Paper Citation Record · LEDGER

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning

As of 10 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2608.05549.

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

pith.paper-citation-record.v1
2608.05549 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

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measured 45 of 45 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:07:57.206713Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T11:07:57.528503Z

Reference resolution

44 of 44 outbound references displayed

verified exact0
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External citation measurements

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Outbound references

Observation 1dd38b13-3188-4a19-97dc-6dde6dfb7308 · outbound

This paper cites Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning

Reference 1

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Observation 52628428-2130-40f7-aab9-2fdc35063895 · outbound

This paper cites Energy Conservation.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Energy Conservation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:07:57.917978Z

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Observation 72eca95a-9459-448c-8b4a-319050730c4d · outbound

This paper cites Datasets Training data.We used the V oxCeleb2 development set [28] (5,994 speakers) for training.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Datasets Training data.We used the V oxCeleb2 development set [28] (5,994 speakers) for training

Reference 3

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This paper cites Performance on VoxCeleb and VoxSRC21-val Table 1 summarizes the results on the V oxCeleb1 test sets (V oxCeleb1-O/E/H).

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Performance on VoxCeleb and VoxSRC21-val Table 1 summarizes the results on the V oxCeleb1 test sets (V oxCeleb1-O/E/H)

Reference 4

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This paper cites an unresolved cited work.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Unresolved cited work

Reference 5

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Observation 4d411026-bcb4-4657-ad22-5b76430c6a44 · outbound

This paper cites 15228223), and The Hong Kong Polytechnic University, Project ID P0049192.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning 15228223), and The Hong Kong Polytechnic University, Project ID P0049192

Reference 6

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Observation 9ff43e43-ca7b-4950-930e-123c733451b9 · outbound

This paper cites All scientific content, experiments, anal- yses, and conclusions were produced and verified by the au- thors.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning All scientific content, experiments, anal- yses, and conclusions were produced and verified by the au- thors

Reference 7

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Observation 0f0ab25f-64d7-4e47-9558-8dc4eb5381fe · outbound

This paper cites Distilling attention knowledge for speaker verifica- tion,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Distilling attention knowledge for speaker verifica- tion,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:07:57.757959Z

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Observation 33c9df49-c152-4fbd-af6a-3fb99f9b6398 · outbound

This paper cites Deep residual learning for image recognition,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Deep residual learning for image recognition,

Reference 9

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Observation 9e952269-0feb-4e61-b39f-1841a1b883cd · outbound

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

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Ecapa-tdnn: Emphasized channel attention, propagation and aggregation in tdnn based speaker verification,

Reference 10

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Observation aacbbd98-6bf5-4606-af7d-c07821c92387 · outbound

This paper cites Uncertainty- aware multi-head multi-mode knowledge distillation for self- supervised speaker verification,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Uncertainty- aware multi-head multi-mode knowledge distillation for self- supervised speaker verification,

Reference 11

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Observation 034f5033-5823-496b-8aa5-b442ec68ea92 · outbound

This paper cites Adversar- ially adaptive temperatures for decoupled knowledge distillation with applications to speaker verification,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Adversar- ially adaptive temperatures for decoupled knowledge distillation with applications to speaker verification,

Reference 12

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Observation 96879738-d80d-41e2-922e-2d72d8385e07 · outbound

This paper cites W-GVKT: Within-global-view knowledge transfer for speaker verification,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning W-GVKT: Within-global-view knowledge transfer for speaker verification,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:07:57.795528Z

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Observation e42aa549-0700-43b5-97a1-7bf47dd585f1 · outbound

This paper cites De- noising student features with diffusion models for knowledge dis- tillation in speaker verification,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning De- noising student features with diffusion models for knowledge dis- tillation in speaker verification,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:07:57.782864Z

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Observation 0ad7daee-80d0-4867-adb4-4adee12f7c61 · outbound

This paper cites Disentangling speech representations learning with latent dif- fusion for speaker verification,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Disentangling speech representations learning with latent dif- fusion for speaker verification,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:07:57.770090Z

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Observation 46fdee72-2480-4b96-a9f4-1460996488a3 · outbound

This paper cites Residual networks be- have like ensembles of relatively shallow networks,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Residual networks be- have like ensembles of relatively shallow networks,

Reference 16

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Observation bad4f119-8726-4e86-93f4-ae7990a9d96d · outbound

This paper cites Vision Transformer: Vit and its Derivatives.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Vision Transformer: Vit and its Derivatives

Reference 17

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Observation 87be2885-6d47-41d1-92cd-b52c57cb2825 · outbound

This paper cites Varia- tional regularization for end-to-end speech deepfake detection,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Varia- tional regularization for end-to-end speech deepfake detection,

Reference 18

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Observation ee91c684-8f48-428a-aa97-fa9582c0bcc5 · outbound

