Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T14:34:48.577356Z
Paper Citation Record · LEDGER
Online change point detection under heavy-tailedness and contamination
As of 7 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2606.09737.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T14:55:40.746091Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
24 of 24 outbound references displayed
- verified exact5
- verified fuzzy0
- unresolved19
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 600172c5-3bea-4dce-aee8-ce4a584e96ac · outbound
This paper cites an unresolved cited work.
Online change point detection under heavy-tailedness and contamination Unresolved cited work
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15158481-ea77-45ff-9a7e-b0c62a1b866d · outbound
This paper cites The group fused Lasso for multiple change-point detection.
Online change point detection under heavy-tailedness and contamination The group fused Lasso for multiple change-point detection
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T03:47:35.950065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0355bbf7-ff5a-4fd7-a477-96986151e73f · outbound
This paper cites Neural network-based CUSUM for online change-point detection.
Online change point detection under heavy-tailedness and contamination Neural network-based CUSUM for online change-point detection
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T03:47:35.945039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5a63ab97-bef3-47e1-b8d0-7bf7b96be020 · outbound
This paper cites Robust estimation algorithms don't need to know the corruption level.
Online change point detection under heavy-tailedness and contamination Robust estimation algorithms don't need to know the corruption level
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T03:47:35.947564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f4297a73-711d-47be-a1e5-b793cb4d8bba · outbound
This paper cites Robust empirical mean Estimators.
Online change point detection under heavy-tailedness and contamination Robust empirical mean Estimators
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T03:47:35.939413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d43b6389-8123-48db-adde-12868eadc2fb · outbound
This paper cites A general methodology for fast online changepoint detection.
Online change point detection under heavy-tailedness and contamination A general methodology for fast online changepoint detection
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T03:47:35.943554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5488eb91-02df-4378-bb65-94d577ad3699 · outbound
This paper cites Proof.To begin, note first that for anyf∈ S(∆, κ),f 0 ∈ S0,T∈ T(α) from (2), we have Pf(ˆt >∆ +n) =P f(ˆt >∆ +n) +P f0(ˆt≤∆ +n)−P f0(ˆt≤∆ +n).
Online change point detection under heavy-tailedness and contamination Proof.To begin, note first that for anyf∈ S(∆, κ),f 0 ∈ S0,T∈ T(α) from (2), we have Pf(ˆt >∆ +n) =P f(ˆt >∆ +n) +P f0(ˆt≤∆ +n)−P f0(ˆt≤∆ +n)
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a2aae8b-9cb7-45b9-8b02-5d40fc7a8850 · outbound
This paper cites 39 Now, letf (1) i =uκ1 {i≤∆} andf (2) i =mκ1 {i≤∆}, wherem, u i.i.d.∼Unif({−1,1}).
Online change point detection under heavy-tailedness and contamination 39 Now, letf (1) i =uκ1 {i≤∆} andf (2) i =mκ1 {i≤∆}, wherem, u i.i.d.∼Unif({−1,1})
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b2cebbe-7271-46c5-b308-207f00741ef1 · outbound
This paper cites an unresolved cited work.
Online change point detection under heavy-tailedness and contamination Unresolved cited work
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66edbd9b-fd83-4ab6-abc1-3fb70170e899 · outbound
This paper cites where the third inequality follows from (S22) and fourth inequality follows from (S17).
Online change point detection under heavy-tailedness and contamination where the third inequality follows from (S22) and fourth inequality follows from (S17)
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 046cff8b-3c02-4ca1-b94c-fef4c901daf2 · outbound
This paper cites For our proofs below, we will assume our variablesε, p, n, δsatisfy u≤0.08.
Online change point detection under heavy-tailedness and contamination For our proofs below, we will assume our variablesε, p, n, δsatisfy u≤0.08
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8dfcee8c-e19c-46c5-90b8-471de3b6154a · outbound
This paper cites Then, fort= 1 until termination, we proceed as follows.
Online change point detection under heavy-tailedness and contamination Then, fort= 1 until termination, we proceed as follows
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e4f20e3-0a53-40fb-9f6a-afb929bd0c14 · outbound
This paper cites Remark S1.Given eventA, defined in(S36), the number of iterationsNbeing at most6unensures ∥1B −w (N) B ∥1 ≤un, which implies∥1 G −w (N) G ∥1 ≤5unusing(S40).
