Pith Number

pith:HTFF3T43

pith:2023:HTFF3T43W7TNEBANMIGH2DQKCX

not attested not anchored not stored refs pending

Generalized Face Forgery Detection via Adaptive Learning for Pre-trained Vision Transformer

Alex C. Kot, Anwei Luo, Chenqi Kong, Jiwu Huang, Rizhao Cai, Xiangui Kang, Yakun Ju

arxiv:2309.11092 v2 · 2023-09-20 · cs.CV · cs.MM

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\usepackage{pith}
\pithnumber{HTFF3T43W7TNEBANMIGH2DQKCX}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ 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

1 paper in Pith

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Receipt and verification

First computed	2026-07-05T08:57:52.471748Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

3cca5dcf9bb7e6d2040d620c7d0e0a15f8ce1765efe53fb44aff05ec9bf6bc70

Aliases

arxiv: 2309.11092 · arxiv_version: 2309.11092v2 · doi: 10.48550/arxiv.2309.11092 · pith_short_12: HTFF3T43W7TN · pith_short_16: HTFF3T43W7TNEBAN · pith_short_8: HTFF3T43

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/HTFF3T43W7TNEBANMIGH2DQKCX \
  | 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: 3cca5dcf9bb7e6d2040d620c7d0e0a15f8ce1765efe53fb44aff05ec9bf6bc70

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "68840c2a8e4a9d7d362ce61c5caea27fe1a4632fe4f0dcd823c99616033469c7",
    "cross_cats_sorted": [
      "cs.MM"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2023-09-20T06:51:11Z",
    "title_canon_sha256": "b9dc74d4202f886c9654e5c0b4ec166c1996029fa1ddec64e8ec0ad9f0b41567"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2309.11092",
    "kind": "arxiv",
    "version": 2
  }
}