Pith Number
pith:LKE7GAQ5
pith:2019:LKE7GAQ5DROLDCX3QONJ64S44J
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Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
arxiv:1905.06088 v1 · 2019-05-15 · cs.AI
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\usepackage{pith}
\pithnumber{LKE7GAQ5DROLDCX3QONJ64S44J}
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Record completeness
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Bitcoin timestamp
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4
Citations
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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
Learning to Reason: Targeted Knowledge Discovery and Fuzzy Logic Update for Robust Image Recognition
Receipt and verification
| First computed | 2026-05-17T23:46:07.542476Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5a89f3021d1c5cb18afb839a9f725ce256f5ed6cb8abc9587531a00a9dccc256
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LKE7GAQ5DROLDCX3QONJ64S44J \
| 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: 5a89f3021d1c5cb18afb839a9f725ce256f5ed6cb8abc9587531a00a9dccc256
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5aebe2b1c2f17fd8c54a9785c7a0f22406045fff735ffca0e559a091f042ebfd",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2019-05-15T11:00:48Z",
"title_canon_sha256": "d5c297af1ab32c385a975004bd212ad2f54ec231181e559b4829dddbbf119ee0"
},
"schema_version": "1.0",
"source": {
"id": "1905.06088",
"kind": "arxiv",
"version": 1
}
}