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Paper Citation Record · LEDGER

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation

As of 23 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2605.11596.

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

pith.paper-citation-record.v1
2605.11596 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T06:31:26.421088Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T03:08:13.178665Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

  • verified exact31
  • verified fuzzy2
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 967b6be1-d3df-4bac-9ca4-dd73527ecdbb · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Building Normalizing Flows with Stochastic Interpolants

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:35:25.014737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:2180cbfbea3adb75521609139f78e22024c867636bd4ecaa9da93ae8e622bdaf

Observation dd07bfe7-bc80-4bc4-a7f8-acddcf8c4957 · outbound

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

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:35:24.970931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:ba32432515401d06225efcf2c6f1ccc7587c1ff4ab1e0576c9e9a635d7280bc1

Observation 61904a95-faee-47b2-9ed6-cc515e0a13ce · outbound

This paper cites Mixture of contexts for long video generation.arXiv preprint arXiv:2508.21058.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Mixture of contexts for long video generation.arXiv preprint arXiv:2508.21058

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:35:24.904957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:e897e3e4f699406614696fa2536c6949cf24f1cc2a4d8440d9188c2f6197df3b

Observation a985bbe3-ba99-440f-8cda-17740889876c · outbound

This paper cites Self-Forcing++: Towards Minute-Scale High-Quality Video Generation.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Self-Forcing++: Towards Minute-Scale High-Quality Video Generation

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:35:24.938771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:d2020c2c751d0a8655ec56f76273eb151d41920cb274c3106ab5ce831a0bbf12

Observation 533936dc-9206-4237-ac4f-e471b892e262 · outbound

This paper cites MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:35:24.914430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:37fa7bea834e3abe7eb2d7018d10151935cb99f82107e0e0352ca6f646944911

Observation fdb6ef44-1bba-4d0f-90e7-345f9820bf14 · outbound

This paper cites Mean Flows for One-step Generative Modeling.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Mean Flows for One-step Generative Modeling

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:35:25.004347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:c50fafd9fc54a494b347a9ca93a4c40d99427758021d9a14fa73c1f4d67fc2c3

Observation 1c18a08a-d7c1-48e4-abd5-2fe20b0c1b14 · outbound

This paper cites End-to-End Training for Autoregressive Video Diffusion via Self-Resampling.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation End-to-End Training for Autoregressive Video Diffusion via Self-Resampling

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:17:24.702694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:0d334600b7bb84e29ed4348c0ffd319872900881bf27c319d17172bb34e333d3

Observation 3749ab35-7a5a-42ff-965e-a5cc00b56e3c · outbound

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

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation GAIA-1: A Generative World Model for Autonomous Driving

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:35:24.928730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:70008b6c8edd9f78b06a41021cc217ca4fb6a720ca86c9bcdd768ad419b44b9a

Observation 5cf02472-b424-4867-a3ca-1d30b58e40bd · outbound

This paper cites In-Context LoRA for Diffusion Transformers.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation In-Context LoRA for Diffusion Transformers

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:35:25.009268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:4c9be58e306ef1b540be73425ccf4865283c22cbf3ef9194b380a6d771a93614

Observation 9aee1872-01c9-4d33-ab3f-633fd7499f6a · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:35:24.949504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:1404d8454cc2898fdef1c4070f02de7d1343d8e1fe462f7fa15bdf7d7721bdbf

Observation 18963431-c1aa-41c7-bcfc-dda8135bdf08 · outbound

This paper cites Stable video infinity: Infinite-length video generation with error recycling.arXiv preprint arXiv:2510.09212.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Stable video infinity: Infinite-length video generation with error recycling.arXiv preprint arXiv:2510.09212

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:35:24.960387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:10ab590df44f580538d052e4a38f0e6d8aabb55a72bdbea0e200ad4816b18966

Observation 44d282ef-fc11-4851-aa62-6837b2a30a96 · outbound

This paper cites Flow Matching for Generative Modeling.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Flow Matching for Generative Modeling

