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Paper Citation Record · LEDGER

Diagnostic Tools for Extreme Value Regression Models

As of 14 August 2026, this Paper Citation Record lists 100 of 114 outbound references and 0 inbound Pith citation observations for arXiv:2606.02676.

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

pith.paper-citation-record.v1
2606.02676 v1

Coverage vector

measured 100 of 114 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T13:16:15.829149Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

100 of 114 outbound references displayed

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  • verified fuzzy0
  • unresolved94
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f50046c-fe42-4efa-b4d6-8de821eb70b0 · outbound

This paper cites and Nagaraja, H.N.

Diagnostic Tools for Extreme Value Regression Models and Nagaraja, H.N

Reference 1

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Observation 57e04b55-0606-4b3d-bdbb-2c2022ee4091 · outbound

This paper cites Ocean Engineering , pages =.

Diagnostic Tools for Extreme Value Regression Models Ocean Engineering , pages =

Reference 2

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Observation d74f02e3-a60b-40a7-8aaf-49e1320920c7 · outbound

This paper cites 1995 , publisher=.

Diagnostic Tools for Extreme Value Regression Models 1995 , publisher=

Reference 3

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Observation 6db482a1-389d-47c0-8144-2bece2bb73f1 · outbound

This paper cites 2025 , author =.

Diagnostic Tools for Extreme Value Regression Models 2025 , author =

Reference 4

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Observation e8e8c192-fb54-4116-972f-f8545ffae349 · outbound

This paper cites an unresolved cited work.

Diagnostic Tools for Extreme Value Regression Models Unresolved cited work

Reference 5

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Observation d53c63a7-7908-403d-81c3-3f506a0509f8 · outbound

This paper cites Journal of Climate , number =.

Diagnostic Tools for Extreme Value Regression Models Journal of Climate , number =

Reference 6

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Observation 03168faf-cb09-4726-a533-b6654f563449 · outbound

This paper cites Biometrika , volume=.

Diagnostic Tools for Extreme Value Regression Models Biometrika , volume=

Reference 7

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Observation 6d2f2992-08a9-4e79-9b82-bddfe780b86d · outbound

This paper cites Ocean Engineering , volume=.

Diagnostic Tools for Extreme Value Regression Models Ocean Engineering , volume=

Reference 8

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Observation 1397739a-7f17-43c2-89cb-95a8818b9425 · outbound

This paper cites Spherical.

Diagnostic Tools for Extreme Value Regression Models Spherical

Reference 9

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Observation 3665cbeb-46c9-47bb-89b8-fd87d7fa8dc4 · outbound

This paper cites , author=.

Diagnostic Tools for Extreme Value Regression Models , author=

Reference 10

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Observation bade3645-4a1b-4d3c-88d3-eceeaa78aad5 · outbound

This paper cites Modified.

Diagnostic Tools for Extreme Value Regression Models Modified

Reference 11

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Observation 9424a9ca-b63d-4427-9133-39280faa2b55 · outbound

This paper cites 2004 , publisher=.

Diagnostic Tools for Extreme Value Regression Models 2004 , publisher=

Reference 12

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Observation 9419fde6-612e-4af0-aed3-c6eec6aa7af5 · outbound

This paper cites Development of a Probabilistic Surrogate Model for Loads on an Embedded Plate Anchor.

Diagnostic Tools for Extreme Value Regression Models Development of a Probabilistic Surrogate Model for Loads on an Embedded Plate Anchor

Reference 13

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Observation 9289916e-7f02-430f-966c-2973b43be8e6 · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=

Reference 14

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Observation 9181c1f9-8089-4185-ae83-6ceec8b9a7aa · outbound

This paper cites Zanini and E.

Diagnostic Tools for Extreme Value Regression Models Zanini and E

Reference 15

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Observation cfec5a61-644b-43d7-a1bd-c1e8eeb43cff · outbound

This paper cites 2020 , doi=.

Diagnostic Tools for Extreme Value Regression Models 2020 , doi=

Reference 16

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Observation ef929120-954f-4f2e-9cbf-e671346705a7 · outbound

This paper cites and Turnbull, K.

Diagnostic Tools for Extreme Value Regression Models and Turnbull, K

Reference 17

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Observation a112f7a8-8d6d-4843-9e87-75516298a719 · outbound

This paper cites Youngman , title =.

