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Pith Number

pith:JRE4SFQF

pith:2017:JRE4SFQFHQ4APYNU36BV4DXMPB
not attested not anchored not stored refs pending

Learning neural trans-dimensional random field language models with noise-contrastive estimation

Bin Wang, Zhijian Ou

arxiv:1710.10739 v1 · 2017-10-30 · cs.CL · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JRE4SFQFHQ4APYNU36BV4DXMPB}

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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 2026-05-18T00:31:46.625044Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

4c49c916053c3807e1b4df835e0eec786a5bd1f17a39962acaa76221890d52e3

Aliases

arxiv: 1710.10739 · arxiv_version: 1710.10739v1 · doi: 10.48550/arxiv.1710.10739 · pith_short_12: JRE4SFQFHQ4A · pith_short_16: JRE4SFQFHQ4APYNU · pith_short_8: JRE4SFQF
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JRE4SFQFHQ4APYNU36BV4DXMPB \
  | 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: 4c49c916053c3807e1b4df835e0eec786a5bd1f17a39962acaa76221890d52e3
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "9406e3725dd0290bafeb7d635cc66e2ad3dfa44852bb7ee16acb761da9826b31",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2017-10-30T01:55:10Z",
    "title_canon_sha256": "803dfd3e670d53e076aecf18081e59847fb81a130df8c74cd32df3636f1be5b7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1710.10739",
    "kind": "arxiv",
    "version": 1
  }
}