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Paper Citation Record · LEDGER

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation

As of 14 August 2026, this Paper Citation Record lists 100 of 162 outbound references and 3 inbound Pith citation observations for arXiv:2607.02642.

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

pith.paper-citation-record.v1
2607.02642 v1

Coverage vector

measured 100 of 162 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T08:04:48.963890Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:59:33.621106Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:41:44.285728Z

Reference resolution

100 of 162 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved99
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e815add8-2379-4d1f-97f4-1b2bbe946ad3 · outbound

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

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Cosmos 3: Omnimodal World Models for Physical AI

Reference 1

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:cdc8534a842661ebb1a1ef7a194e7649aaba7001540af3e04a9db8b295272a23

Observation f7466bbb-15a8-4171-be02-cd866fe194bb · outbound

This paper cites Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control

Reference 2

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:43a2d424765084e36209558dd176dc2e1e6880045b2a9bb09d8bcf87ddb3b185

Observation b40495e5-29a4-4e78-a2a6-60f7cc73277d · outbound

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

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation World Simulation with Video Foundation Models for Physical AI

Reference 3

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:fbc6c67ab68ab6fbb50dcb59c41a0d243b526c90d9325e655ed9913dbf0d90ce

Observation 45715af8-c4ee-4cfb-8c81-72b55a197df8 · outbound

This paper cites Roboarena: Distributed real-world evaluation of generalist robot policies.arXiv preprint arXiv:2506.18123, 2025.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Roboarena: Distributed real-world evaluation of generalist robot policies.arXiv preprint arXiv:2506.18123, 2025

Reference 4

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:073d1a9433335ad000e5f1855fa4fb704275226f75470367cf6f1b8d2be0b19c

Observation f95ffc73-cf68-4095-a119-0b85a6129c73 · outbound

This paper cites Hyperreel: High-fidelity 6-dof video with ray-conditioned sampling.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Hyperreel: High-fidelity 6-dof video with ray-conditioned sampling

Reference 5

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:8f1e93f70157a3c89522aa8775a5e88acfd43dc06b137e5e5c5a0dfb6f19dd8b

Observation e452600f-6f2c-4ded-a912-80abde7f435f · outbound

This paper cites Qwen3-VL Technical Report.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Qwen3-VL Technical Report

Reference 7

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:60474a9396ec410c9025c54b325e4005d891198342b369a622fccb2a2c8e747c

Observation ea5d362a-9c15-4ded-81f4-c1380bf490dd · outbound

This paper cites Qwen2.5-VL Technical Report.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Qwen2.5-VL Technical Report

Reference 9

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:7a8ba7e18463dce84fcaddf561df354998beaecd0a2cb35d38fa75a23c9e0b58

Observation 0dfbd702-f130-4017-95e8-813a710f4689 · outbound

This paper cites an unresolved cited work.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Unresolved cited work

Reference 10

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:26fefa402eef7d45f51cdce91a11a230ffe3e7fabfb5308ffe47b36d50a002e9

Observation 1155d8f1-0137-4b99-9b0e-0fa485dd461d · outbound

This paper cites Navigation world models.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Navigation world models

Reference 11

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:205b8a7b712dfe14d1f1760fa61c22c2009325edc4e05f650381f2305d46f16b

Observation 91eca04e-04b6-448f-b9c3-9a3b6a9b437c · outbound

This paper cites V-JEPA: Latent video prediction for visual representation learning, 2024.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation V-JEPA: Latent video prediction for visual representation learning, 2024

Reference 12

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:c728cf5e1aebe9ec240bf3fb8345d1b8be3b43607050148b7a4ef1a3272ae8df

Observation bb2c49eb-be83-4786-8fbe-85d057bf6880 · outbound

This paper cites Motus: A Unified Latent Action World Model.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Motus: A Unified Latent Action World Model

Reference 13

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:a46b4323775c626f8b25ad5fec8af456fe0c891af172ec08a3f77cde872e2466

Observation 0848b255-58fc-42c9-be3e-50dd8e8d98b4 · outbound

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

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 14

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:c967ec8908c4a6edf3a40fb05bf6530a63ce4aa8f6840193b98d93caafe9f8a6

