Paper Citation Record · LEDGER

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection

As of 6 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.22010.

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

pith.paper-citation-record.v1
2607.22010 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:08:27.749037Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact0
verified fuzzy0
unresolved40
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8346fc9b-b14b-4b4d-93f0-06c831f2b3e3 · outbound

This paper cites Generalizable speech deepfake detection via meta-learned lora,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Generalizable speech deepfake detection via meta-learned lora,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:23.967824Z

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Observation f88dc750-8531-4f21-aea5-34bf052fad41 · outbound

This paper cites Does Audio Deepfake Detection Generalize?.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Does Audio Deepfake Detection Generalize?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:24.060046Z

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Observation 2f9c2144-4169-4d6b-a46f-1e4a6dfee18b · outbound

This paper cites Domain generalization: A survey,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Domain generalization: A survey,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:24.133941Z

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Observation 3d7b300c-3cc4-4b6b-bd01-30151fa781cc · outbound

This paper cites Learning to learn: Introduction and overview,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Learning to learn: Introduction and overview,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:24.293198Z

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Observation ce61daa1-c317-4b7b-a63e-1b4ad58f3dc2 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:24.379902Z

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Observation b4c300ac-de7e-4823-b79e-3f253582e8bd · outbound

This paper cites Meta-learning approaches for improving detection of unseen speech deepfakes,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Meta-learning approaches for improving detection of unseen speech deepfakes,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:24.529221Z

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Observation e285f081-c2df-4feb-83f0-58f86b1ee394 · outbound

This paper cites Learning to generalize: Meta-learning for domain generalization,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Learning to generalize: Meta-learning for domain generalization,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:24.650899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3ef6647-6c5c-4b5f-844c-4b41848441eb · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection LoRA: Low-rank adaptation of large language models,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:24.738477Z

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Observation 16e0fa0b-511f-4208-a4b7-4c664a4a7cba · outbound

This paper cites Principles of risk minimization for learning theory,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Principles of risk minimization for learning theory,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:24.898456Z

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Observation 1536d5b0-b041-4764-afb5-d8b34f2d4a53 · outbound

This paper cites New insights and perspectives on the natural gradient method,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection New insights and perspectives on the natural gradient method,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:25.069472Z

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Observation 9a5b4c76-0847-46d5-a56d-670c94f55d09 · outbound

This paper cites The effective rank: A measure of effective dimensionality,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection The effective rank: A measure of effective dimensionality,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:25.182149Z

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Observation 05ea43e6-3fc9-4bd6-80f6-05b7d5100719 · outbound

This paper cites Rankme: Assessing the downstream performance of pretrained self-supervised representations by their rank,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Rankme: Assessing the downstream performance of pretrained self-supervised representations by their rank,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:25.272051Z

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Observation fb77a02d-28a2-46c5-a953-210d744a9701 · outbound

This paper cites Intrinsic dimensionality explains the effectiveness of language model fine-tuning,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Intrinsic dimensionality explains the effectiveness of language model fine-tuning,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:25.346042Z

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Observation e5e3cef7-152c-4229-b687-4c3d1b903347 · outbound

This paper cites Adaptive budget allocation for parameter-efficient fine-tuning,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Adaptive budget allocation for parameter-efficient fine-tuning,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:25.428912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ed24da5-bff7-4a00-b8bf-d2697566462c · outbound

This paper cites Pissa: Principal singular values and singular vectors adaptation of large language models,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Pissa: Principal singular values and singular vectors adaptation of large language models,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:25.513294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8025ffe-e2cb-4eb0-9ee2-bca45df5845c · outbound

This paper cites Lora vs full fine-tuning: An illusion of equivalence,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Lora vs full fine-tuning: An illusion of equivalence,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:25.606813Z

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Observation b10510d0-2bcb-4e8b-a537-e3eef8cc1ff4 · outbound

This paper cites Asymmetry in low-rank adapters of foundation models,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Asymmetry in low-rank adapters of foundation models,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:25.668247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e4cae20-cd6b-4b34-92ad-aa2b500648b6 · outbound

This paper cites LoRA Learns Less and Forgets Less.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection LoRA Learns Less and Forgets Less

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:25.705441Z

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Observation c32bdcd8-71e2-4f3c-8759-8a077f3e5d3f · outbound

This paper cites Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:25.824474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6462b643-34b3-4ec0-83ed-d8dea7331b61 · outbound

This paper cites Learning in the Fisher Subspace: A Guided Initialization for LoRA Fine-Tuning.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Learning in the Fisher Subspace: A Guided Initialization for LoRA Fine-Tuning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:25.933242Z

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Unavailable: canonical work link unavailable.

