Pith Number
pith:N4ALPXPJ
pith:2017:N4ALPXPJM5T4Z25PDS6VJDBGMG
not attested
not anchored
not stored
refs pending
Deep Learning and Conditional Random Fields-based Depth Estimation and Topographical Reconstruction from Conventional Endoscopy
arxiv:1710.11216 v3 · 2017-10-30 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{N4ALPXPJM5T4Z25PDS6VJDBGMG}
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
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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 | 2026-05-18T00:29:24.539690Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6f00b7dde96767ccebaf1cbd548c26618c2dad7b44c19d30015594163d99a84d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N4ALPXPJM5T4Z25PDS6VJDBGMG \
| 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: 6f00b7dde96767ccebaf1cbd548c26618c2dad7b44c19d30015594163d99a84d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9dafa0b6e7d189119800ed7f2a466636ef59e4c2755a0da5ca59feaeef3fb486",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-10-30T19:56:52Z",
"title_canon_sha256": "3136f9225542cfeddb23ed349ef059939c2751e845365cc318a44212fec58f09"
},
"schema_version": "1.0",
"source": {
"id": "1710.11216",
"kind": "arxiv",
"version": 3
}
}