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Paper Citation Record · LEDGER

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation

As of 9 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2604.11386.

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

pith.paper-citation-record.v1
2604.11386 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:11:29.558490Z

measured 61 of 61 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

61 of 61 outbound references displayed

  • verified exact2
  • verified fuzzy24
  • unresolved4
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch30

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf8a3411-eb9a-4802-b48a-c28b0c7317ad · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T09:11:01.826354Z

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=2026-05-10T16:11:29.558490Z digest=sha256:eb3bae38f3e748d84a2fd4b50a91cdd61ef8fbe3478442efbbb1e330dcf1b87a

Observation 5b3535f4-cebe-47c3-bad2-95bc6de0aae8 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T09:11:01.853768Z

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=2026-05-10T16:11:29.558490Z digest=sha256:3fe7ab34d3aaa34926dce0f78b3f4578f501c0044eec3d3d2491628ed14ed8e5

Observation f79fc38c-57ac-41ee-abce-657faf60e6ff · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T09:11:01.847814Z

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=2026-05-10T16:11:29.558490Z digest=sha256:927e05d1042dd4758a0c1999c608ecd4914618e0f0e242fb7c417445f0111700

Observation 59b3c2c2-73e6-4fca-884f-2e3e7171ed74 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T09:11:01.837346Z

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=2026-05-10T16:11:29.558490Z digest=sha256:9a6b36223deee5882b0ffc5dab3c58b6d53e45f85f4ef36fb4da263373e416c5

Observation b51b91ab-2193-4b56-8da6-5d26665b04b8 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation RT-1: Robotics Transformer for Real-World Control at Scale

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T09:11:01.697745Z

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=2026-05-10T16:11:29.558490Z digest=sha256:8278379e3f11251ea808cdecb28f1e3ede67061393a59161eabadd3a3ba48387

Observation 14741fac-fa50-4d7a-8166-81d030da2a6f · outbound

This paper cites In: ICML (2024).

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: ICML (2024)

Reference 8

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verified fuzzy
raw_fallback, observed 2026-05-17T16:34:58.675798Z

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=2026-05-10T16:11:29.558490Z digest=sha256:dd84cd825def7514d2c406fe9e458eb5b41404ec4d8be76b617e02eb51565139

Observation 7745e842-42d2-4364-8def-827e50012805 · outbound

This paper cites GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation

Reference 9

Resolution
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arxiv_id, observed 2026-05-12T01:09:34.215368Z

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=2026-05-10T16:11:29.558490Z digest=sha256:8ea297aa346c75d9611940a2c043f5d671c24fa3860b0d9f61f7f344a7b3acab

Observation a313fdf1-7005-42f7-8e44-a6d3f6a652f1 · outbound

This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T09:11:01.603502Z

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=2026-05-10T16:11:29.558490Z digest=sha256:32dcf90983ae1badff286bce4c1a0a9467fd690c6d1de7e0e9526a3004d76c9e

Observation 9417db3b-9bb6-4a47-957f-6f008bd4a31a · outbound

This paper cites URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images

Reference 11

Resolution
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arxiv_id, observed 2026-05-11T09:11:01.773225Z

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=2026-05-10T16:11:29.558490Z digest=sha256:d458ec74079ee8c58c36fb4d11c00402ac96ce05e92728b4e6a40e0509bc3e6d

Observation 4e2b7a3d-fc04-407b-a121-af33eb372b67 · outbound

This paper cites The International Journal of Robotics Research p.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation The International Journal of Robotics Research p

Reference 12

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raw_fallback, observed 2026-05-17T16:34:58.603196Z

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=2026-05-10T16:11:29.558490Z digest=sha256:51a6fabc03d80924e3aa3b178af61eed482d3021fcc689ac2d3ba0556d116fa2

Observation f8fb8efb-b79e-4634-855c-c70596651feb · outbound

This paper cites Automated Creation of Digital Cousins for Robust Policy Learning.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Automated Creation of Digital Cousins for Robust Policy Learning

Reference 13

Resolution
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arxiv_id, observed 2026-05-11T09:11:01.619756Z

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=2026-05-10T16:11:29.558490Z digest=sha256:16c7342c2e7e7406e7d4366f019965a8523f69fabcea203fd4cd51bf5680f87e

Observation 699d5be9-998d-4ad4-b759-0b30f302d2eb · outbound

This paper cites Advances in neural information processing systems36, 9156–9172 (2023).

