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Pith Number

pith:SH7MHPCT

pith:2017:SH7MHPCTTQOX2VHW2HUJU5JAYW
not attested not anchored not stored refs pending

On human motion prediction using recurrent neural networks

Javier Romero, Julieta Martinez, Michael J. Black

arxiv:1705.02445 v1 · 2017-05-06 · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SH7MHPCTTQOX2VHW2HUJU5JAYW}

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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 2026-05-18T00:44:56.525574Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

91fec3bc539c1d7d54f6d1e89a7520c5856ca5d56e124f95ce293f455664eb9a

Aliases

arxiv: 1705.02445 · arxiv_version: 1705.02445v1 · doi: 10.48550/arxiv.1705.02445 · pith_short_12: SH7MHPCTTQOX · pith_short_16: SH7MHPCTTQOX2VHW · pith_short_8: SH7MHPCT
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SH7MHPCTTQOX2VHW2HUJU5JAYW \
  | 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: 91fec3bc539c1d7d54f6d1e89a7520c5856ca5d56e124f95ce293f455664eb9a
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "6cc993f12486a6ea4c65be2c22e75cbd79df6dfd852268975bb6f4ef09a0cb9e",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2017-05-06T05:08:05Z",
    "title_canon_sha256": "5a93a1e05cb98afbd56b924d6f9de0e0e7b8501146f3987c99f6c2992f8e8209"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1705.02445",
    "kind": "arxiv",
    "version": 1
  }
}