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Paper Citation Record · LEDGER

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting

As of 6 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2604.21489.

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

pith.paper-citation-record.v1
2604.21489 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T21:53:58.695063Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T05:14:11.034474Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T14:54:45.900437Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact6
  • verified fuzzy21
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 908839e6-4831-4cbe-a82b-acad39c66dee · outbound

This paper cites Nuplan: A closed-loop ml- based planning benchmark for autonomous vehicles.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Nuplan: A closed-loop ml- based planning benchmark for autonomous vehicles

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 92a06a87-a724-45b3-b3ce-3ea5f3a81b7e · outbound

This paper cites Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset

Reference 2

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verified fuzzy
raw_fallback, observed 2026-05-23T15:25:41.789690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 6c9477cc-9833-4e9d-bf86-0eb09075454b · outbound

This paper cites Planning-oriented autonomous driving.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Planning-oriented autonomous driving

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 1db41a8d-146b-4669-8945-6462259586b4 · outbound

This paper cites PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving

Reference 4

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verified exact
arxiv_id, observed 2026-05-11T14:26:02.628501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:f337082bba26af1c1b532822b4033bf3e187776c2b313965d132d0c5a0f711ce

Observation f4f19a88-f84a-4f2e-ae37-bb071ccd5382 · outbound

This paper cites Diffusion-es: Gradient-free planning with diffusion for autonomous driving and zero-shot instruction following.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Diffusion-es: Gradient-free planning with diffusion for autonomous driving and zero-shot instruction following

Reference 5

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verified fuzzy
raw_fallback, observed 2026-05-23T15:25:41.801252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:eb4617ee000eb1a0447ce24de335259d8d9329b6d6df9fb8e6acf1711a719b35

Observation 61463e04-03c7-4b18-95c6-b696abc76077 · outbound

This paper cites Consistencydrive: Efficient end-to-end au- tonomous driving with consistency models.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Consistencydrive: Efficient end-to-end au- tonomous driving with consistency models

Reference 6

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verified fuzzy
raw_fallback, observed 2026-05-23T15:25:41.781092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:58dfcc24864c6356a017b3927160e070a814efb056c7af101210ccd5a346b918

Observation 00f27c11-e91c-4b16-9067-a738c090ba19 · outbound

This paper cites Predictive Planner for Autonomous Driving with Consistency Models.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Predictive Planner for Autonomous Driving with Consistency Models

Reference 7

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verified exact
arxiv_id, observed 2026-05-11T14:26:02.664034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:719858f8c4bb6b9f8fc23b826c5783328ffe204c5fb7157191e680eccd4a65c8

Observation 26e2183a-6024-4023-bb18-2f5ed699e231 · outbound

This paper cites Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation

Reference 8

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verified exact
arxiv_id, observed 2026-05-11T14:26:02.679049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:e089a49ee7b05ded5d321e85677f3abd3f43a9d87a83de65bd60bb60d2420de4

Observation 998de0dd-3d5a-4260-bcdf-6f379deea190 · outbound

This paper cites arXiv preprint arXiv:2602.20060 (2026) 2, 3, 4, 10, 11, 12, 20.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting arXiv preprint arXiv:2602.20060 (2026) 2, 3, 4, 10, 11, 12, 20

Reference 9

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arxiv_id, observed 2026-05-11T14:26:02.650130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 3a6f09bf-af45-48e7-bce6-44130d7b5e2d · outbound

This paper cites Vectornet: Encoding hd maps and agent dynamics from vectorized rep- resentation.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Vectornet: Encoding hd maps and agent dynamics from vectorized rep- resentation

Reference 10

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verified fuzzy
raw_fallback, observed 2026-05-23T15:25:41.768978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:66fbdf6a2037ca626d636e4c2395871295ad7e13c02e437cb77ef08e8ebf0499

Observation 4ed1f1ef-98d8-4325-8d82-3cdd555661dc · outbound

This paper cites Generative Modeling via Drifting.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Generative Modeling via Drifting

Reference 11

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verified exact
arxiv_id, observed 2026-05-13T08:46:59.150235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation d64810ca-e42f-4543-ae50-8e5369eb5265 · outbound

This paper cites Mlp-mixer: An all-mlp architecture for vision.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Mlp-mixer: An all-mlp architecture for vision

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:25:41.772892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:40708ed08186a2e8747be091f573d90519c0bf6a60f309103e3edd6404f5b793

Observation 230655fa-eb54-48ae-8767-6d71937dc7ac · outbound

This paper cites On the road to portability: Compressing end-to-end motion planner for autonomous driving.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting On the road to portability: Compressing end-to-end motion planner for autonomous driving

Reference 13

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verified fuzzy
raw_fallback, observed 2026-05-23T15:25:41.776710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:4c48805134af29439592bb15ef694d23cf5146ad3af8deaa9ef343e892f05e11

Observation 42e330bf-43bf-4066-84d9-d3edba60799d · outbound

This paper cites Diffusion-based planning for autonomous driving with flexible guidance.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Diffusion-based planning for autonomous driving with flexible guidance

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:25:41.793706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:93db9c5c0ac745632389be9c704dc4f1a8ae70626a3f6aaa208f966eaa5542a5

Observation b69cbb1a-9eb8-48d1-9ace-431faf14f40b · outbound

This paper cites Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving

Reference 15

Resolution
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raw_fallback, observed 2026-05-23T15:25:41.760304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:f20433311d5f331adf539a3328a277d6dd35520005f6d5dbfe9de25b299aef1e

