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Paper Citation Record · LEDGER

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting

As of 9 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2502.07774.

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

pith.paper-citation-record.v1
2502.07774 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:41:47.195993Z

measured 66 of 66 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

66 of 66 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 66bb13cd-cb99-446b-9090-5c4eec35a5cf · outbound

This paper cites Algorithms for portfolio management based on the newton method.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Algorithms for portfolio management based on the newton method

Reference 1

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Observation cbf31b11-04ac-4741-a264-2661c090fd80 · outbound

This paper cites Interior-point methods for full-information and bandit online learning.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Interior-point methods for full-information and bandit online learning

Reference 2

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Source-reported events for the cited work

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Observation ac16b3b9-c5a9-4250-ac0c-348624842eee · outbound

This paper cites On Stopping Times of Power-one Sequential Tests: Tight Lower and Upper Bounds.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting On Stopping Times of Power-one Sequential Tests: Tight Lower and Upper Bounds

Reference 3

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Source-reported events for the cited work

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Observation 79735d1d-21c1-44a3-8b33-d1e09988831a · outbound

This paper cites Self-concordant analysis for logistic regression.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Self-concordant analysis for logistic regression

Reference 4

Resolution
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Source-reported events for the cited work

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Observation 5f662b8c-74ed-4d6b-8740-3832967b2a6c · outbound

This paper cites Protected test-time adaptation via online entropy matching: A betting approach.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Protected test-time adaptation via online entropy matching: A betting approach

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0555c73c-f8d5-4c26-ac08-b7e57c2033ea · outbound

This paper cites Convex optimization.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Convex optimization

Reference 6

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation af96c95c-3c94-4928-be19-1738a7dc4f8a · outbound

This paper cites Auditing fairness by betting.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Auditing fairness by betting

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9b4a0425-c3b4-4be4-803d-cff413032739 · outbound

This paper cites Peeking with peak: Sequential, nonparametric composite hypothesis tests for means of multiple data streams.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Peeking with peak: Sequential, nonparametric composite hypothesis tests for means of multiple data streams

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9c25a92d-28ac-41fc-8f9f-3c7e55729855 · outbound

This paper cites Universal portfolios with side information.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Universal portfolios with side information

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6afb5fe0-afc0-4c1f-b726-8bb2bbf69101 · outbound

This paper cites Black-box reductions for parameter-free online learning in banach spaces.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Black-box reductions for parameter-free online learning in banach spaces

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6cee252f-6996-4d28-9017-e759e9a9f32a · outbound

This paper cites Universal gambling schemes and the complexity measures of kolmogorov and chaitin.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Universal gambling schemes and the complexity measures of kolmogorov and chaitin

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation dbde5cbc-ec4f-4c47-b136-984e4301d674 · outbound

This paper cites Universal portfolios.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Universal portfolios

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 22a0310e-4681-4c5c-a3d6-2a8e33e9d8eb · outbound

This paper cites Online detection of LLM -generated texts via sequential hypothesis testing by betting.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Online detection of LLM -generated texts via sequential hypothesis testing by betting

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2eb71983-01df-4409-99b1-c377c5c6490c · outbound

This paper cites Online optimization with gradual variations.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Online optimization with gradual variations

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation db303af8-0751-464b-975d-45112f498146 · outbound

This paper cites Optimistic online mirror descent for bridging stochastic and adversarial online convex optimization.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Optimistic online mirror descent for bridging stochastic and adversarial online convex optimization

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1b2bf88b-c68d-4424-a421-c7fba22a17a2 · outbound

This paper cites From individual experience to collective evidence: A reporting-based framework for identifying systemic harms.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting From individual experience to collective evidence: A reporting-based framework for identifying systemic harms

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 30ed9e06-23a1-49e8-a574-a4e496201984 · outbound

This paper cites Multiple testing with anytime-valid Monte Carlo p-values.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Multiple testing with anytime-valid Monte Carlo p-values

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 206629af-bfff-40a7-8af8-a2f2c60ff7ef · outbound

This paper cites Safe testing.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Safe testing

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 60f5497d-6bd3-43b9-8f56-ffbce71c707c · outbound

This paper cites Anytime-valid tests of conditional independence under model-x.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Anytime-valid tests of conditional independence under model-x

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 289dbde8-49ff-4a53-b905-0c76d0bb404b · outbound

This paper cites Introduction to online convex optimization.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Introduction to online convex optimization

Reference 20

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 63c4f27a-c696-472b-a9bc-00e4e4a59660 · outbound

This paper cites Logarithmic regret algorithms for online convex optimization.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Logarithmic regret algorithms for online convex optimization

Reference 21

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 566f8a70-1c0c-4a98-88f4-4d39faf17a26 · outbound

