pith. sign in
Pith Number

pith:RGADXJ3N

pith:2017:RGADXJ3NOLOYPZKYOXES576FWP
not attested not anchored not stored refs pending

Predictive Coding-based Deep Dynamic Neural Network for Visuomotor Learning

Ahmadreza Ahmadi, Jinhyung Kim, Jungsik Hwang, Jun Tani, Minkyu Choi

arxiv:1706.02444 v1 · 2017-06-08 · cs.AI · cs.LG · cs.RO · q-bio.NC

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RGADXJ3NOLOYPZKYOXES576FWP}

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 2026-05-18T00:42:45.429605Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

89803ba76d72dd87e55875c92effc5b3eda3ca72c946d7588bb423a5faf27166

Aliases

arxiv: 1706.02444 · arxiv_version: 1706.02444v1 · doi: 10.48550/arxiv.1706.02444 · pith_short_12: RGADXJ3NOLOY · pith_short_16: RGADXJ3NOLOYPZKY · pith_short_8: RGADXJ3N
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RGADXJ3NOLOYPZKYOXES576FWP \
  | 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: 89803ba76d72dd87e55875c92effc5b3eda3ca72c946d7588bb423a5faf27166
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "e8b5de9c40be51c00e72c48a2cb6f2b01362fa793898030d905041fc2f8246d6",
    "cross_cats_sorted": [
      "cs.LG",
      "cs.RO",
      "q-bio.NC"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2017-06-08T03:29:39Z",
    "title_canon_sha256": "ecd53db11fd9eb6cb9b1e1752539bd2dc4c0b65047b78c88498b1106d8c12d75"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1706.02444",
    "kind": "arxiv",
    "version": 1
  }
}