Pith Number

pith:GAHNLIGV

pith:2026:GAHNLIGVIFTDCMYQADPA2DH3JB

not attested not anchored not stored refs pending

Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale

Alexei A. Efros, A. Sophia Koepke, Daniil Zverev, Shiry Ginosar

Evidence for cross-modal neural network convergence weakens at large scales and realistic conditions

arxiv:2604.18572 v2 · 2026-04-20 · cs.CV · cs.AI · cs.LG

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\usepackage{pith}
\pithnumber{GAHNLIGVIFTDCMYQADPA2DH3JB}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

We show that the experimental evidence for this hypothesis is fragile and depends critically on the evaluation regime. Alignment ... degrades substantially as the dataset is scaled to millions of samples.

C2weakest assumption

That mutual nearest-neighbor overlap measured on large-scale, many-to-many image-text pairs is a faithful indicator of whether fine-grained representational structure has converged.

C3one line summary

Evidence for cross-modal representational convergence weakens substantially at scale and in realistic many-to-many settings, indicating models learn rich but distinct representations.

Receipt and verification

First computed	2026-06-03T02:05:47.682345Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

300ed5a0d5416631331000de0d0cfb485bb9405e682b1017d15d23ec3ecbae17

Aliases

arxiv: 2604.18572 · arxiv_version: 2604.18572v2 · doi: 10.48550/arxiv.2604.18572 · pith_short_12: GAHNLIGVIFTD · pith_short_16: GAHNLIGVIFTDCMYQ · pith_short_8: GAHNLIGV

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/GAHNLIGVIFTDCMYQADPA2DH3JB \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 300ed5a0d5416631331000de0d0cfb485bb9405e682b1017d15d23ec3ecbae17

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "49517b19e26333b740c725f548c87bb36956011c9e171df64a3fdffde2c2c4d4",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-20T17:56:02Z",
    "title_canon_sha256": "3ebd6dc6108b88b305009f20a03871a9b8c17084fbd8c3c227c1791bedcb2407"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.18572",
    "kind": "arxiv",
    "version": 2
  }
}