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Pith Number

pith:4LOYJTZY

pith:2018:4LOYJTZYENBLNJVHB4Y74CTLHS
not attested not anchored not stored refs pending

Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection

Dayan Guan, Jun Liang, Michael Ying Yang, Yanlong Cao, Yanpeng Cao

arxiv:1802.09972 v1 · 2018-02-27 · cs.CV

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\usepackage{pith}
\pithnumber{4LOYJTZYENBLNJVHB4Y74CTLHS}

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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.
Receipt and verification
First computed 2026-05-18T00:22:21.737748Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

e2dd84cf382342b6a6a70f31fe0a6b3c919966f0b931e65bc56dbbf9378bb8c6

Aliases

arxiv: 1802.09972 · arxiv_version: 1802.09972v1 · doi: 10.48550/arxiv.1802.09972 · pith_short_12: 4LOYJTZYENBL · pith_short_16: 4LOYJTZYENBLNJVH · pith_short_8: 4LOYJTZY
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4LOYJTZYENBLNJVHB4Y74CTLHS \
  | 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: e2dd84cf382342b6a6a70f31fe0a6b3c919966f0b931e65bc56dbbf9378bb8c6
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "b5a254db21847dfc0758a5902208b4db90511d1e63fe8effad0570e2b19028bd",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2018-02-27T15:42:40Z",
    "title_canon_sha256": "165188738ddc625a71d84d60e7a7b660dee4df815c95592dac7832b59e08b4a6"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1802.09972",
    "kind": "arxiv",
    "version": 1
  }
}