Pith Number

pith:ZEHUMQBG

pith:2025:ZEHUMQBGWTAOGNWRKJR6GNVFAL

not attested not anchored not stored refs pending

Optimizing ML Training with Metagradient Descent

Aleksander Madry, Andrew Ilyas, Axel Feldmann, Benjamin Chen, Logan Engstrom, William Moses

arxiv:2503.13751 v1 · 2025-03-17 · stat.ML · cs.AI · cs.LG

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{ZEHUMQBGWTAOGNWRKJR6GNVFAL}

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

6 papers in Pith

Bergson: An Open Source Library for Data Attribution

On the Accuracy of Newton Step and Influence Function Data Attributions

Efficient Estimation of Kernel Surrogate Models for Task Attribution

NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training

Generalization Guarantees on Data-Driven Tuning of Gradient Descent with Langevin Updates

Receipt and verification

First computed	2026-07-05T10:33:17.505834Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c90f464026b4c0e336d15263e336a502dc69f7a13e84493e341c3609b0d2034f

Aliases

arxiv: 2503.13751 · arxiv_version: 2503.13751v1 · doi: 10.48550/arxiv.2503.13751 · pith_short_12: ZEHUMQBGWTAO · pith_short_16: ZEHUMQBGWTAOGNWR · pith_short_8: ZEHUMQBG

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZEHUMQBGWTAOGNWRKJR6GNVFAL \
  | 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: c90f464026b4c0e336d15263e336a502dc69f7a13e84493e341c3609b0d2034f

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "a9365b85a1c053fc4e8a64bab60357a6aa02c93a7be73162f5006c0626021f84",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2025-03-17T22:18:24Z",
    "title_canon_sha256": "cf531c486802bb534cfbe16b16bc4396b978e62f8d535abd7567913fec3876af"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2503.13751",
    "kind": "arxiv",
    "version": 1
  }
}