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Paper Citation Record · LEDGER

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.01157.

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

pith.paper-citation-record.v1
2506.01157 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:55:23.673253Z

measured 26 of 26 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

26 of 26 outbound references displayed

  • verified exact1
  • verified fuzzy18
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8c5de60-9c7c-42df-90dc-b58944a8e9c8 · outbound

This paper cites ASVspoof 2015: The first automatic speaker verification spoofing and countermeasures challenge,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations ASVspoof 2015: The first automatic speaker verification spoofing and countermeasures challenge,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:25.226914Z

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.

source=pdf_text observed=2026-08-07T11:55:21.097775Z digest=sha256:5f58cd49249197908bd37df6ccb8cd5842b6f623aa3b2031925ed2153c69dd7f

Observation 50826cde-30c5-4321-9afc-c4e897365338 · outbound

This paper cites ASVspoof 2019: Future horizons in spoofed and fake audio detec- tion,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations ASVspoof 2019: Future horizons in spoofed and fake audio detec- tion,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:24.975348Z

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.

source=pdf_text observed=2026-08-07T11:55:21.208642Z digest=sha256:d46833446a05b638623bb0bc89f98fa0604d12491c33129fcc8f570ad654c25c

Observation 05d4e68b-d85e-42ad-a45d-4abe950d70ab · outbound

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

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Aasist: Audio anti-spoofing using integrated spectro-temporal graph attention networks,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:21.346905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:21.346905Z digest=sha256:9bd76cb8019fdbb334c02aee6a3f7a5cc2fc4063d016c9ae31ffd6e0cabf16e9

Observation 0ad68cd1-6c78-43de-b91d-69418c3dad12 · outbound

This paper cites The vicomtech audio deepfake detection system based on wav2vec2 for the 2022 add challenge,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations The vicomtech audio deepfake detection system based on wav2vec2 for the 2022 add challenge,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:24.760439Z

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.

source=pdf_text observed=2026-08-07T11:55:21.487980Z digest=sha256:5ee11146017c6b49a9a2148c45874e940f7532a232b669f6a8557b69131e6ef4

Observation c84b8f2d-0c7d-4437-bb90-c03431785f0b · outbound

This paper cites Improved deepfake detection using whisper features,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Improved deepfake detection using whisper features,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:24.683920Z

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.

source=pdf_text observed=2026-08-07T11:55:21.621763Z digest=sha256:39a54465e23d194db6918107d7d2bb052f89aa6c600c6a708c0bfd2941cf4d16

Observation c49f75c2-f9b7-4f24-bcfd-aecea8a65c07 · outbound

This paper cites Audio deep- fake detection with self-supervised wavlm and multi-fusion attentive classifier,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Audio deep- fake detection with self-supervised wavlm and multi-fusion attentive classifier,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:24.617301Z

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.

source=pdf_text observed=2026-08-07T11:55:21.768608Z digest=sha256:7b9cb38cf50af06a1b0c672d4d059b92da55c2396207cbd8fe23726991d4a5d6

Observation 8babd6d2-a3ad-4d3d-8c83-767892f362a9 · outbound

This paper cites An initial investigation for detecting vocoder fingerprints of fake audio,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations An initial investigation for detecting vocoder fingerprints of fake audio,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:24.562905Z

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.

source=pdf_text observed=2026-08-07T11:55:21.955676Z digest=sha256:87393f3420afcca90069dc62df9d02b4a668f357a0bd422a5b24e843942a0a8e

Observation 7a61ba67-5711-4ac8-9536-4b8f72309ab6 · outbound

This paper cites Distinguishing Neural Speech Synthesis Models Through Fingerprints in Speech Waveforms.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Distinguishing Neural Speech Synthesis Models Through Fingerprints in Speech Waveforms

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:55:23.799933Z

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.

source=pdf_text observed=2026-08-07T11:55:22.159586Z digest=sha256:e55f921281ac43eabfa6dc1683e565d12091d30fe4694753e55487840dfaee38