This paper cites Extracting certainty from uncertainty: Regret bounded by variation in costs.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Extracting certainty from uncertainty: Regret bounded by variation in costs

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9c247619-55ee-4cf1-9368-d23394a4cf0d · outbound

This paper cites An online portfolio selection algorithm with regret logarithmic in price variation.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting An online portfolio selection algorithm with regret logarithmic in price variation

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2d6c2aa5-3a3a-450f-98ea-bd3d39d9931a · outbound

This paper cites Regret bounds for online portfolio selection with a cardinality constraint.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Regret bounds for online portfolio selection with a cardinality constraint

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f5cc8fe3-7e60-4f92-b974-dab73b636cb1 · outbound

This paper cites A modular analysis of adaptive (non-) convex optimization: Optimism, composite objectives, and variational bounds.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting A modular analysis of adaptive (non-) convex optimization: Optimism, composite objectives, and variational bounds

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a99d20a5-c009-41ca-9a09-30af36f4b095 · outbound

This paper cites Tighter pac-bayes bounds through coin-betting.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Tighter pac-bayes bounds through coin-betting

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation aaaeb92a-2917-4518-9ce7-d0a5e0a844b8 · outbound

This paper cites Efficient and Near-Optimal Online Portfolio Selection.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Efficient and Near-Optimal Online Portfolio Selection

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 72e704e7-af13-4a4f-a275-699a711df753 · outbound

This paper cites A new interpretation of information rate.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting A new interpretation of information rate

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e7c9f0f5-ef68-484c-848a-0569a541a019 · outbound

This paper cites Efficient online portfolio with logarithmic regret.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Efficient online portfolio with logarithmic regret

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c54e0613-e47b-40d4-9f85-aafbece47240 · outbound

This paper cites A survey of algorithms and analysis for adaptive online learning.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting A survey of algorithms and analysis for adaptive online learning

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.654039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d49bfcf6-40cb-4248-bb5c-6672894aaadd · outbound

This paper cites Damped online newton step for portfolio selection.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Damped online newton step for portfolio selection

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 870851e7-6a5c-4c31-8905-46fc0c256e58 · outbound

This paper cites Interior point polynomial time methods in convex programming.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Interior point polynomial time methods in convex programming

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.633220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 74c5243c-13e8-4564-a8c2-e8386ce115b3 · outbound

This paper cites Introductory lectures on convex optimization: A basic course , volume 87.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Introductory lectures on convex optimization: A basic course , volume 87

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-08T11:41:47.079711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:41:47.079711Z digest=sha256:3d5a40eb3e4c7cfab46ba0ae884e35171d84f7d742d2f31e3a9fb7d280be0bcb

Observation fca78b00-07c2-4dba-a3c4-cbb936da0513 · outbound

This paper cites Interior-point polynomial algorithms in convex programming.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Interior-point polynomial algorithms in convex programming

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d94ce384-9f20-4a72-bbac-79532b9ba27d · outbound

This paper cites Interior-point methods for optimization.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Interior-point methods for optimization

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.601932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.087229Z digest=sha256:9fe4df735493af655096a41fb7242a027b45a8371df180eaf90a10baccb9c4e7

Observation ffb6fc9c-81c8-4d8a-b3ab-c3e7701d774f · outbound

This paper cites Tight concentrations and confidence sequences from the regret of universal portfolio.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Tight concentrations and confidence sequences from the regret of universal portfolio

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-08T11:41:47.091170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:41:47.091170Z digest=sha256:f5f237e35d8d587a7803c231ae4119049eb5ff7e2777af67af1136dd6c8db12c

Observation ef94bc07-4158-42e1-b218-c2095915fc35 · outbound

This paper cites Coin betting and parameter-free online learning.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Coin betting and parameter-free online learning

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.584371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.094871Z digest=sha256:577d23e705782617f9b88d8a962c4c2198cd47254c9a19f0570c2858118c0118

Observation d4d72ee4-05ea-421e-817e-c20dd46d2cec · outbound

This paper cites Online Learning: A Modern Introduction Using Convex Optimization.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Online Learning: A Modern Introduction Using Convex Optimization

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T11:41:47.098410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:41:47.098410Z digest=sha256:b93ab6c9f324ae04d135d00c2ed3e5cf966081a06e1f62e03611d979a00046ba

Observation c01aee3a-b73c-485c-b0ad-5c08a40be66a · outbound

This paper cites Sequential kernelized independence testing.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Sequential kernelized independence testing

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.573341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.102298Z digest=sha256:b968e23728056c977f98293621556861c87811daa5f3827d2500c74376673548

Observation 58f51324-42a4-4de7-aa32-ed2b82b98646 · outbound

This paper cites Deep anytime-valid hypothesis testing.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Deep anytime-valid hypothesis testing

