Paper Citation Record · LEDGER

Automated Modeling Method for Pathloss Model Discovery

As of 6 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2505.23383.

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

pith.paper-citation-record.v1
2505.23383 v4

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T13:15:30.397890Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:18:36.413925Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

verified exact4
verified fuzzy42
unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d35bd381-953a-49fc-bb86-35c65887c006 · outbound

This paper cites Highly accurate protein structure prediction with AlphaFold.

Automated Modeling Method for Pathloss Model Discovery Highly accurate protein structure prediction with AlphaFold

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.082777Z

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Observation 67297346-102f-4819-87bd-304498a053c8 · outbound

This paper cites Symbolic regression of implicit equations.

Automated Modeling Method for Pathloss Model Discovery Symbolic regression of implicit equations

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.080573Z

Source-reported events for the cited work

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Observation e2c2713c-ccc7-4a14-9cf2-98ecbf2ae392 · outbound

This paper cites Data-driven discovery of Tsallis-like distri- bution using symbolic regression in high-energy physics.

Automated Modeling Method for Pathloss Model Discovery Data-driven discovery of Tsallis-like distri- bution using symbolic regression in high-energy physics

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.014134Z

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Observation 912ce34f-1a36-4a3c-a4b2-6fdcccbabc71 · outbound

This paper cites AI-based approaches for improving autonomous mobile robot localization in indoor environments: A com- prehensive review.

Automated Modeling Method for Pathloss Model Discovery AI-based approaches for improving autonomous mobile robot localization in indoor environments: A com- prehensive review

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.043790Z

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Observation 301331f4-29c9-464c-a60f-474c9e3c8a27 · outbound

This paper cites Machine learning assists IoT localization: A review of current challenges and future trends.

Automated Modeling Method for Pathloss Model Discovery Machine learning assists IoT localization: A review of current challenges and future trends

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.064000Z

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Observation e2a6e4ae-9e10-4d3e-940b-ea432e6a5909 · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

Automated Modeling Method for Pathloss Model Discovery The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-19T13:17:18.448976Z

Source-reported events for the cited work

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Observation 316b0acf-bfb4-4407-9fc1-59aaf12c3cd7 · outbound

This paper cites Interpretable scientific discovery with symbolic regression: A review.

Automated Modeling Method for Pathloss Model Discovery Interpretable scientific discovery with symbolic regression: A review

Reference 7

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Observation 07a0ab40-3f89-43ab-9fad-e3fbaab51e48 · outbound

This paper cites Genetic programming as a means for programming com- puters by natural selection.

Automated Modeling Method for Pathloss Model Discovery Genetic programming as a means for programming com- puters by natural selection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:18.999119Z

Source-reported events for the cited work

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Observation b8741600-82cf-4766-b8d6-9960b89514d7 · outbound

This paper cites Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients.

Automated Modeling Method for Pathloss Model Discovery Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.001190Z

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Observation e955af15-ca2b-4299-a48f-ffcceba5733f · outbound

This paper cites A survey of wireless path loss prediction and coverage mapping methods.

Automated Modeling Method for Pathloss Model Discovery A survey of wireless path loss prediction and coverage mapping methods

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.047063Z

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Observation 2e213330-a087-4666-8824-bc0b0a4aadfd · outbound

This paper cites Investigation of prediction accuracy, sensitivity, and parameter stability of large-scale propagation path loss models for 5G wireless communications.

Automated Modeling Method for Pathloss Model Discovery Investigation of prediction accuracy, sensitivity, and parameter stability of large-scale propagation path loss models for 5G wireless communications

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.028696Z

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Observation 99cc027a-f13f-4660-bb9f-3830a2462a6e · outbound

This paper cites Machine learning-based path loss mod- eling with simplified features.

Automated Modeling Method for Pathloss Model Discovery Machine learning-based path loss mod- eling with simplified features

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.058875Z

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Observation b7092385-53c3-41d0-9fff-7bff88425688 · outbound

This paper cites Multi-slope path loss model-based performance assessment of heterogeneous cellular network in 5G.

Automated Modeling Method for Pathloss Model Discovery Multi-slope path loss model-based performance assessment of heterogeneous cellular network in 5G

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.034300Z

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Observation 21971373-5c83-4624-8c79-5480ed3fb359 · outbound

This paper cites Molecular absorption effect: A double-edged sword of terahertz communications.

Automated Modeling Method for Pathloss Model Discovery Molecular absorption effect: A double-edged sword of terahertz communications

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.040196Z

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Observation 0623501a-3613-4ec7-88ef-bfb65ea52f2b · outbound

This paper cites Meta-PL: Path loss prediction of LTE networks at sparse measurement areas using meta-learning.

Automated Modeling Method for Pathloss Model Discovery Meta-PL: Path loss prediction of LTE networks at sparse measurement areas using meta-learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.022850Z

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Observation 25d9d73a-fb42-4986-b6ef-9341d512ad31 · outbound

This paper cites Explainable AI (XAI): Core ideas, techniques, and solutions.