Observation 0ff331c3-9e20-4325-88af-32929c09ffb5 · outbound

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

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 15

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:ed64c6b4de9cda802a525bfaef6c92124f1d86924393c80138fa1614e74a79b8

Observation 808114c2-364c-46ec-b1f3-a79a04e15c13 · outbound

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

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 16

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:e4b10cd91d4ae9f24354d2000e6c029e1519e2f2ccbce422d2b0346f1e985374

Observation adf3623e-f5fb-4615-ad7a-f70761cfaa4d · outbound

This paper cites Tiny autoencoder for stable diffusion.https://github.com/madebyollin/taesd,.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Tiny autoencoder for stable diffusion.https://github.com/madebyollin/taesd,

Reference 17

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:6f45df8074ad9ac1c182681daee60f33421b369c8bbd5bc9a87a14189fa26cb5

Observation 99b880ef-d55a-4496-9774-aa8fba83f297 · outbound

This paper cites an unresolved cited work.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Unresolved cited work

Reference 18

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:9b44b111ec30a12e2c7a5ba723813c2837b51a775f2ab89deb18d9c634b43b13

Observation 9d3f129a-ee52-45f1-bd63-2d008cee0d22 · outbound

This paper cites Agibot world colosseo: A large-scale manipulation platform for scalable and intelligent embodied systems.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Agibot world colosseo: A large-scale manipulation platform for scalable and intelligent embodied systems

Reference 19

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:51885b51c33ae2220c211be98df8fb4599b122a551624b72b449263d78640bb6

Observation e15cf7d4-64fc-45c6-a069-4457b0c40174 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation SAM 3: Segment Anything with Concepts

Reference 20

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:1a6dcdc970127111c07471eccf28b116da57c41dd7a46d3ac4e1e7c829740930

Observation 11e767b7-3c08-4912-a8c9-1bf6da33e03b · outbound

This paper cites Emerging Properties in Self-Supervised Vision Transformers.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Emerging Properties in Self-Supervised Vision Transformers

Reference 21

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:9df1835657245ecef9f0c5fea244f12ce6ba04156956853ccbdde452fb031bdb

Observation a6106828-0d8d-4029-99d7-c9d36b9f8ca6 · outbound

This paper cites WorldVLA: Towards Autoregressive Action World Model.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation WorldVLA: Towards Autoregressive Action World Model

Reference 22

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:c7ee416c9860e468141437ec01282956549d8f42ceed191a7e502e6b40d0cd1e

Observation dd192d15-5f8d-4850-b879-d3379a24ab4a · outbound

This paper cites Reflect-R1: Evidence-Driven Reflection for Self-Correction in Long Video Understanding.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Reflect-R1: Evidence-Driven Reflection for Self-Correction in Long Video Understanding

Reference 23

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:e064be434fb07374f90c820e10197b2ebf272238eacc8d6c1f03438224647450

Observation 3593cc80-0ae5-441e-9d1d-7d50dee2034c · outbound

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

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 24

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:4187ef360eceb21bbf7fb903ef75de22b0f544b94ed672e2fe23d5c0373b3f4b

Observation 5147e556-bcd0-4706-8bce-dd37eb4f6f9f · outbound

This paper cites an unresolved cited work.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Unresolved cited work

Reference 25

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:81a431e59e466fc3689320f2b7ab9d39f9cc443d0bdad25a251204a484494ff7

Observation 6267b8a4-eb67-4e05-acc7-5e27ba0ea0b2 · outbound

This paper cites Abot-physworld: Interactive world foundation model for robotic manipulation with physics alignment.arXiv preprint arXiv:2603.23376, 2026.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Abot-physworld: Interactive world foundation model for robotic manipulation with physics alignment.arXiv preprint arXiv:2603.23376, 2026

Reference 26

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:dae06dc54c41c3635eded679496b538d240bbc71741c590a94fa0bc745c9da32

Observation b5e22ce2-2f72-435a-879f-63f02d2609ac · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Training Verifiers to Solve Math Word Problems

Reference 27

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:aadabd859b2e7602efb44e0450b9c3107bfdcff1e49e9077515f0a2992ddd381

Observation ec8de903-f12d-4154-a580-8903cae59ff8 · outbound

This paper cites Introducing veo 3, our video generation model with expanded creative controls – including native audio and extended videos.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Introducing veo 3, our video generation model with expanded creative controls – including native audio and extended videos

