Pith Number
pith:LLNHRTZ3
pith:2023:LLNHRTZ3GTJQ3HRVYP65V55BVP
not attested
not anchored
not stored
refs pending
Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning
arxiv:2310.02005 v1 · 2023-10-03 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LLNHRTZ3GTJQ3HRVYP65V55BVP}
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 | 2026-07-05T06:56:48.907111Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5ada78cf3b34d30d9e35c3fddaf7a1abdfdf3decdbdc392ae6ec7f4e7c23d9c2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LLNHRTZ3GTJQ3HRVYP65V55BVP \
| 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: 5ada78cf3b34d30d9e35c3fddaf7a1abdfdf3decdbdc392ae6ec7f4e7c23d9c2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a3789e7b76e9d32f20adc53f458de1ce206b0a0d230785322c905a6b56945e46",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2023-10-03T12:21:41Z",
"title_canon_sha256": "42b2c92ecb16365a77bd14e1096426df8ce305e3d3e6e7d7d5b6ddb02dc529e1"
},
"schema_version": "1.0",
"source": {
"id": "2310.02005",
"kind": "arxiv",
"version": 1
}
}