pith. sign in
Pith Number

pith:BW5XSFWW

pith:2017:BW5XSFWW3LG3T3Z7YL2ER7LSV3
not attested not anchored not stored refs pending

Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks

Aaron Courville, Cesar Laurent Yoshua Bengio, Mohammad Pezeshki, Philemon Brakel, Saizheng Zhang, Ying Zhang

arxiv:1701.02720 v1 · 2017-01-10 · cs.CL · cs.LG · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BW5XSFWW3LG3T3Z7YL2ER7LSV3}

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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-05-18T00:53:03.577755Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

0dbb7916d6dacdb9ef3fc2f448fd72aec2fa8c6a4435d9c5df3524edb76c2ce4

Aliases

arxiv: 1701.02720 · arxiv_version: 1701.02720v1 · doi: 10.48550/arxiv.1701.02720 · pith_short_12: BW5XSFWW3LG3 · pith_short_16: BW5XSFWW3LG3T3Z7 · pith_short_8: BW5XSFWW
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BW5XSFWW3LG3T3Z7YL2ER7LSV3 \
  | 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: 0dbb7916d6dacdb9ef3fc2f448fd72aec2fa8c6a4435d9c5df3524edb76c2ce4
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "8e2b2d281b6cb9f0078e4cd97c600084a64c5dbe227dbf2abe933493852d6eaf",
    "cross_cats_sorted": [
      "cs.LG",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2017-01-10T18:30:11Z",
    "title_canon_sha256": "98b579251ee164f3be33f56310a9cbe09e9e17d334d2a15ef1959bb93d47f60d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1701.02720",
    "kind": "arxiv",
    "version": 1
  }
}