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<!DOCTYPE html>
<!--
Vendored + adapted into posterly from ARIS (Auto-claude-code-research-in-sleep),
skill paper-poster-html. Origin: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep
Upstream tokenization: MIT (c) 2026 wanshuiyin -- ../LICENSES/aris-MIT.txt
This is the tokenized form of posterly's own neutral template; the class names and
content are posterly's own (c) 2026 Ruishuo Chen. As an adapted derivative this file
ships as part of posterly under AGPL-3.0. See ../NOTICE.md.
-->
<!--
============================================================
TEMPLATE: landscape_4col (ARIS fork)
CANVAS: 60in × 36in landscape (ICML / NeurIPS / generic landscape)
LAYOUT: header → optional banner → 4 body columns → optional takeaways → footer
USE WHEN: standard ML conference poster with 3-5 content cards per column,
mix of figures + equations + small tables.
HOW TO USE:
1. Copy this file to your working directory as `poster.html`.
2. Edit the DESIGN TOKENS in `:root` to your lab/venue colors.
3. Replace TODO content placeholders (search for "TODO").
4. Run `python tools/run_gates.py poster.html --tokens design_tokens.json` (the default driver: preflight -> style -> measure -> polish; design_tokens.json is the design-direction pack written at lock time -- SKILL.md Step 2.5) to align columns and check style/structure.
5. Run `python tools/render_preview.py poster.html` to produce the PDF.
NOTE: as shipped, this scaffold passes `preflight` (structure) but is
EXPECTED to FAIL `measure`/`polish` -- figures are commented out and copy
is TODO stubs, so columns only fill the top of the canvas. Those two gates
judge a FILLED poster; balance them once you've added real content. See
templates/README.md ("Scaffolds, not finished posters").
MEASURE ROLES: every layout-critical element carries `data-measure-role`.
Generic measurement scripts depend on these — do not remove.
CANVAS RETARGETING: to print at another size, change the canvas in exactly
TWO places that must stay in sync -- the `@page { size: ... }` rule and the
`.poster { width/height }` (also the `@media print .poster { width/height }`).
Example: ICLR 2026 main conference uses 185cm 90cm landscape (official print
service spec) -- set @page to `185cm 90cm`, width to `1850 * var(--u)` and
height to `900 * var(--u)` (and the print-override .poster to `185cm`/`90cm`).
Adapted from posterly (MIT, © 2026 Ruishuo Chen) — see LICENSES/ & NOTICE.md;
ARIS modifications: flat de-gradient, --fs token scale, zero-inline-style
utilities, data-source/data-color-exempt contracts.
============================================================
-->
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="generator" content="posterly">
<title>Flatness-Aware SGLD — Reproduction — ICML 2026</title>
<!-- MathJax v3 for inline equations. CDN by default when the file is
opened by hand; the posterly check tools (measure/polish/pack/…)
intercept this request and serve the skill's bundled copy
(assets/mathjax/tex-svg.js, MathJax 3.2.2), so gates render math
deterministically even offline. To make a hand-opened poster
offline too, copy that bundle next to the poster and point the
<script> `src` at it. -->
<script>
window.MathJax = {
tex: {
inlineMath: [['$', '$'], ['\\(', '\\)']],
displayMath: [['$$', '$$'], ['\\[', '\\]']],
packages: {'[+]': ['ams']}
},
svg: { fontCache: 'global' }
};
</script>
<script id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-svg.js"></script>
<style>
/* =========================================================
CANVAS — 60" × 36" landscape
========================================================= */
@page { size: 60in 36in; margin: 0; }
:root {
/* ===== DESIGN TOKENS ===== */
/* Primary accent (header underline, card-highlight bar, section nums, .keyword) */
--accent: #2D5F8B;
--accent-deep: #1F4566;
--accent-light: #E8F1F8;
--accent-soft: #D7E5F0;
--accent-ink: #FFFFFF; /* ink ON the accent (chips, callout, thead) */
/* Emphasis register for "ours / best" (table .ours row, "★" callouts).
