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Paper Citation Record · LEDGER

Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2301.04195.

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

pith.paper-citation-record.v1
2301.04195 v2

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 2026-08-19T06:32:44.657259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:00:39.057724Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T19:17:31.642946Z

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 b0cd32a7-677a-4e50-b93e-e3b9890bfdaf · inbound

Scaling Robot Learning with Semantically Imagined Experience cites this paper.

Scaling Robot Learning with Semantically Imagined Experience Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-17T18:59:10.497817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-17T18:59:10.352342Z digest=sha256:562e2a14c9c5b1a8a9cca6b1b4927edee565da87f4ea83dfef3ffa5836032287

Observation d493312a-45e8-4a9e-b5b0-762513fa6388 · inbound

Wheeled Lab: Modern Sim2Real for Low-cost, Open-source Wheeled Robotics cites this paper.

Wheeled Lab: Modern Sim2Real for Low-cost, Open-source Wheeled Robotics Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-08T13:00:39.057724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:00:39.057724Z digest=sha256:0133f1ae8025e34417c61ffd0f6de9aef3b9494fef9ae5ee235b0bd3ce1650a0

Observation 663b1465-c31a-4369-8ffe-52a5caa26822 · inbound

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects cites this paper.

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T12:25:48.756635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:25:48.756635Z digest=sha256:196d257b3769b742379119df34e23f2e8615d374a07e0394530e6e4c86ad17b4

Observation e4f34a22-d1c8-4aa0-a5a4-8e89f1903b36 · inbound

Too Much of a Good Thing: When sim2real Efforts Impede Policy Learning (And What to Do About It) cites this paper.

Too Much of a Good Thing: When sim2real Efforts Impede Policy Learning (And What to Do About It) Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T20:42:38.050784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T18:19:58.499360Z digest=sha256:8a0b147e82187ace0fa5c874961fa197f047b2e034dde9cd3591800e28988957

Observation 8399227f-c283-410e-8a3a-4f94f8d724b1 · inbound

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models cites this paper.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-11T17:36:01.254174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:c972f0afb0e56830ccea447c408a054fc4cc3a33d0c06cded6f7fb0a6d5d7dc0

Observation a2e0d3f4-36ed-45b8-a502-e831d005f8d9 · inbound

Behavior Foundations for Quadruped Robots: ABot-C0 Technical Report cites this paper.

Behavior Foundations for Quadruped Robots: ABot-C0 Technical Report Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

Reference 33

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T13:06:15.323811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-09T13:04:46.873048Z digest=sha256:af8e28d8ecdba02484986c1fd4a6e05867bdd521898332c3e0a57fd7cef7b7c1

Observation aa514885-fc9d-4cb4-996f-05870edd373d · inbound

Behavior Foundations for Quadruped Robots: ABot-C0 Technical Report cites this paper.

Behavior Foundations for Quadruped Robots: ABot-C0 Technical Report Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

Reference 33

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T19:17:31.644459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-10T19:10:58.614932Z digest=sha256:1c6905e8d6403601faac9908efece4b16708e1038cf3228c8ebb20085d5e1f6c

Observation 9c5cbdf7-44e8-4f02-bbcd-6d671c90e62d · inbound

FORGE-plus: Force-Budgeted Recovery for Contact-Rich Assembly with a Frozen LLM Supervisor cites this paper.

FORGE-plus: Force-Budgeted Recovery for Contact-Rich Assembly with a Frozen LLM Supervisor Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T08:12:03.512397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:12:03.512397Z digest=sha256:7386670800b4df1611746058b4b3aa859f724c11a0e0bacd0a4d7d6ca64bbe75

Observation cfbb742c-233b-4798-bac4-8f990ee4df73 · inbound

When Is a Learned Command Adapter Worth It? Closed-Loop Identification and Counterfactual Auditing of Frozen Locomotion Policies cites this paper.

When Is a Learned Command Adapter Worth It? Closed-Loop Identification and Counterfactual Auditing of Frozen Locomotion Policies Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-01T06:32:51.438757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:32:51.438757Z digest=sha256:4a432a0dd010c2560fcb694fbc2eee0bdde80f5a9ba59233a5ebee86943712f5

Observation 0a0199eb-54d4-457e-92b3-283dae147e39 · inbound

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

Data Pyramid for Embodied Manipulation: A Survey Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

Reference 279

Resolution
unresolved
no resolver link, observed 2026-07-31T06:18:55.909359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T06:18:55.909359Z digest=sha256:35fe23a6c883641ec269ede75d81f624a5e370babbac853685a70e1402ab6da9

Observation 387ff0ee-7eac-4e18-a6ef-094fb4079438 · 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 Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

Reference 183

Resolution
unresolved
no resolver link, observed 2026-08-04T19:45:35.060278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:45:35.060278Z digest=sha256:2d48b520a295188faf8bd01ce81a053ddc566ed72163be7217ef4b7da4ad6a01