Automated Modeling Method for Pathloss Model Discovery Explainable AI (XAI): Core ideas, techniques, and solutions

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.018224Z

Source-reported events for the cited work

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Observation dbb7effe-5c71-40b5-ac86-00bdc41172f0 · outbound

This paper cites Evolving scientific discovery by unifying data and background knowl- edge with AI Hilbert.

Automated Modeling Method for Pathloss Model Discovery Evolving scientific discovery by unifying data and background knowl- edge with AI Hilbert

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:18.994065Z

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Observation 45f23683-4acc-4428-9652-2bc1702e7fdb · outbound

This paper cites DEAP: Evolutionary algorithms made easy.

Automated Modeling Method for Pathloss Model Discovery DEAP: Evolutionary algorithms made easy

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.016168Z

Source-reported events for the cited work

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Observation 4a4b1a6a-8a95-423c-8a39-bd1bd7d9cfd1 · outbound

This paper cites The inefficiency of genetic programming for symbolic regression.

Automated Modeling Method for Pathloss Model Discovery The inefficiency of genetic programming for symbolic regression

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:18.996843Z

Source-reported events for the cited work

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Observation e3764949-6744-4cfa-8124-7158e8a9eacd · outbound

This paper cites Symbolic regression via neural-guided genetic programming population seeding.

Automated Modeling Method for Pathloss Model Discovery Symbolic regression via neural-guided genetic programming population seeding

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.061446Z

Source-reported events for the cited work

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Observation 6b0d3062-ae86-4677-8f34-1bae2fba64ec · outbound

This paper cites Guiding deep molecular opti- mization with genetic exploration.

Automated Modeling Method for Pathloss Model Discovery Guiding deep molecular opti- mization with genetic exploration

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.078119Z

Source-reported events for the cited work

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Observation 654cc08a-020a-45d7-b12d-c0c33e96cc6e · outbound

This paper cites Operator adaptation in evolutionary computa- tion and its application to structure optimization of neural networks.

Automated Modeling Method for Pathloss Model Discovery Operator adaptation in evolutionary computa- tion and its application to structure optimization of neural networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.049806Z

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Observation 1970f2ab-eabd-4fd6-9ee8-5e2731e3ee8e · outbound

This paper cites Faster genetic programming based on local gradient search of numeric leaf values.

Automated Modeling Method for Pathloss Model Discovery Faster genetic programming based on local gradient search of numeric leaf values

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.055921Z

Source-reported events for the cited work

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Observation 7042eee0-e0db-4a14-b855-ee5fe33426e5 · outbound

This paper cites CEM-RL: Combining evolutionary and gradient-based methods for policy search.

Automated Modeling Method for Pathloss Model Discovery CEM-RL: Combining evolutionary and gradient-based methods for policy search

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.007327Z

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Observation 77038ec7-e7ef-4131-8a29-5b257cda7521 · outbound

This paper cites Evolution-guided policy gradient in rein- forcement learning.

Automated Modeling Method for Pathloss Model Discovery Evolution-guided policy gradient in rein- forcement learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.084859Z

Source-reported events for the cited work

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Observation 9dc48e0d-28d7-4a56-8e20-b43996742971 · outbound

This paper cites Grammar variational autoencoder.

Automated Modeling Method for Pathloss Model Discovery Grammar variational autoencoder

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.005194Z

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Observation 5295f754-a0ff-49b3-b00d-1dcd3cc0d04d · outbound

This paper cites Learning equations for extrapo- lation and control.

Automated Modeling Method for Pathloss Model Discovery Learning equations for extrapo- lation and control

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.067012Z

Source-reported events for the cited work

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Observation 1eb06a77-38b6-439c-b504-1487aa32fe12 · outbound

This paper cites AI Feynman: A physics-inspired method for symbolic regression.

Automated Modeling Method for Pathloss Model Discovery AI Feynman: A physics-inspired method for symbolic regression

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.003370Z

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Observation 436df663-a85b-4282-8afe-5b6d06dd9dbe · outbound

This paper cites Importance sampling for stochastic simulations.

Automated Modeling Method for Pathloss Model Discovery Importance sampling for stochastic simulations

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.052531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5e72a8d7-4eef-4b36-a231-f89bdec7432e · outbound

This paper cites A tutorial on the cross-entropy method.

Automated Modeling Method for Pathloss Model Discovery A tutorial on the cross-entropy method

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.031348Z

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Observation ccf3b36f-b602-48ba-8edc-b5cbe2896dfc · outbound

This paper cites KAN: Kolmogorov-Arnold networks.

Automated Modeling Method for Pathloss Model Discovery KAN: Kolmogorov-Arnold networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:18.986076Z

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Observation 81c60a13-7ab2-4d56-b551-5a1f6abdcece · outbound

This paper cites Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability.

Automated Modeling Method for Pathloss Model Discovery Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:17:18.458634Z

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Observation 41a944fe-e334-4b23-8148-e5481e216a8c · outbound

This paper cites Kolmogorov-Arnold Graph Neural Networks.

Automated Modeling Method for Pathloss Model Discovery Kolmogorov-Arnold Graph Neural Networks

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:17:18.439761Z

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Observation 88b1b842-5efa-4e6a-ae58-061638d961e5 · outbound

This paper cites Wav-KAN: Wavelet Kolmogorov-Arnold Networks.

