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Paper Citation Record · LEDGER

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks

As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2501.18727.

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

pith.paper-citation-record.v1
2501.18727 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:45:16.498520Z

measured 45 of 45 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 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

45 of 45 outbound references displayed

  • verified exact3
  • verified fuzzy37
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c7186fd-0301-4d95-8ba9-55b00813a11b · outbound

This paper cites Music enhances activity in the hypothalamus, brainstem, and anterior cerebellum during script-driven imagery of affective scenes.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Music enhances activity in the hypothalamus, brainstem, and anterior cerebellum during script-driven imagery of affective scenes

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.294372Z

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.

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Observation 59c352b8-dcf9-438c-b153-7d252ad4ee2b · outbound

This paper cites Alexa, siri, cortana, and more: an introduction to voice assistants.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Alexa, siri, cortana, and more: an introduction to voice assistants

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.278895Z

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.

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Observation eb1953e1-9de3-4c1c-a56b-2f082f9bccdc · outbound

This paper cites 3-d sound for virtual reality and multimedia.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks 3-d sound for virtual reality and multimedia

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T22:45:16.272549Z

Source-reported events for the cited work

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Observation 05c83480-a981-43f5-b1f9-5ac4e794b30e · outbound

This paper cites Audio-visual perception of omnidirectional video for virtual reality applications.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Audio-visual perception of omnidirectional video for virtual reality applications

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.252671Z

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.

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Observation 43bf2f05-9643-417a-87fa-10d0868bb0aa · outbound

This paper cites New Challenges for Content Privacy in Speech and Audio.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks New Challenges for Content Privacy in Speech and Audio

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T22:45:16.284148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation be220304-bf83-4de7-bad6-19266c79914a · outbound

This paper cites Privacy risks in speech emotion recognition: A systematic study on gender inference attack.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Privacy risks in speech emotion recognition: A systematic study on gender inference attack

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.237001Z

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=2026-08-09T22:45:16.289863Z digest=sha256:f1a98afa5b699563b8a347c6d0d3e0abd110a5e7953d9cb8b83b90cefa88e18d

Observation ae3ea1bc-b9f0-4670-b453-1e8b97e8da4f · outbound

This paper cites Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-09T22:45:16.617443Z

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=2026-08-09T22:45:16.295603Z digest=sha256:72bef088980d93976523637f1a2674ed1d118f88751662c1f539dc19a4b67438

Observation 2245bba8-1fd9-4828-a322-e5cd002bb2a8 · outbound

This paper cites Zooming into video conferencing privacy.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Zooming into video conferencing privacy

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.221045Z

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=2026-08-09T22:45:16.301135Z digest=sha256:8447b61b3ba44ea5e4cbf675e20bdbd3a0a90fd2f544f0bcd70f40d2fb30b163

Observation 0e9f96ca-a5f6-45d0-b32a-74f43625486d · outbound

This paper cites Shahid and Ahmed Imteaj.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Shahid and Ahmed Imteaj

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.204694Z

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.

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Observation 8c1b9876-da57-4f99-b6d9-3af43a12896e · outbound

This paper cites Sok: Data privacy in virtual reality.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Sok: Data privacy in virtual reality

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.189096Z

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.

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Observation da2dcf55-cefe-4028-955b-56c1f24b652d · outbound

This paper cites Privacy preservation in artificial intelligence and extended reality (ai-xr) metaverses: A survey, 2023.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Privacy preservation in artificial intelligence and extended reality (ai-xr) metaverses: A survey, 2023

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.173265Z

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.

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Observation 2f55b86d-81f9-4b02-aeb8-3c29d3c28b83 · outbound

This paper cites Privacy of the metaverse: Current issues, ai attacks, and possible solutions.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Privacy of the metaverse: Current issues, ai attacks, and possible solutions

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.157911Z

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.

