Pith. sign in

Paper Citation Record · LEDGER

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection

As of 22 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.15441.

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

pith.paper-citation-record.v1
2607.15441 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:25:23.185600Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

18 of 18 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e1145a76-e236-4770-82f0-0603bb866327 · outbound

This paper cites 6G Wireless Communicati ons in 7–24 GHz Band: Opportunities, Techniques, and Challenges,.

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection 6G Wireless Communicati ons in 7–24 GHz Band: Opportunities, Techniques, and Challenges,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:21.210574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:25:21.210574Z digest=sha256:ed632ab43218be85ca19198a42b062f581dd74b74085185783dd563dfb8a8747

Observation d635748b-3374-4972-9e6b-f6033f467e17 · outbound

This paper cites Digital P redistortion Linearization Demystified: Insights Y ou Always Wanted to Kn ow but Were Too Linear to Ask,.

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection Digital P redistortion Linearization Demystified: Insights Y ou Always Wanted to Kn ow but Were Too Linear to Ask,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:21.288505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:25:21.288505Z digest=sha256:074c9e3a10eb47f5a919b3ede640eceacc075489a68515d7fc9bbcdd9ec96b7e

Observation ab2d7a9d-6588-4d94-b42d-195266ce5b4e · outbound

This paper cites A Gen eralized Memory Polynomial Model for Digital Predistortion of RF Pow er Amplifiers,.

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection A Gen eralized Memory Polynomial Model for Digital Predistortion of RF Pow er Amplifiers,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:21.375141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:25:21.375141Z digest=sha256:5ef2d0c7ec89e75662ae93b52f5d8b13d9b1f86ce3f460873148ea50aabb605d

Observation 2174ff06-1e68-4bda-bc18-94072ae2d2a8 · outbound

This paper cites Dynamic behavio ral modeling of 3G power amplifiers using real-valued time-delay neural n etworks,.

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection Dynamic behavio ral modeling of 3G power amplifiers using real-valued time-delay neural n etworks,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:21.459977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:25:21.459977Z digest=sha256:75e3bc509724064d1bf7b2621abd2606b6e45b62ab8a0b1a5b309a3d92819541

Observation 30bec0b6-b508-4320-b596-b5eed0439008 · outbound

This paper cites Dee p Neural Network-Based Digital Predistorter for Doherty Power Ampl ifiers,.

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection Dee p Neural Network-Based Digital Predistorter for Doherty Power Ampl ifiers,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:21.544642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:25:21.544642Z digest=sha256:bbdd811d2da70526da014859191d1c5061f6105b99b8ebce2a448b24332aa9dd

Observation 966499ed-7664-41d4-8738-8a2bec57cbc7 · outbound

This paper cites Next-Gen Digital P redistortion From Hardware Acceleration of Neural Networks: Trends, Cha llenges, and Future,.

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection Next-Gen Digital P redistortion From Hardware Acceleration of Neural Networks: Trends, Cha llenges, and Future,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:21.641723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:25:21.641723Z digest=sha256:656980c9304c42916100c4eeea84ceaf35668a88819cf58e976ddf1be026b691

Observation 2db70327-42cd-4676-8bb5-06e4b574be05 · outbound

This paper cites Res idual Neural Networks for Digital Predistortion,.

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection Res idual Neural Networks for Digital Predistortion,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:21.770138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:25:21.770138Z digest=sha256:761ec443b6ac8e977ff274f79f5abc0ce65725039576bd79d9f55825b1092d07

Observation 48747ee4-5a90-49c0-9032-b839f4fd6697 · outbound

This paper cites Phase- Normalized Neural Network for Linearization of RF Power Amp lifiers,.

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection Phase- Normalized Neural Network for Linearization of RF Power Amp lifiers,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:21.946607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:25:21.946607Z digest=sha256:abde68f662dd8e2608c3b9936de54403537ff5a72be1e50c1bea2344412c4f93

Observation b3fa39d1-da9c-4873-84ee-e722622c67c1 · outbound

This paper cites OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for Wideband Power Amplifier Modeli ng and Digital Pre-Distortion,.

