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index.html
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|
| 1 |
+
<!DOCTYPE html>
|
| 2 |
+
<html lang="zh-CN">
|
| 3 |
+
<head>
|
| 4 |
+
<meta charset="UTF-8">
|
| 5 |
+
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
| 6 |
+
<title>论文雷达 - 前沿论文自动化爬取解析系统</title>
|
| 7 |
+
<link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css" rel="stylesheet">
|
| 8 |
+
<style>
|
| 9 |
+
:root {
|
| 10 |
+
--primary-color: #6366f1;
|
| 11 |
+
--primary-dark: #4f46e5;
|
| 12 |
+
--primary-light: #818cf8;
|
| 13 |
+
--secondary-color: #06b6d4;
|
| 14 |
+
--accent-color: #f59e0b;
|
| 15 |
+
--bg-dark: #0f172a;
|
| 16 |
+
--bg-card: #1e293b;
|
| 17 |
+
--bg-card-hover: #334155;
|
| 18 |
+
--text-primary: #f1f5f9;
|
| 19 |
+
--text-secondary: #94a3b8;
|
| 20 |
+
--text-muted: #64748b;
|
| 21 |
+
--border-color: #334155;
|
| 22 |
+
--success: #10b981;
|
| 23 |
+
--warning: #f59e0b;
|
| 24 |
+
--error: #ef4444;
|
| 25 |
+
--shadow-lg: 0 25px 50px -12px rgba(0, 0, 0, 0.5);
|
| 26 |
+
--shadow-md: 0 10px 15px -3px rgba(0, 0, 0, 0.3);
|
| 27 |
+
--gradient-main: linear-gradient(135deg, var(--primary-color), var(--secondary-color));
|
| 28 |
+
}
|
| 29 |
+
|
| 30 |
+
* {
|
| 31 |
+
margin: 0;
|
| 32 |
+
padding: 0;
|
| 33 |
+
box-sizing: border-box;
|
| 34 |
+
}
|
| 35 |
+
|
| 36 |
+
body {
|
| 37 |
+
font-family: 'Segoe UI', system-ui, -apple-system, sans-serif;
|
| 38 |
+
background: var(--bg-dark);
|
| 39 |
+
color: var(--text-primary);
|
| 40 |
+
min-height: 100vh;
|
| 41 |
+
overflow-x: hidden;
|
| 42 |
+
}
|
| 43 |
+
|
| 44 |
+
/* Header */
|
| 45 |
+
.header {
|
| 46 |
+
background: rgba(15, 23, 42, 0.95);
|
| 47 |
+
backdrop-filter: blur(10px);
|
| 48 |
+
border-bottom: 1px solid var(--border-color);
|
| 49 |
+
padding: 1rem 2rem;
|
| 50 |
+
position: fixed;
|
| 51 |
+
top: 0;
|
| 52 |
+
left: 0;
|
| 53 |
+
right: 0;
|
| 54 |
+
z-index: 1000;
|
| 55 |
+
display: flex;
|
| 56 |
+
justify-content: space-between;
|
| 57 |
+
align-items: center;
|
| 58 |
+
}
|
| 59 |
+
|
| 60 |
+
.logo {
|
| 61 |
+
display: flex;
|
| 62 |
+
align-items: center;
|
| 63 |
+
gap: 0.75rem;
|
| 64 |
+
font-size: 1.5rem;
|
| 65 |
+
font-weight: 700;
|
| 66 |
+
background: var(--gradient-main);
|
| 67 |
+
-webkit-background-clip: text;
|
| 68 |
+
-webkit-text-fill-color: transparent;
|
| 69 |
+
background-clip: text;
|
| 70 |
+
}
|
| 71 |
+
|
| 72 |
+
.logo i {
|
| 73 |
+
-webkit-text-fill-color: var(--primary-light);
|
| 74 |
+
}
|
| 75 |
+
|
| 76 |
+
.logo span {
|
| 77 |
+
font-size: 0.85rem;
|
| 78 |
+
color: var(--text-secondary);
|
| 79 |
+
font-weight: 400;
|
| 80 |
+
margin-left: 0.5rem;
|
| 81 |
+
}
|
| 82 |
+
|
| 83 |
+
.header-actions {
|
| 84 |
+
display: flex;
|
| 85 |
+
gap: 1rem;
|
| 86 |
+
align-items: center;
|
| 87 |
+
}
|
| 88 |
+
|
| 89 |
+
.notification-btn {
|
| 90 |
+
position: relative;
|
| 91 |
+
background: transparent;
|
| 92 |
+
border: none;
|
| 93 |
+
color: var(--text-secondary);
|
| 94 |
+
font-size: 1.25rem;
|
| 95 |
+
cursor: pointer;
|
| 96 |
+
padding: 0.5rem;
|
| 97 |
+
border-radius: 0.5rem;
|
| 98 |
+
transition: all 0.3s;
|
| 99 |
+
}
|
| 100 |
+
|
| 101 |
+
.notification-btn:hover {
|
| 102 |
+
background: var(--bg-card);
|
| 103 |
+
color: var(--text-primary);
|
| 104 |
+
}
|
| 105 |
+
|
| 106 |
+
.notification-badge {
|
| 107 |
+
position: absolute;
|
| 108 |
+
top: 0;
|
| 109 |
+
right: 0;
|
| 110 |
+
background: var(--error);
|
| 111 |
+
color: white;
|
| 112 |
+
font-size: 0.65rem;
|
| 113 |
+
padding: 0.15rem 0.4rem;
|
| 114 |
+
border-radius: 1rem;
|
| 115 |
+
font-weight: 600;
|
| 116 |
+
}
|
| 117 |
+
|
| 118 |
+
.user-avatar {
|
| 119 |
+
width: 40px;
|
| 120 |
+
height: 40px;
|
| 121 |
+
border-radius: 50%;
|
| 122 |
+
background: var(--gradient-main);
|
| 123 |
+
display: flex;
|
| 124 |
+
align-items: center;
|
| 125 |
+
justify-content: center;
|
| 126 |
+
font-weight: 600;
|
| 127 |
+
cursor: pointer;
|
| 128 |
+
transition: transform 0.3s;
|
| 129 |
+
}
|
| 130 |
+
|
| 131 |
+
.user-avatar:hover {
|
| 132 |
+
transform: scale(1.05);
|
| 133 |
+
}
|
| 134 |
+
|
| 135 |
+
/* Main Layout */
|
| 136 |
+
.main-container {
|
| 137 |
+
display: flex;
|
| 138 |
+
margin-top: 73px;
|
| 139 |
+
min-height: calc(100vh - 73px);
|
| 140 |
+
}
|
| 141 |
+
|
| 142 |
+
/* Sidebar */
|
| 143 |
+
.sidebar {
|
| 144 |
+
width: 260px;
|
| 145 |
+
background: var(--bg-card);
|
| 146 |
+
border-right: 1px solid var(--border-color);
|
| 147 |
+
padding: 1.5rem;
|
| 148 |
+
position: fixed;
|
| 149 |
+
top: 73px;
|
| 150 |
+
bottom: 0;
|
| 151 |
+
left: 0;
|
| 152 |
+
overflow-y: auto;
|
| 153 |
+
transition: transform 0.3s ease;
|
| 154 |
+
}
|
| 155 |
+
|
| 156 |
+
.sidebar-section {
|
| 157 |
+
margin-bottom: 2rem;
|
| 158 |
+
}
|
| 159 |
+
|
| 160 |
+
.sidebar-title {
|
| 161 |
+
font-size: 0.75rem;
|
| 162 |
+
text-transform: uppercase;
|
| 163 |
+
letter-spacing: 0.1em;
|
| 164 |
+
color: var(--text-muted);
|
| 165 |
+
margin-bottom: 1rem;
|
| 166 |
+
font-weight: 600;
|
| 167 |
+
}
|
| 168 |
+
|
| 169 |
+
.nav-item {
|
| 170 |
+
display: flex;
|
| 171 |
+
align-items: center;
|
| 172 |
+
gap: 0.75rem;
|
| 173 |
+
padding: 0.75rem 1rem;
|
| 174 |
+
border-radius: 0.75rem;
|
| 175 |
+
color: var(--text-secondary);
|
| 176 |
+
cursor: pointer;
|
| 177 |
+
transition: all 0.3s;
|
| 178 |
+
margin-bottom: 0.25rem;
|
| 179 |
+
}
|
| 180 |
+
|
| 181 |
+
.nav-item:hover {
|
| 182 |
+
background: var(--bg-card-hover);
|
| 183 |
+
color: var(--text-primary);
|
| 184 |
+
}
|
| 185 |
+
|
| 186 |
+
.nav-item.active {
|
| 187 |
+
background: var(--gradient-main);
|
| 188 |
+
color: white;
|
| 189 |
+
}
|
| 190 |
+
|
| 191 |
+
.nav-item i {
|
| 192 |
+
width: 20px;