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Observation d13a976f-d3ff-4295-9f83-c15cc5b377b5 · outbound

This paper cites Gradient-level differential privacy against attribute inference attack for speech emotion recognition.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Gradient-level differential privacy against attribute inference attack for speech emotion recognition

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.138198Z

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=2026-08-09T22:45:16.326827Z digest=sha256:95d964d95ecfcef554bd595f91f3c07aed97fad832111573594445db8bbf5a86

Observation c179a4a4-5491-40d6-b9bc-9d3a5b400999 · outbound

This paper cites Privacy-preserving voice analysis via disentangled representa- tions.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Privacy-preserving voice analysis via disentangled representa- tions

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.119311Z

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=2026-08-09T22:45:16.332564Z digest=sha256:9dbe07fc01d1b703e318097ad5c797bbfe63b868588f67655260d1b98c94b6af

Observation 2a2051e8-4700-4dc2-a450-5d49868bc929 · outbound

This paper cites An opt-in framework for privacy protection in audio-based applications.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks An opt-in framework for privacy protection in audio-based applications

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.101914Z

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=2026-08-09T22:45:16.339203Z digest=sha256:ee7c1faa341df47e33c39e548f13d90290e32a5ad4f6c613b47f0107f2025dde

Observation 1256d8d6-d71b-41e8-b65f-b2349892b112 · outbound

This paper cites Privacy against real-time speech emotion detection via acoustic adversarial evasion of machine learning.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Privacy against real-time speech emotion detection via acoustic adversarial evasion of machine learning

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.086441Z

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=2026-08-09T22:45:16.344265Z digest=sha256:c46db780c4cb5c708c41d93d2035bf05af713b8c1da11882cc1cae05fcebabe8

Observation 7bd5b20e-5dc7-4954-96e0-a0913bc1ca57 · outbound

This paper cites Apple intelligence.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Apple intelligence

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.069802Z

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.

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Observation 5dd86843-29a2-4e0d-a69a-7b83a0e2032b · outbound

This paper cites Google play store.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Google play store

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.053610Z

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=2026-08-09T22:45:16.354836Z digest=sha256:2e81fd65c2a35a993c6e998f052f51d2590690b25dea9ace5184876d15bc922b

Observation b3952446-228b-4ee9-bc6d-81510f4e8f05 · outbound

This paper cites Apple app store.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Apple app store

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.036589Z

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=2026-08-09T22:45:16.360370Z digest=sha256:3c4fac5e9ea75ecd5e3172f500d86944c2063bfed13800e2e2682380adb57e67

Observation bb8e4ee0-5a94-4e60-aa46-fe396087e28c · outbound

This paper cites Android official website.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Android official website

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.021290Z

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=2026-08-09T22:45:16.365159Z digest=sha256:45a224058f3b18ad4a2308362ac197224e6d8283c96d84257892b98dfca05a43

Observation 790cc745-5208-477b-9ed2-fc9a0796fbbc · outbound

This paper cites ios 18 features.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks ios 18 features

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.004994Z

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.

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Observation c90e693f-1740-4775-862c-9110c330480c · outbound

This paper cites User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-09T22:45:16.591569Z

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=2026-08-09T22:45:16.375955Z digest=sha256:e0ffaaf4403db745ec0c2f7df638ead93afa2715304bff435f5e50e58546fe41

Observation 9dff57e8-1bf8-47b2-b6dc-049bcb5a529b · outbound

This paper cites Privacy-enhanced federated learning against attribute inference attack for speech emotion recognition.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Privacy-enhanced federated learning against attribute inference attack for speech emotion recognition

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.989643Z

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=2026-08-09T22:45:16.382520Z digest=sha256:1dd1f8cd2266022bcfc1af133990b573887f1334a127c11db057aba7eeddd045

Observation 373fbec9-70e2-4bc0-856c-6299d7c7a70d · outbound

This paper cites Effects of pitch and musical sounds on body-representations when moving with sound.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Effects of pitch and musical sounds on body-representations when moving with sound

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.974556Z

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=2026-08-09T22:45:16.387928Z digest=sha256:7d97f1a4a92944569ce000c9513596bd42748d405056869b812aea4806d4d4e4

