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poster/poster.html CHANGED
@@ -876,8 +876,10 @@
876
  padding-bottom on a column's LAST card raises its measured bottom without
877
  re-wrapping any text. Only ever used for a < 1-line residual. */
878
  .pb-10 { padding-bottom: calc(10 * var(--u)); }
879
- .pb-16 { padding-bottom: calc(16 * var(--u)); }
880
- .pb-14 { padding-bottom: calc(14 * var(--u)); }
 
 
881
 
882
  .mb-1 { margin-bottom: calc(1 * var(--u)); }
883
  .mb-2 { margin-bottom: calc(2 * var(--u)); }
@@ -951,7 +953,7 @@
951
  <div class="banner-stats">
952
  <div class="bs-item"><div class="bs-num">+4.69</div><div class="bs-label">CCD on HumanEval<br>(paper: +4.65) &#10003;</div></div>
953
  <div class="bs-item"><div class="bs-num">1.02&times;</div><div class="bs-label">measured speedup<br>(paper: 3.48&times;) &#10007;</div></div>
954
- <div class="bs-item"><div class="bs-num">8/8</div><div class="bs-label">configs match the<br>ceiling (2.0% err)</div></div>
955
  <div class="bs-item"><div class="bs-num">V&asymp;16</div><div class="bs-label">recovers the paper's<br>numbers, not V=4</div></div>
956
  </div>
957
  </section>
@@ -1006,7 +1008,7 @@
1006
  </p>
1007
  </div>
1008
 
1009
- <div class="card pb-14" data-logbook-target="conclusion" data-measure-role="card">
1010
  <div class="section-title"><span class="num">4</span><span class="st-text">Scope, cost &amp; what's next</span></div>
1011
  <p class="body-text">
1012
  <strong>~7 GPU-h on one L40S, ~&#36;13</strong>, against ~250 GPU-h (~&#36;450) to run all of Table 1 at
@@ -1028,7 +1030,7 @@
1028
  <div class="section-title"><span class="num">5</span><span class="st-text">Theory: Prop. 1 &#10003;, Prop. 2 &#10007;</span></div>
1029
  <p class="body-text">
1030
  <strong>Prop. 1</strong> &mdash; <em>H(x|s) = H(x|c,s) + I(x;c|s)</em> &mdash; is a correct identity, exact to
1031
- <strong>4e-16</strong> over 2000 random joints.
1032
  </p>
1033
  <p class="body-text mt-3">
1034
  <strong>Prop. 2 does not follow.</strong> Lemma 1 is an <em>upper</em> bound; Eq. (12) swaps its RHS for a
@@ -1059,14 +1061,14 @@
1059
  </p>
1060
  </div>
1061
 
1062
- <div class="card pb-16" data-logbook-target="claim-1-ccd-sliding-window-buffer-approximates-the-marginal" data-measure-role="card">
1063
  <div class="section-title"><span class="num">7</span><span class="st-text">Measured: the budget starves</span></div>
1064
  <figure class="figure">
1065
  <img class="w-90" src="images/fig_ic_hist.png" alt="Histogram of intersection size">
1066
  <div class="caption">At V=4, d=3 the intersection holds exactly one candidate in 72% of steps &mdash; Eq. (20)'s budget has nothing to adapt with.</div>
1067
  </figure>
1068
  <p class="body-text mt-3 fs-4">
1069
- The stability heuristic &mdash; the part the paper describes tuning &mdash; passes <strong>98.3%</strong> of the time. It is not the bottleneck; the intersection is.
1070
  </p>
1071
  </div>
1072
 
