Pith Number

pith:IOO2J7GW

pith:2025:IOO2J7GWYQPU26JIXSKN2SZRNI

not attested not anchored not stored refs pending

VLIPP: Towards Physically Plausible Video Generation with Vision and Language Informed Physical Prior

Baolu Li, Huchuan Lu, Jianfei Cai, Lei Bai, Liqian Ma, Tien-Tsin Wong, Xindi Yang, Xu Jia, Yiming Zhang, Zhenfei Yin, Zhiyong Wang

arxiv:2503.23368 v3 · 2025-03-30 · cs.CV · cs.AI

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{IOO2J7GWYQPU26JIXSKN2SZRNI}

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

6 papers in Pith

Physics Question Scene Graph: Fine-grained Evaluation of Physical Plausibility in Text-to-Video Generation

OptiWorld: Optimal Control for Video World Generation under Physical Constraints

Self-Refining Video Sampling

Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving

Receipt and verification

First computed	2026-07-05T10:44:23.455299Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

439da4fcd6c41f4d7928bc94dd4b316a041b9f9dc02933026a864aa1e3c12f56

Aliases

arxiv: 2503.23368 · arxiv_version: 2503.23368v3 · doi: 10.48550/arxiv.2503.23368 · pith_short_12: IOO2J7GWYQPU · pith_short_16: IOO2J7GWYQPU26JI · pith_short_8: IOO2J7GW

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/IOO2J7GWYQPU26JIXSKN2SZRNI \
  | 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: 439da4fcd6c41f4d7928bc94dd4b316a041b9f9dc02933026a864aa1e3c12f56

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "bbdf2e938eec70eb11509b048dbd84ea8aa019370d94729ade3e560757ed2d53",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-03-30T09:03:09Z",
    "title_canon_sha256": "c6aecad14a08dec0611180806685fa85a9ebf6c8c508b90f3b0b1a29dc7f739a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2503.23368",
    "kind": "arxiv",
    "version": 3
  }
}