Observation 51d3e134-c9c1-4f05-80da-1ac4792488fc · outbound

This paper cites Influence of tempo and rhythmic unit in musical emotion regulation.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Influence of tempo and rhythmic unit in musical emotion regulation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.959177Z

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=2026-08-09T22:45:16.392855Z digest=sha256:82228404df9afeeacc5930e67656d3a70721961e7a8bb04c0bc4de29116f99f4

Observation 79e78828-e661-4e2b-b451-411ba447851b · outbound

This paper cites {SMACK}: Semantically meaningful adversarial audio attack.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks {SMACK}: Semantically meaningful adversarial audio attack

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.943615Z

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=2026-08-09T22:45:16.398483Z digest=sha256:60301f89629a3b731c4d4e921103c75eae345997b1edd973763812452679b974

Observation 8bda5314-6a3d-4df9-ac81-adc9daac97bb · outbound

This paper cites A cross-domain exploration of audio and textual data for multi-modal emotion detection.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks A cross-domain exploration of audio and textual data for multi-modal emotion detection

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.927802Z

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=2026-08-09T22:45:16.403910Z digest=sha256:bafa8cc412aa0dc275e11e68399bf7455042d30c1869ad86adb273a9d63f9d25

Observation 4d1fba93-07dd-44f6-8b50-d91047a20af5 · outbound

This paper cites an unresolved cited work.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-09T22:45:16.911585Z

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=2026-08-09T22:45:16.409243Z digest=sha256:9b82b0c02c480ebfcba43f6c18a97a050b278e43dd6a9955687fe1c1c77b38f2

Observation 5d61ccb3-3b62-427c-b67d-d35de111824f · outbound

This paper cites Speech emotion recognition based on 1d cnn and mfcc.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Speech emotion recognition based on 1d cnn and mfcc

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.895822Z

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=2026-08-09T22:45:16.414380Z digest=sha256:73ff4379852e78d566718c09264a671bb7a3bec3af8a537b9d40a5aff9fa8767

Observation ba4a5ea0-9325-437c-b7fb-a50abc8a80d2 · outbound

This paper cites Emotion Recognition in Audio and Video Using Deep Neural Networks.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Emotion Recognition in Audio and Video Using Deep Neural Networks

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-09T22:45:16.565074Z

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=2026-08-09T22:45:16.419394Z digest=sha256:0bdc150d0efadaf58c85bc90721e20ae146d9339db280f0363027eacbadd56d9

Observation 77317f37-881b-40e9-a8d1-ef4356544a37 · outbound

This paper cites Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal Nuances.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal Nuances

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-09T22:45:16.425317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:45:16.425317Z digest=sha256:9bc1bb43f47a1b2369adffabce387e7974c6b531f628b25faf8d3804211bab5d

Observation 54d5034e-016c-42bb-9bfa-4ab989909519 · outbound

This paper cites Secap: Speech emotion captioning with large language model.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Secap: Speech emotion captioning with large language model

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.880384Z

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=2026-08-09T22:45:16.432007Z digest=sha256:6c39fa8534deab5ec1f41012fd82a1c3ee204beb722194b8a14d5ccb88b34230

Observation 8f115c83-2bc3-4dcd-8873-5476383cf912 · outbound

This paper cites Alexa official website.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Alexa official website

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.864891Z

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=2026-08-09T22:45:16.437168Z digest=sha256:7e22b218ae2cc2a8b42bbdf5ad5b07bd2c399dd30300ce97e3ccdb7fce65feaa

Observation 3fb96a2b-009e-486f-b8a6-b0f4ae11a2f7 · outbound

This paper cites Siri by apple.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Siri by apple

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.849678Z

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=2026-08-09T22:45:16.442300Z digest=sha256:e71ba4233bef15ad6ee5a54f72bc4bd30c161aa9144dca0e0958f81303c4157a

Observation 39a352d0-3fd5-4e4b-8fbc-390c481e666f · outbound

This paper cites Google assistant official website.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Google assistant official website

