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Paper Citation Record · LEDGER

Denoising radio pulses from air showers using machine-learning methods

As of 19 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2507.06688.

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

pith.paper-citation-record.v1
2507.06688 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:03:09.375518Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T10:07:24.169575Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T10:13:17.782664Z

Reference resolution

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7a9128e-8eaf-41d2-99e5-ce37790169f9 · outbound

This paper cites 10, (2012) P10011.

Denoising radio pulses from air showers using machine-learning methods 10, (2012) P10011

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:03:11.064571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:03:08.069932Z digest=sha256:ee2eb7ac5ca708bd6b0b3434ff8d1f5d2ea49c1b7934c735f22186cb53d0f8ca

Observation 15cfc39b-ef35-4861-ab1a-a9c756db7191 · outbound

This paper cites Ardouinet al.

Denoising radio pulses from air showers using machine-learning methods Ardouinet al

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:03:10.903784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:03:08.189457Z digest=sha256:4b15d5e4755fb79ed203f23401215d2df27034382a06dcbe6ab78de90353b0be

Observation 3b0a2a6d-d875-4b4f-b91c-1e73bc3590da · outbound

This paper cites an unresolved cited work.

Denoising radio pulses from air showers using machine-learning methods Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:03:10.653183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:03:08.307944Z digest=sha256:5ed6e69867b15c7648748603fccedde034d0af774b66dfa57a113ae2d6df99d1

Observation e43d9408-ba99-4131-bd95-d3af37e3d841 · outbound

This paper cites Schröder and A.

Denoising radio pulses from air showers using machine-learning methods Schröder and A

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:03:10.487631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:03:08.424149Z digest=sha256:92e934d41bf73894caf007ca8ef0a84463d39c0b480337b7a541371bba51f499

Observation 9b2614c5-5f4b-4fba-be9b-4b4c0d779564 · outbound

This paper cites Erdmannet al.

Denoising radio pulses from air showers using machine-learning methods Erdmannet al

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:03:10.346078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:03:08.585537Z digest=sha256:fea079aeab830f148eb06cea393bc37b721223d2039202a2374b9a5738f5514e

Observation 52a7a2c5-7b8f-4cca-8f0d-98878c35b512 · outbound

This paper cites China- Phys.

Denoising radio pulses from air showers using machine-learning methods China- Phys

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:03:10.197109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:03:08.738643Z digest=sha256:eced7e65f5c543dc75c2506cefc0d51da19f50e77fc4dc99ed6e26b668f14b57

Observation bdd470a7-5a8f-4ec0-b24a-e385e127b863 · outbound

This paper cites Heet al.in2016 IEEE CVPR, pp.

Denoising radio pulses from air showers using machine-learning methods Heet al.in2016 IEEE CVPR, pp

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:03:10.063249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:03:08.855560Z digest=sha256:079d17fdaa3eabf3f3bc61385d0d3106b091363c52448a26d9eaff37af626f0b

Observation ee7de547-4eb3-4dc8-b96f-8f1e73ef944d · outbound

This paper cites Shelhameret al.

Denoising radio pulses from air showers using machine-learning methods Shelhameret al

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:03:09.870588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:03:09.018463Z digest=sha256:88566ef0b137d376766cf7806c2099a301cf3c4755af6976b0844a18680c5110

Observation b78cb95d-124c-4420-bf26-4a22354a0341 · outbound

This paper cites Alvarez-Muñizet al.

Denoising radio pulses from air showers using machine-learning methods Alvarez-Muñizet al

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:03:09.741570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:03:09.164293Z digest=sha256:0f1c2fa878279082a70b1cd19d6d536587c42a899e2191cba1dcfe6436a16a22

Observation 211f9b32-a6ad-4e98-8a8d-cf57f47c6d94 · outbound

This paper cites Le Coz, O.

Denoising radio pulses from air showers using machine-learning methods Le Coz, O

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:03:09.569813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:03:09.256374Z digest=sha256:8bd67fe2dde39510d57cc7849d75d816e00962a771b7b2b3ab6d4d466f287db4

Observation f41ea750-f658-44e4-bb3f-c4ac5d0c32f0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Denoising radio pulses from air showers using machine-learning methods Adam: A Method for Stochastic Optimization

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T19:03:09.326767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:03:09.326767Z digest=sha256:bc5a4e5ab6e6f3657cc5330568a83bffbaca49515d58683d295c2125a7d23ee6

Observation 410d939d-48d1-43a8-bc0b-def065dae38c · outbound

This paper cites Cyclical Learning Rates for Training Neural Networks.

Denoising radio pulses from air showers using machine-learning methods Cyclical Learning Rates for Training Neural Networks

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T19:03:09.375518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:03:09.375518Z digest=sha256:2162276b5c40f5897ab898947cbbd1d5ef0939f58f72f399950a810488cd150a

Pith citing papers

Observation 61e3eece-8a81-427a-b92e-f698cd062335 · inbound

Noise Suppression and Radio Frequency Interference Rejection for Self-Triggered Radio Detectors of Extensive Air Showers cites this paper.

Noise Suppression and Radio Frequency Interference Rejection for Self-Triggered Radio Detectors of Extensive Air Showers Denoising radio pulses from air showers using machine-learning methods

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-06-29T10:13:17.783890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T10:07:24.169575Z digest=sha256:059ff36d3e1fffcddb07fc409889d8780da2d939d474532e67fc01364f044b0c