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Advances in neural information processing systems36, 9156–9172 (2023)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:34:58.609458Z

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=2026-05-10T16:11:29.558490Z digest=sha256:c47de302562a68edb705a6213434be0ca8076a9e69904b0796d622a639818160

Observation b2079bf6-1790-4289-90db-9413b9a516d2 · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2023).

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: The Eleventh International Conference on Learning Representations (2023)

Reference 15

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raw_fallback, observed 2026-05-17T16:34:58.606151Z

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=2026-05-10T16:11:29.558490Z digest=sha256:2bdba0d8df278f1521d7ec40640cad08c3d15ff9e7de7c7198f26600610222f3

Observation c859f661-b3c2-41fe-a62d-0e13d7137cd7 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 16

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arxiv_id, observed 2026-05-12T22:24:10.313148Z

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=2026-05-10T16:11:29.558490Z digest=sha256:2e8fef337bd6349d13334d427d965a1554718437aaf4b6b14fae9141f7279a8d

Observation ad817181-4431-4f4d-9e52-bc366f64db35 · outbound

This paper cites Advances in neural information processing systems30(2017).

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Advances in neural information processing systems30(2017)

Reference 17

Resolution
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raw_fallback, observed 2026-05-17T16:34:58.625304Z

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=2026-05-10T16:11:29.558490Z digest=sha256:ce8a7e302f3f3ff5e309207cfde6923c76d898ed661b7f7fc8555d58eaff9597

Observation f865568a-0905-4af0-bcd1-0868afbfc318 · outbound

This paper cites 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations

Reference 18

Resolution
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arxiv_id, observed 2026-05-17T22:00:05.246520Z

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=2026-05-10T16:11:29.558490Z digest=sha256:eadd42cec13393924b2eb0394489e05f003a6aee363fc419a845550004a4281b

Observation 79d8556a-cc9e-4bd1-8cee-8a379d702aff · outbound

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 19

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local_arxiv, observed 2026-05-11T09:11:01.669413Z

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=2026-05-10T16:11:29.558490Z digest=sha256:cdbeb14727b936c878b4a6b3169c0ce9bd0a8630566389424f763250e684feae

Observation eecf344c-6892-4aec-97ac-5c7dc4a992b8 · outbound

This paper cites In: 8th Annual Conference on Robot Learning.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: 8th Annual Conference on Robot Learning

Reference 20

Resolution
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raw_fallback, observed 2026-05-17T16:34:58.621786Z

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=2026-05-10T16:11:29.558490Z digest=sha256:1248f78b6fed8057b71685ea589785677966bcc8b124d702e00192dd5b762d0c

Observation fb396572-8724-4147-8c5f-50bbdb92c5a6 · outbound

This paper cites Learning to Act from Actionless Videos through Dense Correspondences.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Learning to Act from Actionless Videos through Dense Correspondences

Reference 21

Resolution
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arxiv_id, observed 2026-05-11T09:11:01.576249Z

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.

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Observation 17801e66-25c5-455c-a2c8-d6c41bee2f28 · outbound

This paper cites arXiv (2017).

