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Pith Number

pith:UC6D6IGH

pith:2025:UC6D6IGHMWV4LTLBB6CAPK24ZD
not attested not anchored not stored refs pending

Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection

Florent Autrusseau, Rafic Nader, Romain Bourcier, Vincent L'Allinec

arxiv:2507.02349 v1 · 2025-07-03 · cs.CV · cs.AI

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\usepackage{pith}
\pithnumber{UC6D6IGHMWV4LTLBB6CAPK24ZD}

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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 2026-07-05T11:31:16.415235Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

a0bc3f20c765abc5cd610f8407ab5cc8ee9132bdeded39bc4363cea7ad0efcec

Aliases

arxiv: 2507.02349 · arxiv_version: 2507.02349v1 · doi: 10.48550/arxiv.2507.02349 · pith_short_12: UC6D6IGHMWV4 · pith_short_16: UC6D6IGHMWV4LTLB · pith_short_8: UC6D6IGH
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UC6D6IGHMWV4LTLBB6CAPK24ZD \
  | 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: a0bc3f20c765abc5cd610f8407ab5cc8ee9132bdeded39bc4363cea7ad0efcec
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "94d228602062294e3e7dfaf2ab31662752342b61e8459e181896a6ee2bcc27d1",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-07-03T06:23:38Z",
    "title_canon_sha256": "ec503185676eba9d47e19efd4099162a7d9b7f367cddb82ea0092c2ae04592d4"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2507.02349",
    "kind": "arxiv",
    "version": 1
  }
}