Observation f8c953eb-1c2f-469b-9d43-ece2ec1ea958 · outbound

This paper cites Diff-refiner: Enhancing multi-agent trajectory prediction with a plug-and-play diffusion refiner.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Diff-refiner: Enhancing multi-agent trajectory prediction with a plug-and-play diffusion refiner

Reference 16

Resolution
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raw_fallback, observed 2026-05-23T15:25:41.742033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:e9794355137ffff7fd3ef7a35a1333b83a35c078769171ea1e36b735c647ee37

Observation ad191fd3-78d2-49e9-aaf0-3f1bad1913eb · outbound

This paper cites Goalflow: Goal-driven flow matching for multimodal trajec- tories generation in end-to-end autonomous driving.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Goalflow: Goal-driven flow matching for multimodal trajec- tories generation in end-to-end autonomous driving

Reference 17

Resolution
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raw_fallback, observed 2026-05-23T15:25:41.730001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:fddbaeecb158e10aa9cc83040f88b058c90378b4ed9a531fe1ee18e8d114d727

Observation 9703a090-7f73-474e-acc2-1aa43c18ad86 · outbound

This paper cites Trajflow: Multi-modal motion prediction via flow matching.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Trajflow: Multi-modal motion prediction via flow matching

Reference 18

Resolution
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raw_fallback, observed 2026-05-23T15:25:41.724711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:0eeb06cc94cad93c71031af2a166e1eeb31518fd009f787c818903e92e6e7afc

Observation 66b96669-8a5a-477b-a1a1-74cdc6595d79 · outbound

This paper cites Resad: Normalized residual trajectory modeling for end-to-end autonomous driving.arXiv preprint arXiv:2510.08562.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Resad: Normalized residual trajectory modeling for end-to-end autonomous driving.arXiv preprint arXiv:2510.08562

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:26:02.714656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:fb4ab1b94f824026fd88d81545abac4f1c13c27bd91a3c9fd74fe5fd8bf08828

Observation 35d7eac2-4392-4c0c-acb4-6f0824f47612 · outbound

This paper cites Learning lane graph representations for motion forecasting.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Learning lane graph representations for motion forecasting

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:25:41.714585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:8f9cb30018613b89c6266a69d50a1ff28276f2d273a8daf74be1b4643ee5eed4

Observation bffd1947-d483-4820-897c-72581d3d04b4 · outbound

This paper cites Vad: Vectorized scene representation for efficient autonomous driving.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Vad: Vectorized scene representation for efficient autonomous driving

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:25:41.750170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:88ce74cbeb7ad683f676beb75f7b4af7f295288298912148a9feacbf26378b30

Observation 48f93a0f-922e-4ade-a86a-214b95f6aa7d · outbound

This paper cites Hivt: Hierarchical vector transformer for multi-agent motion prediction.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Hivt: Hierarchical vector transformer for multi-agent motion prediction

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:25:41.706752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:32bb8f96cb34add7c0fe34530c192b439b7d77f6bb3c3cae787a33a902695589

Observation e2b25494-1341-462a-9792-97391bb10c12 · outbound

This paper cites Trajvae: A vari- ational autoencoder model for trajectory generation.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Trajvae: A vari- ational autoencoder model for trajectory generation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:25:41.746213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:157a9b2e3372d49af109a925f96850f608ecf709c122833d1dcf3960b956197a

Observation d38b7317-50ff-4554-b287-bdf9634fe2fe · outbound

This paper cites Pocketdp3: Efficient pocket-scale 3d visuomotor policy.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Pocketdp3: Efficient pocket-scale 3d visuomotor policy

Reference 24

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verified exact
arxiv_id, observed 2026-05-11T14:26:02.703380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:048a42b769610b2552622ac61730ef6ff0b6a8c18fda95c87aa92d64938cdaa2

Observation 808c5133-aaaf-4f19-92ff-fcf355d530bf · outbound

This paper cites Congested traffic states in empirical observations and microscopic simulations.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Congested traffic states in empirical observations and microscopic simulations

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:25:41.755494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:fcbcc610a23f7f5b6b7b0151901b0cd5a0e1048a701a353dd0960ca2af67e919

Observation 442a4e30-2014-439b-b3b7-47f46315a551 · outbound

This paper cites Parting with misconceptions about learning-based vehicle motion planning.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Parting with misconceptions about learning-based vehicle motion planning

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:25:41.702608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:80a4b62581bce6f1fa959d28f1d6d50657d712680d6b33e34a8b324d32adbead

Observation a4d6e485-06f7-4091-a446-f20720afb55d · outbound

This paper cites Gameformer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Gameformer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:25:41.710684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:78f3b97b2a4124b5f4ac180fe72a4be8e7d2f401b1468a50239f2d073c5f6568

Observation 8435c40c-ea80-462c-a4b5-3a02e31cdd65 · outbound

This paper cites Rethinking imitation-based planners for autonomous driving.

MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting Rethinking imitation-based planners for autonomous driving

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T15:25:41.735695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:8dbcc1140a0d8bde1281f6a283f554008fa8d1e368ad945b4d1fef06ae08521e

Pith citing papers

Observation b9125f7a-ce0f-4f0c-92de-f523db0601fc · inbound

Learning from Mistakes: Rollout-Retrieval Lifelong Policy Learning for Autonomous Driving cites this paper.

Learning from Mistakes: Rollout-Retrieval Lifelong Policy Learning for Autonomous Driving MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-06-30T14:54:45.902077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T05:14:11.034474Z digest=sha256:486b61639226c47ca7e78f96b801ad6b8315c3d2d3ab8cba5682bfba2504f665