Reference 28

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:5ed1fd3bb695c1bb8fd5a7eaf030c2bfca10cca2de7803a9e23786b98d1ca299

Observation a32f5470-dc05-430a-a23e-798bd762dd5e · outbound

This paper cites Emma: Generalizingreal-worldrobotmanipulationviagenerative visual transfer.arXiv preprint arXiv:2509.22407, 2025.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Emma: Generalizingreal-worldrobotmanipulationviagenerative visual transfer.arXiv preprint arXiv:2509.22407, 2025

Reference 29

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:426728fe3f565a859ad0ec39d7e312515de24a4cae5656c6c9ad05e1a11f41ab

Observation 8dbd5ebb-e465-4010-98d9-9e961c301445 · outbound

This paper cites AIM: Intent-Aware Unified world action Modeling with Spatial Value Maps.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation AIM: Intent-Aware Unified world action Modeling with Spatial Value Maps

Reference 30

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:3eab3fecc5fc8b31f703b5629bcb21597be92d4f4ff38b494eaf076aebebd2c4

Observation 73471975-4abd-4ae0-b382-15da61816e2f · outbound

This paper cites Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis

Reference 31

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:be1f8ff557ad31d6fa4edaedfb7fb98d88a051908e3b8f04d95a7634900181ef

Observation cccbf602-d8b9-49b6-999b-a63a7aa7e447 · outbound

This paper cites Learning video generation for robotic manipulation with collaborative trajectory control.arXiv preprint arXiv:2506.01943, 2025.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Learning video generation for robotic manipulation with collaborative trajectory control.arXiv preprint arXiv:2506.01943, 2025

Reference 32

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:9950cdd8588f8e11780c8143e7f4f69231977cd4228f1602e0ec5d875d6c5c94

Observation 3cd8da8c-5c4f-4233-a368-7d122a942eb0 · outbound

This paper cites Seedance 1.0: Exploring the Boundaries of Video Generation Models.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Seedance 1.0: Exploring the Boundaries of Video Generation Models

Reference 33

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:d913c93d0df7b9887dddd12fa27437ad2812c8ac3864d195e6a33129485efd2b

Observation c3f11c2e-3ec0-4eff-bb68-88805cd87623 · outbound

This paper cites Genesis: Multimodal driving scene generation with spatio-temporal and cross-modal consistency.NeurIPS, 38:60431–60455, 2026.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Genesis: Multimodal driving scene generation with spatio-temporal and cross-modal consistency.NeurIPS, 38:60431–60455, 2026

Reference 34

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Observation cf2e7e87-a335-4c4c-a13f-3e885ebb2036 · outbound

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

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Ctrl-World: A Controllable Generative World Model for Robot Manipulation

Reference 35

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:e23080657c58a4c66fadcb400fb0fead5c7bd1df3f58a2dfd83ddc55dffebc1a

Observation ba286742-cc56-45a4-aaf8-7c6a39004470 · outbound

This paper cites LTX-Video: Realtime Video Latent Diffusion.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation LTX-Video: Realtime Video Latent Diffusion

Reference 36

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:37ed8e75ce6d9e6e5a685e4ca297f7bcd072559c6d9836ea712163509ec0a3cc

Observation 8b896505-5c8d-49eb-8d1c-2bdac92b6a5a · outbound

This paper cites Pre-trained video generative models as world simulators.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Pre-trained video generative models as world simulators

Reference 37

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:49276c6cd3ad6f761c8a944dcbdef1f134186aa77a2a10170ef45a976e7d5015

Observation 8a7b72b6-9139-4bcb-9a61-bcc00c7dd587 · outbound

This paper cites Matrix-game 2.0: An open-source real-time and streaming interactive world model.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Matrix-game 2.0: An open-source real-time and streaming interactive world model

Reference 38

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Observation 544657a7-e026-488e-a355-524b5e622834 · outbound

This paper cites SKIP: Sparse Keyframe Interpolation Paradigm for Efficient Embodied World Models.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation SKIP: Sparse Keyframe Interpolation Paradigm for Efficient Embodied World Models

Reference 39

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Observation 98f103c2-0056-45b8-9b2a-51f3f3de796a · outbound

This paper cites Measuring massive multitask language understanding.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Measuring massive multitask language understanding

