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Paper Citation Record · LEDGER

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model

As of 8 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2508.05402.

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

pith.paper-citation-record.v1
2508.05402 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:26:44.295913Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

50 of 50 outbound references displayed

  • verified exact1
  • verified fuzzy32
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d68333c-1690-42f3-b9c2-95eafbcb703d · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model nuscenes: A multi- modal dataset for autonomous driving

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.865520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.026267Z digest=sha256:cd11b1e19af207a850b75d10389902d2eb23e5e6ad10aab75c875bd8a9db6965

Observation 9707cfae-8d68-4df9-8ef3-b45a123742a1 · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:44.029716Z digest=sha256:37e17949620be50e59a040fd47b97ba6d1d1ae9dd649e608a22b1b67378713b0

Observation 6ae2aea0-66e5-4bc0-bb79-0acbee84d9a7 · outbound

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

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model End-to-end autonomous driving: Challenges and frontiers

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.856394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.032984Z digest=sha256:6dc168d2335aab1954279bfaa51163c680f00ae9adb4420619286b55bac408de

Observation 61ef102b-8135-426e-99be-13941614b3c1 · outbound

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

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:44.035972Z digest=sha256:62f89c18f0d87c956e314293cecd1a4391efdc85076d1d7aee5746233ea6b573

Observation 645a0622-a9d9-4d84-b080-8706ab3a34be · outbound

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

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving

Reference 5

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no resolver link, observed 2026-08-05T23:26:44.039223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:44.039223Z digest=sha256:769972852fed8a73032e6dd3ccd114e3fb1726bb26503a772a0998d02d18fc15

Observation 95115829-36bb-4d55-8734-192da58d624c · outbound

This paper cites Transfuser: Imitation with transformer-based sensor fusion for autonomous driv- ing.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Transfuser: Imitation with transformer-based sensor fusion for autonomous driv- ing

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.848128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.042921Z digest=sha256:07f2b6e354b8392eee973bff205f0387b347d6e5281ff069576e36bde6a61b4a

Observation d0e1bb1c-f23e-41f5-937a-d874f6f1772a · outbound

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

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking

Reference 7

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raw_fallback, observed 2026-08-05T23:26:44.839163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.046056Z digest=sha256:d590f9a6e2f30d59388f698a666dbe639e2d3474d7c8d1949df47c5181628b62

Observation f43b72aa-46fa-4d81-8881-548234be5c89 · outbound

This paper cites Carla: An open urban driving simulator.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Carla: An open urban driving simulator

Reference 8

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raw_fallback, observed 2026-08-05T23:26:44.830787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.048999Z digest=sha256:406cf2056147a2e22d5b24fbf87f928916574de93548992b8ccd0f7a7dd4047c

Observation 84778317-09ec-49e6-aac3-1e4db9ffde8a · outbound

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

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model On the road to portability: Compressing end- to-end motion planner for autonomous driving

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.822274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.051779Z digest=sha256:bc251cb9827a0238f456439727ba8f12d0894e966251bd3ff91956b581655cdd

Observation 59f72178-3f29-4686-b2de-b43ee2030d33 · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 10

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raw_fallback, observed 2026-08-05T23:26:44.812606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.054427Z digest=sha256:d3429bc755515c630d12267686ba1746fdca84bbb9a37d15c962c61b8a9c6b7a

Observation 1756ff5c-b0c0-4cee-a9bd-e056d46cfa0d · outbound

This paper cites One-for-all: Bridge the gap between heterogeneous architectures in knowledge distilla- tion.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model One-for-all: Bridge the gap between heterogeneous architectures in knowledge distilla- tion

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.803390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.056964Z digest=sha256:1f6333aeb60f7d5eec0ae41376ec2aeabaaeaf69eef11d23fca7bbc5fc957437

Observation cf7e0ed8-fe27-45c9-ab8f-9ef11a5268d2 · outbound

This paper cites Model-based imitation learning for urban driving.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Model-based imitation learning for urban driving

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.794913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.059857Z digest=sha256:4936a48138bbf7672027feae48e72a7dad8df2711c483bc7c9a6fda8f91bcde1

Observation 65e36864-7fd8-431f-b21d-55df2940b439 · outbound

This paper cites Safe local motion planning with self- supervised freespace forecasting.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Safe local motion planning with self- supervised freespace forecasting

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.784858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.062627Z digest=sha256:0cd32dc278213f6de3ef013aec07d68f7beb76f0419738d861a789ab32c4393c

