Pith. sign in
Pith Number

pith:CBGOKHNX

pith:2015:CBGOKHNXMEN5GCVB6TFA7FWMGQ
not attested not anchored not stored refs pending

Deep Learning for Medical Image Segmentation

Matthew Lai

arxiv:1505.02000 v1 · 2015-05-08 · cs.LG · cs.AI · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CBGOKHNXMEN5GCVB6TFA7FWMGQ}

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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

Receipt and verification
First computed 2026-05-18T02:16:38.211490Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

104ce51db7611bd30aa1f4ca0f96cc341e8b8e870f376b7624e65774463a20e2

Aliases

arxiv: 1505.02000 · arxiv_version: 1505.02000v1 · doi: 10.48550/arxiv.1505.02000 · pith_short_12: CBGOKHNXMEN5 · pith_short_16: CBGOKHNXMEN5GCVB · pith_short_8: CBGOKHNX
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CBGOKHNXMEN5GCVB6TFA7FWMGQ \
  | 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: 104ce51db7611bd30aa1f4ca0f96cc341e8b8e870f376b7624e65774463a20e2
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "555b984c7c02854fa3214652b9eebb36dcfd0d7b86e9843144d419b05bc74bd8",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CV"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2015-05-08T11:35:53Z",
    "title_canon_sha256": "30d25dd8c3cee7d0f25af8b3261068e4c54811687029a83bd95a6f35adde4666"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1505.02000",
    "kind": "arxiv",
    "version": 1
  }
}