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Paper Citation Record · LEDGER

Open-Set Source Tracing of Audio Deepfake Systems

As of 7 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2507.06470.

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

pith.paper-citation-record.v1
2507.06470 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:12:12.744701Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:12:09.703914Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T19:12:12.981669Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact1
  • verified fuzzy32
  • unresolved6
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93f7a6e6-1c1c-4583-ad7e-4b5d6cdb5e1d · outbound

This paper cites an unresolved cited work.

Open-Set Source Tracing of Audio Deepfake Systems Unresolved cited work

Reference 1

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ece19bbe-e686-4fc1-9d93-f971bb30b48e · outbound

This paper cites [19] introduced Energy-based Open-World Soft- max which adds an output logit to estimate the model’s uncer- tainty.

Open-Set Source Tracing of Audio Deepfake Systems [19] introduced Energy-based Open-World Soft- max which adds an output logit to estimate the model’s uncer- tainty

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d22e84e9-278b-45f1-991d-36ac4825b1e0 · outbound

This paper cites Dataset and Metrics In this work, we adopt the source tracing protocol based on the MLAAD [25] dataset [17] 1.

Open-Set Source Tracing of Audio Deepfake Systems Dataset and Metrics In this work, we adopt the source tracing protocol based on the MLAAD [25] dataset [17] 1

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3d8dbf7c-7947-402b-ab23-bf031b61086d · outbound

This paper cites Applying softmax on the logits accentuates their skew before computing energy.

Open-Set Source Tracing of Audio Deepfake Systems Applying softmax on the logits accentuates their skew before computing energy

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:09.757877Z digest=sha256:13e84bca29646c575fc8368061e29b056d1d24ac72552e1d6c7d7ebd32788ad9

Observation 2c4095e9-a7d2-4930-9753-bd14ba5bf966 · outbound

This paper cites [22] proposes adding two squared hinge loss terms to the cross-entropy loss to encourage separation by energy score.

Open-Set Source Tracing of Audio Deepfake Systems [22] proposes adding two squared hinge loss terms to the cross-entropy loss to encourage separation by energy score

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:09.813806Z digest=sha256:c0249c7d409a4b5b2195544ca7555760bc7649ab4c39753528a6074d99aead45

Observation 9337a2a1-c0ae-4201-84a4-a70f55b503a9 · outbound

This paper cites Implementation Details For the remaining experiments, we follow the setting of the baseline model with LMCL, except computing Dev perfor- mance using SME.

Open-Set Source Tracing of Audio Deepfake Systems Implementation Details For the remaining experiments, we follow the setting of the baseline model with LMCL, except computing Dev perfor- mance using SME

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:09.875702Z digest=sha256:26ccd0b29da3fa75ec931dcd01b99f7531fc9e83df4a8fa9e4839c51c4971551

Observation 0d1394a3-100e-48a4-b636-ce9c3eff6730 · outbound

This paper cites Replacing the typi- cal temperature-scaled energy score with SME provides a rela- tive improvement in average FPR95 of 31% across our experi- ments.

Open-Set Source Tracing of Audio Deepfake Systems Replacing the typi- cal temperature-scaled energy score with SME provides a rela- tive improvement in average FPR95 of 31% across our experi- ments

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6fb31466-adef-4f72-b476-311733d508d0 · outbound

This paper cites Deepfake algorithm recognition system with augmented data for add 2023 challenge.

Open-Set Source Tracing of Audio Deepfake Systems Deepfake algorithm recognition system with augmented data for add 2023 challenge

Reference 8

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raw_fallback, observed 2026-08-06T19:12:13.347107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:10.522860Z digest=sha256:efd36bf9faff83c9d0c7b2f3a473fb802cf884e1c9eefc4941be99d3a816f9bf

Observation 721c26eb-c294-408d-a019-ee68e543e46a · outbound

This paper cites Generalized source tracing: Detecting novel audio deep- fake algorithm with real emphasis and fake dispersion strategy,.