Observation 21b3c2ed-e94c-4674-aa00-20d110867a01 · outbound

This paper cites St-p3: End-to-end vision-based au- tonomous driving via spatial-temporal feature learning.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model St-p3: End-to-end vision-based au- tonomous driving via spatial-temporal feature learning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.776229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.065640Z digest=sha256:1db3c245ea168546a083a6e633a6b7ef416c368820a857382e180c8810d04e45

Observation d0d45a88-e9a7-434f-85e5-b2712119d096 · outbound

This paper cites Planning-oriented autonomous driving.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Planning-oriented autonomous driving

Reference 15

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raw_fallback, observed 2026-08-05T23:26:44.767858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.068420Z digest=sha256:a012d82f9f87f483fdc95dc4c8a457259a7d8c0aaa6aad41648c64c9305439db

Observation b5dd7703-73a7-478a-83dd-1440cdc237a0 · outbound

This paper cites Driving behavior modeling using naturalistic human driving data with inverse reinforcement learning.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Driving behavior modeling using naturalistic human driving data with inverse reinforcement learning

Reference 16

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raw_fallback, observed 2026-08-05T23:26:44.759365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.071876Z digest=sha256:1394b5c88feb6c1cfd2774aac0bd92c2248f3d2ea74c45d4425daf0b0ba54eca

Observation f593e1ff-4a1c-43da-8c47-bcca069af42f · outbound

This paper cites Con- ditional predictive behavior planning with inverse reinforce- ment learning for human-like autonomous driving.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Con- ditional predictive behavior planning with inverse reinforce- ment learning for human-like autonomous driving

Reference 17

Resolution
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raw_fallback, observed 2026-08-05T23:26:44.749913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.075483Z digest=sha256:54574ed272d130ac9bbdf07f98ad33a216acbf4c70bd28baa32004893487d103

Observation fb815b57-9708-4339-b24d-1fe2f4887c5d · outbound

This paper cites Imitation learning: A survey of learning methods.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Imitation learning: A survey of learning methods

Reference 18

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raw_fallback, observed 2026-08-05T23:26:44.740031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.078264Z digest=sha256:bff9a3ae5b45d594a789965c8c815be56f23abdd7f4e26999591070b3de609d3

Observation d630afd2-c8a8-4018-ab2a-590c632a8512 · outbound

This paper cites Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end autonomous driving.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end autonomous driving

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.730469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.081194Z digest=sha256:66d53b869f46491027beb6057c6ea1304fe2cd50c71e17262fe00155aff05332

Observation 23235019-8a8c-45fd-98be-a13edbd5566d · outbound

This paper cites Vad: Vectorized scene representa- tion for efficient autonomous driving.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Vad: Vectorized scene representa- tion for efficient autonomous driving

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.720121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.083719Z digest=sha256:fcfadc878c050680b5eb38f9812c8887348396293dc74c0c27360b96aed772fb

Observation 131eac51-787a-4841-b2f9-0da2fc284393 · outbound

This paper cites Learning to drive in a day.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Learning to drive in a day

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.709133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.086243Z digest=sha256:a3bfe802e59c1573e3bc1a75b3dd04ac0206634934b55fadee114de1413c2019

Observation 656f2f5b-cef6-4878-82fb-2c90275ae79b · outbound

This paper cites Differentiable raycasting for self-supervised occupancy forecasting.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Differentiable raycasting for self-supervised occupancy forecasting

Reference 22

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raw_fallback, observed 2026-08-05T23:26:44.699744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.088965Z digest=sha256:c2ce8eaffdf5ae4e392027bfe61258af6a2414182b6af8c6f347e0e32f20ad69

Observation f0e9b0d6-2afd-46ab-b874-22f7e13aeab1 · outbound

This paper cites The hungarian method for the assignment problem.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model The hungarian method for the assignment problem

Reference 23

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no resolver link, observed 2026-08-05T23:26:44.091542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:44.091542Z digest=sha256:e6c4d6d1679533e730b8a7fcdab90719633c50b2613f10823e023a320f6e34da

Observation 537fd50d-3465-4e04-884f-46d61faf9aa8 · outbound

This paper cites Conservative q-learning for offline reinforcement learning.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Conservative q-learning for offline reinforcement learning

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.681180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.094811Z digest=sha256:351f1a732358e64d16d9c9cc1427975f13ef2671eb8c2556647bba35c76c6bb3

Observation adadb96a-25b5-4043-89a1-79afdb62a66f · outbound

This paper cites Unimodal-driven Distillation in Multimodal Emotion Recognition with Dynamic Fusion.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Unimodal-driven Distillation in Multimodal Emotion Recognition with Dynamic Fusion