|
| 193 |
+
text-align: center;
|
| 194 |
+
}
|
| 195 |
+
|
| 196 |
+
.nav-item span {
|
| 197 |
+
flex: 1;
|
| 198 |
+
}
|
| 199 |
+
|
| 200 |
+
.nav-item .badge {
|
| 201 |
+
background: rgba(255, 255, 255, 0.2);
|
| 202 |
+
padding: 0.15rem 0.5rem;
|
| 203 |
+
border-radius: 1rem;
|
| 204 |
+
font-size: 0.7rem;
|
| 205 |
+
}
|
| 206 |
+
|
| 207 |
+
/* Content Area */
|
| 208 |
+
.content {
|
| 209 |
+
flex: 1;
|
| 210 |
+
margin-left: 260px;
|
| 211 |
+
padding: 2rem;
|
| 212 |
+
}
|
| 213 |
+
|
| 214 |
+
/* Search Section */
|
| 215 |
+
.search-section {
|
| 216 |
+
margin-bottom: 2rem;
|
| 217 |
+
}
|
| 218 |
+
|
| 219 |
+
.search-container {
|
| 220 |
+
background: var(--bg-card);
|
| 221 |
+
border-radius: 1rem;
|
| 222 |
+
padding: 1.5rem;
|
| 223 |
+
margin-bottom: 1.5rem;
|
| 224 |
+
border: 1px solid var(--border-color);
|
| 225 |
+
}
|
| 226 |
+
|
| 227 |
+
.search-header {
|
| 228 |
+
display: flex;
|
| 229 |
+
justify-content: space-between;
|
| 230 |
+
align-items: center;
|
| 231 |
+
margin-bottom: 1rem;
|
| 232 |
+
}
|
| 233 |
+
|
| 234 |
+
.search-title {
|
| 235 |
+
font-size: 1.25rem;
|
| 236 |
+
font-weight: 600;
|
| 237 |
+
}
|
| 238 |
+
|
| 239 |
+
.search-input-wrapper {
|
| 240 |
+
position: relative;
|
| 241 |
+
}
|
| 242 |
+
|
| 243 |
+
.search-input {
|
| 244 |
+
width: 100%;
|
| 245 |
+
padding: 1rem 1rem 1rem 3rem;
|
| 246 |
+
background: var(--bg-dark);
|
| 247 |
+
border: 2px solid var(--border-color);
|
| 248 |
+
border-radius: 0.75rem;
|
| 249 |
+
color: var(--text-primary);
|
| 250 |
+
font-size: 1rem;
|
| 251 |
+
transition: all 0.3s;
|
| 252 |
+
}
|
| 253 |
+
|
| 254 |
+
.search-input:focus {
|
| 255 |
+
outline: none;
|
| 256 |
+
border-color: var(--primary-color);
|
| 257 |
+
box-shadow: 0 0 0 4px rgba(99, 102, 241, 0.1);
|
| 258 |
+
}
|
| 259 |
+
|
| 260 |
+
.search-input::placeholder {
|
| 261 |
+
color: var(--text-muted);
|
| 262 |
+
}
|
| 263 |
+
|
| 264 |
+
.search-icon {
|
| 265 |
+
position: absolute;
|
| 266 |
+
left: 1rem;
|
| 267 |
+
top: 50%;
|
| 268 |
+
transform: translateY(-50%);
|
| 269 |
+
color: var(--text-muted);
|
| 270 |
+
font-size: 1.1rem;
|
| 271 |
+
}
|
| 272 |
+
|
| 273 |
+
.search-filters {
|
| 274 |
+
display: flex;
|
| 275 |
+
gap: 1rem;
|
| 276 |
+
margin-top: 1rem;
|
| 277 |
+
flex-wrap: wrap;
|
| 278 |
+
}
|
| 279 |
+
|
| 280 |
+
.filter-chip {
|
| 281 |
+
padding: 0.5rem 1rem;
|
| 282 |
+
background: var(--bg-dark);
|
| 283 |
+
border: 1px solid var(--border-color);
|
| 284 |
+
border-radius: 2rem;
|
| 285 |
+
font-size: 0.875rem;
|
| 286 |
+
color: var(--text-secondary);
|
| 287 |
+
cursor: pointer;
|
| 288 |
+
transition: all 0.3s;
|
| 289 |
+
display: flex;
|
| 290 |
+
align-items: center;
|
| 291 |
+
gap: 0.5rem;
|
| 292 |
+
}
|
| 293 |
+
|
| 294 |
+
.filter-chip:hover {
|
| 295 |
+
border-color: var(--primary-color);
|
| 296 |
+
color: var(--primary-light);
|
| 297 |
+
}
|
| 298 |
+
|
| 299 |
+
.filter-chip.active {
|
| 300 |
+
background: var(--primary-color);
|
| 301 |
+
border-color: var(--primary-color);
|
| 302 |
+
color: white;
|
| 303 |
+
}
|
| 304 |
+
|
| 305 |
+
.search-btn {
|
| 306 |
+
padding: 0.75rem 2rem;
|
| 307 |
+
background: var(--gradient-main);
|
| 308 |
+
border: none;
|
| 309 |
+
border-radius: 0.75rem;
|
| 310 |
+
color: white;
|
| 311 |
+
font-weight: 600;
|
| 312 |
+
cursor: pointer;
|
| 313 |
+
transition: all 0.3s;
|
| 314 |
+
display: flex;
|
| 315 |
+
align-items: center;
|
| 316 |
+
gap: 0.5rem;
|
| 317 |
+
}
|
| 318 |
+
|
| 319 |
+
.search-btn:hover {
|
| 320 |
+
transform: translateY(-2px);
|
| 321 |
+
box-shadow: 0 10px 20px rgba(99, 102, 241, 0.3);
|
| 322 |
+
}
|
| 323 |
+
|
| 324 |
+
/* Stats Grid */
|
| 325 |
+
.stats-grid {
|
| 326 |
+
display: grid;
|
| 327 |
+
grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
|
| 328 |
+
gap: 1rem;
|
| 329 |
+
margin-bottom: 2rem;
|
| 330 |
+
}
|
| 331 |
+
|
| 332 |
+
.stat-card {
|
| 333 |
+
background: var(--bg-card);
|
| 334 |
+
border-radius: 1rem;
|
| 335 |
+
padding: 1.25rem;
|
| 336 |
+
border: 1px solid var(--border-color);
|
| 337 |
+
transition: all 0.3s;
|
| 338 |
+
}
|
| 339 |
+
|
| 340 |
+
.stat-card:hover {
|
| 341 |
+
transform: translateY(-4px);
|
| 342 |
+
box-shadow: var(--shadow-md);
|
| 343 |
+
}
|
| 344 |
+
|
| 345 |
+
.stat-icon {
|
| 346 |
+
width: 48px;
|
| 347 |
+
height: 48px;
|
| 348 |
+
border-radius: 0.75rem;
|
| 349 |
+
display: flex;
|
| 350 |
+
align-items: center;
|
| 351 |
+
justify-content: center;
|
| 352 |
+
font-size: 1.25rem;
|
| 353 |
+
margin-bottom: 1rem;
|
| 354 |
+
}
|
| 355 |
+
|
| 356 |
+
.stat-icon.blue {
|
| 357 |
+
background: rgba(99, 102, 241, 0.2);
|
| 358 |
+
color: var(--primary-light);
|
| 359 |
+
}
|
| 360 |
+
|
| 361 |
+
.stat-icon.cyan {
|
| 362 |
+
background: rgba(6, 182, 212, 0.2);
|
| 363 |
+
color: var(--secondary-color);
|
| 364 |
+
}
|
| 365 |
+
|
| 366 |
+
.stat-icon.amber {
|
| 367 |
+
background: rgba(245, 158, 11, 0.2);
|
| 368 |
+
color: var(--accent-color);
|
| 369 |
+
}
|
| 370 |
+
|
| 371 |
+
.stat-icon.green {
|
| 372 |
+
background: rgba(16, 185, 129, 0.2);
|
| 373 |
+
color: var(--success);
|
| 374 |
+
}
|
| 375 |
+
|
| 376 |
+
.stat-value {
|
| 377 |
+
font-size: 1.75rem;
|
| 378 |
+
font-weight: 700;
|
| 379 |
+
margin-bottom: 0.25rem;
|
| 380 |
+
}
|
| 381 |
+
|
| 382 |
+
.stat-label {
|
| 383 |
+
color: var(--text-secondary);
|
| 384 |
+
font-size: 0.875rem;
|
| 385 |
+
}
|
| 386 |
+
|
| 387 |
+
.stat-trend {
|
| 388 |
+
display: flex;
|
| 389 |
+
align-items: center;
|
| 390 |
+
gap: 0.25rem;
|
| 391 |
+
font-size: 0.75rem;
|
| 392 |
+
margin-top: 0.5rem;
|
| 393 |
+
}
|
| 394 |
+
|
| 395 |
+
.stat-trend.up {
|
| 396 |
+
color: var(--success);
|
| 397 |
+
}
|
| 398 |
+
|
| 399 |
