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Paper Citation Record · LEDGER

DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2505.05360.

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

pith.paper-citation-record.v1
2505.05360 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:40:31.859535Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:47:25.612914Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4d6ef0eb-ffbf-41f5-95b6-42be61b7d0a9 · inbound

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning cites this paper.

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:46:44.155234Z

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=2026-05-14T21:46:43.955825Z digest=sha256:d9e67e64a4914390c19252bdfc2d30bcb76d9c69d25123bb699263f06760a7c6

Observation 1abb5977-ee8d-4807-bcab-6a8a0b4296ff · inbound

VLM-UDMC: VLM-Enhanced Unified Decision-Making and Motion Control for Urban Autonomous Driving cites this paper.

VLM-UDMC: VLM-Enhanced Unified Decision-Making and Motion Control for Urban Autonomous Driving DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T15:40:31.859535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:40:31.859535Z digest=sha256:00b146b5b5501861ac55013c240a1c482066653c2bccc522f4c347dc4a521ff2

Observation 43515634-ea26-4a54-85fb-392994f7d1f0 · inbound

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey cites this paper.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-04T19:19:25.575161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:19:25.575161Z digest=sha256:77371b48a95eba9e6c2d6aa889fb1db0dd6c30bfd3fda4d93c8a3aafb62ca899

Observation 67641a23-ef17-4e00-af1f-498cb406d968 · inbound

Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail cites this paper.

Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:35:13.226884Z

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=2026-05-18T02:35:13.126171Z digest=sha256:f657afeab15ceb09f9784eae9c88b43fcb99b07d52a85523750749b478280743

Observation 4bbc814d-8416-43f5-8c0a-d3f00d373516 · inbound

EvoDriveVLA: Evolving Driving VLA Models via Collaborative Perception-Planning Distillation cites this paper.

EvoDriveVLA: Evolving Driving VLA Models via Collaborative Perception-Planning Distillation DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:15:54.600618Z

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=2026-05-15T14:14:45.982490Z digest=sha256:9d9cd737e9be037abd11527f086b3afc7391a90475dced7f9d6d87a42e249303

Observation 52c15bfb-185f-46e6-b006-5bf7df13701c · inbound

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale cites this paper.

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:03:25.206712Z

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=2026-05-13T22:59:57.744015Z digest=sha256:f972a8767559965cf0b2c481233df64014a969d2d254f5c7946c61e207b3e62e

Observation deb9b0b1-b8c8-4ba4-a8cd-065ef1a119a9 · inbound

The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models cites this paper.

The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:15:50.080451Z

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=2026-05-10T20:04:46.144856Z digest=sha256:2703a17ce50dd0fb73a0c229da973881b653a515ad13afb1555311039badabba

Observation 4459ac02-62cf-4b09-b131-be0117d89dc8 · inbound

Decision-Making with Lightweight Confidence-Aware Language Model for Autonomous Driving cites this paper.

Decision-Making with Lightweight Confidence-Aware Language Model for Autonomous Driving DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:04:00.198583Z

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=2026-06-29T22:00:40.403204Z digest=sha256:11752bb866841f63d5078f57a39fbcd7b29cdff85a9251528f664d98ec36458f

Observation eb8f7b5c-5614-457c-8da5-0a67fe924c1c · inbound

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving cites this paper.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:47:25.614334Z

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=2026-06-27T18:40:24.800080Z digest=sha256:c64b4ac423de7262a7cdd529bb6aa897840ef4ea9410379be3bf55b580a7367b