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Paper Citation Record · LEDGER

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks

As of 18 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 1 inbound Pith citation observation for arXiv:2505.02413.

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

pith.paper-citation-record.v1
2505.02413 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:01:03.968907Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:40:57.681998Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-15T16:40:57.753658Z

Reference resolution

71 of 71 outbound references displayed

  • verified exact2
  • verified fuzzy41
  • unresolved26
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c55dba9f-0ce6-490c-b40f-40e9869de194 · outbound

This paper cites OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models

Reference 1

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source=pdf_text observed=2026-08-16T01:01:03.666840Z digest=sha256:16f98da30a14c3d7fe0d9133c7fe08bb99f1d36e7d90cc564eccda4a9a4ea850

Observation 2de3a2ef-f477-4433-99ee-43e7d6ac6b88 · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 2

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source=pdf_text observed=2026-08-16T01:01:03.672598Z digest=sha256:b35193e450020bd325b1a58b9de9686b9ea8ebee20fe7b4c7a8e01d4e9f6e959

Observation 65d0bd7e-ef66-4347-a6e4-185411d27847 · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Improved Baselines with Visual Instruction Tuning

Reference 3

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source=pdf_text observed=2026-08-16T01:01:03.677426Z digest=sha256:a2931e82b4467073197df867698036c7af03f733f04c8d48b9e4803b907e5536

Observation 610869c9-76e9-430d-8079-31230a8a1245 · outbound

This paper cites Multimodal Foundation Models: From Specialists to General- Purpose Assistants,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Multimodal Foundation Models: From Specialists to General- Purpose Assistants,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.682571Z digest=sha256:a016db37a3a1149e8be0b0d13f21b02e1a1463d35b618c50120ca68658d96e84

Observation 473ea202-319e-486c-a297-7240737d399e · outbound

This paper cites GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation

Reference 5

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source=pdf_text observed=2026-08-16T01:01:03.686670Z digest=sha256:abd01ed6758b4ab787b2ad137096c0551811326604f368783f9318c30194d56c

Observation 5e3095a4-e005-425a-af74-9876b6ea2866 · outbound

This paper cites LMaaS: Exploring Pricing Strategy of Large Model as a Service for Communication,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks LMaaS: Exploring Pricing Strategy of Large Model as a Service for Communication,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.691592Z digest=sha256:933e88ed1d06fc6bd3546ea91f9f13791cd55620482b1b081bb097959598bec4

Observation 04808b83-505e-4183-af53-ce654c96f9f1 · outbound

This paper cites GPT-4 Technical Report,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks GPT-4 Technical Report,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.695705Z digest=sha256:7f1eaefe30bc5f1d20736ec009ec2e40771b4f647e22d8ae02d3371f87c61f88

Observation 66360e41-c5ae-42ca-854b-e1868fff7e12 · outbound

This paper cites ChatGPT,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks ChatGPT,

Reference 8

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T01:01:03.700353Z digest=sha256:4ce301285f36faeda10bb21795a2294a95096ba58e15e07112ab9e596165dc95

Observation 32cafd27-6bc3-40d1-bd27-ec9406ab4d77 · outbound

This paper cites A Survey on Multimodal Large Language Models for Autonomous Driving,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks A Survey on Multimodal Large Language Models for Autonomous Driving,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.704216Z digest=sha256:c30ec4384621c4f040156523a8897b24c593da903236af44d9b4b6728ce24156

Observation 9da7b358-a706-49a4-9993-07ed47e234a7 · outbound

This paper cites Vision Language Models in Autonomous Driving: A Survey and Outlook,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Vision Language Models in Autonomous Driving: A Survey and Outlook,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.708083Z digest=sha256:4f3664e38621d3104fede3247b610a9e962e017c27f4d24837565f377a4484e1

