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Paper Citation Record · LEDGER

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue

As of 17 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2608.00875.

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

pith.paper-citation-record.v1
2608.00875 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:20:26.032720Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f9d1f93f-6063-4f27-b99b-8101ed58c58b · outbound

This paper cites SSLAM: Enhancing self-supervised models with audio mixtures for polyphonic soundscapes.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue SSLAM: Enhancing self-supervised models with audio mixtures for polyphonic soundscapes

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:26.367799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:25.929619Z digest=sha256:5c3c6c77f80fa8ea83e77c054899244f5933c0d00501d448fd68f519435b5edb

Observation f6aa7660-ebb5-497b-8553-fad0daa69e62 · outbound

This paper cites Zero-shot audio source separation through query-based learning from weakly-labeled data.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Zero-shot audio source separation through query-based learning from weakly-labeled data

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:25.934893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:20:25.934893Z digest=sha256:a6894b16662a936a0f7c9d392b0ebc447c1abce05353a0883332c1b3c6d83f2a

Observation 0b5cfa30-717a-4edd-b134-7c5092c3fa5d · outbound

This paper cites Drone audition for search and rescue: Datasets and challenges.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Drone audition for search and rescue: Datasets and challenges

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:26.345429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:25.938922Z digest=sha256:2c6ae124488068edc0f176a3bac477ad9c0dc9edc6619d54039fb6ec8de452ab

Observation da6545c3-dae8-4c03-b6c5-52dead1397f5 · outbound

This paper cites Gemmeke, Daniel P.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Gemmeke, Daniel P

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:25.944178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:20:25.944178Z digest=sha256:42fb7ed1eb73cccee8b3548b6b1beb633dfe6c01b93b4efe3a55d7dbb5951706

Observation 58fb3468-8691-480f-be57-3b4a0508d1e9 · outbound

This paper cites Understanding the difficulty of training deep feedfor- ward neural networks.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Understanding the difficulty of training deep feedfor- ward neural networks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:25.948105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:20:25.948105Z digest=sha256:00da2ddf03c769b61d6f4052c7f624d4cbd1a7bbcc97b89b74f59fbfe616c541

Observation 1dda5195-9814-41b2-98bf-5545661c5be8 · outbound

This paper cites An acoustic source localization method using a drone-mounted phased microphone array.Drones, 5(3):75, 2021.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue An acoustic source localization method using a drone-mounted phased microphone array.Drones, 5(3):75, 2021

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:26.316562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:25.952841Z digest=sha256:1a239bc40d9ff82f0092ee394c7eeaf27622afe49657b52fabdf5dfc7186ad7a

Observation 1acd8b05-4053-4fa2-bef3-e2153d9a1909 · outbound

This paper cites Droneaudioset: An audio dataset for drone-based search and rescue.Neurips, 2025.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Droneaudioset: An audio dataset for drone-based search and rescue.Neurips, 2025

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:26.304122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:25.957152Z digest=sha256:8890c84468f9f530296b1760f641d33bdbaac2b15351e1fcd529e5ff2e4d4d06

Observation 746a9232-facc-4914-89ec-54fa986db146 · outbound

This paper cites Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music Source Separation.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music Source Separation

Reference 8

Resolution
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no resolver link, observed 2026-08-15T15:20:25.961005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:20:25.961005Z digest=sha256:13b0f22b8b5177921a91b58d87fe464a33ff77c156f1edc0f0eeb99f95f641ae

Observation 6e522169-d812-42e2-9496-c8deff45c849 · outbound

This paper cites Universal Source Separation with Weakly Labelled Data.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Universal Source Separation with Weakly Labelled Data

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:25.966030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:20:25.966030Z digest=sha256:f81692a1c92cec1c5e50589084dc74e8a766a2583f237980993feb4a2aa239fb

