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pith:F5X7JSFI

pith:2026:F5X7JSFI5VTT3HFJVPYXSKR33R
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Revealing Interpretable Failure Modes of VLMs

Gagandeep Singh, Isha Chaudhary, Kavya Sachdeva, Sayan Ranu, Vedaant V Jain

REVELIO uncovers interpretable concept compositions that cause consistent failures in vision-language models.

arxiv:2605.12674 v1 · 2026-05-12 · cs.AI · cs.LG · cs.RO

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\pithnumber{F5X7JSFI5VTT3HFJVPYXSKR33R}

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1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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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 introduce REVELIO, a framework for systematically uncovering interpretable failure modes in VLMs... uncovering previously unreported vulnerabilities in state-of-the-art VLMs.

C2weakest assumption

That the searched concept compositions correspond to genuine, consistent real-world failure modes rather than artifacts of the simulation or search heuristics.

C3one line summary

REVELIO uncovers interpretable failure modes in VLMs by searching combinatorial concept spaces with diversity-aware beam search and Gaussian-process Thompson sampling, revealing vulnerabilities in autonomous driving and indoor robotics.

References

222 extracted · 222 resolved · 3 Pith anchors

[1] Claude Sonnet 2025
[2] Large language model-assisted autonomous vehicle recovery from immobilization, 2025 2025
[3] The use of mmr, diversity-based reranking for reordering documents and producing summaries 1998
[4] Gonzalez, and Ion Stoica 2025
[5] Kevin Kai-Chun Chang, Ekin Beyazit, Alberto Sangiovanni-Vincentelli, Tichakorn Wongpirom- sarn, and Sanjit A. Seshia. Scenicrules: An autonomous driving benchmark with multi-objective specifications a 2026

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-18T03:09:50.100529Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

2f6ff4c8a8ed673d9ca9abf1792a3bdc73bd12c42f53f645a94850b3fec3b427

Aliases

arxiv: 2605.12674 · arxiv_version: 2605.12674v1 · doi: 10.48550/arxiv.2605.12674 · pith_short_12: F5X7JSFI5VTT · pith_short_16: F5X7JSFI5VTT3HFJ · pith_short_8: F5X7JSFI
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F5X7JSFI5VTT3HFJVPYXSKR33R \
  | 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: 2f6ff4c8a8ed673d9ca9abf1792a3bdc73bd12c42f53f645a94850b3fec3b427
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-12T19:25:17Z",
    "title_canon_sha256": "f08dd3004bd6c564804105a7d1f54d3e55105fa59590bbcacd6d209e926929a9"
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    "kind": "arxiv",
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}