Observation b99ae245-8444-486e-a8ee-75e6f880dc1c · outbound

This paper cites HiLM-D: Enhancing MLLMs with Multi-Scale High-Resolution Details for Autonomous Driving.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks HiLM-D: Enhancing MLLMs with Multi-Scale High-Resolution Details for Autonomous Driving

Reference 11

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source=pdf_text observed=2026-08-16T01:01:03.711646Z digest=sha256:4225552ee7bba1706373decc70899bbb56cc049896e60fc6c2133f91a09ba3fd

Observation 43c37816-4444-4031-a166-776b6ac6cf04 · outbound

This paper cites Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.716377Z digest=sha256:710b58f555ee759f248645c048f1c5a39babc092b28e6c1f06601e0eb91dc7fb

Observation 1160077c-a2bc-42a1-9ad6-33aa6b8f2406 · outbound

This paper cites SurrealDriver: Designing LLM-powered Generative Driver Agent Framework based on Human Drivers' Driving-thinking Data.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks SurrealDriver: Designing LLM-powered Generative Driver Agent Framework based on Human Drivers' Driving-thinking Data

Reference 13

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source=pdf_text observed=2026-08-16T01:01:03.720459Z digest=sha256:e438ed50577ce312bcd28592a3fd479d080addf3562d4c04faccea505060a3ac

Observation 37da57f2-87ac-4076-846f-c212edd83b70 · outbound

This paper cites DriveLLaVA: Human-Level Behavior Decisions via Vision Language Model,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks DriveLLaVA: Human-Level Behavior Decisions via Vision Language Model,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.724936Z digest=sha256:a171215953d13da98b109bfb5e3e092f07acc24cb5151b3a522dae6541c1b0bd

Observation 3dcbd5d4-ff7b-4bc7-a076-46b722f1e100 · outbound

This paper cites Efficient Multimodal Large Language Models: A Survey,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Efficient Multimodal Large Language Models: A Survey,

Reference 15

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source=pdf_text observed=2026-08-16T01:01:03.731997Z digest=sha256:54c631582ff31a8517f877dfc6fec936bc107215c19c54d854a8f79b22dd2a9b

Observation e68b96a2-957b-4dbb-914a-7d7576e4d062 · outbound

This paper cites Resource Allocation in Large Language Model Integrated 6G Vehicular Networks.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Resource Allocation in Large Language Model Integrated 6G Vehicular Networks

Reference 16

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source=pdf_text observed=2026-08-16T01:01:03.735992Z digest=sha256:bb227848b20a03978dfbc52d72cb9f586826becd88a633a71fc2a629bfa15f15

Observation c4bd0d09-851b-4a5e-a3df-61917e32f605 · outbound

This paper cites A Superalignment Framework in Autonomous Driving with Large Language Mod- els,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks A Superalignment Framework in Autonomous Driving with Large Language Mod- els,

Reference 17

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raw_fallback, observed 2026-08-16T01:01:05.175234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.740320Z digest=sha256:72e78947248837e9c2fb000ac9fdd42e6444892d5c28935d29d7f79234fc33d3

Observation 4b8f881d-d53d-4889-89b4-1af92b46e952 · outbound

This paper cites A survey on multimodal large language models,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks A survey on multimodal large language models,

Reference 18

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raw_fallback, observed 2026-08-16T01:01:05.158588Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.746612Z digest=sha256:bb67e940d1d8a9ea6c94cffe53a9be5ebd0461e763466caf7eac07b0c62d0b7b

Observation d48420de-33a1-40e5-bda9-c217f1e7a263 · outbound

This paper cites Imp: Highly Capable Large Multimodal Models for Mobile Devices.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Imp: Highly Capable Large Multimodal Models for Mobile Devices

Reference 19

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source=pdf_text observed=2026-08-16T01:01:03.751952Z digest=sha256:c8a3d984774fe61ae2ab2d0ef4f330523bb3ed53e5b34085290741b81dfe1889