Online change point detection under heavy-tailedness and contamination Remark S1.Given eventA, defined in(S36), the number of iterationsNbeing at most6unensures ∥1B −w (N) B ∥1 ≤un, which implies∥1 G −w (N) G ∥1 ≤5unusing(S40)
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02309eb8-692d-432f-9216-1f9ac5f6073c · outbound
This paper cites Indeed, suppose not, and let vG denote the restriction ofvonto the coordinates inG, and letv B denote the restriction ofvonto the coordinates inB.
Online change point detection under heavy-tailedness and contamination Indeed, suppose not, and let vG denote the restriction ofvonto the coordinates inG, and letv B denote the restriction ofvonto the coordinates inB
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b639aa6-fbfd-4e72-9897-81991157c967 · outbound
This paper cites an unresolved cited work.
Online change point detection under heavy-tailedness and contamination Unresolved cited work
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 390d7585-ed56-480d-bbf5-f0f5a03e8fa9 · outbound
This paper cites Then, ∥XY∥ ψθ/2 =∥X∥ ψθ ∥Y∥ ψθ.
Online change point detection under heavy-tailedness and contamination Then, ∥XY∥ ψθ/2 =∥X∥ ψθ ∥Y∥ ψθ
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b139c6e6-672a-4507-8110-20f04ab6c8ca · outbound
This paper cites A slightly-modified version of their approach is described in Algorithm S5.
Online change point detection under heavy-tailedness and contamination A slightly-modified version of their approach is described in Algorithm S5
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 817dab80-4857-40b8-9d57-3aca0d1714d0 · outbound
This paper cites Li and Yu (2021) has generalised the proof to study the dynamic Huber contamination model setting stated in Definition 1 under the finite variance assumption ofF.
Online change point detection under heavy-tailedness and contamination Li and Yu (2021) has generalised the proof to study the dynamic Huber contamination model setting stated in Definition 1 under the finite variance assumption ofF
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73034e72-6dac-4e1b-92c6-74f90481919c · outbound
This paper cites Vershynin, 2026, Corollary 1.6.3).
Online change point detection under heavy-tailedness and contamination Vershynin, 2026, Corollary 1.6.3)
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 042a7cf0-2c8f-462d-8df2-f39fb15771e6 · outbound
This paper cites To get the claimed bound, we need to studyF 0(ˆI) andF h 0 (ˆI) = |ˆhF0 |P Zi∈Z1 1 Zi∼F0.
Online change point detection under heavy-tailedness and contamination To get the claimed bound, we need to studyF 0(ˆI) andF h 0 (ˆI) = |ˆhF0 |P Zi∈Z1 1 Zi∼F0
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0819bfbf-aeb3-4443-b281-7ee31f60d539 · outbound
This paper cites Theorem 8.3.9 in Vershynin (2026)).
Online change point detection under heavy-tailedness and contamination Theorem 8.3.9 in Vershynin (2026))
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70936842-4c6a-43f7-ad4b-3a670c8f49f3 · outbound
This paper cites an unresolved cited work.
Online change point detection under heavy-tailedness and contamination Unresolved cited work
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64c5df33-cacf-46c3-8621-2eace8a114ef · outbound
This paper cites −Cθ R2 −p M 2 θ/2# + 2 exp −Cθ (R2 −p) 2 pM 4 . 97 Therefore, using (S95), we have ∥M(G)−nI∥ op ≤ p 2nplog(2p/δ) + 4R2 3 log(2p/δ) + √ 2nϕ2 exp.
Online change point detection under heavy-tailedness and contamination −Cθ R2 −p M 2 θ/2# + 2 exp −Cθ (R2 −p) 2 pM 4 . 97 Therefore, using (S95), we have ∥M(G)−nI∥ op ≤ p 2nplog(2p/δ) + 4R2 3 log(2p/δ) + √ 2nϕ2 exp
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3d589af-f46f-41d8-8c75-a89a9e408340 · outbound
This paper cites Let Z= nX ℓ=1 aℓYℓ 2 ,EZ 2 =nE∥Y∥ 2 2, and σ2 = sup ∥x∥2≤1 E|⟨x,Y⟩| 2 = E[YY⊤] op.
Online change point detection under heavy-tailedness and contamination Let Z= nX ℓ=1 aℓYℓ 2 ,EZ 2 =nE∥Y∥ 2 2, and σ2 = sup ∥x∥2≤1 E|⟨x,Y⟩| 2 = E[YY⊤] op
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T14:34:48.577356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 6205f702-1f6f-47d9-ae36-545760f383b6 · inbound
Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations cites this paper.
Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations Online change point detection under heavy-tailedness and contamination
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:55:40.746091Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.