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Paper Citation Record · LEDGER

Learning Linear Temporal Specifications from Demonstrations with Uncertainty

As of 15 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.10918.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.10918 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T08:19:16.363607Z

measured 24 of 24 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

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Reference resolution

24 of 24 outbound references displayed

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Outbound references

Observation 2fa198e1-3edb-46c2-bca0-17a6ac0cbae5 · outbound

This paper cites Learning from demonstrations using signal temporal logic,.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Learning from demonstrations using signal temporal logic,

Reference 1

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Observation 974672cd-b7e5-4053-9be3-a8bcdc9b99a0 · outbound

This paper cites Survey on mining signal temporal logic specifications,.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Survey on mining signal temporal logic specifications,

Reference 2

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Observation 2138a426-c6e7-40c8-a928-08115a6f696c · outbound

This paper cites The Complexity of Learning Temporal Properties.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty The Complexity of Learning Temporal Properties

Reference 3

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Observation 4564a635-0c2f-4d32-b5dc-d812f6997996 · outbound

This paper cites Formal methods for controlling dynamical systems,.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Formal methods for controlling dynamical systems,

Reference 4

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Observation bc3e67e5-dda5-460b-a4e9-fd7e899b0f90 · outbound

This paper cites an unresolved cited work.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Unresolved cited work

Reference 5

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Observation 9de6d701-4c0b-4a7e-9151-6ba57e42b93a · outbound

This paper cites Learning linear temporal properties,.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Learning linear temporal properties,

Reference 6

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source=pdf_text observed=2026-07-14T08:19:16.363607Z digest=sha256:63908f9a52c08676b03219ac80de68819ab22b5974a8e65b55015c2fb6e52b6a

Observation 67d1499b-2b7b-49ef-b9df-ddea07e65f07 · outbound

This paper cites Learning Temporal Properties is NP-hard.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Learning Temporal Properties is NP-hard

Reference 7

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Observation e281fe45-f7b7-408d-9eb1-de3c86b860ae · outbound

This paper cites Maxsat-based temporal logic inference from noisy data,.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Maxsat-based temporal logic inference from noisy data,

Reference 8

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Observation a3e78ea8-e39f-47d7-9d5d-6b5584335068 · outbound

This paper cites Learning linear temporal properties for autonomous robotic systems,.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Learning linear temporal properties for autonomous robotic systems,

Reference 9

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Observation 8a909909-3ef4-4944-a4e7-ff5e059e99b8 · outbound

This paper cites Sampling- based motion planning with temporal goals,.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Sampling- based motion planning with temporal goals,

Reference 10

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Observation 04fadd8f-974d-4cd5-bd91-e2ae16d20f26 · outbound

This paper cites From linear temporal logics to büchi automata: the early and simple principle,.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty From linear temporal logics to büchi automata: the early and simple principle,

Reference 11

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Observation 3a05e254-da62-4c19-bfb6-5966cba1cfbf · outbound

This paper cites A Direct Translation from LTL with Past to Deterministic Rabin Automata.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty A Direct Translation from LTL with Past to Deterministic Rabin Automata

Reference 12

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Observation 6fde408f-20d1-4b0d-bcbe-70c25d904d04 · outbound

This paper cites Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis

Reference 13

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Observation b41c36f6-362e-47a4-9c00-f9038cd4e271 · outbound

This paper cites Learning interpretable models expressed in linear temporal logic,.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Learning interpretable models expressed in linear temporal logic,

Reference 14

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Observation fd4106c4-2d56-42e4-a44a-56f8d23cd4b4 · outbound

This paper cites Learning temporal logic formulas from suboptimal demonstrations: theory and experi- ments,.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Learning temporal logic formulas from suboptimal demonstrations: theory and experi- ments,

Reference 15

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Observation aa0ee254-432d-4fe2-ae01-445065833bfc · outbound

This paper cites Learning an explainable trajectory generator using the automaton generative network (agn),.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Learning an explainable trajectory generator using the automaton generative network (agn),

Reference 16

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Observation 455cfb5f-2fcc-465b-af91-d7447d2276d6 · outbound

This paper cites Learning reward machines for partially observable reinforcement learning,.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Learning reward machines for partially observable reinforcement learning,

Reference 17

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Observation 17857e61-26b1-4e50-8a35-0fea18cb834b · outbound

This paper cites Baier and J.-P.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Baier and J.-P

Reference 18

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Observation c54abb68-bb83-481d-92d2-e1518f7f8732 · outbound

This paper cites Linear temporal logic and linear dynamic logic on finite traces,.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Linear temporal logic and linear dynamic logic on finite traces,

Reference 19

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Observation cf4cb4d8-1675-47df-a3d1-9d87c27c47f0 · outbound

This paper cites Learning Temporal Logic Properties: an Overview of Two Recent Methods.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Learning Temporal Logic Properties: an Overview of Two Recent Methods

Reference 20

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Observation 7f8530d3-875e-47ca-8cb8-d0a411b3746d · outbound

This paper cites Error detecting and error correcting codes,.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Error detecting and error correcting codes,

Reference 21

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Observation cc2961bd-4853-4feb-9c66-ca72aeedb910 · outbound

This paper cites Constrained ltl specification learning from examples,.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Constrained ltl specification learning from examples,

Reference 22

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Observation 74512330-1d2b-4475-8ed8-641f1cd67b5d · outbound

This paper cites Optimization modulo theories with linear rational costs,.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Optimization modulo theories with linear rational costs,

Reference 23

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Observation 80c9fa69-6f95-4547-88be-ff1c58680b83 · outbound

This paper cites Z3: An efficient SMT solver,.

Learning Linear Temporal Specifications from Demonstrations with Uncertainty Z3: An efficient SMT solver,

Reference 24

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Pith citing papers

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