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Paper Citation Record · LEDGER

Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2210.05178.

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

pith.paper-citation-record.v1
2210.05178 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:46:50.931186Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:00:25.981784Z

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 7cb0c039-f9de-4092-9c4d-d6922f0c1bea · inbound

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations cites this paper.

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-17T09:47:55.264591Z

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=2026-05-17T09:47:54.977716Z digest=sha256:70b5567d9ceff726d3ce57cb35939ce7d9e145fe3bf4d34812cb97c7b004341e

Observation 3a172bbe-4e24-4352-9e40-6f5f5c71c322 · inbound

Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation cites this paper.

Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:32:05.599926Z

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=arxiv_source observed=2026-05-13T16:32:05.538507Z digest=sha256:2d8fe33b25ad341b8950bd87fc78cea23a57a6b60bafd0c1da2fc262c3658b2e

Observation 89ddc89d-908c-499f-b0d1-d331f5462fff · inbound

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

RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-12T23:46:30.284105Z

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=2026-05-12T23:46:30.198761Z digest=sha256:624e80f38b9c50d086af791a41f5d838d88f49f7eb1bb9229c7c2db0f1378cc6

Observation 4d53e66d-3427-4d36-96cd-6657ec86ec71 · inbound

TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation cites this paper.

TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-17T16:12:26.115580Z

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=2026-05-17T16:12:25.980853Z digest=sha256:13b8bf495564958d5715d5f939bf55bd92db79a615c625066a4ee48c3d24d37d

Observation 272aad85-8ea2-4647-95b5-e973f165fe77 · 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 Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:00:25.986519Z

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:c7cd740d44c53faf40bca5ed129a56d1bb2fabcf8368c23977db6ac96c326cce

Observation e782e28f-f485-4aa0-94e7-250d969b7c02 · inbound

Target-Aligned Bellman Backup for Cross-domain Offline Reinforcement Learning cites this paper.

Target-Aligned Bellman Backup for Cross-domain Offline Reinforcement Learning Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-22T08:04:43.123384Z

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=2026-05-22T08:02:27.951445Z digest=sha256:ab27ea5e4e08bea86c413b54a3c992f85a0de8098964853d54e73ceaa8662d56

Observation 6626df48-ed06-4039-a9e1-05d6a92be0a1 · inbound

Regularized Offline Policy Optimization with Posterior Hybrid Bayesian Belief cites this paper.

Regularized Offline Policy Optimization with Posterior Hybrid Bayesian Belief Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-02T12:46:50.931186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:46:50.931186Z digest=sha256:508de078fbf80a51ecad22f70dfbfd85505fe8c49fece68fc311a3a35b76782c