Reference 40

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Observation 5ba88200-1b43-4dbf-8e83-dba709845405 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.NeurIPS, 2017.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Gans trained by a two time-scale update rule converge to a local nash equilibrium.NeurIPS, 2017

Reference 41

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Observation 8b34e2c1-4f2e-4229-b7b7-42a5f999685d · outbound

This paper cites Cogvideo: Large-scale pretraining for text-to-video generation via transformers.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Cogvideo: Large-scale pretraining for text-to-video generation via transformers

Reference 42

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Observation 341b8acf-e281-44f1-bded-4c1d7791492a · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 43

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Observation da6497de-73ad-4a33-8903-778b6740bb5e · outbound

This paper cites Lora: Low-rank adaptation of large language models.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Lora: Low-rank adaptation of large language models

Reference 44

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Observation 0f5321c9-1133-4e24-a618-895a083dbd51 · outbound

This paper cites Self forcing: Bridging the train-test gap in autoregressive video diffusion.NeurIPS, 38:167283–167308, 2026.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Self forcing: Bridging the train-test gap in autoregressive video diffusion.NeurIPS, 38:167283–167308, 2026

Reference 45

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Observation 93351781-cf84-4834-b072-b2754dc823e9 · outbound

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

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 46

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Observation bc0e79ca-5a9e-42ec-ac4f-84661e3e862c · outbound

This paper cites Rlbench: The robot learning benchmark & learning environment.IEEE Robotics and Automation Letters, 5(2):3019–3026, 2020.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Rlbench: The robot learning benchmark & learning environment.IEEE Robotics and Automation Letters, 5(2):3019–3026, 2020

Reference 47

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Observation 3fde7458-3fac-4c24-915d-6a9f08b07258 · outbound

This paper cites Galaxea Open-World Dataset and G0 Dual-System VLA Model.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Galaxea Open-World Dataset and G0 Dual-System VLA Model

Reference 48

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Observation 4671c778-2a07-48bb-8652-f6bca12ef9c1 · outbound

This paper cites EnerVerse-AC: Envisioning Embodied Environments with Action Condition.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation EnerVerse-AC: Envisioning Embodied Environments with Action Condition

Reference 49

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Observation dd225720-bf34-4036-8701-9c373b7fb493 · outbound

This paper cites Swe-bench: Can language models resolve real-world github issues? InICLR, volume 2024, pages 54107–54157, 2024.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Swe-bench: Can language models resolve real-world github issues? InICLR, volume 2024, pages 54107–54157, 2024

Reference 50

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Observation ca77851b-52ab-48d7-b82b-1fe45f1c4f96 · outbound

This paper cites How Far is Video Generation from World Model: A Physical Law Perspective.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation How Far is Video Generation from World Model: A Physical Law Perspective

Reference 51

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Observation 059e71f1-182a-4959-ab1f-f12ab3117688 · outbound

This paper cites Musiq: Multi-scale image quality transformer.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Musiq: Multi-scale image quality transformer

Reference 52

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Observation fd70e35a-8a9d-40a3-9801-f395d2135f5b · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation OpenVLA: An Open-Source Vision-Language-Action Model

Reference 53

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Observation 00257fdc-e284-4246-b55c-bbd9e6f624fb · outbound

This paper cites Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning

Reference 54

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Observation 2a471d7a-c368-47c5-817c-7705df5a3a86 · outbound

This paper cites Aesthetic predictor, 2022.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Aesthetic predictor, 2022

Reference 55

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:3411431e9178a855da0a9e7ea22546e3a35ee9dfd2f86900a282861669db934a

Observation e562326c-9f03-4c06-a2fe-efe29c3bcba2 · outbound

This paper cites VAG: Dual-Stream Video-Action Generation for Embodied Data Synthesis.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation VAG: Dual-Stream Video-Action Generation for Embodied Data Synthesis

Reference 56

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Observation 277a9d25-fc9f-49c2-af8b-a4fa198af90b · outbound

This paper cites RoboMemArena: A Comprehensive and Challenging Robotic Memory Benchmark.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation RoboMemArena: A Comprehensive and Challenging Robotic Memory Benchmark

Reference 57

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:60d8c23ebdab05f8897f68c6cc9aa41ccdf427a9450c349e28c24845df1dd421

