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Paper Citation Record · LEDGER

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2510.03839.

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

pith.paper-citation-record.v1
2510.03839 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:40:26.837733Z

measured 25 of 25 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

25 of 25 outbound references displayed

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External citation measurements

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Outbound references

Observation 280a931f-a8e4-4e4a-89d0-33f6aba73c4c · outbound

This paper cites Learning transferable visual models from natural language supervision.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Learning transferable visual models from natural language supervision

Reference 1

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source=arxiv_source observed=2026-08-04T11:40:24.264587Z digest=sha256:270c1b57a11aa8c7860b7431d266606a2d850b102d91695a965d15944dd3ca27

Observation 05cdf6a6-1acf-44f2-86e3-3a80359acd9c · outbound

This paper cites Density ratio estimation in machine learning.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Density ratio estimation in machine learning

Reference 2

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source=arxiv_source observed=2026-08-04T11:40:24.385952Z digest=sha256:c2ef9ef0c8fafc1b3a1352dd5712314a383705fb4f233a0896ce2dc9c0ee0d59

Observation a553c5f0-85f8-45ef-9867-4dd09e4b96de · outbound

This paper cites On calibration of modern neural networks.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting On calibration of modern neural networks

Reference 3

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source=arxiv_source observed=2026-08-04T11:40:24.449279Z digest=sha256:5e5df1e35e659e75ad409c72dcd9fb6ab0fdf2474b2c21c8a9d6a0802dbb0c5c

Observation 2ce9dcab-7c33-41d5-8e8d-36bf4249690f · outbound

This paper cites Learning to prompt for vision-language models.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Learning to prompt for vision-language models

Reference 4

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source=arxiv_source observed=2026-08-04T11:40:24.524798Z digest=sha256:4f296f4b1bd8714d518b99907164efd6ac8e74a9489f6f12dcc080c29eff3fd0

Observation 388e37ca-7803-4d0b-966a-42a2a13da71f · outbound

This paper cites Prompt distribution learning.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Prompt distribution learning

Reference 5

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source=arxiv_source observed=2026-08-04T11:40:24.622587Z digest=sha256:be77b6fee754059b9095cdd306647853d5772cd101918c2090e566546808e7ad

Observation 6123399b-41e2-47de-8a14-6385a89740dc · outbound

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

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Tent: Fully Test-time Adaptation by Entropy Minimization

Reference 6

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source=arxiv_source observed=2026-08-04T11:40:24.700555Z digest=sha256:d1675fee5fcc78f472b6cd0345a6729798b8ad7bfedd1881e2b31718cb069e79

Observation 87ca83e2-b073-4006-ac99-0075082a3850 · outbound

This paper cites Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation

Reference 7

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source=arxiv_source observed=2026-08-04T11:40:24.788061Z digest=sha256:bb75b24c9bdb898fd7c98650fd62b82d9dba355e35b318d4466bdbd0021a0f5b

Observation c91ceac7-50db-46e7-8c59-d0f7b1d61217 · outbound

This paper cites Gradient Matching for Domain Generalization.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Gradient Matching for Domain Generalization

Reference 8

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source=arxiv_source observed=2026-08-04T11:40:24.903683Z digest=sha256:7ca3ec95b47bd5b353fe9cf09e106361e36321071a01da1b2eae42c6dbe61700

Observation 3e5fe5e4-9dfc-4b56-b5e7-67c00b280a08 · outbound

This paper cites Confidence-calibrated covariate shift correction for few-shot classification in vision-language models.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Confidence-calibrated covariate shift correction for few-shot classification in vision-language models

Reference 9

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source=arxiv_source observed=2026-08-04T11:40:24.996573Z digest=sha256:5617162640dde2c38d7596dde32cf846d9c98989ee817e900e525df9bac3fe78

Observation 6cab8d05-a098-45c4-ad12-3af3b2011726 · outbound

This paper cites Causal covariate shift correction using fisher information penalty.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Causal covariate shift correction using fisher information penalty

Reference 10

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Observation 50a6d2b5-f500-4471-aa27-8fd172e1d654 · outbound

This paper cites Sequential Nonparametric Testing with the Law of the Iterated Logarithm.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Sequential Nonparametric Testing with the Law of the Iterated Logarithm

Reference 11

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source=arxiv_source observed=2026-08-04T11:40:25.146443Z digest=sha256:2f73fae07d08626ac847df3a2cadab9900f3c2d0a8a8fbad7e3d569bafadb5a9

