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Paper Citation Record · LEDGER

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy

As of 19 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2506.11302.

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

pith.paper-citation-record.v1
2506.11302 v3

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:16:23.493262Z

measured 56 of 56 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

56 of 56 outbound references displayed

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  • verified fuzzy29
  • unresolved27
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External citation measurements

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Outbound references

Observation 1c5fba8e-019f-4492-be73-65a2442c5f84 · outbound

This paper cites Statewide visual geolocalization in the wild.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Statewide visual geolocalization in the wild

Reference 1

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Observation 04e4be37-4d37-4c77-a4ef-388c255fa73f · outbound

This paper cites Geoclip: Clip-inspired alignment between locations and images for effective worldwide geo-localization.Advances in Neural Information Processing Systems, 36, 2024.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Geoclip: Clip-inspired alignment between locations and images for effective worldwide geo-localization.Advances in Neural Information Processing Systems, 36, 2024

Reference 2

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Observation 1448e4e4-26c9-4771-9827-d5cc1ed944e8 · outbound

This paper cites Pigeon: Predicting image geolocations.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Pigeon: Predicting image geolocations

Reference 3

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Observation dc79d10b-96a2-45be-bd82-3622721a3f0a · outbound

This paper cites Video generation models as world simulators, 2024.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Video generation models as world simulators, 2024

Reference 4

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Observation f6bd4c8c-b112-4801-ab68-6a0e6550ac1e · outbound

This paper cites VideoPoet: A Large Language Model for Zero-Shot Video Generation.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy VideoPoet: A Large Language Model for Zero-Shot Video Generation

Reference 5

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Observation 4b222b6a-3874-4657-849c-8cd83b298ea3 · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 6

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Observation 9020d3a2-0b75-4415-84f7-57ff80fee889 · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Align your latents: High-resolution video synthesis with latent diffusion models

Reference 7

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Observation da437b05-6d30-44b3-8add-64bf1eaadf3f · outbound

This paper cites Structure and content-guided video synthesis with diffusion models.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Structure and content-guided video synthesis with diffusion models

Reference 8

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Observation 660da63f-05e8-47fe-9d3d-b2c758460781 · outbound

This paper cites Navigation World Models.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Navigation World Models

Reference 9

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Observation 1bf37812-8ed6-4d67-9e31-88047536c8a0 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy GAIA-1: A Generative World Model for Autonomous Driving

Reference 10

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Observation cc13b71f-a2a7-4878-91ed-35132d8f541d · outbound

This paper cites Diffusion Models Are Real-Time Game Engines.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Diffusion Models Are Real-Time Game Engines

Reference 11

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Observation bc9a3295-fc34-4eef-ac58-2357f5efa967 · outbound

This paper cites Dream to control: Learning behaviors by latent imagination.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Dream to control: Learning behaviors by latent imagination

Reference 12

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Observation 65861231-864b-4ae8-a6df-4f3bfebf5af2 · outbound

This paper cites Genie: Generative interactive environments.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Genie: Generative interactive environments

Reference 13

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Observation 9fd7095e-970e-4183-b1d5-4f953f4235a9 · outbound

This paper cites Planet dump retrieved from https://planet.osm.org.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Planet dump retrieved from https://planet.osm.org

Reference 14

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d4d2de75-2979-45dc-9df7-661d1c6f0499 · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 15

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Observation aa6ba4df-27e8-4de7-83aa-1df9a58850cf · outbound

This paper cites Video pixel networks.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Video pixel networks

Reference 16

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 22d9ad5c-c6be-4545-b1a3-dcc64fe6b8e8 · outbound

This paper cites Adversarial Video Generation on Complex Datasets.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Adversarial Video Generation on Complex Datasets

Reference 17

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Observation fe791880-6990-4bb5-b836-088386e1278d · outbound

This paper cites Unsupervised learning for physical interaction through video prediction.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Unsupervised learning for physical interaction through video prediction

Reference 18

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 627ad9ad-24b9-4870-bc55-a50a46a40d57 · outbound

This paper cites Transformation-based Adversarial Video Prediction on Large-Scale Data.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Transformation-based Adversarial Video Prediction on Large-Scale Data

Reference 19

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Observation c1ad3588-765a-4c26-bd1b-1367345378c9 · outbound

This paper cites Deep predictive coding networks for video prediction and unsupervised learning.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Deep predictive coding networks for video prediction and unsupervised learning

Reference 20

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 96f9b2de-f399-4b12-b639-b31edb7d822b · outbound

This paper cites Videogpt: Video generation using vq-vae and transformers, 2021.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Videogpt: Video generation using vq-vae and transformers, 2021

Reference 21

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Observation 5100b42b-89ec-4789-a45f-4b382d2c3b48 · outbound

This paper cites Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, and Karsten Kreis.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, and Karsten Kreis

Reference 22

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Observation b0faf90d-215f-44cf-adb8-8d8738cc2c98 · outbound

This paper cites Predicting video with VQV AE, 2021.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Predicting video with VQV AE, 2021