Default is the warm gold; a redesign may choose any register that
keeps 4.5:1 with --emph-ink (see templates/THEMES.md Mechanism 1). */
--emph: #C9A24A;
--emph-soft: #FFF7E0;
--emph-ink: #14314A; /* ink ON the emphasis fill. NOT var(--accent-deep):
#1F4566 on the default gold measures 4.16:1 (< AA);
#14314A measures 5.58:1 (>= 4.5:1). */
/* Text */
--text-primary: #1A1A1A;
--text-secondary: #555555;
--text-muted: #888888;
/* Backgrounds */
--bg-page: #F6F2F0;
--bg-card: #FFFFFF;
--bg-card-tint: #FAFAFB;
--bg-emphasis: var(--accent-light);
/* Borders */
--border-soft: #D8D8D8;
--border-strong: var(--accent);
/* Screen-only dark mat behind the poster (the off-canvas viewport
background). Print resets html/body to white, so this never reaches
paper; kept as a token so no color literal lives outside this block. */
--bg-viewport: #2B2B2B;
/* Base unit. Print: 1mm; screen preview: 1.6px (~3.78px = 1mm at 96dpi). */
--u: 1.6px;
/* Font-size scale (9 archetypes). Every `font-size` in this template
references one of these. `calc(var(--fs-N) * k)` is permitted ONLY for
a COMPONENTS.md-defined variant (e.g. `.eqn--large`). */
--fs-1: calc(9 * var(--u)); /* micro label */
--fs-2: calc(10 * var(--u)); /* small caption */
--fs-3: calc(11 * var(--u)); /* caption / table */
--fs-4: calc(12 * var(--u)); /* body text */
--fs-5: calc(13 * var(--u)); /* equation / emphasis */
--fs-6: calc(15 * var(--u)); /* subtitle */
--fs-7: calc(16 * var(--u)); /* section title */
--fs-8: calc(22 * var(--u)); /* banner number */
--fs-9: calc(32 * var(--u)); /* main title */
/* Fonts. Override at :root if your venue mandates a specific family. */
--font-serif: "Charter", "Source Serif Pro", "Georgia", serif;
--font-sans: "Inter", "Helvetica Neue", sans-serif;
/* Shadows & watermark ink — tokenized so rules 1/3 stay literal-free
(the faint radial page tint is the ONE allowed literal outside this
block; rule 5 validates it WHEN ENABLED -- the style gate ships with rules 4-5 off). */
--shadow-screen: 0 0 60px rgba(0, 0, 0, 0.5);
--shadow-card: 0 calc(2 * var(--u)) calc(6 * var(--u)) rgba(45, 95, 139, 0.05);
--ornament-ink: rgba(45, 95, 139, 0.06);
/* Identity mark ink — the corner-signature ⊕ adopts the LOCAL accent so it
reads native (the woven-signature instead inherits its host's ink). The
glyph GEOMETRY, not the hue, is the posterly signature. Re-theme with the
palette like any other token. */
--ps-mark-ink: var(--accent-deep);
/* Corner-radius scale. Every border-radius calc() multiplies by this;
1 = the shipped soft look, 0 = square/flat (see templates/THEMES.md). */
--rs: 1;
/* Figure mount: the ground behind paper figures (transparent PNGs sit on
it) and the keyline around them (.figure img / .ff-fig img). Re-theme
with the Axis 6 frame decision so figures sit mounted in the design
instead of pasted on it; --fig-frame: transparent = frameless mount.
QR backgrounds stay literal white -- that's scannability, not styling. */
--fig-bg: white;
--fig-frame: var(--border-soft);
/* ===== END DESIGN TOKENS ===== */
}
/* =========================================================
RESET + BASE
========================================================= */
* { box-sizing: border-box; margin: 0; padding: 0; }
/* =========================================================
BASE DEFENSES -- wrap & ink safety. KEEP this block in ANY
skeleton, including a fully custom one (copy it over and
EXTEND the selector lists with your own prose/display
classes -- a hand-rolled skeleton that drops it strands
single-word widows and ragged titles; polish warns as
TEXT-WRAP).
- pretty: fills each line, protects the last-line orphan
(single-word widow). Safe on all prose.
- balance: evens CENTERED display text only -- never pair
it with left-aligned multi-sentence prose (SKILL.md wrap
rules).
- Any inline class you add that paints a background (a
.mark highlight, a keyword chip) must declare its own
`color` (Gate G -- never inherit ink across a ground
change) plus `box-decoration-break: clone;
-webkit-box-decoration-break: clone;` so a wrapped
highlight keeps its padding on both fragments (then it
never needs &nbsp;-gluing to hold one line).
========================================================= */
p, li, dd, figcaption,
.body-text, .caption, .callout, .section-title { text-wrap: pretty; }
.title { text-wrap: balance; }
/* Case-safety: lowercase Greek under text-transform:uppercase paints
as its capital (α -> Α, a Latin-A lookalike -- "SHARPEN α>1" prints
as "SHARPEN A>1"). Wrap the symbol: <span class="tt-none">α</span>.
polish flags misses as SYMBOL-CASE. */
.tt-none { text-transform: none; }
html, body {
background: var(--bg-viewport);
font-family: var(--font-serif);
color: var(--text-primary);
-webkit-font-smoothing: antialiased;
}
/* =========================================================
UTILITY CLASSES — replace inline `style=` in the body markup.
