Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CLMASP: Coupling Large Language Models with Answer Set Programming for Robotic Task Planning
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.03367.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:09:54.880216Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T07:11:25.984797Z
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 47918340-568f-448a-b2c7-2107b6932b49 · inbound
Adaptive Domain Modeling with Language Models: A Multi-Agent Approach to Task Planning cites this paper.
Adaptive Domain Modeling with Language Models: A Multi-Agent Approach to Task Planning CLMASP: Coupling Large Language Models with Answer Set Programming for Robotic Task Planning
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:09:54.880216Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e88468da-d30c-4837-84b1-222962da8119 · inbound
Weighted Rules under the Stable Model Semantics cites this paper.
Weighted Rules under the Stable Model Semantics CLMASP: Coupling Large Language Models with Answer Set Programming for Robotic Task Planning
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T02:16:06.069125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fd598d5b-6e41-4ed0-a4be-572a81be1b51 · inbound
Fast optics-based modeling enabling large-scale optimization of the H4 and M2 beamlines in the CERN SPS North Area cites this paper.
Fast optics-based modeling enabling large-scale optimization of the H4 and M2 beamlines in the CERN SPS North Area CLMASP: Coupling Large Language Models with Answer Set Programming for Robotic Task Planning
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T09:30:13.605232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.