Pith Number

pith:F4F3B6XS

pith:2023:F4F3B6XSURWOLHT2BCN76XQLDF

not attested not anchored not stored refs pending

MIMIC-IT: Multi-Modal In-Context Instruction Tuning

Bo Li, Chunyuan Li, Fanyi Pu, Jinghao Wang, Jingkang Yang, Liangyu Chen, Yuanhan Zhang, Ziwei Liu

arxiv:2306.05425 v1 · 2023-06-08 · cs.CV · cs.AI · cs.CL · cs.HC

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{F4F3B6XSURWOLHT2BCN76XQLDF}

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

19 papers in Pith

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning

VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model

Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark

Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM

EntropyScan: Towards Model-level Backdoor Detection in LVLMs via Visual Attention Entropy

Receipt and verification

First computed	2026-07-05T06:18:56.920720Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

2f0bb0faf2a46ce59e7a089bff5e0b196e1893ead60c2a575bebd58f356770c3

Aliases

arxiv: 2306.05425 · arxiv_version: 2306.05425v1 · doi: 10.48550/arxiv.2306.05425 · pith_short_12: F4F3B6XSURWO · pith_short_16: F4F3B6XSURWOLHT2 · pith_short_8: F4F3B6XS

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/F4F3B6XSURWOLHT2BCN76XQLDF \
  | 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: 2f0bb0faf2a46ce59e7a089bff5e0b196e1893ead60c2a575bebd58f356770c3

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "d6604c2f704ba787c9ffea4e9eac9895399e9f267584fd4b8b630e3364ebfd8d",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CL",
      "cs.HC"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2023-06-08T17:59:56Z",
    "title_canon_sha256": "187e285894a4199d28840d0ebb5566a7d28c648887b46f2ec693763c20f54a46"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2306.05425",
    "kind": "arxiv",
    "version": 1
  }
}