Paper Citation Record · LEDGER

Distilling Multi-modal Large Language Models for Autonomous Driving

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2501.09757.

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

pith.paper-citation-record.v1
2501.09757 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:17.041923Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:46:44.122568Z

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 2aaa7a36-aa98-470d-90fd-b3db918749d9 · inbound

ALN-P3: Unified Language Alignment for Perception, Prediction, and Planning in Autonomous Driving cites this paper.

ALN-P3: Unified Language Alignment for Perception, Prediction, and Planning in Autonomous Driving Distilling Multi-modal Large Language Models for Autonomous Driving

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:17.041923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fd11e92-ec2a-4679-824e-a31dbf01bc6c · inbound

CogAD: Cognitive-Hierarchy Guided End-to-End Autonomous Driving cites this paper.

CogAD: Cognitive-Hierarchy Guided End-to-End Autonomous Driving Distilling Multi-modal Large Language Models for Autonomous Driving

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:47:11.267031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c08fabf-7494-4e43-a8dc-5940e0bdb620 · inbound

RoCA: Robust Cross-Domain End-to-End Autonomous Driving cites this paper.

RoCA: Robust Cross-Domain End-to-End Autonomous Driving Distilling Multi-modal Large Language Models for Autonomous Driving

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:40:58.178662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4a8ecaa-11c3-4743-ad80-42df5d371335 · 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 Distilling Multi-modal Large Language Models for Autonomous Driving

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:46:44.125134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a90c5221-dfc2-42f2-9c20-51b77e29fbc6 · inbound

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs cites this paper.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Distilling Multi-modal Large Language Models for Autonomous Driving

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T20:43:13.874387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4c8cd31-f2d0-482c-ab21-0f27388bbf1f · inbound

AutoNeural: Co-Designing Vision-Language Models for NPU Inference cites this paper.

AutoNeural: Co-Designing Vision-Language Models for NPU Inference Distilling Multi-modal Large Language Models for Autonomous Driving

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T18:56:59.636047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc1d682d-1320-42a3-a4df-7efeb50a9e86 · inbound

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving cites this paper.

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Distilling Multi-modal Large Language Models for Autonomous Driving

Reference 100

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:31:26.200891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.