Diagnostic Tools for Extreme Value Regression Models Youngman , title =

Reference 18

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Observation 9931f88d-40bc-4a62-afc7-0866498e70b7 · outbound

This paper cites 2023 , doi =.

Diagnostic Tools for Extreme Value Regression Models 2023 , doi =

Reference 19

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Observation 45c30076-1e2f-4a90-aaaf-a5f563c7e66b · outbound

This paper cites and Huser, R.

Diagnostic Tools for Extreme Value Regression Models and Huser, R

Reference 20

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Observation c5c8ba13-1f86-4a51-9e8f-7e4db2361039 · outbound

This paper cites The Annals of Applied Statistics , volume=.

Diagnostic Tools for Extreme Value Regression Models The Annals of Applied Statistics , volume=

Reference 21

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Observation 682e2785-1a30-459a-b728-7cb44f8c2b21 · outbound

This paper cites Insights into the drivers and spatiotemporal trends of extreme.

Diagnostic Tools for Extreme Value Regression Models Insights into the drivers and spatiotemporal trends of extreme

Reference 22

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Observation 00f15438-5216-4536-a20c-c3fa6aa4e5f2 · outbound

This paper cites Journal of the Royal Statistical Society: Series C (Applied Statistics) , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of the Royal Statistical Society: Series C (Applied Statistics) , volume=

Reference 23

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Observation 74a0fb24-27ff-4eb3-bf7d-7da79b15d3e7 · outbound

This paper cites qgam: Bayesian nonparametric quantile regression modeling in.

Diagnostic Tools for Extreme Value Regression Models qgam: Bayesian nonparametric quantile regression modeling in

Reference 24

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Observation 8e4c2cbf-242c-453f-8de9-f57ee40b913e · outbound

This paper cites Journal of the American Statistical Association , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of the American Statistical Association , volume=

Reference 25

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Observation 44a6bf66-dfef-4a8d-bdb0-25d80a421228 · outbound

This paper cites An extreme value analysis of daily new cases of.

Diagnostic Tools for Extreme Value Regression Models An extreme value analysis of daily new cases of

Reference 26

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Observation 72be4528-d626-4c3a-976c-e0b17ea6e043 · outbound

This paper cites Health Services and Outcomes Research Methodology , pages=.

Diagnostic Tools for Extreme Value Regression Models Health Services and Outcomes Research Methodology , pages=

Reference 27

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Observation b6365ec9-a6d7-4664-a54e-7f0bd69bc675 · outbound

This paper cites evgam: An.

Diagnostic Tools for Extreme Value Regression Models evgam: An

Reference 28

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Observation d14afe70-0743-46ac-ba2b-7dd25f2473dd · outbound

This paper cites Extremes , year=.

Diagnostic Tools for Extreme Value Regression Models Extremes , year=

Reference 29

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Observation 5aad4145-4631-4647-aaa3-bd945ddfcb04 · outbound

This paper cites Journal of Hydrology , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of Hydrology , volume=

Reference 30

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Observation 9b585d9c-e0a8-4744-be32-0561f8a5104b · outbound

This paper cites Journal of Hydrology , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of Hydrology , volume=

Reference 31

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Observation fe2ba0e6-be77-433c-a013-aaaa133994fa · outbound

This paper cites Natural Hazards and Earth System Sciences , volume=.

Diagnostic Tools for Extreme Value Regression Models Natural Hazards and Earth System Sciences , volume=

Reference 32

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Observation 4f74f830-611a-424d-b926-232513f572bf · outbound

This paper cites Journal of the Royal Statistical Society: Series C (Applied Statistics) , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of the Royal Statistical Society: Series C (Applied Statistics) , volume=

Reference 33

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Observation 01caf895-cd7f-4275-a05e-5f218b7056db · outbound

This paper cites Advances in Water Resources , volume=.

Diagnostic Tools for Extreme Value Regression Models Advances in Water Resources , volume=

Reference 34

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Observation aacadcec-769c-4fc6-bf89-b1c68068ad43 · outbound

This paper cites Water Resources Management , volume=.

Diagnostic Tools for Extreme Value Regression Models Water Resources Management , volume=

Reference 35

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Observation e23ec44b-79d9-4728-80e1-4922f10de73b · outbound

This paper cites Journal of Risk and Insurance , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of Risk and Insurance , volume=

Reference 36

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Observation baf58bf6-d3ac-4eb1-b896-a808830ff754 · outbound

This paper cites Journal of Computational and Graphical Statistics , pages=.

