Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:18:26.895953Z
Paper Citation Record · LEDGER
GenPlanX. Generation of Plans and Execution
As of 14 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2506.10897.
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
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
45 of 45 outbound references displayed
- verified exact2
- verified fuzzy31
- unresolved11
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b1f3f2a8-383b-4640-a92f-29790d84f0ed · outbound
This paper cites Ai-Chang, J.
GenPlanX. Generation of Plans and Execution Ai-Chang, J
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:37.014742Z
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 1f436ac4-6753-4198-bf69-d4be7c5973ce · outbound
This paper cites Learning action models with minimal ob- servability.Artificial Intelligence, 275:104–137, 2019.
GenPlanX. Generation of Plans and Execution Learning action models with minimal ob- servability.Artificial Intelligence, 275:104–137, 2019
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:36.766793Z
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 f5e348dc-fef7-44b5-9dd4-57f4d7f6f790 · outbound
This paper cites an unresolved cited work.
GenPlanX. Generation of Plans and Execution Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:18:36.422485Z
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 a1a329ff-c0a0-4562-b982-bac18ce8f9e9 · outbound
This paper cites Language models are few- shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.
GenPlanX. Generation of Plans and Execution Language models are few- shot learners.Advances in neural information processing systems, 33:1877–1901, 2020
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:36.085212Z
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 b26ef753-16ba-49aa-b39b-98b6827e75ab · outbound
This paper cites A multi-agent architecture for intelligent gathering systems.AI Communications, 18(1):15–32, 2005.
GenPlanX. Generation of Plans and Execution A multi-agent architecture for intelligent gathering systems.AI Communications, 18(1):15–32, 2005
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:35.784166Z
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 464cb809-3f9d-4096-bd38-e16490efad72 · outbound
This paper cites Planning for tourism routes using social networks.Expert Systems with Applications, 69:1–9, 2017.
GenPlanX. Generation of Plans and Execution Planning for tourism routes using social networks.Expert Systems with Applications, 69:1–9, 2017
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:35.486127Z
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 0bcd3236-edbc-4572-a101-b3d9b675ba59 · outbound
This paper cites TRIP-PAL: Travel Planning with Guarantees by Combining Large Language Models and Automated Planners.
GenPlanX. Generation of Plans and Execution TRIP-PAL: Travel Planning with Guarantees by Combining Large Language Models and Automated Planners
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:18:22.268334Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8239b767-14f1-4011-9cc8-d1494de7dc4b · outbound
This paper cites Etzioni, S.
GenPlanX. Generation of Plans and Execution Etzioni, S
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:35.217739Z
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 a0df749a-9d3b-43a5-9fe0-4313df39396a · outbound
This paper cites Assisting data mining through automated planning.
GenPlanX. Generation of Plans and Execution Assisting data mining through automated planning
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:34.984991Z
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 4755e800-2ae3-4591-b3bc-bf5a6cd64b08 · outbound
This paper cites Anticipation of goals in automated planning.
GenPlanX. Generation of Plans and Execution Anticipation of goals in automated planning
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:34.662947Z
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 fdd0e89d-8588-4215-80ed-774f44f80b06 · outbound
This paper cites Florez,´Alvaro Torralba, Daniel Borrajo, Carlos Linares-L´ opez, ´Angel Garc ´ ıa- Olaya, and Juan S´ aenz.
GenPlanX. Generation of Plans and Execution Florez,´Alvaro Torralba, Daniel Borrajo, Carlos Linares-L´ opez, ´Angel Garc ´ ıa- Olaya, and Juan S´ aenz
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:34.324595Z
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 82d001c1-741f-4d59-a35e-944b00b326dd · outbound
This paper cites Ghallab, A.
GenPlanX. Generation of Plans and Execution Ghallab, A
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:34.032692Z
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 25142c9d-a794-43bb-a89d-6ca35d8d5cb7 · outbound
This paper cites Access Online via Elsevier, 2004.
GenPlanX. Generation of Plans and Execution Access Online via Elsevier, 2004
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:33.689086Z
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 7e41d61b-967d-4066-b292-0d798e002583 · outbound
This paper cites A planning approach to repair domains with incomplete action effects.
GenPlanX. Generation of Plans and Execution A planning approach to repair domains with incomplete action effects
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:33.402349Z
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 5121e8cf-f9e3-45c9-8e25-e784205114ae · outbound
This paper cites Leveraging pre- trained large language models to construct and utilize world models for model-based task planning.
