Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Automating the Generation of Prompts for LLM-based Action Choice in PDDL Planning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2311.09830.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:12:06.078850Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T06:59:38.186769Z
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 63a6ca47-e8ef-404e-9df9-e2579ae730df · inbound
Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.
Large Language Models for Planning: A Comprehensive and Systematic Survey Automating the Generation of Prompts for LLM-based Action Choice in PDDL Planning
Reference 230
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:12:06.078850Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3a9cd31-2f2d-4e3f-8bab-b6d65888a500 · inbound
FABLE: A Novel Data-Flow Analysis Benchmark on Procedural Text for Large Language Model Evaluation cites this paper.
FABLE: A Novel Data-Flow Analysis Benchmark on Procedural Text for Large Language Model Evaluation Automating the Generation of Prompts for LLM-based Action Choice in PDDL Planning
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:33:36.053552Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4af6382b-59b7-4363-b2b7-6224e8dadb3d · inbound
Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey cites this paper.
Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey Automating the Generation of Prompts for LLM-based Action Choice in PDDL Planning
Reference 115
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:00:19.557551Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f3320e4-77c7-4a8a-ba70-eee34cc5dd70 · inbound
Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation cites this paper.
Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation Automating the Generation of Prompts for LLM-based Action Choice in PDDL Planning
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:05:11.087945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db6a0d60-8e6a-4c98-87dd-f1dd64a146f9 · inbound
Can LLM-Reasoning Models Replace Classical Planning? A Benchmark Study cites this paper.
Can LLM-Reasoning Models Replace Classical Planning? A Benchmark Study Automating the Generation of Prompts for LLM-based Action Choice in PDDL Planning
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:45:59.527985Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a58d18b8-8e3d-4bfc-9f7d-a48e8d28f70c · inbound
Training the Orchestrator: A Supervised Approach to End-to-End PDDL Planning with LLM Agents cites this paper.
Training the Orchestrator: A Supervised Approach to End-to-End PDDL Planning with LLM Agents Automating the Generation of Prompts for LLM-based Action Choice in PDDL Planning
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T06:59:38.188083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6325a8cd-3800-4b19-9796-2ab04d9801c9 · inbound
Toward Secure and Reliable PDDL Formalization of Large Language Models with Planner-in-the-Loop Feedback cites this paper.
Toward Secure and Reliable PDDL Formalization of Large Language Models with Planner-in-the-Loop Feedback Automating the Generation of Prompts for LLM-based Action Choice in PDDL Planning
Reference 18
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T06:44:18.797087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.