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.832450Z

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=2026-08-09T22:45:16.448063Z digest=sha256:583445404f26c3902b5e4b16ef2891d4aece5b044be3b32de7d7369de006bfea

Observation aa17eab1-9cb1-46bb-b7d3-acf36654e3e3 · outbound

This paper cites Chatgpt official website.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Chatgpt official website

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.814472Z

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=2026-08-09T22:45:16.453403Z digest=sha256:b963487aa84133d48a1129972c3dac8d4c119d607fef473f6b9eb9679e91afa9

Observation 2d5c5c4d-464b-4820-a773-82756664d417 · outbound

This paper cites Gemini by google.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Gemini by google

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.797761Z

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=2026-08-09T22:45:16.458314Z digest=sha256:0ee3524af045cdbf630a1dd13bddf93841fb3aa359eedecc7371fb74fc16d326

Observation f1a9ca4a-7e9f-4c49-ba71-431c98ef0eb9 · outbound

This paper cites Google meet.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Google meet

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.779273Z

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=2026-08-09T22:45:16.463575Z digest=sha256:f3d62bae2588e4cace2b16025b770238281f6c1d109c44ae7aaa52c459f27c8c

Observation 67fb90a6-5a90-484b-ad86-b20cdede2b2f · outbound

This paper cites Zoom video communications.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Zoom video communications

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.762310Z

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=2026-08-09T22:45:16.468325Z digest=sha256:404e6564363cc06d94f4051c2074af17b905f925dc979837c0baa6fef4e48544

Observation d32e55bc-8825-45ca-8c5b-bfabfd1b3b8e · outbound

This paper cites Meta smart glasses.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Meta smart glasses

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.743627Z

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=2026-08-09T22:45:16.473585Z digest=sha256:b0c0176bef4fb2ce83c84a67380dbe2cee8890ad30338155d140a101353d2838

Observation f98e3c26-e878-4c1b-950e-7a3e394f743d · outbound

This paper cites The ryerson audio-visual database of emotional speech and song (ravdess): A dynamic, multimodal set of facial and vocal expressions in north american english.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks The ryerson audio-visual database of emotional speech and song (ravdess): A dynamic, multimodal set of facial and vocal expressions in north american english

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-09T22:45:16.478647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:45:16.478647Z digest=sha256:c8f3ee0b8b773b6c0af8f5abe5b1cb2196894bd623acdb8d1f50ba6c90c3f62a

Observation 05cd989d-e6c9-441b-95cf-3dcf202e82a4 · outbound

This paper cites Cooper, Michael K.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Cooper, Michael K

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.714218Z

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=2026-08-09T22:45:16.483834Z digest=sha256:0818b58bef204ef61dafccec079e18f60b3f857d8a6438b2309deb1a2bd7dbb3

Observation bf4244d4-db19-4159-8213-f98f80577809 · outbound

This paper cites Kathleen Pichora-Fuller and Kate Dupuis.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Kathleen Pichora-Fuller and Kate Dupuis

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.695417Z

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=2026-08-09T22:45:16.488724Z digest=sha256:5753e0b7c705f0b853ae5feaeabe567de959212df684a0b9a5ff79b7bd446f9f

Observation 28c6b65a-e6b5-4944-a566-1edebe75ab2c · outbound

This paper cites emotion2vec: Self-supervised pre-training for speech emotion representation, 2023.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks emotion2vec: Self-supervised pre-training for speech emotion representation, 2023

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.677641Z

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=2026-08-09T22:45:16.493637Z digest=sha256:dcaaa63d31546eae90451c5637d48f9e9b5c4c2512680043e35031e43518c024

Observation 892a1c56-0f8b-4fc2-9497-00c97865864f · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations, 2020.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks wav2vec 2.0: A framework for self-supervised learning of speech representations, 2020

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.658745Z

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=2026-08-09T22:45:16.498520Z digest=sha256:06cff9c2bedc2757582eb8fa5b9c8a39ee4a1624d0f1878a35e46d5238e6f16e

Pith citing papers

No inbound Pith citation observations are available.