Reference 23

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Observation eb266bba-116c-4682-86fc-8cddc0824d5a · outbound

This paper cites Ccvs: Context-aware controllable video synthesis.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Ccvs: Context-aware controllable video synthesis

Reference 24

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Observation 2fbe121d-ce67-4b54-ade3-27bab1b9fb44 · outbound

This paper cites Diffusion models for video prediction and infilling.Transactions on Machine Learning Research, 2022.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Diffusion models for video prediction and infilling.Transactions on Machine Learning Research, 2022

Reference 25

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Observation c277f227-623c-4d6b-b3ae-71d7522abe77 · outbound

This paper cites Make-a-video: Text-to-video generation without text-video data.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Make-a-video: Text-to-video generation without text-video data

Reference 26

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Observation b435dfd3-d289-4041-bf04-1f4969be6fb2 · outbound

This paper cites Kingma, Ben Poole, Mohammad Norouzi, David J.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Kingma, Ben Poole, Mohammad Norouzi, David J

Reference 27

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Observation 4df71208-2c94-4219-8c98-d87e1644b4da · outbound

This paper cites Video diffusion models.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Video diffusion models

Reference 28

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Observation fce7da0f-e95f-43d6-9eec-f99c1de11fbc · outbound

This paper cites an unresolved cited work.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Unresolved cited work

Reference 29

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Observation b9c9d333-4172-461b-8fb2-caa2e57cc9af · outbound

This paper cites Sequential modeling enables scalable learning for large vision models.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Sequential modeling enables scalable learning for large vision models

Reference 30

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 04f726fd-b98b-4078-9143-a4324c4fea88 · outbound

This paper cites Drivegan: Towards a controllable high-quality neural simulation.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Drivegan: Towards a controllable high-quality neural simulation

Reference 31

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Observation c57bdc1f-9220-417e-bd4a-0c63d6e94b4f · outbound

This paper cites Scalability in per- ception for autonomous driving: Waymo open dataset.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Scalability in per- ception for autonomous driving: Waymo open dataset

Reference 32

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Observation a3ef4743-ce24-419b-af3b-9776a22812be · outbound

This paper cites Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom

Reference 33

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Observation 56540233-1529-4e50-9eb7-aabe944555a3 · outbound

This paper cites Argoverse 2: Next generation datasets for self-driving perception and forecasting.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Argoverse 2: Next generation datasets for self-driving perception and forecasting

Reference 34

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Observation f28c585c-757b-4384-bce1-08c301f6e429 · outbound

This paper cites Recurrent world models facilitate policy evolution.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Recurrent world models facilitate policy evolution

Reference 35

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raw_fallback, observed 2026-08-07T04:16:25.986954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:16:21.755053Z digest=sha256:05e36eb8cfdf30a44426e0a75180a408c9267600d5930491b515578dee61f5a6

Observation 8d0f80d9-3628-45e3-9f2a-f519f431097b · outbound

This paper cites Action-conditional video prediction using deep networks in atari games.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Action-conditional video prediction using deep networks in atari games

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:16:25.815761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:16:21.841452Z digest=sha256:2627588409df3b205fa6928b5380bf4b0b1fc3f218ca532a579ea30565f94b0b

Observation 17652cb7-0480-4f1a-9cf4-aae5e8ea137e · outbound

This paper cites Action-conditioned benchmarking of robotic video prediction models: a comparative study.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Action-conditioned benchmarking of robotic video prediction models: a comparative study

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T04:16:21.923390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:16:21.923390Z digest=sha256:d44ceb42fc3669b51e9d4c8b4a37191ed229250aec03c7791c862c7a93c7a0ad

Observation a4ed42f7-3933-4694-82a9-4bbc79507d25 · outbound

This paper cites Mastering atari with discrete world models.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Mastering atari with discrete world models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T04:16:22.017273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:16:22.017273Z digest=sha256:79c4bda039a0df5f6110647f917f3dec3f6bcfda1e86bf8ce69d90fa5063e133

Observation 2c23d774-5b87-4aa9-a24d-7cd9aa02c8b8 · outbound

This paper cites Transformers are sample-efficient world models.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Transformers are sample-efficient world models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:16:25.714076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:16:22.107191Z digest=sha256:db7f043c89d459e6d242cb1d8cc78518b9b412fd7069dfe82e86e80328a5e7b2

Observation ac337680-8d0f-4c1d-a92f-db75feee6d29 · outbound

This paper cites Transformer-based world models are happy with 100k interactions.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Transformer-based world models are happy with 100k interactions

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:16:25.549740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:16:22.189968Z digest=sha256:19d022595055c486f62bed78726e2ae2ea5abe54c08ea392e13032863a3b6fa0

Observation 303a93ad-80ec-47f3-9566-36c927be1c56 · outbound

This paper cites Learning to simulate dynamic environments with gamegan.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Learning to simulate dynamic environments with gamegan

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:16:25.449913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:16:22.282949Z digest=sha256:f0ade952fa40a996d21df2d2962b53809da75641fd5f8367828dfb4ddf0fc565