Observation 40529b38-6260-4cf7-93bb-bf1c65e2eba3 · outbound

This paper cites TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones

Reference 20

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source=pdf_text observed=2026-08-16T01:01:03.756682Z digest=sha256:439ba338f69bb513d9ecb8aa5992d72e089db8e0f02244369f3f681e993d6247

Observation 6bec27e2-92f8-40a7-9642-9bbcff70df0b · outbound

This paper cites TinyLLaVA: A Framework of Small-scale Large Multimodal Models.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks TinyLLaVA: A Framework of Small-scale Large Multimodal Models

Reference 21

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source=pdf_text observed=2026-08-16T01:01:03.760511Z digest=sha256:914371e3ea6077720294c3a4ca5454c6453850e5fdc968ea44e952ed352c0357

Observation 6cf16581-2ef8-4a45-8650-5e9959a2007d · outbound

This paper cites A Survey on Model Compression for Large Language Models,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks A Survey on Model Compression for Large Language Models,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.764628Z digest=sha256:180d486c611ee03e801f1e34e6662b6824e6eb34c0767beb3db00240dd4f9cbe

Observation 7d92d552-2948-4c32-9adc-b7a68f3146de · outbound

This paper cites Large Language Models (LLMs) Inference Offloading and Resource Allocation in Cloud-Edge Computing: An Active Inference Approach,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Large Language Models (LLMs) Inference Offloading and Resource Allocation in Cloud-Edge Computing: An Active Inference Approach,

Reference 23

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raw_fallback, observed 2026-08-16T01:01:05.100674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.773115Z digest=sha256:533ec2f088ba88e421494aaabd23cd0f9951e44dfb3c060cfd3495b86ca48d59

Observation 049f4a3c-83cf-48bb-8e3a-9ee4c566e51a · outbound

This paper cites PerLLM: Personalized Inference Scheduling with Edge-Cloud Collaboration for Diverse LLM Services.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks PerLLM: Personalized Inference Scheduling with Edge-Cloud Collaboration for Diverse LLM Services

Reference 24

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source=pdf_text observed=2026-08-16T01:01:03.777329Z digest=sha256:467db9e54d67dafafffdbfcaa66350235e19f217a8176e734408fafa5a14bd71

Observation fbf7cb3d-4a89-47af-bbe2-8db4cfbff3e1 · outbound

This paper cites On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds,

Reference 25

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raw_fallback, observed 2026-08-16T01:01:05.079672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.782075Z digest=sha256:9e68768008785571f8d5319d1afca26ec4d0c11e7ab049ea481e856c9f4d764f

Observation 15dbc0ef-109c-420f-8ea2-4dda67b0c0bd · outbound

This paper cites Sixth Generation (6G) Wireless Networks: Vision, Research Activities, Challenges and Potential Solutions,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Sixth Generation (6G) Wireless Networks: Vision, Research Activities, Challenges and Potential Solutions,

Reference 26

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raw_fallback, observed 2026-08-16T01:01:05.061866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.786905Z digest=sha256:77dbcfabaf1a0cb2e212d50942fa3879b96ad0dc134c9866ac7b1b5883b4396c

Observation 14240708-2ea0-42b0-b491-86a75d29dd2f · outbound

This paper cites A Uni- fied Multi-Task Semantic Communication System for Multimodal Data,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks A Uni- fied Multi-Task Semantic Communication System for Multimodal Data,

Reference 27

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raw_fallback, observed 2026-08-16T01:01:05.042034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.790905Z digest=sha256:ede3a99f5d01f50bf5201a3a5cc541f32a4227831aa9a0f363163009f3be772f

Observation 3e5aefb6-5908-4ad2-964c-b35ad6e90092 · outbound

This paper cites Deep Learning Enabled Semantic Communication Systems,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Deep Learning Enabled Semantic Communication Systems,

Reference 28

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raw_fallback, observed 2026-08-16T01:01:05.023887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.794982Z digest=sha256:4f2c91191e1fd064b7d7fabe7797847d7493be87f99ad485c542c63f13451429