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:26:44.497119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.214833Z digest=sha256:c211108a18f1d46926afda4997f9a196bad09bb299c77cb74145e6ad40ed2a4a

Observation a9388b6b-b621-4428-8725-f28778328534 · outbound

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

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T23:26:44.218819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:44.218819Z digest=sha256:dc5d140b95ca6436d108bcc4b91221c7779a0571784933bca6e802878c4e7289

Observation 18ac1e7a-2adc-4ccc-b3d2-f3830745aa3a · outbound

This paper cites an unresolved cited work.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Unresolved cited work

Reference 27

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unresolved
raw_fallback, observed 2026-08-05T23:26:44.672693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.222638Z digest=sha256:1f6f26027ef22ba6c9fc697436be5d6600e0a768371203f4971a5867dbd07155

Observation d3ed15ac-2cde-4d4d-90c2-037ec1c684ee · outbound

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

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T23:26:44.226568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:44.226568Z digest=sha256:4111969ee65fbe92cc6c45c124ef1b3d67ed1868608350eadeb59451c0470484

Observation 4ed98399-edad-4706-bfcf-982c23df6aba · outbound

This paper cites Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T23:26:44.230034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:44.230034Z digest=sha256:31799000cfe0078a0ba1f400a132a8af44c5b36680e7e8b6a5d2444b9b413400

Observation 62af4c0d-437b-44e9-88a2-2dd8344e3597 · outbound

This paper cites Ca-w3d: Leveraging context-aware knowledge for weakly supervised monocular 3d detection.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Ca-w3d: Leveraging context-aware knowledge for weakly supervised monocular 3d detection

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.664356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.232934Z digest=sha256:98f197a1e3dae72472c2547dbc55314c4c57e4aeecfbae260f3a5f337119475e

Observation a85eaa0a-26fa-4b51-abef-10a11c7eae81 · outbound

This paper cites Imitation is not enough: Robustifying imitation with reinforcement learning for challenging driving scenarios.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Imitation is not enough: Robustifying imitation with reinforcement learning for challenging driving scenarios

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.654398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.236079Z digest=sha256:f828af5e983ebbe1f7f58361b706b416b97ea3cadaa65170934f71f08faecbd8

Observation de1e66c3-a3dc-44a8-86b7-9d884bf27eac · outbound

This paper cites MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks

Reference 32

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unresolved
no resolver link, observed 2026-08-05T23:26:44.239102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:44.239102Z digest=sha256:a505c7f32f80d5f74da43e8b4b360e20fdd82c82896278c516fc38489197b4ee

Observation 0a383067-1f5f-487f-9d0c-fb048e5ece01 · outbound

This paper cites Human-level control through deep reinforcement learn- ing.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Human-level control through deep reinforcement learn- ing

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.645179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.242419Z digest=sha256:c6e058b053b72110e69c639eadc9da352a57e3a3da1abd1ea64201087fa37d39

Observation 1cd2b259-0225-4539-8740-b2bcbf834d87 · outbound

This paper cites Asynchronous methods for deep reinforcement learning.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Asynchronous methods for deep reinforcement learning

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.636293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.245457Z digest=sha256:123f5fdc9641eff8f2f76ac3f44f039214f57bbc1cca0727ad0e8215f51df594

Observation 83a0cc2f-8069-43ec-98fa-a12e2110ebb8 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.628151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.248474Z digest=sha256:9aa8014450c95cdb01a8f84f78100968497df046ae32c4267693ad691dc822c3

Observation 1fea9565-6614-450e-b6dd-ae7b3e35de25 · outbound

This paper cites SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T23:26:44.251572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:44.251572Z digest=sha256:155cb51f16ce03a8dc3dfcabe3eddfdd21a63b4d84e382a8382df5862d8ad0eb

Observation 601de167-0625-4557-b977-a74bb94c2a33 · outbound

This paper cites Motion planning for autonomous driv- ing: The state of the art and future perspectives.IEEE Trans- actions on Intelligent Vehicles, 8(6):3692–3711, 2023.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Motion planning for autonomous driv- ing: The state of the art and future perspectives.IEEE Trans- actions on Intelligent Vehicles, 8(6):3692–3711, 2023

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.618516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.254631Z digest=sha256:47ae6acd7a6a5c19d04a282e53cb3c1a19196f4a05da7fe860242a5b2a699aa6

Observation b5ade291-3072-4b70-9065-52986776eecc · outbound

This paper cites A reinforcement learning based approach for automated lane change maneuvers.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model A reinforcement learning based approach for automated lane change maneuvers

