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Paper Citation Record · LEDGER

Open-Set Source Tracing as Compositional Factors via Structured Prototypes

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.03134.

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

pith.paper-citation-record.v1
2607.03134 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T04:39:19.585879Z

measured 28 of 28 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

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Reference resolution

28 of 28 outbound references displayed

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Outbound references

Observation af9996df-621d-4efb-b638-68619aead0b0 · outbound

This paper cites Asvspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Asvspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge,

Reference 1

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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:fcbc55cce4b3b407d58c42b6d8ae07eb42e0bbf4e944833db917b047dbecc97a

Observation 9720b5e7-fb54-4ff0-9395-75d6e89cd66b · outbound

This paper cites The asvspoof 2017 challenge: Assessing the limits of replay spoofing attack detection,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes The asvspoof 2017 challenge: Assessing the limits of replay spoofing attack detection,

Reference 2

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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:49adf78aced23f650d278b2b3e268f2d80361d5c5c112a8d05e9ab749b4b8bc5

Observation 24d1a981-63ee-4592-a51f-a3c3eb1e3c85 · outbound

This paper cites Asvspoof 2019: Future horizons in spoofed and fake audio detection,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Asvspoof 2019: Future horizons in spoofed and fake audio detection,

Reference 3

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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:f595f7ff16ffc4471f205191929c92deef595cd6ee6486482a4d76d15d617fce

Observation 37523f8f-3b3f-46f9-8866-f49b0bb99bff · outbound

This paper cites Asvspoof 2021: Towards spoofed and deepfake speech detection in the wild,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Asvspoof 2021: Towards spoofed and deepfake speech detection in the wild,

Reference 4

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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:caa7aced2acf4e89755f67b2ce7b4d8e4ac68315453f83649e844d114267c49f

Observation a2e3d9e3-a7ba-4a0b-8ca8-e274880bcdc4 · outbound

This paper cites ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 5

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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:2fb33784155b580782e8f3a2b33109595baf7238675206531de1415aa7e66697

Observation 6235da66-d002-4b40-a789-14480eb5062a · outbound

This paper cites Add 2022: the first audio deep synthesis detection challenge,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Add 2022: the first audio deep synthesis detection challenge,

Reference 6

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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:28c98c5ee47fae873ba1f365a7d7dd057a4a38d53d4800ed9f3bf9b8b8889d74

Observation c4d975b5-2ecb-4aea-b61e-19472b1b58f4 · outbound

This paper cites Add 2023: the second audio deepfake detection challenge,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Add 2023: the second audio deepfake detection challenge,

Reference 7

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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:3806c4af17144965c75c40e821fa8683336b1e869c82bb2589fa048b8f2e805a

Observation f7c29a48-5d64-4bf6-a26d-59a624811726 · outbound

This paper cites Source Tracing of Audio Deepfake Systems,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Source Tracing of Audio Deepfake Systems,

Reference 8

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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:67f2a9bda782eb3ba4972b3c2c223b6eb67df577220859d26bb225ea302ba4f5

Observation 923af447-99f3-4d87-a0af-fa6d1518c26a · outbound

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

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Mlaad: The multi-language audio anti-spoofing dataset,

Reference 9

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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:78cfccce17f07d13230f5149b1ef5813cbef2af1351ffc673d4e3a957e545dba

Observation 6f3600d6-ec7c-483c-939f-e2729d240829 · outbound

This paper cites STOPA: A Dataset of Systematic VariaTion Of DeePfake Audio for Open-Set Source Tracing and Attribution,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes STOPA: A Dataset of Systematic VariaTion Of DeePfake Audio for Open-Set Source Tracing and Attribution,

Reference 10

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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:6e964edafc3ef01d46a34ae103bbc5cac5dcaa39421e195fb25688a66d5d66b2

Observation 6a429d88-5668-485e-91de-3a2666823a6e · outbound

This paper cites CodecFake+: Codec-Based Resynthesized Data as a Proxy for Detecting CodecFake Speech.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes CodecFake+: Codec-Based Resynthesized Data as a Proxy for Detecting CodecFake Speech

Reference 11

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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:c7f4d0ec15d60cf06f8d7d0ec351db91f8ff999a1ff2fc2b28a767a994a09f76

Observation 7b78f1b4-abbe-45f1-94ba-cd7ae1595134 · outbound

This paper cites Audio Deepfake Source Tracing using Multi-Attribute Open-Set Identification and Verification,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Audio Deepfake Source Tracing using Multi-Attribute Open-Set Identification and Verification,

