Paper Citation Record · LEDGER

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines

As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2506.06346.

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

pith.paper-citation-record.v1
2506.06346 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:55:13.090832Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

28 of 28 outbound references displayed

verified exact0
verified fuzzy24
unresolved4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6475dd77-f5f8-4527-bdf9-0968fad8eb5d · outbound

This paper cites A nonlinear dynamics method using multi-sensor signal fusion for fault diagnosis of rotating machinery,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines A nonlinear dynamics method using multi-sensor signal fusion for fault diagnosis of rotating machinery,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:15.243198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8756c75b-7e27-447b-8c6c-bf5fe49618f6 · outbound

This paper cites Tensor poincar´e plot index: A novel nonlinear dynamic method for extracting abnormal state information of pumped storage units,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Tensor poincar´e plot index: A novel nonlinear dynamic method for extracting abnormal state information of pumped storage units,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:15.170897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f320b63-727e-4beb-b15b-8a6180e646ca · outbound

This paper cites Railway automatic switch stationary contacts wear detection under few-shot occasions,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Railway automatic switch stationary contacts wear detection under few-shot occasions,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:15.091606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b1d64585-0b43-441a-ae67-4ff66f9370bd · outbound

This paper cites Accurate modeling of railway turnout systems and high-precision state estimation methods,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Accurate modeling of railway turnout systems and high-precision state estimation methods,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:11.906355Z

Source-reported events for the cited work

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Observation e71758c4-4ec5-4bc5-bdeb-0e8f6e63d6f4 · outbound

This paper cites Data-driven technology of fault diagnosis in railway point machines: Review and challenges,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Data-driven technology of fault diagnosis in railway point machines: Review and challenges,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:15.003347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 92233100-8f5d-46da-807b-2dc6142ef5c2 · outbound

This paper cites A novel fault diagnosis model based on deep feature fusion network under imbalanced data: towards railway dual-switch machines traction occasion,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines A novel fault diagnosis model based on deep feature fusion network under imbalanced data: towards railway dual-switch machines traction occasion,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:14.901757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 67b9a41a-60dc-4878-aaeb-9812b165a83e · outbound

This paper cites Vibration signal-based fault diagnosis of railway point machines via double-scale cnn,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Vibration signal-based fault diagnosis of railway point machines via double-scale cnn,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:14.837301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation afd88fc2-5c22-4911-a0e7-edbfe911f789 · outbound

This paper cites Fault detection for point machines: A review, challenges, and perspectives,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Fault detection for point machines: A review, challenges, and perspectives,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:14.728616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f0e9f8d5-ce34-4395-9215-6ae418bfde8e · outbound

This paper cites Tiny Machine Learn- ing for Damage Classification in Concrete Using Acoustic Emission Signals,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Tiny Machine Learn- ing for Damage Classification in Concrete Using Acoustic Emission Signals,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:14.633027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b0cb67c1-e49e-46bc-bbf3-eff1c7d3761e · outbound

This paper cites Tiny-Machine-Learning-Based Sup- ply Canal Surface Condition Monitoring,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Tiny-Machine-Learning-Based Sup- ply Canal Surface Condition Monitoring,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:14.538020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2ce07b13-b67e-48c3-8377-b6369d69a178 · outbound

This paper cites Railway switch machine fault diagnosis considering sensor abnormality scenarios,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Railway switch machine fault diagnosis considering sensor abnormality scenarios,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:14.443388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f2712b7f-1100-493f-8672-b1c7c60df61c · outbound

This paper cites Modified multi-scale symbolic dynamic entropy and fuzzy broad learning-based fast fault diagnosis of railway point machines,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Modified multi-scale symbolic dynamic entropy and fuzzy broad learning-based fast fault diagnosis of railway point machines,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:14.337609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6bdb763a-6638-454e-9279-0026ee5b9dc9 · outbound

This paper cites Multi-time-scale variational mode decomposition-based robust fault diagnosis of railway point machines under multiple noises,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Multi-time-scale variational mode decomposition-based robust fault diagnosis of railway point machines under multiple noises,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:14.257748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c77d1261-41b7-473d-8e6c-398d4668af27 · outbound

