Paper Citation Record · LEDGER

LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition Language

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.17309.

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

pith.paper-citation-record.v1
2503.17309 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:58:14.882168Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:09:34.107867Z

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 d46a71d0-730a-4c6f-957f-1fa215b2c8d6 · inbound

LLM-based Interactive Imitation Learning for Robotic Manipulation cites this paper.

LLM-based Interactive Imitation Learning for Robotic Manipulation LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition Language

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:58:14.882168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b603a4b-1f7d-4256-a775-dc8f8f4393e9 · inbound

Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.

Large Language Models for Planning: A Comprehensive and Systematic Survey LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition Language

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:53.523217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dbbf7a2-1cd9-417a-924d-ecc3de685de4 · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition Language

Reference 271

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:13:15.902112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a390a524-6378-4599-97b0-ec4ab5c95f93 · inbound

When control meets large language models: From words to dynamics cites this paper.

When control meets large language models: From words to dynamics LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition Language

Reference 180

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:54:12.952765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bd95e7e1-e816-4a97-9197-7e538d753429 · inbound

OOWM: Structuring Embodied Reasoning and Planning via Object-Oriented Programmatic World Modeling cites this paper.

OOWM: Structuring Embodied Reasoning and Planning via Object-Oriented Programmatic World Modeling LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition Language

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:30:16.497690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3a43e3b6-a3a1-409a-b511-362d9171c061 · inbound

One-to-Two Acting: A Novel Framework for Single-arm Agent Action Expansion to Dual Arms cites this paper.

One-to-Two Acting: A Novel Framework for Single-arm Agent Action Expansion to Dual Arms LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition Language

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:09:34.110259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.