Observation 29f31988-85b7-450d-b394-b3a352b6ba7b · outbound

This paper cites Source tracing: Detecting voice spoofing,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Source tracing: Detecting voice spoofing,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:24.498881Z

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.

source=pdf_text observed=2026-08-07T11:55:22.265161Z digest=sha256:c9f98775019d262f6f4bf989cece5356555cd479baca9a65a6aec2cf71f08e9d

Observation c3b79d0d-c61e-4d81-876e-0de91bfee75e · outbound

This paper cites Source tracing of audio deepfake systems,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Source tracing of audio deepfake systems,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:24.407446Z

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.

source=pdf_text observed=2026-08-07T11:55:22.381459Z digest=sha256:e3396307098a682753ca57ba51e7d91bf675bf4e642bbaa2da224f94c7a5c2fb

Observation 7d2e7db4-4c88-4ed0-ae1f-26af2710f8c5 · outbound

This paper cites Audio Deepfake Attribution: An Initial Dataset and Investigation.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Audio Deepfake Attribution: An Initial Dataset and Investigation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:22.507284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:22.507284Z digest=sha256:782fa059ded1cefd00c00d4a737115b1d5b6e071ebb2a7d4d8df65695e05c4ff

Observation e011e271-34f0-4c39-b2f2-fae66a540ba9 · outbound

This paper cites Attribution of diffusion based deepfake speech generators,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Attribution of diffusion based deepfake speech generators,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:24.341197Z

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.

source=pdf_text observed=2026-08-07T11:55:22.636558Z digest=sha256:4a509dc5aed1edc8d35dd463eb5d17ac1f9e6986e10a45ee69d1da2333b94cf0

Observation bdc98a69-0f02-49e3-ac08-6914e78cf405 · outbound

This paper cites Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:22.751688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:22.751688Z digest=sha256:5978ce0c1ffcfd1274da7a769773b6eff5806ac07738ad827809d1ec08c0b0a1

Observation 187d782f-4e62-4dc6-bddb-8a506924e2e5 · outbound

This paper cites Trillsson: Distilled universal paralinguis- tic speech representations,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Trillsson: Distilled universal paralinguis- tic speech representations,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:24.274659Z

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.

source=pdf_text observed=2026-08-07T11:55:22.860886Z digest=sha256:9bcbc0a7c912e8df0aafc191e0724fe07fb57b14ccd4622c8f48704c0af10ab7

Observation 39ea72bb-b947-45dc-a6ea-0b1d988d6322 · outbound

This paper cites Heterogeneity over homogeneity: Investigating multilingual speech pre-trained models for detecting audio deepfake,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Heterogeneity over homogeneity: Investigating multilingual speech pre-trained models for detecting audio deepfake,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:24.196081Z

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.

source=pdf_text observed=2026-08-07T11:55:22.988460Z digest=sha256:5a3a2e233ab09b2ac2c5ddcfabf4006bffd4cffd8eda324c3681d190f192b79b

Observation 087d5957-744c-4c38-95c9-1864d87694c0 · outbound

This paper cites Investigation of ensemble of self-supervised models for speech emotion recognition,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Investigation of ensemble of self-supervised models for speech emotion recognition,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:24.135591Z

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.

source=pdf_text observed=2026-08-07T11:55:23.130025Z digest=sha256:b145d43d72b90fd0f70e5943013c674a199818c7c7a14327268c2f2d1b4e49ba

Observation 6d6825af-4381-490e-8c0b-36d60019be5d · outbound

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

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:23.304269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.304269Z digest=sha256:75be7a9d1cc682efdff6c84951e77a05551e97b2afb3715be07a7e12e2a5d802