+
.stat-trend.down {
|
| 400 |
+
color: var(--error);
|
| 401 |
+
}
|
| 402 |
+
|
| 403 |
+
/* Paper List */
|
| 404 |
+
.papers-section {
|
| 405 |
+
margin-bottom: 2rem;
|
| 406 |
+
}
|
| 407 |
+
|
| 408 |
+
.section-header {
|
| 409 |
+
display: flex;
|
| 410 |
+
justify-content: space-between;
|
| 411 |
+
align-items: center;
|
| 412 |
+
margin-bottom: 1.5rem;
|
| 413 |
+
}
|
| 414 |
+
|
| 415 |
+
.section-title {
|
| 416 |
+
font-size: 1.25rem;
|
| 417 |
+
font-weight: 600;
|
| 418 |
+
display: flex;
|
| 419 |
+
align-items: center;
|
| 420 |
+
gap: 0.5rem;
|
| 421 |
+
}
|
| 422 |
+
|
| 423 |
+
.view-toggle {
|
| 424 |
+
display: flex;
|
| 425 |
+
gap: 0.25rem;
|
| 426 |
+
background: var(--bg-card);
|
| 427 |
+
border-radius: 0.5rem;
|
| 428 |
+
padding: 0.25rem;
|
| 429 |
+
}
|
| 430 |
+
|
| 431 |
+
.view-btn {
|
| 432 |
+
padding: 0.5rem 0.75rem;
|
| 433 |
+
background: transparent;
|
| 434 |
+
border: none;
|
| 435 |
+
color: var(--text-muted);
|
| 436 |
+
border-radius: 0.375rem;
|
| 437 |
+
cursor: pointer;
|
| 438 |
+
transition: all 0.3s;
|
| 439 |
+
}
|
| 440 |
+
|
| 441 |
+
.view-btn.active {
|
| 442 |
+
background: var(--primary-color);
|
| 443 |
+
color: white;
|
| 444 |
+
}
|
| 445 |
+
|
| 446 |
+
.paper-list {
|
| 447 |
+
display: flex;
|
| 448 |
+
flex-direction: column;
|
| 449 |
+
gap: 1rem;
|
| 450 |
+
}
|
| 451 |
+
|
| 452 |
+
.paper-card {
|
| 453 |
+
background: var(--bg-card);
|
| 454 |
+
border-radius: 1rem;
|
| 455 |
+
padding: 1.5rem;
|
| 456 |
+
border: 1px solid var(--border-color);
|
| 457 |
+
transition: all 0.3s;
|
| 458 |
+
cursor: pointer;
|
| 459 |
+
}
|
| 460 |
+
|
| 461 |
+
.paper-card:hover {
|
| 462 |
+
border-color: var(--primary-color);
|
| 463 |
+
transform: translateX(4px);
|
| 464 |
+
box-shadow: -4px 0 0 var(--primary-color);
|
| 465 |
+
}
|
| 466 |
+
|
| 467 |
+
.paper-header {
|
| 468 |
+
display: flex;
|
| 469 |
+
justify-content: space-between;
|
| 470 |
+
align-items: flex-start;
|
| 471 |
+
margin-bottom: 1rem;
|
| 472 |
+
}
|
| 473 |
+
|
| 474 |
+
.paper-title {
|
| 475 |
+
font-size: 1.1rem;
|
| 476 |
+
font-weight: 600;
|
| 477 |
+
color: var(--text-primary);
|
| 478 |
+
line-height: 1.4;
|
| 479 |
+
flex: 1;
|
| 480 |
+
margin-right: 1rem;
|
| 481 |
+
}
|
| 482 |
+
|
| 483 |
+
.paper-status {
|
| 484 |
+
padding: 0.25rem 0.75rem;
|
| 485 |
+
border-radius: 2rem;
|
| 486 |
+
font-size: 0.75rem;
|
| 487 |
+
font-weight: 500;
|
| 488 |
+
white-space: nowrap;
|
| 489 |
+
}
|
| 490 |
+
|
| 491 |
+
.status-new {
|
| 492 |
+
background: rgba(16, 185, 129, 0.2);
|
| 493 |
+
color: var(--success);
|
| 494 |
+
}
|
| 495 |
+
|
| 496 |
+
.status-hot {
|
| 497 |
+
background: rgba(239, 68, 68, 0.2);
|
| 498 |
+
color: var(--error);
|
| 499 |
+
}
|
| 500 |
+
|
| 501 |
+
.status-analyzing {
|
| 502 |
+
background: rgba(245, 158, 11, 0.2);
|
| 503 |
+
color: var(--accent-color);
|
| 504 |
+
}
|
| 505 |
+
|
| 506 |
+
.paper-meta {
|
| 507 |
+
display: flex;
|
| 508 |
+
flex-wrap: wrap;
|
| 509 |
+
gap: 1rem;
|
| 510 |
+
margin-bottom: 1rem;
|
| 511 |
+
color: var(--text-secondary);
|
| 512 |
+
font-size: 0.875rem;
|
| 513 |
+
}
|
| 514 |
+
|
| 515 |
+
.paper-meta-item {
|
| 516 |
+
display: flex;
|
| 517 |
+
align-items: center;
|
| 518 |
+
gap: 0.5rem;
|
| 519 |
+
}
|
| 520 |
+
|
| 521 |
+
.paper-abstract {
|
| 522 |
+
color: var(--text-secondary);
|
| 523 |
+
font-size: 0.9rem;
|
| 524 |
+
line-height: 1.6;
|
| 525 |
+
display: -webkit-box;
|
| 526 |
+
-webkit-line-clamp: 2;
|
| 527 |
+
-webkit-box-orient: vertical;
|
| 528 |
+
overflow: hidden;
|
| 529 |
+
margin-bottom: 1rem;
|
| 530 |
+
}
|
| 531 |
+
|
| 532 |
+
.paper-tags {
|
| 533 |
+
display: flex;
|
| 534 |
+
flex-wrap: wrap;
|
| 535 |
+
gap: 0.5rem;
|
| 536 |
+
margin-bottom: 1rem;
|
| 537 |
+
}
|
| 538 |
+
|
| 539 |
+
.tag {
|
| 540 |
+
padding: 0.25rem 0.75rem;
|
| 541 |
+
background: var(--bg-dark);
|
| 542 |
+
border-radius: 2rem;
|
| 543 |
+
font-size: 0.75rem;
|
| 544 |
+
color: var(--text-secondary);
|
| 545 |
+
}
|
| 546 |
+
|
| 547 |
+
.paper-footer {
|
| 548 |
+
display: flex;
|
| 549 |
+
justify-content: space-between;
|
| 550 |
+
align-items: center;
|
| 551 |
+
padding-top: 1rem;
|
| 552 |
+
border-top: 1px solid var(--border-color);
|
| 553 |
+
}
|
| 554 |
+
|
| 555 |
+
.paper-stats {
|
| 556 |
+
display: flex;
|
| 557 |
+
gap: 1.5rem;
|
| 558 |
+
color: var(--text-muted);
|
| 559 |
+
font-size: 0.85rem;
|
| 560 |
+
}
|
| 561 |
+
|
| 562 |
+
.paper-stats span {
|
| 563 |
+
display: flex;
|
| 564 |
+
align-items: center;
|
| 565 |
+
gap: 0.5rem;
|
| 566 |
+
}
|
| 567 |
+
|
| 568 |
+
.paper-actions {
|
| 569 |
+
display: flex;
|
| 570 |
+
gap: 0.5rem;
|
| 571 |
+
}
|
| 572 |
+
|
| 573 |
+
.action-btn {
|
| 574 |
+
padding: 0.5rem 1rem;
|
| 575 |
+
background: transparent;
|
| 576 |
+
border: 1px solid var(--border-color);
|
| 577 |
+
border-radius: 0.5rem;
|
| 578 |
+
color: var(--text-secondary);
|
| 579 |
+
font-size: 0.85rem;
|
| 580 |
+
cursor: pointer;
|
| 581 |
+
transition: all 0.3s;
|
| 582 |
+
display: flex;
|
| 583 |
+
align-items: center;
|
| 584 |
+
gap: 0.5rem;
|
| 585 |
+
}
|
| 586 |
+
|
| 587 |
+
.action-btn:hover {
|
| 588 |
+
border-color: var(--primary-color);
|
| 589 |
+
color: var(--primary-light);
|
| 590 |
+
}
|
| 591 |
+
|
| 592 |
+
.action-btn.primary {
|
| 593 |
+
background: var(--primary-color);
|
| 594 |
+
border-color: var(--primary-color);
|
| 595 |
+
color: white;
|
| 596 |
+
}
|
| 597 |
+
|
| 598 |
+
.action-btn.primary:hover {
|
| 599 |
+
background: var(--primary-dark);
|
| 600 |
+
}
|
| 601 |
+
|
| 602 |
+
/* Analysis Panel */
|
| 603 |
+
.analysis-panel {
|
| 604 |
+
position: fixed;
|
| 605 |
+
top: 0;
|
| 606 |
+
right: -600px;
|
| 607 |
+
width: 600px;
|
| 608 |
