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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 14 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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.026267Z digest=sha256:d75f4bb91291718e1b57ac6a3e2aecfae3f09b1b06f95a4c0765ab71ac9b98bb

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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no resolver link, observed 2026-08-05T23:26:44.029716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:44.029716Z digest=sha256:3cb673d539b7fda1898f889db07df622a997aeb8411ef79b236016e40c8a9dc6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.032984Z digest=sha256:3470371989adffc5f3e600680775b8bd3b48ae60fdbf720726046c33c73b406f

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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no resolver link, observed 2026-08-05T23:26:44.035972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:44.035972Z digest=sha256:d638d786889b7ee2166f0c2bc717ab7466a45f0a51d85a827aad3f42cabedb6c

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:d2dbaca435056d056387fc4abf96b9a6cdbfc42540b568eafc9e66efe87a0a1c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.042921Z digest=sha256:3f5994df631a7acf895c5151f1bb05276a2f18678e621939501a4294c12683ab

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.046056Z digest=sha256:8a23587c06511b32740f0acb180878161590800ff62c8b1666be3d1b572334cd

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.048999Z digest=sha256:990787b21b9fdb3fadbe08e8c9c9a04d42fc94b4dcd30c4a6f237cb6ca5d0a1c

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
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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.051779Z digest=sha256:1e2ffb482327c7c74aaf3512e3124502fc74cfcc36ef9119b8c1907d5d93574b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.054427Z digest=sha256:f954a07d1829378d1a945b1282ae11510b4d137339f65844404d7cb9d7fcdf97

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.056964Z digest=sha256:e349d5be6bb730b2e5272c9318f84196f218641a58daa5d60d5719ae08ef9b92

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.059857Z digest=sha256:5bda73efa42422712157c45fdd9e46801f4bf45eb5cb004ec5d370795f7efb62

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.062627Z digest=sha256:59c24f9f425dfbecd60209b9f04bfc146277529a2e34c5181d6f663879b8795b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.065640Z digest=sha256:460a5617e0f8a468835bf8b4b73db2c72b3835af0b382bd986e4466090569e15

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.068420Z digest=sha256:2cb59d49b52b62c73c96de3a5a18313adda92e7d01289b9c575d249e999ca099

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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.071876Z digest=sha256:c247921739d5b4e85b0a6230ce96988ea81ac90c6a6d7a15dde8a260b9bb15f8

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.075483Z digest=sha256:1c80c2843ad30d9696b192c1f0c4420680e5819e92fb98e5bdb3f1415993e907

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

Resolution
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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.078264Z digest=sha256:e132a340332c9ee82d6e226987da7554985a22e6adc6efd891e4b6a4c00c7af3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.081194Z digest=sha256:280d821c4aafc746e0ff5dabdcd3ba363d3874a95dd546f73aba9eede4569367

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

Resolution
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.083719Z digest=sha256:fc0c8a7a369f253b613aede0613f08dc10e333131c91da375ce2c798b4447199

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

Resolution
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.086243Z digest=sha256:ea809626897e9c781ae3b0ad355ff0fc6a19db94c0a79cb29530af205c67c1ce

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.088965Z digest=sha256:52b595cfc88a7f55059ec1629fb688deb218a6bd1fc8909a05871d0149242087

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

Resolution
unresolved
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:b9ff185649fa95ce82fd328d599b5100e4a96b597bc1f9eda264948406930cfc

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.094811Z digest=sha256:b1398a4fd7a65b69089a5a03cc2be92b0e9836c46af6cc0ffebb2ebdbe5bd74b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.214833Z digest=sha256:1211ec60a6bad4cc3f057d9fc5392ca1e0b79da8250139d735825b543c8bbe89

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:e58715122503c042d02e1bb7505cfd40b0382a39f453d4ade7187b62b46b7014

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.222638Z digest=sha256:39365a954ec1f03e6bb0a568a2dcccd198ced0d00e1db88647adabe0f6cc7de2

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=sha256:5ca12f79a85daa30f17afa1cea1c23e113947465b7b58a779d1826b719ae1d35

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:d604577e47fab0f3122c49b74c97a1bf0188b931307d43324f7c7665c01bcacf

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.232934Z digest=sha256:cf0bfd4f3d9239ba7060671efb9387e460fadf7d316ab2195e368bdbced02af6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.236079Z digest=sha256:15d7448dc32ea3d619c1c652e608f7ccd6f730eb5634d874db970f36fab9f8fa

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

Resolution
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=sha256:06c2d3d5d3f53b32a266cb56cb30f2d9ed7bfa36ab328546d0420748ad189e74

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.242419Z digest=sha256:172f8c47bb3f5eb677f38a13a6c4b77f94a06a5c3409bfe802eb3f7e970990cf

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.245457Z digest=sha256:b3f792ecdc4a4c61e9ec7c2f2b52ba13df147664c99f265f523922c729ae56d0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.248474Z digest=sha256:9b4398ab5123b83a9f2a9f069f07f3d24cc4008b968be1cac2c584875c742f54

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:ac6cf305c6804dd821acbc06e7b516d21f76d21803503232362207b85fee41d2

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.254631Z digest=sha256:fb7a534563cc7333fc7a406a35b0f47d87fd4adfeb95153df2bbc0da57925d24

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.257677Z digest=sha256:be32df58b8fabcb766067ca7d64b522c005279ce9ff2c9dbe27bfbed7e35172b

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=sha256:85aa26c87369a4e93cc27e9ca7a76c9eb80615d3be55fc6f5616e518710860a2

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.263396Z digest=sha256:ed7aa545f7607423be1e439ca489d2685048f2e23ee0358dd965123ae6bc38ff

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:db2d2c05793d8d66e9fc03802df72f703ddfda5e37b20a04474b8457ba0237dd

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.269511Z digest=sha256:e6c53e207a8e49c0176a13d76dbcd9ffc838dfb34c12d64ad89cbedfbc4f24e2

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.272427Z digest=sha256:5b2a62f80b9950973c759d2338083bdce139f502c1a36d038b9407047c431712

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.275272Z digest=sha256:6727c45f48caa33907e87f7c7f462004b2376fedcc6afb319f808414cbbabca1

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:ad3d63d17e176da74899cf61c0b0d54340c75b0639a5eda274d42e0bba327be6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.281433Z digest=sha256:5b550ee2e6e9239e72b4fb2f8daba3ac1b68402acd037c71c0f28845a2b4703c

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=sha256:994ff4ba43d6c5494ad6bb2f9eb69a380cd6e66ba0c04a812fac253bb23de83b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.287581Z digest=sha256:e9dda647bb5937f75f0e07b520c122c476e79e16de37c2fcb445c36f6133ce81

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.291410Z digest=sha256:19ee3dd1aebbbc6e9ffc2e65e47cbcca51170e568364fe80165cf0360e2e8626

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T23:26:44.295913Z digest=sha256:44eb65e1ce299e6d1bd865cca4a132471dcc5479abfc11eef0aac3536450f2d7

Pith citing papers

No inbound Pith citation observations are available.