Diagnostic Tools for Extreme Value Regression Models Journal of Computational and Graphical Statistics , pages=

Reference 37

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Observation 1a661f11-aed9-4658-9326-1b56ca29b614 · outbound

This paper cites Journal of Structural Engineering , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of Structural Engineering , volume=

Reference 38

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Observation 51331bc7-d937-4fa9-9c43-0a1ea822c837 · outbound

This paper cites Lawrence, Canada , author=.

Diagnostic Tools for Extreme Value Regression Models Lawrence, Canada , author=

Reference 39

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Observation ef062b44-615c-493b-aaa5-b1188b3739e4 · outbound

This paper cites Weather and Climate Extremes , volume=.

Diagnostic Tools for Extreme Value Regression Models Weather and Climate Extremes , volume=

Reference 40

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Observation ad41fd77-d294-4af0-b400-82a5cfea0c8e · outbound

This paper cites Earth System Dynamics , volume=.

Diagnostic Tools for Extreme Value Regression Models Earth System Dynamics , volume=

Reference 41

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Observation fbc2591f-3c5b-4983-86f0-7a58e18dcfa5 · outbound

This paper cites Advances in Statistical Climatology, Meteorology and Oceanography , volume=.

Diagnostic Tools for Extreme Value Regression Models Advances in Statistical Climatology, Meteorology and Oceanography , volume=

Reference 42

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Observation 27af3014-766b-4f8d-8c09-18d645ce11fc · outbound

This paper cites Water Resources Management , volume=.

Diagnostic Tools for Extreme Value Regression Models Water Resources Management , volume=

Reference 43

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:27a7abf7420b4c12c299d91673782cf87f8652854f08c625aa6c71d1344f620f

Observation dfa5b953-d9e9-4e56-aa2b-39b79b01ec4b · outbound

This paper cites Ocean Engineering , volume=.

Diagnostic Tools for Extreme Value Regression Models Ocean Engineering , volume=

Reference 44

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:27c53b5678c216842be58ad4d5bc1b1f5e75b14f29607e61092eb74e31840739

Observation 7268cca0-1b7c-4d2f-99ef-2b1e11e0b42a · outbound

This paper cites Extremes in a Changing Climate: Detection, Analysis and Uncertainty , pages=.

Diagnostic Tools for Extreme Value Regression Models Extremes in a Changing Climate: Detection, Analysis and Uncertainty , pages=

Reference 45

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:46b3a8a4209fc08a905ecd47ec7d7a05246126697a6d2a345ebdf0de592bfe1f

Observation baedf7df-fac8-45e3-9b37-3695507803d8 · outbound

This paper cites Journal of Applied Econometrics , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of Applied Econometrics , volume=

Reference 46

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:18988fb1f2a328e59829404c5ca37de909673555f897dd962c8dcbd8232f7f01

Observation 6fcebaa9-eca7-49f3-ac02-f154e4cd3d05 · outbound

This paper cites an unresolved cited work.

Diagnostic Tools for Extreme Value Regression Models Unresolved cited work

Reference 47

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:8beaeb059ed5e86d9d2954254df52a663430e9d16b4c58d8845db10f5ef99f90

Observation 495a4f69-3718-450a-b5fe-40d1163d6789 · outbound

This paper cites Journal of Applied Statistics , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of Applied Statistics , volume=

Reference 48

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:3bfb011a3d82c229e1c77c25144a0fce28c1ac3cacea604f22c7c91e8ea04fe2

Observation 972a3990-b77e-46eb-9e60-d9d839caad8d · outbound

This paper cites an unresolved cited work.

Diagnostic Tools for Extreme Value Regression Models Unresolved cited work

Reference 49

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:cf595a1550318b9a6f761a2b262a9bc320ffeb551ffe12adbbe6cb8ca09fab6a

Observation 06bc1955-c24b-45d7-b30c-bfb0ce87f5f8 · outbound

This paper cites Ecography , volume=.

