Paper Citation Record · LEDGER

A Workflow for Offline Model-Free Robotic Reinforcement Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2109.10813.

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

pith.paper-citation-record.v1
2109.10813 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:21:39.971010Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T05:09:45.492740Z

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 efd47eae-b278-493e-90a1-7d08862e39f1 · inbound

VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training cites this paper.

VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training A Workflow for Offline Model-Free Robotic Reinforcement Learning

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T04:42:52.724175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 80ab11a5-37f0-4459-b12c-6d74ec689f27 · inbound

RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots cites this paper.

RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots A Workflow for Offline Model-Free Robotic Reinforcement Learning

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T23:46:30.279721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5e27b303-fd48-4f7a-ab0e-5f3104b3219b · inbound

ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning cites this paper.

ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning A Workflow for Offline Model-Free Robotic Reinforcement Learning

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T10:20:41.880729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fefa85e-f16c-46aa-8db7-5f2987a40b3a · inbound

RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins cites this paper.

RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins A Workflow for Offline Model-Free Robotic Reinforcement Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T12:21:39.971010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af5e14c7-ecec-40e5-94ce-3a271f93ec70 · inbound

Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift cites this paper.

Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift A Workflow for Offline Model-Free Robotic Reinforcement Learning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:25.012026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2a59be93-50bb-496d-a721-448bb7027c42 · inbound

Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift cites this paper.

Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift A Workflow for Offline Model-Free Robotic Reinforcement Learning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:09:45.495452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.