Reference 12

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Observation 706a29a5-7a1c-4bef-bfc0-b208ac3d310f · outbound

This paper cites Codec-Based Deepfake Source Tracing via Neural Audio Codec Taxonomy,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Codec-Based Deepfake Source Tracing via Neural Audio Codec Taxonomy,

Reference 13

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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:e94f74b62e0d2483eb49e8a4f64e30c671b69f38c8aef525967867b8c4d2ee21

Observation 44c374c6-2f10-49a2-abae-e188bf58ed49 · outbound

This paper cites Advancing Zero-Shot Open-Set Speech Deepfake Source Tracing,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Advancing Zero-Shot Open-Set Speech Deepfake Source Tracing,

Reference 14

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Observation c6e856fb-b98d-4b5e-af70-0511156671ff · outbound

This paper cites Source Verification for Speech Deepfakes ,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Source Verification for Speech Deepfakes ,

Reference 15

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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:135e67491b8ea06b8983d8e8a6c679ea900de2c64d6c8acc0643aa2da4e9459c

Observation 2f4a850d-a9ec-49e4-98d9-10cb4c47d8e7 · outbound

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

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Open-Set Source Tracing of Audio Deepfake Systems,

Reference 16

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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:9543b1b9020cf3a0bd388b7c883007ccdbacc2c36a48a9ff6394ae6b0a439ac1

Observation dda83bd7-9976-45ad-b262-4b046d69756f · outbound

This paper cites How people make their own environments: A theory of genotype→environment effects,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes How people make their own environments: A theory of genotype→environment effects,

Reference 17

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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:98274a9af6ef5e67694c717873871902f0eee2c3a06ee971f5cb600ae7040d0d

Observation e91bac62-4928-4ab2-aa47-43830dfed233 · outbound

This paper cites Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion,

Reference 18

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Observation 87240aef-47cb-4ac7-9195-990a1f642c96 · outbound

This paper cites Syn- thetic Speech Source Tracing using Metric Learning,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Syn- thetic Speech Source Tracing using Metric Learning,

Reference 19

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Observation 865bcf74-6f47-4a33-a5f5-b8d4204cad1a · outbound

This paper cites Predefined Prototypes for Intra-Class Separation and Disentanglement,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Predefined Prototypes for Intra-Class Separation and Disentanglement,

Reference 20

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Observation 323761b3-32cc-4767-8f78-386da5a783f1 · outbound

This paper cites An interpretable deep learning model for automatic sound classification,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes An interpretable deep learning model for automatic sound classification,

Reference 21

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Observation 5b6435c3-04ce-4833-a0ce-ac117b8e7602 · outbound

This paper cites Assessing the impact of speaker identity in speech spoofing detection,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Assessing the impact of speaker identity in speech spoofing detection,

Reference 22

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Observation 970da1f0-c1cc-46a8-aa18-e89e97e8cbd3 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Arcface: Additive angular margin loss for deep face recognition,

Reference 23

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Observation 8fb4a534-376b-49e4-92ec-f8f2bc4a50d1 · outbound

This paper cites Extensions of lipschitz mappings into a hilbert space,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Extensions of lipschitz mappings into a hilbert space,

Reference 24

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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:4122b63d032126a5eed45f645ac5c189ea6b6d3096776d4026d6442de259b686

Observation 24d71271-26b6-4100-9e29-16a6278cd8f6 · outbound

This paper cites Ring loss: Convex feature nor- malization for face recognition,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Ring loss: Convex feature nor- malization for face recognition,

Reference 25

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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:58226f93b896d317b959d8cab050a4bb5a771c6f440519cc8be6539da6504523

Observation ef078d80-5c9f-4ee9-9a4f-62cf570450cb · outbound

This paper cites Vicreg: Variance-invariance- covariance regularization for self-supervised learning,.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Vicreg: Variance-invariance- covariance regularization for self-supervised learning,

Reference 26

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Observation 4a5fc495-02b9-40fa-9939-7e99f021db22 · outbound

This paper cites MLS: A Large-Scale Multilingual Dataset for Speech Research.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes MLS: A Large-Scale Multilingual Dataset for Speech Research

Reference 27

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Observation c6a0352d-d647-4bd6-97c4-08c3d20dcdd6 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Open-Set Source Tracing as Compositional Factors via Structured Prototypes Deep Residual Learning for Image Recognition

Reference 28

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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:4e9975dc1e9b91ded699468244a35f62747c65b4b858609ce3063e615ccbc041

Pith citing papers

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