Open-Set Source Tracing of Audio Deepfake Systems Generalized source tracing: Detecting novel audio deep- fake algorithm with real emphasis and fake dispersion strategy,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:10.025827Z digest=sha256:ad43eb8171dc3c2887d0665c799be20cdc9913ccc35dc3c3b7054daa87d23a35

Observation 1e996723-90dc-4057-a634-51c72547898a · outbound

This paper cites Attacker attri- bution of audio deepfakes,.

Open-Set Source Tracing of Audio Deepfake Systems Attacker attri- bution of audio deepfakes,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:10.065592Z digest=sha256:d66fe542f57dbeea4d194d6aa70569c278910be6e1c7b112a3fd4f27d0537ca5

Observation 4fa0b54b-0c9a-4939-8a31-3df4905b9ca8 · outbound

This paper cites Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set Condition.

Open-Set Source Tracing of Audio Deepfake Systems Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set Condition

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:12:10.135879Z digest=sha256:72c18d9aa79db4ed68ae039e396b9e6ba800384397806cdebc5a54d2d00888e5

Observation 7de51b3b-1194-4566-b2d5-20adaa2d172a · outbound

This paper cites Synthetic speech detection through short-term and long-term prediction traces,.

Open-Set Source Tracing of Audio Deepfake Systems Synthetic speech detection through short-term and long-term prediction traces,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:10.219785Z digest=sha256:f2d0413348b681b3429f74c2cfcfd3085d6792971f4fa908a414a8dc19c778af

Observation adfc4e81-0ec7-4039-b49f-18abbbf58be9 · outbound

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

Open-Set Source Tracing of Audio Deepfake Systems Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution

Reference 13

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no resolver link, observed 2026-08-06T19:12:10.291772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:12:10.291772Z digest=sha256:6bafbc9c3dc9c627cb8ce6029c94710a7440e2f952fe730ee44527413cc69d8f

Observation 6c6d67dc-9bf3-45a1-b4af-cde0e2c5a918 · outbound

This paper cites ADD 2023: the second au- dio deepfake detection challenge,.

Open-Set Source Tracing of Audio Deepfake Systems ADD 2023: the second au- dio deepfake detection challenge,

Reference 14

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raw_fallback, observed 2026-08-06T19:12:13.375574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:10.345515Z digest=sha256:733912c8b28052449e2e338f94c7899e40d0889387aa934b8931447cbf4255dd

Observation 036ca3fc-a76f-454f-b267-13fc609f1fbb · outbound

This paper cites Detect- ing unknown speech spoofing algorithms with nearest neighbors.

Open-Set Source Tracing of Audio Deepfake Systems Detect- ing unknown speech spoofing algorithms with nearest neighbors

Reference 15

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raw_fallback, observed 2026-08-06T19:12:13.362052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:10.459785Z digest=sha256:6f706cd8b1b108b25faaea9e94f9a4dd043df62356fa91bed6adaaf25c32345b

Observation 49bd846a-d98e-421b-a1c9-1a648033d330 · outbound

This paper cites Towards Explainable Spoofed Speech Attribution and Detection:a Probabilistic Approach for Characterizing Speech Synthesizer Components.

Open-Set Source Tracing of Audio Deepfake Systems Towards Explainable Spoofed Speech Attribution and Detection:a Probabilistic Approach for Characterizing Speech Synthesizer Components

Reference 16

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no resolver link, observed 2026-08-06T19:12:11.054797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:12:11.054797Z digest=sha256:2f8d4ad56ea1f8effe032116eddd6901553bfd261c85b82951b8df88674aa29c

Observation 89c6ca5c-ea61-489b-9eed-4b0583ff1a6e · outbound

This paper cites The npu-aslp system for deepfake algorithm recognition in add 2023 challenge.

Open-Set Source Tracing of Audio Deepfake Systems The npu-aslp system for deepfake algorithm recognition in add 2023 challenge

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5241f5e7-09ba-4f6c-9da0-79484a6d8ee4 · outbound

This paper cites Deepfake algorithm recog- nition through multi-model fusion based on manifold measure.