GenPlanX. Generation of Plans and Execution Leveraging pre- trained large language models to construct and utilize world models for model-based task planning
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:18:23.336995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c65219a-a279-424b-aaf2-af2f90659941 · outbound
This paper cites Transformers for natural language to structured planning: Integrating domain knowledge.
GenPlanX. Generation of Plans and Execution Transformers for natural language to structured planning: Integrating domain knowledge
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:33.110826Z
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 25116e41-2296-4851-84ef-b3134caf24fa · outbound
This paper cites Building a domain-independent architecture for planning, learning and execution.pelea.
GenPlanX. Generation of Plans and Execution Building a domain-independent architecture for planning, learning and execution.pelea
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:32.854386Z
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 30266ffc-e13e-4c91-8732-1f34623e0f1d · outbound
This paper cites The fast downward planning system.Journal of Artificial Intelligence Research, 26:191– 246, 2006.
GenPlanX. Generation of Plans and Execution The fast downward planning system.Journal of Artificial Intelligence Research, 26:191– 246, 2006
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:32.594831Z
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 7a7ad816-a8a1-4b66-bb6a-03383c61bc35 · outbound
This paper cites Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents.
GenPlanX. Generation of Plans and Execution Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:18:23.897927Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99c2cda3-4e2e-49cc-8ba0-2d0081f64d95 · outbound
This paper cites LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks.
GenPlanX. Generation of Plans and Execution LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:18:24.013731Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 154208a7-9451-4bc9-98e4-8ae751c5e52e · outbound
This paper cites Advanced messaging platform (amp): Pipeline for automated enterprise email processing.
GenPlanX. Generation of Plans and Execution Advanced messaging platform (amp): Pipeline for automated enterprise email processing
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:32.358728Z
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 d4a4926e-037a-4771-9f1d-52b62b9d7cc2 · outbound
This paper cites Elevator control as a planning problem.
GenPlanX. Generation of Plans and Execution Elevator control as a planning problem
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:32.085393Z
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 e40a24eb-3f2b-4619-ab15-6d9d345167d2 · outbound
This paper cites LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.
GenPlanX. Generation of Plans and Execution LLM+P: Empowering Large Language Models with Optimal Planning Proficiency
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:18:24.467715Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5dcf9f16-7249-48ab-bc57-9ad829d95321 · outbound
This paper cites Unified planning: Modeling, manipulating and solving ai planning problems in python.SoftwareX, 29:102012, 2025.
GenPlanX. Generation of Plans and Execution Unified planning: Modeling, manipulating and solving ai planning problems in python.SoftwareX, 29:102012, 2025
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:31.797143Z
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 30425c6d-da13-48fc-9427-3199309372f4 · outbound
This paper cites On Learning Action Costs from Input Plans.
GenPlanX. Generation of Plans and Execution On Learning Action Costs from Input Plans
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:18:24.645694Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c01143d0-751c-47f0-a1e0-fe5669815ff9 · outbound
This paper cites Nocturne: A scalable driving benchmark for bringing multi-agent learning one step closer to the real world.
GenPlanX. Generation of Plans and Execution Nocturne: A scalable driving benchmark for bringing multi-agent learning one step closer to the real world
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:31.555003Z
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 cd7d30cd-70d0-4dcc-9051-674dd4cb19b8 · outbound
This paper cites Aha, and Elizabeth Carter.
GenPlanX. Generation of Plans and Execution Aha, and Elizabeth Carter
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:31.324086Z
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 abc4f660-149c-42d1-9cf3-50c3d21fd758 · outbound
This paper cites Pandurang Nayak, Barney Pell, and Brian C.
GenPlanX. Generation of Plans and Execution Pandurang Nayak, Barney Pell, and Brian C
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:31.023145Z
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 bdaaa968-7bcb-4fb0-b5e3-191cbf910f85 · outbound
This paper cites Using copilot in microsoft 365.
GenPlanX. Generation of Plans and Execution Using copilot in microsoft 365
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:30.793407Z
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 c87ac690-492a-49ec-a9f3-bd61ea1b7d25 · outbound
This paper cites Large language models as planning domain generators.
GenPlanX. Generation of Plans and Execution Large language models as planning domain generators
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:30.498537Z
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 8f49f538-b6b6-4e8f-97dd-24d4f7b1c32b · outbound
This paper cites On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS).
