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Pith Number

pith:JCGQ4D7A

pith:2017:JCGQ4D7AF6WFNKNKJMQY6GZTHD
not attested not anchored not stored refs pending

Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision

Aliaksei Severyn, Jaap Kamps, Mostafa Dehghani, Sascha Rothe

arxiv:1711.00313 v2 · 2017-11-01 · cs.LG · cs.CL · cs.NE · stat.ML

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 2026-05-18T00:28:34.789041Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

488d0e0fe02fac56a9aa4b218f1b3338c62b7b3cdc609b0d972686576291d73c

Aliases

arxiv: 1711.00313 · arxiv_version: 1711.00313v2 · doi: 10.48550/arxiv.1711.00313 · pith_short_12: JCGQ4D7AF6WF · pith_short_16: JCGQ4D7AF6WFNKNK · pith_short_8: JCGQ4D7A
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JCGQ4D7AF6WFNKNKJMQY6GZTHD \
  | 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: 488d0e0fe02fac56a9aa4b218f1b3338c62b7b3cdc609b0d972686576291d73c
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "e7b3f62ca27f7c7914d17ccf5d022d3aad392ff4bb49fcee6f51ccd9cee7e01f",
    "cross_cats_sorted": [
      "cs.CL",
      "cs.NE",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2017-11-01T12:38:59Z",
    "title_canon_sha256": "2f698710bb26b17c74cfe5ebf7b44d41c44e3c7620778d0b8b080242b2b6a041"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1711.00313",
    "kind": "arxiv",
    "version": 2
  }
}