pith. sign in
Pith Number

pith:E4LDV7MO

pith:2016:E4LDV7MOYRM4DV7AJYC6FQJCEH
not attested not anchored not stored refs pending

Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding

Lina M. Rojas Barahona, Milica Gasic, Nikola Mrk\v{s}i\'c, Pei-Hao Su, Stefan Ultes, Steve Young, Tsung-Hsien Wen

arxiv:1610.04120 v1 · 2016-10-13 · cs.AI · cs.CL · cs.NE

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{E4LDV7MOYRM4DV7AJYC6FQJCEH}

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 2026-05-18T01:02:21.899828Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

27163afd8ec459c1d7e04e05e2c12221ef5dd9b29cbfb6df384fb282c970e74a

Aliases

arxiv: 1610.04120 · arxiv_version: 1610.04120v1 · doi: 10.48550/arxiv.1610.04120 · pith_short_12: E4LDV7MOYRM4 · pith_short_16: E4LDV7MOYRM4DV7A · pith_short_8: E4LDV7MO
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/E4LDV7MOYRM4DV7AJYC6FQJCEH \
  | 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: 27163afd8ec459c1d7e04e05e2c12221ef5dd9b29cbfb6df384fb282c970e74a
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "6dd81d30dab1244222fec2d49b550c0b66ffaa168fe799abe8ff33a075cd5236",
    "cross_cats_sorted": [
      "cs.CL",
      "cs.NE"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2016-10-13T15:11:40Z",
    "title_canon_sha256": "c1d774ad70d57b33a4c72f99350a91cf36ede01d6b9add4edfabaedc17411c3a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1610.04120",
    "kind": "arxiv",
    "version": 1
  }
}