Pith Number
pith:MXXLFBRB
pith:2025:MXXLFBRBXGXVWJDWTUH5JPBNRI
not attested
not anchored
not stored
refs pending
Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models
arxiv:2501.07396 v1 · 2025-01-13 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MXXLFBRBXGXVWJDWTUH5JPBNRI}
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.
Receipt and verification
| First computed | 2026-07-05T10:00:20.141125Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
65eeb28621b9af5b24769d0fd4bc2d8a1bcfc631f4134cf2bafc67e259994b96
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MXXLFBRBXGXVWJDWTUH5JPBNRI \
| 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: 65eeb28621b9af5b24769d0fd4bc2d8a1bcfc631f4134cf2bafc67e259994b96
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5e3c5a7ef3ee966cc40a28154f0f7b3b9afd025adb88642f58322d6416a644f8",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-01-13T15:11:27Z",
"title_canon_sha256": "01c7388b673d535444e78ea7a216048e8481b54599684db67a9c9f79106f558a"
},
"schema_version": "1.0",
"source": {
"id": "2501.07396",
"kind": "arxiv",
"version": 1
}
}