Pith Number
pith:F4ZHFUIY
pith:2020:F4ZHFUIYQOZZYM72KFVOJ44BY5
not attested
not anchored
not stored
refs pending
Detecting Symmetries with Neural Networks
arxiv:2003.13679 v1 · 2020-03-30 · physics.comp-ph · cs.LG · hep-th
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F4ZHFUIYQOZZYM72KFVOJ44BY5}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T00:51:25.216579Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2f3272d11883b39c33fa516ae4f381c74c986611c8060fb663c41fdcf9471f7d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F4ZHFUIYQOZZYM72KFVOJ44BY5 \
| 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: 2f3272d11883b39c33fa516ae4f381c74c986611c8060fb663c41fdcf9471f7d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "38aa38dbb34c22776bae7cc956fe5b0dae2c49639104430a72850f9e7b14d425",
"cross_cats_sorted": [
"cs.LG",
"hep-th"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.comp-ph",
"submitted_at": "2020-03-30T17:58:24Z",
"title_canon_sha256": "8a18b7d24bbbe353a07633e698b4c61ca7d4502ba709362732781d32089a9742"
},
"schema_version": "1.0",
"source": {
"id": "2003.13679",
"kind": "arxiv",
"version": 1
}
}