Observation f477b05f-34be-4d01-b78a-a037b0397bf6 · outbound

This paper cites Mimicdreamer: Aligning human and robot demonstrations for scalable vla training.arXiv preprint arXiv:2509.22199, 2025.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Mimicdreamer: Aligning human and robot demonstrations for scalable vla training.arXiv preprint arXiv:2509.22199, 2025

Reference 58

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Observation 02f3c703-9065-450e-977f-66ffcecae504 · outbound

This paper cites StableIDM: Stabilizing Inverse Dynamics Model against Manipulator Truncation via Spatio-Temporal Refinement.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation StableIDM: Stabilizing Inverse Dynamics Model against Manipulator Truncation via Spatio-Temporal Refinement

Reference 59

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Observation 813e2957-e6d3-4d82-bf86-10b233eaa884 · outbound

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

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Evaluating Real-World Robot Manipulation Policies in Simulation

Reference 60

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Observation a549822c-be80-4c44-a34a-7e2c79789468 · outbound

This paper cites WorldEval: World Model as Real-World Robot Policies Evaluator.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation WorldEval: World Model as Real-World Robot Policies Evaluator

Reference 61

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Observation 67107d74-b949-41be-a588-859c353531d2 · outbound

This paper cites Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation

Reference 62

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Observation 4953ada4-8b31-4729-a40a-d00006881c18 · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Depth Anything 3: Recovering the Visual Space from Any Views

Reference 63

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Observation cb3a89b0-af47-4b11-890c-6c995413eea9 · outbound

This paper cites Truthfulqa: Measuring how models mimic human falsehoods.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Truthfulqa: Measuring how models mimic human falsehoods

Reference 64

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Observation 96cb70d5-832e-4f8f-8e37-8f38de11fa94 · outbound

This paper cites Libero: Bench- marking knowledge transfer for lifelong robot learning.NeurIPS, 36:44776–44791, 2023.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Libero: Bench- marking knowledge transfer for lifelong robot learning.NeurIPS, 36:44776–44791, 2023

Reference 65

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Observation 3a20029d-85c5-4245-8c57-ea86bbd13e48 · outbound

This paper cites Mamba4d: Efficient 4d point cloud video understanding with disentangled spatial-temporal state space models.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Mamba4d: Efficient 4d point cloud video understanding with disentangled spatial-temporal state space models

Reference 66

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Observation cfbb380f-0959-4e04-97d0-79c87467e50f · outbound

This paper cites Difflow3d: Hierarchical diffusion models for uncertainty-aware 3d scene flow estimation.TPAMI, 2025.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Difflow3d: Hierarchical diffusion models for uncertainty-aware 3d scene flow estimation.TPAMI, 2025

Reference 67

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Observation fe5d570a-bb4e-4872-b5e9-15709889eeef · outbound

This paper cites Arflow: Auto-regressive optical flow estimation for arbitrary-length videos via progressive next-frame forecasting.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Arflow: Auto-regressive optical flow estimation for arbitrary-length videos via progressive next-frame forecasting

Reference 68

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Observation 84e0098f-5256-48c9-aaca-6d7b098efb3f · outbound

This paper cites Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends

Reference 69

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Observation 26e42305-1996-4c0a-a29d-7d7f9cfce08f · outbound

This paper cites Robotransfer: Controllable geometry-consistent video diffusion for manipulation policy transfer.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Robotransfer: Controllable geometry-consistent video diffusion for manipulation policy transfer

Reference 70

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Observation 9db9c0a6-10ed-4932-bdfe-4fa5da9eeaa9 · outbound

This paper cites Physgen: Rigid-body physics- grounded image-to-video generation.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Physgen: Rigid-body physics- grounded image-to-video generation

Reference 71

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Observation 96814f90-5eb9-4b36-913a-950e8ebfab48 · outbound

This paper cites Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality

Reference 72

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Observation 32c873e5-5fcd-4f21-adeb-f81d3d22d971 · outbound

This paper cites ViVa: A Video-Generative Value Model for Robot Reinforcement Learning.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation ViVa: A Video-Generative Value Model for Robot Reinforcement Learning

Reference 73

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Observation d7349725-9971-4aa1-ad3e-6a45d8d0d45f · outbound