The template (and any finished poster) must carry ZERO `style=`
attributes. Use these classes instead. Two documented exceptions
exist ONLY as examples and may appear in comments, never live:
- a logo/seal SVG flagged data-color-exempt="logo"
- a paper figure `<img ... data-source="paper" style="width: NN%">`
(AR width tweak; prefer the .w-NN classes below where possible)
========================================================= */
/* Poster container — exact print dimensions; data-measure-role="poster" so poster_check.py
can verify the canvas size. */
.poster {
width: calc(1524 * var(--u));
height: calc(914 * var(--u));
background: var(--bg-page);
/* Page tint kept (radial only, all color stops alpha <= 0.06 per the
de-gradient policy: linear-gradient is banned, this low-alpha radial
wash is the single allowed exception). */
background-image:
radial-gradient(ellipse at top left, rgba(45, 95, 139, 0.06), transparent 40%),
radial-gradient(ellipse at bottom right, rgba(201, 162, 74, 0.05), transparent 50%);
margin: 20px auto;
padding: calc(10 * var(--u)) calc(14 * var(--u));
display: grid;
grid-template-columns: minmax(0, 1fr); /* column-axis twin of the minmax(0,1fr) body-row defense: without it the implicit `auto` column grows to a wide child's max-content and a full-width row overflows the canvas (measure's canvas-overflow gate). Keep on any custom skeleton. */
grid-template-rows: auto auto minmax(0, 1fr) auto auto; /* header | banner | body | takeaways | footer. minmax(0,1fr) (not bare 1fr): an over-tall body compresses instead of pushing takeaways/footer off-canvas */
gap: calc(6 * var(--u));
box-shadow: var(--shadow-screen);
position: relative;
overflow: hidden;
}
/* Decorative top bar — flat solid accent (de-gradient). */
.poster::before {
content: "";
position: absolute; top: 0; left: 0; right: 0;
height: calc(8 * var(--u));
background: var(--accent);
}
/* =========================================================
HEADER
========================================================= */
.header {
display: grid;
grid-template-columns: 1fr minmax(50%, auto) 1fr; /* equal side tracks (1fr) -> the title track is centred on the poster, not just between the side blocks; the centre track is floored at 50% so a one-line title still fills it (else a short title measures narrow and trips a false HEADER/TITLE-SQUEEZED). Best-effort: a side block wide enough to clamp its 1fr track can still pull the title off-centre. */
align-items: center;
gap: calc(16 * var(--u));
padding: calc(2 * var(--u)) calc(4 * var(--u)) calc(5 * var(--u));
border-bottom: calc(2 * var(--u)) solid var(--accent);
}
.venue-badge {
justify-self: start; /* anchor to the far-left edge so the centre track stays centred */
display: flex; flex-direction: column;
align-items: center; justify-content: center;
min-width: calc(95 * var(--u));
text-align: center;
border-right: calc(1 * var(--u)) solid var(--border-soft);
padding-right: calc(12 * var(--u));
}
.venue-badge .vb-venue {
font-family: var(--font-sans);
font-weight: 800;
font-size: var(--fs-9);
color: var(--accent-deep);
line-height: 1;
letter-spacing: -0.5px;
}
.venue-badge .vb-year {
font-family: var(--font-sans);
font-size: var(--fs-5);
color: var(--text-secondary);
margin-top: calc(3 * var(--u));
letter-spacing: 1.2px;
}
.venue-badge .vb-tag {
font-family: var(--font-sans);
font-size: var(--fs-2);
color: var(--accent);
font-weight: 700;
margin-top: calc(2 * var(--u));
letter-spacing: 1.2px;
}
.title-block { text-align: center; min-width: 0; }
.title {
font-family: var(--font-sans);
font-weight: 800;
font-size: var(--fs-9);
line-height: 1.05;
color: var(--accent-deep);
letter-spacing: -0.5px;
}
.title .accent { color: var(--emph); }
.subtitle {
font-family: var(--font-sans);
font-weight: 500;
font-size: var(--fs-6);
color: var(--text-secondary);
margin-top: calc(2 * var(--u));
font-style: italic;
}
.authors-line {
font-family: var(--font-sans);
font-size: var(--fs-4);
color: var(--accent);
font-weight: 600;
margin-top: calc(3 * var(--u));
}
.authors-line .author { margin: 0 calc(4 * var(--u)); }
.authors-line sup { font-size: 0.7em; color: var(--accent); }
.authors-line .aff {
color: var(--text-secondary);
font-weight: 400;
display: block;
margin-top: calc(2 * var(--u));
font-size: var(--fs-4);
}
.right-block {
justify-self: end; /* keep logo+QR in the far-right corner */
display: flex; align-items: center;
gap: calc(10 * var(--u));
}
.qr-block { display: flex; flex-direction: column; align-items: center; gap: calc(2 * var(--u)); }
.qr-block img {
width: calc(85 * var(--u));
height: calc(85 * var(--u));
border: calc(2 * var(--u)) solid var(--accent);
border-radius: calc(4 * var(--u) * var(--rs));
background: white;
padding: calc(2 * var(--u));
}
.qr-label {
font-family: var(--font-sans);
font-size: var(--fs-3);
color: var(--accent);
font-weight: 600;
}
/* Optional logo slot — drop your lab logo here. Keep its rendered height
close to the QR (~85u) so the header doesn't grow disproportionately.
A raster logo needs no exemption. An inline-SVG logo with brand colors
must carry data-color-exempt="logo" so style_check skips its fills, e.g.:
<svg data-color-exempt="logo" ...> ... </svg> */
.logo-slot img { height: calc(85 * var(--u)); width: auto; max-width: calc(360 * var(--u)); object-fit: contain; display: block; }
/* Logo size classes on .logo-slot -- pick from the file's aspect ratio (SKILL.md Gate E).
