Paper Citation Record · LEDGER

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design

As of 11 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.01772.

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

pith.paper-citation-record.v1
2607.01772 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-03T16:19:57.471814Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

22 of 22 outbound references displayed

verified exact1
verified fuzzy21
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f5ad85fb-df19-4c19-b40e-0dddb1cdcfc8 · outbound

This paper cites BEVFormer: Learning Bird’s-Eye-View Representation From LiDAR– Camera via Spatiotemporal Transformers,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design BEVFormer: Learning Bird’s-Eye-View Representation From LiDAR– Camera via Spatiotemporal Transformers,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:30:44.404246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b92810e8-ee04-4d26-a114-db1008141a1f · outbound

This paper cites Radar–Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design Radar–Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:30:44.406078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation efebfec4-b6ef-44af-84e5-20ae43013403 · outbound

This paper cites CRAFT: Camera–Radar 3D Object Detection with Spatio–Contextual Fusion Transformer,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design CRAFT: Camera–Radar 3D Object Detection with Spatio–Contextual Fusion Transformer,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:30:44.400064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e528d232-34cd-4a94-b2b3-6530e86baef9 · outbound

This paper cites CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:30:44.397982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5d719f08-e60b-4dfd-899b-138122928a4a · outbound

This paper cites MVFusion: Multi- View 3D Object Detection with Semantic-Aligned Radar and Camera Fusion,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design MVFusion: Multi- View 3D Object Detection with Semantic-Aligned Radar and Camera Fusion,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:30:44.402191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fe8f627c-c8ce-4c7f-b4e9-880fc748a851 · outbound

This paper cites Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communica- tion,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communica- tion,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:40:43.541426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8834ecc7-9da7-4c5b-96bf-9ba847d6007e · outbound

This paper cites GPT-Driver: Learning to Drive with GPT,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design GPT-Driver: Learning to Drive with GPT,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:40:43.536382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4065cd4f-973e-48eb-8d8c-e171325b61e0 · outbound

This paper cites DriveLLM: Charting the Path Toward Full Au- tonomous Driving with Large Language Models,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design DriveLLM: Charting the Path Toward Full Au- tonomous Driving with Large Language Models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:40:43.521440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f67d1b62-1549-4af9-9519-3933f777f9aa · outbound

This paper cites A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:28:38.441713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3bf3d078-f92f-47a8-b62e-2a85b5ba7e39 · outbound

This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision–Language Models,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design DriveVLM: The Convergence of Autonomous Driving and Large Vision–Language Models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:40:43.523801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5df846bd-2698-4b7c-8e67-b74754ba0241 · outbound

This paper cites Planning-Oriented Autonomous Driving,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design Planning-Oriented Autonomous Driving,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:40:43.539175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0e9dca0c-cc1f-4427-8843-9d4e233a5db8 · outbound

This paper cites LLM4Drive: A Survey of Large Language Models for Autonomous Driving,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design LLM4Drive: A Survey of Large Language Models for Autonomous Driving,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:40:43.531757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1daffaea-2002-4da3-b43b-7fdeeac303da · outbound

This paper cites SIMAC: A Semantic-Driven Integrated Multimodal Sensing and Communication Framework,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design SIMAC: A Semantic-Driven Integrated Multimodal Sensing and Communication Framework,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:40:43.531917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1697105e-297b-4a9c-b092-1288cf3e569a · outbound

This paper cites nuScenes: A Multimodal Dataset for Autonomous Driving,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design nuScenes: A Multimodal Dataset for Autonomous Driving,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:30:44.398772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8b4aed7d-256a-4e3e-a3d7-a66e05b6e498 · outbound

This paper cites A Large-Scale Benchmark Dataset for Event Recognition in Surveillance Video,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design A Large-Scale Benchmark Dataset for Event Recognition in Surveillance Video,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:30:44.414764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6ca552eb-f9f3-4708-8aed-3b1da26d5f88 · outbound

This paper cites A Tutorial on 5G NR V2X Communications,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design A Tutorial on 5G NR V2X Communications,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:30:44.400498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4b980aa7-5a9d-41d1-b05e-8135b870a560 · outbound

This paper cites Automotive Radars: A Review of Signal Processing Techniques,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design Automotive Radars: A Review of Signal Processing Techniques,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:40:43.533980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6825131d-955a-4448-acef-16ab7312810d · outbound

This paper cites WDMoE: Wireless Distributed Mixture of Experts for Large Language Models,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design WDMoE: Wireless Distributed Mixture of Experts for Large Language Models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:40:43.529308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 910be659-3971-418e-87c5-5b0fdfe594b7 · outbound

This paper cites The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:30:44.394600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 94a5f8bc-084e-4f50-81f1-15a5c0ed264b · outbound

This paper cites Graph-Based Spatial Transformer with Memory Replay for Multi-Future Pedestrian Trajectory Predic- tion,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design Graph-Based Spatial Transformer with Memory Replay for Multi-Future Pedestrian Trajectory Predic- tion,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:30:44.410470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 66f89202-809d-43a8-801f-fe1a62e9d98e · outbound

This paper cites SimAug: Learning Robust Representations from Simulation for Trajectory Prediction,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design SimAug: Learning Robust Representations from Simulation for Trajectory Prediction,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:30:44.408369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 760258a0-0c89-4d1e-9ee5-8f2f7468aadc · outbound

This paper cites CenterFusion: Center-Based Radar and Camera Fusion for 3D Object Detection,.

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design CenterFusion: Center-Based Radar and Camera Fusion for 3D Object Detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:30:44.412430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.