Paper Citation Record · LEDGER

TidyBot: Personalized Robot Assistance with Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.05658.

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

pith.paper-citation-record.v1
2305.05658 v2

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 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:19:45.526503Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T06:44:02.570914Z

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 7f2515c4-0efe-4124-89eb-083556f5aec0 · inbound

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

A Survey on Large Language Model based Autonomous Agents TidyBot: Personalized Robot Assistance with Large Language Models

Reference 136

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:03:00.760897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1f46ca97-96f5-4b71-9235-a18e08863942 · inbound

Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own cites this paper.

Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own TidyBot: Personalized Robot Assistance with Large Language Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-24T06:44:02.573709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eafda3b6-cf32-47c7-b69c-f8e4523e53a2 · inbound

Coloring Between the Lines: Personalization in the Null Space of Planning Constraints cites this paper.

Coloring Between the Lines: Personalization in the Null Space of Planning Constraints TidyBot: Personalized Robot Assistance with Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:19:45.526503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5227a78c-75d0-4f69-acb5-12cdee150c79 · inbound

FEAST: A Flexible Mealtime-Assistance System Towards In-the-Wild Personalization cites this paper.

FEAST: A Flexible Mealtime-Assistance System Towards In-the-Wild Personalization TidyBot: Personalized Robot Assistance with Large Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T00:15:20.799569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e030e69-16f9-428b-a14d-426c041d240e · 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 TidyBot: Personalized Robot Assistance with Large Language Models

Reference 270

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:35.337611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b90a6328-9207-459a-a5c5-f3ef1c2acf2b · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details TidyBot: Personalized Robot Assistance with Large Language Models

Reference 221

Resolution: unresolved; no resolver link, observed 2026-08-05T15:25:40.336573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.