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Paper Citation Record · LEDGER

Denoising radio pulses from air showers using machine-learning methods

As of 11 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:03:08.069932Z digest=sha256:6a122aadee9f2f547ba01fd82da34d875e2c0f20a05cb88cca58b000e53d678d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:03:08.189457Z digest=sha256:fbdf0498b953f002c44e224a15158a9bbc240e3137995e6f2544b68112de6067

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:03:08.307944Z digest=sha256:bb01256b0a993e9722b74257c03a9ad2c46b672a318ef3fce8bb3414edd90ddd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:03:08.424149Z digest=sha256:b85e27f1e9149a765630fac538772545fb310c02f8489817e5338716080042cb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:03:08.585537Z digest=sha256:1b00283bbc201c9789ad6fd9cfdcdee48a11b36f151886ac9efe8013af0bf20a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:03:08.738643Z digest=sha256:456540d1ef0d7db9a57775bec8a88aa5f65f8e3e8f8121ea793167906e96365a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:03:08.855560Z digest=sha256:21bbb884b91bd0e078a527b0df1dd931abe40fe50a4e63ec808736784c09da17

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:03:09.018463Z digest=sha256:3f896ea045203388dd8132479066ef1572decfe3545bfb0103c3b3bbc96892e5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:03:09.164293Z digest=sha256:5d43027dc2e5f1ddde610851e9309bfe6cb8d031cf3e65e11880f7b8e8d9d01a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:03:09.256374Z digest=sha256:46089396b4d50a64247633c395ef4ca0ed598e741eedb9218d53d434a2d5b27b

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=sha256:52c92e83e13e73ff25653e8c208581970f91ddbfa7d6f1abce8990d8da359827

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:f2c7871f896ad4ba251182770a5a12154a4ae223e85b84cf5c431cf091b584b5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T10:07:24.169575Z digest=sha256:7ff6600d8360d9d32e7a3f8c6baaa1a0053be9db12ba1683d225d59815d78e57