Paper Citation Record · LEDGER

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving

As of 9 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2603.00919.

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

pith.paper-citation-record.v1
2603.00919 v3

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:00:16.978845Z

measured 47 of 47 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 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

47 of 47 outbound references displayed

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verified fuzzy0
unresolved47
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c01e03a0-58c1-4b39-8781-20532db4781d · outbound

This paper cites The role of the hercules autonomous vehicle during the covid-19 pandemic: An autonomous logistic vehicle for contactless goods transportation,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving The role of the hercules autonomous vehicle during the covid-19 pandemic: An autonomous logistic vehicle for contactless goods transportation,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:12.996233Z

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Observation 3a67e19d-68c4-4630-80a3-c080c4e7e697 · outbound

This paper cites Hidden biases of end-to-end driving models,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Hidden biases of end-to-end driving models,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:13.094843Z

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Observation fc0d5c6d-dcd9-4459-87c1-5c49e8493488 · outbound

This paper cites Vad: Vectorized scene representation for efficient autonomous driving,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Vad: Vectorized scene representation for efficient autonomous driving,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:13.246580Z

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Observation c532b8ef-9641-411b-9d68-8fc01a1816f7 · outbound

This paper cites Planning-oriented autonomous driving,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Planning-oriented autonomous driving,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:13.371386Z

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Observation a1b85e06-f3fc-4209-8cef-9d096e8b5a50 · outbound

This paper cites Drivegpt4-v2: Harnessing large language model capabilities for enhanced closed-loop autonomous driving,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Drivegpt4-v2: Harnessing large language model capabilities for enhanced closed-loop autonomous driving,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:13.484765Z

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Observation ea1ce92c-c84f-48ed-80ef-bd29a9fc2f5f · outbound

This paper cites TinyLlama: An Open-Source Small Language Model.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving TinyLlama: An Open-Source Small Language Model

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:13.639322Z

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Observation 538c3386-db2d-4199-a6de-a288c294489e · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:13.730653Z

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Observation 2aca17de-2287-4365-86bc-9fd10cbd662c · outbound

This paper cites Visual instruction tuning,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Visual instruction tuning,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:13.834564Z

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Observation 4f742e5a-4381-4585-9a4c-8c1fb17e5d33 · outbound

This paper cites Qwen2.5-VL Technical Report.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Qwen2.5-VL Technical Report

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:13.987470Z

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Observation 223ca307-9dd6-4c66-885f-8a2bd6210a3e · outbound

This paper cites Video- llava: Learning united visual representation by alignment before pro- jection,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Video- llava: Learning united visual representation by alignment before pro- jection,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:14.058970Z

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Unavailable: canonical work link unavailable.

Observation 45052362-20d8-40b9-bdcd-86ad17b82690 · outbound

This paper cites Llava- next: Improved reasoning, ocr, and world knowledge,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Llava- next: Improved reasoning, ocr, and world knowledge,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:14.141572Z

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Observation 613fe55e-1e2a-4984-83f8-dfd8f1493235 · outbound

This paper cites Language models do not embed numbers continuously,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Language models do not embed numbers continuously,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:14.224286Z

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Observation c39a92c7-d10e-4be3-a091-8e7702cc0662 · outbound

This paper cites Number representations in llms: A computational parallel to human perception,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Number representations in llms: A computational parallel to human perception,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:14.314719Z

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Unavailable: canonical work link unavailable.

Observation 891aaf12-947c-4e04-8691-b3e5decb84ef · outbound

This paper cites GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:14.387721Z

Source-reported events for the cited work

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Observation 80033fc3-cc5d-45f3-a32f-17e001563af9 · outbound

This paper cites Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:14.473178Z

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Observation ac0eb2a4-9d7c-49fe-987b-d74caa081594 · outbound

This paper cites Benchmarking the performance of large language models in uveitis: a comparative analysis of chatgpt- 3.5, chatgpt-4.0, google gemini, and anthropic claude3,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Benchmarking the performance of large language models in uveitis: a comparative analysis of chatgpt- 3.5, chatgpt-4.0, google gemini, and anthropic claude3,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:14.565660Z

