Pith Number
pith:PJLR7YHM
pith:2025:PJLR7YHMCEGYLTOBTPWLZXJPIX
not attested
not anchored
not stored
refs pending
Promptception: How Sensitive Are Large Multimodal Models to Prompts?
arxiv:2509.03986 v1 · 2025-09-04 · cs.CV · cs.AI · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PJLR7YHMCEGYLTOBTPWLZXJPIX}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T12:04:51.199610Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7a571fe0ec110d85cdc19becbcdd2f45d2b883abc82ebbbaecbc6fa9f617ac21
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PJLR7YHMCEGYLTOBTPWLZXJPIX \
| 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: 7a571fe0ec110d85cdc19becbcdd2f45d2b883abc82ebbbaecbc6fa9f617ac21
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fddd75dbb09313db81bd9bba2a6f2ecf1c48b80a939c48c8962114d256f7ce06",
"cross_cats_sorted": [
"cs.AI",
"cs.CL",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-09-04T08:13:06Z",
"title_canon_sha256": "eadac637eb68da13373ae92e4ef824fb8244c10123b8b52d21ad086c275dbe75"
},
"schema_version": "1.0",
"source": {
"id": "2509.03986",
"kind": "arxiv",
"version": 1
}
}