Observation 25eceeb5-c2bb-4c85-9d8d-e5329216313a · outbound

This paper cites Joint Task and Data-Oriented Semantic Communications: A Deep Separate Source-Channel Coding Scheme,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Joint Task and Data-Oriented Semantic Communications: A Deep Separate Source-Channel Coding Scheme,

Reference 29

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raw_fallback, observed 2026-08-16T01:01:05.000352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.798898Z digest=sha256:87dc451818f1cba0d87493f4b6694accea448ecc2afd9425635ac5e3b440faae

Observation 5389446b-98a1-47aa-a194-5a6533055abe · outbound

This paper cites Personalized Saliency in Task-Oriented Semantic Commu- nications: Image Transmission and Performance Analysis,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Personalized Saliency in Task-Oriented Semantic Commu- nications: Image Transmission and Performance Analysis,

Reference 30

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raw_fallback, observed 2026-08-16T01:01:04.986973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.802680Z digest=sha256:469acd41b33e8167e3e7287f0e4650461b4919d7dc1aa338d1ef5ee222efc858

Observation b01a0b08-37a8-4396-a248-d0fd8f547533 · outbound

This paper cites AI-Generated Incentive Mechanism and Full-Duplex Semantic Communications for Information Sharing,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks AI-Generated Incentive Mechanism and Full-Duplex Semantic Communications for Information Sharing,

Reference 31

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raw_fallback, observed 2026-08-16T01:01:04.973001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.806528Z digest=sha256:e40bc407c35d524722b09bee912242a60fccc78200c3aae92dcefbfe66e629d1

Observation da94aae9-1693-4787-9862-4f8ab6f455cb · outbound

This paper cites Semantic Communication Meets Edge Intelligence,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Semantic Communication Meets Edge Intelligence,

Reference 32

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raw_fallback, observed 2026-08-16T01:01:04.959047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.810510Z digest=sha256:10945278b1e6ce7e21d5b0deda0bfa36740c27b2d8c230ac8b95249f5edcb47d

Observation e3e6934a-b862-483b-ac72-0dcf943178ad · outbound

This paper cites A Theory of Semantic Commu- nication,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks A Theory of Semantic Commu- nication,

Reference 33

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raw_fallback, observed 2026-08-16T01:01:04.945817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.814365Z digest=sha256:f347fc382e1c16dfb4e07fd404e6641f80af5ceda9bdca1abb2487947dd70e57

Observation a8c006df-42cd-4ef2-92ce-dc7f5bce47fa · outbound

This paper cites Edge-Cloud Collaborative Motion Planning for Autonomous Driving with Large Language Models.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Edge-Cloud Collaborative Motion Planning for Autonomous Driving with Large Language Models

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-16T01:01:04.314224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.818753Z digest=sha256:a2a4a0430b26d5c2bd3473dbb0605f679e5c7d13c6d02f78d7cd00df465e703b

Observation 4fe7edb5-08cf-4816-b70a-f9b4d858ad14 · outbound

This paper cites Task-Oriented Multi-User Semantic Communications for VQA,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Task-Oriented Multi-User Semantic Communications for VQA,

Reference 35

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raw_fallback, observed 2026-08-16T01:01:04.933677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.822993Z digest=sha256:74c2994b738ed65ec5dfebf17c80c68e77fa690cbb0af37bc00350cf0a7411d3

Observation a90da14a-f9af-4610-89d1-f06214a8244f · outbound

This paper cites Learning Transferable Visual Models From Natu- ral Language Supervision,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Learning Transferable Visual Models From Natu- ral Language Supervision,

Reference 36

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raw_fallback, observed 2026-08-16T01:01:04.920299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.828145Z digest=sha256:9485b39cf2997c73a5a8d6d016560b9b74cf09ceca9bcbb7e58bb2f4fa5fcf2c

