Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.04631.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:44:57.732413Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T18:00:01.579190Z
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 5a2a325d-620c-4efa-9274-ec65c1243870 · inbound
TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching cites this paper.
TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:44:57.732413Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0557c9d-dbb0-4581-9f16-45d2cc02ea83 · inbound
Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning cites this paper.
Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T00:21:00.789293Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b190ab5-f8a4-4dec-97d8-c8049758a57f · inbound
World Models in Pieces: Structural Certification for General Agents cites this paper.
World Models in Pieces: Structural Certification for General Agents DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
Reference 101
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T18:00:01.580863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.