Pith Number
pith:DKHVAY72
pith:2024:DKHVAY72KX3EGCNI5XR2NIHX2M
not attested
not anchored
not stored
refs pending
Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs
arxiv:2409.19656 v1 · 2024-09-29 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DKHVAY72KX3EGCNI5XR2NIHX2M}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T09:13:20.377126Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1a8f5063fa55f64309a8ede3a6a0f7d32a153749917362353f885c3ee7f76970
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DKHVAY72KX3EGCNI5XR2NIHX2M \
| 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: 1a8f5063fa55f64309a8ede3a6a0f7d32a153749917362353f885c3ee7f76970
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9299c83b528fd8fb601ab5f1442700c66943c9c05b33d83fbb5de42790815bf1",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-09-29T11:01:14Z",
"title_canon_sha256": "9703d83967e1552826c754be94ba817d74a6e74f8531c79c201d8b6b59b8d5ac"
},
"schema_version": "1.0",
"source": {
"id": "2409.19656",
"kind": "arxiv",
"version": 1
}
}