Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.06108.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:21:42.427658Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T21:52:10.582350Z
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 861a2f99-f9c6-41fa-87ad-3dbc52f82130 · inbound
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding cites this paper.
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:56:54.737899Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf58b0cb-e131-4239-8a62-0bdd6c8c86a5 · inbound
Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.
Large Language Model Agent: A Survey on Methodology, Applications and Challenges ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T21:52:10.584552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 15a386df-577f-45f7-b05b-b61cef34f7da · inbound
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression cites this paper.
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:17:57.555068Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed5ec5ae-a8f8-48ea-967b-578ed0f445b9 · inbound
Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.
Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution
Reference 292
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:55:43.092406Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49de4842-154d-4f5c-abf9-517cb64ee5c6 · inbound
On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models cites this paper.
On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution
Reference 107
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:21:42.427658Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.