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Paper Citation Record · LEDGER

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation

As of 5 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 3 inbound Pith citation observations for arXiv:2606.18610.

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

pith.paper-citation-record.v1
2606.18610 v3

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T05:06:30.594399Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T07:02:51.850836Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T03:05:55.193502Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact22
  • verified fuzzy0
  • unresolved4
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb192d5e-1fd3-4ce2-bba5-aa5ba5e95ea3 · outbound

This paper cites RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies

Reference 1

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local_arxiv, observed 2026-06-29T18:23:51.394274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation b4f3ec16-d9d3-4486-857d-6ed33e0720e1 · outbound

This paper cites an unresolved cited work.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation Unresolved cited work

Reference 2

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no resolver link, observed 2026-06-29T05:06:30.594399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:3c58cc49e49d96334dc4597d6fc67bcee1771dbd59b1332b0af8c9c83f67ba73

Observation 138a1cf9-7e23-40dd-bc20-a3543e6897ad · outbound

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

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 3

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arxiv_id, observed 2026-06-29T18:23:51.387479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:0ad02d578b8d5cd4afe6e2f095af3ab0f89a828e16690f3986616df487ba35b9

Observation b7dfe3cf-aae9-4a04-ac1e-186f20927ead · outbound

This paper cites WorldGym: World Model as An Environment for Policy Evaluation.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation WorldGym: World Model as An Environment for Policy Evaluation

Reference 4

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arxiv_id, observed 2026-06-29T05:13:06.584355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:c771f04367780e0a2d4aae030ba7b1f5981b0b91bc5c953dfcb1ebd88018b580

Observation 5a8de0c1-4aa0-4c72-be89-c56ee43f9d46 · outbound

This paper cites Scalable Policy Evaluation with Video World Models.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation Scalable Policy Evaluation with Video World Models

Reference 5

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arxiv_id, observed 2026-06-29T18:23:51.421240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:f406c64a79a844aa0a796f6c5d9bb8a6034461f4c9b46147ccc95bacab580c91

Observation aa9f458b-cf06-430a-a74b-a29b3fbcdc53 · outbound

This paper cites Ctrl-World: A Controllable Generative World Model for Robot Manipulation.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation Ctrl-World: A Controllable Generative World Model for Robot Manipulation

Reference 6

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local_arxiv, observed 2026-06-29T18:23:51.385000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:59862bc6728b15c05e4a047db90377f61f644ccfade4d1a47c4e173b0e5721f4

Observation f2873a95-af0e-413d-9628-3d37f10b9bd0 · outbound

This paper cites Unified Video Action Model.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation Unified Video Action Model

Reference 7

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local_arxiv, observed 2026-06-29T18:23:51.398835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:9db8395f9b53adfbeebff4763ce73d8b5dfe2593a195917407ba8a5a0ba620f1

Observation 9ed2922e-6f72-49b5-99c4-1bd23c267d12 · outbound

This paper cites Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets

Reference 8

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local_arxiv, observed 2026-06-29T18:23:51.377577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 43ee7b49-2995-4cb3-8038-0041d7dca188 · outbound

This paper cites World Simulation with Video Foundation Models for Physical AI.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation World Simulation with Video Foundation Models for Physical AI

Reference 9

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local_arxiv, observed 2026-06-29T18:23:51.418723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:e31ac521211c8c1437c6b2e167a24d58de4f8cd8c040f8cb259775c52c30efc8

Observation 4fc73fbb-5c45-4072-82c5-dfd307f2e9c9 · outbound

This paper cites Atreya, K.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation Atreya, K

Reference 10

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no resolver link, observed 2026-06-29T05:06:30.594399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:581018bd32362054cd92e6cdc9506f92899d28ebf4c32e9258daf331787cc22b

Observation 7196b413-41a2-4b36-a291-99ef5fe624e6 · outbound

This paper cites Evaluating Real-World Robot Manipulation Policies in Simulation.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation Evaluating Real-World Robot Manipulation Policies in Simulation

Reference 11

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local_arxiv, observed 2026-06-29T18:23:51.411461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:c6e7ddf967f3ff41a0af6d790a747714f6f1810d7626884b4a08acb23d3a4a5f

Observation c85b3284-1b21-4e03-864b-a9d0f510f65b · outbound

This paper cites Evaluating Gemini Robotics Policies in a Veo World Simulator.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation Evaluating Gemini Robotics Policies in a Veo World Simulator

Reference 12

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arxiv_id, observed 2026-06-29T18:23:51.414061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:6cf1da4d05efa5219976cf794aa06784b920a175df0de6bac27851317345ccd5

Observation 9a2f4b17-ee19-4a04-a59a-d2b946825e96 · outbound

This paper cites dWorldEval: Scalable Robotic Policy Evaluation via Discrete Diffusion World Model.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation dWorldEval: Scalable Robotic Policy Evaluation via Discrete Diffusion World Model

Reference 13

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local_arxiv, observed 2026-06-29T18:23:51.396613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:d01255f1e10aab14abc13040885b665b790da13600b34e5f7fb136a740d83502

Observation e05da038-01e0-4c87-aa6c-e6f80a1f42e8 · outbound

This paper cites Interactive world simulator for robot policy training and evaluation.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation Interactive world simulator for robot policy training and evaluation

Reference 14

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arxiv_id, observed 2026-06-29T18:23:51.372639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 2d983a26-e6f9-4e3d-afd1-40cb10bbc967 · outbound

This paper cites an unresolved cited work.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation Unresolved cited work

Reference 15

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no resolver link, observed 2026-06-29T05:06:30.594399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:0208fd42ef9bf3263e45f218a12c6176b0b879a447efa03fe9966c3141a78de4