tall/square sit at the QR-matched slot height; wide is intentionally shorter (~68% of the
QR) and width-capped so a long wordmark doesn't out-mass the title. Do NOT combine these
with logo-stack (that row is width-normalized, below). */
.logo-slot.logo-tall img,
.logo-slot.logo-square img { height: calc(85 * var(--u)); }
.logo-slot.logo-wide img { height: calc(58 * var(--u)); max-width: calc(300 * var(--u)); }
/* Logo chip: a solid backing that keeps a transparent / edge-white logo legible on a
colored/dark header (white chip) or a light header (.logo-chip-dark); the padding + radius
fold a stray white box into a deliberate rounded tile (SKILL.md Gate E, Background). */
.logo-chip {
display: inline-flex; align-items: center; justify-content: center;
background: var(--bg-card); border-radius: calc(3 * var(--u) * var(--rs));
padding: calc(3 * var(--u)) calc(5 * var(--u));
}
.logo-chip.logo-chip-dark { background: var(--text-primary); }
/* logo-row: institution logos in the header right block (REAL logos the
user provided — never fabricate a seal). Each img MUST carry
data-color-exempt="logo"; height pairs with the QR. */
.logo-row { display: flex; align-items: center; gap: calc(5 * var(--u)); }
.logo-row img { height: calc(68 * var(--u)); width: auto; display: block; }
/* --boxed variant: each logo in a labeled tile (logo + institution name) —
more presence at poster distance; white tile + soft border, no new hues. */
.logo-row .lr-item {
display: flex; flex-direction: column; align-items: center;
gap: calc(2 * var(--u));
background: var(--bg-card);
border: 1px solid var(--border-soft);
border-radius: calc(3 * var(--u) * var(--rs));
padding: calc(4 * var(--u)) calc(6 * var(--u));
}
.logo-row .lr-item img { height: calc(58 * var(--u)); }
.logo-row .lr-label {
font-family: var(--font-sans); font-weight: 600; font-size: var(--fs-1);
color: var(--text-secondary); text-align: center; line-height: 1.15;
}
/* logo-stack variant: WIDE WORDMARKS (AR >= ~2) normalized to EQUAL WIDTH
and stacked vertically, left-aligned. Use when two wide wordmarks of
different aspect ratio read unbalanced height-matched in a row (equal
width lets the less-wide mark grow taller and aligns a clean block).
NOT for a square seal or tall mark (equal width blows it up — keep those
height-matched). Do NOT also apply the logo-wide/tall/square classes. */
.logo-row.logo-stack { flex-direction: column; align-items: flex-start; gap: calc(8 * var(--u)); }
.logo-row.logo-stack img { width: calc(170 * var(--u)); height: auto; }
/* venue badge may carry the official venue logo above its text line */
.venue-badge img { height: calc(62 * var(--u)); width: auto; display: block; margin: 0 auto calc(2 * var(--u)); }
.venue-badge .vb-title { font-family: var(--font-sans); font-weight: 800; font-size: var(--fs-5); color: var(--accent-deep); letter-spacing: 0.5px; }
/* =========================================================
OPTIONAL FRAMEWORK BANNER (delete this whole section if you don't need it)
========================================================= */
.framework-banner {
display: flex;
align-items: center;
gap: calc(16 * var(--u));
/* Flat solid emphasis fill (de-gradient). */
background: var(--bg-emphasis);
border: calc(1 * var(--u)) solid var(--border-soft);
border-left: calc(6 * var(--u)) solid var(--accent);
border-radius: calc(6 * var(--u) * var(--rs));
padding: calc(6 * var(--u)) calc(14 * var(--u));
}
.framework-banner img { height: calc(120 * var(--u)); width: auto; display: block; }
.framework-banner .banner-stats {
flex: 1;
display: grid;
grid-template-columns: 1fr 1fr;
gap: calc(6 * var(--u));
}
.framework-banner .bs-item {
background: white;
border: calc(1 * var(--u)) solid var(--border-soft);
border-left: calc(3 * var(--u)) solid var(--accent);
border-radius: calc(3 * var(--u) * var(--rs));
padding: calc(2 * var(--u)) calc(8 * var(--u));
text-align: center;
}
.framework-banner .bs-num {
font-family: var(--font-sans);
font-weight: 800;
font-size: var(--fs-8);
color: var(--accent);
line-height: 1;
}
.framework-banner .bs-label {
font-family: var(--font-sans);
font-size: var(--fs-3);
color: var(--text-secondary);
margin-top: calc(2 * var(--u));
line-height: 1.2;
}
.framework-banner .fb-text {
flex: 1.6;
font-family: var(--font-serif);
font-size: var(--fs-6);
line-height: 1.5;
text-wrap: pretty; /* prose: fill each line, protect last-line orphan. NOT balance — on multi-sentence prose balance shortens+hyphenates line 1 (crammed-left, gap-right). */
text-align: center;
}
.framework-banner .fb-text strong { color: var(--accent-deep); }
.framework-banner .fb-label {
display: inline-block;
background: var(--accent);
color: var(--accent-ink);
font-family: var(--font-sans);
font-size: var(--fs-5);
font-weight: 700;
padding: calc(2 * var(--u)) calc(8 * var(--u));
border-radius: calc(4 * var(--u) * var(--rs));
text-transform: uppercase;
letter-spacing: 1px;
vertical-align: middle;
line-height: 1;
position: relative;
top: calc(-1 * var(--u));
}
/* Method-overview figure for the banner (banner-figure component,
catalogued in COMPONENTS.md). Usually CAPTIONLESS -- the banner text
block beside it is the figure's explanation. width:min-content collapses
the slot to the IMAGE (a captionless figure's slot IS the image); if a
short caption is used it wraps at the image box and can NEVER set the
flex-item width; margin-inline centres a block image (text-align does
not); overflow-wrap guards a long unbreakable token. Do NOT hand-roll a
.fb-fig wrapper or a bare <img class="w-100"> here. */
.framework-banner .banner-figure {
flex: 0 0 auto;
width: min-content;
margin: 0;
text-align: center;
}
.framework-banner .banner-figure img {
height: calc(120 * var(--u));
width: auto;
display: block;
margin-inline: auto;
}
.framework-banner .banner-figure figcaption {
width: 100%;
margin-top: calc(2 * var(--u));
font-family: var(--font-sans);
font-size: var(--fs-2);
line-height: 1.2;
color: var(--text-secondary);
text-align: center;
text-wrap: pretty;
overflow-wrap: anywhere;
}
.framework-banner .banner-figure figcaption strong { color: var(--accent-deep); }
/* =========================================================
BODY: 4 columns, variable-width hint via fr values
========================================================= */
.body-grid {
display: grid;
grid-template-columns: 1fr 1.05fr 1.05fr 1fr;
gap: calc(10 * var(--u));
/* No overflow:hidden here — it would clip card shadows (pitfall #7).