Observation aa157e51-b938-4365-9501-e6096cc0b594 · outbound

This paper cites Sdr–half-baked or well done? InICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 626–630.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Sdr–half-baked or well done? InICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 626–630

Reference 10

Resolution
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raw_fallback, observed 2026-08-15T15:20:26.291863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:25.970141Z digest=sha256:3f78d8f712bdac6f775bd533ac3450a44fb7cd6f311ed25f710d1cd1cbe7c4a9

Observation 6a8e16c8-fe0b-4b41-90da-8c2d0eb512f1 · outbound

This paper cites Separate anything you describe.IEEE Transactions on Audio, Speech and Language Processing, 33:458–471, 2024.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Separate anything you describe.IEEE Transactions on Audio, Speech and Language Processing, 33:458–471, 2024

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:26.279286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:25.973891Z digest=sha256:8e048155d22937ae0bd00eead9bb4716da18b153204d576cb340b4997a7807bd

Observation ea0a9af2-ed11-44a5-bba5-629e6a737061 · outbound

This paper cites MP-SENet: A Speech Enhancement Model with Parallel Denoising of Magnitude and Phase Spectra.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue MP-SENet: A Speech Enhancement Model with Parallel Denoising of Magnitude and Phase Spectra

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:25.977901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:20:25.977901Z digest=sha256:7002f096f04d0c0c2e23b69a077cd390a9a75767fa711b4cb8b1a5a3111b5267

Observation 009e9685-d38e-4afd-9fe0-3e41ddc0c9cf · outbound

This paper cites Conv-tasnet: Surpassing ideal time–frequency magnitude masking for speech separation.IEEE/ACM Trans.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Conv-tasnet: Surpassing ideal time–frequency magnitude masking for speech separation.IEEE/ACM Trans

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:26.266164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:25.982808Z digest=sha256:42cae1bff5ca19ce982ffbfb0f04ee2f879db8cbf5448f6d0f9907f05faa92b4

Observation 0e7ba34e-0ddd-4664-9ff8-dfd5b63bcfc4 · outbound

This paper cites Drone audition: Sound source localization using on-board microphones.IEEE/ACM Transac- tions on Audio, Speech, and Language Processing, 30:508–519, 2022.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Drone audition: Sound source localization using on-board microphones.IEEE/ACM Transac- tions on Audio, Speech, and Language Processing, 30:508–519, 2022

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:26.253884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:25.986617Z digest=sha256:f05b379c2a8c9c8fea0bb8a38cda955c6cc2a73d61c10a5839d1aaf937bdf24b

Observation 2ab5e4e6-6eb4-4da6-ac91-99fe3aa88cf8 · outbound

This paper cites an unresolved cited work.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Unresolved cited work

Reference 15

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unresolved
raw_fallback, observed 2026-08-15T15:20:26.241149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:25.990434Z digest=sha256:3c098942127aa1722dbff6b2ecfc5d964b1ff0883bc0cd36958cd89a7d682ba6

Observation f3afc1ec-71b6-477c-9b88-5a0caf4e3061 · outbound

This paper cites A review on auditory perception for unmanned aerial vehicles.Sensors, 20(24), 2020.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue A review on auditory perception for unmanned aerial vehicles.Sensors, 20(24), 2020

Reference 16

Resolution
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raw_fallback, observed 2026-08-15T15:20:26.228165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:25.994084Z digest=sha256:fcdb04c8fc3f8cc0bb8f40e52bf54076c119cfc7022265922dd39001cf86309b

Observation 39d31f2f-bbb2-4788-b52a-b8be02805efb · outbound

This paper cites Urban traffic noise analysis using uav-based array of microphones.Sensors, 23(4):1912, 2023.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Urban traffic noise analysis using uav-based array of microphones.Sensors, 23(4):1912, 2023

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:26.214577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:25.997949Z digest=sha256:d1c1b681191e6fce41f80516c3c2672a5217daa150356ca7a8c23dc2b0412978

