Pith Number
pith:BOQL44RG
pith:2020:BOQL44RGCYKGP2AMHKFE3MY7HE
not attested
not anchored
not stored
refs pending
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming
arxiv:2003.10386 v1 · 2020-03-23 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BOQL44RGCYKGP2AMHKFE3MY7HE}
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
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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 | 2026-07-05T00:49:52.266587Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0ba0be7226161467e80c3a8a4db31f39250837720cbc3d59cbca886b85e430d6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BOQL44RGCYKGP2AMHKFE3MY7HE \
| 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: 0ba0be7226161467e80c3a8a4db31f39250837720cbc3d59cbca886b85e430d6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dbdb73bbd1e4a3179b3aaaa17b1b5e078e9838a062e1f0a2feb2cb3646dcee01",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-03-23T16:56:11Z",
"title_canon_sha256": "559cb57cee4b8d686319fbeb451722932eb226802e7ddcca6ab0a6543906f430"
},
"schema_version": "1.0",
"source": {
"id": "2003.10386",
"kind": "arxiv",
"version": 1
}
}