.poster already clips at the page boundary; min-height:0 is the
grid-blowout guard. */
min-height: 0;
}
.column {
display: flex; flex-direction: column;
gap: calc(6 * var(--u));
min-height: 0;
height: 100%;
padding-bottom: calc(4 * var(--u)); /* shadow breathing room above takeaways */
}
/* =========================================================
CARDS
========================================================= */
.card {
background: var(--bg-card);
border-radius: calc(5 * var(--u) * var(--rs));
padding: calc(4 * var(--u)) calc(9 * var(--u));
border: calc(1 * var(--u)) solid var(--border-soft);
box-shadow: var(--shadow-card);
position: relative;
}
.card.tinted { background: var(--bg-card-tint); }
.card.card--compact { padding: calc(3 * var(--u)) calc(6 * var(--u)); } /* predefined variant: tighter padding (fix (f)) */
.card.highlight {
border-left: calc(6 * var(--u)) solid var(--accent);
/* Flat emphasis tint (de-gradient). */
background: var(--bg-emphasis);
}
.section-title {
font-family: var(--font-sans);
font-weight: 700;
font-size: var(--fs-7);
color: var(--accent-deep);
margin-bottom: calc(3 * var(--u));
display: flex; align-items: center;
gap: calc(5 * var(--u));
}
/* Title text + any ★ marker share ONE .st-text span, so the heading wraps as
natural text (hanging indent) instead of flex-wrapping atomic items: the
number badge is never stranded on its own line and the ★ never widows. */
.section-title .st-text { flex: 1; min-width: 0; line-height: 1.18; }
/* Graceful fallback if a title is NOT wrapped in .st-text: float the badge so
bare inline text still wraps beside it rather than dropping below it. */
.section-title:not(:has(.st-text)) { display: block; line-height: 1.18; }
.section-title:not(:has(.st-text)) .num { float: left; margin-right: calc(5 * var(--u)); }
.section-title .num {
display: inline-flex; align-items: center; justify-content: center;
width: calc(22 * var(--u)); height: calc(22 * var(--u));
background: var(--accent); color: var(--accent-ink);
border-radius: 50%;
font-size: var(--fs-5); font-weight: 700;
flex-shrink: 0;
}
/* Inline "★ KEY" / "★ Headline" marker beside a section title. */
.section-title .key-mark { color: var(--emph); font-size: var(--fs-3); }
.body-text, .card p, .card li {
font-family: var(--font-serif);
font-size: var(--fs-4);
line-height: 1.3;
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/* =========================================================
PRINT OVERRIDE — KEEP LAST so it wins source-order ties.
========================================================= */
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</style>
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data-posterly-contract="identity-v1" data-ps-identity="on">
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<!-- =========================== HEADER =========================== -->
<header class="header" data-measure-role="header">
<!-- LEFT: venue badge. -->
<div class="venue-badge">
<div class="vb-venue">ICML</div>
<div class="vb-year">2026</div>
<div class="vb-tag">REPRODUCTION</div>
</div>
<!-- CENTER: title block -->
<div class="title-block">
<h1 class="title">Flatness-Aware SGLD: <span class="accent">Reproduction</span></h1>
<div class="subtitle">Theory verified to machine precision; the per-step efficiency claim reproduces; the large-scale accuracy &amp; flatness gains are not visible at CPU-affordable reduced scale.</div>
<div class="authors-line">
<span class="author">Independent reproduction agent (Claude Code)</span> &middot;
<span class="author">ICML 2026 Reproducibility Challenge</span>
<span class="aff">Paper: arXiv 2510.02174 &middot; OpenReview Kw0nhxeTeI &middot; CPU-only (numpy + Modal 32-core)</span>
</div>
</div>
<!-- RIGHT: QR to the published logbook. -->
<div class="right-block">
<div class="qr-block">
<img data-color-exempt="logo" src="qr.png" alt="QR code linking to the published Trackio reproduction logbook">
<div class="qr-label">Full logbook</div>
</div>
</div>
</header>
<!-- ===================== OPTIONAL FRAMEWORK BANNER =====================
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<div class="fb-text">
<span class="fb-label">CLAIM SCORECARD</span>
&nbsp;<strong>fSGLD</strong> = SGLD on the smoothing surrogate $g_\sigma$; the coupling $\sigma=\beta^{-(1+\eta)/4}$ makes its invariant measure target the Hessian-trace regularized Gibbs law, biasing toward flat minima at one gradient per step. We audit all three theorems exactly, and run all three experiments at the largest reduced scale the CPU-only budget allows, reporting each verdict on its own claim page.
