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Paper Citation Record · LEDGER

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving

As of 13 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2608.01998.

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

pith.paper-citation-record.v1
2608.01998 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:01:45.620020Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

30 of 30 outbound references displayed

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Outbound references

Observation b6dc7b6b-4e24-40c6-a8b6-a944bea3980b · outbound

This paper cites Open- DriveVLA: Towards end-to-end autonomous driving with large vision language action model,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Open- DriveVLA: Towards end-to-end autonomous driving with large vision language action model,

Reference 1

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Observation e5785dc2-9afc-42d1-a89a-ab5663929b1c · outbound

This paper cites VLM-MPC: Model predictive controller augmented vision language model for autonomous driving,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving VLM-MPC: Model predictive controller augmented vision language model for autonomous driving,

Reference 2

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Observation 52fd1325-7de8-4e85-9a28-7a6342d3c7dd · outbound

This paper cites A cloud–edge collabora- tive architecture for multimodal LLM-based advanced driver assistance systems in iot networks,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving A cloud–edge collabora- tive architecture for multimodal LLM-based advanced driver assistance systems in iot networks,

Reference 3

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Observation a31c5373-8cd8-4312-b220-a5cd070a9eac · outbound

This paper cites guided mllm reasoning: Enhancing mllm with knowledge and visual notes for visual question answering,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving guided mllm reasoning: Enhancing mllm with knowledge and visual notes for visual question answering,

Reference 4

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Observation d0c99f98-c84d-4ce6-8fc9-43050369c2d6 · outbound

This paper cites EM-VLM4AD: Multi- frame, lightweight & efficient vision-language models for question answering in autonomous driving,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving EM-VLM4AD: Multi- frame, lightweight & efficient vision-language models for question answering in autonomous driving,

Reference 5

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source=pdf_text observed=2026-08-04T17:01:45.510952Z digest=sha256:505a35b46813573964a6b32e1ed71290aef474c1495c506c5aa2920119dcf68f

Observation f00dd808-7a89-4efa-81ca-ff4f944175c1 · outbound

This paper cites A stitch in time saves nine: Small vlm is a precise guidance for accelerating large vlms,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving A stitch in time saves nine: Small vlm is a precise guidance for accelerating large vlms,

Reference 6

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source=pdf_text observed=2026-08-04T17:01:45.515470Z digest=sha256:c18a15c3f6f768fcdbdbe67458b25389935dfaf2baf998cc3f819b187997dd00

Observation 0685999a-2c7a-4884-a14c-293d17208636 · outbound

This paper cites Making large vision language models to be good few-shot learners,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Making large vision language models to be good few-shot learners,

Reference 7

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Observation d062b836-4d9d-44c7-8487-0ab7b86bcf14 · outbound

This paper cites Vision-language models for edge networks: A comprehensive survey,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Vision-language models for edge networks: A comprehensive survey,

Reference 8

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Observation 1ef79616-6cfe-4399-a456-0d97b5668bc3 · outbound

This paper cites Task-oriented wireless communications for collaborative perception in intelligent un- manned systems,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Task-oriented wireless communications for collaborative perception in intelligent un- manned systems,

Reference 9

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Observation 44de8af3-1c13-4075-a0bb-d271d4eee6fe · outbound

This paper cites Timeliness-oriented asynchronous task offloading in UA V-edge- computing systems,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Timeliness-oriented asynchronous task offloading in UA V-edge- computing systems,

Reference 10

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Observation 9e2a8815-ceba-43b8-a5f6-e9f143050c6d · outbound

This paper cites Optimizing task-specific timeliness with edge-assisted scheduling for status update,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Optimizing task-specific timeliness with edge-assisted scheduling for status update,

Reference 11

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Observation e77b6055-f29f-4746-8185-9a0c003b864a · outbound

This paper cites Real-time status: How often should one update?.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Real-time status: How often should one update?

