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Paper Citation Record · LEDGER

Planning-aligned Token Compression for Long-Context Autonomous Driving

As of 22 July 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2606.07464.

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

pith.paper-citation-record.v1
2606.07464 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T21:35:36.176810Z

measured 41 of 41 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-07-22T06:31:00.163083+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.

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 3c50b116-ac44-45a0-aaba-08f6e0270904 · outbound

This paper cites Alpamayo-r1: Bridging reasoning and action prediction for generalizable autonomous driving in the long tail,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Alpamayo-r1: Bridging reasoning and action prediction for generalizable autonomous driving in the long tail,

Reference 1

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Observation c493144b-befa-491c-b0df-8e7929e5a385 · outbound

This paper cites Planning-oriented autonomous driving,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Planning-oriented autonomous driving,

Reference 2

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Observation d9c9e867-b424-4c8b-9a0f-aee34e9d34d5 · outbound

This paper cites Para-drive: Parallelized architecture for real-time autonomous driving,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Para-drive: Parallelized architecture for real-time autonomous driving,

Reference 3

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Observation f18f2979-eca1-4d24-8272-9e77ca74c745 · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Mamba: Linear-time sequence modeling with selective state spaces,

Reference 4

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Observation 9cb32755-ca34-448b-8715-c54d4f58d763 · outbound

This paper cites Memoryvla: Perceptual-cognitive memory in vision-language-action models for robotic manipulation,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Memoryvla: Perceptual-cognitive memory in vision-language-action models for robotic manipulation,

Reference 5

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Observation e68850cc-5370-4bf5-8a3a-5d8bf7322e35 · outbound

This paper cites Autonomous driving at unsignalized in- tersections: A review of decision-making challenges and reinforcement learning-based solutions,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Autonomous driving at unsignalized in- tersections: A review of decision-making challenges and reinforcement learning-based solutions,

Reference 6

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Observation b6967ea4-1187-434f-bd8c-60c970510fdd · outbound

This paper cites Blip-2: Bootstrapping language-image pre- training with frozen image encoders and large language models,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Blip-2: Bootstrapping language-image pre- training with frozen image encoders and large language models,

Reference 7

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Observation 95a6f69e-1b51-441c-8aca-5778d15db159 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 8

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Observation aa08a42b-5387-45ad-8106-f90a0bc3b400 · outbound

This paper cites π0.5: a vision- language-action model with open-world generalization,.

Planning-aligned Token Compression for Long-Context Autonomous Driving π0.5: a vision- language-action model with open-world generalization,

Reference 9

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Observation 6541db14-ac31-40b2-a670-4a6577a78755 · outbound

This paper cites Adaptdiffuser: diffusion models as adaptive self-evolving planners,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Adaptdiffuser: diffusion models as adaptive self-evolving planners,

Reference 10

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Observation e7f0aae5-3369-4874-ab1a-d477371e536b · outbound

This paper cites Discrete diffusion vla: Bringing discrete diffusion to action decoding in vision-language-action policies,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Discrete diffusion vla: Bringing discrete diffusion to action decoding in vision-language-action policies,

Reference 11

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Observation 76431620-9497-4ec1-ad21-a910b5311b09 · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

Planning-aligned Token Compression for Long-Context Autonomous Driving GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 12

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Observation 00b598bb-7691-46e8-be9e-256beec42a6e · outbound

This paper cites Skilldiffuser: Interpretable hierarchical planning via skill abstractions in diffusion-based task execution,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Skilldiffuser: Interpretable hierarchical planning via skill abstractions in diffusion-based task execution,

Reference 13

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Observation 5e7e8eb0-a240-4fd0-9404-8a50fcf28f25 · outbound

This paper cites Embodied navigation foundation model.

Planning-aligned Token Compression for Long-Context Autonomous Driving Embodied navigation foundation model

Reference 14

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Observation 034a9c96-e4e2-4886-abd8-c078612c5aff · outbound

This paper cites Uni-navid: A video-based vision-language-action model for unifying embodied navigation tasks,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Uni-navid: A video-based vision-language-action model for unifying embodied navigation tasks,

Reference 15

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Observation 7cec0ad9-98cd-43e7-b8dc-56911f353e54 · outbound

This paper cites Impromptu vla: Open weights and open data for driving vision-language-action models,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Impromptu vla: Open weights and open data for driving vision-language-action models,

Reference 16

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Observation ec8c6956-e01a-4c3e-acb3-423fe49512c6 · outbound

This paper cites dvlm-ad: Enhance diffusion vision-language- model for driving via controllable reasoning,.

Planning-aligned Token Compression for Long-Context Autonomous Driving dvlm-ad: Enhance diffusion vision-language- model for driving via controllable reasoning,

Reference 17

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Observation 881f1da2-efae-41d8-88a1-cffd09885f78 · outbound

This paper cites Probabilistic robotics,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Probabilistic robotics,

Reference 18

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Observation ec3f0184-2ad4-4474-a27f-0b32818c5273 · outbound

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

Planning-aligned Token Compression for Long-Context Autonomous Driving Dream to control: Learning behaviors by latent imagination,

Reference 19

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Observation 90c83433-0c33-4f78-b92d-07c43ffc9f7f · outbound

This paper cites Planning and acting in partially observable stochastic domains,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Planning and acting in partially observable stochastic domains,

Reference 20

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Observation c0393b63-0714-4af3-881e-512173794ce6 · outbound

This paper cites Palm-e: an embodied multimodal language model,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Palm-e: an embodied multimodal language model,

Reference 21

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Observation f7f0fba1-0d38-43a1-8f16-ac0ed106d3a5 · outbound

This paper cites Compressive transformers for long-range sequence modelling,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Compressive transformers for long-range sequence modelling,

Reference 22

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Observation 16126366-4314-4734-a25e-b2631e2554c8 · outbound

This paper cites Transformer-xl: Attentive language models beyond a fixed-length context,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Transformer-xl: Attentive language models beyond a fixed-length context,

Reference 23

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Observation 5c8d81f3-ea41-4142-926c-a33be4045653 · outbound

This paper cites Learning to (learn at test time): Rnns with expressive hidden states,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Learning to (learn at test time): Rnns with expressive hidden states,

Reference 24

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Observation 8709ad64-405c-40a6-bf83-61f268d56f4c · outbound

This paper cites Titans: Learning to Memorize at Test Time.