This paper cites Follow your pose: Pose-guided text-to-video generation using pose-free videos.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Follow your pose: Pose-guided text-to-video generation using pose-free videos

Reference 74

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Observation 0e04608e-869b-466e-a43a-c281fb8959b0 · outbound

This paper cites Follow-your-emoji: Fine-controllable and expressive freestyle portrait animation.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Follow-your-emoji: Fine-controllable and expressive freestyle portrait animation

Reference 75

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:a2808d1620fe1b261673c566056bd340f40d9f9e84525a27374273b03a4285b9

Observation a4326b15-ea66-452c-ad93-5368c519d2b6 · outbound

This paper cites Controllable video generation: A survey.arXiv preprint arXiv:2507.16869, 2025a.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Controllable video generation: A survey.arXiv preprint arXiv:2507.16869, 2025a

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:f4bcf7f03bab3ef8df25db4f08de5eba640dccdb9d4325999ea1007ef3f6f212

Observation 85eeea36-3b1f-4d51-b748-2ab6e9bbd70a · outbound

This paper cites Follow-your-motion: Video motion transfer via efficient spatial-temporal decoupled finetuning.arXiv preprint arXiv:2506.05207, 2025b.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Follow-your-motion: Video motion transfer via efficient spatial-temporal decoupled finetuning.arXiv preprint arXiv:2506.05207, 2025b

Reference 77

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:ddf7c4c5748829b3741b92b2a22b4560048a299308d185499e07f13d97cd5456

Observation 5868da59-921f-4ab9-8dac-d5f1e93e048d · outbound

This paper cites Follow-your-emoji-faster: Towards efficient, fine-controllable, and expressive freestyle portrait animation.arXiv preprint arXiv:2509.16630, 2025c.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Follow-your-emoji-faster: Towards efficient, fine-controllable, and expressive freestyle portrait animation.arXiv preprint arXiv:2509.16630, 2025c

Reference 78

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:91f48fcf646b3a1d2204f400ae18579a8971f2213d6d995b3a84a29f66946a6e

Observation 4c525d81-8620-4f5b-9917-00c8115e3513 · outbound

This paper cites Follow-your-click: Open-domain regional image animation via motion prompts.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Follow-your-click: Open-domain regional image animation via motion prompts

Reference 79

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:e298c3d5a0f798083d6e24a72ee33bb2e487a0e3b148495cac8e29a5441643cd

Observation b58812c1-3163-4317-8657-2ed664ed52f7 · outbound

This paper cites Follow-Your-Creation: Empowering 4D Creation through Video Inpainting.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Follow-Your-Creation: Empowering 4D Creation through Video Inpainting

Reference 80

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:3416fee3cee022278bfefe3c528c88ffc54fd63d3f7f1e01618e9fefce70bae4

Observation 9dbc7d63-99da-41fe-9fb4-e17726936694 · outbound

This paper cites Group editing: Edit multiple images in one go.arXiv preprint arXiv:2603.22883, 2026a.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Group editing: Edit multiple images in one go.arXiv preprint arXiv:2603.22883, 2026a

Reference 81

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:16aabcfbf5e895186e8b512923da0dd2f629e147e6d2d9aadeaae8f0c568e922

Observation d6522e1d-796f-48b5-be75-e4bb9b88ab1d · outbound

This paper cites Fastvmt: Eliminating redundancy in video motion transfer.arXiv preprint arXiv:2602.05551, 2026b.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Fastvmt: Eliminating redundancy in video motion transfer.arXiv preprint arXiv:2602.05551, 2026b

Reference 82

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:2d307eba867f12620d62e85d6ba3d9aabc33e63101d0ebb17e96788161bd472b

Observation bb54be81-1db1-49ab-8570-0f5304b6862c · outbound

This paper cites Zentner, Ryan Julian, J K Terry, Isaac Woungang, Nariman Farsad, and Pablo Samuel Castro.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Zentner, Ryan Julian, J K Terry, Isaac Woungang, Nariman Farsad, and Pablo Samuel Castro

Reference 83

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:91e24710f862db7358c56e4869415715804d86a0ed32ecf14823571eeca6b8c7

Observation b3e592e5-5afc-4ad7-81de-3da517ff7a4c · outbound

This paper cites Springer, 2007.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Springer, 2007

