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Pith Number

pith:PFGXRYCC

pith:2019:PFGXRYCCTOP3MTWYDI5EOCH3QB
not attested not anchored not stored refs pending

Industrial Robot Trajectory Tracking Using Multi-Layer Neural Networks Trained by Iterative Learning Control

John T. Wen, Shuyang Chen

arxiv:1903.00082 v2 · 2019-02-28 · cs.RO

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PFGXRYCCTOP3MTWYDI5EOCH3QB}

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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 2026-05-17T23:52:00.803229Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

794d78e0429b9fb64ed81a3a4708fb806475f1efdd48fad44dc9c368bc8e98bb

Aliases

arxiv: 1903.00082 · arxiv_version: 1903.00082v2 · doi: 10.48550/arxiv.1903.00082 · pith_short_12: PFGXRYCCTOP3 · pith_short_16: PFGXRYCCTOP3MTWY · pith_short_8: PFGXRYCC
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PFGXRYCCTOP3MTWYDI5EOCH3QB \
  | 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: 794d78e0429b9fb64ed81a3a4708fb806475f1efdd48fad44dc9c368bc8e98bb
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "1eda70dec6545a5203a383992610e4f68b1bcf67f48ea2d044e5c849c76bc284",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.RO",
    "submitted_at": "2019-02-28T21:57:30Z",
    "title_canon_sha256": "24310943d882886134b6a59436c37edc9cf92d940c1863356304ac7c1a8cec11"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1903.00082",
    "kind": "arxiv",
    "version": 2
  }
}