Pith Number

pith:FFZKSTMR

pith:2026:FFZKSTMR2G5MIUBLZGEG2R6P6U

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Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation

Di Liang, Peiyang Liu, Wei Ye, Xi Wang, Ziqiang Cui

Vision-language models can deliver pixel-level visual evidence chains for iterative retrieval-augmented generation by operating directly on document screenshots.

arxiv:2605.01284 v2 · 2026-05-02 · cs.CV · cs.AI · cs.CL · cs.IR

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\usepackage{pith}
\pithnumber{FFZKSTMR2G5MIUBLZGEG2R6P6U}

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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

fine-tuned Qwen3-VL-8B-Instruct achieves robust performance, significantly outperforming text-based baselines in scenarios requiring visual layout understanding, while establishing a retriever-agnostic solution for pixel-level interpretable iRAG.

C2weakest assumption

That vision-language models applied to raw document screenshots can reliably recover spatial logic and layout cues that text conversion discards, without format-specific parsing or additional supervision beyond the fine-tuning described.

C3one line summary

CoE applies vision-language models directly to document screenshots to deliver pixel-level bounding-box attribution for evidence in iterative retrieval-augmented generation, outperforming text baselines on visual-layout tasks.

Receipt and verification

First computed	2026-05-26T01:03:31.680631Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

2972a94d91d1bac4502bc9886d47cff5086052b64ce46b316a36ffb3550198e7

Aliases

arxiv: 2605.01284 · arxiv_version: 2605.01284v2 · doi: 10.48550/arxiv.2605.01284 · pith_short_12: FFZKSTMR2G5M · pith_short_16: FFZKSTMR2G5MIUBL · pith_short_8: FFZKSTMR

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/FFZKSTMR2G5MIUBLZGEG2R6P6U \
  | 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: 2972a94d91d1bac4502bc9886d47cff5086052b64ce46b316a36ffb3550198e7

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "118bf059e09fbe7927df304ab6d8bb2c863f08dcaba997245484db0b223c2087",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CL",
      "cs.IR"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-02T06:40:42Z",
    "title_canon_sha256": "d08b1190e6ccce64ca8ad55466d40ca9103daa69a66afaeaa7dd9130256fe2f7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.01284",
    "kind": "arxiv",
    "version": 2
  }
}