Reference 12

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Observation 67df7941-6b0a-4ddb-bebb-527377c1e0f8 · outbound

This paper cites Timely monitoring of dynamic sources with observations from multiple wireless sensors,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Timely monitoring of dynamic sources with observations from multiple wireless sensors,

Reference 13

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Observation 744f3685-6698-4756-8ce0-9f2534a40066 · outbound

This paper cites Minimizing age of usage information for capturing freshness and usability of correlated data in edge computing enabled IoT systems,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Minimizing age of usage information for capturing freshness and usability of correlated data in edge computing enabled IoT systems,

Reference 14

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Observation b1e28b17-2c3a-4dec-9bcc-c592b45d6ecf · outbound

This paper cites Minimizing Task-Oriented Age of Information for Remote Monitoring with Pre-Identification.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Minimizing Task-Oriented Age of Information for Remote Monitoring with Pre-Identification

Reference 15

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Observation 00e9734a-994b-4020-bad4-a14d67fcd2ce · outbound

This paper cites Granularity-aware hyperbolic representation for text-based person search,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Granularity-aware hyperbolic representation for text-based person search,

Reference 16

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Observation 0f02b26b-748f-459f-b361-d412b23bbe3a · outbound

This paper cites Thinking in granularity: Dynamic quantization for image super-resolution by intriguing multi-granularity clues,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Thinking in granularity: Dynamic quantization for image super-resolution by intriguing multi-granularity clues,

Reference 17

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Observation dc558962-8b06-40a6-8cbb-0c1d7b3d20ca · outbound

This paper cites Granularity-adaptive spatial evidence tokenization for video question answering,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Granularity-adaptive spatial evidence tokenization for video question answering,

Reference 18

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Observation 5f9847b8-27a5-463a-b45e-19332966ae0a · outbound

This paper cites Tokenselect: Efficient long-context inference and length extrapolation for llms via dynamic token-level kv cache selection,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Tokenselect: Efficient long-context inference and length extrapolation for llms via dynamic token-level kv cache selection,

Reference 19

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Observation ca8ccc78-dbe0-4362-81f4-67188b655172 · outbound

This paper cites Sliminfer: Accelerating long-context llm inference via dynamic token pruning,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Sliminfer: Accelerating long-context llm inference via dynamic token pruning,

Reference 20

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Observation 06745424-b15a-48bb-a1e6-864667d47b4b · outbound

This paper cites V2X-VLM: End-to-end V2V cooperative autonomous driving through large vision-language models,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving V2X-VLM: End-to-end V2V cooperative autonomous driving through large vision-language models,

Reference 21

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Observation b612d300-397d-473e-8004-b6d78c7b41ad · outbound

This paper cites Laecips: large vision model assisted adaptive edge-cloud collaboration for iot-based perception system,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Laecips: large vision model assisted adaptive edge-cloud collaboration for iot-based perception system,

Reference 22

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Observation 7ba8982f-3fb8-4d3d-94f6-fc2ef2df6893 · outbound

This paper cites Vavlm: Toward efficient edge-cloud video analytics with vision- language models,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Vavlm: Toward efficient edge-cloud video analytics with vision- language models,

Reference 23

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Observation db5fa329-92d7-4e08-af38-bfc56d5e409a · outbound

This paper cites DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models

Reference 24

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Observation f87b3b28-68a7-4544-81de-64040cc0ccc3 · outbound

This paper cites Token communication in the era of large models: An information bottleneck- based approach,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Token communication in the era of large models: An information bottleneck- based approach,

Reference 25

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Observation 446d296c-0e12-427d-89ee-5096985dda7f · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models,

Reference 26

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Observation 8b272139-7e7c-484e-b881-d7b9e0d8fb41 · outbound

This paper cites Llava-med: Training a large language- and-vision assistant for biomedicine in one day,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Llava-med: Training a large language- and-vision assistant for biomedicine in one day,

Reference 27

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Observation 7e5374bf-6376-4f46-9511-ff0e682b2e5b · outbound

This paper cites edgeVLM: Cloud-edge collaborative real-time VLM based on context transfer,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving edgeVLM: Cloud-edge collaborative real-time VLM based on context transfer,

Reference 28

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Observation 6261a4ce-5fd8-44a8-9839-ee8f04a0a5f5 · outbound

This paper cites Neely,Stochastic network optimization with application to commu- nication and queueing systems.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving Neely,Stochastic network optimization with application to commu- nication and queueing systems

Reference 29

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Observation 246d481f-f38c-4d13-b9e9-a3bcd818fbfe · outbound

This paper cites nuScenes: A multimodal dataset for autonomous driving,.

TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving nuScenes: A multimodal dataset for autonomous driving,

Reference 30

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Pith citing papers

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