Pith Number

pith:5TTQIQAV

pith:2024:5TTQIQAVBONAXXW4JW74AZCE33

not attested not anchored not stored refs pending

Temporal Insight Enhancement: Mitigating Temporal Hallucination in Multimodal Large Language Models

Jun Sun, Li Sun, Liuan Wang, Takayuki Okatani

arxiv:2401.09861 v1 · 2024-01-18 · cs.CV · cs.AI

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{5TTQIQAVBONAXXW4JW74AZCE33}

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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.

Cited by

1 paper in Pith

Can Multimodal LLMs do Visual Temporal Understanding and Reasoning? The answer is No!

Receipt and verification

First computed	2026-07-05T07:35:03.411140Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

ece70440150b9a0bdedc4dbfc06444defd18b2f2e60a8ae32d03a912a176275f

Aliases

arxiv: 2401.09861 · arxiv_version: 2401.09861v1 · doi: 10.48550/arxiv.2401.09861 · pith_short_12: 5TTQIQAVBONA · pith_short_16: 5TTQIQAVBONAXXW4 · pith_short_8: 5TTQIQAV

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/5TTQIQAVBONAXXW4JW74AZCE33 \
  | 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: ece70440150b9a0bdedc4dbfc06444defd18b2f2e60a8ae32d03a912a176275f

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "563386353107aaf36a04d485827633a94ec8a197c2460ee369b41f84f2169de1",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2024-01-18T10:18:48Z",
    "title_canon_sha256": "5a1d1a23fe61915ac8690df4af4024bb791e9736e3512eb2aa62349606e9179c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2401.09861",
    "kind": "arxiv",
    "version": 1
  }
}