Paper Citation Record · LEDGER

Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2211.11602.

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

pith.paper-citation-record.v1
2211.11602 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:18:39.907673Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:32:33.097962Z

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 f0c690ad-23e6-4581-9afe-d75e29c970d6 · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:32:33.101236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation da9d4998-f419-4811-846d-12cbe65310da · inbound

Inducing Robustness in a 2 Dimensional Direct Preference Optimization Paradigm cites this paper.

Inducing Robustness in a 2 Dimensional Direct Preference Optimization Paradigm Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T04:18:39.907673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebb72092-549a-4dec-84b7-b23e74c8330b · inbound

Reward Models in Deep Reinforcement Learning: A Survey cites this paper.

Reward Models in Deep Reinforcement Learning: A Survey Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-15T19:38:50.410219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f65e64b5-3d56-4455-a2bc-a2f382acbf3d · inbound

Conditional Multi-Stage Failure Recovery for Embodied Agents cites this paper.

Conditional Multi-Stage Failure Recovery for Embodied Agents Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T19:18:22.770620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.