Observation e6de1b95-4684-4ade-81d9-0872638a8374 · outbound

This paper cites World Action Models are Zero-shot Policies.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation World Action Models are Zero-shot Policies

Reference 16

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local_arxiv, observed 2026-06-29T18:23:51.416538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:0c04b9d881566eaa54fc75c757bf38e457c68c3aba9f79ae38cfa4b9d1803e34

Observation ef5749c4-84b6-4356-a193-c194fde4e5bd · outbound

This paper cites World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry

Reference 17

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local_arxiv, observed 2026-06-29T18:23:51.369876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:d90bdb628fbcb1bf145765346f684baf3a43cd5420a6f99af92168e6f1a073ea

Observation c464382d-43ac-4f21-b102-ff0aa8aa248c · outbound

This paper cites Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

Reference 18

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local_arxiv, observed 2026-06-29T18:23:51.401343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:3412361cfdd47776fdbe0e1a5dcedb278bcbbebab538a713bc7e5b723e01f961

Observation ebadb2f7-ac34-4ffd-99d4-778e56f57cdc · outbound

This paper cites World models that know when they don’t know: Controllable video generation with calibrated uncertainty.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation World models that know when they don’t know: Controllable video generation with calibrated uncertainty

Reference 19

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arxiv_id, observed 2026-06-29T18:23:51.406325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:8efa3bbd9426a85106113a404359156e47dc7d836db98d49d4ab19f4b7dd6880

Observation 7e11c8a2-cc2d-4a84-b83f-d9a32aba5ef1 · outbound

This paper cites Kidambi, A.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation Kidambi, A

Reference 20

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no resolver link, observed 2026-06-29T05:06:30.594399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:cb0c376d497797e2f78572d40770cdcf91dd50e3f21c0dd3cb239be52abbd2ec

Observation 190a053d-cf96-463e-91ef-d47a53361bac · outbound

This paper cites MOReL : Model-Based Offline Reinforcement Learning.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation MOReL : Model-Based Offline Reinforcement Learning

Reference 21

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arxiv_id, observed 2026-06-29T18:23:51.380132Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:8d0541ab0931c9caf8ea189f3c24dfb24bdcd60907fd966409ae6d8abd3fb905

Observation 9a78598c-f066-49e4-9837-c50e6cd2fa3c · outbound

This paper cites MOPO: Model-based Offline Policy Optimization.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation MOPO: Model-based Offline Policy Optimization

Reference 22

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arxiv_id, observed 2026-06-29T18:23:51.382724Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:4d4a39231065eb4bd16aedcaaced3f99a8c510e9b1af7e12d3cffc78d368e3f9

Observation b6c19015-8863-419a-a00d-ae261b110023 · outbound

This paper cites Cosmos 3: Omnimodal World Models for Physical AI.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation Cosmos 3: Omnimodal World Models for Physical AI

Reference 23

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local_arxiv, observed 2026-06-29T18:23:51.389791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:158d1d1eb3207c47ff78f2ee8dac79f6dc8ff5a0a293f66d53fb8dc554ad3b3e

Observation 8371c921-cd39-4170-98f8-98b647b5adee · outbound

This paper cites Flow Matching for Generative Modeling.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation Flow Matching for Generative Modeling

Reference 24

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local_arxiv, observed 2026-06-29T18:23:51.403544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:13728fb93e22f737b81d11ea4181cb977ae85bceceec7e203bff2d7d2bc8ec27

Observation 604fe137-1725-4c5f-b51e-64ef02a05a50 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 25

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local_arxiv, observed 2026-06-29T18:23:51.374974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:7b68b7909254f6d76f6342b34b2ad9776cbb02fc0973494c5e4ff8436e59bea1

Observation 01dd9ff4-456c-48a4-ab5f-0248c67cf9c3 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 26

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local_arxiv, observed 2026-06-29T18:23:51.392043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:f87f65c7db11eec3b54049fb2b6d457a5c6a3be32d681b1faeafc566d795e20d

Observation 4c22ae50-f7f7-4d41-bbbc-00cd75a98761 · outbound

This paper cites arXiv preprint arXiv:2504.12369 , year=.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation arXiv preprint arXiv:2504.12369 , year=

Reference 27

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arxiv_id, observed 2026-06-29T18:23:51.408948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:ed373a27ac938055e67e58f570762fbd40d1bfaf6a6835692b1c3c8a348f9062

Pith citing papers

Observation fd161aa3-2641-4ce0-b3f8-0c228b971b7e · inbound

LLM-as-a-Verifier: A General-Purpose Verification Framework cites this paper.

LLM-as-a-Verifier: A General-Purpose Verification Framework SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation

Reference 95

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malformed identifier
local_arxiv, observed 2026-07-07T12:53:50.372574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-07T12:47:29.552283Z digest=sha256:f77bf4cfa13d45e3ca96806b05bafe742f06691ba14ecc626f4a7f8263a16c0a

Observation 295e4766-fdcb-47ea-9d6d-291d7fd652fc · inbound

LLM-as-a-Verifier: A General-Purpose Verification Framework cites this paper.

LLM-as-a-Verifier: A General-Purpose Verification Framework SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation

Reference 95

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malformed identifier
no resolver link, observed 2026-07-11T07:02:51.850836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T07:02:51.850836Z digest=sha256:1c03496cbd51ba8029d43dec7a1b3d4532bdd897a80e9f10f449797b5c8c13de

Observation 84d51743-e73b-4f50-adbf-85427b9b1808 · inbound

Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence cites this paper.

Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation

Reference 101

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local_arxiv, observed 2026-07-09T03:05:55.196182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-09T02:55:58.018234Z digest=sha256:8da6cd95262e1e2897d4b1a4c413628ddd327b48970eabad16e752b27dc5b7da