Pith Number
pith:FAGMHV7K
pith:2025:FAGMHV7K7VJSNZ7KNI7MMBWR2U
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refs pending
DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models
arxiv:2505.19373 v1 · 2025-05-26 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FAGMHV7K7VJSNZ7KNI7MMBWR2U}
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 | 2026-07-05T11:09:29.280128Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
280cc3d7eafd5326e7ea6a3ec606d1d53ecdc83ed2ff9ab4bfb735a7c4282e08
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FAGMHV7K7VJSNZ7KNI7MMBWR2U \
| 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: 280cc3d7eafd5326e7ea6a3ec606d1d53ecdc83ed2ff9ab4bfb735a7c4282e08
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c852acdae419937c7c0033b2257b77f6686afcfd34320c612f278e27d1adf302",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-05-26T00:14:52Z",
"title_canon_sha256": "5743cd3834be5bef96b52863d6425055e3c3a0c8c1e78767b71fd4d82dbcf142"
},
"schema_version": "1.0",
"source": {
"id": "2505.19373",
"kind": "arxiv",
"version": 1
}
}