Paper Citation Record · LEDGER

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction

As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2608.04710.

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

pith.paper-citation-record.v1
2608.04710 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:27:23.675342Z

measured 34 of 34 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

34 of 34 outbound references displayed

verified exact1
verified fuzzy23
unresolved9
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 52fb3bec-b942-432c-bb47-6c7e31d1b8c8 · outbound

This paper cites Sionna: An Open-Source Library for Next-Generation Physical Layer Research.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:21.164524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8907992c-9dba-4c74-b331-94bc557408b3 · outbound

This paper cites an unresolved cited work.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction Unresolved cited work

Reference 2

Resolution: parse uncertain; no resolver link, observed 2026-08-06T18:27:21.271690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6dc9561-1c74-4c9c-b2c3-aa409283aa86 · outbound

This paper cites an unresolved cited work.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:27:27.351554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 46dea2af-8fb6-4230-98ca-4b820605cc64 · outbound

This paper cites an unresolved cited work.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:27:27.278823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 02d85f47-ce1a-48bc-b37e-2236b2ff4ee6 · outbound

This paper cites ”WiFi vision: Sensing, recognition, and detection with commodity MIMO-OFDM WiFi.” IEEE Internet of Things Journal 7.9 (2020): 8296-8317.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”WiFi vision: Sensing, recognition, and detection with commodity MIMO-OFDM WiFi.” IEEE Internet of Things Journal 7.9 (2020): 8296-8317

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:27.162919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 16e077a6-d30d-4549-8c3f-0611b6dac9e1 · outbound

This paper cites an unresolved cited work.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:27:27.062661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1cd5e064-7839-4cbc-9d88-f617c1eff4e5 · outbound

This paper cites an unresolved cited work.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:27:27.000065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0f456a5b-6eeb-4d5c-9640-e91b0830bee5 · outbound

This paper cites an unresolved cited work.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:27:26.890497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 696d1b22-07d6-4103-abe0-ce2bf2a7f2ec · outbound

This paper cites ”Contactless WiFi sensing and monitoring for future healthcare-emerging trends, challenges, and opportunities.” IEEE Re- views in Biomedical Engineering 16 (2022): 171-191.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”Contactless WiFi sensing and monitoring for future healthcare-emerging trends, challenges, and opportunities.” IEEE Re- views in Biomedical Engineering 16 (2022): 171-191

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:26.815563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a57cffa-43d8-4fe3-b8aa-8f58452d97f1 · outbound

This paper cites an unresolved cited work.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:27:26.713003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6f08291b-a64a-49ae-ba65-d62dd13373c5 · outbound

This paper cites ”Long short-term memory.” Neural computation 9.8 (1997): 1735-1780.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”Long short-term memory.” Neural computation 9.8 (1997): 1735-1780

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:22.423076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 472a6a4e-e82b-4d6a-bb44-5fb1b7900ac0 · outbound

This paper cites ”Integrated sensing and communication (ISAC)—From concept to practice.” Communications of Huawei Re- search (2022): 4-25.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”Integrated sensing and communication (ISAC)—From concept to practice.” Communications of Huawei Re- search (2022): 4-25

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:26.641815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b4a53ffe-b595-436d-9aec-2f97c33ec333 · outbound

This paper cites ”A unified future: Integrated sensing and communication (ISAC) in 6G.” IEEE Journal of Selected Topics in Electromagnetics, Antennas and Propagation (2025).

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”A unified future: Integrated sensing and communication (ISAC) in 6G.” IEEE Journal of Selected Topics in Electromagnetics, Antennas and Propagation (2025)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:26.542132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 626ccc8b-5286-4589-8752-e9c7eb0a255a · outbound

This paper cites Practical Issues and Challenges in CSI-based Integrated Sensing and Communication,.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction Practical Issues and Challenges in CSI-based Integrated Sensing and Communication,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:26.433156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5b20e9a7-636d-4302-9259-79787c61076c · outbound

This paper cites ”Architecture Considerations for ISAC in 6G.” 2025 IEEE Conference on Standards for Communications and Networking (CSCN).

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”Architecture Considerations for ISAC in 6G.” 2025 IEEE Conference on Standards for Communications and Networking (CSCN)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:26.351152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6e71d6ac-25e1-401a-9b43-bf701ad63526 · outbound

This paper cites ”A novel high-precision railway obstacle detection algorithm based on 3D LiDAR.” Sensors 24.10 (2024): 3148.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”A novel high-precision railway obstacle detection algorithm based on 3D LiDAR.” Sensors 24.10 (2024): 3148

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:26.245422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9998dff9-6c63-4fa4-bca1-016f5f09b6e9 · outbound

This paper cites ”Railway Intrusion Risk Quantification with Track Semantic Segmentation and Spatiotemporal Features.” Sensors 25.17 (2025): 5266.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”Railway Intrusion Risk Quantification with Track Semantic Segmentation and Spatiotemporal Features.” Sensors 25.17 (2025): 5266

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:26.170102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 943fb5f7-2712-4425-a03f-cc0477ab81bc · outbound

This paper cites ”Railway obstacle intrusion detection and risk assessment based on MSIA-YOLOv8 and DALNet.” Expert Systems with Applications (2025): 130132.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”Railway obstacle intrusion detection and risk assessment based on MSIA-YOLOv8 and DALNet.” Expert Systems with Applications (2025): 130132

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:26.061202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f2fcda74-bc70-4dc8-b262-1bc792b12479 · outbound

This paper cites an unresolved cited work.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:27:25.939914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c879444d-7dbb-407f-a410-e0ac0b07fa68 · outbound