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Observation cd6a0b4a-c170-4fb8-b26b-899d5531d445 · outbound

This paper cites Llava-mini: Efficient image and video large multimodal models with one vision token,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Llava-mini: Efficient image and video large multimodal models with one vision token,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:14.659002Z

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Observation 48fc25d4-9347-41c0-9db0-c77eeea07807 · outbound

This paper cites Llava-more: A comparative study of llms and visual backbones for enhanced visual instruction tuning,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Llava-more: A comparative study of llms and visual backbones for enhanced visual instruction tuning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:14.712513Z

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Unavailable: canonical work link unavailable.

Observation e7db801f-cc5c-4245-b14a-646db3a55f63 · outbound

This paper cites Omni-r1: Do you really need audio to fine-tune your audio llm?.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Omni-r1: Do you really need audio to fine-tune your audio llm?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:14.799292Z

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Observation a785ac36-2272-4989-91c3-17af25635df0 · outbound

This paper cites Exploring finetuned audio-llm on heart murmur features,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Exploring finetuned audio-llm on heart murmur features,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:14.889140Z

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Observation 95059a4c-a027-4815-b3f6-7fe867f63a7f · outbound

This paper cites Surveying the mllm landscape: A meta- review of current surveys,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Surveying the mllm landscape: A meta- review of current surveys,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:14.973427Z

Source-reported events for the cited work

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Observation c74b8d20-b91c-47f9-90b1-4ccae8f2c2eb · outbound

This paper cites Vtimellm: Empower llm to grasp video moments,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Vtimellm: Empower llm to grasp video moments,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:15.037631Z

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Observation c1189905-47cb-4df9-aebc-0e890cb884d2 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:15.098734Z

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Observation cb1514fb-df2b-4cfa-80b4-7960078f81cd · outbound

This paper cites Attention is all you need,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Attention is all you need,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:15.160968Z

Source-reported events for the cited work

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Observation d1751097-dd33-4088-87d3-7442a1068190 · outbound

This paper cites Blip: Bootstrapping language- image pre-training for unified vision-language understanding and generation,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Blip: Bootstrapping language- image pre-training for unified vision-language understanding and generation,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:15.227599Z

Source-reported events for the cited work

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Observation d6bd6a50-6ac6-4993-8885-757926591c1c · outbound

This paper cites Vadv2: End-to-end vectorized autonomous driving via probabilistic planning,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Vadv2: End-to-end vectorized autonomous driving via probabilistic planning,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:15.280696Z

Source-reported events for the cited work

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Observation 9252beae-e54e-44a7-8ee7-dfc15e3e4c64 · outbound

This paper cites Lmdrive: Closed-loop end-to-end driving with large language models,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Lmdrive: Closed-loop end-to-end driving with large language models,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:15.341957Z

Source-reported events for the cited work

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Observation abdb94d6-19c4-4ef9-bd2b-304216ab8a51 · outbound

This paper cites Drivegpt4: Interpretable end-to-end autonomous driving via large language model,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Drivegpt4: Interpretable end-to-end autonomous driving via large language model,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:15.378637Z

Source-reported events for the cited work

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Observation a347ee98-c49c-42e5-981f-d9789b1de02c · outbound

This paper cites Insmapper: Exploring inner- instance information for vectorized hd mapping,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Insmapper: Exploring inner- instance information for vectorized hd mapping,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:15.442914Z

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Observation 46700c65-3034-4e92-985e-5c74921c472b · outbound

This paper cites Invdriver: Intra-instance aware vectorized query-based autonomous driving trans- former,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Invdriver: Intra-instance aware vectorized query-based autonomous driving trans- former,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:15.485954Z

Source-reported events for the cited work

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Observation 4bed009d-263e-4c56-955e-882f8e8a56cc · outbound

This paper cites Recent advancements in end-to-end au- tonomous driving using deep learning: A survey,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Recent advancements in end-to-end au- tonomous driving using deep learning: A survey,