Observation b9de9066-9e00-4921-a7f0-f6f784bcc384 · outbound

This paper cites SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant

Reference 37

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local_arxiv, observed 2026-08-16T01:01:04.296944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.832597Z digest=sha256:62340ee23508eaaecacb2f335d6202e1ce24b8b85ce268a9da9b77ee4765ef54

Observation c438f856-5639-4256-962b-921795efe0a6 · outbound

This paper cites Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality,

Reference 38

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raw_fallback, observed 2026-08-16T01:01:04.907073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.836772Z digest=sha256:5e43d4114504ed3f8a4b26c52aa461e3ee8a9b5ab4d41d4bf435ca261cc028fe

Observation c84ea93f-e058-4e7d-9bc2-a68ccd9dec27 · outbound

This paper cites Mistral 7B.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Mistral 7B

Reference 39

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no resolver link, observed 2026-08-16T01:01:03.841315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:03.841315Z digest=sha256:57139d46af6ee88f10c0b61b965986fc1d103ee9c22fc9a2b44990a2e7e62eb9

Observation b9d520cf-98ea-46c4-8c1d-f211de7713db · outbound

This paper cites GloVe: Global Vec- tors for Word Representation,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks GloVe: Global Vec- tors for Word Representation,

Reference 40

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raw_fallback, observed 2026-08-16T01:01:04.894858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.845433Z digest=sha256:fcaadcee31df6b4d69532bf9f527774b593ace0128b83ec39a765fdb07258968

Observation d4f91648-f7b5-4e05-afab-d8f299234112 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks LLaMA: Open and Efficient Foundation Language Models

Reference 41

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unresolved
no resolver link, observed 2026-08-16T01:01:03.849755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:03.849755Z digest=sha256:e5993b9959e4eaf93d20cffb5f4cb5cac0bc7c53b45025d3178a96c9e4287a50

Observation 5b74ac38-e830-468f-a941-ae1a69344cba · outbound

This paper cites LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images

Reference 42

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no resolver link, observed 2026-08-16T01:01:03.854216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:03.854216Z digest=sha256:cdad26b32ce449c99de3d2898493aec4f0219cba534573b0bd003136440469de

Observation 3039ae7b-aee9-4c6a-9cf0-a747a274160b · outbound

This paper cites Visual Instruction Tuning.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Visual Instruction Tuning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:03.858368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:03.858368Z digest=sha256:a751961885e5a9e0dea01f0758c121d7cdde40038e518577e5f3787bcec40990

Observation f6b6f430-1c10-492e-81c3-3f81ddb3eee9 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 44

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no resolver link, observed 2026-08-16T01:01:03.863584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:03.863584Z digest=sha256:0cd0c5a53435ac88d49231e11e1949cc481a5bc4f3b4b2b6fae941901fb792b1

Observation ea30bec3-3971-48ec-be89-d9fe2c181b89 · outbound

This paper cites MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:03.868050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:03.868050Z digest=sha256:5803e921b58376f1e559a32dc21f0c2cd4219850585fd9fc10e5ed65aa1c0825

Observation 7ec4ef43-8dcf-4ecf-b56e-9c0447faa678 · outbound

This paper cites LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:03.872422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:03.872422Z digest=sha256:523c11cafc3ada33e83a6e21232a239cd7321bb10bbbc85d58c19f82e5c1d07b

Observation fbcff161-4443-46ec-a205-be8f6485813e · outbound

This paper cites PB-LLM: Partially Binarized Large Language Models.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks PB-LLM: Partially Binarized Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:03.876505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:03.876505Z digest=sha256:db844966d39f81d96845484699b9fc1486f503f55d9aaae9816b7dfb19b039ae

Observation 74ce9f40-d663-4b62-8fa2-417819dae0b8 · outbound

This paper cites LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models,

Reference 48

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no resolver link, observed 2026-08-16T01:01:03.880629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:03.880629Z digest=sha256:2cb08297827af150ffb57cb4ebf550fe69dace23b9fe8a9ba6db45e7a4533e3d