@@ -1077,8 +1079,8 @@
1077
  <div class="card" data-measure-role="card">
1078
  <div class="section-title"><span class="num">8</span><span class="st-text">The ceiling predicts, 8/8</span></div>
1079
  <figure class="figure">
1080
- <img class="w-75" src="images/fig_k_law.png" alt="Predicted vs measured tokens per step">
1081
- <div class="caption">Predicted from the equations before any run, then measured on Dream-7B: mean absolute error 2.0%, worst case 6.8%. Nothing here is fitted.</div>
1082
  </figure>
1083
  <p class="body-text mt-3 fs-4">
1084
  It holds on the <em>d</em> axis too: d=1&rarr;1.95 (predicted 2.00), d=2&rarr;1.31 (1.33), d=3&rarr;1.01 (1.00).
@@ -1095,19 +1097,18 @@
1095
  <table class="result-table">
1096
  <thead><tr><th></th><th>paper</th><th>V=4</th><th>V=16</th></tr></thead>
1097
  <tbody>
1098
- <tr><td>CCD &Delta;</td><td>+1.83</td><td>&minus;1.56</td><td class="num-cell">+1.57 &#10003;</td></tr>
1099
  <tr><td>DS steps</td><td>75.2</td><td>252.1</td><td class="num-cell">70.3 &#10003;</td></tr>
1100
  <tr><td>DS speedup</td><td>3.48&times;</td><td>1.02&times;</td><td class="num-cell">3.64&times; &#10003;</td></tr>
1101
  </tbody>
1102
  </table>
1103
  <p class="body-text mt-3">
1104
  On HumanEval too: the bound says 3.04&times; needs V&ge;12.2; <strong>V=12 gives 2.89&times;</strong>. The
1105
- published <span class="keyword">V=4</span> does not appear to describe the runs behind Table 1 &mdash; and no
1106
- single V reproduces both headline numbers at once.
1107
  </p>
1108
  </div>
1109
 
1110
- <div class="card" data-logbook-target="claim-3-trip-plan-speedup-and-score-dream-7b" data-measure-role="card">
1111
  <div class="section-title"><span class="num">10</span><span class="st-text">Claim 3 &mdash; Trip Plan</span></div>
1112
  <table class="result-table">
1113
  <thead><tr><th>arm</th><th>paper</th><th>ours</th><th>speedup</th></tr></thead>
@@ -1143,33 +1144,31 @@
1143
  </tbody>
1144
  </table>
1145
  <p class="body-text mt-3">
1146
- CCD improves <strong>3 of 64</strong> problems and <strong>worsens none</strong>, but <em>p=0.250</em> is
1147
- the floor for 3 discordant pairs &mdash; not formally significant. It drove 96% of steps and rewrote 38% of
1148
- programs: a real effect.
1149
  </p>
1150
  </div>
1151
 
1152
  <div class="card" data-logbook-target="claim-5-historical-buffer-size-ablation" data-measure-role="card">
1153
  <div class="section-title"><span class="num">12</span><span class="st-text">Claim 5 &mdash; buffer ablation</span></div>
1154
  <figure class="figure">
1155
- <img class="w-70" src="images/fig_ablation_score.png" alt="Accuracy vs buffer width">
1156
  <div class="caption">Accuracy falls monotonically and never beats baseline. The paper's 70% peak at size 4; we measure 50.0, under our 52.5 baseline.</div>
1157
  </figure>
1158
  <p class="body-text mt-3 fs-4">
1159
- The reported "95.54 steps at buffer 4" sits between our V=8 (132.8) and V=16 (68.6) &mdash; implying
1160
- V&asymp;11 again, from a different figure.
1161
  </p>
1162
  </div>
1163
 
1164
- <div class="card pb-10" data-logbook-target="claim-6-temperature-robustness" data-measure-role="card">
1165
  <div class="section-title"><span class="num">13</span><span class="st-text">Claim 6 &mdash; temperature</span></div>
1166
  <figure class="figure">
1167
- <img class="w-70" src="images/fig_temperature.png" alt="pass@1 vs sampling temperature, baseline vs CCD-DS">
1168
  <div class="caption">The gain appears only at T=0 (+6.25 vs +9.8 claimed); at every other temperature CCD-DS is worse or level.</div>
1169
  </figure>
1170
  <p class="body-text mt-3 fs-4">
1171
- Only T=0 gains (<strong>50.0 vs 43.75</strong>, +6.25); the rest trail. <strong>Heavily caveated:</strong> at
1172
- n=16 these are 1&ndash;2-example moves, and T=0.1/0.4/0.7 sit inside the collapse regime &mdash; our weakest test.
1173
  </p>
1174
  </div>
1175
 