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:35:24.991741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:5ef7cbac16fcfd7623069f561d531ed8b321ed3a0649ed49fddc20d1031e8bef

Observation b0819596-6a0d-427e-ae5d-9cf6783bb677 · outbound

This paper cites Decoupled dmd: Cfg augmentation as the spear, distribution matching as the shield.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Decoupled dmd: Cfg augmentation as the spear, distribution matching as the shield

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:35:24.966385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:9d39b368037d9a908b038dc3152b00c416eaf4d10a46d0d21ae172a58fec9601

Observation d427552a-f2fe-4715-a1fb-3be5be616e75 · outbound

This paper cites Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:35:24.933805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:08a962c1698f2d164d9a457a72fec8ae7a9575de98cf3cf88a22811ce678dbda

Observation 66a81794-7009-4c09-870e-1431f8866837 · outbound

This paper cites DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving Scenes.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving Scenes

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:35:24.900052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:5691fd82dd421dd4f65b01ccc1fcd31d39ff930b1bc6817040633253f0c51997

Observation a070f259-bcf7-4f74-b929-cad81b593f88 · outbound

This paper cites FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:35:24.955446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:0c98feb25d6f4966266ccb924444c208fcf4c0c440507b13b02fb33eb7a76aee

Observation 77fc0458-ef0d-41aa-a504-688668dd6f5f · outbound

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

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:35:24.996225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:b1388aa38d7d74485c0a79e7b680847c591792eedb6a7fcd9b279f5ec9caa0a4

Observation b3761c3a-f391-46a0-aeba-8c67d040aad5 · outbound

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

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:35:24.895246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:79b2e2195ff00fac204393ef61c9317ba8c9961cbea49c6af8f0aa640fc22e58

Observation 56b0c9f8-6abb-452e-a137-ee59da043dfa · outbound

This paper cites WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:35:24.881415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:1569badbbc234b0a8bf86d9e6750c3cc45ff4bd6bab8fb6eef4032c5ead7ac8a

Observation ac378d7a-1f1b-49ca-9dac-a8d27ddbd6cf · outbound

This paper cites Longcat-video technical report.arXiv preprint arXiv:2510.22200.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Longcat-video technical report.arXiv preprint arXiv:2510.22200

Reference 20

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verified exact
arxiv_id, observed 2026-05-25T06:35:24.876148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:4e7338645f290c27ffa48b38e3106964dc747de8326693ea4de94fe5a3048d77

Observation a8bcfb95-b757-4912-8f32-1936f96d01e4 · outbound

This paper cites Advancing Open-source World Models.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Advancing Open-source World Models

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:35:24.919096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:ec68f84ca2c6719281f0b9435c37e150b4f2bc12f4cc40b0ca2d85a0586c3341

Observation 4d985c30-4b09-469a-ac66-7787feaa1639 · outbound

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

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:35:24.943849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:3c2a76f0059f819fb97a91aabf07c80f9217f0cdc7ff85f7cb692edb41b587be

Observation b5dfee96-f119-4159-b1bb-c42a20a00e64 · outbound

This paper cites Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:35:24.923887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:397b64722a67fafbc0b0e3b69f93a19ad5bd83483cccb31733ff0e511b8270f5

Observation ea5af6ab-cfae-43be-941c-beef637afcfa · outbound

This paper cites Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:35:24.886088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:86cd471e2207dda1797563b56b026382a545bf951259f0995d73475927726b6d

Observation 60f42229-8d82-496b-a2bd-8d033be65e82 · outbound

This paper cites LongLive: Real-time Interactive Long Video Generation.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation LongLive: Real-time Interactive Long Video Generation

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:35:24.909652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:822237f58bf7d7c4cc73f34d2ad7493c3caa80152d966b03bb328fadebd62952

Observation 8e8b7962-e0f0-4965-aad5-01c95d800379 · outbound

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

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:35:25.000411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:fe2de413c8cf6b30c5786b69d9de3a11c0bde10c4fea3f0708f6c073c2fc14d6

