Pith Number

pith:HIF4C7TW

pith:2022:HIF4C7TWEL65JWXMJXKBC4EMUR

not attested not anchored not stored refs pending

Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

David Farhi, Edward J. Hu, Greg Yang, Igor Babuschkin, Jakub Pachocki, Jianfeng Gao, Nick Ryder, Szymon Sidor, Weizhu Chen, XiaoDong Liu

arxiv:2203.03466 v2 · 2022-03-07 · cs.LG · cond-mat.dis-nn · cs.NE

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{HIF4C7TWEL65JWXMJXKBC4EMUR}

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

33 papers in Pith

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors

On the Residual Scaling of Looped Transformers: Stability and Transferability

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning

Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss

Unlocking Feature Learning in Gated Delta Networks at Scale

Receipt and verification

First computed	2026-07-05T04:09:02.576236Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

3a0bc17e7622fdd4daec4dd411708ca4647e9e14ae2082342fe80e16546c8aaa

Aliases

arxiv: 2203.03466 · arxiv_version: 2203.03466v2 · doi: 10.48550/arxiv.2203.03466 · pith_short_12: HIF4C7TWEL65 · pith_short_16: HIF4C7TWEL65JWXM · pith_short_8: HIF4C7TW

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/HIF4C7TWEL65JWXMJXKBC4EMUR \
  | 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: 3a0bc17e7622fdd4daec4dd411708ca4647e9e14ae2082342fe80e16546c8aaa

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "642a7193797b5c515beaaf6ad4a036c12ecdcbc285899beceb0f1a8869583132",
    "cross_cats_sorted": [
      "cond-mat.dis-nn",
      "cs.NE"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2022-03-07T15:37:35Z",
    "title_canon_sha256": "12995e605f7d0abd4b8ec3c27657173aae1dba22b09a0aef0400a4eb703b8e0c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2203.03466",
    "kind": "arxiv",
    "version": 2
  }
}