Paper Citation Record · LEDGER

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization

As of 8 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2507.02406.

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

pith.paper-citation-record.v1
2507.02406 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:34:37.356329Z

measured 34 of 34 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 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

34 of 34 outbound references displayed

verified exact0
verified fuzzy19
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9f032295-2da0-4ee7-ba86-59e750b79d51 · outbound

This paper cites Car Accident Statistics for 2025,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Car Accident Statistics for 2025,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.714000Z

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 9e3ece6a-2009-42bf-b9eb-582aa291c8b1 · outbound

This paper cites Scene transformer: A unified architecture for predicting future trajectories of multiple agents,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Scene transformer: A unified architecture for predicting future trajectories of multiple agents,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.702339Z

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 6186ff94-b981-4c99-ab00-44b6f294453b · outbound

This paper cites Scept: Scene-consistent, policy- based trajectory predictions for planning,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Scept: Scene-consistent, policy- based trajectory predictions for planning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.691938Z

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 d94a90ff-03a2-4c1d-bee0-c23a78536f98 · outbound

This paper cites GPT-4 Technical Report.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization GPT-4 Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T20:34:37.250261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe076bfc-c06e-4169-a924-401b741fb98d · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Gemini: A Family of Highly Capable Multimodal Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T20:34:37.254164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89e33476-5969-42e5-964c-25ae9d323be6 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:34:37.258211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8298fab9-54c7-4cee-b69e-0b72bad2ad9f · outbound

This paper cites Training language models to follow instructions with human feedback,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Training language models to follow instructions with human feedback,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:34:37.262440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64c9604e-c59a-4e3c-9013-ab0195de78b5 · outbound

This paper cites SimPO: Simple preference optimization with a reference-free reward,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization SimPO: Simple preference optimization with a reference-free reward,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.675201Z

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 b559d996-9317-49c9-9ad3-443f07693b8d · outbound

This paper cites Learning lane graph representations for motion forecasting,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Learning lane graph representations for motion forecasting,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.665036Z

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 c4d4e0ae-07ae-44ef-837d-6ae8932244b0 · outbound

This paper cites Motion transformer with global intention localization and local movement refinement,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Motion transformer with global intention localization and local movement refinement,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T20:34:37.272881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9da25449-a08d-4ff2-807e-1d4c2c8f2910 · outbound

This paper cites Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.647554Z

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 5c281b03-d86f-4a2d-b167-842fb246af1f · outbound

This paper cites Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T20:34:37.279330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75f9bac9-7e04-4a54-858e-81a3a1db5ce6 · outbound

This paper cites Wayformer: Motion forecasting via simple & efficient at- tention networks,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Wayformer: Motion forecasting via simple & efficient at- tention networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.630780Z

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 3180f2bd-8ee8-4326-97d7-192647893cad · outbound

This paper cites Query-centric trajectory prediction,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Query-centric trajectory prediction,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T20:34:37.286190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0845759-dc35-42e8-85ba-12017f00e02a · outbound

This paper cites EDA: Evolving and distinct anchors for multimodal motion prediction,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization EDA: Evolving and distinct anchors for multimodal motion prediction,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.613737Z

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 aeb6df44-02c6-41af-8ade-61a8a2b6698c · outbound

This paper cites End-to-end object detection with transformers,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization End-to-end object detection with transformers,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T20:34:37.293604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 456a6edd-c13f-4781-a92c-bf4a418efc80 · outbound

This paper cites FJMP: Factorized joint multi-agent motion prediction over learned directed acyclic interac- tion graphs,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization FJMP: Factorized joint multi-agent motion prediction over learned directed acyclic interac- tion graphs,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.597029Z

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 6b07adb8-dbe2-4643-8c02-45b8c6675b2a · outbound

This paper cites M2I: From factored marginal trajectory prediction to interactive prediction,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization M2I: From factored marginal trajectory prediction to interactive prediction,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.585927Z

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 1d9a1188-8f30-44c5-9927-54d5dd6348fd · outbound

This paper cites QCNeXt: A Next-Generation Framework For Joint Multi-Agent Trajectory Prediction.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization QCNeXt: A Next-Generation Framework For Joint Multi-Agent Trajectory Prediction

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T20:34:37.304363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02c6a872-10ce-485b-8fe7-37e5496f80a0 · outbound

This paper cites MTR++: Multi-agent motion prediction with symmetric scene modeling and guided intention query- ing,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization MTR++: Multi-agent motion prediction with symmetric scene modeling and guided intention query- ing,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.575444Z

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 08836405-2ed9-4288-88a8-6fefebb8d165 · outbound

This paper cites Reasoning multi-agent behavioral topology for interactive autonomous driving,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Reasoning multi-agent behavioral topology for interactive autonomous driving,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.563911Z

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 92313eed-c995-4af8-928e-2f7a98412948 · outbound

This paper cites INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T20:34:37.314511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2b757ce-b490-4e53-913e-20ab36705b92 · outbound

This paper cites Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.553379Z

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 a68207d5-ccbb-4b94-9a07-2ab2e7e8bd74 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Fine-Tuning Language Models from Human Preferences

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T20:34:37.321527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb0a9bdd-b99d-43c5-8f9d-704b5d010035 · outbound

This paper cites Rrhf: Rank responses to align language models with human feedback,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Rrhf: Rank responses to align language models with human feedback,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.542067Z

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 0e3f97c6-95de-43d9-b10c-35f2d3e87162 · outbound

This paper cites Model alignment as prospect theoretic optimization,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Model alignment as prospect theoretic optimization,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.530939Z

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 5f149147-6f7e-47da-8ffd-b88a38fd0128 · outbound

This paper cites A general theoretical paradigm to understand learning from human preferences,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization A general theoretical paradigm to understand learning from human preferences,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.519639Z

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 75cfad5b-8491-433a-a1af-4a7ef81d8a73 · outbound

This paper cites SLiC-HF: Sequence Likelihood Calibration with Human Feedback.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization SLiC-HF: Sequence Likelihood Calibration with Human Feedback

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T20:34:37.335053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cfa9f65-02c7-45e1-a3f6-596906f9f0d2 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Direct preference optimization: Your language model is secretly a reward model,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T20:34:37.338551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd8d1ace-152b-4132-8c66-5fd946c727e5 · outbound

This paper cites Rank analysis of incomplete block designs: I. the method of paired comparisons,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Rank analysis of incomplete block designs: I. the method of paired comparisons,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T20:34:37.342083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1b32dc7-bb2a-419c-ad1a-b4b7be935a4a · outbound

This paper cites The analysis of permutations,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization The analysis of permutations,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.494818Z

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 ab76c405-b03d-4d60-a67a-78f125fee5e1 · outbound

This paper cites an unresolved cited work.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:34:37.483274Z

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 c2cc91ae-9e24-4239-a876-50712cef5f5c · outbound

This paper cites MotionDiffuser: Controllable multi-agent motion prediction using dif- fusion,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization MotionDiffuser: Controllable multi-agent motion prediction using dif- fusion,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.472230Z

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 a313143f-3512-422c-9cfa-c9c7f55563bd · outbound

This paper cites Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting,.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:37.459889Z

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.

Pith citing papers

No inbound Pith citation observations are available.