pith:FZ3WKIHF
A Linear Temporal Logic of Frequencies on Series of Events
LTLF adds modal quantifiers to linear temporal logic so frequencies of events in sequences can be expressed and compared to ideal distributions inside one formal system.
arxiv:2604.10669 v2 · 2026-04-12 · cs.LO · math.LO
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Record completeness
Claims
By introducing novel, measure-sensitive operators, LTLF allows for the evaluation of frequencies and the prediction of future occurrences, thus providing a formal framework to monitor and control quantitative systems, such as machine learning classifiers.
That the proposed Kripke-style semantics with added modal quantifiers can be defined consistently to capture both actual observed frequencies and ideal distributions without internal contradictions or loss of useful logical properties.
LTLF adds measure-sensitive modal quantifiers to temporal logic for formalizing frequencies in event series and relating observed to ideal distributions.
Receipt and verification
| First computed | 2026-05-29T02:05:44.774144Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2e776520e587c1399e622f3f504374a162aa91c5e039850a4bdce22e6b5cbde8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FZ3WKIHFQ7ATTHTCF47VAQ3UUF \
| 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: 2e776520e587c1399e622f3f504374a162aa91c5e039850a4bdce22e6b5cbde8
Canonical record JSON
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