Pith Number

pith:JZS2MP3C

pith:2023:JZS2MP3CGA5MN54W3GBYT5MMZH

not attested not anchored not stored refs pending

Optimal Linear Decay Learning Rate Schedules and Further Refinements

Aaron Defazio, Ashok Cutkosky, Harsh Mehta, Konstantin Mishchenko

arxiv:2310.07831 v2 · 2023-10-11 · cs.LG · cs.AI · stat.ML

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{JZS2MP3CGA5MN54W3GBYT5MMZH}

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

5 papers in Pith

Convergence of Continual Learning in Homogeneous Deep Networks

Taking the Road Less Scheduled with Adaptive Polyak Steps

Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model

Last Iterate Convergence of AdaGrad-Norm for Convex Non-Smooth Optimization

A Closed-Form Upper Bound for Admissible Learning-Rate Steps in Belief-Space Dynamics

Receipt and verification

First computed	2026-07-05T09:28:09.559987Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

4e65a63f62303ac6f796d98389f58cc9f2bf780cae6bf50d7d260ab6440e76db

Aliases

arxiv: 2310.07831 · arxiv_version: 2310.07831v2 · doi: 10.48550/arxiv.2310.07831 · pith_short_12: JZS2MP3CGA5M · pith_short_16: JZS2MP3CGA5MN54W · pith_short_8: JZS2MP3C

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/JZS2MP3CGA5MN54W3GBYT5MMZH \
  | 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: 4e65a63f62303ac6f796d98389f58cc9f2bf780cae6bf50d7d260ab6440e76db

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "106fa98131f18ef3b2ef73b1c7c9ca453ed1face29f9bee8d4a5baa19285d8c5",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-10-11T19:16:35Z",
    "title_canon_sha256": "498a187027c6a815409477cb36d00ec5349faa9e68d5816cebf1f550d20592aa"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2310.07831",
    "kind": "arxiv",
    "version": 2
  }
}