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Paper Citation Record · LEDGER

Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T18:59:10.352342Z digest=sha256:8d7b5086230bf64e87af076fcf40f37cc384cd2b43466cf434e79bcad11ee483

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=sha256:86658adb0d553eb2271dfbd314ed304e6197b37a7fbc27e2ff279ad6ffeeb1d3

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:feb34b0a71e8d9cf86cd2db93ef96f785410b86fa02b32b34de2393188645c9a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T18:19:58.499360Z digest=sha256:4918ce0370e83e0a6ea96fe9c09e0b8534243c1b05a4a8d9c9dd192423e89523

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=sha256:0cbb2721642bbd95eca1bc11763eabf59d420a38c97e2723c26aac2c5efb4047

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-09T13:04:46.873048Z digest=sha256:f29b04ebf596e4cff6448fd61fbc3f93af303067baf7bcfcae1999332e728a9b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T19:10:58.614932Z digest=sha256:a8f21eeea006643bdd50363df81805ec36c9c99d4462da5b7661609eb77b085d

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=sha256:485c752c101dd6c518016bde799882d0b97e85c1ad214bc53a012b3fb7b63e4f

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:e01cad94a1d0b39797ee268a112fe46db5e5c0a6fae6c29b82a5c65dff4256de

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

Data Pyramid for Embodied Manipulation cites this paper.

Data Pyramid for Embodied Manipulation 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=sha256:68ab814ae91025cc63f1dcb161a5b248fdac461895c82f18e22105c6e541d5df

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:e952f8014ac1e678c7bb8ace5093b92a32cd8c3c6ffc7e2bd12226535673c98a