Paper Citation Record · LEDGER

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner

As of 20 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2412.18086.

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

pith.paper-citation-record.v1
2412.18086 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:06:16.554760Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

52 of 52 outbound references displayed

verified exact0
verified fuzzy8
unresolved43
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8cb3ab6a-fca9-41d8-954b-87ec79bc2c82 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner , " * write output.state after.block = add.period write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab6f8648-59c0-45c6-87dc-f70c696d4bab · outbound

This paper cites write newline.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T05:06:15.504751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67a99219-1fb5-4334-a9c2-ab48c8fea5b8 · outbound

This paper cites GPT-4 Technical Report.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner GPT-4 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T05:06:15.554758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f786546-1fab-4890-afc2-30cf8d7391dd · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:18.254285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6280a0d2-369a-4d56-b141-698158849eae · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:18.235963Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation efc033c2-175f-45d4-8764-28eb4edcb248 · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:18.216322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dda5670a-590d-49dd-a3fd-cb65a3fe82e1 · outbound

This paper cites TRECVID 2019: An Evaluation Campaign to Benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & Retrieval.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner TRECVID 2019: An Evaluation Campaign to Benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & Retrieval

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T05:06:16.987714Z

Source-reported events for the cited work

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Observation 603ca4ad-3bd8-48de-8b80-3d63a74efc0a · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:18.202496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 041dc67e-9b34-427d-82f4-8f2ebfa9f10d · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:18.187692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0c7e3901-6d36-4985-9b36-29de59270189 · outbound

This paper cites H.; Vora, S.; Liong, V.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner H.; Vora, S.; Liong, V

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:18.157490Z

Source-reported events for the cited work

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Observation 82262fbf-c3d9-41a8-827d-801dbf27ff7a · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:18.112036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 01eb3003-48b9-4c79-b8dd-50018a993206 · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:18.081337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5aaac2cf-0b3b-46fe-bcd8-cc2e69e61707 · outbound

This paper cites Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T05:06:15.854754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0eb02f2-40d0-46d9-a264-994ec23e4b60 · outbound

This paper cites TARGET: Automated Scenario Generation from Traffic Rules for Testing Autonomous Vehicles via Validated LLM-Guided Knowledge Extraction.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner TARGET: Automated Scenario Generation from Traffic Rules for Testing Autonomous Vehicles via Validated LLM-Guided Knowledge Extraction

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T05:06:15.874829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a6c60a1-f374-43de-97b0-ebfa145c8d1a · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:18.052446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d94e31b-4a3c-4f5a-9ec3-dfaea5c7b8ba · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2eccfa8d-c5dd-4cb6-9cdf-46b6fce1d65e · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:18.008041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e8643bbe-9073-4325-93b2-a3a9b1a63c9d · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:17.994135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 26dd2979-a1c4-4fa9-949f-e7e090b0faa2 · outbound

This paper cites J.; Dreossi, T.; Ghosh, S.; Yue, X.; Sangiovanni-Vincentelli, A.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner J.; Dreossi, T.; Ghosh, S.; Yue, X.; Sangiovanni-Vincentelli, A

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:17.982258Z

Source-reported events for the cited work

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Observation a22d1f57-c758-472e-a18a-4dd219a05a02 · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:17.969713Z

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Observation 6e05b2cf-b383-4a84-8c58-0c0dcd765ec8 · outbound

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Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:17.948775Z

Source-reported events for the cited work

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Observation 45dd6860-7014-42a6-8d76-27422f208e0f · outbound

This paper cites Automatic Generation of Scenarios for System-level Simulation-based Verification of Autonomous Driving Systems.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Automatic Generation of Scenarios for System-level Simulation-based Verification of Autonomous Driving Systems

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72eed1a7-734f-4f6a-a317-ded2fe211312 · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 23

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Observation ba03d4c6-f78f-45fe-a6fd-6f91e34af94e · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:17.912688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c0ce6a87-de51-482f-b198-feaa0836cdab · outbound

This paper cites E.; Schiegg, F.; and Z \"o llner, J.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner E.; Schiegg, F.; and Z \"o llner, J

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:17.898351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2f7c97d9-9d3e-4402-b028-8c9216d43c23 · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:17.878783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e02f7ad0-a5e6-4bdb-83bb-73ec5f575226 · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:17.861611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91c1dc26-12f8-4f42-88e7-07e854cefb67 · outbound

This paper cites G.; Alexiadis, V.; and Zhang PE, L.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner G.; Alexiadis, V.; and Zhang PE, L

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:17.838159Z

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Observation 1dc7ccd7-c1db-4c09-a19e-e37734f797ac · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 29

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Observation 55d44aaf-556d-405f-9586-1db26fd67c7d · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:17.722138Z

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Observation 7de94dcb-850b-4b42-91ab-e62bdc1ab491 · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:17.697836Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3bf88f70-47b8-4c8f-8ec4-191abb57cda6 · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:17.680074Z

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Observation f2d49de0-84cc-449c-ad73-dc12b9c0a1ea · outbound

This paper cites M.; Feng, L.; Liu, Z.; Duan, C.; Mo, W.; and Zhou, B.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner M.; Feng, L.; Liu, Z.; Duan, C.; Mo, W.; and Zhou, B

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:17.661145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 71187d2e-af30-4092-8930-19fcf9e50d38 · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:17.643227Z

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Observation 831938bb-b875-414a-9cc4-9411f70d2789 · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:17.626415Z

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Observation 09774412-34e4-429e-95ce-5a764c9c2234 · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 36

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Observation 1254a778-22cd-4ef7-9b1d-0e6365044a80 · outbound

This paper cites Language Models are Few-Shot Learners.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Language Models are Few-Shot Learners

Reference 37

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Source-reported events for the cited work

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This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Reference 38

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Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner T.; ; et al

Reference 39

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Observation f9bcac21-58be-4b96-9e42-6451f86eb6b4 · outbound

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Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:17.544699Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 41

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0debe625-62cc-4df7-acb5-f53d8eb22d07 · outbound

This paper cites C.; Mirje, M.; Bikkannavar, K.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner C.; Mirje, M.; Bikkannavar, K

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:17.424767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 326b3f3c-4f5b-4c18-8116-cc0516b2177c · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 43

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Observation ca36c992-c4ce-4959-92bf-408f00ead9b7 · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 44

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Observation b2880603-b679-408f-9f5c-5d33ee98960e · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 45

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 802ecce5-3aa2-4890-b4e2-0f59d0adc73e · outbound

This paper cites Do Prompt-Based Models Really Understand the Meaning of their Prompts?.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Do Prompt-Based Models Really Understand the Meaning of their Prompts?

Reference 46

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Source-reported events for the cited work

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Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86f1de92-1bbb-4fa5-ab28-4b985a626417 · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:17.175624Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ba4f96f6-d447-4075-9e77-926e127ffe13 · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:17.146930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4662c06-bdd9-4aea-bbec-0cb070264f64 · outbound

This paper cites J.; Luo, X.; and Wang, M.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner J.; Luo, X.; and Wang, M

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:06:17.106642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7d089bbc-f8b7-4c3e-baec-53503094270a · outbound

This paper cites an unresolved cited work.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:06:17.032376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1602ceae-c879-4047-ad33-da2cc42e697a · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner Automatic Chain of Thought Prompting in Large Language Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T05:06:16.554760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.