Pith Number
pith:7PTWPT3C
pith:2021:7PTWPT3CGEIUKNWU63XBTDSVU3
not attested
not anchored
not stored
refs pending
Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators
arxiv:2106.00694 v1 · 2021-06-01 · cs.LG · hep-th · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7PTWPT3CGEIUKNWU63XBTDSVU3}
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
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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 | 2026-07-05T02:45:39.108040Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fbe767cf6231114536d4f6ee198e55a6ecad6c7bdc89e83d054c86f3210b2ac8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7PTWPT3CGEIUKNWU63XBTDSVU3 \
| 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: fbe767cf6231114536d4f6ee198e55a6ecad6c7bdc89e83d054c86f3210b2ac8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0908e405d6106506e8718bf42a6c93239a47996962718991fea10d9ba1517c89",
"cross_cats_sorted": [
"hep-th",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-06-01T18:00:06Z",
"title_canon_sha256": "83d8ebf300d40b9cf3d44992a54211ae62717c96e818427a48d9a4acef28c14e"
},
"schema_version": "1.0",
"source": {
"id": "2106.00694",
"kind": "arxiv",
"version": 1
}
}