Pith Number
pith:GMTETRMT
pith:2024:GMTETRMTBLSTUJ7VW3DYV3H7HI
not attested
not anchored
not stored
refs pending
Macroscale fracture surface segmentation via semi-supervised learning considering the structural similarity
arxiv:2403.18337 v1 · 2024-03-27 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GMTETRMTBLSTUJ7VW3DYV3H7HI}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T08:01:21.325826Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
332649c5930ae53a27f5b6c78aecff3a334289d774a992b90e466102be8a91fa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GMTETRMTBLSTUJ7VW3DYV3H7HI \
| 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: 332649c5930ae53a27f5b6c78aecff3a334289d774a992b90e466102be8a91fa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e5e21b9a8442533d0457880b4ffcf85fc28dcab188e90874a6e3b794e1433efd",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-03-27T08:21:41Z",
"title_canon_sha256": "ca0ccd32b9ed76bc90f9e9530ff59f01d40e200244ad9e9b9dc3b68dd8e6a1c6"
},
"schema_version": "1.0",
"source": {
"id": "2403.18337",
"kind": "arxiv",
"version": 1
}
}