Diagnostic Tools for Extreme Value Regression Models Ecography , volume=

Reference 50

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:8ed6733dc00695b2e5c849ef3d812e1421719a185ad31cb4ff3c7ffd46d14fd8

Observation fd3bd55e-c5ff-40df-9059-6ef0feed130f · outbound

This paper cites Journal of Offshore Mechanics and Arctic Engineering , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of Offshore Mechanics and Arctic Engineering , volume=

Reference 51

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:fda2fcc16762162d50dbb9848ec922f34ecbfe0c53a0059336675e70d81ea9b0

Observation a3ccbf8f-f088-4ed2-a73f-1a4fe116a75b · outbound

This paper cites Extreme value analysis of a large designed experiment:.

Diagnostic Tools for Extreme Value Regression Models Extreme value analysis of a large designed experiment:

Reference 52

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:dcbd6ec46e4cb9d8cef967c7c357960d9e8a6bac25f7c8e453377f282b6e4620

Observation fb49035f-f568-466d-a0e8-b70bb2c1f048 · outbound

This paper cites Deep Learning of Multivariate Extremes via a Geometric Representation.

Diagnostic Tools for Extreme Value Regression Models Deep Learning of Multivariate Extremes via a Geometric Representation

Reference 53

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arxiv_id, observed 2026-07-02T00:46:24.679284Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:d5b6bf72d0cc24fcb6227e1e861f4dba8600ab3238d1f9deaf9d522bd60667c3

Observation a18bfe32-a9d9-4593-9511-6265495775b9 · outbound

This paper cites Extremes , volume=.

Diagnostic Tools for Extreme Value Regression Models Extremes , volume=

Reference 54

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:6c82d7336a2769d8521938abfd8f89857d917a7ce8ebb243d85921b294f59b00

Observation 238e9abd-81f9-4e41-a55d-4826bfed448b · outbound

This paper cites The Annals of Applied Statistics , volume=.

Diagnostic Tools for Extreme Value Regression Models The Annals of Applied Statistics , volume=

Reference 55

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:50d34825b262fecb2861a000e5bd3360c7271379d0ea70aa00ff37df63a67bdb

Observation e0b0c157-0031-449b-bcc4-417436092d58 · outbound

This paper cites Electronic Journal of Statistics , volume=.

Diagnostic Tools for Extreme Value Regression Models Electronic Journal of Statistics , volume=

Reference 56

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:28ed2f4b0e76a53f00641de3a4d612e48fce96bf0f1998479925a149df53ccce

Observation 2bd0a866-de9e-4297-8fc4-681beace4d98 · outbound

This paper cites Bayesian Analysis , year=.

Diagnostic Tools for Extreme Value Regression Models Bayesian Analysis , year=

Reference 57

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:3879966d4fbf300a9ae109edaf60931fe95f21409b3d8b236e82d1bb87a80444

Observation 49df59e0-b2b3-49fe-9f10-3c1ce847de01 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Diagnostic Tools for Extreme Value Regression Models Adam: A Method for Stochastic Optimization

Reference 58

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local_arxiv, observed 2026-07-02T00:46:24.674917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:7a58a2d68f57fad5970e60bedcfe6c711912bb3fb94ef350ee7b0cec713993f5

Observation 7ad44d62-98d1-4feb-a9b3-4a03d60e22d5 · outbound

This paper cites Spatial Statistics , volume=.

Diagnostic Tools for Extreme Value Regression Models Spatial Statistics , volume=

Reference 59

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:47c5e974f71d420b91882c358d5e4efbf2b04ce3a91db66bd9e080b1a8399341

Observation d6cf0550-8c2b-4e0c-b40f-b68233977f80 · outbound

This paper cites Inference for extreme earthquake magnitudes accounting for a time-varying measurement process.

Diagnostic Tools for Extreme Value Regression Models Inference for extreme earthquake magnitudes accounting for a time-varying measurement process

Reference 60

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verified exact
arxiv_id, observed 2026-07-02T00:46:24.682858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:40608a7bae66aa05d0ad164f141063a9aa4d22b01aa7182ca6b5e5ff72712d95

Observation 9f260b14-efba-4c6f-957c-0214290fad54 · outbound

This paper cites Neural Networks: Tricks of the Trade , pages=.

Diagnostic Tools for Extreme Value Regression Models Neural Networks: Tricks of the Trade , pages=

Reference 61

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:621fa44360b78ed9cdbf0e1a638c511671f577fd496970425c2b56e9a088bde3

Observation 22ec168d-eb16-4b5a-bd33-f64ae6aa4e29 · outbound

This paper cites Generative modelling of multivariate geometric extremes using normalising flows.