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.562276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.105377Z digest=sha256:b203a1eb0c9fa8abebc3604b6483794da152447ace2b313e9c8b498b80e0895d

Observation 0f684d08-fe96-4f27-88ee-31ddea09d8e6 · outbound

This paper cites Sequential predictive two-sample and independence testing.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Sequential predictive two-sample and independence testing

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.551048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.108552Z digest=sha256:dd3d17df430e22cae6dea5223fe8a3eabb449933b6f0a473fef8f2cc39918cd1

Observation effd2981-5478-4b7f-be9a-2967d7e6df8f · outbound

This paper cites Adaptive conformal inference by betting.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Adaptive conformal inference by betting

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.539742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.111403Z digest=sha256:bc56bc038c77909390ebccb82efd0c065a9af561b6eaa31e209094e136215418

Observation 9c4f5799-d57b-4099-9458-6950fad402e6 · outbound

This paper cites Game-theoretic statistics and safe anytime-valid inference.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Game-theoretic statistics and safe anytime-valid inference

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.528488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.114418Z digest=sha256:804c3f6a76de8a3eb1d1643e24934fa70d6e38de8ce7bb1812042a8067931049

Observation c26077c9-25ed-45f3-8de9-80b0236a9f19 · outbound

This paper cites Randomized and Exchangeable Improvements of Markov's, Chebyshev's and Chernoff's Inequalities.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Randomized and Exchangeable Improvements of Markov's, Chebyshev's and Chernoff's Inequalities

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T11:41:47.117588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:41:47.117588Z digest=sha256:0df8f32d5e8f79592bb823213e0293df0c9e36b35591f96d0672d60cb4a159ee

Observation 8675e990-09fe-49f0-b602-d7b11090c578 · outbound

This paper cites Admissible anytime-valid sequential inference must rely on nonnegative martingales.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Admissible anytime-valid sequential inference must rely on nonnegative martingales

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T11:41:47.120921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:41:47.120921Z digest=sha256:4ba7505d5c36bf0c95c48d74da51f0dc517c2e10a1b5abc27c2517aad20e66bf

Observation 23e6d3b4-1b92-433e-ba0f-c51bb4e98f5a · outbound

This paper cites The expected sample size of some tests of power one.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting The expected sample size of some tests of power one

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.516894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.124909Z digest=sha256:a4854df59ac211e2cbdb886ba79ecd977932370e0c02d38543959686576313e4

Observation 079860b3-7c31-43bc-a836-154403cad009 · outbound

This paper cites Online learning with predictable sequences.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Online learning with predictable sequences

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.505883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.128289Z digest=sha256:8f354293e813d62bb992da58d28c7a81b481d1a9867de71e24a332b6fc92476c

Observation bc46ba84-ad6c-433c-ae20-a23808371a90 · outbound

This paper cites Hypothesis testing with e-values.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Hypothesis testing with e-values

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-08T11:41:47.132043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:41:47.132043Z digest=sha256:ffb2e44df437cd9ff1e9a9c2720dc300a8c613b71353bbeb07acfb5fe4b22eb2

Observation 115e9a2d-45e6-4a24-986e-a82583348757 · outbound

This paper cites Fast convergence of regularized learning in games.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Fast convergence of regularized learning in games

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.495236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.135903Z digest=sha256:59de819d6e312241f1d01aa6af6198d1ecb33d9c21a25bdd3a61b0169d3fa8dd

Observation 61a0bb4b-3b42-45d0-a0cb-d62182b277ea · outbound

This paper cites Testing by betting: A strategy for statistical and scientific communication.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Testing by betting: A strategy for statistical and scientific communication

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.485141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.139362Z digest=sha256:acc4b09ca07d7ac1c081e37125ab3932ae14b0705c526b26602e2d3e6698f3ba

Observation 90d90905-1df5-4c3d-9399-f3a5196a1a32 · outbound

This paper cites Model- X sequential testing for conditional independence via testing by betting.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Model- X sequential testing for conditional independence via testing by betting

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.474880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.142876Z digest=sha256:ac70ffc343157d1fd7c3f7f0b75f214c968e184cf18ec898511c11ac0e166370

Observation 6c5d4f52-99a2-4da0-a4f9-6f565601f6a0 · outbound

This paper cites Nonparametric two-sample testing by betting.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Nonparametric two-sample testing by betting

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.464817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.146540Z digest=sha256:5dff68a6c9bda06e7c8ebd7d094377e93fd2423da68ff57bb4e17243007d48ef

Observation 2470e69f-783c-40cd-b2ed-ed997e80e2fe · outbound

This paper cites Online learning meets optimization in the dual.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Online learning meets optimization in the dual

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.454015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.150066Z digest=sha256:e23ba950719aef431fa4a26c47f02338826d738a4da75d4375e86dcc35489dc8

