Paper Citation Record · LEDGER

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models

As of 19 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2604.26569.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2604.26569 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T11:41:19.161442Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact3
verified fuzzy18
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9e22931d-9ce6-48da-8f46-852e08fe7693 · outbound

This paper cites The fast downward planning system.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models The fast downward planning system

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T06:53:44.760906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 14da2c0e-660f-4918-a542-0372442bf693 · outbound

This paper cites PDDL2.2: The language for the classical part of the 4th international planning competition.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models PDDL2.2: The language for the classical part of the 4th international planning competition

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T06:53:44.767979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 41179b03-6e67-41c0-9890-eac5ea769d61 · outbound

This paper cites Planning with learned object importance in large problem instances.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models Planning with learned object importance in large problem instances

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T06:53:44.740578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2d2777fd-ba1f-4f0b-bef6-1eab451a40a9 · outbound

This paper cites Graph-ploi: Graph neural networks for planning with learned object importance.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models Graph-ploi: Graph neural networks for planning with learned object importance

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T06:53:44.737537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2ec32b6e-9900-4be7-a8a1-7cf4006d30dd · outbound

This paper cites Fast task planning with neuro-symbolic relaxation.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models Fast task planning with neuro-symbolic relaxation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:16:26.866155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation feb135c1-a640-4d1b-b036-51a30542cf02 · outbound

This paper cites Language models are few-shot learners.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models Language models are few-shot learners

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T06:53:44.745654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c033d9bf-f7a1-42eb-bb33-7b07f552fa7c · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models Chain-of-thought prompting elicits reasoning in large language models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T06:53:44.757503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a9322674-84d2-4b7a-8e0e-5d322cd5c1c2 · outbound

This paper cites The FF planning system: Fast plan genera- tion through heuristic search.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models The FF planning system: Fast plan genera- tion through heuristic search

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T06:53:44.735008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c4bbdbf0-8d2f-464b-800d-41c44baa8782 · outbound

This paper cites STRIPS: A new approach to the appli- cation of theorem proving to problem solving.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models STRIPS: A new approach to the appli- cation of theorem proving to problem solving

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T06:53:44.732053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4d8f931f-a7fa-4eaf-8aad-e36cef8845f1 · outbound

This paper cites PDDLStream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models PDDLStream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T06:53:44.718222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 84e70266-9762-4abb-8a30-f52c62c1042c · outbound

This paper cites Learning Neuro-Symbolic Skills for Bilevel Planning.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models Learning Neuro-Symbolic Skills for Bilevel Planning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:16:26.871581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fbe2cd40-bc91-4533-a05b-ef283d667a1f · outbound

This paper cites Learning neuro-symbolic relational transition models for bilevel planning.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models Learning neuro-symbolic relational transition models for bilevel planning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T06:53:44.721518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 447de9e9-1c63-46c3-b60a-cdca025ef4d3 · outbound

This paper cites Predicate invention for bilevel plan- ning.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models Predicate invention for bilevel plan- ning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T06:53:44.724452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fed9d1d8-d01c-47c2-862d-21c29464542e · outbound

This paper cites Learning efficient abstract planning models that choose what to predict.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models Learning efficient abstract planning models that choose what to predict

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T06:53:44.729037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e49d70f2-2fd3-42d6-96aa-1c91a9eb5c97 · outbound

This paper cites LogiCity: Ad- vancing neuro-symbolic AI with abstract urban simulation.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models LogiCity: Ad- vancing neuro-symbolic AI with abstract urban simulation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T06:53:44.709310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 19ae1903-1a9b-4d65-b4de-c03a2b1938c0 · outbound

This paper cites Do as i can, not as i say: Grounding language in robotic affordances.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models Do as i can, not as i say: Grounding language in robotic affordances

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T06:53:44.712136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b2382157-636e-4f66-a4f8-d63551840c79 · outbound

This paper cites LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-14T18:36:18.754973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9d233c1e-09b5-4449-aa98-8dcd928d05ea · outbound

This paper cites PDDL-based planning with large language models.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models PDDL-based planning with large language models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T06:53:44.715117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a93c434d-8394-450c-980c-14300d6fe86c · outbound

This paper cites Leveraging pre-trained large language models to construct and utilize world models for model-based task planning.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models Leveraging pre-trained large language models to construct and utilize world models for model-based task planning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T06:53:44.764429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a7baa00a-b7a3-4ec8-92db-fa4dfa4c0438 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models Tree of thoughts: Deliberate problem solving with large language models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T06:53:44.703258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f0002a97-955c-4d40-b670-57c4a527f278 · outbound

This paper cites Acquiring planning domain models using LOCM.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models Acquiring planning domain models using LOCM

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T06:53:44.706332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 21cc7b18-3a62-43e3-8468-5aef6f007c4d · outbound

This paper cites Inductive learning of answer set programs for autonomous planning.

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models Inductive learning of answer set programs for autonomous planning

Reference 22

Resolution: malformed identifier; arxiv_id, observed 2026-05-12T09:16:26.882178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.