Pith Number

pith:VU46NWR7

pith:2019:VU46NWR7H5FJSR3SIQFJGHBWYM

not attested not anchored not stored refs pending

Multi-Channel Neural Network for Assessing Neonatal Pain from Videos

Dmitry Goldgof, Ghada Zamzmi, Md Sirajus Salekin, Rangachar Kasturi, Thao Ho, Yu Sun

arxiv:1908.09254 v1 · 2019-08-25 · cs.CV

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{VU46NWR7H5FJSR3SIQFJGHBWYM}

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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

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound

Receipt and verification

First computed	2026-07-05T00:50:04.387121Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

ad39e6da3f3f4a994772440a931c36c308da0ad4672ee4aa32ee9102d4ee1106

Aliases

arxiv: 1908.09254 · arxiv_version: 1908.09254v1 · doi: 10.48550/arxiv.1908.09254 · pith_short_12: VU46NWR7H5FJ · pith_short_16: VU46NWR7H5FJSR3S · pith_short_8: VU46NWR7

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/VU46NWR7H5FJSR3SIQFJGHBWYM \
  | 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: ad39e6da3f3f4a994772440a931c36c308da0ad4672ee4aa32ee9102d4ee1106

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "c81b7b45dac03c0fda79d47ff678f8e9aba9bf24e2555f7ae38364740375bec3",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2019-08-25T05:51:54Z",
    "title_canon_sha256": "57c01b9f41779c4648488fad89e57757e0d2e99d467a5f83640c2b24dd39f7ab"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1908.09254",
    "kind": "arxiv",
    "version": 1
  }
}