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Paper Citation Record · LEDGER

Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2206.04779.

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

pith.paper-citation-record.v1
2206.04779 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:59:40.954327Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:00:26.184564Z

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 1d1ef4f6-74b2-439d-920f-f0373164c067 · inbound

An Open-Source Software Toolkit & Benchmark Suite for the Evaluation and Adaptation of Multimodal Action Models cites this paper.

An Open-Source Software Toolkit & Benchmark Suite for the Evaluation and Adaptation of Multimodal Action Models Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T04:59:40.954327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:59:40.954327Z digest=sha256:420e5775992b68f5eb0958787c946078e86cce8e1310fc575673d78ac3be9277

Observation 6b995397-c9a1-41cd-af16-1afddfa6abc0 · inbound

FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making cites this paper.

FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T17:12:28.879997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:12:28.879997Z digest=sha256:25b714ee96dc148f8aaea788bee3466a796897e13db46c052a8845c9154e37d3

Observation 46e05eeb-ca28-4700-8161-524ca57c99fb · inbound

VGAS: Value-Guided Action-Chunk Selection for Few-Shot Vision-Language-Action Adaptation cites this paper.

VGAS: Value-Guided Action-Chunk Selection for Few-Shot Vision-Language-Action Adaptation Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:00:26.204349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T07:00:01.741166Z digest=sha256:ebc0c221a54de81e70d0306b884a459116bb905936ca0a6d8a259c18030fe7f3

Observation 314e1e5b-319f-45fe-8372-b7646ffafd5d · inbound

Reinforcing VLAs in Task-Agnostic World Models cites this paper.

Reinforcing VLAs in Task-Agnostic World Models Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:27:14.286097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T04:17:51.349213Z digest=sha256:d428ec3d46382b6228fbdf55daee8572c207a7e5f4a07836614561a913eb864a

Observation efd8c01f-8305-4c31-bfa1-ba7ce4a6e2ae · inbound

Reinforcing VLAs in Task-Agnostic World Models cites this paper.

Reinforcing VLAs in Task-Agnostic World Models Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:14:03.094778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T08:13:40.975340Z digest=sha256:ec1b143aa6c74d79a37bdc9c078f2a0bffd3b1f3f3d81693e2b8dec750c4a316