pith:OU5Q6JBC
ViDR: Grounding Multimodal Deep Research Reports in Source Visual Evidence
Treating source figures as verifiable evidence objects improves the quality and verifiability of multimodal deep research reports.
arxiv:2605.13034 v1 · 2026-05-13 · cs.CV · cs.IR
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\pithnumber{OU5Q6JBCNNHHG6LMFKX3LAG45J}
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Record completeness
Claims
Experiments show that ViDR improves overall report quality, source-figure integration, and verifiability over strong commercial and open-source baselines.
That context-aware filtering, outline-aware reranking, and VLM-based visual analysis can reliably turn noisy web images into accurate, non-hallucinated evidence atoms without introducing new errors that affect report claims.
ViDR treats source figures as retrievable and verifiable evidence objects in multimodal deep research reports and introduces MMR Bench+ to measure improvements in visual integration and verifiability.
References
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Receipt and verification
| First computed | 2026-05-18T03:08:59.668216Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OU5Q6JBCNNHHG6LMFKX3LAG45J \
| 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: 753b0f24226b4e73796c2aafb580dcea5ec446ce6a16d81fdd4bc30892f79c64
Canonical record JSON
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