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation arXiv (2017)

Reference 22

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verified fuzzy
raw_fallback, observed 2026-05-17T16:34:58.678537Z

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=2026-05-10T16:11:29.558490Z digest=sha256:5e51f6691470bb0715d0a07f29a2ebce7f00d0c7809231bc0e430c07fc51594a

Observation 24d18af1-288a-41ec-a262-3a027578fdf7 · outbound

This paper cites In: 6th Annual Conference on Robot Learning (2022), https://openreview.net/forum?id=_8DoIe8G3t.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: 6th Annual Conference on Robot Learning (2022), https://openreview.net/forum?id=_8DoIe8G3t

Reference 23

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raw_fallback, observed 2026-05-17T16:34:58.667327Z

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=2026-05-10T16:11:29.558490Z digest=sha256:320cffad400f93d5581329a3b2db2c4995e2fe6a55e8e674b633d4e3cc674fe9

Observation 6707b904-7c09-4902-8169-9c4919e93b82 · outbound

This paper cites CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 24

Resolution
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arxiv_id, observed 2026-05-11T09:11:01.569931Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:11:29.558490Z digest=sha256:da84f24eddaab88e8a3178aed499c9a91987503ce4f206d21e576e2371a8c715

Observation 7a6d4bcc-6db4-49e2-bb0e-129f313c8aee · outbound

This paper cites In: International Conference on Machine Learning.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: International Conference on Machine Learning

Reference 25

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raw_fallback, observed 2026-05-17T16:34:58.670280Z

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=2026-05-10T16:11:29.558490Z digest=sha256:59041d98421c140eb3a39b559a7d5f0e1790564383feab41b94353f3ab231143

Observation 805aa075-be36-4645-83ce-6596d4c77b42 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 26

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raw_fallback, observed 2026-05-17T16:34:58.673054Z

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=2026-05-10T16:11:29.558490Z digest=sha256:f754a879d8514ce9f1329e6f571f5877baacd36235d2f224e0b25fc2fa6b218a

Observation 16987b39-1c20-41ce-ba7d-affa9881e3d2 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 27

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raw_fallback, observed 2026-05-17T16:34:58.684323Z

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=2026-05-10T16:11:29.558490Z digest=sha256:787307722dfaa7aa0829130dda4a41104f0ab7419df0d07d588e10f72f99f895

Observation f9fd71df-51a6-46e9-91c9-7390a11aa083 · outbound

This paper cites RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Reference 28

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local_arxiv, observed 2026-05-11T09:11:01.789222Z

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=2026-05-10T16:11:29.558490Z digest=sha256:8d289552abfd76b225b74a8a8bee91cfd035e15cf48afb5d161b69cdd3ea9a2c

Observation 773b3815-39e8-4965-864b-56c957ee6020 · outbound

This paper cites IEEE Robotics and Automation Letters (2023).

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation IEEE Robotics and Automation Letters (2023)

Reference 29

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raw_fallback, observed 2026-05-17T16:34:58.681573Z

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=2026-05-10T16:11:29.558490Z digest=sha256:9e99b7941df9185762949ad2aa286ebea4ea9b51e3b5dc1d224da5e698832fae

Observation 365fb242-26cf-427b-8083-b66fa8509bf6 · outbound

This paper cites In: Vanschoren, J., Yeung, S.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Vanschoren, J., Yeung, S

Reference 30

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raw_fallback, observed 2026-05-17T16:34:58.659015Z

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=2026-05-10T16:11:29.558490Z digest=sha256:bb2e80f61f6f5a6df8526cf1bb423ee18a2917d3d6741acd864513f894afb1fd

Observation d3af9dd5-c4e5-4949-a61a-9a39a57d8d1d · outbound

This paper cites In: 7th Annual Conference on Robot Learning (2023).

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: 7th Annual Conference on Robot Learning (2023)

Reference 31

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raw_fallback, observed 2026-05-17T16:34:58.600091Z

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=2026-05-10T16:11:29.558490Z digest=sha256:2098bdf8ac65b26ccae15204018b1c5665f35229b3b925d5369c12c43ea5800c

Observation e12fda5d-0d8f-48b2-9ffa-0318fe3097b4 · outbound

This paper cites RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version).