Observation 12632d04-0571-4ca0-9fcf-d843f1d092ec · outbound

This paper cites ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:03.884623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:03.884623Z digest=sha256:4eb64ea215946f32d1df3cfc9a42e68192b1d91e51ca9e43b897555b392d763b

Observation 302fa6bd-29d5-4a5e-8a9a-c1ee4fdf9335 · outbound

This paper cites A Convnet for the 2020s,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks A Convnet for the 2020s,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:04.881101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.889193Z digest=sha256:5d0e14fc671c8c0591bdf5f4116ab177b784a306721552b88386063e6ffabbd0

Observation b00d4ab8-4b86-48a6-bdd1-69e897c0d220 · outbound

This paper cites Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:04.866657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.893005Z digest=sha256:59c07187f4b6ede1d71ac953c8d15ead099118c0063e8d051084ed274e5fd382

Observation 09b28c67-70cc-4674-ac0d-11b3d2dc226f · outbound

This paper cites Generative AI-driven Semantic Communication Networks: Architecture, Technologies and Applications,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Generative AI-driven Semantic Communication Networks: Architecture, Technologies and Applications,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:04.853379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.896963Z digest=sha256:a9fd66841a0aaf4090a27cd21ceaae840cff988316f3be4dfd8eed570cae18ae

Observation 44a916ab-b1af-4a13-a922-8c7a14bd0954 · outbound

This paper cites Semantic Communication With Memory,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Semantic Communication With Memory,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:04.840452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.901308Z digest=sha256:13e96e6a186f45d73242f78164d3d091d1238094582750bc288116873703972e

Observation 1cb11a28-2fd8-4991-9563-086e6ce3f584 · outbound

This paper cites The Cost of Cortical Computation,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks The Cost of Cortical Computation,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:04.827739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.905126Z digest=sha256:5c353cab1be345b782e3bd89103eea2769d3cac0a474b3223fb94bdb90358889

Observation 19c0c00e-fd8e-476f-a922-ace67ce3d63a · outbound

This paper cites Saliency Guided DNL-Yolo for Optical Remote Sensing Images for Off-Shore Ship Detection,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Saliency Guided DNL-Yolo for Optical Remote Sensing Images for Off-Shore Ship Detection,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:04.813633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.908936Z digest=sha256:896faaf4f7fc2306b3b3f1a184d8bcf2230b154fbbc43d895bac64c865dbd879

Observation 24875e11-a9a5-47a8-9cce-a91c517a9df0 · outbound

This paper cites Utilising Visual Attention Cues for Vehicle Detection and Tracking,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Utilising Visual Attention Cues for Vehicle Detection and Tracking,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:04.799625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.912907Z digest=sha256:78d082889278fd9c7bb957b5b021ccd296aa8e850553aa64d88003edfe2c0efc

Observation 2df10363-c984-41e4-a363-1edf41b6600a · outbound

This paper cites DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:04.785734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.917055Z digest=sha256:1ca51e814a85e5ba2087f406628d1541df0ead69d4dbc9e8c145c88161ea09f8

Observation 094e7876-e0d3-461d-a715-7379dc733272 · outbound

This paper cites DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:04.769805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.921115Z digest=sha256:f30fddc9792ad2c8362ad15f9cb954854c9828cdeae3000aecabf366674112ec

Observation d74a84f4-c0ea-4dff-99f8-1d8ff8421558 · outbound

This paper cites SalGAN: Visual Saliency Prediction with Generative Adversarial Networks.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:03.924812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:03.924812Z digest=sha256:7dea7438b99719c482a5ab2e6ba5543cf527f203ba743022d36502206cacaae0

Observation 2f32cc66-d570-4e33-aa91-6afe47732149 · outbound

This paper cites SATSal: A Multi-level Self-Attention Based Architecture for Visual Saliency Prediction,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks SATSal: A Multi-level Self-Attention Based Architecture for Visual Saliency Prediction,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:04.757050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.929389Z digest=sha256:bc8a12007fec6f186a29fdaf215deba710016bf80fce3196c227d57d9d3cf29e

