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Paper Citation Record · LEDGER

Analysis of ABC Frontend Audio Systems for the NIST-SRE24

As of 11 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2505.15320.

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

pith.paper-citation-record.v1
2505.15320 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:22:49.233668Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:22:46.966917Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:22:49.739470Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved11
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c93bf789-6be9-4834-bf48-5a8a5dbf01c0 · outbound

This paper cites Analysis of ABC Frontend Audio Systems for the NIST-SRE24.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Analysis of ABC Frontend Audio Systems for the NIST-SRE24

Reference 1

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metadata mismatch
local_arxiv, observed 2026-08-07T15:22:49.841052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 75f726a7-8644-4ab7-8b1a-78f84cdde720 · outbound

This paper cites Training data and augmentations For the fixed condition, we used the NIST CTS Superset [4] to train the embedding extractors.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Training data and augmentations For the fixed condition, we used the NIST CTS Superset [4] to train the embedding extractors

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:22:53.186621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation fd5a8c48-8459-4482-8de9-9525583a8633 · outbound

This paper cites an unresolved cited work.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Unresolved cited work

Reference 3

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T15:22:49.588792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:22:47.115257Z digest=sha256:8ab906b1dabb96372b71bd9c24ca7958e70823c0697dd8d204cd20966f99c48e

Observation 3f465196-e4c5-4ce9-aa78-81982d12e7c7 · outbound

This paper cites With the aim of building a strong frontend, we explored various architectures, pooling methods, and models pre-trained in a self-supervised way.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 With the aim of building a strong frontend, we explored various architectures, pooling methods, and models pre-trained in a self-supervised way

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T15:22:53.000134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:22:47.182873Z digest=sha256:4424484033ed8be57ef0bf37fd76677d48ca2678ea74adf948648569ea7af367

Observation 5d1415da-f534-47bf-b921-afabd7aa0261 · outbound

This paper cites an unresolved cited work.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Unresolved cited work

Reference 5

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unresolved
no resolver link, observed 2026-08-07T15:22:47.242435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:22:47.242435Z digest=sha256:f057fe56b040fac0d3f77bfb16422ab6ba96e6a740961d07c9a4975928bb0d28

Observation 472fc255-ebcd-46d6-b213-b68dea6191ea · outbound

This paper cites V oxceleb: A large- scale speaker identification dataset,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 V oxceleb: A large- scale speaker identification dataset,

Reference 6

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unresolved
no resolver link, observed 2026-08-07T15:22:47.297427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:22:47.297427Z digest=sha256:6ceb49b8b73147bfa24eb140d2910bea1990f0d1378da8c40310612fe6b6fc72

Observation 4506ae82-f0ef-4b53-87cf-d59804c960f8 · outbound

This paper cites VoxCeleb2: Deep Speaker Recognition.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 VoxCeleb2: Deep Speaker Recognition

Reference 7

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unresolved
no resolver link, observed 2026-08-07T15:22:47.356742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:22:47.356742Z digest=sha256:040db061a38ebc1e6a7c6b69a221614f448ac05d44d4de4a90d434391345b047

Observation a26283dc-3044-40e0-9a81-8ad4e4507ac1 · outbound

This paper cites V oxblink2: A 100k+ speaker recognition corpus and the open- set speaker-identification benchmark,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 V oxblink2: A 100k+ speaker recognition corpus and the open- set speaker-identification benchmark,

Reference 8

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unresolved
no resolver link, observed 2026-08-07T15:22:47.412806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:22:47.412806Z digest=sha256:ec0590d328f69f0c69c71af43d7214bf000f8d832fcbdd32da3136ed0b5fdd38

Observation 885f1696-a0c6-4c8f-9eb7-01c623cff9fa · outbound

This paper cites Nist sre cts superset: A large-scale dataset for telephony speaker recognition,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Nist sre cts superset: A large-scale dataset for telephony speaker recognition,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T15:22:52.807669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:22:47.497722Z digest=sha256:db1d2117fba04354ea35010f0eeab79e5b04d121aa2965dc58d8e6512a530e90

Observation 652ba0ab-6dc8-4aed-b5f5-be0112cb8437 · outbound

This paper cites The 2016 nist speaker recogni- tion evaluation,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 The 2016 nist speaker recogni- tion evaluation,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-07T15:22:52.610283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:22:47.555577Z digest=sha256:c7608f1e17777f16f3f7037e98d95128730cf6876a8ce8c7129cfa7b934faae8