Observation 1172cc68-abc5-4da0-82d3-0718d1a2f04e · outbound

This paper cites Improved distribution matching distillation for fast image synthesis.Advances in neural information processing systems, 37:47455–47487, 2024a.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Improved distribution matching distillation for fast image synthesis.Advances in neural information processing systems, 37:47455–47487, 2024a

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:35:25.024653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:e68c1246571b0497363d3e4cc42557faf6750d661c7276b9078d5ee2e4910772

Observation d91a4aa3-8ba6-418f-8bcc-cea21c624273 · outbound

This paper cites Composing driving worlds through disentangled control for adversarial scenario generation.arXiv preprint arXiv:2603.12864.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Composing driving worlds through disentangled control for adversarial scenario generation.arXiv preprint arXiv:2603.12864

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:35:25.019658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:367936077ae995a5386e843b9791af05331cf933dba8eb3daf6fc0c275614c26

Observation c2c8e0a1-7afe-4002-b0c5-4cd8041692d6 · outbound

This paper cites Epona: Autoregressive Diffusion World Model for Autonomous Driving.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Epona: Autoregressive Diffusion World Model for Autonomous Driving

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:35:24.986495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:9ebb9e5bc3f66c5340b7eb2d477f293ba9c7a12fdfd334265f361ac4c088b73c

Observation 1a41fc2c-dcd7-4bcc-a12c-daf190a76b1f · outbound

This paper cites Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:35:24.891533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:98338202237efa4edda8dbe239871dcd91e9044ecf40fd4c4260dbbcc6b13e72

Observation af226bee-cd8b-4737-8fed-f71ff1a4fe87 · outbound

This paper cites Open-sora: Democratizing efficient video production for all, 2024.URL https://github.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Open-sora: Democratizing efficient video production for all, 2024.URL https://github

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T06:36:42.588739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:4d9730334ca2a6f7555e960268a595ced91d88820a65013524514a1e8275d299

Observation 85c76952-95ac-4d98-9123-26951c444770 · outbound

This paper cites Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:35:24.976043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:ceb8d61e96124c0b7b5ed382167bebe75dda8e68e35ee0a30cb7c666c93151f6

Observation c2dfbfcc-bc05-4599-bc99-599cefdbc03c · outbound

This paper cites an unresolved cited work.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-05-25T06:36:42.593118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:5733d02740b731f806a8578b5a5aff422c1550427e06211e96dc9361cf7a7857

Observation 5dddf22b-c8f4-499d-bd4b-797ff3181bdd · outbound

This paper cites Longer rollouts of up to one minute on a self-collected dataset are demonstrated qualitatively in Sec.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Longer rollouts of up to one minute on a self-collected dataset are demonstrated qualitatively in Sec

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T06:36:42.600692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:4f5fec28476639c2893b07f9da6437316e23df452955802db9925a22bc552284

Observation ec8927b1-cf4e-499e-96ba-45147644a914 · outbound

This paper cites an unresolved cited work.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-05-25T06:36:42.596469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:5b4f543b9a10b2b2230779785c3a85a170d60817a9ee90ac5ea798f88332147c

Observation 4cd18abe-6695-4bb9-8ad5-d761aecec230 · outbound

This paper cites an unresolved cited work.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-05-25T06:36:42.584881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:2ecddf40b968902b5b9060b615ff943ac14e107989bdcdf0b8960efa1e9aeb39

Pith citing papers

Observation d9808f82-2170-489a-b6cd-2d4da383cc95 · inbound

M$^\text{4}$World: A Multi-view Multimodal Driving World Model for Interactive Object Manipulation and Minute-long Streaming cites this paper.

M$^\text{4}$World: A Multi-view Multimodal Driving World Model for Interactive Object Manipulation and Minute-long Streaming HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-02T03:08:13.178665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:08:13.178665Z digest=sha256:8a567365ca4fe8dccbaac8067e92c55f85dd35969852094703919c60aa5df8e8