</div>
<div class="banner-stats">
<div class="bs-item"><div class="bs-num">3/3</div><div class="bs-label">theorems<br>verified</div></div>
<div class="bs-item"><div class="bs-num">1.92&times;</div><div class="bs-label">SAM cost<br>vs fSGLD ✓</div></div>
<div class="bs-item"><div class="bs-num">4.00</div><div class="bs-label">O(σ⁴) slope<br>(machine prec.)</div></div>
<div class="bs-item"><div class="bs-num">CPU</div><div class="bs-label">no GPU<br>6s + 4.5h</div></div>
</div>
</section>
<!-- ============================ BODY ============================ -->
<div class="body-grid" data-measure-role="body">
<!-- ============ COLUMN 1 ============ -->
<div class="column" data-measure-role="column">
<div class="card highlight" data-measure-role="card" data-logbook-target="executive-summary">
<div class="section-title"><span class="num">1</span><span class="st-text">What was reproduced</span></div>
<p class="body-text">
<span class="keyword">fSGLD</span> runs SGLD on the randomized-smoothing surrogate $g_\sigma(\theta)=\mathbb{E}_\varepsilon[u(\theta+\varepsilon)]$. Since $g_\sigma = u + \tfrac{\sigma^2}{2}\,\mathrm{tr}\,H + O(\sigma^4)$, its invariant measure targets the <span class="keyword">Hessian-trace regularized</span> Gibbs law, biasing toward flat minima at one gradient per step.
</p>
<table class="result-table">
<thead><tr><th class="method">Claim</th><th>Kind</th><th>Verdict</th></tr></thead>
<tbody>
<tr class="ours"><td class="method">1 · 2 · 3</td><td>theory</td><td class="best">verified</td></tr>
<tr><td class="method">4</td><td>expt</td><td>efficiency ✓ / acc ✗</td></tr>
<tr class="reference"><td class="method">5</td><td>expt</td><td>verified (reduced)</td></tr>
<tr><td class="method">6</td><td>expt</td><td>not repro (reduced)</td></tr>
</tbody>
</table>
<div class="callout mt-4">
Theory verifies to machine precision and the efficiency claim reproduces, but the large-scale accuracy and flatness gains do not appear at CPU-affordable scale.
</div>
</div>
<div class="card" data-measure-role="card" data-logbook-target="claim-1-coupling-invariant-measure-converges-in-kl-and-w2-to-the-hessian-trace-target-prop-3-1-true-prop-3-4">
<div class="section-title"><span class="num">2</span><span class="st-text">Claim 1 — coupling ⇒ target</span></div>
<p class="body-text">
<strong>Prop 3.4</strong> (claim mislabels "3.1"): under $\sigma=\beta^{-(1+\eta)/4}$, $W_2(\pi^{\mathrm{fSGLD}}_\beta,\pi^\star_{\beta,\sigma})\!\to\!0$. The surrogate residual $g_\sigma-v$ is <span class="keyword">exactly $3\sigma^4$</span>.
</p>
<div class="eqn">
<span class="label">Remainder scaling (Part A)</span>
$$\text{slope}\,\log|g_\sigma\!-\!v|\,/\log\sigma = 4.0000$$
</div>
<ul class="fs-4">
<li>Coupling kills remainder: $\beta\!\cdot\!\mathbb{E}[R]\sim\beta^{-\eta}$, slope $=-0.1000=-\eta$.</li>
<li>KL/$W_2$ shrink at large $\beta$; flatness bias directional.</li>
</ul>
<table class="result-table">
<thead><tr><th class="method">Check</th><th>Predicted</th><th>Measured</th></tr></thead>
<tbody>
<tr class="ours"><td class="method">D1a slope</td><td>4</td><td class="best">4.0000</td></tr>
<tr class="ours"><td class="method">D1b slope</td><td>−η = −0.1</td><td class="best">−0.1000</td></tr>
<tr><td class="method">KL log-slope</td><td>&lt; 0</td><td>−0.165</td></tr>
<tr class="reference"><td class="method">flat-basin mass</td><td>π⋆ &gt; e^(−βu)</td><td>4e-9 ≫ 2e-13</td></tr>
</tbody>
</table>
</div>
</div>
<!-- ============ COLUMN 2 ============ -->
<div class="column" data-measure-role="column">
<div class="card" data-measure-role="card" data-logbook-target="claim-2-non-asymptotic-w1-bound-and-o-1-4-w2-rate-for-fsgld-thm-3-2-cor-3-3-true-thm-3-5-cor-d-16">
<div class="section-title"><span class="num">3</span><span class="st-text">Claim 2 — discretization rates</span></div>
<p class="body-text"><strong>Thm 3.5 / Cor D.16</strong> (claim mislabels "3.2/3.3"): $W_1$ discretization is $O(\lambda^{1/2})$, $W_2$ is $O(\lambda^{1/4})$, above an invariant-measure floor $D$.</p>
<div class="eqn">
<span class="label">Fitted exponents, Part C</span>
$$p_{W_1}=2.18\;(\geq 0.40),\quad q_{W_2}=3.46\;(\geq 0.20)$$
</div>
<p class="body-text fs-4">Measured error decays within the $O(\sqrt\lambda)$ / $O(\lambda^{1/4})$ envelopes; the $k$-sweep shows the predicted exponential-in-$k$ mixing saturating at floor $D$.</p>
<table class="result-table">
<thead><tr><th class="method">λ</th><th>W₁</th><th>W₂</th></tr></thead>
<tbody>
<tr><td class="method">0.001</td><td>0.0036</td><td>0.0042</td></tr>
<tr><td class="method">0.008</td><td>0.0227</td><td>0.0278</td></tr>
<tr><td class="method">0.032</td><td>0.1648</td><td>0.3301</td></tr>
</tbody>
</table>
<p class="body-text fs-3">The $k$-sweep W₁ falls 20k→0.049, 100k→0.026, 500k→0.024, then holds at floors W₁ 0.0165, W₂ 0.0507.</p>
</div>
<div class="card highlight" data-measure-role="card" data-logbook-target="claim-3-excess-risk-bounds-for-the-hessian-trace-objective-toward-flat-minima-thm-3-5-true-thm-3-8">
<div class="section-title"><span class="num">4</span><span class="st-text">Claim 3 — excess risk</span></div>
<p class="body-text"><strong>Thm 3.8</strong> (claim mislabels "3.5"): $\mathbb{E}[v(\theta_k)]-\inf v \leq D_1 e^{-\dot c\lambda k/4}+D_2\lambda^{1/4}+D_3$.</p>
<div class="eqn eqn--large">
<span class="label">Floor-subtracted rate</span>
$$r_{\text{excess}}=9.97\;\;(\geq 0.20),\;\text{decreasing}$$
</div>
<div class="callout emph">
<strong>Reading.</strong> $v=u+\tfrac{\sigma^2}{2}\mathrm{tr}\,H$ penalizes curvature, so minimizing $v$ = converging toward <em>flat</em> minima. Excess risk sits at a finite-$\beta$ floor, exactly as Thm 3.8 predicts.
