Pith Number
pith:AWFND2FL
pith:2024:AWFND2FLMG3PEBMAWMPVI3JVD2
not attested
not anchored
not stored
refs pending
Enhancing Fine-grained Image Classification through Attentive Batch Training
arxiv:2412.19606 v1 · 2024-12-27 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AWFND2FLMG3PEBMAWMPVI3JVD2}
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 | 2026-07-05T09:54:38.679328Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
058ad1e8ab61b6f20580b31f546d351ea63914fa802c2f55447a6a66ad06b001
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AWFND2FLMG3PEBMAWMPVI3JVD2 \
| 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: 058ad1e8ab61b6f20580b31f546d351ea63914fa802c2f55447a6a66ad06b001
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "630f4684f5b9ca7a694847c344a7b49a4a133e96d3a1a2b04eb8b23531b1059d",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-12-27T12:07:58Z",
"title_canon_sha256": "9ab650c4a0817ed461255ff0b58b211099abdb6c7652aa5fcb8969ad9c663d17"
},
"schema_version": "1.0",
"source": {
"id": "2412.19606",
"kind": "arxiv",
"version": 1
}
}