Observation f2277a13-f66a-404f-926b-c3a5ff5e024e · outbound

This paper cites Personalized Saliency and Its Prediction,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Personalized Saliency and Its Prediction,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:04.744725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.933117Z digest=sha256:77649678472a1a7cce374e93bf5ba2a9ad037d0fb317a8ebef83f9c10601fd41

Observation 0ce50650-47f0-4fd2-bc92-b6b25fd501d8 · outbound

This paper cites Sigmoid Loss for Language Image Pre-Training,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Sigmoid Loss for Language Image Pre-Training,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:04.730910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.936712Z digest=sha256:ba3e36f9fcbb062439def0247ead8025338b91edcee4aac7e27fea846d565e81

Observation 827efcf2-73b3-4f02-85ad-5669c7d6a2d6 · outbound

This paper cites Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models

Reference 63

Resolution
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no resolver link, observed 2026-08-16T01:01:03.940569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:03.940569Z digest=sha256:a32516ab4815987a5ad817abc49a7a069716309f731b26bbacddc04846a945e2

Observation eb26bb9a-738c-443b-a130-16426d51dcb6 · outbound

This paper cites A Text Feature Based Automatic Keyword Ex- traction Method for Single Documents,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks A Text Feature Based Automatic Keyword Ex- traction Method for Single Documents,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:04.716237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.944453Z digest=sha256:43ec2b7ca80673a9601f772596d6736bbc94d232eebaf9ba430fbd23ea7406e5

Observation e3201725-8b01-4125-a0f5-0664e4a59f82 · outbound

This paper cites YOLO by Ultralytics,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks YOLO by Ultralytics,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:04.701402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.948218Z digest=sha256:ae77d2e0d2ee7635b4a0a11806aa4dd6cdd14d492f3eac3e370687dfe9452762

Observation 59f1fad7-7fd9-4b57-99bf-6c1d77a9b5e9 · outbound

This paper cites Exploring Attention-Aware Network Resource Allocation for Customized Metaverse Services,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Exploring Attention-Aware Network Resource Allocation for Customized Metaverse Services,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:04.687279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.952673Z digest=sha256:c9945166de962595d80ec80176bc5e986bd7358fc99f45a271d9da197f2098bf

Observation 5e34787f-0775-4599-b3f3-887fcc1d17fc · outbound

This paper cites Intrinsic and Extrinsic Effects on Image Memorability,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Intrinsic and Extrinsic Effects on Image Memorability,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:04.672394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.956444Z digest=sha256:a6177dde2524509be40a5fa62eb814ec94f8510e6ecf3f3656a1368c793a2fb9

Observation 7c05979e-4658-4aab-b772-5abe24184c0b · outbound

This paper cites Learning to pre- dict where humans look,.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Learning to pre- dict where humans look,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:04.658454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:01:03.961268Z digest=sha256:cea075e983eacc46a694fe3c9c676dcb7844408d891396ca3ec7a61f8bb57093

Observation 29a50412-64e9-4452-93a7-9e3fee448e62 · outbound

This paper cites LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:03.964994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:03.964994Z digest=sha256:c6b7772270a5f271f7e364e1f31828b11d1eed53804431d4d0743ee3d2874729

Observation f3880486-3c7f-4d08-a9e4-579525bd87bf · outbound

This paper cites Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs

Reference 70

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unresolved
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Observation f789ca4d-df50-41af-97bb-bae73e6ff6b2 · outbound

This paper cites Available: https://doi.org/10.1162/tacl a 00704.

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks Available: https://doi.org/10.1162/tacl a 00704

Reference 2024

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Pith citing papers

Observation b70d1d67-1807-423f-8144-f35ce3be9971 · inbound

LLM-Enhanced Space-Air-Ground-Sea Integrated Networks cites this paper.

LLM-Enhanced Space-Air-Ground-Sea Integrated Networks Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks

Reference 15

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