Paper Citation Record · LEDGER

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers

As of 22 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2512.15038.

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

pith.paper-citation-record.v1
2512.15038 v3

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:42:12.349268Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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verified fuzzy0
unresolved43
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fa2adc83-076e-4c58-9497-0f6b4fb194b1 · outbound

This paper cites Autonomous driving system: A comprehensive survey,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Autonomous driving system: A comprehensive survey,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:08.196968Z

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Observation 114a21b1-b25c-49fb-b949-b673d6898114 · outbound

This paper cites End-to-end autonomous driving: Challenges and frontiers,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers End-to-end autonomous driving: Challenges and frontiers,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:08.324144Z

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Observation 1656e27e-96e2-49c0-9d04-73a14007c873 · outbound

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

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Genad: Generative end-to-end autonomous driving,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:08.392813Z

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Observation a2236027-f716-4932-8b38-40a618dec567 · outbound

This paper cites End- to-end autonomous driving through v2x cooperation,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers End- to-end autonomous driving through v2x cooperation,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:08.530046Z

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Observation b62cd66e-9860-4df5-b3dd-c0ca8dbd19fc · outbound

This paper cites A survey of optimization-based task and motion planning: From classical to learning approaches,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers A survey of optimization-based task and motion planning: From classical to learning approaches,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:08.671523Z

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Observation 4199b51a-a8df-4345-a750-6c7fe1ba4743 · outbound

This paper cites Real-time performance-focused localization techniques for autonomous vehicle: A review,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Real-time performance-focused localization techniques for autonomous vehicle: A review,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:08.792351Z

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Observation 228bda8d-a05e-42f9-b324-4cc47d2d748e · outbound

This paper cites Unitr: A unified and efficient multi-modal transformer for bird’s-eye- view representation,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Unitr: A unified and efficient multi-modal transformer for bird’s-eye- view representation,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:08.894636Z

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Observation 4d079edf-3195-4747-9490-66c1e91d9f06 · outbound

This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:08.952353Z

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Observation 969acd42-9607-4625-87fb-08f2a0dd3b5f · outbound

This paper cites Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:09.060661Z

Source-reported events for the cited work

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Observation 37197ade-4f8f-43b3-861b-6ff012c5b9da · outbound

This paper cites A safe motion planning and reliable control framework for autonomous vehicles,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers A safe motion planning and reliable control framework for autonomous vehicles,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:09.232389Z

Source-reported events for the cited work

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Observation e88e6fac-fab5-4207-a6e9-34a50a4b1fb0 · outbound

This paper cites Llm3: Large language model-based task and motion planning with motion failure reasoning,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Llm3: Large language model-based task and motion planning with motion failure reasoning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:09.303192Z

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Observation 7c8702ec-e9c1-4254-aa4b-0ea9bc3b51ea · outbound

This paper cites Motion planning for autonomous driving: The state of the art and future perspectives,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Motion planning for autonomous driving: The state of the art and future perspectives,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:09.409365Z

Source-reported events for the cited work

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Observation 17eeec67-fdfe-45db-b44d-8b7539a413ef · outbound

This paper cites Recent advancements in end-to-end au- tonomous driving using deep learning: A survey,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Recent advancements in end-to-end au- tonomous driving using deep learning: A survey,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:09.488397Z

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Observation ec4f6b3a-135b-4c74-b688-a001513e669b · outbound

This paper cites Is ego status all you need for open-loop end-to-end autonomous driving?.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Is ego status all you need for open-loop end-to-end autonomous driving?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:09.549765Z

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Observation 3b1da4e5-eb3b-4b0e-8936-c9cd4566409a · outbound

This paper cites Transfuser: Imitation with transformer-based sensor fusion for au- tonomous driving,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Transfuser: Imitation with transformer-based sensor fusion for au- tonomous driving,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:09.668546Z

Source-reported events for the cited work

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Observation f7341712-c8f9-4176-9b1b-b62796c4c902 · outbound

This paper cites Planning-oriented autonomous driving,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Planning-oriented autonomous driving,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:09.785763Z

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Observation bc158e81-0f93-4dce-b547-03651516e8d5 · outbound

This paper cites FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:09.886345Z

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Observation f8effc4d-582d-4ffa-a569-4bf721ddad3c · outbound

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

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Vad: Vectorized scene representation for efficient autonomous driving,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:09.963221Z

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Observation 8153c4cb-8621-41d2-9751-526f460555be · outbound

This paper cites VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:10.048508Z

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Observation 08013cd4-d48d-4046-a926-a76802013654 · outbound

This paper cites Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:10.160650Z

Source-reported events for the cited work

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Observation faf04377-9739-4250-b404-5bfeeda3bc66 · outbound