Open-Set Source Tracing of Audio Deepfake Systems Deepfake algorithm recog- nition through multi-model fusion based on manifold measure

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 27f390e7-67ce-4dcb-b8c3-05ff85d13f17 · outbound

This paper cites From speaker verification to deepfake algorithm recognition: Our learned lessons from add2023 track 3.

Open-Set Source Tracing of Audio Deepfake Systems From speaker verification to deepfake algorithm recognition: Our learned lessons from add2023 track 3

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c2b52cbd-f5cd-4d3f-9d2b-446539411489 · outbound

This paper cites Open-Set Source Tracing of Audio Deepfake Systems.

Open-Set Source Tracing of Audio Deepfake Systems Open-Set Source Tracing of Audio Deepfake Systems

Reference 20

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verified exact
local_arxiv, observed 2026-08-06T19:12:12.988478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1ab7833e-6bed-4aa9-b2c6-484d3274e4a8 · outbound

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

Open-Set Source Tracing of Audio Deepfake Systems An initial investigation for detecting vocoder fingerprints of fake audio,

Reference 21

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raw_fallback, observed 2026-08-06T19:12:13.291287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 98f8baf2-ac1b-4298-97b2-5fddb5eda2e0 · outbound

This paper cites Source tracing: detecting voice spoofing,.

Open-Set Source Tracing of Audio Deepfake Systems Source tracing: detecting voice spoofing,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:10.850624Z digest=sha256:448b119d3cc91c3cb6d2f8871b1f917a1cd66545d003e848a5ad8b3a6780b66c

Observation 49b2d398-7860-44fb-b483-c3f81fa1f0ca · outbound

This paper cites Source trac- ing of audio deepfake systems,.

Open-Set Source Tracing of Audio Deepfake Systems Source trac- ing of audio deepfake systems,

Reference 23

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raw_fallback, observed 2026-08-06T19:12:13.263891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:10.919911Z digest=sha256:99036706af101d46bbace55f95ed5b3e11511559bc86d02018ff75600585a2c8

Observation b552da15-cae5-41c9-a03d-e8d63d2322be · outbound

This paper cites Distinguish- ing neural speech synthesis models through fingerprints in speech waveforms,.

Open-Set Source Tracing of Audio Deepfake Systems Distinguish- ing neural speech synthesis models through fingerprints in speech waveforms,

Reference 24

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raw_fallback, observed 2026-08-06T19:12:13.250792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ab6a8ecd-4f8d-4fd4-be8b-bc6c7eff5fca · outbound

This paper cites Using mlaad for source tracing of audio deepfakes,.

Open-Set Source Tracing of Audio Deepfake Systems Using mlaad for source tracing of audio deepfakes,

Reference 25

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raw_fallback, observed 2026-08-06T19:12:13.235525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:11.100341Z digest=sha256:b00bf8e7438c08d500cb882dc106592e06fc9d95eba8f1dc979cf770b42c32fd

Observation 4585f412-d45e-458d-98b3-0c93499bf7b4 · outbound

This paper cites ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech.

Open-Set Source Tracing of Audio Deepfake Systems ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech

Reference 26

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unresolved
no resolver link, observed 2026-08-06T19:12:11.169101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:12:11.169101Z digest=sha256:baab5c24db8f9bdf04c5876b5a8e25dac1f86fbb29c770466cca3d52e0f7c7be

Observation 0f24acd8-2f16-44b0-bf11-0d505adf2141 · outbound

This paper cites Improv- ing the robustness of deepfake audio detection through confidence calibration.

Open-Set Source Tracing of Audio Deepfake Systems Improv- ing the robustness of deepfake audio detection through confidence calibration

Reference 27

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raw_fallback, observed 2026-08-06T19:12:13.222237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:11.222330Z digest=sha256:2f252d9f7b3b3837ee3411f177e7c23fe009ba8db4a8a16c65e8d7c53fc371b7

Observation 5a067d1a-8b83-48c6-9c36-da21267652dc · outbound

This paper cites A simple unified framework for detecting out-of-distribution samples and adversarial attacks,.