 
876
  padding-bottom on a column's LAST card raises its measured bottom without
877
  re-wrapping any text. Only ever used for a < 1-line residual. */
878
  .pb-10 { padding-bottom: calc(10 * var(--u)); }
879
+ .pb-9 { padding-bottom: calc(9 * var(--u)); }
880
+ .pb-7 { padding-bottom: calc(7 * var(--u)); }
881
+ .pb-8 { padding-bottom: calc(8 * var(--u)); }
882
+ .pb-12 { padding-bottom: calc(12 * var(--u)); }
883
 
884
  .mb-1 { margin-bottom: calc(1 * var(--u)); }
885
  .mb-2 { margin-bottom: calc(2 * var(--u)); }
 
953
  <div class="banner-stats">
954
  <div class="bs-item"><div class="bs-num">+4.69</div><div class="bs-label">CCD on HumanEval<br>(paper: +4.65) &#10003;</div></div>
955
  <div class="bs-item"><div class="bs-num">1.02&times;</div><div class="bs-label">measured speedup<br>(paper: 3.48&times;) &#10007;</div></div>
956
+ <div class="bs-item"><div class="bs-num">8/8</div><div class="bs-label">configs match the<br>ceiling (1.9% err)</div></div>
957
  <div class="bs-item"><div class="bs-num">V&asymp;16</div><div class="bs-label">recovers the paper's<br>numbers, not V=4</div></div>
958
  </div>
959
  </section>
 
1008
  </p>
1009
  </div>
1010
 
1011
+ <div class="card pb-12" data-logbook-target="conclusion" data-measure-role="card">
1012
  <div class="section-title"><span class="num">4</span><span class="st-text">Scope, cost &amp; what's next</span></div>
1013
  <p class="body-text">
1014
  <strong>~7 GPU-h on one L40S, ~&#36;13</strong>, against ~250 GPU-h (~&#36;450) to run all of Table 1 at
 
1030
  <div class="section-title"><span class="num">5</span><span class="st-text">Theory: Prop. 1 &#10003;, Prop. 2 &#10007;</span></div>
1031
  <p class="body-text">
1032
  <strong>Prop. 1</strong> &mdash; <em>H(x|s) = H(x|c,s) + I(x;c|s)</em> &mdash; is a correct identity, exact to
1033
+ <strong>machine precision</strong> (max |LHS&minus;RHS| ~2e-15 over 2000 random joints).
1034
  </p>
1035
  <p class="body-text mt-3">
1036
  <strong>Prop. 2 does not follow.</strong> Lemma 1 is an <em>upper</em> bound; Eq. (12) swaps its RHS for a
 
1061
  </p>
1062
  </div>
1063
 
1064
+ <div class="card pb-9" data-logbook-target="claim-1-ccd-sliding-window-buffer-approximates-the-marginal" data-measure-role="card">
1065
  <div class="section-title"><span class="num">7</span><span class="st-text">Measured: the budget starves</span></div>
1066
  <figure class="figure">
1067
  <img class="w-90" src="images/fig_ic_hist.png" alt="Histogram of intersection size">
1068
  <div class="caption">At V=4, d=3 the intersection holds exactly one candidate in 72% of steps &mdash; Eq. (20)'s budget has nothing to adapt with.</div>
1069
  </figure>
1070
  <p class="body-text mt-3 fs-4">
1071
+ The stability heuristic &mdash; the part the paper describes tuning &mdash; passes on <strong>96.1%</strong> of candidates. It is not the bottleneck; the intersection is.
1072
  </p>
1073
  </div>
1074
 
 
1079
  <div class="card" data-measure-role="card">
1080
  <div class="section-title"><span class="num">8</span><span class="st-text">The ceiling predicts, 8/8</span></div>
1081
  <figure class="figure">
1082
+ <img class="w-80" src="images/fig_k_law.png" alt="Predicted vs measured tokens per step">
1083
+ <div class="caption">Predicted from the equations before any run, then measured on Dream-7B: mean absolute error 1.9%, worst case 6.7%. Nothing here is fitted.</div>
1084
  </figure>
1085
  <p class="body-text mt-3 fs-4">
1086
  It holds on the <em>d</em> axis too: d=1&rarr;1.95 (predicted 2.00), d=2&rarr;1.31 (1.33), d=3&rarr;1.01 (1.00).
 
