Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T06:00:16.978845Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T06:00:16.978845Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
47 of 47 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation c01e03a0-58c1-4b39-8781-20532db4781d · outbound
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
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Observation 3a67e19d-68c4-4630-80a3-c080c4e7e697 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Hidden biases of end-to-end driving models,
Reference 2
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Observation fc0d5c6d-dcd9-4459-87c1-5c49e8493488 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Vad: Vectorized scene representation for efficient autonomous driving,
Reference 3
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Observation c532b8ef-9641-411b-9d68-8fc01a1816f7 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Planning-oriented autonomous driving,
Reference 4
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Observation a1b85e06-f3fc-4209-8cef-9d096e8b5a50 · outbound
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
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Observation ea1ce92c-c84f-48ed-80ef-bd29a9fc2f5f · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving TinyLlama: An Open-Source Small Language Model
Reference 6
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Observation 538c3386-db2d-4199-a6de-a288c294489e · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,
Reference 7
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Observation 2aca17de-2287-4365-86bc-9fd10cbd662c · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Visual instruction tuning,
Reference 8
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Observation 4f742e5a-4381-4585-9a4c-8c1fb17e5d33 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Qwen2.5-VL Technical Report
Reference 9
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Observation 223ca307-9dd6-4c66-885f-8a2bd6210a3e · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Video- llava: Learning united visual representation by alignment before pro- jection,
Reference 10
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Observation 45052362-20d8-40b9-bdcd-86ad17b82690 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Llava- next: Improved reasoning, ocr, and world knowledge,
Reference 11
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Observation 613fe55e-1e2a-4984-83f8-dfd8f1493235 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Language models do not embed numbers continuously,
Reference 12
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Observation c39a92c7-d10e-4be3-a091-8e7702cc0662 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Number representations in llms: A computational parallel to human perception,
Reference 13
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Observation 891aaf12-947c-4e04-8691-b3e5decb84ef · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Reference 14
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Observation 80033fc3-cc5d-45f3-a32f-17e001563af9 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 15
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Observation ac0eb2a4-9d7c-49fe-987b-d74caa081594 · outbound
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
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Observation cd6a0b4a-c170-4fb8-b26b-899d5531d445 · outbound
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
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Observation 48fc25d4-9347-41c0-9db0-c77eeea07807 · outbound
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
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Observation e7db801f-cc5c-4245-b14a-646db3a55f63 · outbound
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
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Observation a785ac36-2272-4989-91c3-17af25635df0 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Exploring finetuned audio-llm on heart murmur features,
Reference 20
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Observation 95059a4c-a027-4815-b3f6-7fe867f63a7f · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Surveying the mllm landscape: A meta- review of current surveys,
Reference 21
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Observation c74b8d20-b91c-47f9-90b1-4ccae8f2c2eb · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Vtimellm: Empower llm to grasp video moments,
Reference 22
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Observation c1189905-47cb-4df9-aebc-0e890cb884d2 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving An image is worth 16x16 words: Transformers for image recognition at scale,
Reference 23
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Observation cb1514fb-df2b-4cfa-80b4-7960078f81cd · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Attention is all you need,
Reference 24
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Observation d1751097-dd33-4088-87d3-7442a1068190 · outbound
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
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Observation d6bd6a50-6ac6-4993-8885-757926591c1c · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Vadv2: End-to-end vectorized autonomous driving via probabilistic planning,
Reference 26
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Observation 9252beae-e54e-44a7-8ee7-dfc15e3e4c64 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Lmdrive: Closed-loop end-to-end driving with large language models,
Reference 27
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Observation abdb94d6-19c4-4ef9-bd2b-304216ab8a51 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Drivegpt4: Interpretable end-to-end autonomous driving via large language model,
Reference 28
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Unavailable: canonical work link unavailable.
Observation a347ee98-c49c-42e5-981f-d9789b1de02c · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Insmapper: Exploring inner- instance information for vectorized hd mapping,
Reference 29
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Unavailable: canonical work link unavailable.
Observation 46700c65-3034-4e92-985e-5c74921c472b · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Invdriver: Intra-instance aware vectorized query-based autonomous driving trans- former,
Reference 30
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Observation 4bed009d-263e-4c56-955e-882f8e8a56cc · outbound
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
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
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Observation da1f690b-be9c-4ef9-afd1-e395937e33c3 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving sam-llm: interpretable lane change trajectoryprediction via parametric finetuning
Reference 33
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Observation b6a552bd-712a-4c71-8622-6a3720e3bf36 · outbound
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
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Observation 3bc640cd-eeb5-4df5-815b-2c26357b4836 · outbound
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
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Observation b1ae1868-364c-481b-8216-fdd79e70a5f0 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving A survey on large language model-powered autonomous driving,
Reference 36
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Observation dbe5c12e-d192-4b6d-b174-a466b682101d · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Hallucination reduction and optimization for large language model-based autonomous driving,
Reference 37
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Observation 07ec1912-e1bf-4650-a49c-90afa3e32fc6 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Teaching arithmetic to small transformers,
Reference 38
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Observation a4980c63-d8d7-4e6a-b0a6-8a5abb2b0da9 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Positional Description Matters for Transformers Arithmetic
Reference 39
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Observation bf718275-7559-4e74-9bb7-56eba5e6d508 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Numerologic: Number encoding for enhanced llms’ numerical reasoning,
Reference 40
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Observation 04250933-6454-4e9f-82c6-9e4e49c7a28a · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Safeauto: Knowledge-enhanced safe autonomous driving with multi- modal foundation models,
Reference 41
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Observation eecca896-5675-4f40-bdfc-cf49b08f8029 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving xval: A continuous number encoding for large language models,
Reference 42
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Observation 2ef12bff-0f17-4378-bee5-c97c65725356 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Interleaving text and number embeddings to solve mathemathics problems,
Reference 43
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Observation 4ecff6bc-f766-499c-8c63-4e2d336ac742 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving The geometry of numerical reasoning: Language models compare numeric properties in linear subspaces,
Reference 44
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Observation 6e12dae9-719a-4795-9d2c-6d537fa25558 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Language models encode the value of numbers linearly,
Reference 45
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Observation c6b27bec-4a15-49df-83ba-2773375cf1b3 · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Pre- trained language models learn remarkably accurate representations of numbers,
Reference 46
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Observation 53b591db-167a-426d-aa29-49c0bfd0820c · outbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Adapt: Action-aware driving caption transformer,
Reference 47
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No inbound Pith citation observations are available.