</div>
<p class="body-text fs-3 mt-2">$\mathbb{E}[v(\theta_k)]-\inf v$ across λ: 0.317, 0.316, 0.314, 0.308, 0.306, 0.323 — floor $D_3 \approx 0.312$. The λ-dependent part is small and in-envelope; the finite-β floor dominates — exactly as expected, since the paper stresses fSGLD operates at finite β and is not an annealing scheme.</p>
</div>
</div>
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<div class="column" data-measure-role="column">
<div class="card highlight" data-measure-role="card" data-logbook-target="claim-4-resnet-34-cifar-100n-fsgld-vs-sam-accuracy-and-per-iteration-speed-table-1-paper-table-3">
<div class="section-title"><span class="num">5</span><span class="st-text">Claim 4 — ResNet-34 scratch</span></div>
<p class="body-text fs-3 text-secondary mb-1">
Reduced scale: SmallCNN 0.5M, 15k CIFAR-100N subset (real 40.2% human noise), 30 ep, 3 seeds, fixed β=1e8.
</p>
<p class="body-text fs-4"><strong>Efficiency ✓ (architecture-independent):</strong> SAM needs 2 gradient evals, fSGLD needs 1 — measured cost ratio matches the paper's mechanism (paper 41.3/23.7 ≈ 1.74×).</p>
<div class="keybox">
<div class="kb-item"><div class="kb-num">1.92×</div><div class="kb-label">SAM /<br>fSGLD ✓</div></div>
<div class="kb-item"><div class="kb-num">1.03×</div><div class="kb-label">fSGLD /<br>SGD ✓</div></div>
<div class="kb-item"><div class="kb-num">40.0%</div><div class="kb-label">fSGLD acc<br>&lt; SAM 41.5 ✗</div></div>
</div>
<table class="result-table">
<thead><tr><th class="method">Optimizer</th><th>acc</th><th>s/iter</th></tr></thead>
<tbody>
<tr><td class="method">SGD</td><td>41.50</td><td>0.592</td></tr>
<tr class="reference"><td class="method">SAM</td><td>41.45</td><td>1.173</td></tr>
<tr class="ours"><td class="method">fSGLD</td><td>39.97</td><td class="best">0.611</td></tr>
</tbody>
</table>
<p class="body-text mt-2 fs-3"><strong>Accuracy ✗ (reduced):</strong> fSGLD 39.97% &lt; SAM 41.45%; the paper's fSGLD &gt; SAM (61.51 vs 59.18) needs the full ResNet and a tuned β. <em>Extraction defect: the claim's 62.02% appears nowhere in the paper.</em></p>
</div>
<div class="card" data-measure-role="card" data-logbook-target="claim-5-vit-b-16-fine-tune-cifar-100n-fsgld-vs-sam-table-2-paper-table-4">
<div class="section-title"><span class="num">6</span><span class="st-text">Claim 5 — fine-tune regime</span></div>
<p class="body-text">Emulated fine-tuning (clean-pretrain → noisy-finetune SmallCNN; ViT-B/16 backbone not downloadable on CPU budget). Same optimizer that lost from scratch <em>wins</em> here.</p>
<ul class="mt-3">
<li><strong>fSGLD 46.95%</strong> &gt; SAM 46.39% &gt; SGD 46.24%.</li>
<li>Paper ordering (fSGLD 75.67 &gt; SAM 74.66) reproduces.</li>
</ul>
<table class="result-table">
<thead><tr><th class="method">Optimizer</th><th>fine-tune acc</th></tr></thead>
<tbody>
<tr><td class="method">SGD</td><td>46.24</td></tr>
<tr class="reference"><td class="method">SAM</td><td>46.39</td></tr>
<tr class="ours"><td class="method">fSGLD</td><td class="best">46.95</td></tr>
</tbody>
</table>
<div class="callout mt-3">
Flatness bias helps most when resisting noisy-label overfitting from a good pretrained basin — exactly the regime with the smaller fSGLD−SAM gap in the paper.
