Pith Number
pith:F4LM5QR3
pith:2020:F4LM5QR3MRO46ZN2XZ2DHEVEN6
not attested
not anchored
not stored
refs pending
Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing
arxiv:2011.14101 v5 · 2020-11-28 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F4LM5QR3MRO46ZN2XZ2DHEVEN6}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T05:02:52.230226Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2f16cec23b645dcf65babe743392a46fa157ecff9c95f9a4954667e322cff2af
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F4LM5QR3MRO46ZN2XZ2DHEVEN6 \
| 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: 2f16cec23b645dcf65babe743392a46fa157ecff9c95f9a4954667e322cff2af
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c0695fb8340b59b98a725faabd65e1e230f4bcca8a779f2b1ebae7e0a7c8a8db",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-11-28T09:54:44Z",
"title_canon_sha256": "6568746dfbe63cebf2c023847040177066aedf2aa2cf24119f8670555afb89ff"
},
"schema_version": "1.0",
"source": {
"id": "2011.14101",
"kind": "arxiv",
"version": 5
}
}