Observation e29f74af-be0b-4127-bc27-bade42cefa7c · outbound

This paper cites Wavlm: Large-scale self-supervised pre- training for full stack speech processing,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Wavlm: Large-scale self-supervised pre- training for full stack speech processing,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:23.464646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.464646Z digest=sha256:5051fcaacc2b69c749c0c6c896bb099dbe623ef06f899c6b229d47553b49ad7a

Observation 1753e292-baf5-4164-9fe6-35e8c806b4d9 · outbound

This paper cites Unispeech-sat: Universal speech representation learning with speaker aware pre-training,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Unispeech-sat: Universal speech representation learning with speaker aware pre-training,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:24.064168Z

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.

source=pdf_text observed=2026-08-07T11:55:23.572857Z digest=sha256:e3bc479bf398b90371fad76e38be2014a90b75b5120cd9ba60f3b7ca002ddaec

Observation 1ed50c70-509f-4f25-8f41-c4fafef3b5e8 · outbound

This paper cites Xls-r: Self-supervised cross-lingual speech representation learning at scale,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Xls-r: Self-supervised cross-lingual speech representation learning at scale,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:23.996634Z

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.

source=pdf_text observed=2026-08-07T11:55:23.607147Z digest=sha256:af71d83cd56e9c6d320d63768651fe101ff7268a4b3aac6b09e534d09d860ca6

Observation 5ff1adfd-8fc9-4eec-b481-001c2194bd7c · outbound

This paper cites Robust speech recognition via large-scale weak supervi- sion,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Robust speech recognition via large-scale weak supervi- sion,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:23.618210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.618210Z digest=sha256:a6d30658de02aef5b63ebb64dfc180d5cd290b1983a0a489dd0c16eef8213dee

Observation 19e0b6e1-1644-4cc7-a4ea-ad9c742e3be4 · outbound

This paper cites Scaling speech technology to 1,000+ languages,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Scaling speech technology to 1,000+ languages,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:23.630128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.630128Z digest=sha256:4fcd90a7f78858bb5a1e7e6a49607348dd1fa385948d43e92ce611fb5b011781

Observation d275637a-d910-41dd-9f7c-57071994fb9c · outbound

This paper cites X-vectors: Robust dnn embeddings for speaker recognition,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations X-vectors: Robust dnn embeddings for speaker recognition,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:23.921537Z

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.

source=pdf_text observed=2026-08-07T11:55:23.639343Z digest=sha256:b0956741fcff8b06455e140af7e88bfa07ee35e0f0848b4a4135ff01104e17b4

Observation ce4dc26a-d000-48e4-90bc-1952f57f75c7 · outbound

This paper cites Ecapa-tdnn: Emphasized channel attention, propagation and aggregation in tdnn based speaker verification,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Ecapa-tdnn: Emphasized channel attention, propagation and aggregation in tdnn based speaker verification,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:23.891046Z

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.

source=pdf_text observed=2026-08-07T11:55:23.649515Z digest=sha256:cce4166c49efa6de034a83a3728a59fc1159be697b4992ff13011eb5d8095a28

Observation 7990be98-3eac-4838-9b77-f7c58fe97f88 · outbound

This paper cites Asvspoof 2019: A large-scale public database of synthesized, converted and replayed speech,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Asvspoof 2019: A large-scale public database of synthesized, converted and replayed speech,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:23.856699Z

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.

source=pdf_text observed=2026-08-07T11:55:23.660637Z digest=sha256:c6efaeacbf63c7bb533a429fe6f421811df417442090062b9475682e587a3e9f

Observation 1626e9b5-5303-42ee-95c1-f94a00e6c7e9 · outbound

This paper cites Cfad: A chinese dataset for fake audio detection,.

Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations Cfad: A chinese dataset for fake audio detection,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:55:23.831121Z

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.

source=pdf_text observed=2026-08-07T11:55:23.673253Z digest=sha256:cc34017c20c8c58fd1e488f6c573e68598def5885fa42893d7a1520cdd73fd23

Pith citing papers

No inbound Pith citation observations are available.