Pith Number

pith:T6SGQEKC

pith:2023:T6SGQEKCVAN32C74OGYHSQW5PZ

not attested not anchored not stored refs pending

Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks

Sijia Liu, Xinling Yu, Yequan Zhao, Zheng Zhang, Zhixiong Chen, Ziyue Liu

arxiv:2308.09858 v2 · 2023-08-18 · cs.LG · cs.AI

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{T6SGQEKCVAN32C74OGYHSQW5PZ}

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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.

Cited by

3 papers in Pith

ZOAF: Towards Efficient Zeroth-Order Optimization for Analog/RF Circuit Design

GRZO: Group-Relative Zeroth-Order Optimization for Large Language Model Fine-Tuning

Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered

Receipt and verification

First computed	2026-07-05T06:58:59.025688Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

9fa4681142a81bbd0bfc71b07942dd7e443a334fca529dd00c436bbf33b84084

Aliases

arxiv: 2308.09858 · arxiv_version: 2308.09858v2 · doi: 10.48550/arxiv.2308.09858 · pith_short_12: T6SGQEKCVAN3 · pith_short_16: T6SGQEKCVAN32C74 · pith_short_8: T6SGQEKC

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/T6SGQEKCVAN32C74OGYHSQW5PZ \
  | 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: 9fa4681142a81bbd0bfc71b07942dd7e443a334fca529dd00c436bbf33b84084

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "6a0c08455137dbd0f4c20b834b456469d363bc4fa9201f753e1cc6c5ba35cb97",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-08-18T23:56:50Z",
    "title_canon_sha256": "08497e4906428224167b6cce555012b9e8e74dc4cf14595adc75f012b996236a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2308.09858",
    "kind": "arxiv",
    "version": 2
  }
}