Pith Number
pith:SIPPQCME
pith:2021:SIPPQCMEH6OYJXYTKJRZFG5ISI
not attested
not anchored
not stored
refs pending
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification
arxiv:2110.07097 v1 · 2021-10-14 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SIPPQCMEH6OYJXYTKJRZFG5ISI}
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
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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 | 2026-07-05T03:22:38.737613Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
921ef809843f9d84df135263929ba8922d6ba108b06f2a142ebb4c9e28aea5c0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SIPPQCMEH6OYJXYTKJRZFG5ISI \
| 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: 921ef809843f9d84df135263929ba8922d6ba108b06f2a142ebb4c9e28aea5c0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "19e1e3eb39deef25b5da637c8c82c4ddcf61547c8c73664958c2b8c719b1810a",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-10-14T00:36:02Z",
"title_canon_sha256": "5ca2687044decbe2cc12932d44b89715e70579a5c9431725d1e4bd0179a5476e"
},
"schema_version": "1.0",
"source": {
"id": "2110.07097",
"kind": "arxiv",
"version": 1
}
}