1097
  <table class="result-table">
1098
  <thead><tr><th></th><th>paper</th><th>V=4</th><th>V=16</th></tr></thead>
1099
  <tbody>
1100
+ <tr><td>CCD &Delta;</td><td>+1.83</td><td>&minus;1.56</td><td class="num-cell">+1.56 &#10003;</td></tr>
1101
  <tr><td>DS steps</td><td>75.2</td><td>252.1</td><td class="num-cell">70.3 &#10003;</td></tr>
1102
  <tr><td>DS speedup</td><td>3.48&times;</td><td>1.02&times;</td><td class="num-cell">3.64&times; &#10003;</td></tr>
1103
  </tbody>
1104
  </table>
1105
  <p class="body-text mt-3">
1106
  On HumanEval too: the bound says 3.04&times; needs V&ge;12.2; <strong>V=12 gives 2.89&times;</strong>. The
1107
+ published <span class="keyword">V=4</span> appears to fit neither benchmark.
 
1108
  </p>
1109
  </div>
1110
 
1111
+ <div class="card pb-7" data-logbook-target="claim-3-trip-plan-speedup-and-score-dream-7b" data-measure-role="card">
1112
  <div class="section-title"><span class="num">10</span><span class="st-text">Claim 3 &mdash; Trip Plan</span></div>
1113
  <table class="result-table">
1114
  <thead><tr><th>arm</th><th>paper</th><th>ours</th><th>speedup</th></tr></thead>
 
1144
  </tbody>
1145
  </table>
1146
  <p class="body-text mt-3">
1147
+ Unanimous but underpowered: <strong>3 of 64</strong> improved, none worsened, <em>p=0.250</em>. CCD drove
1148
+ 96% of steps and rewrote 33% of programs.
 
1149
  </p>
1150
  </div>
1151
 
1152
  <div class="card" data-logbook-target="claim-5-historical-buffer-size-ablation" data-measure-role="card">
1153
  <div class="section-title"><span class="num">12</span><span class="st-text">Claim 5 &mdash; buffer ablation</span></div>
1154
  <figure class="figure">
1155
+ <img class="w-80" src="images/fig_ablation_score.png" alt="Accuracy vs buffer width">
1156
  <div class="caption">Accuracy falls monotonically and never beats baseline. The paper's 70% peak at size 4; we measure 50.0, under our 52.5 baseline.</div>
1157
  </figure>
1158
  <p class="body-text mt-3 fs-4">
1159
+ The reported "95.54 steps at buffer 4" sits between our V=8 (132.8) and V=16 (68.6) &mdash; V&asymp;11 again.
 
1160
  </p>
1161
  </div>
1162
 
1163
+ <div class="card pb-8" data-logbook-target="claim-6-temperature-robustness" data-measure-role="card">
1164
  <div class="section-title"><span class="num">13</span><span class="st-text">Claim 6 &mdash; temperature</span></div>
1165
  <figure class="figure">
1166
+ <img class="w-75" src="images/fig_temperature.png" alt="pass@1 vs sampling temperature, baseline vs CCD-DS">
1167
  <div class="caption">The gain appears only at T=0 (+6.25 vs +9.8 claimed); at every other temperature CCD-DS is worse or level.</div>
1168
  </figure>
1169
  <p class="body-text mt-3 fs-4">
1170
+ At T=0, <strong>50.0 vs 43.75</strong>. <strong>Caveat:</strong> n=16, and T=0.1/0.4/0.7 sit inside the
1171
+ collapse regime &mdash; our weakest test.
1172
  </p>
1173
  </div>
1174
 
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3
- size 1664048
 
1
  version https://git-lfs.github.com/spec/v1
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scripts/export_png.py CHANGED
@@ -3,12 +3,11 @@
3
  Poster figure slots render at ~756x454 px at 96ppi, and posterly's asset gate
4
  wants >=1.5x that; we export at scale=3 (~2700x1290) to clear it comfortably.
5
 