GenPlanX. Generation of Plans and Execution On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:18:27.325493Z
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 360ac301-d071-4715-9c6f-ded6fa0440b5 · outbound
This paper cites Using online planning and acting to recover from cyberattacks on software-defined networks.
GenPlanX. Generation of Plans and Execution Using online planning and acting to recover from cyberattacks on software-defined networks
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:30.137189Z
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 f2f2c014-709f-4bfe-8dce-40a4bb8b0101 · outbound
This paper cites Generating replanning goals through multi- objective optimization in response to execution observation.
GenPlanX. Generation of Plans and Execution Generating replanning goals through multi- objective optimization in response to execution observation
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:29.858032Z
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 b3f3a8c3-0d6b-46fb-b898-ff82013120ae · outbound
This paper cites Learning-driven goal generation.AI Commu- nications, 31(2):137–150, 2018.
GenPlanX. Generation of Plans and Execution Learning-driven goal generation.AI Commu- nications, 31(2):137–150, 2018
Reference 34
- Resolution
- verified exact
- doi, observed 2026-08-07T04:18:27.124385Z
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 26d03777-3987-48e0-8f9f-c87d7552f04f · outbound
This paper cites Computing planning centroids and minimum covering states using symbolic bidirectional search.
GenPlanX. Generation of Plans and Execution Computing planning centroids and minimum covering states using symbolic bidirectional search
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:29.629088Z
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 49347653-2757-4056-9298-6af497f04e00 · outbound
This paper cites Adapt: As-needed decomposition and planning with language models, 2024.
GenPlanX. Generation of Plans and Execution Adapt: As-needed decomposition and planning with language models, 2024
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:29.401982Z
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 77450e8d-0d26-4c4c-b476-0216158077d5 · outbound
This paper cites Integrating plan- ning and scheduling in workflow domains.Expert Systems with Applications, 33(2):389–406, October 2007.
GenPlanX. Generation of Plans and Execution Integrating plan- ning and scheduling in workflow domains.Expert Systems with Applications, 33(2):389–406, October 2007
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:29.106632Z
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 339c74ad-faa3-4b7e-9513-ae3f92e2b09c · outbound
This paper cites An AI planning- based tool for scheduling satellite nominal operations.AI Magazine, 25(4):9–27, Winter 2004.
GenPlanX. Generation of Plans and Execution An AI planning- based tool for scheduling satellite nominal operations.AI Magazine, 25(4):9–27, Winter 2004
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:28.787284Z
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 a53c1901-4a47-40f5-b894-a4750b7407a1 · outbound
This paper cites Twostep: Multi-agent task planning using classical planners and large language models, 2024.
GenPlanX. Generation of Plans and Execution Twostep: Multi-agent task planning using classical planners and large language models, 2024
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:28.438246Z
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 f0f66fe8-7800-49fc-9c59-0662d853c68a · outbound
This paper cites Automated composition of semantic web services into executable processes.
GenPlanX. Generation of Plans and Execution Automated composition of semantic web services into executable processes
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:18:28.053444Z
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 3f61024a-0ca6-4b6f-a3fe-7ec72afc538f · outbound
This paper cites PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change.
GenPlanX. Generation of Plans and Execution PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:18:26.474007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2297629f-418e-49a7-89dc-5797796f9295 · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models, 2023.
GenPlanX. Generation of Plans and Execution Chain-of-thought prompting elicits reasoning in large language models, 2023
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:18:26.542943Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f36e09f-21fe-4850-ae24-eb602db117bb · outbound
This paper cites Griffiths, Yuan Cao, and Karthik Narasimhan.
GenPlanX. Generation of Plans and Execution Griffiths, Yuan Cao, and Karthik Narasimhan
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:18:26.633772Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cb82c97-2327-4e21-b066-980d8d1c6c6d · outbound
This paper cites React: Synergizing reasoning and acting in language models, 2023.
GenPlanX. Generation of Plans and Execution React: Synergizing reasoning and acting in language models, 2023
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:18:26.768815Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c149eb8-1892-4d04-8896-a55a59a63081 · outbound
This paper cites type": "text.
GenPlanX. Generation of Plans and Execution type": "text
Reference 46
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-07T04:18:27.693739Z
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.
Pith citing papers
No inbound Pith citation observations are available.