This paper cites ”Prediction of degraded infrastructure conditions for railway operation.” Sensors 24.8 (2024): 2456.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”Prediction of degraded infrastructure conditions for railway operation.” Sensors 24.8 (2024): 2456

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:25.815977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a457dc39-0000-4b72-99c8-f9e52296633e · outbound

This paper cites ”Optuna: A next-generation hyperparameter opti- mization framework.” Proceedings of the 25th ACM SIGKDD interna- tional conference on knowledge discovery & data mining.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”Optuna: A next-generation hyperparameter opti- mization framework.” Proceedings of the 25th ACM SIGKDD interna- tional conference on knowledge discovery & data mining

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:25.691029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b4c2e049-39d9-4b2e-8d9e-9d4ba6123681 · outbound

This paper cites ”Robust Pedestrian Detection and Intrusion Judgment in Coal Yard Hazard Areas via 3D LiDAR-Based Deep Learning.” Sensors 25.18 (2025): 5908.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”Robust Pedestrian Detection and Intrusion Judgment in Coal Yard Hazard Areas via 3D LiDAR-Based Deep Learning.” Sensors 25.18 (2025): 5908

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:25.553077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 88bc6ac1-1857-4fc4-b54c-2fbbef71b483 · outbound

This paper cites ”Automatic detection of foreign object intrusion along railway tracks based on MACENet.” Plos one 20.8 (2025): e0329303.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”Automatic detection of foreign object intrusion along railway tracks based on MACENet.” Plos one 20.8 (2025): e0329303

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:25.428759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d05c8ba-4980-4ae3-9b5d-96fc7ca0f3ea · outbound

This paper cites ”AI-based Animal Intrusion Detection System for Human-Wildlife Conflicts in Bhutan.” Zorig Melong— A Technical Journal of Science, Engineering and Technology 8.1 (2025): 46-52.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”AI-based Animal Intrusion Detection System for Human-Wildlife Conflicts in Bhutan.” Zorig Melong— A Technical Journal of Science, Engineering and Technology 8.1 (2025): 46-52

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:25.347613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b6ae901a-9e24-4bb0-82b4-4dfe0135f174 · outbound

This paper cites ”BCD-YOLO: a railway perimeter foreign body intrusion detection method based on Yolov8.” Measurement Science and Technology 36.5 (2025): 056007.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”BCD-YOLO: a railway perimeter foreign body intrusion detection method based on Yolov8.” Measurement Science and Technology 36.5 (2025): 056007

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:25.272147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5028ab9c-805f-4a98-9a70-204df89936dd · outbound

This paper cites and Wei, S.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction and Wei, S

Reference 26

Resolution: verified exact; raw_fallback, observed 2026-08-06T18:27:23.880281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 87975e61-8df1-4d3d-95b3-eae85678d185 · outbound

This paper cites ”6G positioning and sensing through the lens of sustainability, inclusiveness, and trustworthiness.” IEEE Wireless Communications 32.1 (2025): 68-75.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”6G positioning and sensing through the lens of sustainability, inclusiveness, and trustworthiness.” IEEE Wireless Communications 32.1 (2025): 68-75

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:25.168078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b83d98cb-a1f5-494a-a054-140252d799a2 · outbound

This paper cites ”Sionna RT: Differentiable ray tracing for radio propagation modeling.” 2023 IEEE Globecom Workshops (GC Wkshps).

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”Sionna RT: Differentiable ray tracing for radio propagation modeling.” 2023 IEEE Globecom Workshops (GC Wkshps)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:25.015871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 725c21af-0990-4c65-baee-b260b4d60b24 · outbound

This paper cites ”A CSI-based human activity recognition using deep learning.” Sensors 21.21 (2021): 7225.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”A CSI-based human activity recognition using deep learning.” Sensors 21.21 (2021): 7225

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:24.845256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 03cfbe43-c1f6-457b-82fe-e1583f38522c · outbound

This paper cites ”KAN-Sense: Keypad input recogni- tion via CSI feature clustering and KAN-based classifier.” Electronics 14.15 (2025): 2965.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”KAN-Sense: Keypad input recogni- tion via CSI feature clustering and KAN-based classifier.” Electronics 14.15 (2025): 2965

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:24.669860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b64f78ad-f32d-4149-a165-e5e9fb2a8a3b · outbound

This paper cites ”A Subcarrier Selection Method for Wi-Fi-based Respiration Monitoring using IEEE 802.11 ac/ax Protocols.” 2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC).

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”A Subcarrier Selection Method for Wi-Fi-based Respiration Monitoring using IEEE 802.11 ac/ax Protocols.” 2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:24.409246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ccb7a6e7-dba9-429f-94fc-6ba1b8a1712f · outbound

This paper cites ”Integrated sensing and communications: Toward dual- functional wireless networks for 6G and beyond.” IEEE journal on selected areas in communications 40.6 (2022): 1728-1767.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”Integrated sensing and communications: Toward dual- functional wireless networks for 6G and beyond.” IEEE journal on selected areas in communications 40.6 (2022): 1728-1767

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:24.274016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d9451da5-8b8c-4143-8fa3-b838476f4fa3 · outbound

This paper cites ”3D convolutional neural networks for human action recognition.” IEEE transactions on pattern analysis and machine intelligence 35.1 (2012): 221-231.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”3D convolutional neural networks for human action recognition.” IEEE transactions on pattern analysis and machine intelligence 35.1 (2012): 221-231

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:24.117387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f78512f4-ecd9-4d96-b414-ed5676eb76c7 · outbound

This paper cites ”Machine learning in 6G wireless communications.” IEICE Transactions on Communications 106.2 (2023): 75-83.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction ”Machine learning in 6G wireless communications.” IEICE Transactions on Communications 106.2 (2023): 75-83

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:24.035786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.