Pith Number

pith:MKK64FZN

pith:2023:MKK64FZNUHAIXP2HKHUY5IL4AA

not attested not anchored not stored refs pending

RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback

Ganqu Cui, Hai-Tao Zheng, Haoye Zhang, Jinyi Hu, Maosong Sun, Taiwen He, Tat-Seng Chua, Tianyu Yu, Yifeng Han, Yuan Yao, Zhiyuan Liu

arxiv:2312.00849 v2 · 2023-12-01 · cs.CL · cs.CV

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{MKK64FZNUHAIXP2HKHUY5IL4AA}

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

10 papers in Pith

Toward Native Multimodal Modeling: A Roadmap

Rethinking Visual Neglect: Steering via Context-Preference for MLLM Hallucination Mitigation

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Receipt and verification

First computed	2026-07-05T07:53:32.249759Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

6295ee172da1c08bbf4751e98ea17c0016c228aab6502d9753dd37a60e898f6d

Aliases

arxiv: 2312.00849 · arxiv_version: 2312.00849v2 · doi: 10.48550/arxiv.2312.00849 · pith_short_12: MKK64FZNUHAI · pith_short_16: MKK64FZNUHAIXP2H · pith_short_8: MKK64FZN

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/MKK64FZNUHAIXP2HKHUY5IL4AA \
  | 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: 6295ee172da1c08bbf4751e98ea17c0016c228aab6502d9753dd37a60e898f6d

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "5df022035fb9fe5572afaf1be2a2f5b1aa2c84bd0d5a6ece958d0e92ec48a310",
    "cross_cats_sorted": [
      "cs.CV"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2023-12-01T11:36:08Z",
    "title_canon_sha256": "9f7008b703560b6d1a8470ff8870be2cd83def1d1f0e93543fd2176eaa583ac1"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2312.00849",
    "kind": "arxiv",
    "version": 2
  }
}