Paper Citation Record · LEDGER

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning

As of 9 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 2 inbound Pith citation observations for arXiv:2509.03462.

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

pith.paper-citation-record.v1
2509.03462 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:58:21.189260Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:58:19.571534Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T10:58:21.352282Z

Reference resolution

18 of 18 outbound references displayed

verified exact1
verified fuzzy14
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44d6622c-37ad-4070-b344-454b4bd8caef · outbound

This paper cites sam-llm: interpretable lane change trajectoryprediction via parametric finetuning.

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning sam-llm: interpretable lane change trajectoryprediction via parametric finetuning

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:58:21.481958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fcbbdcc2-1609-4133-9395-969f79c00925 · outbound

This paper cites an unresolved cited work.

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-05T10:58:27.593690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7c85b4c2-5973-4e2d-8933-e0cfbebb87d7 · outbound

This paper cites an unresolved cited work.

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-05T10:58:27.133557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8177295a-d14c-4342-9088-2a198ee3a24b · outbound

This paper cites an unresolved cited work.

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T10:58:26.788563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff8781f9-abbf-4ba3-ba6c-02c772851613 · outbound

This paper cites Surrounding vehicles’ lane change maneuver prediction and detection for intelligent vehicles: A comprehensive review,.

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning Surrounding vehicles’ lane change maneuver prediction and detection for intelligent vehicles: A comprehensive review,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:58:26.327901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fffc1372-46f3-4014-8396-1ab929d02fc8 · outbound

This paper cites Lane detection for au- tonomous driving: Comprehensive reviews, current challenges, and future predictions,.

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning Lane detection for au- tonomous driving: Comprehensive reviews, current challenges, and future predictions,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:58:25.937173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 30839724-4fbb-42cc-acf4-3424bd916b9b · outbound

This paper cites Intention-aware long horizon trajectory prediction of surrounding vehi- cles using dual lstm networks,.

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning Intention-aware long horizon trajectory prediction of surrounding vehi- cles using dual lstm networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:58:25.521608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 100a939c-aced-4d39-a119-10eabeec0a5e · outbound

This paper cites Re- current models for lane change prediction and situation assessment,.

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning Re- current models for lane change prediction and situation assessment,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:58:25.074096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e4afa754-a19d-4a00-a81a-618a6cead840 · outbound

This paper cites Early lane change prediction for automated driving systems using multi-task attention- based convolutional neural networks,.

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning Early lane change prediction for automated driving systems using multi-task attention- based convolutional neural networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:58:24.725044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2a15d435-b36b-47d7-be36-97e37a267bab · outbound

This paper cites Dual transformer based prediction for lane change intentions and trajectories in mixed traffic environment,.

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning Dual transformer based prediction for lane change intentions and trajectories in mixed traffic environment,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:58:24.368770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ca02f28c-bd1a-49ad-91bf-738fef32b31d · outbound

This paper cites Lc-llm: Explainable lane-change intention and trajectory predic- tions with large language models,.

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning Lc-llm: Explainable lane-change intention and trajectory predic- tions with large language models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:58:24.000168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5807e895-3bf9-4fc5-b4e6-2e62a258742f · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning Chain-of-thought prompting elicits reasoning in large language models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:58:23.670596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3f193d0a-3d58-4620-9145-b5a75bfdecba · outbound

This paper cites Traj-llm: A new explo- ration for empowering trajectory prediction with pre- trained large language models,.

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning Traj-llm: A new explo- ration for empowering trajectory prediction with pre- trained large language models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:58:23.299500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0bfe3d6f-4de0-469d-a80c-53d51a100300 · outbound

This paper cites Collision avoidance analysis for lane chang- ing and merging,.

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning Collision avoidance analysis for lane chang- ing and merging,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:58:22.944102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation afa2a56c-39b9-4546-896e-6764fb74fcc5 · outbound

This paper cites The driving safety field based on driver–vehicle–road interactions,.

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning The driving safety field based on driver–vehicle–road interactions,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:58:22.615002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7ae8f811-509c-4a64-8ab9-dee426785328 · outbound

This paper cites The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems,.

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:58:22.333972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e6b7d4a4-5078-426f-957a-1f3cbc22eebb · outbound

This paper cites Empirics and models of fragmented lane changes,.

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning Empirics and models of fragmented lane changes,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:58:22.034999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9922c606-e2bb-4f64-9505-09f9df67ffad · outbound

This paper cites Lora: Low-rank adaptation of large lan- guage models.,.

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning Lora: Low-rank adaptation of large lan- guage models.,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:58:21.795352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 44d6622c-37ad-4070-b344-454b4bd8caef · inbound