Open-Set Source Tracing of Audio Deepfake Systems A simple unified framework for detecting out-of-distribution samples and adversarial attacks,

Reference 28

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raw_fallback, observed 2026-08-06T19:12:13.209090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:11.275717Z digest=sha256:3d54ddc6a57f5a9657926c88aeb713adffa5622ad47d40f8a5be84274c744825

Observation 60f31383-1a37-4271-aef2-5a9be8f38334 · outbound

This paper cites A baseline for detecting misclassi- fied and out-of-distribution examples in neural networks,.

Open-Set Source Tracing of Audio Deepfake Systems A baseline for detecting misclassi- fied and out-of-distribution examples in neural networks,

Reference 29

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raw_fallback, observed 2026-08-06T19:12:13.195743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:11.387469Z digest=sha256:34a70aca947be24b37d408fafae8c61984a09f0a708ef47b2036afae76676658

Observation 9257543e-fb92-4f8f-be3c-4775279e5369 · outbound

This paper cites Energy-based out-of- distribution detection,.

Open-Set Source Tracing of Audio Deepfake Systems Energy-based out-of- distribution detection,

Reference 30

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raw_fallback, observed 2026-08-06T19:12:13.182895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:11.470840Z digest=sha256:08df8f2aefb5c0c405b3f78c614335e6fee3bfe288ebc680f9f72111396510d2

Observation b708a56c-0c30-4ec8-8387-6f3b1ac15219 · outbound

This paper cites Enhancing the reliability of out-of-distribution image detection in neural networks,.

Open-Set Source Tracing of Audio Deepfake Systems Enhancing the reliability of out-of-distribution image detection in neural networks,

Reference 31

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raw_fallback, observed 2026-08-06T19:12:13.168928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:11.552685Z digest=sha256:1f08480a8107c3bd3d82f6c070bccf934b68e069731495017991439f1d98dca2

Observation bc35fa20-3ff9-44da-9a15-995cf193a9da · outbound

This paper cites CosFace: Large margin cosine loss for deep face recognition,.

Open-Set Source Tracing of Audio Deepfake Systems CosFace: Large margin cosine loss for deep face recognition,

Reference 32

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raw_fallback, observed 2026-08-06T19:12:13.152869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:11.605145Z digest=sha256:2612377b342f2f56afbc8fd6e0143b9051e045d7029aced41ffcf206403f8273

Observation 2f05ada7-e3e9-4997-a537-41fba197adae · outbound

This paper cites MLAAD: The multi-language audio anti-spoofing dataset,.

Open-Set Source Tracing of Audio Deepfake Systems MLAAD: The multi-language audio anti-spoofing dataset,

Reference 33

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raw_fallback, observed 2026-08-06T19:12:13.139714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:11.680098Z digest=sha256:5078205901fbb5bf0105b54dac5ce08a54be00eaf02bc1aecac2835348de5726

Observation 96a89363-4263-4f67-ba66-0aed16ff0213 · outbound

This paper cites Open category detection with pac guarantees,.

Open-Set Source Tracing of Audio Deepfake Systems Open category detection with pac guarantees,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:13.126215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:11.754428Z digest=sha256:d4526e3a4826f75e70a7496453d76b9f5b9bea6c2a3dfba3aa5bee8a2b315ae7

Observation 5b39d328-dd33-460a-8e5c-8f87fee6af36 · outbound

This paper cites Deep anomaly detection with outlier exposure,.

Open-Set Source Tracing of Audio Deepfake Systems Deep anomaly detection with outlier exposure,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:13.112186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:11.759297Z digest=sha256:a109ec22e1f21187288f53460796f64e68416a31f0319dfb6384a8633fcb9b1e

Observation 04fba9a6-7750-4381-82d6-755ca4a7a96e · outbound

This paper cites MCE 2018: The 1st multi-target speaker detection and identification challenge evaluation,.