Automated Modeling Method for Pathloss Model Discovery Wav-KAN: Wavelet Kolmogorov-Arnold Networks

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T13:17:18.454300Z

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Observation d0a12f10-6649-4726-9dd9-0aaa7fb411df · outbound

This paper cites KAN 2.0: Kolmogorov-Arnold Networks Meet Science.

Automated Modeling Method for Pathloss Model Discovery KAN 2.0: Kolmogorov-Arnold Networks Meet Science

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T13:17:18.443773Z

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Observation 8cea7cfc-686e-460e-9f48-b255126fcc44 · outbound

This paper cites Towards automated and interpretable pathloss approximation methods.

Automated Modeling Method for Pathloss Model Discovery Towards automated and interpretable pathloss approximation methods

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:18.991243Z

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Observation 5bbca463-d0d8-4982-9567-787adae8b360 · outbound

This paper cites Analytical expression for recommendation ITU-R P.1546-6 propagation curves of land paths up to 20 km using symbolic regression.

Automated Modeling Method for Pathloss Model Discovery Analytical expression for recommendation ITU-R P.1546-6 propagation curves of land paths up to 20 km using symbolic regression

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.020446Z

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Observation 9d4ca5eb-cf9a-488f-9ba7-dcfad49ff64d · outbound

This paper cites Kan-based interpretable radio map prediction framework with symbolic data fusion.

Automated Modeling Method for Pathloss Model Discovery Kan-based interpretable radio map prediction framework with symbolic data fusion

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.025440Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1e29a443-76ec-4a77-8fdb-c1fd6f6e64fc · outbound

This paper cites Explainable AI in 6G O-RAN: A tutorial and survey on architecture, use cases, challenges, and future research.

Automated Modeling Method for Pathloss Model Discovery Explainable AI in 6G O-RAN: A tutorial and survey on architecture, use cases, challenges, and future research

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:18.988804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5f706848-aff1-4188-ab65-7f35b76f6df1 · outbound

This paper cites Propagation path loss models for 5G urban micro- and macro-cellular scenarios.

Automated Modeling Method for Pathloss Model Discovery Propagation path loss models for 5G urban micro- and macro-cellular scenarios

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.011942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f6031f21-d40f-4412-9c59-c42bb6b610ee · outbound

This paper cites LoRaW AN network: Radio propagation models and performance evaluation in various environments in Lebanon.

Automated Modeling Method for Pathloss Model Discovery LoRaW AN network: Radio propagation models and performance evaluation in various environments in Lebanon

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.009811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9dac01f2-da74-4af0-a0df-c261bbfa7b06 · outbound

This paper cites Simple statistical gradient-following algorithms for connectionist reinforcement learning.

Automated Modeling Method for Pathloss Model Discovery Simple statistical gradient-following algorithms for connectionist reinforcement learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:18.983716Z

Source-reported events for the cited work

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Observation 48498a76-2b9f-42f6-98e0-b7e12bd99db2 · outbound

This paper cites Neural Program Synthesis with Priority Queue Training.

Automated Modeling Method for Pathloss Model Discovery Neural Program Synthesis with Priority Queue Training

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-19T13:17:18.463733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4da7417c-b8e9-4619-aa5e-c67a89d11faa · outbound

This paper cites Comparison of path loss models for indoor 30 GHz, 140 GHz, and 300 GHz channels.

Automated Modeling Method for Pathloss Model Discovery Comparison of path loss models for indoor 30 GHz, 140 GHz, and 300 GHz channels

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:18.981027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 916e3710-dcfb-4588-bfff-3839b5237c40 · outbound

This paper cites The energy cost of artificial intelligence lifecycle in communication networks.

Automated Modeling Method for Pathloss Model Discovery The energy cost of artificial intelligence lifecycle in communication networks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:18.978778Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6b64ff4f-be62-4e80-87fd-c7096f1639f9 · outbound

This paper cites Revisiting deep learning models for tabular data.

Automated Modeling Method for Pathloss Model Discovery Revisiting deep learning models for tabular data

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:18.976477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6218716f-77d4-4027-a692-20a9f13ef86d · outbound

This paper cites Tabnet: Attentive interpretable tabular learning.

Automated Modeling Method for Pathloss Model Discovery Tabnet: Attentive interpretable tabular learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.074927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 500b9513-5126-418d-80db-343165b4d8b8 · outbound

This paper cites Calibration of ray-tracing with diffuse scattering against 28-GHz directional urban channel measurements.

Automated Modeling Method for Pathloss Model Discovery Calibration of ray-tracing with diffuse scattering against 28-GHz directional urban channel measurements

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:17:19.087011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 82a41cc3-8d43-4faa-816e-783c6c993f2c · inbound

SABER: Symbolic Regression-based Angle of Arrival and Beam Pattern Estimator cites this paper.

SABER: Symbolic Regression-based Angle of Arrival and Beam Pattern Estimator Automated Modeling Method for Pathloss Model Discovery

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T07:18:36.413925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.