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Pith Number

pith:CD5ILWIG

pith:2019:CD5ILWIGS3I52CXPSTOAI2H3EM
not attested not anchored not stored refs pending

An Attention-based Recurrent Convolutional Network for Vehicle Taillight Recognition

Adrien Gaidon, Bertrand Douillard, Jia-En M. Pan, Kuan-Hui Lee, Takaaki Tagawa

arxiv:1906.03683 v1 · 2019-06-09 · cs.CV · cs.LG

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 2026-05-17T23:43:45.375436Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

10fa85d90696d1dd0aef94dc0468fb2327469241db9cc063d0f75ed74ae566b8

Aliases

arxiv: 1906.03683 · arxiv_version: 1906.03683v1 · doi: 10.48550/arxiv.1906.03683 · pith_short_12: CD5ILWIGS3I5 · pith_short_16: CD5ILWIGS3I52CXP · pith_short_8: CD5ILWIG
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CD5ILWIGS3I52CXPSTOAI2H3EM \
  | 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: 10fa85d90696d1dd0aef94dc0468fb2327469241db9cc063d0f75ed74ae566b8
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "95f6b3b6f84e85cac11446a61a81f6d342b2b45225499c8a6f02488182f3a4a3",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2019-06-09T18:08:49Z",
    "title_canon_sha256": "3ea489cbca125599dbdb925448850a39dabd6e25209bbed0211e909467aae574"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1906.03683",
    "kind": "arxiv",
    "version": 1
  }
}