Open-Set Source Tracing of Audio Deepfake Systems MCE 2018: The 1st multi-target speaker detection and identification challenge evaluation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:13.098609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:11.855175Z digest=sha256:b1ad77d047ca7ddd3615af8b5c684d10d38930a43855110638cb0e9ae363fb90

Observation 6b046893-7238-4cb2-b033-67a4bb9045ba · outbound

This paper cites Deep residual learning for image recognition,.

Open-Set Source Tracing of Audio Deepfake Systems Deep residual learning for image recognition,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T19:12:11.970205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:12:11.970205Z digest=sha256:7af3529f79155f14bc3981f68d5d1a8b39d59229edf7713f5357ffd8e1b50dbb

Observation 1750f2ec-c876-4713-bdad-7c8b10555ecc · outbound

This paper cites ASVspoof 5: Crowdsourced speech data, deepfakes, and adversarial attacks at scale,.

Open-Set Source Tracing of Audio Deepfake Systems ASVspoof 5: Crowdsourced speech data, deepfakes, and adversarial attacks at scale,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:13.074772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:12.084489Z digest=sha256:3965f4df257208d6089549061225ebb34dab5df5cb71021ae4ce308a89c783dc

Observation 3834d581-fff9-4052-a79f-918f23ffcbf9 · outbound

This paper cites Neural source-filter waveform models for statistical parametric speech synthesis,.

Open-Set Source Tracing of Audio Deepfake Systems Neural source-filter waveform models for statistical parametric speech synthesis,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:13.060145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:12.244305Z digest=sha256:cafb0b74c3a33e4e31adcbd7db098c62892606c333810ee491649e90ff13c425

Observation e9661f5a-8936-4911-b43b-ff9251399753 · outbound

This paper cites Waveglow: A flow-based generative network for speech synthesis,.

Open-Set Source Tracing of Audio Deepfake Systems Waveglow: A flow-based generative network for speech synthesis,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:13.045273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:12.369141Z digest=sha256:4fda1d741f0a5facba52cf667425d19469c44cb25c6ac440542985fb8be28f1f

Observation ae6cbd99-850e-439c-91dc-be9adafa71ba · outbound

This paper cites HiFi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis,.

Open-Set Source Tracing of Audio Deepfake Systems HiFi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:13.031129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:12.496417Z digest=sha256:a10a5e91b34be6230d38947695a10e855329b245f4298aecd07d38035e6d1ec1

Observation 3790e537-d234-40a2-a771-ab16020542ee · outbound

This paper cites Spoofed training data for speech spoofing countermeasure can be efficiently created using neural vocoders,.

Open-Set Source Tracing of Audio Deepfake Systems Spoofed training data for speech spoofing countermeasure can be efficiently created using neural vocoders,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:13.016438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:12.645340Z digest=sha256:769515adc449777bddd9dcb88fe81091c05fc091e0d6b06cce8731a4cdbbb823

Observation 5a30bec9-56ed-486d-b30c-7d8a938cfea4 · outbound

This paper cites librosa: Audio and music signal analysis in python,.

Open-Set Source Tracing of Audio Deepfake Systems librosa: Audio and music signal analysis in python,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:13.002967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:12.744701Z digest=sha256:1182b20cc3198bbf98f94b81588ec4d01fab25b42c2bb8daa5cf064993486a5c

Pith citing papers

Observation c2b52cbd-f5cd-4d3f-9d2b-446539411489 · inbound

Open-Set Source Tracing of Audio Deepfake Systems cites this paper.

Open-Set Source Tracing of Audio Deepfake Systems Open-Set Source Tracing of Audio Deepfake Systems

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:12:12.988478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:12:09.703914Z digest=sha256:c30e66688761a704030dbcd4065eb7dcd6921ab6554b112eb357082bbdeb7d47