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Pith Number

pith:IITVCRQV

pith:2020:IITVCRQVG2MS5SDPU5ZM5U74Y7
not attested not anchored not stored refs pending

A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning

Ankur Sinha, Raja Mohanty, Tanmay Khandait

arxiv:2007.11022 v1 · 2020-07-21 · cs.LG · stat.ML

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\usepackage{pith}
\pithnumber{IITVCRQVG2MS5SDPU5ZM5U74Y7}

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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.

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1 paper in Pith

Receipt and verification
First computed 2026-07-05T01:21:21.775022Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

422751461536992ec86fa772ced3fcc7f2cf437d82a8d1a8bcd42b75e3686ff6

Aliases

arxiv: 2007.11022 · arxiv_version: 2007.11022v1 · doi: 10.48550/arxiv.2007.11022 · pith_short_12: IITVCRQVG2MS · pith_short_16: IITVCRQVG2MS5SDP · pith_short_8: IITVCRQV
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IITVCRQVG2MS5SDPU5ZM5U74Y7 \
  | 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: 422751461536992ec86fa772ced3fcc7f2cf437d82a8d1a8bcd42b75e3686ff6
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "f9b5888affb907efafeade231f7a9558d1d5acf1b50fd3fe72be4ab43c39d7ce",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2020-07-21T18:15:08Z",
    "title_canon_sha256": "3ed6c11e729a31607b763f237799c9e9aceb3b37b67eaff46ed373e3eeeadf16"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2007.11022",
    "kind": "arxiv",
    "version": 1
  }
}