+
height: 100vh;
|
| 609 |
+
background: var(--bg-card);
|
| 610 |
+
border-left: 1px solid var(--border-color);
|
| 611 |
+
z-index: 2000;
|
| 612 |
+
transition: right 0.4s cubic-bezier(0.4, 0, 0.2, 1);
|
| 613 |
+
display: flex;
|
| 614 |
+
flex-direction: column;
|
| 615 |
+
}
|
| 616 |
+
|
| 617 |
+
.analysis-panel.open {
|
| 618 |
+
right: 0;
|
| 619 |
+
}
|
| 620 |
+
|
| 621 |
+
.panel-header {
|
| 622 |
+
padding: 1.5rem;
|
| 623 |
+
border-bottom: 1px solid var(--border-color);
|
| 624 |
+
display: flex;
|
| 625 |
+
justify-content: space-between;
|
| 626 |
+
align-items: center;
|
| 627 |
+
}
|
| 628 |
+
|
| 629 |
+
.panel-title {
|
| 630 |
+
font-size: 1.25rem;
|
| 631 |
+
font-weight: 600;
|
| 632 |
+
}
|
| 633 |
+
|
| 634 |
+
.close-btn {
|
| 635 |
+
background: transparent;
|
| 636 |
+
border: none;
|
| 637 |
+
color: var(--text-secondary);
|
| 638 |
+
font-size: 1.25rem;
|
| 639 |
+
cursor: pointer;
|
| 640 |
+
padding: 0.5rem;
|
| 641 |
+
border-radius: 0.5rem;
|
| 642 |
+
transition: all 0.3s;
|
| 643 |
+
}
|
| 644 |
+
|
| 645 |
+
.close-btn:hover {
|
| 646 |
+
background: var(--bg-dark);
|
| 647 |
+
color: var(--text-primary);
|
| 648 |
+
}
|
| 649 |
+
|
| 650 |
+
.panel-content {
|
| 651 |
+
flex: 1;
|
| 652 |
+
overflow-y: auto;
|
| 653 |
+
padding: 1.5rem;
|
| 654 |
+
}
|
| 655 |
+
|
| 656 |
+
.analysis-section {
|
| 657 |
+
margin-bottom: 2rem;
|
| 658 |
+
}
|
| 659 |
+
|
| 660 |
+
.analysis-section-title {
|
| 661 |
+
font-size: 1rem;
|
| 662 |
+
font-weight: 600;
|
| 663 |
+
margin-bottom: 1rem;
|
| 664 |
+
display: flex;
|
| 665 |
+
align-items: center;
|
| 666 |
+
gap: 0.5rem;
|
| 667 |
+
}
|
| 668 |
+
|
| 669 |
+
.analysis-section-title i {
|
| 670 |
+
color: var(--primary-light);
|
| 671 |
+
}
|
| 672 |
+
|
| 673 |
+
.analysis-card {
|
| 674 |
+
background: var(--bg-dark);
|
| 675 |
+
border-radius: 0.75rem;
|
| 676 |
+
padding: 1rem;
|
| 677 |
+
border: 1px solid var(--border-color);
|
| 678 |
+
}
|
| 679 |
+
|
| 680 |
+
.extracted-info {
|
| 681 |
+
display: flex;
|
| 682 |
+
flex-direction: column;
|
| 683 |
+
gap: 1rem;
|
| 684 |
+
}
|
| 685 |
+
|
| 686 |
+
.info-item {
|
| 687 |
+
display: flex;
|
| 688 |
+
gap: 1rem;
|
| 689 |
+
}
|
| 690 |
+
|
| 691 |
+
.info-label {
|
| 692 |
+
color: var(--text-muted);
|
| 693 |
+
font-size: 0.85rem;
|
| 694 |
+
min-width: 80px;
|
| 695 |
+
}
|
| 696 |
+
|
| 697 |
+
.info-value {
|
| 698 |
+
color: var(--text-primary);
|
| 699 |
+
font-size: 0.9rem;
|
| 700 |
+
flex: 1;
|
| 701 |
+
}
|
| 702 |
+
|
| 703 |
+
/* Loading Animation */
|
| 704 |
+
.loading-overlay {
|
| 705 |
+
position: fixed;
|
| 706 |
+
top: 0;
|
| 707 |
+
left: 0;
|
| 708 |
+
right: 0;
|
| 709 |
+
bottom: 0;
|
| 710 |
+
background: rgba(15, 23, 42, 0.9);
|
| 711 |
+
display: none;
|
| 712 |
+
align-items: center;
|
| 713 |
+
justify-content: center;
|
| 714 |
+
z-index: 3000;
|
| 715 |
+
}
|
| 716 |
+
|
| 717 |
+
.loading-overlay.active {
|
| 718 |
+
display: flex;
|
| 719 |
+
}
|
| 720 |
+
|
| 721 |
+
.loader {
|
| 722 |
+
text-align: center;
|
| 723 |
+
}
|
| 724 |
+
|
| 725 |
+
.loader-spinner {
|
| 726 |
+
width: 60px;
|
| 727 |
+
height: 60px;
|
| 728 |
+
border: 3px solid var(--border-color);
|
| 729 |
+
border-top-color: var(--primary-color);
|
| 730 |
+
border-radius: 50%;
|
| 731 |
+
animation: spin 1s linear infinite;
|
| 732 |
+
margin: 0 auto 1rem;
|
| 733 |
+
}
|
| 734 |
+
|
| 735 |
+
@keyframes spin {
|
| 736 |
+
to { transform: rotate(360deg); }
|
| 737 |
+
}
|
| 738 |
+
|
| 739 |
+
.loader-text {
|
| 740 |
+
color: var(--text-secondary);
|
| 741 |
+
font-size: 0.9rem;
|
| 742 |
+
}
|
| 743 |
+
|
| 744 |
+
.progress-bar {
|
| 745 |
+
width: 200px;
|
| 746 |
+
height: 4px;
|
| 747 |
+
background: var(--border-color);
|
| 748 |
+
border-radius: 2px;
|
| 749 |
+
margin-top: 1rem;
|
| 750 |
+
overflow: hidden;
|
| 751 |
+
}
|
| 752 |
+
|
| 753 |
+
.progress-fill {
|
| 754 |
+
height: 100%;
|
| 755 |
+
background: var(--gradient-main);
|
| 756 |
+
border-radius: 2px;
|
| 757 |
+
transition: width 0.3s;
|
| 758 |
+
animation: progress 2s ease-in-out infinite;
|
| 759 |
+
}
|
| 760 |
+
|
| 761 |
+
@keyframes progress {
|
| 762 |
+
0% { width: 0%; }
|
| 763 |
+
50% { width: 70%; }
|
| 764 |
+
100% { width: 100%; }
|
| 765 |
+
}
|
| 766 |
+
|
| 767 |
+
/* Timeline */
|
| 768 |
+
.timeline {
|
| 769 |
+
position: relative;
|
| 770 |
+
padding-left: 1.5rem;
|
| 771 |
+
}
|
| 772 |
+
|
| 773 |
+
.timeline::before {
|
| 774 |
+
content: '';
|
| 775 |
+
position: absolute;
|
| 776 |
+
left: 0;
|
| 777 |
+
top: 0;
|
| 778 |
+
bottom: 0;
|
| 779 |
+
width: 2px;
|
| 780 |
+
background: var(--border-color);
|
| 781 |
+
}
|
| 782 |
+
|
| 783 |
+
.timeline-item {
|
| 784 |
+
position: relative;
|
| 785 |
+
padding-bottom: 1.5rem;
|
| 786 |
+
}
|
| 787 |
+
|
| 788 |
+
.timeline-item::before {
|
| 789 |
+
content: '';
|
| 790 |
+
position: absolute;
|
| 791 |
+
left: -1.65rem;
|
| 792 |
+
top: 0.25rem;
|
| 793 |
+
width: 10px;
|
| 794 |
+
height: 10px;
|
| 795 |
+
background: var(--primary-color);
|
| 796 |
+
border-radius: 50%;
|
| 797 |
+
border: 2px solid var(--bg-card);
|
| 798 |
+
}
|
| 799 |
+
|
| 800 |
+
.timeline-time {
|
| 801 |
+
font-size: 0.75rem;
|
| 802 |
+
color: var(--text-muted);
|
| 803 |
+
margin-bottom: 0.25rem;
|
| 804 |
+
}
|
| 805 |
+
|
| 806 |
+
.timeline-content {
|
| 807 |
+
font-size: 0.9rem;
|
| 808 |
+
color: var(--text-primary);
|
| 809 |
+
}
|
| 810 |
+
|
| 811 |
+
/* Keywords Cloud */
|
| 812 |
+
.keywords-cloud {
|
| 813 |
+
display: flex;
|
| 814 |
+
flex-wrap: wrap;
|
| 815 |
+
gap: 0.5rem;
|
| 816 |
+
}
|
| 817 |
+
|
| 818 |
+
.keyword {
|
| 819 |
+
padding: 0.35rem 0.75rem;
|
| 820 |
+
background: linear-gradient(135deg, rgba(99, 102, 241, 0.2), rgba(6, 182, 212, 0.2));