Diagnostic Tools for Extreme Value Regression Models Generative modelling of multivariate geometric extremes using normalising flows

Reference 62

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arxiv_id, observed 2026-07-02T00:46:24.686131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:4ab86647fe5396bfe1db7e8cb67177d869ba0c1db11d8e407a3e4f79ef30c280

Observation 1e49f278-25a2-4fe0-8645-ac6ab01a050d · outbound

This paper cites Applied Ocean Research , volume=.

Diagnostic Tools for Extreme Value Regression Models Applied Ocean Research , volume=

Reference 63

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:953823f8075cf8fd52f85f959f3b9cab4ba4294cc51cae4c6713322a9e692c5b

Observation dd993159-d108-499b-8f7a-b72a82da1431 · outbound

This paper cites Marine Structures , volume=.

Diagnostic Tools for Extreme Value Regression Models Marine Structures , volume=

Reference 64

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:5825b85c8a6d9415f61e8646ce2dabab57d0790538f18d6c50477fbed47d085a

Observation 625bcff2-e03e-4acb-8c7d-d52712ea8e8b · outbound

This paper cites Climatic Change , volume=.

Diagnostic Tools for Extreme Value Regression Models Climatic Change , volume=

Reference 65

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:aef5888f26277c4811586b11cc8bbeb4e1d1cf2a01be85fdef9a4ac6164c46a2

Observation f5251534-a7b1-4b70-9d92-cb4f07aaf0b1 · outbound

This paper cites Statistics in Medicine , volume=.

Diagnostic Tools for Extreme Value Regression Models Statistics in Medicine , volume=

Reference 66

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:eb285e424eaac4f4c5ef6cca9c5bb33735a79ef36b681a12de537f70d969aaec

Observation bc9698a2-00d2-452d-9901-623aa9c35753 · outbound

This paper cites Statistical Modelling , volume=.

Diagnostic Tools for Extreme Value Regression Models Statistical Modelling , volume=

Reference 67

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:18b5fed77ab57b7d7161500962a632219626103b0e71930265f70808391bedf1

Observation 802c688f-1998-4379-8fea-b5916fde88e2 · outbound

This paper cites Quantile Regression , publisher=.

Diagnostic Tools for Extreme Value Regression Models Quantile Regression , publisher=

Reference 68

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:b8e58c9f466606e90de39d0c3ce84494ecbafe43684ed747b484ea097ce41c7e

Observation 1e9f9d8d-7b66-48b2-a0fd-bf2d853dee98 · outbound

This paper cites Journal of Computational and Graphical Statistics , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of Computational and Graphical Statistics , volume=

Reference 69

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:5380dca25018adc30ff599905d0c42c086d61d6d3a237cdd8482beb683d453e8

Observation 1e8fa877-06c2-4d2b-8f8f-a85232e18f3b · outbound

This paper cites Biometrika , volume=.

Diagnostic Tools for Extreme Value Regression Models Biometrika , volume=

Reference 70

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:39dbf48362e2eabd4181ae25a3f1ede075b261713b0338557de34ba45d2c68d8

Observation 9f818b15-4744-4911-bfec-8a797440db90 · outbound

This paper cites Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence , pages =.

Diagnostic Tools for Extreme Value Regression Models Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence , pages =

Reference 71

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:1d268a27d275999a27d41b6c0f6dbc557771c2adaa1cf7f319b2567fc445aa36

Observation 4f275b57-7a49-47f0-9545-d60043599a4a · outbound

This paper cites Annual Review of Statistics and Its Application , volume=.

Diagnostic Tools for Extreme Value Regression Models Annual Review of Statistics and Its Application , volume=

Reference 72

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:7b094ae2bb0d0071e8d11bf60271b13e9f801d57cde23f4d192c54b48ee48f1a

Observation f84bbf3a-2835-4cf5-9c74-8f85055b6989 · outbound

This paper cites Electronic Journal of Statistics , volume=.

Diagnostic Tools for Extreme Value Regression Models Electronic Journal of Statistics , volume=

Reference 73

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:52b6cb4ec532f7cf2e02e5653e3f3b419574ddd65732544be3d2daf603661eb4

Observation d2f01991-36ac-482e-92fd-76104ac74476 · outbound

This paper cites Energy , volume=.

