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Pith Number

pith:EDIDYICA

pith:2016:EDIDYICA77PZ4RYAL4AXQMNIE4
not attested not anchored not stored refs pending

Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video

Fei Su, Guoying Zhao, Jing Zhou, Xiaopeng Hong

arxiv:1605.00894 v1 · 2016-05-03 · cs.CV

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\usepackage{pith}
\pithnumber{EDIDYICA77PZ4RYAL4AXQMNIE4}

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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 2026-05-18T01:15:47.719229Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

20d03c2040ffdf9e47005f017831a82729e0254a233ef4ceadf89b05a7d3c105

Aliases

arxiv: 1605.00894 · arxiv_version: 1605.00894v1 · doi: 10.48550/arxiv.1605.00894 · pith_short_12: EDIDYICA77PZ · pith_short_16: EDIDYICA77PZ4RYA · pith_short_8: EDIDYICA
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EDIDYICA77PZ4RYAL4AXQMNIE4 \
  | 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: 20d03c2040ffdf9e47005f017831a82729e0254a233ef4ceadf89b05a7d3c105
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "4323d1c762e22ad1d4294b8625381fe1feb03bcd21803f3be30c74addebc7867",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2016-05-03T13:17:03Z",
    "title_canon_sha256": "adebd5ddeea0ea9044bf9955661daa63995b6f8bcaf7fce861ebd1e2617d75a1"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1605.00894",
    "kind": "arxiv",
    "version": 1
  }
}