Observation 80bf0b55-8ff8-4175-b15b-75fd08bebc0a · outbound

This paper cites The 2021 nist speaker recognition evaluation,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 The 2021 nist speaker recognition evaluation,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:22:52.406787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 3d38f961-8ffd-4d1c-9dc8-458830f4d461 · outbound

This paper cites Audio-visual person recognition in multimedia data from the iarpa janus program,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Audio-visual person recognition in multimedia data from the iarpa janus program,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-07T15:22:52.235846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:22:47.695674Z digest=sha256:c3215a6fcb65c08d68690746d24c3cf23ccea07fdbebd0e1c43f0562cd50bb7d

Observation f4a9876e-4dec-4b55-a8c0-6bdb425486ee · outbound

This paper cites Analysis of the <withheld team name> classifi- cation backends for nist sre24,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Analysis of the <withheld team name> classifi- cation backends for nist sre24,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:22:52.046169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:22:47.701194Z digest=sha256:e9330c6ee7a53560d0369c30753b458898e331cede0f8b87360f58e78f2ffe30

Observation f626a7f4-df57-4c87-b263-40a2d037f659 · outbound

This paper cites Deep residual learning for image recognition,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Deep residual learning for image recognition,

Reference 14

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unresolved
no resolver link, observed 2026-08-07T15:22:47.709584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:22:47.709584Z digest=sha256:b1ef9bba67db004cc331a8f5ae2a7e1a7b3b9822661b37a99b3b3373a2f59464

Observation 5cd89af0-7ba3-4552-a0a5-9b580aef8d9c · outbound

This paper cites The V oxCeleb Speaker Recognition Challenge: A Retrospective,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 The V oxCeleb Speaker Recognition Challenge: A Retrospective,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:22:51.794933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:22:47.865665Z digest=sha256:0bfcb210c8146fab2a03e8b21390eec6cd0890be46c26349f9fd070a6955be2b

Observation a092f924-16ac-412a-9a7d-c670f1aa5e7a · outbound

This paper cites MUSAN: A Music, Speech, and Noise Corpus.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 MUSAN: A Music, Speech, and Noise Corpus

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:48.623903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:22:48.623903Z digest=sha256:16cc68f6ef5aa2d891840f9ca6844caeaae4bddc0748dba9c75cf1457c6b6340

Observation 576b576d-f183-4f53-9b0f-49af838c5546 · outbound

This paper cites The 2021 NIST Speaker Recognition Evaluation,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 The 2021 NIST Speaker Recognition Evaluation,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:22:51.549211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:22:48.124094Z digest=sha256:42bddcebf02f77f67162b77f9827663b244b25af485c18277246fc76cc77587f

Observation 50da46ea-50a3-425b-a3a7-b17e1cb1525b · outbound

This paper cites Reshape Dimensions Network for Speaker Recognition,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Reshape Dimensions Network for Speaker Recognition,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:22:51.246882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:22:48.232378Z digest=sha256:c0aabc4962211cea886b9bbffe293513bfbe0deb8caa49c1a0f3d03a86695caa

Observation f38880b6-e68c-48d4-bb63-51a58dc79bce · outbound

This paper cites Xi-vector embedding for speaker recognition,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Xi-vector embedding for speaker recognition,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:22:51.111650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:22:48.307546Z digest=sha256:da7de62c034a800fcb6ad8a758444df3fa692b41dbe825e7a69ae306a0db9f32

Observation 20960b9f-fe87-46ff-9370-602c25cc4b4d · outbound

This paper cites An Attention-Based Backend Allowing Efficient Fine- Tuning of Transformer Models for Speaker Verification,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 An Attention-Based Backend Allowing Efficient Fine- Tuning of Transformer Models for Speaker Verification,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:22:50.938513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:22:48.424437Z digest=sha256:8d3fd204a54278e28f260e4ca309ef03c6157297bf7ba4e3d2a3e063f5cfe5c5

Observation 312d2a3d-58b2-4c3a-a691-fdb8c88a9582 · outbound

This paper cites The kaldi speech recognition toolkit,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 The kaldi speech recognition toolkit,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:48.505190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:22:48.505190Z digest=sha256:4a72df8e47f86643ed28d61c31b93655207041632cbf061e22f3d7eec34639ec

Observation 6e61b70a-4671-45bd-a6d7-f2818b0a5862 · outbound

This paper cites NIST 2024 Speaker Recognition Evaluation Plan,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 NIST 2024 Speaker Recognition Evaluation Plan,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:22:50.410610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:22:49.058586Z digest=sha256:38c92afa3a87415d7367336a91cf89dcc3d20ac69c129f7f82fb881fef344e91

