Pith Number
pith:LM4KLDVT
pith:2018:LM4KLDVTSZJ4PNOQCM52D6H655
not attested
not anchored
not stored
refs pending
Scalar Reduction of a Neural Field Model with Spike Frequency Adaptation
arxiv:1801.06168 v1 · 2018-01-18 · q-bio.NC · nlin.PS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LM4KLDVTSZJ4PNOQCM52D6H655}
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 | 2026-05-18T00:25:35.423660Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5b38a58eb39653c7b5d0133ba1f8feef75cde77c3d5654cb97a2438f2a7feeb9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LM4KLDVTSZJ4PNOQCM52D6H655 \
| 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: 5b38a58eb39653c7b5d0133ba1f8feef75cde77c3d5654cb97a2438f2a7feeb9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bc7762a1f952be6d2cf534d4cac0343b4a8a9fda7398e694423897ec4501a019",
"cross_cats_sorted": [
"nlin.PS"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "q-bio.NC",
"submitted_at": "2018-01-18T18:46:21Z",
"title_canon_sha256": "56a66c9e71c0bbe6cf635a3748b260e786b04f985fd58b4d437e60cc0f49a0f4"
},
"schema_version": "1.0",
"source": {
"id": "1801.06168",
"kind": "arxiv",
"version": 1
}
}