This paper cites Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:10.255843Z

Source-reported events for the cited work

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Observation 829bce12-606c-40c0-a0c2-b4164ec12fd6 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via ac- tion diffusion,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Diffusion policy: Visuomotor policy learning via ac- tion diffusion,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:10.377547Z

Source-reported events for the cited work

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Observation 5863703e-13ff-4763-8d3b-5162d8055bf0 · outbound

This paper cites DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:10.484406Z

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Observation fcbfcd38-957d-47c0-bdad-54e4dbad50cb · outbound

This paper cites DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:10.562951Z

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Observation be286ddb-ec76-4cf6-9948-993a0262f8c5 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:10.758548Z

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Observation 7557a26c-f3b1-4d54-9067-80960d93a2a6 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:10.887455Z

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Observation 484e32c7-8ad0-4861-ab94-cf1432376e1b · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers RWKV: Reinventing RNNs for the Transformer Era

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:11.005933Z

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Observation 87a15669-53da-4ed0-8674-aad7e832c006 · outbound

This paper cites Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:11.129890Z

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Observation 26ffc75b-6aae-46b9-b9c6-83bb4a5ca03c · outbound

This paper cites RWKV-7 "Goose" with Expressive Dynamic State Evolution.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers RWKV-7 "Goose" with Expressive Dynamic State Evolution

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:11.241474Z

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Observation 4c1ace1b-38cd-492d-af25-fb949571089d · outbound

This paper cites Kimi Linear: An Expressive, Efficient Attention Architecture.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Kimi Linear: An Expressive, Efficient Attention Architecture

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:11.328087Z

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Observation 05e25a5d-3b99-4e4b-826b-ff6739d35d97 · outbound

This paper cites Transdiffuser: End-to-end trajectory generation with decorrelated multi-modal representation for autonomous driving,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Transdiffuser: End-to-end trajectory generation with decorrelated multi-modal representation for autonomous driving,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:11.423087Z

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Unavailable: canonical work link unavailable.

Observation 18f43daf-49c7-4a58-96d7-a5d7a7c8071d · outbound

This paper cites Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:11.472183Z

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Observation e4874338-c31b-42a4-bfc8-ec92f820e0da · outbound

This paper cites iPad: Iterative Proposal-centric End-to-End Autonomous Driving.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers iPad: Iterative Proposal-centric End-to-End Autonomous Driving

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:11.529109Z

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Observation 3379c951-d59c-4332-ae9f-565a51e060aa · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Retentive Network: A Successor to Transformer for Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:11.583117Z

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Observation 4002f371-98c1-42ad-a503-05a0a3d207c5 · outbound

This paper cites Gated linear atten- tion transformers with hardware-efficient training,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Gated linear atten- tion transformers with hardware-efficient training,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:11.669844Z

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Observation 97543755-aa72-4848-8216-667d4eb6cda2 · outbound

This paper cites Linear transformers are secretly fast weight programmers,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Linear transformers are secretly fast weight programmers,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:11.763339Z

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Observation 0f4f63cb-5634-4f2c-9059-2b8852ea28f6 · outbound

This paper cites Adaptive switching circuits,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Adaptive switching circuits,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:11.859629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89921422-127d-466e-a755-21bce9b43d24 · outbound

This paper cites Parallelizing Linear Transformers with the Delta Rule over Sequence Length.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:11.959356Z

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Observation 013a6ae4-1c0e-4e7e-8ca5-024214193d35 · outbound

This paper cites Attention is all you need,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Attention is all you need,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:12.048303Z

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Observation b8b7b24f-8db3-4a81-9a2d-3eadd5cb40b1 · outbound

This paper cites Fla: A triton-based library for hardware- efficient implementations of linear attention mechanism,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Fla: A triton-based library for hardware- efficient implementations of linear attention mechanism,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:12.106717Z

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Observation a933b2b0-1aba-401a-8416-ff2c4e640bc2 · outbound

This paper cites Deep residual learning for image recognition,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Deep residual learning for image recognition,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:12.177680Z

Source-reported events for the cited work

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Observation d8b924cc-352d-4daa-a52e-202f74543e39 · outbound

This paper cites Carla: An open urban driving simulator,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Carla: An open urban driving simulator,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:12.275905Z

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Unavailable: canonical work link unavailable.

Observation f7806e76-30df-411e-88f0-9398be4c21ac · outbound

This paper cites Bench2drive: Towards multi-ability benchmarking of closed-loop end-to-end autonomous driving,.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Bench2drive: Towards multi-ability benchmarking of closed-loop end-to-end autonomous driving,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:12.349268Z

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Pith citing papers

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