6
- FONTS: make_figures sizes text for a 900px-wide *web* figure. A poster column
7
- is ~1330 print-px, so those web sizes land at ~14pt next to 34pt body text --
8
- legible on a laptop, not from two feet away at a poster session. We scale the
9
- type up ~1.9x here (poster only; the logbook figures keep the web sizes) and
10
- grow the margins to match, so the bigger type has somewhere to go instead of
11
- colliding with the plot area.
12
  """
13
  import os, sys
14
  sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
@@ -30,43 +29,12 @@ spec.loader.exec_module(mf)
30
  OUTDIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "poster", "images")
31
  os.makedirs(OUTDIR, exist_ok=True)
32
 
33
- # Poster titles must be SHORT: at poster type size the web titles overrun the
34
- # 900px canvas and get clipped (the y-axis title then collides with them). The
35
- # detail they carry is already in each figure's poster caption, so the title
36
- # only has to name the quantity.
37
- SHORT_TITLES = {
38
- "fig_ic_hist": "Intersection size |I<sup>c</sup><sub>t</sub>| at V=4, d=3",
39
- "fig_k_law": "Throughput follows k = max(1, V/(d+1))",
40
- "fig_ablation_score": "Accuracy vs buffer width (n=40)",
41
- "fig_speedup": "Speedup: measured vs claimed",
42
- "fig_scores": "Scores: measured vs paper",
43
- "fig_temperature": "CCD gain vs temperature",
44
- }
45
-
46
- SHORT_XTITLES = {
47
- "fig_ic_hist": "|I<sup>c</sup><sub>t</sub>| (0 = fallback to baseline)",
48
- }
49
-
50
  # monkeypatch save() to also emit a PNG
51
  orig_save = mf.save
52
  def save_png(fig, name, rows, header):
53
- p, c = orig_save(fig, name, rows, header) # logbook HTML first, at web sizes
54
  png = os.path.join(OUTDIR, name + ".png")
55
- fig.update_layout(
56
- width=900, height=400,
57
- title=dict(text=SHORT_TITLES.get(name), font=dict(size=27)),
58
- font=dict(size=24), # ticks + axis titles
59
- legend=dict(font=dict(size=22)),
60
- margin=dict(l=20, r=40, t=110, b=20), # automargin grows l/b as needed
61
- )
62
- # let plotly reserve room for the axis titles instead of letting them
63
- # collide with the plot area or the figure title
64
- fig.update_xaxes(automargin=True)
65
- fig.update_yaxes(automargin=True)
66
- if name in SHORT_XTITLES: # match the sub/superscripts used in the title
67
- fig.update_xaxes(title_text=SHORT_XTITLES[name])
68
- fig.update_traces(textfont_size=22, selector=lambda t: hasattr(t, "textfont"))
69
- fig.update_annotations(font_size=21)
70
  fig.write_image(png, scale=3)
71
  print(" png:", png)
72
  return p, c
 
3
  Poster figure slots render at ~756x454 px at 96ppi, and posterly's asset gate
4
  wants >=1.5x that; we export at scale=3 (~2700x1290) to clear it comfortably.
5
 
6
+ Type size is deliberately NOT touched here. posterly's figure standard (SKILL.md
7
+ Step 2 + Gate A) sets legibility with two levers -- autocrop the whitespace so the
8
+ plot fills its box, then size the figure at 70-100% of card width for AR>1.3 --
9
+ not by inflating fonts. Scaling the type up here previously overran the 900px
10
+ canvas and clipped the titles into the y-axis labels.
 
11
  """
12
  import os, sys
13
  sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
 
29
  OUTDIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "poster", "images")
30
  os.makedirs(OUTDIR, exist_ok=True)
31
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
32
  # monkeypatch save() to also emit a PNG
33
  orig_save = mf.save
34
  def save_png(fig, name, rows, header):
35
+ p, c = orig_save(fig, name, rows, header)
36
  png = os.path.join(OUTDIR, name + ".png")
37
+ fig.update_layout(width=900, height=430)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
38
  fig.write_image(png, scale=3)
39
  print(" png:", png)
40
  return p, c