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Paper Citation Record · LEDGER

Open-Set Source Tracing as Compositional Factors via Structured Prototypes

As of 9 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 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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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:fa2b57a516aa6c9c5fed5c4b555a0f916d5350efd327a2224212a2a4baee857e

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:fb42c2e13a27ca3e9a0d9a4fa83a2be18addf33667e603b44d2853cb076b4c5d

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=sha256:92340bf1a09830cbfaa28cc48e6750173e8fd152621c6af3f2e145ea6889e063

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:f3d71b1f0323b53d202a65235d1cec87eadd8f027c67c9756ba220581eab8b42

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:ed584af8b213c582664deb0edac41733f091cf9ebd4661b6496b2e12ab61b6a1

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=sha256:4632139cc1b8a4dd644d2d805297fa37ae5ac0d5b92387c6f4a5a0dd853bb71f

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=sha256:6dfe02e693f5aacfb734b33f7876832e7a430f1307bfb039c407118d99be8dfb

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=sha256:2d248fef0023fe1884a98c64f395d03e1c274e119c703857d8aafade85512b14

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:a6e4f51a4af93070ab31b37dbff3eec3748c1ff37033c09e2482465c4e3a69e4

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:cafebacdfe4b32e69dcb573a5bbbeea2ab7354bf4b9dbe6862497f75758a9113

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=sha256:3cfff36615307e42bd4803f3518af03d51fe8a9b6336f8cd178f25994f17c23e

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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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:927ee5b878b2d5a211a1343125449e046233c14aac6ddee060c92321eae820d6

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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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=sha256:8869ff6b9474b085139f09d7690dea8832ade5de4f801ff0ee7728f0330c9abc

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=sha256:7be6cd3e612ff20b9f0181e996d5764ee4c0c870450d29835f1e63e78fd412f1

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=sha256:581fff3928d9bc7bac2cc47b5cd3a091faa7ef84ac3bcc34f1c9b4030e4e9ac5

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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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:31a207e5d72b056ac140804bc3de4e193c804264dfbf85e3b4170fbe57624f1e

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=sha256:6bda8fbbd5c9840fedcb47f8249714e924fb23a2598badc30106ffd16f3c723a

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=sha256:7c76652b6c22f64a553de5aecf62bdd14b60717b91ed955a206be920d05b6a3b

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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source=pdf_text observed=2026-07-12T04:39:19.585879Z digest=sha256:3f87ca0e2cdcf90d2bde417a77c7c048a25ab31badc1040c5afdcdb46a56b409

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=sha256:08cca70c6438a788e4350f1679b6a7b231ac1ca56c1fe32f05f0fce73eb3f0c1

Pith citing papers

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