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Paper Citation Record · LEDGER

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

As of 5 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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:68702cdaf0e39e0341c01325310bbfdd2947ba70b5bd914ecd6e8fbcbff12879

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:ebb16f13af9dd45db3cada62ef1079f70ae8bf16cfb2bea81961862edae2e5bd

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:5afa8991086b53bf58aa1b4a5176e2b015212d69710b219f8fcd8e052bfd7caf

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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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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:163d056c88abc401ae819ec2e451736248963b1389d86826c66e4303ff1901a8

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:e96df75965b95c3c20e80966fbbb5f4579cc64c7427fede51b6fdf2805db77fd

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:2dc6c5ce1196c8b32d248ae2643e6425b5b225e2c0fbbb98081e7c8b87a54e70

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:9bf0193e67ccce248933c623750e9fec86d4f4a7e8b4687bc6d5c273bd810437

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:8e68233acbe6d5cafe7b82aeb4b485b2a0b912dbb9134af4df5ee52d8cd34bcc

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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:9efe1239d2fd369ea4d3af4da11d3075911e71941f455f4093e8aafe2d0d4446

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

Resolution
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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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:ed974e6f2fd8de6234c192111acbc27c3330c5c4114f49e711076b2b0b148b4e

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:827324f91ac51be854c459f6de10c7a2c9b3ac53a2c96ce5f8e17608b322e4aa

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
verified fuzzy
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:c3a52f4d1a40769ed5bf9add981b681ff6a1264f111da8514f30f15d42917e2a

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:3b576a98c9b31a29e9f25b07d6abfbb0661b34af061cc6adc3a7f57989ba7339

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

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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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:eff9d6ab3fb0b210adf7d07660c2edc2d88634a4894242e539c93a0b49b362a0

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:748e38f35600d9c8ab047f93f41d46ec6482c158a1834dad4ac28cc109a3d635

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

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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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:b414d5216489c6026f8e51b193a012df524b3a52ffa18472487b23711ce0385d

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

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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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:f93fda48716177f5ff587057ef1e5899513f6319e63cb338882d746f00caf8a0

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

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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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:f4ec9c4a869522b0772599466422769a2651666769bfbced0ad8ce6b7b2a8729

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:f243fdb0398650fd4c98aedb6b4625024d657f3afcf56fe167ef3df4a57a5d53

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:db6017dde92939a44d6cf74b69ff7392847d1b0b8a007547aec5197863f42668

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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:41fc315fe6c7bf24ebac5289662a4216adcba51eb570e084f8e180bdeed295e8

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:8b6668e4ee1c32011d6ce56f3ca9c3e6d8e3b032f354f745fdefd91a82329276

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:5cf1a0bf07c55ee2d2b672156f03499479a7f8d7544b4ae2bc7d084bd6cd6f02

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:97209f54ab5fce05fcdb4fe5d38249cabab25ea5aa0596c8aa8ed94812ccaac5

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:53:58.695063Z digest=sha256:1bc61f48dcc236d67ebc8aac60d9c56647ff29de0d636ad6b60f123d9d82993f

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T05:14:11.034474Z digest=sha256:24ebdd001e74b9ddb49a30d941aa669d586be4bc940b05b24fd06129c3c16bc5