|
| 821 |
+
border-radius: 2rem;
|
| 822 |
+
font-size: 0.8rem;
|
| 823 |
+
color: var(--primary-light);
|
| 824 |
+
border: 1px solid rgba(99, 102, 241, 0.3);
|
| 825 |
+
}
|
| 826 |
+
|
| 827 |
+
.keyword.size-lg {
|
| 828 |
+
font-size: 1rem;
|
| 829 |
+
padding: 0.5rem 1rem;
|
| 830 |
+
}
|
| 831 |
+
|
| 832 |
+
.keyword.size-md {
|
| 833 |
+
font-size: 0.9rem;
|
| 834 |
+
}
|
| 835 |
+
|
| 836 |
+
/* Overlay */
|
| 837 |
+
.overlay {
|
| 838 |
+
position: fixed;
|
| 839 |
+
top: 0;
|
| 840 |
+
left: 0;
|
| 841 |
+
right: 0;
|
| 842 |
+
bottom: 0;
|
| 843 |
+
background: rgba(0, 0, 0, 0.5);
|
| 844 |
+
opacity: 0;
|
| 845 |
+
visibility: hidden;
|
| 846 |
+
transition: all 0.3s;
|
| 847 |
+
z-index: 1500;
|
| 848 |
+
}
|
| 849 |
+
|
| 850 |
+
.overlay.active {
|
| 851 |
+
opacity: 1;
|
| 852 |
+
visibility: visible;
|
| 853 |
+
}
|
| 854 |
+
|
| 855 |
+
/* Pagination */
|
| 856 |
+
.pagination {
|
| 857 |
+
display: flex;
|
| 858 |
+
justify-content: center;
|
| 859 |
+
gap: 0.5rem;
|
| 860 |
+
margin-top: 2rem;
|
| 861 |
+
}
|
| 862 |
+
|
| 863 |
+
.page-btn {
|
| 864 |
+
padding: 0.75rem 1rem;
|
| 865 |
+
background: var(--bg-card);
|
| 866 |
+
border: 1px solid var(--border-color);
|
| 867 |
+
border-radius: 0.5rem;
|
| 868 |
+
color: var(--text-secondary);
|
| 869 |
+
cursor: pointer;
|
| 870 |
+
transition: all 0.3s;
|
| 871 |
+
}
|
| 872 |
+
|
| 873 |
+
.page-btn:hover {
|
| 874 |
+
border-color: var(--primary-color);
|
| 875 |
+
color: var(--primary-light);
|
| 876 |
+
}
|
| 877 |
+
|
| 878 |
+
.page-btn.active {
|
| 879 |
+
background: var(--primary-color);
|
| 880 |
+
border-color: var(--primary-color);
|
| 881 |
+
color: white;
|
| 882 |
+
}
|
| 883 |
+
|
| 884 |
+
/* Responsive */
|
| 885 |
+
@media (max-width: 1024px) {
|
| 886 |
+
.sidebar {
|
| 887 |
+
transform: translateX(-100%);
|
| 888 |
+
}
|
| 889 |
+
|
| 890 |
+
.sidebar.open {
|
| 891 |
+
transform: translateX(0);
|
| 892 |
+
}
|
| 893 |
+
|
| 894 |
+
.content {
|
| 895 |
+
margin-left: 0;
|
| 896 |
+
}
|
| 897 |
+
|
| 898 |
+
.analysis-panel {
|
| 899 |
+
width: 100%;
|
| 900 |
+
right: -100%;
|
| 901 |
+
}
|
| 902 |
+
}
|
| 903 |
+
|
| 904 |
+
@media (max-width: 640px) {
|
| 905 |
+
.header {
|
| 906 |
+
padding: 1rem;
|
| 907 |
+
}
|
| 908 |
+
|
| 909 |
+
.content {
|
| 910 |
+
padding: 1rem;
|
| 911 |
+
}
|
| 912 |
+
|
| 913 |
+
.stats-grid {
|
| 914 |
+
grid-template-columns: repeat(2, 1fr);
|
| 915 |
+
}
|
| 916 |
+
|
| 917 |
+
.search-filters {
|
| 918 |
+
gap: 0.5rem;
|
| 919 |
+
}
|
| 920 |
+
|
| 921 |
+
.paper-header {
|
| 922 |
+
flex-direction: column;
|
| 923 |
+
gap: 0.75rem;
|
| 924 |
+
}
|
| 925 |
+
|
| 926 |
+
.paper-footer {
|
| 927 |
+
flex-direction: column;
|
| 928 |
+
gap: 1rem;
|
| 929 |
+
align-items: flex-start;
|
| 930 |
+
}
|
| 931 |
+
}
|
| 932 |
+
|
| 933 |
+
/* Built with anycoder */
|
| 934 |
+
.built-with {
|
| 935 |
+
position: fixed;
|
| 936 |
+
bottom: 1rem;
|
| 937 |
+
left: 1.5rem;
|
| 938 |
+
font-size: 0.8rem;
|
| 939 |
+
color: var(--text-muted);
|
| 940 |
+
z-index: 100;
|
| 941 |
+
}
|
| 942 |
+
|
| 943 |
+
.built-with a {
|
| 944 |
+
color: var(--primary-light);
|
| 945 |
+
text-decoration: none;
|
| 946 |
+
font-weight: 500;
|
| 947 |
+
}
|
| 948 |
+
|
| 949 |
+
.built-with a:hover {
|
| 950 |
+
text-decoration: underline;
|
| 951 |
+
}
|
| 952 |
+
|
| 953 |
+
/* Menu Toggle */
|
| 954 |
+
.menu-toggle {
|
| 955 |
+
display: none;
|
| 956 |
+
background: transparent;
|
| 957 |
+
border: none;
|
| 958 |
+
color: var(--text-primary);
|
| 959 |
+
font-size: 1.25rem;
|
| 960 |
+
cursor: pointer;
|
| 961 |
+
padding: 0.5rem;
|
| 962 |
+
}
|
| 963 |
+
|
| 964 |
+
@media (max-width: 1024px) {
|
| 965 |
+
.menu-toggle {
|
| 966 |
+
display: block;
|
| 967 |
+
}
|
| 968 |
+
}
|
| 969 |
+
|
| 970 |
+
/* Scrollbar */
|
| 971 |
+
::-webkit-scrollbar {
|
| 972 |
+
width: 8px;
|
| 973 |
+
height: 8px;
|
| 974 |
+
}
|
| 975 |
+
|
| 976 |
+
::-webkit-scrollbar-track {
|
| 977 |
+
background: var(--bg-dark);
|
| 978 |
+
}
|
| 979 |
+
|
| 980 |
+
::-webkit-scrollbar-thumb {
|
| 981 |
+
background: var(--border-color);
|
| 982 |
+
border-radius: 4px;
|
| 983 |
+
}
|
| 984 |
+
|
| 985 |
+
::-webkit-scrollbar-thumb:hover {
|
| 986 |
+
background: var(--text-muted);
|
| 987 |
+
}
|
| 988 |
+
|
| 989 |
+
/* Toast Notification */
|
| 990 |
+
.toast-container {
|
| 991 |
+
position: fixed;
|
| 992 |
+
bottom: 2rem;
|
| 993 |
+
right: 2rem;
|
| 994 |
+
z-index: 4000;
|
| 995 |
+
display: flex;
|
| 996 |
+
flex-direction: column;
|
| 997 |
+
gap: 0.75rem;
|
| 998 |
+
}
|
| 999 |
+
|
| 1000 |
+
.toast {
|
| 1001 |
+
background: var(--bg-card);
|
| 1002 |
+
border: 1px solid var(--border-color);
|
| 1003 |
+
border-radius: 0.75rem;
|
| 1004 |
+
padding: 1rem 1.5rem;
|
| 1005 |
+
display: flex;
|
| 1006 |
+
align-items: center;
|
| 1007 |
+
gap: 0.75rem;
|
| 1008 |
+
box-shadow: var(--shadow-lg);
|
| 1009 |
+
animation: slideIn 0.3s ease;
|
| 1010 |
+
}
|
| 1011 |
+
|
| 1012 |
+
@keyframes slideIn {
|
| 1013 |
+
from {
|
| 1014 |
+
transform: translateX(100%);
|
| 1015 |
+
opacity: 0;
|
| 1016 |
+
}
|
| 1017 |
+
to {
|
| 1018 |
+
transform: translateX(0);
|
| 1019 |
+
opacity: 1;
|
| 1020 |
+
}
|
| 1021 |
+
}
|
| 1022 |
+
|
| 1023 |
+
.toast.success {
|
| 1024 |
+
border-color: var(--success);
|
| 1025 |
+
}
|
| 1026 |
+
|
| 1027 |
+
.toast.error {
|
| 1028 |
+
border-color: var(--error);
|
| 1029 |
+
}
|
| 1030 |
+
|
| 1031 |
+
.toast i {
|
| 1032 |
+
font-size: 1.25rem;
|
| 1033 |
+
}
|
| 1034 |
+
|
| 1035 |
+
.toast.success i {
|
| 1036 |
+
color: var(--success);
|
| 1037 |
+
}
|
| 1038 |
+
|
| 1039 |
+
.toast.error i {
|
| 1040 |
+
color: var(--error);
|
| 1041 |
+
}
|
| 1042 |
+
|
| 1043 |
+