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version)

Reference 32

Resolution
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arxiv_id, observed 2026-05-11T09:11:01.796929Z

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=2026-05-10T16:11:29.558490Z digest=sha256:7de25d9eb0f581a5ba61e2d1a04dc4215846b579d81d28abf93fb9128aa6b7e2

Observation 00030127-2adf-45ed-90dd-d03e86f66eb0 · outbound

This paper cites In: Robotics: Science and Systems (RSS) (2024).

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Robotics: Science and Systems (RSS) (2024)

Reference 33

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raw_fallback, observed 2026-05-17T16:34:58.618738Z

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=2026-05-10T16:11:29.558490Z digest=sha256:61dbbe695daff08ac196113b63450026a07286d6b541c9adeb0664b171d80230

Observation 9086bf66-50f1-4553-abf8-af9bf7757558 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Cosmos World Foundation Model Platform for Physical AI

Reference 34

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local_arxiv, observed 2026-05-11T09:11:01.659164Z

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=2026-05-10T16:11:29.558490Z digest=sha256:fcb18aa20fa8d41655a1e10453aa4473c5d9e9fc9f54c134068ac7c5b57aed31

Observation e8743d0c-8cdb-407b-8630-d0807e64f06f · outbound

This paper cites In: Proceedings of Robotics: Science and Systems.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Proceedings of Robotics: Science and Systems

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:34:58.655964Z

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=2026-05-10T16:11:29.558490Z digest=sha256:597f699e0ae93de2a5020b5d566612a0672b4e9280a49eca06d7b785f0d0a4e6

Observation 17f7371f-d10a-4cf2-ae18-1c1e91c3e25f · outbound

This paper cites an unresolved cited work.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Unresolved cited work

Reference 36

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unresolved
raw_fallback, observed 2026-05-17T16:34:58.664364Z

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=2026-05-10T16:11:29.558490Z digest=sha256:07602a1d046d4ca935b0fd7513af553619ee57dc103cb8fd18ac1dfdef9e513a

Observation c4ecccdd-ce1b-4320-9bc9-82edcce3ebaf · outbound

This paper cites an unresolved cited work.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:34:58.628369Z

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=2026-05-10T16:11:29.558490Z digest=sha256:1d8e50e2c13a7edcae1a150177653d1daef2243708d053c1bf5d764ccca262f8

Observation e6959471-2d16-402d-bb64-101ee56f2a7f · outbound

This paper cites RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:11:01.554080Z

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=2026-05-10T16:11:29.558490Z digest=sha256:1d15a1159abbaf838c2871bd6c625923bd33998c2fe84b286c69e7bd28f59371

Observation 76e9d26a-afb5-401d-be1c-5b0d922df335 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 39

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verified fuzzy
raw_fallback, observed 2026-05-17T16:34:58.631646Z

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=2026-05-10T16:11:29.558490Z digest=sha256:df33a1632376f0cb9da2e4a6f2821e51b106ec9ab7b5b5dcf96ea616211f5382

Observation be6ec99d-1144-4c2c-b190-88eb42fd8dba · outbound

This paper cites Proximal Policy Optimization Algorithms.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Proximal Policy Optimization Algorithms

Reference 40

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metadata mismatch
local_arxiv, observed 2026-05-11T09:11:01.561336Z

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=2026-05-10T16:11:29.558490Z digest=sha256:4c4ef16395df7ac2f37634ec4f748691b372ea28f29ae8304b8ea2a312d2239a

Observation c14d481a-cafb-4a61-aa66-b1c08dd89c83 · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2021).

