Pith Number
pith:UC4ZTVQ3
pith:2024:UC4ZTVQ3ITSGN2KF5YFO7MR2KN
not attested
not anchored
not stored
refs pending
Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation
arxiv:2408.07517 v3 · 2024-08-14 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UC4ZTVQ3ITSGN2KF5YFO7MR2KN}
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 | 2026-07-05T11:34:42.994162Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a0b999d61b44e466e945ee0aefb23a537972a5edc8f711603c67a1df5706f286
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UC4ZTVQ3ITSGN2KF5YFO7MR2KN \
| 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: a0b999d61b44e466e945ee0aefb23a537972a5edc8f711603c67a1df5706f286
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c927d404075b7ac4dc777c785c98b1192ab9b22669267ce440e394e825e896f6",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.NE",
"submitted_at": "2024-08-14T12:49:58Z",
"title_canon_sha256": "eadf46bdaa710cff07258457b4f1f6283ab7c5552a98371efd8c8801a9d42bd4"
},
"schema_version": "1.0",
"source": {
"id": "2408.07517",
"kind": "arxiv",
"version": 3
}
}