Observation 7199f8fe-47b1-47c0-a3f5-3149ba410cc6 · outbound

This paper cites Game-theoretic foundations for probability and finance , volume 455.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Game-theoretic foundations for probability and finance , volume 455

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.443316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.153608Z digest=sha256:2d25d52903531e9da28ddad72e268574b7243ca02caf9feab51856b0f9955923

Observation 9effc4cd-077f-451c-b711-6f6009f0f972 · outbound

This paper cites Data-dependent bounds for online portfolio selection without lipschitzness and smoothness.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Data-dependent bounds for online portfolio selection without lipschitzness and smoothness

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.431548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.157239Z digest=sha256:c4139b336417af813bb4aa0c381695efcba72aa052719a7c565fcf276a15a0f8

Observation f8861244-5eb1-4048-81aa-5909f6b5c157 · outbound

This paper cites I bet you did not mean that: Testing semantic importance via betting.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting I bet you did not mean that: Testing semantic importance via betting

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.419500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.160770Z digest=sha256:fbc0befafccd739b4688f25fe03de18d6b01bfb97af9bc5cf13688b4274312f9

Observation c54d215f-3f12-431b-949f-6a45aeaf5ce7 · outbound

This paper cites Open problem: Fast and optimal online portfolio selection.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Open problem: Fast and optimal online portfolio selection

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.407195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.164287Z digest=sha256:c7d9fbd9834a49edf4fb78ee5dbe9293ba747e604595707ff6694019a5bb34a8

Observation 4fc7e57d-93f6-4516-99c7-d9bfff8f6002 · outbound

This paper cites Etude critique de la notion de collectif.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Etude critique de la notion de collectif

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.393975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.167701Z digest=sha256:977fe0e95aaacd5bf1b464b3fc5d96b92851fd060d6c16e2dfa6d20e8cf23fed

Observation d3e08795-31a1-4b69-ae67-4c8c839b266f · outbound

This paper cites E-values: Calibration, combination and applications.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting E-values: Calibration, combination and applications

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.383335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.171274Z digest=sha256:a5e9c3ed1e2581dccf7ba2a58af6b314ed0b34985b28c3a6806a6b3678747b1d

Observation f8bacd11-d088-42e0-bc4e-40d8fd9f4fa2 · outbound

This paper cites Acceleration through optimistic no-regret dynamics.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Acceleration through optimistic no-regret dynamics

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.371751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.175149Z digest=sha256:c1a3c680f29e5b784979815fafb80153e0981cfe749466a2cac8c23d8e64c889

Observation d8a13079-5777-4696-b14f-47b7cf4b450d · outbound

This paper cites No-regret dynamics in the Fenchel game: A unified framework for algorithmic convex optimization.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting No-regret dynamics in the Fenchel game: A unified framework for algorithmic convex optimization

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.360628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.178751Z digest=sha256:cca6bfff4660f5a259ebfed1f59d731d1c048f0c727947c80c0f8bea4bb1aee1

Observation 61d65739-74cf-4268-9faf-56b3fa052093 · outbound

This paper cites Universal inference.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Universal inference

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.349567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.182059Z digest=sha256:fb73ddc9d21a4a9cd733a228377e436680bc80487a1b418945cda4a013554712

Observation f39a6984-2062-4ddb-a037-c5161c504106 · outbound

This paper cites Primal-dual interior-point methods.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Primal-dual interior-point methods

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.338595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.185461Z digest=sha256:7f21c39dc74c93732ed85fe2bd1d869d92c6ad191ee58fdaec4a7e8c8bd8e1b5

Observation 72c3e207-3f2e-4e4d-9e93-d97aae624536 · outbound

This paper cites Estimating means of bounded random variables by betting.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Estimating means of bounded random variables by betting

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.327722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.188948Z digest=sha256:871fb93997c10077d5e9220d76bf4f06514daa8f66cc9623937cb229bdd93ab9

Observation 50e1f804-9000-45cd-9f66-464144733b3f · outbound

This paper cites Universal Log-Optimality for General Classes of e-processes and Sequential Hypothesis Tests.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Universal Log-Optimality for General Classes of e-processes and Sequential Hypothesis Tests

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-08T11:41:47.192434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:41:47.192434Z digest=sha256:c299e1be069b424b02c15ac895b3941569bb0e1ab28acfd3a2c1fdda61ddcc7f

Observation e301d419-c223-4147-8606-bdcfa5dbbe34 · outbound

This paper cites Pushing the efficiency-regret pareto frontier for online learning of portfolios and quantum states.

Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting Pushing the efficiency-regret pareto frontier for online learning of portfolios and quantum states

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:41:47.317297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T11:41:47.195993Z digest=sha256:334415a6a36a8ef004c37cc84e3af244e9566021647a3165fa3eb4bfc000131a

Pith citing papers

No inbound Pith citation observations are available.