Pith Number
pith:QMR3XZRX
pith:2026:QMR3XZRXDUCFWMFPQ6TKKW2PPB
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An $L^{\#}$ Based Algorithm for Active Learning of Minimal Separating Automata
A simple algorithm based on L# learns minimal DFAs that separate two disjoint languages.
arxiv:2605.15294 v1 · 2026-05-14 · cs.FL
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\pithnumber{QMR3XZRXDUCFWMFPQ6TKKW2PPB}
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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.
Claims
C1strongest claim
We propose a simple active learning algorithm, inspired by L#, that learns a minimal separating DFA for disjoint languages L1 and L2 if one exists.
C2weakest assumption
The two input languages are disjoint and a finite minimal separating DFA for them exists (abstract, first paragraph).
C3one line summary
An L#-inspired active learning algorithm learns minimal separating DFAs for disjoint languages when one exists and outperforms prior methods on random and industrial benchmarks.
References
[1] Angluin, D.: Learning regular sets from queries and counterexamples. Inf. Comput. 75(2), 87–106 (1987).https://doi.org/10.1016/0890-5401(87)90052-6
[2] Balle, B., Carreras, X., Luque, F.M., Quattoni, A.: Spectral learning of weighted automata - A forward-backward perspective. Mach. Learn.96(1-2), 33–63 (2014). https://doi.org/10.1007/S10994-013-5416-
[3] Bar-Sinai, M., Elyasaf, A., Weiss, G., Weiss, Y.: Provengo: A tool suite for scenario driven model-based testing. In: ASE. pp. 2062–2065. IEEE (2023).https://doi. org/10.48550/ARXIV.2308.15938
[4] IEEE Transactions on ComputersC-21(6), 592–597 (1972).https://doi.org/10.1109/TC.1972.5009015
[5] In: Prabhakar, P., Vandin, A
Receipt and verification
| First computed | 2026-05-20T00:00:51.136782Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8323bbe6371d045b30af87a6a55b4f7845a0b5340d60414bb78cbf99e7a4b36e
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QMR3XZRXDUCFWMFPQ6TKKW2PPB \
| 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: 8323bbe6371d045b30af87a6a55b4f7845a0b5340d60414bb78cbf99e7a4b36e
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.FL",
"submitted_at": "2026-05-14T18:10:19Z",
"title_canon_sha256": "93cf868a6be0cd0139d78001bdaed7e4160d109bdcc85eda2ddaf11d82a56353"
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"kind": "arxiv",
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