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Pith Number

pith:GKM36CFK

pith:2015:GKM36CFKE3WUMH5WG4VYTUS4F6
not attested not anchored not stored refs pending

Learning from Real Users: Rating Dialogue Success with Neural Networks for Reinforcement Learning in Spoken Dialogue Systems

David Vandyke, Dongho Kim, Milica Gasic, Nikola Mrksic, Pei-Hao Su, Steve Young, Tsung-Hsien Wen

arxiv:1508.03386 v1 · 2015-08-13 · cs.LG · cs.CL

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GKM36CFKE3WUMH5WG4VYTUS4F6}

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 2026-05-18T01:35:17.953153Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

3299bf08aa26ed461fb6372b89d25c2fa9ad7c7f04e8f9600ff864fbe3b9a6c6

Aliases

arxiv: 1508.03386 · arxiv_version: 1508.03386v1 · doi: 10.48550/arxiv.1508.03386 · pith_short_12: GKM36CFKE3WU · pith_short_16: GKM36CFKE3WUMH5W · pith_short_8: GKM36CFK
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GKM36CFKE3WUMH5WG4VYTUS4F6 \
  | 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: 3299bf08aa26ed461fb6372b89d25c2fa9ad7c7f04e8f9600ff864fbe3b9a6c6
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "8c909ca222114a378c49555def2222ea663c30db69af20a58f1c33857b5a56f4",
    "cross_cats_sorted": [
      "cs.CL"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2015-08-13T23:44:03Z",
    "title_canon_sha256": "dbc50ca39f41c18f19c30c2ab56ebe7ef925119e58dd943ca6510c6f172ba794"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1508.03386",
    "kind": "arxiv",
    "version": 1
  }
}