Observation 44bda859-92fb-4ec0-adae-a4788597fb10 · outbound

This paper cites Can autonomous vehicles identify, recover from, and adapt to distribution shifts? In International Conference on Machine Learning, pages 3145--3153.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Can autonomous vehicles identify, recover from, and adapt to distribution shifts? In International Conference on Machine Learning, pages 3145--3153

Reference 12

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source=arxiv_source observed=2026-08-04T11:40:25.206223Z digest=sha256:36058d673b75a9efdff3ae274fa1e93ec750927ebd4b11b38bb5f1446fd44b97

Observation 66391bd4-20d7-4d41-bea6-c7668eace96a · outbound

This paper cites Failing loudly: An empirical study of methods for detecting dataset shift.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Failing loudly: An empirical study of methods for detecting dataset shift

Reference 13

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source=arxiv_source observed=2026-08-04T11:40:25.303442Z digest=sha256:1c20a258527925ccad45cefa2ab2c9efc3892cd995e1876c5b845c59e4566992

Observation cbc702b8-74e7-4077-84c4-00676a57d7bc · outbound

This paper cites Covariate shift by kernel mean matching.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Covariate shift by kernel mean matching

Reference 14

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source=arxiv_source observed=2026-08-04T11:40:25.419408Z digest=sha256:9be863904fd99344988a18676eb47c41977156c6f6387d1568cf1243fa0b5eb1

Observation 842617ec-53b3-45a3-8b28-1e6534df9452 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Overcoming catastrophic forgetting in neural networks

Reference 15

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source=arxiv_source observed=2026-08-04T11:40:25.523309Z digest=sha256:f3c1b593dda79e520078cf1313056ca21b42d99b6f8ebb1f23a65f13e2e2a220

Observation c3a4ce3e-7d5f-408f-ac91-fa3087269a62 · outbound

This paper cites Natural gradient works efficiently in learning.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Natural gradient works efficiently in learning

Reference 16

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source=arxiv_source observed=2026-08-04T11:40:25.708109Z digest=sha256:1c672a439714bb9033a723d12b52d3309b3695f31332c4b524effa1469f5915c

Observation b1efbaba-7702-4dd4-b450-c5129e9ec2a6 · outbound

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

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Limitations of the empirical fisher approximation for natural gradient descent

Reference 17

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source=arxiv_source observed=2026-08-04T11:40:25.838334Z digest=sha256:8d463ac72ca9453770a0757e68b06d7b1acda3d7b2544cb0c01ed32f3ea315ca

Observation cbb6de0a-a72a-4b7c-9e27-76dcd0c00506 · outbound

This paper cites Procedures for reacting to a change in distribution.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Procedures for reacting to a change in distribution

Reference 18

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Observation 3fd56864-3681-4b98-bced-749fdb9b157b · outbound

This paper cites Probability with martingales.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Probability with martingales

Reference 19

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Observation 128acccb-4327-48f3-b816-97a0e917e373 · outbound

This paper cites Jean ville, \'e tude critique de la notion de collectif.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Jean ville, \'e tude critique de la notion de collectif

Reference 20

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source=arxiv_source observed=2026-08-04T11:40:26.299348Z digest=sha256:af0e934ea1f04862dbaffb7c1d55a58d6cdcaf723bb686db6bd558cfde972ac2

Observation 79cfedaf-e185-4a87-b8e2-9afc36b66312 · outbound

This paper cites Time-uniform, nonparametric, nonasymptotic confidence sequences.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Time-uniform, nonparametric, nonasymptotic confidence sequences

Reference 21

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Observation 1fe44fdc-5814-43cb-a7c4-ced52f374736 · outbound

This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting The many faces of robustness: A critical analysis of out-of-distribution generalization

Reference 22

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Observation e531280d-39c9-404b-93dc-cc346e97ace8 · outbound

This paper cites Deep hashing network for unsupervised domain adaptation.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Deep hashing network for unsupervised domain adaptation

Reference 23

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Observation bfeddff2-f09d-46e6-b4f4-276265ca9c0d · outbound

This paper cites Moment matching for multi-source domain adaptation.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Moment matching for multi-source domain adaptation

Reference 24

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Observation a6430f27-ed7b-4f02-baf9-641e3a3ef070 · outbound

This paper cites Obtaining well calibrated probabilities using bayesian binning.

Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting Obtaining well calibrated probabilities using bayesian binning

Reference 25

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Pith citing papers

No inbound Pith citation observations are available.