Pith Number
pith:WCHS2ZCC
pith:2021:WCHS2ZCCWIEBI4XKV4CT75DHM7
not attested
not anchored
not stored
refs pending
Neural population geometry: An approach for understanding biological and artificial neural networks
arxiv:2104.07059 v3 · 2021-04-14 · q-bio.NC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WCHS2ZCCWIEBI4XKV4CT75DHM7}
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.
Receipt and verification
| First computed | 2026-07-05T03:33:41.806052Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b08f2d6442b2081472eaaf053ff46767f8b657f0f1c43a2ba31bcff9543bf2c4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WCHS2ZCCWIEBI4XKV4CT75DHM7 \
| 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: b08f2d6442b2081472eaaf053ff46767f8b657f0f1c43a2ba31bcff9543bf2c4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2e9752add02d3b8c32a67df36fdae15c4ba363866dd4c0db0f2917a28980a36b",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "q-bio.NC",
"submitted_at": "2021-04-14T18:10:34Z",
"title_canon_sha256": "36577006bc6699aa2a7c6b4960e194b25a68736747d704900b885ac834be4a1e"
},
"schema_version": "1.0",
"source": {
"id": "2104.07059",
"kind": "arxiv",
"version": 3
}
}