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Paper Citation Record · LEDGER

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation

As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2608.02428.

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

pith.paper-citation-record.v1
2608.02428 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:37:52.766985Z

measured 41 of 41 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.

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measured 0 of 1 external citation measurements

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

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Reference resolution

41 of 41 outbound references displayed

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Outbound references

Observation 186a2a23-2b8e-43e3-b77f-e7ba0c440d19 · outbound

This paper cites Is sora a world simulator? a comprehensive survey on general world models and beyond,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Is sora a world simulator? a comprehensive survey on general world models and beyond,

Reference 1

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Observation 2cc7b9a8-2075-40ee-9d02-9a2908fe0370 · outbound

This paper cites From forecasting to planning: Policy world model for collaborative state-action prediction,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation From forecasting to planning: Policy world model for collaborative state-action prediction,

Reference 2

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Observation 131bdab0-2221-4cde-ab14-c444d626fefd · outbound

This paper cites UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving

Reference 3

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Observation fa70c894-b89b-498e-93fa-2312c4e24021 · outbound

This paper cites Navigation world models,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Navigation world models,

Reference 4

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Observation ce3fb325-5b40-463c-8201-b845a683ad6d · outbound

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

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Cosmos World Foundation Model Platform for Physical AI

Reference 5

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source=pdf_text observed=2026-08-04T07:37:49.410277Z digest=sha256:4a01421a84a7f5efb9d232240f520decf4a9a12c3d20bf2d50d42867933e1b19

Observation cc3c1832-d803-4ae1-bc95-ca546f07182a · outbound

This paper cites Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 6

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Observation 27346d5f-f09f-49fa-96f2-eb7790bd1b99 · outbound

This paper cites GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving

Reference 7

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Observation 648280ea-38f0-48b3-a361-ae03ca577adb · outbound

This paper cites Papnet: Point-enhanced attention-aware pillar network for 3d object detection in autonomous driving,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Papnet: Point-enhanced attention-aware pillar network for 3d object detection in autonomous driving,

Reference 8

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Observation 39e862fc-7e7f-40b9-b30c-9c22a0e3470f · outbound

This paper cites Rangevit: Towards vision transformers for 3d semantic segmentation in autonomous driving,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Rangevit: Towards vision transformers for 3d semantic segmentation in autonomous driving,

Reference 9

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Observation b270b5b7-f5c4-4e9d-8963-40180412db77 · outbound

This paper cites World4drive: End-to-end autonomous driving via intention-aware physical latent world model,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation World4drive: End-to-end autonomous driving via intention-aware physical latent world model,

Reference 10

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source=pdf_text observed=2026-08-04T07:37:50.259959Z digest=sha256:4e0ae8456da4786c0d8f39dd614177386a78f21cf64e390bb0ed40af7c3ab68c

Observation 2896cac7-4fee-4fb9-a8b0-71d466b535b2 · outbound

This paper cites Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving

Reference 11

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source=pdf_text observed=2026-08-04T07:37:50.369679Z digest=sha256:d14b9b1895a1f0a8d88b205b8f1a53785d23656478db2adb34e8f486e7df5b8f

Observation f06ccd4b-de75-4a72-9951-6006519f6595 · outbound

This paper cites Dino-wm: World models on pre-trained visual features enable zero-shot planning,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Dino-wm: World models on pre-trained visual features enable zero-shot planning,

Reference 12

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source=pdf_text observed=2026-08-04T07:37:50.430845Z digest=sha256:c10c7afd771b1de7246ef3e4d38fed9d006017223c7f1356c2187f1ed8cc6d4a

Observation 56313a77-e758-456f-b681-293bcfe8bcb8 · outbound

This paper cites DINO- foresight: Looking into the future with DINO,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation DINO- foresight: Looking into the future with DINO,

Reference 13

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Observation b92d944f-a12c-4ecd-9976-1da96a3237c8 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Learning transferable visual models from natural language supervision,

Reference 14

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source=pdf_text observed=2026-08-04T07:37:50.600217Z digest=sha256:db36a7b1edb91868ecbf7f44cb1f732bdae86dd64a6677e2206b55c290eaa495

Observation 14058d42-75b2-4a61-b57f-b8e14a53f9bb · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 15

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source=pdf_text observed=2026-08-04T07:37:50.703618Z digest=sha256:49315eeb477831bea98c81b4a81e2a727db9754efd64517e2b7e8de71eef9f74

Observation 66cee00a-2d3a-4249-b5cd-ba832ab18acc · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation DINOv2: Learning Robust Visual Features without Supervision

Reference 16

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source=pdf_text observed=2026-08-04T07:37:50.800143Z digest=sha256:5a137568c1310fafe4f5cf63a8edfcb03c73463a7894090a5042e0f6c2d4e462