Observation 2a20b3b9-7aee-4c12-bcf8-d27b0a2256a9 · outbound

This paper cites A noise prediction and time-domain subtraction approach to deep neural network based speech enhancement.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue A noise prediction and time-domain subtraction approach to deep neural network based speech enhancement

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:26.201584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:26.001560Z digest=sha256:312099d085f35b71c2c0433bf4b63bb58f6409cf7b953051dee6af6b3aa87bdd

Observation 07df43ea-0fd7-4a4f-8317-a868ded78dab · outbound

This paper cites Aira-uas: an evaluation corpus for audio processing in unmanned aerial system.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Aira-uas: an evaluation corpus for audio processing in unmanned aerial system

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:26.188937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:26.005421Z digest=sha256:133049415b5804778b9bed8f556c7e5d4cd8f0cf6307e43bc8f8446c11936776

Observation 6b61126c-42b2-4ffc-a170-2bb1c97feae0 · outbound

This paper cites Gunshot airborne surveillance with rotary wing uav-embedded microphone array.Sensors, 19(19):4271, 2019.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Gunshot airborne surveillance with rotary wing uav-embedded microphone array.Sensors, 19(19):4271, 2019

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:26.176475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:26.009633Z digest=sha256:d482f908f19cc91fd0c9a23004708c7a1eea0bd09a18a7d210cd12255049fd87

Observation f0c4d019-f3e9-4599-baa1-b193566476ee · outbound

This paper cites Dregon: Dataset and meth- ods for uav-embedded sound source localization.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Dregon: Dataset and meth- ods for uav-embedded sound source localization

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:26.163760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:26.013455Z digest=sha256:73b74ed2f69aa851e8ac8cb4017764b34cb94fc4d466b5deb15b42405ea4ea94

Observation 69e449ab-c452-4cb7-8058-0ccfefa42821 · outbound

This paper cites Attention is all you need in speech separation.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Attention is all you need in speech separation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:26.017255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:20:26.017255Z digest=sha256:fa36585e6192fbabacc21f4b98015f70f85246c874adeaa2e971be75cf611795

Observation 30a83e24-d3d8-456f-9745-114881fa6497 · outbound

This paper cites Audio-visual sensing from a quadcopter: dataset and baselines for source localization and sound enhancement.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Audio-visual sensing from a quadcopter: dataset and baselines for source localization and sound enhancement

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:26.143440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:26.021121Z digest=sha256:84bd1817d4d247a712a137bc14a72c370709425e3fce812fe903bcaafdefe1ba

Observation bf8814d8-6a66-4416-8667-43748df4caf5 · outbound

This paper cites Complex ratio masking for monau- ral speech separation.IEEE/ACM transactions on audio, speech, and language processing, 24(3):483–492, 2015.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Complex ratio masking for monau- ral speech separation.IEEE/ACM transactions on audio, speech, and language processing, 24(3):483–492, 2015

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:26.130779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:26.024935Z digest=sha256:58c29a4c921442f8a16378243065b48b7da92f67b8768bb89a12197c222d23ff

Observation f6793233-1696-4e68-8863-eceb9afabd7e · outbound

This paper cites Large-scale contrastive language-audio pretraining with feature fusion and keyword- to-caption augmentation.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Large-scale contrastive language-audio pretraining with feature fusion and keyword- to-caption augmentation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:26.118200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:26.028830Z digest=sha256:903017e05b17df3ebd9ec273aab1182ec372528b331d464ea144a3e5ccefa1ff

Observation 1816f542-3f90-43a4-8215-84d490753b51 · outbound

This paper cites Interactive speech and noise modeling for speech enhancement.

DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue Interactive speech and noise modeling for speech enhancement

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:26.105305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:20:26.032720Z digest=sha256:c6717ff74d866ac30218c6be3610773c16db890ba7b9c6ab6951994f3da04a3e

Pith citing papers

No inbound Pith citation observations are available.