Planning-aligned Token Compression for Long-Context Autonomous Driving Titans: Learning to Memorize at Test Time

Reference 25

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Observation 9e76a3d9-b5a3-4491-8878-e5bcf7f1caab · outbound

This paper cites Token merging: Your vit but faster,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Token merging: Your vit but faster,

Reference 26

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Observation 1e5c1323-ca00-4e25-9a8d-2c5ad8a0e67b · outbound

This paper cites Efficient streaming language models with attention sinks,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Efficient streaming language models with attention sinks,

Reference 27

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Observation 03d91f91-6b4b-4e71-a88b-9c0b6e0a3421 · outbound

This paper cites Longformer: The Long-Document Transformer.

Planning-aligned Token Compression for Long-Context Autonomous Driving Longformer: The Long-Document Transformer

Reference 28

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Observation 66cc10c1-8497-4bad-9d84-da2e7d66e932 · outbound

This paper cites Big bird: Transformers for longer sequences,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Big bird: Transformers for longer sequences,

Reference 29

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Observation 3f8620cf-f332-4cc8-84ce-dd89e1b68b40 · outbound

This paper cites Hymba: A hybrid-head architecture for small language models,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Hymba: A hybrid-head architecture for small language models,

Reference 30

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Observation cf70c918-7e3b-4b7c-8229-ddf0ee839c10 · outbound

This paper cites Hint-ad: Holistically aligned interpretability in end-to-end autonomous driving,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Hint-ad: Holistically aligned interpretability in end-to-end autonomous driving,

Reference 31

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Observation 8d6069fa-154a-4662-a121-4c9d16bfd35b · outbound

This paper cites Dinov2: Learning robust visual features without supervision,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Dinov2: Learning robust visual features without supervision,

Reference 32

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Observation 8ce81ac1-78e7-4116-b8c6-1a10572b253f · outbound

This paper cites Finite scalar quantization: Vq-vae made simple,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Finite scalar quantization: Vq-vae made simple,

Reference 33

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Observation 0b080d98-7782-4108-96cf-5a2c26e4702d · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Scaling rectified flow transformers for high-resolution image synthesis,

Reference 34

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Observation c592c235-0284-4520-939c-c77a3564eba1 · outbound

This paper cites Roformer: En- hanced transformer with rotary position embedding,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Roformer: En- hanced transformer with rotary position embedding,

Reference 35

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Observation d103eb76-a6cd-4996-ad30-3eb64c850e11 · outbound

This paper cites Tikhonov regularization and total least squares,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Tikhonov regularization and total least squares,

Reference 36

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Observation 4a6fbc9d-7177-4741-a67d-c7763d62b84b · outbound

This paper cites Neural discrete representation learning,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Neural discrete representation learning,

Reference 37

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Observation df5e863e-448e-4422-bc48-4d227095e332 · outbound

This paper cites You’ll never walk alone: Modeling social behavior for multi-target tracking,.

Planning-aligned Token Compression for Long-Context Autonomous Driving You’ll never walk alone: Modeling social behavior for multi-target tracking,

Reference 38

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unresolved
no resolver link, observed 2026-06-27T21:35:36.176810Z

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source=pdf_text observed=2026-06-27T21:35:36.176810Z digest=sha256:1426dd202db30c6a304762705da89c427dbf57efce099b7b6e4de2f51917ae6d

Observation 5b46784e-7fba-470a-ac66-efd0fb22d4a5 · outbound

This paper cites What Matters to Enhance Traffic Rule Compliance of Imitation Learning for End-to-End Autonomous Driving.

Planning-aligned Token Compression for Long-Context Autonomous Driving What Matters to Enhance Traffic Rule Compliance of Imitation Learning for End-to-End Autonomous Driving

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:17:18.326781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-06-27T21:35:36.176810Z digest=sha256:d6aa3904ebd19a5246ee8c8749d227bc302bba77abb0bd072af1482ce4c6792d

Observation 2b288007-3321-4fdc-a88f-78e9d2ea0154 · outbound

This paper cites Physicalai autonomous vehicles dataset,.

Planning-aligned Token Compression for Long-Context Autonomous Driving Physicalai autonomous vehicles dataset,

Reference 40

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unresolved
no resolver link, observed 2026-06-27T21:35:36.176810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:35:36.176810Z digest=sha256:131366b005c7950177fb47ff9f58d4503dd55f930aed3afd7a00dac475553e06

Observation 23a43c35-41aa-4455-b7e4-e1043484b019 · outbound

This paper cites AlpaSim: A modular, lightweight, and data-driven research simulator for autonomous driving,.

Planning-aligned Token Compression for Long-Context Autonomous Driving AlpaSim: A modular, lightweight, and data-driven research simulator for autonomous driving,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-06-27T21:35:36.176810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:35:36.176810Z digest=sha256:30411f84022196e6846745d7f8e097f1febb82825064e76901e9cde22f164e85

Pith citing papers

No inbound Pith citation observations are available.