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Advances in Neural Information Processing Systems (NeurIPS) (2021)

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:34:58.653132Z

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=2026-05-10T16:11:29.558490Z digest=sha256:396e580cdc71550f4071993b212a61c828068bdcbb5258d15cf73e8b0b96a23b

Observation acf02a8d-45ac-4d1a-9cc0-9f8f4b4f658d · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Gemini: A Family of Highly Capable Multimodal Models

Reference 42

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T09:11:01.718355Z

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=2026-05-10T16:11:29.558490Z digest=sha256:1dff8646473defc3b54e3d1971c26cbda22d90f92164c923a98ba916f0b56d53

Observation 68d2b1a0-9bab-4b2c-b0dc-bd08e18a71e3 · outbound

This paper cites Mujoco: A physics en- gine for model-based control, in: 2012 IEEE/RSJ International Con- ference on Intelligent Robots and Systems, IEEE.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Mujoco: A physics en- gine for model-based control, in: 2012 IEEE/RSJ International Con- ference on Intelligent Robots and Systems, IEEE

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-10T16:15:34.664189Z

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=2026-05-10T16:11:29.558490Z digest=sha256:7a8e860ab31fe680f3bc95f259ce87de58906ea6c5b91bbfaeea7330b480c244

Observation 07b8e730-3abc-49ab-aafb-e0513f939957 · outbound

This paper cites Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:11:01.734839Z

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=2026-05-10T16:11:29.558490Z digest=sha256:a64c49d8fa4cd80cb2afe0d62b413eaa5ad52d6798a47a921a640647cd0ec7ab

Observation f2663d30-c40d-4573-bf29-3e831b1a1dbf · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation LLaMA: Open and Efficient Foundation Language Models

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T09:11:01.630489Z

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=2026-05-10T16:11:29.558490Z digest=sha256:71e6694e04081b06766ae0fccf470960a72367bfde6c8633c67a2ea19b6fb1de

Observation 346799bd-8094-427f-93bd-7537494d59e3 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 46

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T09:11:01.548488Z

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=2026-05-10T16:11:29.558490Z digest=sha256:a4ed26e35eeba3a6ac6ccf324250dba7917069b45c91ec2f7b4dc41daf8ec4da

Observation 3c6319fc-d14c-4bf4-b578-c32865fd8504 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 47

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T09:11:01.637110Z

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=2026-05-10T16:11:29.558490Z digest=sha256:a214d27e87cc706f5c2817e242e1a01143c1616902346bc5b8216cf4d556233c

Observation 88c771be-09d7-4dcf-a954-ab757724250d · outbound

This paper cites In: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:34:58.615707Z

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=2026-05-10T16:11:29.558490Z digest=sha256:c48f26ce1dec10d4d3c27bf105a9bf91f43a351cf83ec91a60eeb81c7a81d981

Observation c9422c2d-4d59-468b-a747-0fc7ed708d27 · outbound

This paper cites DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:11:01.586556Z

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=2026-05-10T16:11:29.558490Z digest=sha256:dd692458f6f90c544d408d5f4242dd8c4d78f52d3a4e72792b3f8592678712d2

Observation 690dec58-1e27-4cf0-9d44-7164cc1146d9 · outbound

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

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation

Reference 50

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T16:32:05.974462Z

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=2026-05-10T16:11:29.558490Z digest=sha256:4bdc7c3af89bc5361658bf5701495432524e3eb6578ec23f4be17343505e9a67

Observation 3b2388c6-1d0f-48f2-9781-2662204683e0 · outbound

This paper cites In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2020).

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2020)

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:34:58.641456Z

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=2026-05-10T16:11:29.558490Z digest=sha256:008cbc64885becbad476381f6ffafad66b7c12f53ed93670d635cacb070f0413

Observation bcdce1be-22d6-4e59-b0bb-3f3ce2dec1fc · outbound

This paper cites DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:11:01.764026Z

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=2026-05-10T16:11:29.558490Z digest=sha256:fea0ae2a79286f7660e488788e561162e56db72e9142a111caeffd154c037480

Observation f26cf1b4-9453-464a-9278-4742c47f1bc7 · outbound

This paper cites Learning Interactive Real-World Simulators.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Learning Interactive Real-World Simulators

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T02:15:18.951679Z

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=2026-05-10T16:11:29.558490Z digest=sha256:34ebb19308fc2c74370a97934ce6f2fc9a4a51d85ecadef626b2d947770d0875

Observation 10602388-f959-4aec-ba49-ef891fda5f7f · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:34:58.644305Z