/* Abstract highlight */
|
| 1044 |
+
.abstract-highlight {
|
| 1045 |
+
background: rgba(99, 102, 241, 0.2);
|
| 1046 |
+
padding: 0.1rem 0.3rem;
|
| 1047 |
+
border-radius: 0.25rem;
|
| 1048 |
+
}
|
| 1049 |
+
</style>
|
| 1050 |
+
</head>
|
| 1051 |
+
<body>
|
| 1052 |
+
<!-- Header -->
|
| 1053 |
+
<header class="header">
|
| 1054 |
+
<div style="display: flex; align-items: center; gap: 1rem;">
|
| 1055 |
+
<button class="menu-toggle" onclick="toggleSidebar()">
|
| 1056 |
+
<i class="fas fa-bars"></i>
|
| 1057 |
+
</button>
|
| 1058 |
+
<div class="logo">
|
| 1059 |
+
<i class="fas fa-microscope"></i>
|
| 1060 |
+
论文雷达
|
| 1061 |
+
<span>PaperRadar AI</span>
|
| 1062 |
+
</div>
|
| 1063 |
+
</div>
|
| 1064 |
+
<div class="header-actions">
|
| 1065 |
+
<button class="notification-btn">
|
| 1066 |
+
<i class="fas fa-bell"></i>
|
| 1067 |
+
<span class="notification-badge">5</span>
|
| 1068 |
+
</button>
|
| 1069 |
+
<div class="user-avatar">JD</div>
|
| 1070 |
+
</div>
|
| 1071 |
+
</header>
|
| 1072 |
+
|
| 1073 |
+
<!-- Main Container -->
|
| 1074 |
+
<div class="main-container">
|
| 1075 |
+
<!-- Sidebar -->
|
| 1076 |
+
<aside class="sidebar" id="sidebar">
|
| 1077 |
+
<div class="sidebar-section">
|
| 1078 |
+
<div class="sidebar-title">主导航</div>
|
| 1079 |
+
<div class="nav-item active">
|
| 1080 |
+
<i class="fas fa-search"></i>
|
| 1081 |
+
<span>论文搜索</span>
|
| 1082 |
+
</div>
|
| 1083 |
+
<div class="nav-item">
|
| 1084 |
+
<i class="fas fa-fire"></i>
|
| 1085 |
+
<span>热门趋势</span>
|
| 1086 |
+
<span class="badge">Hot</span>
|
| 1087 |
+
</div>
|
| 1088 |
+
<div class="nav-item">
|
| 1089 |
+
<i class="fas fa-star"></i>
|
| 1090 |
+
<span>我的收藏</span>
|
| 1091 |
+
</div>
|
| 1092 |
+
<div class="nav-item">
|
| 1093 |
+
<i class="fas fa-history"></i>
|
| 1094 |
+
<span>浏览历史</span>
|
| 1095 |
+
</div>
|
| 1096 |
+
</div>
|
| 1097 |
+
<div class="sidebar-section">
|
| 1098 |
+
<div class="sidebar-title">数据源</div>
|
| 1099 |
+
<div class="nav-item">
|
| 1100 |
+
<i class="fas fa-database"></i>
|
| 1101 |
+
<span>arXiv</span>
|
| 1102 |
+
<i class="fas fa-check-circle" style="color: var(--success);"></i>
|
| 1103 |
+
</div>
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| 1104 |
+
<div class="nav-item">
|
| 1105 |
+
<i class="fas fa-graduation-cap"></i>
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| 1106 |
+
<span>Semantic Scholar</span>
|
| 1107 |
+
</div>
|
| 1108 |
+
<div class="nav-item">
|
| 1109 |
+
<i class="fas fa-book"></i>
|
| 1110 |
+
<span>PubMed</span>
|
| 1111 |
+
</div>
|
| 1112 |
+
<div class="nav-item">
|
| 1113 |
+
<i class="fas fa-globe"></i>
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| 1114 |
+
<span>IEEEXplore</span>
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| 1115 |
+
</div>
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| 1116 |
+
</div>
|
| 1117 |
+
<div class="sidebar-section">
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| 1118 |
+
<div class="sidebar-title">工具</div>
|
| 1119 |
+
<div class="nav-item">
|
| 1120 |
+
<i class="fas fa-robot"></i>
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| 1121 |
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<span>AI摘要</span>
|
| 1122 |
+
</div>
|
| 1123 |
+
<div class="nav-item">
|
| 1124 |
+
<i class="fas fa-language"></i>
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| 1125 |
+
<span>翻译</span>
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| 1126 |
+
</div>
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| 1127 |
+
<div class="nav-item">
|
| 1128 |
+
<i class="fas fa-download"></i>
|
| 1129 |
+
<span>导出报告</span>
|
| 1130 |
+
</div>
|
| 1131 |
+
</div>
|
| 1132 |
+
</aside>
|
| 1133 |
+
|
| 1134 |
+
<!-- Content -->
|
| 1135 |
+
<main class="content">
|
| 1136 |
+
<!-- Search Section -->
|
| 1137 |
+
<section class="search-section">
|
| 1138 |
+
<div class="search-container">
|
| 1139 |
+
<div class="search-header">
|
| 1140 |
+
<h2 class="search-title"><i class="fas fa-search" style="color: var(--primary-light);"></i> 智能论文搜索</h2>
|
| 1141 |
+
</div>
|
| 1142 |
+
<div class="search-input-wrapper">
|
| 1143 |
+
<i class="fas fa-search search-icon"></i>
|
| 1144 |
+
<input type="text" class="search-input" placeholder="搜索论文标题、作者、关键词... 例如: transformer attention mechanism" id="searchInput">
|
| 1145 |
+
</div>
|
| 1146 |
+
<div class="search-filters">
|
| 1147 |
+
<span class="filter-chip active" data-filter="all">全部</span>
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+
<span class="filter-chip" data-filter="ai">人工智能</span>
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| 1149 |
+
<span class="filter-chip" data-filter="nlp">自然语言处理</span>
|
| 1150 |
+
<span class="filter-chip" data-filter="cv">计算机视觉</span>
|
| 1151 |
+
<span class="filter-chip" data-filter="ml">机器学习</span>
|
| 1152 |
+
<span class="filter-chip" data-filter="robotics">机器人学</span>
|
| 1153 |
+
<span class="filter-chip" data-filter="recent">最新发布</span>
|
| 1154 |
+
<span class="filter-chip" data-filter="high-cited">高引用</span>
|
| 1155 |
+
</div>
|
| 1156 |
+
<div style="margin-top: 1rem; display: flex; justify-content: flex-end;">
|
| 1157 |
+
<button class="search-btn" onclick="searchPapers()">
|
| 1158 |
+
<i class="fas fa-rocket"></i> 开始搜索
|
| 1159 |
+
</button>
|
| 1160 |
+
</div>
|
| 1161 |
+
</div>
|
| 1162 |
+
</section>
|
| 1163 |
+
|
| 1164 |
+
<!-- Stats Grid -->
|
| 1165 |
+
<div class="stats-grid">
|
| 1166 |
+
<div class="stat-card">
|
| 1167 |
+
<div class="stat-icon blue">
|
| 1168 |
+
<i class="fas fa-file-alt"></i>
|
| 1169 |
+
</div>
|
| 1170 |
+
<div class="stat-value">12,847</div>
|
| 1171 |
+
<div class="stat-label">论文总数</div>
|
| 1172 |
+
<div class="stat-trend up">
|
| 1173 |
+
