Pith Number
pith:LLHORFJF
pith:2025:LLHORFJFTBSUCFKHVNGCZ7J7Y4
not attested
not anchored
not stored
refs pending
Perturbative Gradient Training: A novel training paradigm for bridging the gap between deep neural networks and physical reservoir computing
arxiv:2506.04523 v1 · 2025-06-05 · cs.LG · cond-mat.mes-hall · cs.ET · cs.NE · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LLHORFJFTBSUCFKHVNGCZ7J7Y4}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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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.
Receipt and verification
| First computed | 2026-07-05T11:16:15.891474Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5acee895259865411547ab4c2cfd3fc73098b051d53361f914e1621214842409
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LLHORFJFTBSUCFKHVNGCZ7J7Y4 \
| 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: 5acee895259865411547ab4c2cfd3fc73098b051d53361f914e1621214842409
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "316a4954fa8cbf594d87840e2c22b84710f4596942e7097c6a49d86acf7ad99c",
"cross_cats_sorted": [
"cond-mat.mes-hall",
"cs.ET",
"cs.NE",
"physics.comp-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-06-05T00:06:30Z",
"title_canon_sha256": "a4716111cad0c8d0186e482debbc16246062966b1d6dbcadc2554789a6bff07a"
},
"schema_version": "1.0",
"source": {
"id": "2506.04523",
"kind": "arxiv",
"version": 1
}
}