Pith Number
pith:57OFR37V
pith:2024:57OFR37VUGR2LT25XAXWQP6ANQ
not attested
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refs pending
Geometric Dynamics of Signal Propagation Predict Trainability of Transformers
arxiv:2403.02579 v1 · 2024-03-05 · cond-mat.dis-nn · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{57OFR37VUGR2LT25XAXWQP6ANQ}
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Record completeness
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Citations
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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.
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Receipt and verification
| First computed | 2026-07-05T07:52:19.264630Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
efdc58eff5a1a3a5cf5db82f683fc06c15df63955a2c6b3411d48789e99a2c50
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/57OFR37VUGR2LT25XAXWQP6ANQ \
| 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: efdc58eff5a1a3a5cf5db82f683fc06c15df63955a2c6b3411d48789e99a2c50
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3462621975d18470d7e48bd99b7136a9f506e194b6cc9ad4cc4b13c8341b35dd",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cond-mat.dis-nn",
"submitted_at": "2024-03-05T01:30:34Z",
"title_canon_sha256": "e1eb54b47da5b2ea1ae41e5c12f1e05bd904c7c2af09afe067539add86f3e767"
},
"schema_version": "1.0",
"source": {
"id": "2403.02579",
"kind": "arxiv",
"version": 1
}
}