Pith Number
pith:K5K2S2C2
pith:2022:K5K2S2C2ONQVB4JAFMIWZLFEBY
not attested
not anchored
not stored
refs pending
Vector Symbolic Finite State Machines in Attractor Neural Networks
arxiv:2212.01196 v2 · 2022-12-02 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K5K2S2C2ONQVB4JAFMIWZLFEBY}
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.
Receipt and verification
| First computed | 2026-07-05T08:14:38.066201Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5755a9685a736150f1202b116caca40e0c67a45209527eb3f7ca48c39a26e2d2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K5K2S2C2ONQVB4JAFMIWZLFEBY \
| 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: 5755a9685a736150f1202b116caca40e0c67a45209527eb3f7ca48c39a26e2d2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c71bb1a15bf342aaff537215bf261bbe7a353f4c847f452e0b50b29fb59ca610",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.NE",
"submitted_at": "2022-12-02T14:23:29Z",
"title_canon_sha256": "9cfca63cc69b5790c7228465f944c342329c5aff7422a853282c153cf5e0c85f"
},
"schema_version": "1.0",
"source": {
"id": "2212.01196",
"kind": "arxiv",
"version": 2
}
}