Pith Number
pith:NXG4DYPD
pith:2024:NXG4DYPDMDFVQJYZQNTNPF2CDU
not attested
not anchored
not stored
refs pending
Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization
arxiv:2411.08148 v1 · 2024-11-12 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NXG4DYPDMDFVQJYZQNTNPF2CDU}
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 | 2026-07-05T09:34:42.066906Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6dcdc1e1e360cb5827198366d797421d052a83375d87e721a8459ec092478459
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NXG4DYPDMDFVQJYZQNTNPF2CDU \
| 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: 6dcdc1e1e360cb5827198366d797421d052a83375d87e721a8459ec092478459
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a38d65c576976feff4f1dbdf13370902afe80c11f37da30ba9662b8f9bebb479",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-11-12T19:55:07Z",
"title_canon_sha256": "4e29573bf4706e6b4b3c7d7886a6b6c408349d050bd62987c3d439e832dc8d39"
},
"schema_version": "1.0",
"source": {
"id": "2411.08148",
"kind": "arxiv",
"version": 1
}
}