Reference 84

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:e0375c1cc3ec2490d9ebf4da371089a6a8b9b0a55454908ae49783f32cc8119c

Observation 3fb6eb2e-2959-41cf-a703-eabd37ef6d57 · outbound

This paper cites RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots

Reference 85

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:f8fce6f275b89ee9f0f8dcd34225c48b23937cafdbacfdd67f4d28369e62d428

Observation 823373db-05a1-4dc3-a217-3175b9d105bd · outbound

This paper cites Robocasa365: A large-scale simulation framework for training and benchmarking generalist robots.arXiv preprint arXiv:2603.04356,.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Robocasa365: A large-scale simulation framework for training and benchmarking generalist robots.arXiv preprint arXiv:2603.04356,

Reference 86

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:7d4331aa1e0e7afd89e17a7363f7a0aa3689735af947b0cc86d0b3a6c522322c

Observation e472043b-1db0-4bf8-a280-7e297c9789bc · outbound

This paper cites Swiftvla: Unlocking spatiotemporal dynamics for lightweight vla models at minimal overhead.arXiv preprint arXiv:2512.00903, 2025.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Swiftvla: Unlocking spatiotemporal dynamics for lightweight vla models at minimal overhead.arXiv preprint arXiv:2512.00903, 2025

Reference 87

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:250ba1dab273376dd5b72ba79cb183d54b77f9356ba72eac94e8479b7c9546a4

Observation ee51b57e-1861-4fe5-b11e-f13bf42ae9b9 · outbound

This paper cites WonderFree: Enhancing Novel View Quality and Cross-View Consistency for 3D Scene Exploration.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation WonderFree: Enhancing Novel View Quality and Cross-View Consistency for 3D Scene Exploration

Reference 88

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:740fde9d5ad5a8300c001af7882cb2fdff079b5ac71d051b7c9515555bf25ba5

Observation 608d9bc5-f9e0-413f-9778-185ed0a1f6e3 · outbound

This paper cites WonderTurbo: Generating Interactive 3D World in 0.72 Seconds.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation WonderTurbo: Generating Interactive 3D World in 0.72 Seconds

Reference 89

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:925516fa1dbfee2b312a9b323d4a835f5783fc9058d45b1db3a5ad37f0a223a8

Observation 59cee31d-d295-4633-a340-a05f9727f6d8 · outbound

This paper cites ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Reference 90

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:974a9300bb6e3c3a08adc74003490875ba01d6dfbbd1af05872e2ef78be69258

Observation f473251b-97cb-424c-b050-921687608e6a · outbound

This paper cites Recondreamer: Crafting world models for driving scene reconstruction via online restoration.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Recondreamer: Crafting world models for driving scene reconstruction via online restoration

Reference 91

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:173374344af118f4dd31646281c1acd54055b44f4962be7531d0b40b34a6d1a3

Observation 6a3630f1-7498-4c7f-88dc-f2bc94b25f0d · outbound

This paper cites WorldSimBench: Towards Video Generation Models as World Simulators.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation WorldSimBench: Towards Video Generation Models as World Simulators

Reference 92

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:b7a9822712d2f7b7b49dfc88b48c66f184b21eb036b4a96abdbbb35de887eef5

Observation 47d9f8a5-9c53-49b8-9b68-688f0834dd03 · outbound

This paper cites GE-Sim 2.0: A Roadmap Towards Comprehensive Closed-loop Video World Simulators for Robotic Manipulation.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation GE-Sim 2.0: A Roadmap Towards Comprehensive Closed-loop Video World Simulators for Robotic Manipulation

Reference 93

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:c3fbcd4fbd8933c80135920140d7146dbb51e8ac8bd8475c31fb7d29788248f4

Observation 88dc1ae4-79bd-477a-bd33-3547a51a90ac · outbound

This paper cites Worldgym: World model as an environment for policy evaluation.arXiv preprint arXiv:2506.00613,.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Worldgym: World model as an environment for policy evaluation.arXiv preprint arXiv:2506.00613,

Reference 94

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:4d2a10eb20c314ad40cf754d65d1816c3cb90f8b406996e192d16f712208750a

Observation 74712aca-fbb0-4082-a373-380bd8e44ae2 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Learning Transferable Visual Models From Natural Language Supervision

