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Paper Citation Record · LEDGER

Language Instructed Reinforcement Learning for Human-AI Coordination

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.07297.

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

pith.paper-citation-record.v1
2304.07297 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:30:09.240498Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T08:57:22.341682Z

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 9f8b1d9d-9f2b-4104-945d-c0959d25d811 · inbound

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models cites this paper.

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models Language Instructed Reinforcement Learning for Human-AI Coordination

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-13T08:57:22.343505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T08:57:22.299028Z digest=sha256:64d7461d37dd84fde1ca01b480a1eb68b1a2eb5e90b4c900a6c11581962c7ca6

Observation a596834c-90ed-4a55-9c85-5aae50cc25ce · inbound

A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback cites this paper.

A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback Language Instructed Reinforcement Learning for Human-AI Coordination

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T16:30:09.240498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:30:09.240498Z digest=sha256:c7b3dfcac46e54b5f6212d0e2ff58c9eaac752a04201dc7f6e526fb55ca8b760