Observation 5d8aea56-5969-454e-80c5-0b1fc7cd7de5 · outbound

This paper cites Drivegan: Towards a controllable high-quality neural simulation.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Drivegan: Towards a controllable high-quality neural simulation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:16:25.313143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:16:22.385193Z digest=sha256:046eb745f2416a0810248da549474b524202de58b1a4ec022858e69c5ea4c629

Observation d26ded5e-0bb0-463a-b836-a47373aff2af · outbound

This paper cites an unresolved cited work.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:16:25.162515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:16:22.463588Z digest=sha256:8d60349cb8b03286dc04caed8cd877936022e6c324c9dd99956f4e41640620e4

Observation 1403fcf0-4522-48de-aaeb-ec04d8234496 · outbound

This paper cites Recurrent environment simulators.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Recurrent environment simulators

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:16:25.051882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:16:22.580543Z digest=sha256:02328bd21fe5c354679020d37d9bfce3ea4a288b6a05b1683c2895d6552c9938

Observation 161254ad-f2d0-40f5-97e2-eb855bf6181f · outbound

This paper cites Iso-dream: Isolating and leveraging noncontrollable visual dynamics in world models.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Iso-dream: Isolating and leveraging noncontrollable visual dynamics in world models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:16:24.899020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:16:22.662937Z digest=sha256:9b4fc3888e77bb328bdb5dbe667fb0df9ed9c7ce57c65b24f95cb94b9d99f430

Observation ca398826-78ea-4516-9345-b02cd6231a1c · outbound

This paper cites an unresolved cited work.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T04:16:22.730251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:16:22.730251Z digest=sha256:ddf66b9e65e0fe04889f84c5993658aaabb05e9cc30b0fc9ae538a3c3f77159e

Observation 7da16826-7672-42ed-97a0-260ab6805a28 · outbound

This paper cites DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T04:16:22.829701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:16:22.829701Z digest=sha256:0c356540df8a8b14624b00473beee9295c46d57da668d168cb0bd5afe9af57ea

Observation 69b47442-496b-4f24-9ed9-585e19cc31cf · outbound

This paper cites Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T04:16:22.905844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:16:22.905844Z digest=sha256:0ea38eb22f256541cc09ade1485286460747068fab47efc9907f9f33c91a3928

Observation 4458b2b9-2c7c-451e-b329-4262290331da · outbound

This paper cites Pixel recurrent neural networks.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Pixel recurrent neural networks

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T04:16:22.999951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:16:22.999951Z digest=sha256:70540fad00a5725f649c5268a72d1c859c636b232d01cc1680adfa208d2ae268

Observation 59223df1-174a-4eca-9aa4-02ec2c5b1300 · outbound

This paper cites Video pixel networks.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Video pixel networks

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:16:24.760476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:16:23.092143Z digest=sha256:32a9a53a67392e624c4c3811ed965db55a00aa78ca4d9976b1337836bb3789b2

Observation b0836154-ef4c-4004-9056-9cffa414c8e1 · outbound

This paper cites Maskvit: Masked visual pre-training for video prediction.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Maskvit: Masked visual pre-training for video prediction

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:16:24.602336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:16:23.171213Z digest=sha256:4cd1d289c32165531e7385d7aa5469e6318d7d11f49079ca526af59fa0624dcc

Observation 5bd1bd58-a325-4622-82cc-143a2f63b645 · outbound

This paper cites Autoregressive video generation without vector quantization.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Autoregressive video generation without vector quantization

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:16:24.467872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:16:23.233598Z digest=sha256:93be0aae977f6bdcbf55a7297d4ec38a4f9981b611477dfe827da9b14b6a4c5c

Observation fc53fda0-51a3-454c-9a6b-05177da47089 · outbound

This paper cites Long-Context Autoregressive Video Modeling with Next-Frame Prediction.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T04:16:23.304440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:16:23.304440Z digest=sha256:b5e334d8d0fb0937d912a80f9eb28343baf6cdc44a8d317ff68077a8568ce615

Observation f97b5a5d-9164-42e0-8304-9c735f48993d · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Bdd100k: A diverse driving dataset for heterogeneous multitask learning

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:16:24.346655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:16:23.361913Z digest=sha256:a86050f47f5e0d42aaf935741ae899cca20b27c211c1990b06bab1f428c17a8c

Observation 87ce126d-d30e-443f-9ce2-531adc19047d · outbound

This paper cites Kesten, M.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Kesten, M

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:16:24.231306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:16:23.430589Z digest=sha256:1b525b4de0d80d091b797ce4b4d1a0e44cc47a761609e49a4172fa32986a5299

Observation fe395e9e-1f1a-4a28-865e-bb0f15fc46d6 · outbound

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

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy LLaMA: Open and Efficient Foundation Language Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T04:16:23.493262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:16:23.493262Z digest=sha256:d615544e806bd8f78460e5bb43b8e5fa32d179f6a93ce95546bd2d28e0a71455

Pith citing papers

No inbound Pith citation observations are available.