Observation e70ca3d6-3ec1-407e-bd84-42e9b9ce7036 · outbound

This paper cites A Study on Data Augmentation of Reverberant Speech for Ro- bust Speech Recognition,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 A Study on Data Augmentation of Reverberant Speech for Ro- bust Speech Recognition,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:22:50.765043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:22:48.712532Z digest=sha256:5fea679d6af9c974986fa19578ea59ee6682d54335fa8446d2d19db7935f64e3

Observation 00e234a4-0b9a-42de-b4f4-c83fb34709ff · outbound

This paper cites Wespeaker: A research and production oriented speaker embedding learning toolkit,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Wespeaker: A research and production oriented speaker embedding learning toolkit,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:48.763984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:22:48.763984Z digest=sha256:da8269a46a4f414dca1e0d1ca35a4efacb453311e5c700a74f57aa625fbf4848

Observation e245da16-e77e-447c-a492-3729bcef5e9d · outbound

This paper cites Advancing speaker embedding learning: Wespeaker toolkit for research and produc- tion,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Advancing speaker embedding learning: Wespeaker toolkit for research and produc- tion,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:48.837166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6888dd75-709d-4b88-9ef2-7a129465c52f · outbound

This paper cites Arcface: Additive an- gular margin loss for deep face recognition,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Arcface: Additive an- gular margin loss for deep face recognition,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:22:50.569180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:22:48.886563Z digest=sha256:a7764b8691411f821c8c4fbf4be49b554fd00e8ac5da185759c016584de40e47

Observation 9581a062-8692-4823-97bf-50355d1c8770 · outbound

This paper cites XLS-R: Self-supervised Cross-lingual Speech Rep- resentation Learning at Scale,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 XLS-R: Self-supervised Cross-lingual Speech Rep- resentation Learning at Scale,

Reference 27

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unresolved
no resolver link, observed 2026-08-07T15:22:49.010163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:22:49.010163Z digest=sha256:1c62444f657ca1ff2e605242696ba2d9f39972e32f0f98ea2bb890bf6e625d42

Observation 018143e2-349f-4bae-9a0f-f2a606b48918 · outbound

This paper cites Available: https://www.nist.gov/itl/iad/mig/ nist-2024-speaker-recognition-evaluation-sre24.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Available: https://www.nist.gov/itl/iad/mig/ nist-2024-speaker-recognition-evaluation-sre24

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:22:50.216424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:22:49.122589Z digest=sha256:3fbcb300307a83d4fd18f1e0cc635cad8542a4daceb9a88e1098b70260954dd6

Observation 3b9ab1c0-c375-44f7-ae0a-c0db4fdf3cbe · outbound

This paper cites Simam: A sim- ple, parameter-free attention module for convolutional neural net- works,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Simam: A sim- ple, parameter-free attention module for convolutional neural net- works,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:22:49.985200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:22:49.195460Z digest=sha256:bd93fed584be030465c8a260a0441de718321a0d8c36fd944a631c31cd8e7d13

Observation ec9d465e-e3f1-4eb1-ad28-80c8c1cd22ac · outbound

This paper cites Attentive statistics pooling for deep speaker embedding,.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Attentive statistics pooling for deep speaker embedding,

Reference 31

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unresolved
no resolver link, observed 2026-08-07T15:22:49.233668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:22:49.233668Z digest=sha256:3126eebe21635a7c44ca70e480b38d904c811a8f1d03d2fed4e914363de9fa31

Observation 992a20be-1f96-4d21-9603-06a0abefcf0b · outbound

This paper cites Available: http://dx.doi.org/10.1109/TASLP.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Available: http://dx.doi.org/10.1109/TASLP

Reference 2024

Resolution
malformed identifier
no resolver link, observed 2026-08-07T15:22:47.968933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:22:47.968933Z digest=sha256:335874da5d2cf040ea99f6a9f12db7cf2403cc319b88b54b34df38d7d5f734f4

Pith citing papers

Observation c93bf789-6be9-4834-bf48-5a8a5dbf01c0 · inbound

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 cites this paper.

Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Analysis of ABC Frontend Audio Systems for the NIST-SRE24

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T15:22:49.841052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:22:46.966917Z digest=sha256:7835f5f66faf5a38d7eebe442cd3f13725a578303b4b2b7d4ebdf4382c434a06