Paper Citation Record · LEDGER

Learning Reward for Robot Skills Using Large Language Models via Self-Alignment

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.07162.

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

pith.paper-citation-record.v1
2405.07162 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:16:16.075876Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:40:06.260047Z

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 39c8f80d-14f8-4490-a6c5-ac087a5ae2e3 · inbound

Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement cites this paper.

Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement Learning Reward for Robot Skills Using Large Language Models via Self-Alignment

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:03:26.372189Z

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 2bf73be2-8b94-48a2-9fa0-e97d9d175e4e · inbound

Multi-agent Embodied AI: Advances and Future Directions cites this paper.

Multi-agent Embodied AI: Advances and Future Directions Learning Reward for Robot Skills Using Large Language Models via Self-Alignment

Reference 245

Resolution: unresolved; no resolver link, observed 2026-08-15T23:16:16.075876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26ddfd58-a516-47f2-8788-eead38b9148f · inbound

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding cites this paper.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Learning Reward for Robot Skills Using Large Language Models via Self-Alignment

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T18:19:49.153123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a33d748-71d1-4da2-9e15-c8bdd3c6327e · inbound

Reward Evolution with Graph-of-Thoughts: A Bi-Level Language Model Framework for Reinforcement Learning cites this paper.

Reward Evolution with Graph-of-Thoughts: A Bi-Level Language Model Framework for Reinforcement Learning Learning Reward for Robot Skills Using Large Language Models via Self-Alignment

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T16:06:58.747592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b153e98f-6073-4369-a060-27f51c52ca11 · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data Learning Reward for Robot Skills Using Large Language Models via Self-Alignment

Reference 262

Resolution: unresolved; no resolver link, observed 2026-08-03T08:15:36.911378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5367a71d-5839-4a92-95c2-1c972eded300 · inbound

ERFSL: An Efficient Reward Function Searcher via Language Models for Custom-Environment Multi-Objective Optimization (Student Abstract) cites this paper.

ERFSL: An Efficient Reward Function Searcher via Language Models for Custom-Environment Multi-Objective Optimization (Student Abstract) Learning Reward for Robot Skills Using Large Language Models via Self-Alignment

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T05:08:05.308615Z

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 622b837d-0fa1-4ed2-ba0a-639d46ae9355 · inbound

MAPL: Multi-Objective Preference Learning for Robot Locomotion cites this paper.

MAPL: Multi-Objective Preference Learning for Robot Locomotion Learning Reward for Robot Skills Using Large Language Models via Self-Alignment

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:40:06.261727Z

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.