Pith Number

pith:6YQGFKSB

pith:2019:6YQGFKSBK56DB7KCE2OQEB7ANG

not attested not anchored not stored refs pending

Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging

Anusha Vupputuri, Debdoot Sheet, Nirmalya Ghosh, Rachana Sathish, Ronnie Rajan

arxiv:1908.01176 v1 · 2019-08-03 · eess.IV · cs.LG · stat.ML

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{6YQGFKSBK56DB7KCE2OQEB7ANG}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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	2026-07-04T23:51:27.747626Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f62062aa41577c30fd42269d0207e0698b5f6d74a5cb3d8c26a69f1f4cc5de07

Aliases

arxiv: 1908.01176 · arxiv_version: 1908.01176v1 · doi: 10.48550/arxiv.1908.01176 · pith_short_12: 6YQGFKSBK56D · pith_short_16: 6YQGFKSBK56DB7KC · pith_short_8: 6YQGFKSB

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/6YQGFKSBK56DB7KCE2OQEB7ANG \
  | 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: f62062aa41577c30fd42269d0207e0698b5f6d74a5cb3d8c26a69f1f4cc5de07

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "e75d81bd7c405d2b968b2e6fb814f58aefac15d3e7ff3a49168c38058a24e27e",
    "cross_cats_sorted": [
      "cs.LG",
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "eess.IV",
    "submitted_at": "2019-08-03T13:48:27Z",
    "title_canon_sha256": "aca69ac896fa779e570af828c74cdabf490e67ac274c47c4f281656f2ff2c245"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1908.01176",
    "kind": "arxiv",
    "version": 1
  }
}