Pith Number
pith:DY5UXYEG
pith:2025:DY5UXYEGOZUBN5QSLCTHCQPQPP
not attested
not anchored
not stored
refs pending
LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study
arxiv:2505.19510 v2 · 2025-05-26 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DY5UXYEGOZUBN5QSLCTHCQPQPP}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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4
Citations
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Replications
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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.
Receipt and verification
| First computed | 2026-07-05T11:11:46.655215Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1e3b4be086766816f61258a67141f07be03cfac7c8851ad337d73c02d90d6e34
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DY5UXYEGOZUBN5QSLCTHCQPQPP \
| 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: 1e3b4be086766816f61258a67141f07be03cfac7c8851ad337d73c02d90d6e34
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "330e4781e6838550247bd06f72b11c7737208881089b88b97d05583d500f0fca",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-05-26T04:45:12Z",
"title_canon_sha256": "7bc83eb4d7ae2b3726947b7bd86d295e8cfc1efdf98831a4d5b8d14276eeb3fc"
},
"schema_version": "1.0",
"source": {
"id": "2505.19510",
"kind": "arxiv",
"version": 2
}
}