Pith Number

pith:XODZ7P7I

pith:2026:XODZ7P7IRMQWQ3JVNHV7IJHBLJ

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KG-ViP: Bridging Knowledge Grounding and Visual Perception in Multi-modal LLMs for Visual Question Answering

Ao Ke, Xike Xie, Yukun Cao, Zhiyang Li

KG-ViP fuses scene graphs and commonsense graphs via a query-guided pipeline to reduce hallucination and sharpen visual detail in multi-modal LLMs for VQA.

arxiv:2601.11632 v3 · 2026-01-14 · cs.CV

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\usepackage{pith}
\pithnumber{XODZ7P7IRMQWQ3JVNHV7IJHBLJ}

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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

Extensive experiments on FVQA 2.0+ and MVQA benchmarks demonstrate that KG-ViP significantly outperforms existing VQA methods.

C2weakest assumption

That the novel retrieval-and-fusion pipeline, using the query as a semantic bridge to integrate scene graphs and commonsense graphs, will produce reliable multi-modal reasoning without introducing new errors or irrelevant information.

C3one line summary

KG-ViP fuses scene graphs and commonsense graphs via a query-based retrieval-and-fusion pipeline to improve multi-modal LLM performance on visual question answering.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-28T01:04:35.437739Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

bb879fbfe88b21686d3569ebf424e15a7d27b5780b0c0b2dae1e3471b3f9bcca

Aliases

arxiv: 2601.11632 · arxiv_version: 2601.11632v3 · doi: 10.48550/arxiv.2601.11632 · pith_short_12: XODZ7P7IRMQW · pith_short_16: XODZ7P7IRMQWQ3JV · pith_short_8: XODZ7P7I

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/XODZ7P7IRMQWQ3JVNHV7IJHBLJ \
  | 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: bb879fbfe88b21686d3569ebf424e15a7d27b5780b0c0b2dae1e3471b3f9bcca

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "5caf495aa892e5cb638cee688588e87e82cc12b1ed3537d4c9fcd6c3da1ef5a5",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-01-14T07:16:11Z",
    "title_canon_sha256": "6c0aac27e602569de5afe28f9c1c2d34e60daf8752b60ceefc4c9f5a892df5bf"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2601.11632",
    "kind": "arxiv",
    "version": 3
  }
}