Pith Number

pith:ZJ5DO3WS

pith:2023:ZJ5DO3WSMORTBO7ZYL4AHXZVH6

not attested not anchored not stored refs pending

Woodpecker: Hallucination Correction for Multimodal Large Language Models

Chaoyou Fu, Dianbo Sui, Enhong Chen, Hao Wang, Ke Li, Shukang Yin, Sirui Zhao, Tong Xu, Xing Sun, Yunhang Shen

arxiv:2310.16045 v2 · 2023-10-24 · cs.CV · cs.AI · cs.CL · cs.LG

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{ZJ5DO3WSMORTBO7ZYL4AHXZVH6}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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.

Cited by

17 papers in Pith

ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization

VidHal: Benchmarking Temporal Hallucinations in Vision LLMs

A Nash Equilibrium Framework For Training-Free Multimodal Step Verification

Deep Pre-Alignment for VLMs

Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration

Receipt and verification

First computed	2026-07-05T09:47:26.820217Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

ca7a376ed263a330bbf9c2f803df353f9d46bdc5b307c7898377e8dd234dfcee

Aliases

arxiv: 2310.16045 · arxiv_version: 2310.16045v2 · doi: 10.48550/arxiv.2310.16045 · pith_short_12: ZJ5DO3WSMORT · pith_short_16: ZJ5DO3WSMORTBO7Z · pith_short_8: ZJ5DO3WS

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/ZJ5DO3WSMORTBO7ZYL4AHXZVH6 \
  | 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: ca7a376ed263a330bbf9c2f803df353f9d46bdc5b307c7898377e8dd234dfcee

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "82168156f5d9bc0a458b1aa1e6a7406fcf2938b810fffd8276dfacedbc597e1e",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2023-10-24T17:58:07Z",
    "title_canon_sha256": "64c2ecb22ea9d34f8553cf615581b2ce0d9c132486ce5e98fbc967985ddc448e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2310.16045",
    "kind": "arxiv",
    "version": 2
  }
}