This paper cites Simultaneous fault diagnosis for sensor and railway point machine for autonomous rail system,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Simultaneous fault diagnosis for sensor and railway point machine for autonomous rail system,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:14.176305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5fb3f4b3-2c02-4f68-a8bb-4400b64e4c1d · outbound

This paper cites Leveraging Acoustic Emission and Machine Learning for Concrete Materials Damage Clas- sification on Embedded Devices,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Leveraging Acoustic Emission and Machine Learning for Concrete Materials Damage Clas- sification on Embedded Devices,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:14.107674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ac880b44-1522-4ccb-aa89-2ff3ac08aaca · outbound

This paper cites Compari- son of tiny machine learning techniques for embedded acoustic emission analysis,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Compari- son of tiny machine learning techniques for embedded acoustic emission analysis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:14.032819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d0c9809c-9974-4738-a6cd-e79aee52503b · outbound

This paper cites Enabling Autonomous Structural Inspections with Tiny Machine Learning on UA Vs,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Enabling Autonomous Structural Inspections with Tiny Machine Learning on UA Vs,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:13.949184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 61c395e6-761d-40e8-99ed-76238f12bea8 · outbound

This paper cites Survey of quantization techniques for on-device vision- based crack detection,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Survey of quantization techniques for on-device vision- based crack detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:13.867771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a2d07974-9764-4a59-a06f-ad5f3798483f · outbound

This paper cites A Lightweight Convolutional Neural Network Model for Concrete Damage Classification using Acoustic Emissions,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines A Lightweight Convolutional Neural Network Model for Concrete Damage Classification using Acoustic Emissions,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:13.801403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3018853-7f9c-4390-a4e3-5d4e696b1c11 · outbound

This paper cites Sepal: Sepsis alerts on low power wearables with digital biomarkers and on-device tiny machine learning,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Sepal: Sepsis alerts on low power wearables with digital biomarkers and on-device tiny machine learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:13.721656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b2e3d41c-ab15-49c2-9b9f-4e442a6af8af · outbound

This paper cites Msit: A cross-machine fault diagnosis model for machine-level cnc spindle motors,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Msit: A cross-machine fault diagnosis model for machine-level cnc spindle motors,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:13.644322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd3d7884-210c-43a1-96ce-d0fa5c3d7c58 · outbound

This paper cites Transformers in vision: A survey,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Transformers in vision: A survey,

Reference 22

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Source-reported events for the cited work

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Observation 162cb782-fd25-4561-b68d-2e55d457b4b4 · outbound

This paper cites Cfspt: A lightweight cross-machine model for compound fault diagnosis of machine-level motors,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Cfspt: A lightweight cross-machine model for compound fault diagnosis of machine-level motors,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:13.560143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 73609f14-b49a-43d7-ad2a-8b70d4c0b97a · outbound

This paper cites Liconvformer: A lightweight fault diagnosis framework using separable multiscale con- volution and broadcast self-attention,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Liconvformer: A lightweight fault diagnosis framework using separable multiscale con- volution and broadcast self-attention,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:13.489640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 99a2cfe7-745f-41be-a928-a21f8ea0b2c9 · outbound

This paper cites Convformer-nse: A novel end-to-end gearbox fault diagnosis framework under heavy noise using joint global and local information,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Convformer-nse: A novel end-to-end gearbox fault diagnosis framework under heavy noise using joint global and local information,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:13.406473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b8362bd1-4987-4e08-8c21-a8711738b58e · outbound

This paper cites Clformer: A lightweight transformer based on convolutional embed- ding and linear self-attention with strong robustness for bearing fault diagnosis under limited sample conditions,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Clformer: A lightweight transformer based on convolutional embed- ding and linear self-attention with strong robustness for bearing fault diagnosis under limited sample conditions,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:13.326341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f4b37f0-fb5f-4a87-a58a-d94d373e8fe0 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:13.030776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60340401-2070-4df5-aa22-6169eb082b56 · outbound

This paper cites Deep residual learning for image recognition,.

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines Deep residual learning for image recognition,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:13.090832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.