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for Wideband Power Amplifier Modeli ng and Digital Pre-Distortion,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:22.127029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:25:22.127029Z digest=sha256:a95d5a5fb46463aa1f9573a8dc2a95200607a27406b50f9405c7b20bdd112949

Observation 164d6fab-d9f4-42c7-892c-afedbbb526f9 · outbound

This paper cites A comparative analysis of the complexity/accura cy tradeoff in power amplifier behavioral models,.

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection A comparative analysis of the complexity/accura cy tradeoff in power amplifier behavioral models,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:22.305721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:25:22.305721Z digest=sha256:58583c162ccd0497479529187ed8468f3c13b5901b81e36e6cb38c88cede54e6

Observation 82542bd5-b452-4659-a090-1396efcf9b25 · outbound

This paper cites Behavioral Power A mplifier Model- ing Using the LASSO,.

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection Behavioral Power A mplifier Model- ing Using the LASSO,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:22.486291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:25:22.486291Z digest=sha256:6ee10f94581b3eabfae50717f5dd2fa882744e710eebc62b0604179f45370a6c

Observation 1a5f1651-a059-4306-9dcf-9fd14ea38839 · outbound

This paper cites Compa rison of Feature Selection Techniques for Power Amplifier Behaviora l Modeling and Digital Predistortion Linearization,.

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection Compa rison of Feature Selection Techniques for Power Amplifier Behaviora l Modeling and Digital Predistortion Linearization,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:22.621499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:25:22.621499Z digest=sha256:63ac19f436f90f627aa498b517da427ea3550b98f8bf8d1297d123f58e93be73

Observation 5a2c453a-8848-4780-8dbb-39988b56e7aa · outbound

This paper cites Feature selection based o n mu- tual information criteria of max-dependency, max-relevan ce, and min- redundancy,.

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection Feature selection based o n mu- tual information criteria of max-dependency, max-relevan ce, and min- redundancy,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:22.698434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:25:22.698434Z digest=sha256:a61d2f8dedee6f59b6eabaf4531ddc3b0572bcb7b5d7ed4aee339bbba89c0ad1

Observation de7336c1-05da-4689-8b07-c3c64b7b0634 · outbound

This paper cites FR3 PA response dataset for behavioral modelling and digit al predis- tortion,.

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection FR3 PA response dataset for behavioral modelling and digit al predis- tortion,

Reference 14

Resolution
verified exact
doi, observed 2026-08-01T23:28:29.870091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-01T23:25:22.780182Z digest=sha256:240300166e6f1872e7f35da68306a03a98ac834da6a74e64863bfb8d8c0fef68

Observation 265fbc93-4077-4b6a-8231-78fea521e9ba · outbound

This paper cites A new V olterra predistorter based on the indirect learning architecture,.

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection A new V olterra predistorter based on the indirect learning architecture,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:22.904368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:25:22.904368Z digest=sha256:94b3d7efa4781c4abe1e81d3573224c4035031b12e32de767d95c3a66aea9832

Observation beefb955-f8c1-4df9-ab3b-8095f4883d49 · outbound

This paper cites The Evolution of V ec tor Network Analyzers to Provide Precision V ector Spectrum Analysis fo r 6G Applications: VNA Evolves for 6G EVM Signals,.

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection The Evolution of V ec tor Network Analyzers to Provide Precision V ector Spectrum Analysis fo r 6G Applications: VNA Evolves for 6G EVM Signals,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:22.999536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:25:22.999536Z digest=sha256:6a294e16ed79aae1b9e9addaa5dcda97618808b2abcb55f511c50cfed3a036bb

Observation 6f26c151-f310-4bc3-8650-73bac8a7564a · outbound

This paper cites Accurate hyperbolic tangent computati on,.

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection Accurate hyperbolic tangent computati on,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:23.091848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:25:23.091848Z digest=sha256:3c5f6978cca778e84f9080ad0e5d3c1bd0ec1e583344c41ce7cefab6ec1cc124

Observation e229a4af-1c51-4498-96fb-5f1f24d2d2c9 · outbound

This paper cites Practical Bay esian Op- timization of Machine Learning Algorithms,.

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection Practical Bay esian Op- timization of Machine Learning Algorithms,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:23.185600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:25:23.185600Z digest=sha256:711a858a5a6b0ee90ccda07b9a829219193b44dd815f52812a48156671e79935

Pith citing papers

No inbound Pith citation observations are available.