Reference 95

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:ca0e1e095a277f5c73afabe817a848767ec7ad1b51bb92ea35a010f0a494b62a

Observation b9bce85a-6eb1-49f2-bfc7-e3911e0c6060 · outbound

This paper cites Sam 2: Segment anything in images and videos.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Sam 2: Segment anything in images and videos

Reference 96

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:2923fd6bf99cb47e0ed602551c11869ea864ca7b803b1bcda73a52e2ab98d3d6

Observation ed0e981f-fca5-459b-b2fa-6493de1dba5a · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation GPQA: A Graduate-Level Google-Proof Q&A Benchmark

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:58810ba9f066a2ba70e36573594f8866f8dbe677b7bcc82fe58d95811b6c4cc7

Observation 1a9f6eed-5699-4ddb-82e4-fb62d456eb54 · outbound

This paper cites Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model

Reference 98

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:4ec8e61f968966f47458d94d192743c6deda2c05c1873ee9a345941b3d62a30f

Observation 8692eb36-932d-4f38-9a6f-f804e0f6cb11 · outbound

This paper cites Worldarena: A unified benchmark for evaluating perception and functional utility of embodied world models.arXiv preprint arXiv:2602.08971, 2026.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Worldarena: A unified benchmark for evaluating perception and functional utility of embodied world models.arXiv preprint arXiv:2602.08971, 2026

Reference 99

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:256818c119b97487f83bede580ad45c50d38dd02dd7eee023b4b3aa554e4c5f3

Observation 9e60740c-e130-4f0b-af38-c1528f48de8c · outbound

This paper cites Roboscape: Physics- informed embodied world model.NeurIPS, 38:63674–63698, 2026.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Roboscape: Physics- informed embodied world model.NeurIPS, 38:63674–63698, 2026

Reference 100

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:0e45f1864a37e8ce3d25ff0c2708fe50bcd416491d741449c888798829ca719e

Observation 0625821b-ca45-4300-aa0e-e68b23b1f2cf · outbound

This paper cites Videovla: Video generators can be generalizable robot manipulators.arXiv preprint arXiv:2512.06963, 2025.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Videovla: Video generators can be generalizable robot manipulators.arXiv preprint arXiv:2512.06963, 2025

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:f9212f891f69547803923c4cacf1a239a643114a6096de863de9e4b698cfb1a4

Observation 0b82879d-c783-4578-b5bc-67c9870c72cf · outbound

This paper cites Zeroscope.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Zeroscope

Reference 102

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:3daeac8840408cf0427dee5f9b0fa699b79c0d1bec2c4d1398e8ea30a3a3fdfb

Pith citing papers

Observation 828fb644-3e25-4b96-acba-6bdf3bb4c945 · inbound

GigaWorld-Policy-0.5: A Faster and Stronger WAM Empowered by AutoResearch cites this paper.

GigaWorld-Policy-0.5: A Faster and Stronger WAM Empowered by AutoResearch GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation

Reference 39

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source=pdf_text observed=2026-08-02T03:16:53.054370Z digest=sha256:a2a3466528dbb72288b5ceb31384270867fb9a806fd2523c6c556a11c153b32a

Observation fa3a742b-7e23-4cc6-bc98-485f524eae8d · inbound

Is Forward Prediction Enough? Physical State Grounding for JEPA World Models cites this paper.

Is Forward Prediction Enough? Physical State Grounding for JEPA World Models GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation

Reference 23

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verified exact
local_arxiv, observed 2026-08-10T20:41:44.293651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:41:43.888041Z digest=sha256:b95d31353c8b06a32e0671297b4b1dca265ce0a55bcf00d76a8fe3bac5c666f1

Observation b3a6b0c5-5c11-42b8-b62b-8e882ac9b812 · inbound

WorldSimProbe: Diagnosing Simulator Faithfulness in Action-Conditioned World Models for Embodied Manipulation cites this paper.

WorldSimProbe: Diagnosing Simulator Faithfulness in Action-Conditioned World Models for Embodied Manipulation GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation

Reference 44

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source=arxiv_source observed=2026-08-11T19:59:33.621106Z digest=sha256:484631504fa2fec73028891e338dd9f938775156d3370e9f2b49bca637d2a728