Paper Citation Record · LEDGER

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation

As of 18 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2509.03829.

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

pith.paper-citation-record.v1
2509.03829 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:41:03.296949Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

24 of 24 outbound references displayed

verified exact1
verified fuzzy18
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9325b512-63be-4c84-a60d-c861bf65fd0a · outbound

This paper cites Diffcss: Diverse and expressive conversational speech synthesis with diffusion models,.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Diffcss: Diverse and expressive conversational speech synthesis with diffusion models,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:41:04.583176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6f1c16f4-65e0-4622-89e9-f013c0e76a2d · outbound

This paper cites Stable- tts: Stable speaker-adaptive text-to-speech synthesis via prosody prompting,.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Stable- tts: Stable speaker-adaptive text-to-speech synthesis via prosody prompting,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:41:04.544004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5d14131c-b90c-4db3-9992-b23f82361d27 · outbound

This paper cites Grad-stylespeech: Any-speaker adaptive text-to-speech synthesis with dif- fusion models,.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Grad-stylespeech: Any-speaker adaptive text-to-speech synthesis with dif- fusion models,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:41:04.495186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dd468327-e3fe-42f6-910e-fab8c23da67f · outbound

This paper cites Freevc: Towards high- quality text-free one-shot voice conversion,.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Freevc: Towards high- quality text-free one-shot voice conversion,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:41:04.439815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3b84e054-a639-4d02-b893-2189e57617de · outbound

This paper cites Speechsplit2.0: Unsupervised speech disen- tanglement for voice conversion without tuning autoen- coder bottlenecks,.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Speechsplit2.0: Unsupervised speech disen- tanglement for voice conversion without tuning autoen- coder bottlenecks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:41:04.393120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 048f8bc3-8ce8-4313-87d2-511267a37522 · outbound

This paper cites Again-vc: A one-shot voice conversion using activation guidance and adaptive instance normalization,.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Again-vc: A one-shot voice conversion using activation guidance and adaptive instance normalization,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:41:04.366622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3e1804e3-5e81-4e84-a479-6f867bb92055 · outbound

This paper cites Avqvc: One-shot voice conversion by vector quantiza- tion with applying contrastive learning,.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Avqvc: One-shot voice conversion by vector quantiza- tion with applying contrastive learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:41:04.318328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 54d83513-d58e-4140-affc-ea5af4949d64 · outbound

This paper cites Enhancing expressive voice conversion with discrete pitch-conditioned flow matching model,.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Enhancing expressive voice conversion with discrete pitch-conditioned flow matching model,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:41:04.275957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1245e7d6-3528-4e52-93d4-8e8d9498b99e · outbound

This paper cites Hifi-gan: Generative ad- versarial networks for efficient and high fidelity speech synthesis,.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Hifi-gan: Generative ad- versarial networks for efficient and high fidelity speech synthesis,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:41:04.245373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bd41caa9-3391-42cf-bfb2-53758dab346e · outbound

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

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation WaveNet: A Generative Model for Raw Audio

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T10:41:03.093578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b03fa801-ba11-45cf-9efd-82159b707d47 · outbound

This paper cites Natural tts synthesis by conditioning wavenet on mel spectro- gram predictions,.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Natural tts synthesis by conditioning wavenet on mel spectro- gram predictions,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:41:04.179626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2fda5db6-1b1c-4351-bb0d-30f7b1ef3ac6 · outbound

This paper cites End-to-end anti-spoofing with rawnet2,.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation End-to-end anti-spoofing with rawnet2,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:41:04.053161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a26bda3c-2bf8-4e07-a647-428a8c5a45c9 · outbound

This paper cites Aasist: Audio anti-spoofing using integrated spectro-temporal graph attention networks,.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Aasist: Audio anti-spoofing using integrated spectro-temporal graph attention networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:41:04.020694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8b016ef-3e91-4a6a-86f6-4678777ab809 · outbound

This paper cites Half-Truth: A Partially Fake Audio Detection Dataset.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Half-Truth: A Partially Fake Audio Detection Dataset

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T10:41:03.157874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37fe71e0-b5d7-454b-bb5b-97e609dd2fad · outbound

This paper cites An Initial Investigation for Detecting Partially Spoofed Audio.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation An Initial Investigation for Detecting Partially Spoofed Audio

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T10:41:03.170360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f202525-3d7a-4595-98c7-0760ba8a38e7 · outbound

This paper cites Multi-Task Learning in Utterance-Level and Segmental-Level Spoof Detection.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Multi-Task Learning in Utterance-Level and Segmental-Level Spoof Detection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T10:41:03.183317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0664f477-0032-4e5a-a27a-b61aeb9593a8 · outbound

This paper cites Wav2vec 2.0: A framework for self-supervised learn- ing of speech representations,.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Wav2vec 2.0: A framework for self-supervised learn- ing of speech representations,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:41:03.971546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c3fe74b4-ca6f-4d2d-bfae-9e4482663157 · outbound

This paper cites The partialspoof database and countermeasures for the detection of short fake speech segments embedded in an utterance,.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation The partialspoof database and countermeasures for the detection of short fake speech segments embedded in an utterance,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:41:03.933340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e24abe07-14da-4949-9ece-964cf1701831 · outbound

This paper cites Waveform boundary detection for partially spoofed audio,.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Waveform boundary detection for partially spoofed audio,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:41:03.891030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f54a4bd4-d724-4682-a227-314575dc2d60 · outbound

This paper cites End-to-end Named Entity Recognition from English Speech.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation End-to-end Named Entity Recognition from English Speech

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:41:03.512053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d409d5da-f134-4994-930b-857a7807c864 · outbound

This paper cites Robust speech recogni- tion via large-scale weak supervision,.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Robust speech recogni- tion via large-scale weak supervision,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:41:03.839315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0f6a390e-4d4e-49f2-bb48-1329b49ff70f · outbound

This paper cites Attention is all you need,.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Attention is all you need,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:41:03.786987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 23507646-c23d-4bb6-9dd9-bd773055a4e7 · outbound

This paper cites Enhancing Partially Spoofed Audio Localization with Boundary-aware Attention Mechanism.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Enhancing Partially Spoofed Audio Localization with Boundary-aware Attention Mechanism

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T10:41:03.284513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74e271da-741a-4bb4-85af-cc1efdcc099e · outbound

This paper cites An efficient temporary deepfake location approach based embed- dings for partially spoofed audio detection,.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation An efficient temporary deepfake location approach based embed- dings for partially spoofed audio detection,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:41:03.759275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.