Pith Number
pith:USXNLLH2
pith:2025:USXNLLH2GN7FONGISD4CPHX7B7
not attested
not anchored
not stored
refs pending
A model-agnostic active learning approach for animal detection from camera traps
arxiv:2507.06537 v1 · 2025-07-09 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{USXNLLH2GN7FONGISD4CPHX7B7}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:34:18.076669Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a4aed5acfa337e5734c890f8279eff0fcad4beeea6da012657d5251d0ed84656
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/USXNLLH2GN7FONGISD4CPHX7B7 \
| 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: a4aed5acfa337e5734c890f8279eff0fcad4beeea6da012657d5251d0ed84656
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6891a42adbd1e1488b9f46321d3785b4120306b8f28cd5c2ac978243f7d3321c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-07-09T04:36:59Z",
"title_canon_sha256": "e13b69c984607a1a58e5e1fbb42d6ee4cf4483ed0cf478ba7952601d672ada16"
},
"schema_version": "1.0",
"source": {
"id": "2507.06537",
"kind": "arxiv",
"version": 1
}
}