<i class="fas fa-arrow-up"></i> 今日新增 156 篇
|
| 1174 |
+
</div>
|
| 1175 |
+
</div>
|
| 1176 |
+
<div class="stat-card">
|
| 1177 |
+
<div class="stat-icon cyan">
|
| 1178 |
+
<i class="fas fa-microscope"></i>
|
| 1179 |
+
</div>
|
| 1180 |
+
<div class="stat-value">3,429</div>
|
| 1181 |
+
<div class="stat-label">已解析论文</div>
|
| 1182 |
+
<div class="stat-trend up">
|
| 1183 |
+
<i class="fas fa-arrow-up"></i> 解析率 26.7%
|
| 1184 |
+
</div>
|
| 1185 |
+
</div>
|
| 1186 |
+
<div class="stat-card">
|
| 1187 |
+
<div class="stat-icon amber">
|
| 1188 |
+
<i class="fas fa-users"></i>
|
| 1189 |
+
</div>
|
| 1190 |
+
<div class="stat-value">8,542</div>
|
| 1191 |
+
<div class="stat-label">活跃研究者</div>
|
| 1192 |
+
<div class="stat-trend up">
|
| 1193 |
+
<i class="fas fa-arrow-up"></i> +12.3% 本月
|
| 1194 |
+
</div>
|
| 1195 |
+
</div>
|
| 1196 |
+
<div class="stat-card">
|
| 1197 |
+
<div class="stat-icon green">
|
| 1198 |
+
<i class="fas fa引用次数"></i>
|
| 1199 |
+
</div>
|
| 1200 |
+
<div class="stat-value">156,892</div>
|
| 1201 |
+
<div class="stat-label">总引用次数</div>
|
| 1202 |
+
<div class="stat-trend up">
|
| 1203 |
+
<i class="fas fa-arrow-up"></i> 同比增长 34.5%
|
| 1204 |
+
</div>
|
| 1205 |
+
</div>
|
| 1206 |
+
</div>
|
| 1207 |
+
|
| 1208 |
+
<!-- Paper List -->
|
| 1209 |
+
<section class="papers-section">
|
| 1210 |
+
<div class="section-header">
|
| 1211 |
+
<h2 class="section-title">
|
| 1212 |
+
<i class="fas fa-list" style="color: var(--primary-light);"></i>
|
| 1213 |
+
搜索结果
|
| 1214 |
+
<span style="font-size: 0.9rem; color: var(--text-secondary); font-weight: 400;">(显示 1-10 条,共 1,247 条)</span>
|
| 1215 |
+
</h2>
|
| 1216 |
+
<div class="view-toggle">
|
| 1217 |
+
<button class="view-btn active"><i class="fas fa-list"></i></button>
|
| 1218 |
+
<button class="view-btn"><i class="fas fa-th-large"></i></button>
|
| 1219 |
+
</div>
|
| 1220 |
+
</div>
|
| 1221 |
+
<div class="paper-list" id="paperList">
|
| 1222 |
+
<!-- Papers will be dynamically loaded -->
|
| 1223 |
+
</div>
|
| 1224 |
+
<div class="pagination">
|
| 1225 |
+
<button class="page-btn"><i class="fas fa-chevron-left"></i></button>
|
| 1226 |
+
<button class="page-btn active">1</button>
|
| 1227 |
+
<button class="page-btn">2</button>
|
| 1228 |
+
<button class="page-btn">3</button>
|
| 1229 |
+
<button class="page-btn">...</button>
|
| 1230 |
+
<button class="page-btn">125</button>
|
| 1231 |
+
<button class="page-btn"><i class="fas fa-chevron-right"></i></button>
|
| 1232 |
+
</div>
|
| 1233 |
+
</section>
|
| 1234 |
+
</main>
|
| 1235 |
+
</div>
|
| 1236 |
+
|
| 1237 |
+
<!-- Analysis Panel -->
|
| 1238 |
+
<div class="overlay" id="overlay" onclick="closeAnalysisPanel()"></div>
|
| 1239 |
+
<aside class="analysis-panel" id="analysisPanel">
|
| 1240 |
+
<div class="panel-header">
|
| 1241 |
+
<h3 class="panel-title"><i class="fas fa-chart-pie" style="color: var(--primary-light);"></i> 论文深度解析</h3>
|
| 1242 |
+
<button class="close-btn" onclick="closeAnalysisPanel()">
|
| 1243 |
+
<i class="fas fa-times"></i>
|
| 1244 |
+
</button>
|
| 1245 |
+
</div>
|
| 1246 |
+
<div class="panel-content" id="panelContent">
|
| 1247 |
+
<!-- Analysis content will be dynamically loaded -->
|
| 1248 |
+
</div>
|
| 1249 |
+
</aside>
|
| 1250 |
+
|
| 1251 |
+
<!-- Loading Overlay -->
|
| 1252 |
+
<div class="loading-overlay" id="loadingOverlay">
|
| 1253 |
+
<div class="loader">
|
| 1254 |
+
<div class="loader-spinner"></div>
|
| 1255 |
+
<div class="loader-text" id="loadingText">正在解析论文...</div>
|
| 1256 |
+
<div class="progress-bar">
|
| 1257 |
+
<div class="progress-fill"></div>
|
| 1258 |
+
</div>
|
| 1259 |
+
</div>
|
| 1260 |
+
</div>
|
| 1261 |
+
|
| 1262 |
+
<!-- Toast Container -->
|
| 1263 |
+
<div class="toast-container" id="toastContainer"></div>
|
| 1264 |
+
|
| 1265 |
+
<!-- Built with anycoder -->
|
| 1266 |
+
<div class="built-with">
|
| 1267 |
+
Built with <a href="https://huggingface.co/spaces/akhaliq/anycoder" target="_blank">anycoder</a>
|
| 1268 |
+
</div>
|
| 1269 |
+
|
| 1270 |
+
<script>
|
| 1271 |
+
// Sample Papers Data
|
| 1272 |
+
const samplePapers = [
|
| 1273 |
+
{
|
| 1274 |
+
id: 1,
|
| 1275 |
+
title: "Attention Is All You Need: Rethinking Transformer Architecture for Language Understanding",
|
| 1276 |
+
authors: ["Ashish Vaswani", "Noam Shazeer", "Niki Parmar", "Jakob Uszkoreit"],
|
| 1277 |
+
venue: "NeurIPS 2024",
|
| 1278 |
+
date: "2024-01-15",
|
| 1279 |
+
citations: 2847,
|
| 1280 |
+
abstract: "We propose a novel transformer architecture that eliminates the need for recurrence and convolution entirely. Our model relies solely on attention mechanisms, achieving state-of-the-art results on multiple NLP benchmarks while reducing training time by 40%.",
|
| 1281 |
+
tags: ["Transformer", "Attention", "NLP", "Deep Learning"],
|
| 1282 |
+
status: "hot",
|
| 1283 |
+
likes: 892,
|
| 1284 |
+
views: 12458
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
id: 2,
|
| 1288 |
+
title: "Vision Transformers in Medical Imaging: A Comprehensive Survey and Benchmark",
|
| 1289 |
+
authors: ["Xiaohong Liu", "Yiming Zhou", "Wei Liu", "et al."],
|
| 1290 |
+
venue: "Nature Machine Intelligence",
|
| 1291 |
+
date: "2024-01-12",
|
| 1292 |
+
citations: 567,
|
| 1293 |
+
abstract: "This paper presents a systematic survey and benchmark of Vision Transformer applications in medical imaging. We evaluate 15+ ViT variants across 8 medical imaging tasks, providing insights into their strengths and limitations.",
|
| 1294 |
+
tags: ["Vision Transformer", "Medical AI", "Computer Vision", "Survey"],
|
| 1295 |
+
status: "new",
|
| 1296 |
+
likes: 445,
|
| 1297 |
+
views: 6789
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
id: 3,
|
| 1301 |
+
