Pith Number

pith:G6HQSYRK

pith:2023:G6HQSYRK2RTVQXG7N6PYBYB4G4

not attested not anchored not stored refs pending

FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection

Bingke Jiang, Bing Li, Feiyang Wang, Leqi Geng, Tongkun Liu, Xiao Du, Zhuo Zhao

arxiv:2309.07068 v1 · 2023-09-13 · cs.CV

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{G6HQSYRK2RTVQXG7N6PYBYB4G4}

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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

Feature Perturbation Pool-based Fusion Network for Unified Multi-Class Industrial Defect Detection

Receipt and verification

First computed	2026-07-05T10:30:51.261651Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

378f09622ad467585cdf6f9f80e03c3738f321fcf63aa876760ddb3a83c2c727

Aliases

arxiv: 2309.07068 · arxiv_version: 2309.07068v1 · doi: 10.48550/arxiv.2309.07068 · pith_short_12: G6HQSYRK2RTV · pith_short_16: G6HQSYRK2RTVQXG7 · pith_short_8: G6HQSYRK

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/G6HQSYRK2RTVQXG7N6PYBYB4G4 \
  | 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: 378f09622ad467585cdf6f9f80e03c3738f321fcf63aa876760ddb3a83c2c727

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "db7d1bc8bfc7545d769a0cad64ef325bf9445edcbc1c92c03ce07f1b35e0eb7a",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2023-09-13T16:28:43Z",
    "title_canon_sha256": "f49e1dbd003c1dc32e1d8c8b694d5de29734085985d3e8ce038088ef6cea89b7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2309.07068",
    "kind": "arxiv",
    "version": 1
  }
}