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Paper Citation Record · LEDGER

RLBench: The Robot Learning Benchmark & Learning Environment

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:1909.12271.

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

pith.paper-citation-record.v1
1909.12271 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:17:47.318565Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:10:07.737880Z

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 0a948c24-6221-4b87-8eb5-5b8394f2e3e1 · inbound

GAE: Unleashing Physical Potential of VLM with Generalizable Action Expert cites this paper.

GAE: Unleashing Physical Potential of VLM with Generalizable Action Expert RLBench: The Robot Learning Benchmark & Learning Environment

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T11:38:12.683587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:38:12.683587Z digest=sha256:2008c7e65c8a8df394f6deaf9c4d346385ab7552be11f35ae5fc8d9bcce2d45c

Observation 7a9ce7ce-9b1d-4f22-a376-d4d2e01ec282 · inbound

RoboPlayground: Democratizing Robotic Evaluation through Structured Physical Domains cites this paper.

RoboPlayground: Democratizing Robotic Evaluation through Structured Physical Domains RLBench: The Robot Learning Benchmark & Learning Environment

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:00:52.026819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T18:46:08.897540Z digest=sha256:24f3411bd376d1c4e73171df056ac9b630e09799e26aac70732456f2386aad5d

Observation 165dcbe5-d8a8-4e00-9c70-f6fd48c289b5 · inbound

Mask World Model: Predicting What Matters for Robust Robot Policy Learning cites this paper.

Mask World Model: Predicting What Matters for Robust Robot Policy Learning RLBench: The Robot Learning Benchmark & Learning Environment

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:11:06.106855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T02:14:17.676675Z digest=sha256:f990096abd66114f76d34f4ff582064ea295acbf6e393fb62bdc15d9fd6f57ce

Observation 866505f8-ed92-4d4a-a1c6-1e824245d9fa · inbound

World Action Models: The Next Frontier in Embodied AI cites this paper.

World Action Models: The Next Frontier in Embodied AI RLBench: The Robot Learning Benchmark & Learning Environment

Reference 222

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:07:18.030614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-13T05:01:16.802019Z digest=sha256:cc58a6893f13dcd33298aaf8f1336b559995f3871283f272a5413501260e7ede

Observation 307d186e-1329-4890-a476-5545dd1d9a9b · inbound

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies cites this paper.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies RLBench: The Robot Learning Benchmark & Learning Environment

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:36:58.830410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T01:14:14.972805Z digest=sha256:c85415958b8fa79c3a044069a4e7c5bd4c11f7456a1e06ffbba095bcd3270d39

Observation df314f4e-5f2c-4ab5-a2c1-3e61f592a571 · inbound

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies cites this paper.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies RLBench: The Robot Learning Benchmark & Learning Environment

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-02T12:17:09.420240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:17:09.420240Z digest=sha256:dc6573935a47e462514a45d6f5e5c01299f57635396de9289f74cfeb8c14ec5c

Observation 9b493b7f-7602-43e8-b9e8-84d9e3f1b7f3 · inbound

AnnotateAnything: Automatic Annotation of 3D Assets for Robot Manipulation cites this paper.

AnnotateAnything: Automatic Annotation of 3D Assets for Robot Manipulation RLBench: The Robot Learning Benchmark & Learning Environment

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:38:55.416307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T01:15:50.904741Z digest=sha256:4b6bacade4962c08b177142f50eef211c8ac450fca0b4d2e2fdf9df442c7a5c8

Observation 0a92a2f1-7391-4dc8-ad23-6a4c30079db0 · inbound

MagicSim: A Unified Infrastructure for Executable Embodied Interaction cites this paper.

MagicSim: A Unified Infrastructure for Executable Embodied Interaction RLBench: The Robot Learning Benchmark & Learning Environment

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:58:58.018952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T01:00:07.465292Z digest=sha256:6a612a9ff2d20077c8c6c6a2b526db8feabe14b0020530473642c483c86d82d9

Observation 6d87baf5-341c-48cc-9610-d65a2fe32eec · inbound

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning cites this paper.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning RLBench: The Robot Learning Benchmark & Learning Environment

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:10:07.739719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-25T20:38:40.242221Z digest=sha256:6507695424e32c10b54e1233b1f7517d9f499eabe03e3eba39e07a66cfaefa71

Observation 3f2ad7a9-4304-4285-9335-943b472b0cb3 · inbound

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning cites this paper.

DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning RLBench: The Robot Learning Benchmark & Learning Environment

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:13:53.023113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:22e55c2c044cb41848c6c2f62a805e250ce429458eb93984d6118e0fc8033b5f

Observation 0f98de11-ba13-4468-8cb9-a12ad5c77127 · inbound

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models cites this paper.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models RLBench: The Robot Learning Benchmark & Learning Environment

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:49:53.086502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-26T05:46:21.198781Z digest=sha256:276f06079274b61d4bf31dc81cc5939851fda3d4eb3a66d4d7d5373299289f2e

Observation d02c8927-2f2c-4a2c-9e50-1d9f9357d209 · inbound

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models cites this paper.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models RLBench: The Robot Learning Benchmark & Learning Environment

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:39.308594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-30T10:19:06.268547Z digest=sha256:c87993f73ed6cbcd8909b744776277545ed213a96a53f569454e9e2f58b41b4c

Observation 82ab1d84-6500-4383-979a-40bc24d5f346 · inbound

RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies cites this paper.

RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies RLBench: The Robot Learning Benchmark & Learning Environment

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-11T19:13:23.494763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:13:23.494763Z digest=sha256:90701549155801d0b6ad61b4ce9cb33ac32c46b954dda71acebd67a23f9b8637

Observation 68a3a9bf-82bc-4e18-84d1-ed29a5c5571b · inbound

Data Pyramid for Embodied Manipulation: A Survey cites this paper.

Data Pyramid for Embodied Manipulation: A Survey RLBench: The Robot Learning Benchmark & Learning Environment

Reference 168

Resolution
unresolved
no resolver link, observed 2026-07-31T06:18:55.622068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T06:18:55.622068Z digest=sha256:bf7efd758dbd8639d32a7001c6a6192fb5c57520b65f1e2a77cfcbbfc9ca7e6d

Observation e7a7163b-cab0-4037-a2b5-9ecfdbf7b92b · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills RLBench: The Robot Learning Benchmark & Learning Environment

Reference 105

Resolution
unresolved
no resolver link, observed 2026-08-04T19:45:34.775883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:45:34.775883Z digest=sha256:99c5d3377fe2461fdea41974037751103c49976e77befb723a126e786e264f84

Observation 6da7c31f-7f3c-42ac-b73e-1d35b270a58d · inbound

XPolicyLab: A Unified Standard and Open Ecosystem for Robot Policy Evaluation and Deployment cites this paper.

XPolicyLab: A Unified Standard and Open Ecosystem for Robot Policy Evaluation and Deployment RLBench: The Robot Learning Benchmark & Learning Environment

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T04:54:23.820537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:54:23.820537Z digest=sha256:7b26b0bc3bb001979395ef207930107311c74934988267b16f4f8ae860d6d060

Observation 1bbf6d81-4430-4c01-85b1-b978df09bf9d · inbound

XPolicyLab: A Unified Standard and Open Ecosystem for Robot Policy Evaluation and Deployment cites this paper.

XPolicyLab: A Unified Standard and Open Ecosystem for Robot Policy Evaluation and Deployment RLBench: The Robot Learning Benchmark & Learning Environment

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-14T04:17:47.318565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:17:47.318565Z digest=sha256:815627f4a6ebba35992693e09a0d041b78c338266803a30caef85de2fe57f91b