Observation 02cfa85e-497b-4e80-8f76-abafaa435f1b · outbound

This paper cites Your vit is secretly an image segmentation model,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Your vit is secretly an image segmentation model,

Reference 17

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source=pdf_text observed=2026-08-04T07:37:50.859990Z digest=sha256:f0e26536cdf8f17d96442c4a6f1fea9789f037a3286e15a9c8420f1b9fc26d06

Observation eba085e4-cafb-4382-a145-f0043ff939a6 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 18

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source=pdf_text observed=2026-08-04T07:37:50.940877Z digest=sha256:b4d489150bf535e6bede7e877f3a09e881b89fdc37cfe73896b055fea20d5514

Observation e5074253-cbf7-4306-8a76-45ba9b8fcd8b · outbound

This paper cites DINOv3.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation DINOv3

Reference 19

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source=pdf_text observed=2026-08-04T07:37:51.032181Z digest=sha256:49d962e55a93cf0433d3b3d4c4e6d3e60abe79b9894977badd7336816dcfb41b

Observation 5c4ee577-8338-46ec-a2b0-49d6a4723b12 · outbound

This paper cites VidEoMT: Your ViT is Secretly Also a Video Segmentation Model,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation VidEoMT: Your ViT is Secretly Also a Video Segmentation Model,

Reference 20

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Observation 20572376-4210-4451-b448-23d092f7de82 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation The cityscapes dataset for semantic urban scene understanding,

Reference 21

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source=pdf_text observed=2026-08-04T07:37:51.160164Z digest=sha256:b6acdc633441b71da5fec376e9daa6206e24f87dc9c8dd45c2790086a11b4af8

Observation e8be8905-e98f-424b-be40-df157cfd5888 · outbound

This paper cites Foundation models defining a new era in vision: a survey and outlook,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Foundation models defining a new era in vision: a survey and outlook,

Reference 22

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source=pdf_text observed=2026-08-04T07:37:51.285905Z digest=sha256:4e30f7df0010c34ad9dc3e2dc57db8417a41a985cfa83eb18b3b1da2131ab1a8

Observation 3d9fb360-14d5-4cd7-b8c4-93a4594c3def · outbound

This paper cites Foundation models in robotics: Applications, challenges, and the future,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Foundation models in robotics: Applications, challenges, and the future,

Reference 23

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source=pdf_text observed=2026-08-04T07:37:51.345145Z digest=sha256:40196d1947db4524e6e4590d8c89a7d4412000bb520829bd26dbf6cd23c11be6

Observation 8d3841eb-dbb5-4492-97c8-7e0a966053db · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 24

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source=pdf_text observed=2026-08-04T07:37:51.419498Z digest=sha256:47c97df2c4edc64b9766c2acc6cdc440a56353d50f7c2345a5e057d4d1b8e942

Observation e073ed10-c6a1-4093-a087-c8cea657f839 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 25

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source=pdf_text observed=2026-08-04T07:37:51.489561Z digest=sha256:879ca788cd1d0c10cc5fdd37eefeb6014da8c5dd18a8f9f1390b8884374cf4c5

Observation 9c051329-6f74-424d-926a-d9f90e508d3e · outbound

This paper cites Vista: A generalizable driving world model with high fidelity and versatile controllability,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Vista: A generalizable driving world model with high fidelity and versatile controllability,

Reference 26

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source=pdf_text observed=2026-08-04T07:37:51.534986Z digest=sha256:66eba6365a174e72023846ed81c8a80c5a02824f1fa0f0dc673149d61f2413e7

Observation 9d28637c-e827-4fd2-ac12-05791a0d76a9 · outbound

This paper cites Flexible diffusion modeling of long videos,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Flexible diffusion modeling of long videos,

Reference 27

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source=pdf_text observed=2026-08-04T07:37:51.646231Z digest=sha256:25dcb03e426c447b63e5fc9d517d432a0f0ebcc968bc2514cfa9693529e6e466

Observation ac7227ca-59c3-4df2-a955-66afc87d4762 · outbound

This paper cites Genad: Generative end-to-end autonomous driving,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Genad: Generative end-to-end autonomous driving,

Reference 28

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source=pdf_text observed=2026-08-04T07:37:51.729779Z digest=sha256:a28552d9fdacd4384bf64e8d3b78dc2b65a6353cbb6e91f29b7a566b22852b20

Observation 39382166-091b-4305-a21c-ea7da2bc752c · outbound

This paper cites Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey

Reference 29

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source=pdf_text observed=2026-08-04T07:37:51.814110Z digest=sha256:65fffcb11917e1b4b1dfa4168ba69af35b7db8cdc732280188c92a7446ee88d1

