Pith Number
pith:FY5PQRQL
pith:2019:FY5PQRQLRLWSZV24CJ3WENCNIL
not attested
not anchored
not stored
refs pending
A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation
arxiv:1904.10230 v2 · 2019-04-23 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FY5PQRQLRLWSZV24CJ3WENCNIL}
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 | 2026-07-05T03:24:39.037819Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2e3af8460b8aed2cd75c127762344d42e51b7e3194d01181001c5f7b7619895e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FY5PQRQLRLWSZV24CJ3WENCNIL \
| 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: 2e3af8460b8aed2cd75c127762344d42e51b7e3194d01181001c5f7b7619895e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d104902e36dfaea9a7b7591a123a1dcd91aeb16d880b22b124b107c7d41439b8",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-04-23T10:02:39Z",
"title_canon_sha256": "cfafbc3279e0beed1a9eece261f4f5840df4b2cf8d3ad745d3d1df5b15b82952"
},
"schema_version": "1.0",
"source": {
"id": "1904.10230",
"kind": "arxiv",
"version": 2
}
}