</div>
</div>
</div>
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<div class="column" data-measure-role="column">
<div class="card highlight" data-measure-role="card" data-logbook-target="claim-6-coupling-ablation-and-hessian-flatness-spectrum-sec-4-3-fig-3-paper-sec-4-4-4-5-fig-1-2">
<div class="section-title"><span class="num">7</span><span class="st-text">Claim 6 — ablation + flatness</span></div>
<p class="body-text fs-2 text-secondary mb-1">
Hessian spectrum of the trained models (Hutchinson trace + power-iteration $\lambda_{\text{top}}$). Paper: fSGLD flatter than SGD.
</p>
<table class="result-table">
<thead>
<tr>
<th class="method">Optimizer</th>
<th>tr H &#8595;</th>
<th>&#955;<sub>top</sub> &#8595;</th>
</tr>
</thead>
<tbody>
<tr><td class="method">SGD</td><td>984.9</td><td>95.8</td></tr>
<tr class="reference"><td class="method">SAM (flattest)</td><td>831.8</td><td>87.5</td></tr>
<tr class="ours"><td class="method">fSGLD</td><td>3042.9</td><td>331.7</td></tr>
</tbody>
</table>
<p class="body-text mt-2 fs-3">
<strong>Reversed at reduced scale:</strong> fSGLD's final iterate is ~3× <em>sharper</em> than SGD, not flatter; SAM is the flattest.
</p>
<p class="body-text fs-2 text-secondary mb-1">Coupling ablation — accuracy vs implied η (β fixed):</p>
<table class="result-table">
<thead><tr><th class="method">η</th><th>−0.5</th><th>0.1</th><th>0.5</th><th>0.9</th><th>1.5</th></tr></thead>
<tbody>
<tr><td class="method">acc %</td><td>1.0</td><td>40.0</td><td class="best">41.4</td><td class="best">41.5</td><td>41.4</td></tr>
</tbody>
</table>
<p class="body-text fs-3">Negative η diverges (✓ coupling sign matters), but the prescribed η=0.1 is not the peak and η=1.5 does not drop — the strict interior-(0,1) optimum is not reproduced here.</p>
</div>
<div class="card" data-measure-role="card" data-logbook-target="conclusion">
<div class="section-title"><span class="num">8</span><span class="st-text">Scope &amp; verdicts</span></div>
<ul class="fs-4">
<li><strong>Claims 1–3</strong> (theory) — VERIFIED, machine precision.</li>
<li><strong>Claim 4</strong> — efficiency ✓ / accuracy ✗ (reduced).</li>
<li><strong>Claim 5</strong> — VERIFIED (reduced, fine-tune).</li>
<li><strong>Claim 6</strong> — NOT reproduced (reduced).</li>
</ul>
<table class="result-table">
<thead><tr><th class="method">Axis</th><th>This repro</th><th>Paper</th></tr></thead>
<tbody>
<tr><td class="method">Model</td><td>SmallCNN 0.5M</td><td>ResNet-34 / ViT-B/16</td></tr>
<tr><td class="method">Data</td><td>15k subset</td><td>50k + WebVision</td></tr>
<tr><td class="method">Epochs</td><td>30 / 15</td><td>150 / 75</td></tr>
<tr class="ours"><td class="method">Hardware</td><td class="best">CPU</td><td>A100 GPUs</td></tr>
</tbody>
</table>
<div class="callout mt-3 fs-3">
Cost: theory ≈ \$0 (numpy, 6.3 s); experiments ≈ \$6 est. (~4.5 h on a 32-core Modal CPU). Data is real, sha256-verified CIFAR-100N with genuine human label noise; no GPU was used, and every derivation, script and log ships in the linked bundle.
</div>
</div>
</div>
</div>
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<section class="takeaways-strip" data-measure-role="footer-strip">
<div class="ts-title"><span class="num">9</span> Takeaways&nbsp;<span data-ps-mark="woven" data-color-exempt="logo" aria-hidden="true"><svg viewBox="0 0 100 100"><use href="#psReg"/></svg></span></div>
<div class="ts-item"><span class="ts-key">Theory holds.</span><span class="ts-text">Surrogate identity &amp; coupling exact to 1e-12; all 3 theorems verified.</span></div>
<div class="ts-item"><span class="ts-key">Efficiency holds.</span><span class="ts-text">SAM ≈ 1.9× fSGLD per-step cost — architecture-independent.</span></div>
<div class="ts-item"><span class="ts-key">Scale matters.</span><span class="ts-text">From-scratch accuracy &amp; flatness gains vanish at CPU-affordable scale.</span></div>
<div class="ts-item"><span class="ts-key">Claim text buggy.</span><span class="ts-text">62.02% not in paper; every theorem/table/figure mis-numbered.</span></div>
</section>
<!-- ============================ FOOTER ============================ -->
<!-- Footer labels ("Code:" / "Contact:" / "Acknowledgements:") are microcopy --
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<div class="footer" data-measure-role="footer">
<div>
<strong class="method-name">Flatness-Aware SGLD — Reproduction</strong> &middot; ICML 2026 Reproducibility Challenge &middot;
Independent numerical audit + reduced-scale CPU experiments.
</div>
<div>
Paper: <span class="repo">arxiv.org/abs/2510.02174</span> &nbsp;&middot;&nbsp;
Logbook: <span class="repo">hf.co/spaces/JG1310/repro-flatness-aware-stochastic-gradient-langevin-dynamics</span>
</div>
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<div class="ornament">LAB &middot; INSTITUTION</div>
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