Pith Number
pith:IWDTU5J5
pith:2024:IWDTU5J5LORJ6HDL5MIVAH7V5T
not attested
not anchored
not stored
refs pending
Detecting Multimedia Generated by Large AI Models: A Survey
arxiv:2402.00045 v7 · 2024-01-22 · cs.MM · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IWDTU5J5LORJ6HDL5MIVAH7V5T}
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 | 2026-07-05T11:43:27.389218Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
45873a753d5ba29f1c6beb11501ff5ecfe5c3eac304824413f66e66d7eba28b2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IWDTU5J5LORJ6HDL5MIVAH7V5T \
| 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: 45873a753d5ba29f1c6beb11501ff5ecfe5c3eac304824413f66e66d7eba28b2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6df0e13593e9f30354018d7f6d3dbd94a922a97669d817b6813a09eae168aa19",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.MM",
"submitted_at": "2024-01-22T15:08:19Z",
"title_canon_sha256": "25d6b48dcdef3fd60ab121db64ff792d997b473cbbe05673ba225a37cdc9e61a"
},
"schema_version": "1.0",
"source": {
"id": "2402.00045",
"kind": "arxiv",
"version": 7
}
}