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Paper Citation Record · LEDGER

Modular Deep Reinforcement Learning with Temporal Logic Specifications

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1909.11591.

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

pith.paper-citation-record.v1
1909.11591 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T11:59:04.103002Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T12:06:55.347413Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e1a92c9d-f4d2-41d6-ae61-2b33d703ebf1 · inbound

Reinforcement Learning for Reachability: Guaranteeing Asymptotic Optimality cites this paper.

Reinforcement Learning for Reachability: Guaranteeing Asymptotic Optimality Modular Deep Reinforcement Learning with Temporal Logic Specifications

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:24:45.270482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T14:15:45.030536Z digest=sha256:d4ef1782de43b6902d58e5b513f93cdee551dc557b7ffa6573eab932e9cb77e2

Observation b1b7785d-ec9d-409b-bd18-ea28c61cfdcb · inbound

Decoupled Behavioral Cloning for Scalable Inductive Generalization in RL from Specifications cites this paper.

Decoupled Behavioral Cloning for Scalable Inductive Generalization in RL from Specifications Modular Deep Reinforcement Learning with Temporal Logic Specifications

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-06-28T20:42:37.712320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T18:25:37.397393Z digest=sha256:5809958663e8b3f4f7b842d022c4d310afb95e89569f703d8bc0b29cb4d2e639

Observation ba3bcda3-a67c-4a59-9c78-6c54d952e569 · inbound

Learning Gait-Aware Quadruped Locomotion with Temporal Logic Specifications cites this paper.

Learning Gait-Aware Quadruped Locomotion with Temporal Logic Specifications Modular Deep Reinforcement Learning with Temporal Logic Specifications

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:06:55.348968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-02T11:59:04.103002Z digest=sha256:5f832bbb99b6529a7468d52c1bc40011bc3d12307e7b661a9c242eaa8f332c4c