title: "Self-Supervised Learning for Protein Structure Prediction with AlphaFold-3",
|
| 1302 |
+
authors: ["John Jumper", "Richard Evans", "Alexander Pritzel", "et al."],
|
| 1303 |
+
venue: "Science",
|
| 1304 |
+
date: "2024-01-10",
|
| 1305 |
+
citations: 1234,
|
| 1306 |
+
abstract: "We introduce AlphaFold-3, a revolutionary approach to protein structure prediction that leverages self-supervised learning to predict protein structures with unprecedented accuracy, including protein-ligand and protein-nucleic acid complexes.",
|
| 1307 |
+
tags: ["Protein Folding", "Self-Supervised", "Bioinformatics", "AlphaFold"],
|
| 1308 |
+
status: "hot",
|
| 1309 |
+
likes: 1203,
|
| 1310 |
+
views: 18923
|
| 1311 |
+
},
|
| 1312 |
+
{
|
| 1313 |
+
id: 4,
|
| 1314 |
+
title: "Large Multimodal Models: Bridging Vision and Language for Universal Understanding",
|
| 1315 |
+
authors: ["Bohan Li", "Hao Wu", "Jiahui Xu", "et al."],
|
| 1316 |
+
venue: "ICML 2024",
|
| 1317 |
+
date: "2024-01-08",
|
| 1318 |
+
citations: 789,
|
| 1319 |
+
abstract: "We present LLaVA-Med, a large multimodal model designed for biomedical applications. Our approach efficiently aligns visual and linguistic representations, achieving competitive performance on various biomedical VQA tasks.",
|
| 1320 |
+
tags: ["Multimodal", "LMM", "Vision-Language", "Biomedical"],
|
| 1321 |
+
status: "analyzing",
|
| 1322 |
+
likes: 567,
|
| 1323 |
+
views: 8934
|
| 1324 |
+
},
|
| 1325 |
+
{
|
| 1326 |
+
id: 5,
|
| 1327 |
+
title: "Efficient Fine-Tuning of Large Language Models: A Comprehensive Study",
|
| 1328 |
+
authors: ["Edward J. Hu", "Yelong Shen", "Pengwei Huang", "et al."],
|
| 1329 |
+
venue: "ACL 2024",
|
| 1330 |
+
date: "2024-01-05",
|
| 1331 |
+
citations: 456,
|
| 1332 |
+
abstract: "This comprehensive study investigates parameter-efficient fine-tuning methods for LLMs. We compare LoRA, Adapter, and Prefix-Tuning across multiple tasks, providing practical guidelines for practitioners.",
|
| 1333 |
+
tags: ["LLM Fine-tuning", "Parameter Efficiency", "NLP", "LoRA"],
|
| 1334 |
+
status: "new",
|
| 1335 |
+
likes: 334,
|
| 1336 |
+
views: 5678
|
| 1337 |
+
},
|
| 1338 |
+
{
|
| 1339 |
+
id: 6,
|
| 1340 |
+
title: "Reinforcement Learning in Robotics: From Simulation to Real-World Deployment",
|
| 1341 |
+
authors: ["Sergey Levine", "Pieter Abbeel", "John D. Schulman"],
|
| 1342 |
+
venue: "RSS 2024",
|
| 1343 |
+
date: "2024-01-03",
|
| 1344 |
+
citations: 678,
|
| 1345 |
+
abstract: "We address the sim-to-real gap in reinforcement learning for robotics. Our domain randomization and adaptation techniques enable seamless transfer of learned policies from simulation to physical robots.",
|
| 1346 |
+
tags: ["Reinforcement Learning", "Robotics", "Sim-to-Real", "Control"],
|
| 1347 |
+
status: "new",
|
| 1348 |
+
likes: 289,
|
| 1349 |
+
views: 4567
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
id: 7,
|
| 1353 |
+
title: "Federated Learning with Differential Privacy: Theory and Practice",
|
| 1354 |
+
authors: ["Peter Kairouz", "H. Brendan McMahan", "Brian Knott", "et al."],
|
| 1355 |
+
venue: "IEEE S&P 2024",
|
| 1356 |
+
date: "2024-01-01",
|
| 1357 |
+
citations: 892,
|
| 1358 |
+
abstract: "This paper provides a rigorous analysis of differential privacy in federated learning settings. We derive tight privacy guarantees and propose efficient algorithms that achieve optimal utility-privacy trade-off.",
|
| 1359 |
+
tags: ["Federated Learning", "Differential Privacy", "Security", "ML"],
|
| 1360 |
+
status: "new",
|
| 1361 |
+
likes: 412,
|
| 1362 |
+
views: 6789
|
| 1363 |
+
},
|
| 1364 |
+
{
|
| 1365 |
+
id: 8,
|
| 1366 |
+
title: "Neural Architecture Search for Efficient Edge Computing",
|
| 1367 |
+
authors: ["Hanxiao Liu", "Karen Simonyan", "Yiming Yang", "Chris Dyer"],
|
| 1368 |
+
venue: "CVPR 2024",
|
| 1369 |
+
date: "2023-12-28",
|
| 1370 |
+
citations: 345,
|
| 1371 |
+
abstract: "We introduce EfficientNet-NAS, a family of neural networks optimized for edge devices. Our search method achieves 2-4x better efficiency compared to existing mobile-friendly architectures.",
|
| 1372 |
+
tags: ["Neural Architecture Search", "Edge AI", "Efficient Networks", "Mobile"],
|
| 1373 |
+
status: "new",
|
| 1374 |
+
likes: 267,
|
| 1375 |
+
views: 3456
|
| 1376 |
+
}
|
| 1377 |
+
];
|
| 1378 |
+
|
| 1379 |
+
// Initialize
|
| 1380 |
+
document.addEventListener('DOMContentLoaded', function() {
|
| 1381 |
+
renderPapers(samplePapers);
|
| 1382 |
+
setupFilterChips();
|
| 1383 |
+
setupSearch();
|
| 1384 |
+
});
|
| 1385 |
+
|
| 1386 |
+
// Render Papers
|
| 1387 |
+
function renderPapers(papers) {
|
| 1388 |
+
const paperList = document.getElementById('paperList');
|
| 1389 |
+
paperList.innerHTML = papers.map(paper => `
|
| 1390 |
+
<div class="paper-card" onclick="openAnalysisPanel(${paper.id})">
|
| 1391 |
+
<div class="paper-header">
|
| 1392 |
+
<h3 class="paper-title">${highlightKeywords(paper.title)}</h3>
|
| 1393 |
+
<span class="paper-status status-${paper.status}">
|
| 1394 |
+
${getStatusLabel(paper.status)}
|
| 1395 |
+
</span>
|
| 1396 |
+
</div>
|
| 1397 |
+
<div class="paper-meta">
|
| 1398 |
+
<span class="paper-meta-item">
|
| 1399 |
+
<i class="fas fa-user"></i> ${paper.authors.slice(0, 3).join(', ')}${paper.authors.length > 3 ? ' et al.' : ''}
|
| 1400 |
+
</span>
|
| 1401 |
+
<span class="paper-meta-item">
|
| 1402 |
+
<i class="fas fa-map-marker-alt"></i> ${paper.venue}
|
| 1403 |
+
</span>
|
| 1404 |
+
<span class="paper-meta-item">
|
| 1405 |
+
<i class="fas fa-calendar"></i> ${formatDate(paper.date)}
|
| 1406 |
+
</span>
|
| 1407 |
+
<span class="paper-meta-item">
|
| 1408 |
+
<i class="fas fa引用次数"></i> ${formatNumber(paper.citations
|