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.609217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.257677Z digest=sha256:55597d24a4175a72d5f8c794728354f4bb8271ded2c471f521af534d6cf5852d

Observation 7fea0550-0fda-43ce-af98-04f5ab4d8a7c · outbound

This paper cites Unleashing the po- tential of mamba: Boosting a lidar 3d sparse detector by using cross-model knowledge distillation.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Unleashing the po- tential of mamba: Boosting a lidar 3d sparse detector by using cross-model knowledge distillation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T23:26:44.260549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:44.260549Z digest=sha256:90a33f85be40316b27e7d53e281f6e6270624e60ac1861ab970b4e031ceb87d9

Observation 1873288b-416b-4eb2-b9d1-f2d259e26f37 · outbound

This paper cites Future does matter: Boosting 3d ob- ject detection with temporal motion estimation in point cloud sequences.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Future does matter: Boosting 3d ob- ject detection with temporal motion estimation in point cloud sequences

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.599533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.263396Z digest=sha256:82e1830944de953f45ae27529bf772523c0877f0e383805fab561151bda7edf9

Observation 57131dbc-8d35-439f-af62-5d2ebd16560c · outbound

This paper cites Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T23:26:44.266337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:44.266337Z digest=sha256:55603197df56a405d42ce6fb358fe4fb4d6ec0b77e0870913c7c4321882e4db2

Observation d853d8e7-9220-4266-bbd0-cf624d3e2169 · outbound

This paper cites End-to-end urban driving by imitat- ing a reinforcement learning coach.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model End-to-end urban driving by imitat- ing a reinforcement learning coach

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.589408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.269511Z digest=sha256:6074a3200dc6e8b1f4317873071f81db39c543dd26deba99e4f8e8ed7d6b577d

Observation 45a89977-c937-4543-a637-47c8ab366e53 · outbound

This paper cites Lanecmkt: Boosting monocular 3d lane detection with cross-modal knowledge transfer.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Lanecmkt: Boosting monocular 3d lane detection with cross-modal knowledge transfer

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.579761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.272427Z digest=sha256:a6706aefbb42046b0a1c8424e9d92393c0f8e1640d0b318111953dc87c25d94f

Observation 70621e4c-e27e-4df8-87ed-c7f37c727cc5 · outbound

This paper cites Genad: Generative end-to-end au- tonomous driving.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Genad: Generative end-to-end au- tonomous driving

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.570529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.275272Z digest=sha256:38d6c582b921afa7b8f7fddf547b1772e96cf30ffebf09e7bb50a6a112650ab4

Observation 163410be-3217-425b-9247-20d4692aff42 · outbound

This paper cites Diffusion-Based Planning for Autonomous Driving with Flexible Guidance.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Diffusion-Based Planning for Autonomous Driving with Flexible Guidance

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T23:26:44.278208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:44.278208Z digest=sha256:ace147fc5b050716a23ef4db8993c374cae48f7d3a32a2e102a9b065d7494fec

Observation cf775271-fc1f-4f31-942d-6e74e014279f · outbound

This paper cites Knowledge distillation by on-the-fly native ensemble.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Knowledge distillation by on-the-fly native ensemble

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:26:44.560694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.281433Z digest=sha256:56126d43562502b74da7620a7def7f81e33115e2fde5b912a9b8eb2c2a3c6e02

Observation def112a8-7dfc-4e17-9433-2c44ead7f8eb · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T23:26:44.284473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:44.284473Z digest=sha256:842d37c1c62f823bad5b433bcc7aef44048e6a8368053f77c6d7df59d1bb729c

Observation 65b513a8-e9d2-49a8-9a82-832721afe87d · outbound

This paper cites an unresolved cited work.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:26:44.550993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.287581Z digest=sha256:de8876a974ff222b3778119d4438b9c6a75af9a2f76ad1f440dfa3a53da0fb66

Observation a7d3b356-6375-4212-b7c2-72e86cf2fd03 · outbound

This paper cites an unresolved cited work.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:26:44.542069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.291410Z digest=sha256:5c15ddfa9466020816d48a2a99398065e0459d7dc98c16bd16d98f48c3fa8cf3

Observation ca8752e1-22cc-431a-97cf-cc8d79035196 · outbound

This paper cites an unresolved cited work.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:26:44.532615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:26:44.295913Z digest=sha256:c5dfe3bb50d66bde6e4917617c6f99bb6ba1fa7b48acd9263ecff99ec776a1a3

Pith citing papers

No inbound Pith citation observations are available.