Pith Number
pith:HSDMF7K5
pith:2025:HSDMF7K5TH43LQ3TO2B6K64KBY
not attested
not anchored
not stored
refs pending
Geometric Visual Fusion Graph Neural Networks for Multi-Person Human-Object Interaction Recognition in Videos
arxiv:2506.03440 v2 · 2025-06-03 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HSDMF7K5TH43LQ3TO2B6K64KBY}
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
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claim
4
Citations
5
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 | 2026-07-05T11:16:36.054246Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3c86c2fd5d99f9b5c3737683e57b8a0e2436163afd3578e58cada401fe7ca4bd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HSDMF7K5TH43LQ3TO2B6K64KBY \
| 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: 3c86c2fd5d99f9b5c3737683e57b8a0e2436163afd3578e58cada401fe7ca4bd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "20d8e81832367b00b378b81c6641fe674a22231dbe862f53d95f7e7f5d1fb20b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-06-03T22:51:44Z",
"title_canon_sha256": "a959028633f740439baf6f7b2f78193669df8a466ceec4db5620b1780db07ae8"
},
"schema_version": "1.0",
"source": {
"id": "2506.03440",
"kind": "arxiv",
"version": 2
}
}