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Paper Citation Record · LEDGER

Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.02379.

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

pith.paper-citation-record.v1
2311.02379 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:33:24.720474Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:39:51.072390Z

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 35a20351-9dcb-4908-9d72-170bb68edd5f · inbound

LLM-Driven Augmented Reality Puppeteer: Controller-Free Voice-Commanded Robot Teleoperation cites this paper.

LLM-Driven Augmented Reality Puppeteer: Controller-Free Voice-Commanded Robot Teleoperation Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T22:33:24.720474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:33:24.720474Z digest=sha256:fe62d5c1c5743458d44f68bb3137a3147d70c4166ce18e21872e5f822dd0e09c

Observation 50630c6a-eb46-46ab-b828-45ba6b1b598a · inbound

Where You Go is Who You Are: Behavioral Theory-Guided LLMs for Inverse Reinforcement Learning cites this paper.

Where You Go is Who You Are: Behavioral Theory-Guided LLMs for Inverse Reinforcement Learning Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:13.858125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:54:13.858125Z digest=sha256:81f53d0671660f4079b4c8f0888e6f6dea6693970cc256cc627595b6c501f113

Observation fd52d7c2-a247-4c49-bd5c-1d16c946ba82 · inbound

Automating Potential-based Reward Shaping with Vision Language Model Guidance cites this paper.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:39:51.073951Z

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.

source=arxiv_source observed=2026-06-26T05:00:24.832807Z digest=sha256:017a4a0ff780f760fed35dea259f418027a9ff7d723d6b5e3d81a8666a04b9f7