Observation 9f5340d4-6a5f-45d5-8269-59a96039d752 · outbound

This paper cites Sparseworld: A flexible, adaptive, and efficient 4d occupancy world model powered by sparse and dynamic queries,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Sparseworld: A flexible, adaptive, and efficient 4d occupancy world model powered by sparse and dynamic queries,

Reference 30

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source=pdf_text observed=2026-08-04T07:37:51.953583Z digest=sha256:a4fff3b3d6a7c1763c0e01df16028e09c7f3c0f4e982859af99fc171973babb6

Observation 7fe7ef4a-ecb2-4bd3-9325-e8fade54c132 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 31

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source=pdf_text observed=2026-08-04T07:37:52.070987Z digest=sha256:8391960d0cb45891a554484a6f1fcbc0ba444f56a01034a2f13071f400d2b6e4

Observation cb116a4a-689d-4dc0-96f9-26e0c3e361f3 · outbound

This paper cites Mastering Diverse Domains through World Models.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Mastering Diverse Domains through World Models

Reference 32

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source=pdf_text observed=2026-08-04T07:37:52.079989Z digest=sha256:0533072f85259a864bc665757e48984cd26e17bd333ddc5d4c074af1f26b30cf

Observation 63f839a9-3227-489f-8cd8-d21f849c0b81 · outbound

This paper cites Learning multiple probabilistic decisions from latent world model in autonomous driving,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Learning multiple probabilistic decisions from latent world model in autonomous driving,

Reference 33

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source=pdf_text observed=2026-08-04T07:37:52.164064Z digest=sha256:6a333e02c26f20ffc7dc22ff83ec97e1c988eaa02e9b1b0ef0b6d1c847c65517

Observation db90f43d-da98-4b1b-b873-72991d704605 · outbound

This paper cites En- hancing end-to-end autonomous driving with latent world model,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation En- hancing end-to-end autonomous driving with latent world model,

Reference 34

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source=pdf_text observed=2026-08-04T07:37:52.260185Z digest=sha256:e9b59fe6f1869eef44c23e7d949b215280b3fd2782445749ef263a6d93a55fe7

Observation 291abc56-8acb-4515-949a-231de4f18a6e · outbound

This paper cites Back to the Features: DINO as a Foundation for Video World Models.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Back to the Features: DINO as a Foundation for Video World Models

Reference 35

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source=pdf_text observed=2026-08-04T07:37:52.354911Z digest=sha256:53c7e6a1f2d4a245d2fd64007472929329c08740bc723a3cf4bd0fe61d234072

Observation d382ffc2-61bf-4a00-ad56-b93ceae4b7b7 · outbound

This paper cites End-to-end object detection with transformers,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation End-to-end object detection with transformers,

Reference 36

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source=pdf_text observed=2026-08-04T07:37:52.440924Z digest=sha256:191a2e6264251d05154f75cb63f9e1710776055d510864ce028f957ce13bb9d1

Observation beb1c34a-58c1-4cba-ade5-311a1419803e · outbound

This paper cites Masked-attention mask transformer for universal image segmenta- tion,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Masked-attention mask transformer for universal image segmenta- tion,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T07:37:52.509526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:37:52.509526Z digest=sha256:db3bb736722123418e62fac7c6049b51590c9010be7ca2f34133b4d886740578

Observation 73532753-6d5f-4901-b0ea-7fe63580cddb · outbound

This paper cites Robust estimation of a location parameter,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Robust estimation of a location parameter,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T07:37:52.581329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:37:52.581329Z digest=sha256:74f45f0224980cdb3a4e99ffd12a9edcbfa3283e25ff95edb89d63e55111c073

Observation 8d4d1412-7eb7-4ebe-83cd-871cfa6b165f · outbound

This paper cites Matrix: An advanced simulation platform that integrates mujoco, unreal engine 5, and carla,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Matrix: An advanced simulation platform that integrates mujoco, unreal engine 5, and carla,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T07:37:52.636457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:37:52.636457Z digest=sha256:7ae273e025262bd58af2bc756d45d7e334fcb9584db1e31cc5a10032acc089c6

Observation d8a91aed-c026-474a-bc3f-ad7ab5b0151d · outbound

This paper cites Decoupled weight decay regularization,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Decoupled weight decay regularization,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T07:37:52.715324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:37:52.715324Z digest=sha256:b229799a3005cd5d8320711ddd102859411d3cd79cd10e40929526bf688dcea9

Observation 43f59941-1fb2-40ca-b9bd-f0aec09ccabd · outbound

This paper cites Viplanner: Visual semantic imperative learning for local navigation,.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Viplanner: Visual semantic imperative learning for local navigation,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T07:37:52.766985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:37:52.766985Z digest=sha256:a6fbaf48f2212cca300003bd71e655609cb2feae1628e280a529ee5f22c33cf8

Pith citing papers

No inbound Pith citation observations are available.