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=2026-05-10T16:11:29.558490Z digest=sha256:2ac444eac9e43b200e343ffb2cf67c492e979c6a68a38db096e7758efad32cac

Observation aa3340ee-e33a-4a2c-bff8-eedca8f03edf · outbound

This paper cites In: CoRL 2024 Workshop on Whole-body Control and Bimanual Manipulation: Applications in Humanoids and Beyond.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: CoRL 2024 Workshop on Whole-body Control and Bimanual Manipulation: Applications in Humanoids and Beyond

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:34:58.650024Z

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=2026-05-10T16:11:29.558490Z digest=sha256:05ddfe7288a89b0f95e72622e68d81de637ced184569765a2ce8828cccd296ac

Observation b7f03255-1364-4f60-889d-66e9e3b02de4 · outbound

This paper cites an unresolved cited work.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:34:58.661594Z

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=2026-05-10T16:11:29.558490Z digest=sha256:324fa9628237695c5abcb55420c4edac6d0d2566eb725fe04e083ee0234ef8ff

Observation f10a9c4b-7339-4a9b-a007-c51a2c53122f · outbound

This paper cites Scaling Robot Learning with Semantically Imagined Experience.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Scaling Robot Learning with Semantically Imagined Experience

Reference 57

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T18:59:10.716066Z

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=2026-05-10T16:11:29.558490Z digest=sha256:ad66cec43c28131d93766b1a20d371a6e7c4d3e903bfc25bb6437b59967f9f3d

Observation a2b49d95-dd3c-4308-8bf5-e79fdfd95c56 · outbound

This paper cites In: Proceedings of Robotics: Science and Systems (RSS) (2024).

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Proceedings of Robotics: Science and Systems (RSS) (2024)

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:34:58.612330Z

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=2026-05-10T16:11:29.558490Z digest=sha256:47c914a9b149c8343477191e21e21f40dd420f2de4aaa363f450becfed2f66f1

Observation f7e36014-83fe-4f18-8cea-f1dcb27263c0 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T16:34:58.638295Z

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=2026-05-10T16:11:29.558490Z digest=sha256:cf1b9925361bb2a0dffecb98f9f8e6d6978c5f7d73b0fd13fdfbb9724caeba13

Observation 46979c4f-6544-4791-9f24-2e327d2f6fcc · outbound

This paper cites an unresolved cited work.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-05-17T16:34:58.647171Z

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=2026-05-10T16:11:29.558490Z digest=sha256:c3d901b0613207e314671f67d1e21e74f1c289bbf48392bfefd2b724a198d97b

Observation 584e18bf-509f-435e-ae22-864ec0d99188 · outbound

This paper cites RoboDreamer: Learning Compositional World Models for Robot Imagination.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation RoboDreamer: Learning Compositional World Models for Robot Imagination

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T20:47:30.400020Z

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=2026-05-10T16:11:29.558490Z digest=sha256:708018b305a4f2430a14154b18bb89aa55de592d213019fe70568f2e45905213

Observation 758d1b41-ee3d-4ddf-a456-ae120bcc658b · outbound

This paper cites IRASim: A Fine-Grained World Model for Robot Manipulation.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:11:01.779469Z

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=2026-05-10T16:11:29.558490Z digest=sha256:727a87a0d2314c9b5dd99838c0098a4a3a39c96b732306ee2373ada4896e18dc

Observation 02070de5-b8d7-485d-9655-fa68d8ef9d24 · outbound

This paper cites Change the image style from the image style of the simulated environment to the image style captured by a DSLR camera.

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Change the image style from the image style of the simulated environment to the image style captured by a DSLR camera

Reference 63

Resolution
malformed identifier
raw_fallback, observed 2026-05-17T16:34:58.634892Z

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=2026-05-10T16:11:29.558490Z digest=sha256:ead93672aa602be502f2f95c968d11179b062b7bc85611c1626674f01d90bbd0

Pith citing papers

No inbound Pith citation observations are available.