Pith Number
pith:64JGJLLG
pith:2020:64JGJLLGEDR6DQIDUOQH7UTOYF
not attested
not anchored
not stored
refs pending
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization
arxiv:2002.11826 v1 · 2020-02-26 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{64JGJLLGEDR6DQIDUOQH7UTOYF}
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 | 2026-07-05T00:44:09.397670Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f71264ad6620e3e1c103a3a07fd26ec158f2b75c73ac8617362bd5400b37ff6b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/64JGJLLGEDR6DQIDUOQH7UTOYF \
| 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: f71264ad6620e3e1c103a3a07fd26ec158f2b75c73ac8617362bd5400b37ff6b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "50d31c37027ed40340d2921cad1d742c732fcc5f4e3db5154ff69ae9389ba71c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-02-26T22:28:00Z",
"title_canon_sha256": "b9f1b3fdb368b3fe3bc254163dd09799b82e6f5160e4465644bb956cdec60938"
},
"schema_version": "1.0",
"source": {
"id": "2002.11826",
"kind": "arxiv",
"version": 1
}
}