Pith Number
pith:HAN4EHRJ
pith:2019:HAN4EHRJMOCHXEWLRUDC4COKYW
not attested
not anchored
not stored
refs pending
Explicit topological priors for deep-learning based image segmentation using persistent homology
arxiv:1901.10244 v1 · 2019-01-29 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HAN4EHRJMOCHXEWLRUDC4COKYW}
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.
Cited by
Receipt and verification
| First computed | 2026-05-17T23:55:15.756229Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
381bc21e2963847b92cb8d062e09cac5ad9f0579738705e1f64460b4a38b7ba8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HAN4EHRJMOCHXEWLRUDC4COKYW \
| 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: 381bc21e2963847b92cb8d062e09cac5ad9f0579738705e1f64460b4a38b7ba8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "da41d351a46cbb6380960bd10f084d7e39afeb823a781bce36e69d3b93a1875a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-01-29T12:11:55Z",
"title_canon_sha256": "3a38f40ec9c7b4774478c82bcf715d32a1c48761200f0fd7ad0656ba45b10c5b"
},
"schema_version": "1.0",
"source": {
"id": "1901.10244",
"kind": "arxiv",
"version": 1
}
}