Paper Citation Record · LEDGER

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.15851.

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

pith.paper-citation-record.v1
2607.15851 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:13:47.718557Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

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.

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

23 of 23 outbound references displayed

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verified fuzzy0
unresolved22
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malformed identifier1
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External citation measurements

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Outbound references

Observation 28065c3b-3fe1-4d10-994e-a191c1f52444 · outbound

This paper cites an unresolved cited work.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:47.053603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bc0558d-9ea2-49f5-8df7-aaf133ae6a5a · outbound

This paper cites von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:45.935355Z

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Observation 17328b31-a3aa-4f62-b3bf-356ae803ab4a · outbound

This paper cites All the configuration is kept the same as those set in the original paper on ImageNet.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction All the configuration is kept the same as those set in the original paper on ImageNet

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:47.521074Z

Source-reported events for the cited work

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Observation 8a0a0fa9-bc8b-418e-b651-7540f92f6a3b · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:46.550308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 539a6b62-2e0b-4165-a3c1-f7b119f64fe0 · outbound

This paper cites Tent: Fully Test-time Adaptation by Entropy Minimization.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction Tent: Fully Test-time Adaptation by Entropy Minimization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:46.795469Z

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Observation d28ec70c-c9a2-466f-8a64-615529a3858f · outbound

This paper cites A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:46.807800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42795cd1-3b6c-48cc-a61f-1a4530662aba · outbound

This paper cites BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:46.876744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0e9f68f-bf9e-4de3-b6bf-599840d65d59 · outbound

This paper cites an unresolved cited work.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:47.718557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebe6ff0e-be86-4a4e-84a8-6589ed916746 · outbound

This paper cites Experimental Details C.1.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction Experimental Details C.1

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:47.168231Z

Source-reported events for the cited work

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Observation 0b4f4d43-3167-4ba2-8ffc-93586dac049c · outbound

This paper cites an unresolved cited work.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:47.305127Z

Source-reported events for the cited work

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Observation bec3721f-5c15-43e4-8ce4-4c5d16f442ff · outbound

This paper cites We also incorporate another TTA method MTA (Zanella & Ben Ayed,.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction We also incorporate another TTA method MTA (Zanella & Ben Ayed,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:47.437934Z

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Observation 54d94cde-960c-42f5-82e4-f55a3f2b9ad0 · outbound

This paper cites a photo of a [ ].

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction a photo of a [ ]

Reference 21

Resolution: malformed identifier; no resolver link, observed 2026-08-01T22:13:47.597297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d50db51-77b2-4db9-9752-ee0cd959a38f · outbound

This paper cites an unresolved cited work.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:47.657445Z

Source-reported events for the cited work

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Observation 12c1862d-fe43-4af7-b78f-2d1484307115 · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:46.678845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd00579b-d45b-43b4-be1a-3cabc415a30a · outbound

This paper cites Correct- ing visual blur induced by attention distraction to reduce hallucinations: Algorithm and theory.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction Correct- ing visual blur induced by attention distraction to reduce hallucinations: Algorithm and theory

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:46.164670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d82592de-78d3-4732-a338-70161b7bb2f1 · outbound

This paper cites DINO as a von Mises-Fisher mixture model.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction DINO as a von Mises-Fisher mixture model

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:45.780533Z

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Observation 647e2aa6-d562-4dff-94d8-a495643f7cb4 · outbound

This paper cites What drives test-time adaptation for clip? a controlled em- pirical study from an update perspective.arXiv preprint arXiv:2606.14299,.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction What drives test-time adaptation for clip? a controlled em- pirical study from an update perspective.arXiv preprint arXiv:2606.14299,

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:46.043575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 090bd470-abce-467d-8e05-fbfa90e6a56d · outbound

This paper cites Do All Individual Layers Help? An Empirical Study of Task-Interfering Layers in Vision-Language Models.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction Do All Individual Layers Help? An Empirical Study of Task-Interfering Layers in Vision-Language Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:46.282097Z

Source-reported events for the cited work

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Observation 263ba8af-c282-4f07-a7d9-a5d9457446b3 · outbound

This paper cites Learning generative visual models from few training examples: An incremen- tal bayesian approach tested on 101 object categories.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction Learning generative visual models from few training examples: An incremen- tal bayesian approach tested on 101 object categories

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:45.686436Z

Source-reported events for the cited work

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Observation 63cd902f-33ca-4421-9897-82568fcef68b · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction Fine-Grained Visual Classification of Aircraft

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:46.374522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b13c306-7c31-45bd-837f-a9da29406655 · outbound

This paper cites The Linear Representation Hypothesis and the Geometry of Large Language Models.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction The Linear Representation Hypothesis and the Geometry of Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:46.473684Z

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Observation a5e7ed10-7d51-4fcf-a966-e8ed1c277fc7 · outbound

This paper cites Z., and Zhang, C.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction Z., and Zhang, C

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:45.841905Z

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Unavailable: canonical work link unavailable.

Observation 550a3e96-b136-400e-a1b4-c60ca90546ed · outbound

This paper cites On Pitfalls of Test-Time Adaptation.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction On Pitfalls of Test-Time Adaptation

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:46.963122Z

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Pith citing papers

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