Observation d0abc3be-3f8d-44ea-b550-8b23de4fde28 · outbound

This paper cites Curvature-Guided LoRA: Matching Full Fine-Tuning in Function Space.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Curvature-Guided LoRA: Matching Full Fine-Tuning in Function Space

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:26.040122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ded19160-1a95-431c-a6bb-f541df0b1284 · outbound

This paper cites Limitations of the empirical fisher approximation for natural gradient descent,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Limitations of the empirical fisher approximation for natural gradient descent,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:26.151391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 257afeff-9ef3-4e83-9998-882f971ed813 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:26.274328Z

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Unavailable: canonical work link unavailable.

Observation 93025460-b42f-4eae-b99f-af03492b1318 · outbound

This paper cites Aasist: Audio anti-spoofing using integrated spectro-temporal graph attention networks,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Aasist: Audio anti-spoofing using integrated spectro-temporal graph attention networks,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:26.354782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 444e57f1-0efa-41be-999d-bddec79102b2 · outbound

This paper cites New insights and perspectives on the natural gradient method.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection New insights and perspectives on the natural gradient method

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:26.493783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9c9eb30-7aca-4f4a-b17a-1b1f2f43efa1 · outbound

This paper cites Optimizing neural networks with kronecker-factored approximate curvature,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Optimizing neural networks with kronecker-factored approximate curvature,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:26.598802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6f42f2b-c267-49ee-a1ae-0f09c55cce96 · outbound

This paper cites An Improved Empirical Fisher Approximation for Natural Gradient Descent.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection An Improved Empirical Fisher Approximation for Natural Gradient Descent

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:26.702744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eafc7ca4-6d4b-4f54-bf51-97cb4ff09402 · outbound

This paper cites An investigation into neural net optimization via hessian eigenvalue density,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection An investigation into neural net optimization via hessian eigenvalue density,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:26.783478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dae94ce-8d3c-4e07-a173-a9a11a67bd9d · outbound

This paper cites Neural tangent kernel: Convergence and generalization in neural networks,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Neural tangent kernel: Convergence and generalization in neural networks,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:26.870135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c32635c-384c-4f86-af7e-ebeee338c32e · outbound

This paper cites RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:27.040474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5a9fd55-a141-4132-94ce-b54f29e706d5 · outbound

This paper cites Spectral alignment of stochastic gradient descent for high-dimensional classification tasks.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Spectral alignment of stochastic gradient descent for high-dimensional classification tasks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:27.109643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3dbec53-cd41-4b8b-92cc-8e62eb210573 · outbound

This paper cites ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:27.184551Z

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Observation e83b3de9-4a11-401f-b740-0bdada43e83a · outbound

This paper cites ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:27.261924Z

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Unavailable: canonical work link unavailable.

Observation 36297aa2-ee53-45c5-8c8a-808525cd3d3c · outbound

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

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:27.367744Z

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Unavailable: canonical work link unavailable.

Observation cb90ba01-fab1-4831-b3bf-919d156dc645 · outbound

This paper cites FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:27.474845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2054ba4f-37bc-48f7-929b-8e2ba982880b · outbound

This paper cites Audio deepfake detection: A survey,.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Audio deepfake detection: A survey,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:27.571914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b2c8806-5029-448d-a9f0-f8d30e158781 · outbound

This paper cites Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:27.749037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6efd4d0f-16af-4acb-a937-54ddfebc85c9 · outbound

This paper cites Neural Tangent Kernel: Convergence and Generalization in Neural Networks.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:26.977225Z

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Unavailable: canonical work link unavailable.

Observation 9ecae8c7-8b41-48a7-ab47-b5f94b9efde0 · outbound

This paper cites Domain Generalization: A Survey.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Domain Generalization: A Survey

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:24.220094Z

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Unavailable: canonical work link unavailable.

Observation 3e4629c8-d473-409a-8272-d5c11dd0b926 · outbound

This paper cites Audio Deepfake Detection: A Survey.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Audio Deepfake Detection: A Survey

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:27.680708Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.