Pith Number
pith:WQI75JI6
pith:2024:WQI75JI6YYXU3EL6BWSH47RV3H
not attested
not anchored
not stored
refs pending
Seg-HGNN: Unsupervised and Light-Weight Image Segmentation with Hyperbolic Graph Neural Networks
arxiv:2409.06589 v1 · 2024-09-10 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WQI75JI6YYXU3EL6BWSH47RV3H}
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 | 2026-07-05T09:05:26.775820Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b411fea51ec62f4d917e0da47e7e35d9c3bb54a0ba67255bfd917990cc440f19
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WQI75JI6YYXU3EL6BWSH47RV3H \
| 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: b411fea51ec62f4d917e0da47e7e35d9c3bb54a0ba67255bfd917990cc440f19
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ae13052d895170ed4a454bb998a1d8c5da2947a94eeda400153ce06b36e979aa",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-09-10T15:30:20Z",
"title_canon_sha256": "54a6de9017fc2e47e6a09fed21d7cffa16dd38decf9f8b885951b95a116c3347"
},
"schema_version": "1.0",
"source": {
"id": "2409.06589",
"kind": "arxiv",
"version": 1
}
}