Reference 31

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Observation 0a068470-221b-4aa7-9608-5aa8d8833b1e · outbound

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

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Lc-llm: Explainable lane-change intention and trajectory predictions with large language models,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:15.603347Z

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Observation da1f690b-be9c-4ef9-afd1-e395937e33c3 · outbound

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

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving sam-llm: interpretable lane change trajectoryprediction via parametric finetuning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:15.662773Z

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Observation b6a552bd-712a-4c71-8622-6a3720e3bf36 · outbound

This paper cites Autovla: A vision-language-action model for end-to-end autonomous driving with adaptive reasoning and reinforcement fine- tuning,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Autovla: A vision-language-action model for end-to-end autonomous driving with adaptive reasoning and reinforcement fine- tuning,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:15.722489Z

Source-reported events for the cited work

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Observation 3bc640cd-eeb5-4df5-815b-2c26357b4836 · outbound

This paper cites Applications of large language models and multimodal large models in autonomous driving: A comprehensive review,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Applications of large language models and multimodal large models in autonomous driving: A comprehensive review,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:15.778168Z

Source-reported events for the cited work

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Observation b1ae1868-364c-481b-8216-fdd79e70a5f0 · outbound

This paper cites A survey on large language model-powered autonomous driving,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving A survey on large language model-powered autonomous driving,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:15.836181Z

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Observation dbe5c12e-d192-4b6d-b174-a466b682101d · outbound

This paper cites Hallucination reduction and optimization for large language model-based autonomous driving,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Hallucination reduction and optimization for large language model-based autonomous driving,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:15.904473Z

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This paper cites Teaching arithmetic to small transformers,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Teaching arithmetic to small transformers,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:15.940509Z

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Observation a4980c63-d8d7-4e6a-b0a6-8a5abb2b0da9 · outbound

This paper cites Positional Description Matters for Transformers Arithmetic.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Positional Description Matters for Transformers Arithmetic

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:16.039812Z

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Observation bf718275-7559-4e74-9bb7-56eba5e6d508 · outbound

This paper cites Numerologic: Number encoding for enhanced llms’ numerical reasoning,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Numerologic: Number encoding for enhanced llms’ numerical reasoning,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:16.154175Z

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Observation 04250933-6454-4e9f-82c6-9e4e49c7a28a · outbound

This paper cites Safeauto: Knowledge-enhanced safe autonomous driving with multi- modal foundation models,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Safeauto: Knowledge-enhanced safe autonomous driving with multi- modal foundation models,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:16.266498Z

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Observation eecca896-5675-4f40-bdfc-cf49b08f8029 · outbound

This paper cites xval: A continuous number encoding for large language models,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving xval: A continuous number encoding for large language models,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:16.422341Z

Source-reported events for the cited work

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Observation 2ef12bff-0f17-4378-bee5-c97c65725356 · outbound

This paper cites Interleaving text and number embeddings to solve mathemathics problems,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Interleaving text and number embeddings to solve mathemathics problems,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:16.550379Z

Source-reported events for the cited work

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Observation 4ecff6bc-f766-499c-8c63-4e2d336ac742 · outbound

This paper cites The geometry of numerical reasoning: Language models compare numeric properties in linear subspaces,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving The geometry of numerical reasoning: Language models compare numeric properties in linear subspaces,

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Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:16.669336Z

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Observation 6e12dae9-719a-4795-9d2c-6d537fa25558 · outbound

This paper cites Language models encode the value of numbers linearly,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Language models encode the value of numbers linearly,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:16.757839Z

Source-reported events for the cited work

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Observation c6b27bec-4a15-49df-83ba-2773375cf1b3 · outbound

This paper cites Pre- trained language models learn remarkably accurate representations of numbers,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Pre- trained language models learn remarkably accurate representations of numbers,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:16.916152Z

Source-reported events for the cited work

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Observation 53b591db-167a-426d-aa29-49c0bfd0820c · outbound

This paper cites Adapt: Action-aware driving caption transformer,.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Adapt: Action-aware driving caption transformer,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T06:00:16.978845Z

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