Paper Citation Record · LEDGER

Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2310.08582.

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

pith.paper-citation-record.v1
2310.08582 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:21:39.923185Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:52:10.339402Z

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 a267bb68-80e1-4784-a762-e7098736d1bb · inbound

Agent AI: Surveying the Horizons of Multimodal Interaction cites this paper.

Agent AI: Surveying the Horizons of Multimodal Interaction Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

Reference 132

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T14:25:59.398004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dde232b1-c45a-4442-b872-c2a469705ee0 · inbound

A Survey on Knowledge Distillation of Large Language Models cites this paper.

A Survey on Knowledge Distillation of Large Language Models Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

Reference 253

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T23:31:11.764817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0e8b573a-27b6-44e9-98f1-209048e25e7b · inbound

LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble cites this paper.

LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T12:33:07.036176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8dfc220-aadb-4b64-a42c-9de334f1224d · inbound

Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation cites this paper.

Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T17:23:26.503804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5f2e171-db24-412e-909f-9bedaa8a553c · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:29:56.650210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3b1a1420-62da-4e8f-9434-2129f308fffb · 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 Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:52:10.342172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3068e75f-089d-4703-8d4b-29db57085326 · inbound

RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins cites this paper.

RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T12:21:39.923185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 402cca18-7e9a-4141-919a-75d7735f7b4d · inbound

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering cites this paper.

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:01:47.987757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 603945a5-64f1-43b2-bc48-6130f16d3b25 · inbound

Virtual Agent Economies cites this paper.

Virtual Agent Economies Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:37.265636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41f5cd3a-e77a-4378-a65e-2a041447b489 · inbound

Self-CriTeach: LLM Self-Teaching and Self-Critiquing for Improving Robotic Planning via Automated Domain Generation cites this paper.

Self-CriTeach: LLM Self-Teaching and Self-Critiquing for Improving Robotic Planning via Automated Domain Generation Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T13:31:24.742632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb06ad8e-de8e-4ea7-ba86-3d4cc160067f · inbound

Self-CriTeach: LLM Self-Teaching and Self-Critiquing for Improving Robotic Planning via Automated Domain Generation cites this paper.

Self-CriTeach: LLM Self-Teaching and Self-Critiquing for Improving Robotic Planning via Automated Domain Generation Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T15:52:17.071946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e63a20f-3dd4-4dad-a7cb-78aed7d8d142 · inbound

From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents cites this paper.

From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:46:10.680981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e0bdbc0e-00c5-43f5-9420-b04631e6f324 · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

Reference 177

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:06:09.651278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c4ad41f1-67ba-4dcc-8e11-b7eac6c3f06c · inbound

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning cites this paper.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T16:19:09.088543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ff5a442-5eac-4b57-a50d-dc0a02d2e3ac · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:33.482658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.