Pith. sign in
Pith Number

pith:S7T4YBI4

pith:2019:S7T4YBI46YG62SB6K27GWWV33B
not attested not anchored not stored refs pending

Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks

Germain Forestier, Hassan Ismail Fawaz, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

arxiv:1908.07319 v1 · 2019-08-20 · cs.LG · cs.AI · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{S7T4YBI46YG62SB6K27GWWV33B}

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 2026-07-04T23:58:33.233174Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

97e7cc051cf60ded483e56be6b5abbd8537a0f4a3060cde6413934fc6970c496

Aliases

arxiv: 1908.07319 · arxiv_version: 1908.07319v1 · doi: 10.48550/arxiv.1908.07319 · pith_short_12: S7T4YBI46YG6 · pith_short_16: S7T4YBI46YG62SB6 · pith_short_8: S7T4YBI4
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/S7T4YBI46YG62SB6K27GWWV33B \
  | 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: 97e7cc051cf60ded483e56be6b5abbd8537a0f4a3060cde6413934fc6970c496
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "2c6559c3858c1b3500506bae11877d84c13f16a2530f0be7f6aa426777a384a5",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2019-08-20T13:04:05Z",
    "title_canon_sha256": "e2590c368495d489ec526eb6852a17607ae062a10967de819c378d40d00aafcc"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1908.07319",
    "kind": "arxiv",
    "version": 1
  }
}