Paper Citation Record · LEDGER

RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2111.02767.

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

pith.paper-citation-record.v1
2111.02767 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:17:55.243325Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:48:49.557451Z

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 16705d5a-b76f-4488-b4a1-7db4eb47a2fa · inbound

Robo-DM: Data Management For Large Robot Datasets cites this paper.

Robo-DM: Data Management For Large Robot Datasets RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:55.243325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f73ba9fa-2a70-4daf-885d-34fab1c6f45f · inbound

ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning cites this paper.

ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-16T03:12:11.898347Z

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.

Observation efa102b6-38c2-41c8-a3e7-e317edafd153 · inbound

ATLAS: An Annotation Tool for Long-horizon Robotic Action Segmentation cites this paper.

ATLAS: An Annotation Tool for Long-horizon Robotic Action Segmentation RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:16:26.014815Z

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.

Observation ed52bce4-9da7-4c7b-abce-be4058b70959 · inbound

RIO: Flexible Real-Time Robot I/O for Cross-Embodiment Robot Learning cites this paper.

RIO: Flexible Real-Time Robot I/O for Cross-Embodiment Robot Learning RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:42:03.045521Z

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.

Observation 0a19c6ec-c074-466c-bf20-f2c77228d36d · inbound

Nautilus: From One Prompt to Plug-and-Play Robot Learning cites this paper.

Nautilus: From One Prompt to Plug-and-Play Robot Learning RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:07:00.074494Z

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.

Observation b8157870-96fa-4c6b-a1d3-0fb0b6afe11d · inbound

Nautilus: From One Prompt to Plug-and-Play Robot Learning cites this paper.

Nautilus: From One Prompt to Plug-and-Play Robot Learning RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-02T14:19:55.599736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b093ef6-c406-45e2-a359-b6d2cf7eb351 · inbound

Vision-Language-Action Models: Experimental Insights from a Real-World UR5 Platform cites this paper.

Vision-Language-Action Models: Experimental Insights from a Real-World UR5 Platform RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:34:45.913338Z

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.

Observation 2f8b55b5-ee21-4f05-a197-3a89e56b887c · inbound

Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents cites this paper.

Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:06:40.628246Z

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.

Observation 9092a0e7-8054-4066-95f6-fc2fc0a351e6 · inbound

Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents cites this paper.

Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:48:49.559274Z

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.

Observation ca8d1961-63c0-4489-b5d5-66a0139b273d · inbound

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment cites this paper.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:40.524567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 006a9422-02b9-4bff-92e4-5e539d18cd90 · inbound

JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models cites this paper.

JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T21:32:06.814552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.