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Paper Citation Record · LEDGER

Collaborating with language models for embodied reasoning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2302.00763.

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

pith.paper-citation-record.v1
2302.00763 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:11:00.808308Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6e634a0e-b5bc-4d35-9c98-40372be5af10 · inbound

A Survey on Large Language Model based Autonomous Agents cites this paper.

A Survey on Large Language Model based Autonomous Agents Collaborating with language models for embodied reasoning

Reference 138

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:03:00.779805Z

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.

source=pdf_text observed=2026-05-15T04:03:00.340349Z digest=sha256:bafae9565c4ce4568dc3f173c29fb4dc60f90376a49782dcaa4c1f85b206dc9f

Observation df76bc1d-d45c-42f6-ae6c-e20cdc5b5988 · inbound

Large Language Model based Multi-Agents: A Survey of Progress and Challenges cites this paper.

Large Language Model based Multi-Agents: A Survey of Progress and Challenges Collaborating with language models for embodied reasoning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:58:56.986999Z

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.

source=pdf_text observed=2026-05-12T06:58:54.921355Z digest=sha256:8cddd291f75caf6972cfa1899bc81d42783744ed5e9d9c488b94b5516c5ece9b

Observation 51f12f35-7d4c-4e0e-99da-4c78bd98eb4e · inbound

MALMM: Multi-Agent Large Language Models for Zero-Shot Robotics Manipulation cites this paper.

MALMM: Multi-Agent Large Language Models for Zero-Shot Robotics Manipulation Collaborating with language models for embodied reasoning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T11:57:03.917890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:57:03.917890Z digest=sha256:e80e1c1e23f380c3d2d1ce308b46076705f20a9cd3096a2e5e5598652364f5f8

Observation b3b3c10c-dc5a-4a3a-9226-4c2aeee91f91 · inbound

Embodied CoT Distillation From LLM To Off-the-shelf Agents cites this paper.

Embodied CoT Distillation From LLM To Off-the-shelf Agents Collaborating with language models for embodied reasoning

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T14:56:14.656576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:56:14.656576Z digest=sha256:3eacede7b525f7db397760aa25f1c9fa597e85b1e0b211c1b5a92c028f9a2f9d

Observation b3d59818-6969-48fb-b7b8-985ba977473d · inbound

Improving Vision-Language-Action Model with Online Reinforcement Learning cites this paper.

Improving Vision-Language-Action Model with Online Reinforcement Learning Collaborating with language models for embodied reasoning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T11:39:56.143523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T11:39:56.143523Z digest=sha256:b7a88feec2101644191c4a9b546519ff0541b0ba063044b45be42e9c91305f82

Observation 69920c71-be1e-4721-95a5-c12659af9a10 · inbound

Integrating LMM Planners and 3D Skill Policies for Generalizable Manipulation cites this paper.

Integrating LMM Planners and 3D Skill Policies for Generalizable Manipulation Collaborating with language models for embodied reasoning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-09T22:44:50.722753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:44:50.722753Z digest=sha256:c36ff7e52062eb84e83e5e0a5bdab863ea1d8777ced37a659e1c7ec4c809ce93

Observation 38e41e18-5a78-4b06-9489-e8c52c85552c · inbound

Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems cites this paper.

Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems Collaborating with language models for embodied reasoning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T12:39:38.062072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:39:38.062072Z digest=sha256:19c1304af48b1ff0a63a340bde015901f3fb66c3a5819b39a7705351b4b170eb

Observation d0edbe66-6bc0-4721-b5cb-a6d6882261dd · inbound

GhostShell: Streaming LLM Function Calls for Concurrent Embodied Programming cites this paper.

GhostShell: Streaming LLM Function Calls for Concurrent Embodied Programming Collaborating with language models for embodied reasoning

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-05T23:30:47.929421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:30:47.929421Z digest=sha256:ed25d76ed740152b6aa84b2d83c5f52329048e5d71eeae5347fa9dce2612c35d

Observation c2e33a4e-4900-42bc-b1f6-96d16332c448 · inbound

TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making cites this paper.

TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making Collaborating with language models for embodied reasoning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T16:11:00.808308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:11:00.808308Z digest=sha256:0e0c344550a5ddba9a00b18f5e0193a18ee0b58c120ba54f058e2303e765fa92

Observation a3a486a8-5f73-4e88-abbf-3cbf36d4fae2 · inbound

The Moltbook Files: A Harmless Slopocalypse or Humanity's Last Experiment cites this paper.

The Moltbook Files: A Harmless Slopocalypse or Humanity's Last Experiment Collaborating with language models for embodied reasoning

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:55:50.981507Z

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.

source=arxiv_source observed=2026-05-11T01:54:49.131461Z digest=sha256:8b27fb7b942211cc0c7501616ff2d770c4af37c6276261da7e675e5568c830c0