Paper Citation Record · LEDGER

Applied AI-Enhanced RF Interference Rejection

As of 13 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2604.22816.

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

pith.paper-citation-record.v1
2604.22816 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T14:27:19.269432Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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 exact5
verified fuzzy14
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e81d7fdd-9b6f-45bb-ba9f-0513ee4f8c83 · outbound

This paper cites Rf challenge: The data-driven radio frequency signal separation challenge.

Applied AI-Enhanced RF Interference Rejection Rf challenge: The data-driven radio frequency signal separation challenge

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T13:22:38.989815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aaf6b0c8-41af-4df3-a44a-17d1b9748c18 · outbound

This paper cites Score estimation for generative modeling.

Applied AI-Enhanced RF Interference Rejection Score estimation for generative modeling

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T13:22:38.970097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 91ea5c27-416a-4067-ac9b-8db934581185 · outbound

This paper cites Available: https://sia.mit.edu/wp-content/uploads/2025/ 08/2025-jayashankar-phd.pdf.

Applied AI-Enhanced RF Interference Rejection Available: https://sia.mit.edu/wp-content/uploads/2025/ 08/2025-jayashankar-phd.pdf

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T13:22:38.979533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3cc4292b-98ef-44dd-bf37-b31e44ec37c7 · outbound

This paper cites The radio-frequency transformer for signal separation.

Applied AI-Enhanced RF Interference Rejection The radio-frequency transformer for signal separation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T13:22:38.973409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 48f74290-5367-4761-8bb8-be75ebe58876 · outbound

This paper cites Available: https://arxiv.org/abs/2603.09201.

Applied AI-Enhanced RF Interference Rejection Available: https://arxiv.org/abs/2603.09201

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:30:31.756545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 674fab4d-d762-43a6-a97c-1a60cc564fc3 · outbound

This paper cites Trepagnier and A.

Applied AI-Enhanced RF Interference Rejection Trepagnier and A

Reference 6

Resolution: verified exact; doi, observed 2026-05-10T14:30:30.080218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 77580c1f-1f1e-490e-85a2-b5f7d9f74ae0 · outbound

This paper cites Advancing ai challenges for the united states department of the air force*.

Applied AI-Enhanced RF Interference Rejection Advancing ai challenges for the united states department of the air force*

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T13:22:38.993171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2f4acaeb-ed6a-46b5-9526-74e0cb923691 · outbound

This paper cites an unresolved cited work.

Applied AI-Enhanced RF Interference Rejection Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-05-18T13:22:38.976618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 10f3a6d2-e4ce-4fb6-ba48-ed71231fdd7b · outbound

This paper cites an unresolved cited work.

Applied AI-Enhanced RF Interference Rejection Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-18T13:22:38.983150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c8461f50-826b-4bc0-8b03-fc9897bdcfb0 · outbound

This paper cites Multi-user detection for ds-cdma communications.

Applied AI-Enhanced RF Interference Rejection Multi-user detection for ds-cdma communications

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T13:22:38.986048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bb4e288f-38fe-460d-91d8-ea4b56776eff · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

Applied AI-Enhanced RF Interference Rejection WaveNet: A Generative Model for Raw Audio

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T20:27:40.593869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 49e5d0bd-83fc-42ed-9b32-ea2c3f5ba789 · outbound

This paper cites Attention is all you need.

Applied AI-Enhanced RF Interference Rejection Attention is all you need

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T13:22:38.966001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6ee9d2f2-10a8-49f2-ac22-08705a24866c · outbound

This paper cites Perceptual evaluation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs.

Applied AI-Enhanced RF Interference Rejection Perceptual evaluation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T13:22:38.960467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 525e81e0-cd5f-42ef-a4d7-cfeee4015bdb · outbound

This paper cites Pesq (perceptual evaluation of speech quality) wrapper for python users.

Applied AI-Enhanced RF Interference Rejection Pesq (perceptual evaluation of speech quality) wrapper for python users

Reference 14

Resolution: verified exact; doi, observed 2026-05-10T14:30:30.093838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6b0d2315-184f-4e15-af85-fe1e8d4c1771 · outbound

This paper cites mir eval: A transparent implementation of common mir metrics.

Applied AI-Enhanced RF Interference Rejection mir eval: A transparent implementation of common mir metrics

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T13:22:38.942967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 48cc9936-9898-49b1-b71b-ff8f4cf00ad0 · outbound

This paper cites librosa/librosa: 0.11.0.

Applied AI-Enhanced RF Interference Rejection librosa/librosa: 0.11.0

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T13:22:38.956822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dbf7d96b-027e-4651-a51d-77f5c7a4fb98 · outbound

This paper cites https://doi.org/10.5281/zenodo.15006942.

Applied AI-Enhanced RF Interference Rejection https://doi.org/10.5281/zenodo.15006942

Reference 17

Resolution: verified exact; doi, observed 2026-05-10T14:30:30.088557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e1f8290c-4f49-468c-80d8-27d6fc5740b7 · outbound

This paper cites mel-cepstral-distance.

Applied AI-Enhanced RF Interference Rejection mel-cepstral-distance

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T13:22:38.963291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 94d28603-ec7d-4aa4-87f4-05299ac3fd4b · outbound

This paper cites pystoi: Python implementation of the short-time objective intelligibility (stoi) metric.

Applied AI-Enhanced RF Interference Rejection pystoi: Python implementation of the short-time objective intelligibility (stoi) metric

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T13:22:38.953139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 564a35d4-8f3e-485e-897e-db6c199ee4c7 · outbound

This paper cites IEEE/ACM Transactions on Audio, Speech, and Language Processing , author =.

Applied AI-Enhanced RF Interference Rejection IEEE/ACM Transactions on Audio, Speech, and Language Processing , author =

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T14:30:30.082920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 397e7794-b069-49bf-ac8d-6e8783c11233 · outbound

This paper cites ITU-T Recommendation P.863: Perceptual Objective Listening Quality Analysis (POLQA).

Applied AI-Enhanced RF Interference Rejection ITU-T Recommendation P.863: Perceptual Objective Listening Quality Analysis (POLQA)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T13:22:38.946386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7be8bc52-fe92-4da8-8a3d-b0e5d7058557 · outbound

This paper cites Interactive supercomputing on 40,000 cores for machine learning and data analysis.

Applied AI-Enhanced RF Interference Rejection Interactive supercomputing on 40,000 cores for machine learning and data analysis

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T13:22:38.949661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.