Pith Number
pith:AOK6LETR
pith:2020:AOK6LETR6RHBSI6XUTZRC332VH
not attested
not anchored
not stored
refs pending
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
arxiv:2011.12885 v1 · 2020-11-25 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AOK6LETR6RHBSI6XUTZRC332VH}
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 | 2026-07-05T01:54:37.683304Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0395e59271f44e1923d7a4f3116f7aa9fe587a8f3df83d9d83555a421ef60265
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AOK6LETR6RHBSI6XUTZRC332VH \
| 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: 0395e59271f44e1923d7a4f3116f7aa9fe587a8f3df83d9d83555a421ef60265
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fc683d4552f7570e4e76c776f8df60af4374cab3015776599760680e3261f0a9",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-11-25T17:06:37Z",
"title_canon_sha256": "05c75f210d545729b11e8169c4982841e2e0e880896529ae8c13ec83e79bd423"
},
"schema_version": "1.0",
"source": {
"id": "2011.12885",
"kind": "arxiv",
"version": 1
}
}