Pith Number
pith:FDZWHDXG
pith:2026:FDZWHDXGOITF4NBPZGAB7UNL2I
not attested
not anchored
not stored
refs pending
Towards Fine-Grained Robustness: Attention-Guided Test-Time Prompt Tuning for Vision-Language Models
arxiv:2605.19956 v1 · 2026-05-19 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FDZWHDXGOITF4NBPZGAB7UNL2I}
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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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 | 2026-05-20T02:05:56.912852Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
28f3638ee672265e342fc9801fd1abd21c4be0b97025fe31907b027c6860fc7a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FDZWHDXGOITF4NBPZGAB7UNL2I \
| 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: 28f3638ee672265e342fc9801fd1abd21c4be0b97025fe31907b027c6860fc7a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "39df0c9b2f03becc21cb33a2fdb2bb720a60d669bdc6d2bf388aaea08630d8d7",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-05-19T15:10:06Z",
"title_canon_sha256": "195fe50c07820ba173f209146d16f78db8d8b68bc9c5256dfd37707ea1b62996"
},
"schema_version": "1.0",
"source": {
"id": "2605.19956",
"kind": "arxiv",
"version": 1
}
}