This paper cites Self-supervised learning with multi-head multi-mode knowledge distillation for speaker verifi- cation,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Self-supervised learning with multi-head multi-mode knowledge distillation for speaker verifi- cation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:07:57.734870Z

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Observation a55f87af-d3af-4933-b639-a3b7f5f7653c · outbound

This paper cites An enhanced res2net with local and global feature fusion for speaker verification,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning An enhanced res2net with local and global feature fusion for speaker verification,

Reference 20

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Observation 04018e0a-02d7-4b87-a3eb-fd454c41be5e · outbound

This paper cites Res2net: A new multi-scale backbone architecture,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Res2net: A new multi-scale backbone architecture,

Reference 21

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This paper cites Densely connected convolutional networks,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Densely connected convolutional networks,

Reference 22

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Observation 53e260e9-167e-4c04-8d4b-8ee5ea699bc0 · outbound

This paper cites Reducing Overfitting in Deep Networks by Decorrelating Representations.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Reducing Overfitting in Deep Networks by Decorrelating Representations

Reference 23

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This paper cites mHC: Manifold-Constrained Hyper-Connections.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning mHC: Manifold-Constrained Hyper-Connections

Reference 24

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Observation 4ac3c6f7-2cf4-48f1-87f6-41244f43a477 · outbound

This paper cites Attention is all you need,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Attention is all you need,

Reference 25

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This paper cites Trink: Ink generation with trans- former network,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Trink: Ink generation with trans- former network,

Reference 26

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Observation cff66a71-9826-4f4b-ab3f-9be8e2e5e90c · outbound

This paper cites Language Models are Few-Shot Learners.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Language Models are Few-Shot Learners

Reference 27

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 28

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This paper cites LLaMA: Open and Efficient Foundation Language Models.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning LLaMA: Open and Efficient Foundation Language Models

Reference 29

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This paper cites Mm-nodeformer: Node transformer multimodal fusion for emotion recognition in conver- sation,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Mm-nodeformer: Node transformer multimodal fusion for emotion recognition in conver- sation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:07:57.667242Z

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Observation 8f275bec-6ae0-47e1-ad4e-3a586ee03ba7 · outbound

This paper cites Repeated patterns of gamma-ray flares suggest structured jets of blazars as likely neutrino sources.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Repeated patterns of gamma-ray flares suggest structured jets of blazars as likely neutrino sources

Reference 31

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Observation 79713c6b-f85e-43cb-b05a-8e55174552f1 · outbound

This paper cites A study on data augmentation of reverberant speech for robust speech recognition,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning A study on data augmentation of reverberant speech for robust speech recognition,

Reference 32

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This paper cites The small model (ECAPA-S) uses a channel size of 512 and contains 6.19M parameters.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning The small model (ECAPA-S) uses a channel size of 512 and contains 6.19M parameters

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:07:57.894295Z

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Observation 545b82b9-3ea8-4e89-b1fa-77d3ec7cb1f1 · outbound

This paper cites DeepCrossAttention: Supercharging transformer residual connections,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning DeepCrossAttention: Supercharging transformer residual connections,

Reference 34

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Observation 3954ddf3-3571-4bac-aca8-a9da9719a4d6 · outbound

This paper cites Hyper-connections,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Hyper-connections,

Reference 35

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Observation 197189de-c0a2-4115-be94-30f2cdd0ed3c · outbound

This paper cites Concerning nonnegative matrices and doubly stochastic matrices,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Concerning nonnegative matrices and doubly stochastic matrices,

Reference 36

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This paper cites V oxceleb2: Deep speaker recognition,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning V oxceleb2: Deep speaker recognition,

Reference 37

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

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning V oxceleb: a large- scale speaker identification dataset,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:07:57.616613Z

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Observation 56354843-df14-4263-bc10-89174d69a4e1 · outbound

This paper cites The Kaldi speech recog- nition toolkit,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning The Kaldi speech recog- nition toolkit,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:07:57.605015Z

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

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning MUSAN: A Music, Speech, and Noise Corpus

Reference 40

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This paper cites A time delay neural network architecture for efficient modeling of long temporal con- texts,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning A time delay neural network architecture for efficient modeling of long temporal con- texts,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:07:57.584397Z

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Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Squeeze-and-excitation networks,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:07:57.571762Z

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Observation cda7a5ea-8729-4a00-9b58-9f2275d29eb0 · outbound

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

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning Arcface: Additive an- gular margin loss for deep face recognition,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:07:57.558941Z

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Observation 4477e4aa-918f-4fa3-84af-101ab24da298 · outbound

This paper cites 3d-speaker-toolkit: An open-source toolkit for multimodal speaker verification and di- arization,.

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning 3d-speaker-toolkit: An open-source toolkit for multimodal speaker verification and di- arization,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:07:57.546549Z

Source-reported events for the cited work

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Pith citing papers

Observation 1dd38b13-3188-4a19-97dc-6dde6dfb7308 · inbound