diff options
| author | YurenHao0426 <Blackhao0426@gmail.com> | 2026-08-01 16:15:41 -0500 |
|---|---|---|
| committer | YurenHao0426 <Blackhao0426@gmail.com> | 2026-08-01 16:15:41 -0500 |
| commit | 08fd63b8fee62ccdc284380c9832900ee83f9ede (patch) | |
| tree | 53d49406a0b778e25c7604a7ae0fe5d2ecf15367 /EXTENDED_ABSTRACT.md | |
| parent | 58b9c84dae293359f498fdf6afd533df5c9d3c25 (diff) | |
Retire the correlation gate: the shared spectrum governs recovery
A controlled truncation refutes the project's central go/no-go rule.
Projecting the recovering synthetic fields to rank r holds the field
correlation at 0.902-0.929 while recovery moves 6.2% -> 12.9% -> 95.6%
across ranks 4, 8, 16. A field past the supposed 0.9 threshold recovers
13%, so correlation neither predicts nor forbids recovery and the width
of the shared spectrum is what moves it.
The gate becomes a joint condition on correlation and shared width,
measured by principal angles against a scene-shuffled null. Neither
suffices alone: 18 shared directions at 0.508 fails, 11 at 0.902 fails.
With the old gate retired, natural data was finally searched: 0.0000
against 0.0039 chance. The old verdict was right, its reasoning was not.
Also closes route D by measurement. rho_IT ~ sqrt(4 log N / N) rises as N
falls, and at N = 16 through 96 the deepest state a strong searcher
reaches is deeper than the truth in 3/3 replicates at every size.
Free gains: eigenvalue-weighted projection over a wide basis with
128-dim text vectors takes the correlation 0.656 -> 0.716 and shared
width 10 -> 16. Hubness refuted as an inflation hypothesis.
Moving the per-image segmentation eigendecomposition onto the GPU cut
batch time from 130s to 1.9s.
Co-Authored-By: Claude <noreply@anthropic.com>
Diffstat (limited to 'EXTENDED_ABSTRACT.md')
| -rw-r--r-- | EXTENDED_ABSTRACT.md | 74 |
1 files changed, 52 insertions, 22 deletions
diff --git a/EXTENDED_ABSTRACT.md b/EXTENDED_ABSTRACT.md index 1a75b8c..1e96cae 100644 --- a/EXTENDED_ABSTRACT.md +++ b/EXTENDED_ABSTRACT.md @@ -71,14 +71,26 @@ third-order energy that appeared to pass, and a value-alignment ceiling of six correct entries in ten that combining two signals lifted to ten. Each was settled by computing the bound rather than inferring it. -The gate yields a cheap predictor. Recovery tracks a single measurable -quantity, the correlation between the two relation fields at the true -pairing, and the phase boundary sits where correlated-matching theory -puts it: at five hundred scenes the information-theoretic threshold is -near 0.29 and the polynomial-algorithm threshold near 0.9. Nothing we -built worked below 0.9, and recovery appeared as soon as fields crossed -it. Any new representation can therefore be priced in minutes, before a -single search is run. +The gate also produced our longest-lived mistake, and correcting it is +the paper's second result. Recovery appeared to track one measurable +quantity — the correlation between the two relation fields at the true +pairing — with the phase boundary where correlated-matching theory puts +it, near 0.9 at five hundred scenes. We priced representations against +that number for months. **It does not govern recovery.** Truncating the +synthetic fields that recover to rank eight leaves the correlation at +0.906, past the supposed threshold, and recovery at 13%; the same fields +at rank sixteen recover 96%. Correlation is nearly fixed across the +ladder while recovery crosses its whole range. + +The theory said so in advance and we misread it. Matching thresholds are +derived for exchangeable full-rank noise, where each of the N²/2 field +entries constrains the pairing independently; a rank-*r* shared component +supplies about *rN*, an eighth as many at 256 scenes with *r* near ten. +The corrected gate is a joint condition on the correlation and on the +width of the shared spectrum — the number of directions along which the +two modalities agree, measured by principal angles against a +scene-shuffled null. Neither alone suffices: 18 shared directions at +correlation 0.508 fails, and 11 at 0.902 fails. ## A closed world settles the mechanism @@ -120,9 +132,9 @@ frequency rankings diverge in the tail. Ported to Visual Genome under the same recipe — DINOv2 patch features, spectral segmentation, distributional word statistics — the field -correlation reaches 0.656, against the 0.9 recovery needs. No recovery -run is warranted, and the trajectory that got there is more informative -than the number. +correlation reaches 0.716 and the shared spectrum 15 directions, against +0.928 and 26 for the synthetic world that recovers. The trajectory that +got there is more informative than either number. Discretisation cost more than half the signal: hard class codes give 0.166 where continuous states give 0.489, because fields need only @@ -137,20 +149,38 @@ underperform corpus-fitted statistics, 0.19 against 0.656, so in-context features beat isolated crops and corpus-specific vectors beat a language model's pooled states. +The width diagnosis localises the remaining gap somewhere the correlation +alone never pointed. Both modalities are individually rich on +photographs — vision effective rank 40, text 48 — and they agree on 15 +directions, so **each side is rich about something and they are rich +about different things.** That intersection barely moves under anything +tunable on the vision side: near-tripling the segments costs one shared +direction, and handing the pipeline annotated boxes instead of +unsupervised segmentation buys one. The text side moves it from 10 to 17 +and saturates. Enlarging the population does not help either, 23 to 19 +shared directions from 256 to 1024 scenes. The ceiling behaves like a +property of what the two corpora are about rather than of how either is +encoded, which makes corpus choice a first-class variable: the closed +world reaches 26 because its captions state exactly the world state. + ## What is not shown The closed-world result uses object states built by hand; no self-supervised recipe we tested — orbit contrastive, masked pixel reconstruction, their hybrid, masked feature prediction, or slot attention at two resolutions — produced their equivalent, each failing -by a distinct measured mechanism. Natural data sits 0.24 below the -recovery threshold. No frozen language model has been driven end to end -on natural data by a recovered correspondence, though a paired control -establishes that the interface works once the correspondence is right. - -The untried lever is the one the closed world identified as a protocol -requirement: two-sided multi-view observation. Visual Genome offers one -photograph per scene, so orbits must come from augmentation or from -corpora that carry them natively. Whether that closes 0.656 to 0.9 is -the next measurement, and the gate will answer it before any search is -run. +by a distinct measured mechanism. Natural data recovers no better than +chance. No frozen language model has been driven end to end on natural +data by a recovered correspondence, though a paired control establishes +that the interface works once the correspondence is right. + +The lever the closed world named as a protocol requirement — two-sided +multi-view observation — has now been tried on photographs and returned +nothing: four augmentation orbits leave the correlation at 0.6559 either +way. Visual Genome offers one photograph per scene, so this tests +augmentation rather than genuine re-observation, and corpora carrying +native orbits remain untested. But the width result reframes what to +look for in them. The question is no longer whether a lever closes a +scalar gap; it is whether a pair of corpora describes enough of the same +world for their shared spectrum to be wide, and that is a property to +select corpora on rather than a deficiency to engineer around. |
