Pith Number
pith:PHQJGO4L
pith:2021:PHQJGO4L6FKGH7B2GC4R7FUKLY
not attested
not anchored
not stored
refs pending
Tensor Programs IIb: Architectural Universality of Neural Tangent Kernel Training Dynamics
arxiv:2105.03703 v1 · 2021-05-08 · cs.LG · cs.NE · math.PR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PHQJGO4L6FKGH7B2GC4R7FUKLY}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T02:38:38.194183Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
79e0933b8bf15463fc3a30b91f968a5e1446b04b77e0613e5fb2df9971cace68
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PHQJGO4L6FKGH7B2GC4R7FUKLY \
| 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: 79e0933b8bf15463fc3a30b91f968a5e1446b04b77e0613e5fb2df9971cace68
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a3632028482a8f9770276b920c99963df3808f832be1858a29a406473e145ef8",
"cross_cats_sorted": [
"cs.NE",
"math.PR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-05-08T14:05:01Z",
"title_canon_sha256": "d75833c0fc407b1a8b58806b5d0706ad5be5b1e4fbda0d1213608814620d21d0"
},
"schema_version": "1.0",
"source": {
"id": "2105.03703",
"kind": "arxiv",
"version": 1
}
}