Pith Number
pith:72TQVGKP
pith:2019:72TQVGKPW3DXGFUT4IKDEXFHAD
not attested
not anchored
not stored
refs pending
Learning Fully Dense Neural Networks for Image Semantic Segmentation
arxiv:1905.08929 v1 · 2019-05-22 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{72TQVGKPW3DXGFUT4IKDEXFHAD}
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 | 2026-05-17T23:45:24.829492Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fea70a994fb6c7731693e214325ca700f3864a9cc916d098b856a4204d17818d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/72TQVGKPW3DXGFUT4IKDEXFHAD \
| 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: fea70a994fb6c7731693e214325ca700f3864a9cc916d098b856a4204d17818d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "03130f859acc05a87e1cdf0ed77ad323fd9cfaf7eca1403a5c9a0f4cab387679",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-05-22T02:41:53Z",
"title_canon_sha256": "b352a8ce6ef1b80f948f3201edea0b2f872d4d90da3e1cb9acbf383b4341c354"
},
"schema_version": "1.0",
"source": {
"id": "1905.08929",
"kind": "arxiv",
"version": 1
}
}