Diagnostic Tools for Extreme Value Regression Models Energy , volume=

Reference 74

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:5473067eb2613cb4ad3583150f12cd289e506916f361b03d6ef36ed75bacf57f

Observation d4b351fd-6744-4345-a70c-768e44ffbd9c · outbound

This paper cites Journal of the Royal Statistical Society.

Diagnostic Tools for Extreme Value Regression Models Journal of the Royal Statistical Society

Reference 75

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:40d551581cfa08e9e9580fa195fd3979bf6145e541fec2c8b38d87de592039c0

Observation bca69f4f-a37c-43fb-b43a-679fe9776efe · outbound

This paper cites 1983 , publisher=.

Diagnostic Tools for Extreme Value Regression Models 1983 , publisher=

Reference 76

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:f32f34484faa3fc66bfc732bdb66f70f709b83c53b750674628c60026ce2cc3e

Observation 702e6602-aa61-40a3-a05a-47160a228532 · outbound

This paper cites Journal of Hydrology , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of Hydrology , volume=

Reference 77

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:29f91bb7e5f537e561c0068cc328b5b4ccc139d4c069171bf6be62077feb8e2b

Observation 55212058-85b1-4cd8-9564-3bb062ecd050 · outbound

This paper cites Communications in Statistics-Theory and Methods , volume=.

Diagnostic Tools for Extreme Value Regression Models Communications in Statistics-Theory and Methods , volume=

Reference 78

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:882dfbabb6536a247cf1c5efe1759ca19cecbbd1a9104d99b2ed76223af0ab4a

Observation f320238d-8ca0-4bb4-b73c-9140b55a7eff · outbound

This paper cites Journal of Hydrology , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of Hydrology , volume=

Reference 79

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:dc7dfedc7d5e946e4c40a0f35b494e4c76a49d9e35a29b04e2ec3749917f2c88

Observation f207ee25-7e48-4f09-b91f-5ae914e19c39 · outbound

This paper cites Journal of Applied Statistics , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of Applied Statistics , volume=

Reference 80

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:e223f4ef2be844063153bca6ddd55144164bade4e32089382b08e58d4fe499ad

Observation 43a7cd73-513c-446b-b2f8-1655e4d269ac · outbound

This paper cites Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning.

Diagnostic Tools for Extreme Value Regression Models Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning

Reference 81

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T00:46:24.690023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:9ef29afd265190bec1172aee17d347041d424b517ccc62716a534dabe39805e4

Observation 01b5e5b8-c41d-44fd-9b28-07ea8c12a89c · outbound

This paper cites Tawn and Zak Varty , title =.

Diagnostic Tools for Extreme Value Regression Models Tawn and Zak Varty , title =

Reference 82

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:2853bac94eaa75eeb17800b73cca2d5345e613959f787471fbf904435593d95d

Observation 19478e43-c94b-4057-9470-69d5cc541425 · outbound

This paper cites REVSTAT-Statistical Journal , volume=.

Diagnostic Tools for Extreme Value Regression Models REVSTAT-Statistical Journal , volume=

Reference 83

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:31d1b35c26f5ab7f6e756182472c2c1c11150c481accaa02bfddac73e6a65933

Observation b8e3f6db-d7b4-4bf5-81c7-202187fda251 · outbound

This paper cites Journal of Empirical Finance , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of Empirical Finance , volume=

Reference 84

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:d70e242a021c30317306e7e76830fddd83bff9ae74fa6404cc92b0d1aba26d78

Observation 81046ef5-02dc-440a-a8a7-9d32ca9f182e · outbound

This paper cites Diebold and Todd A.

Diagnostic Tools for Extreme Value Regression Models Diebold and Todd A

Reference 85

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:8a55bc4d475d9a8a4ad35a4e3f2485b74b328829934d2f2522de66ef91b8c679

Observation 3ffdabe5-ec19-4157-88a5-139b33aa79b1 · outbound

This paper cites The Annals of Statistics , pages=.

Diagnostic Tools for Extreme Value Regression Models The Annals of Statistics , pages=

Reference 86

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:78d2cdfa00ed88b0ece0c095a7d15bd85dc06404188c9ff1354e98ec6fe6dbcf

Observation 830babce-e38c-4ea6-b103-662b667f5e99 · outbound

This paper cites Journal of the American Statistical Association , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of the American Statistical Association , volume=

Reference 87

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:b4629b0304059e9855df27dcf0760caaaac66b499b140c24f43863897d35e8e6

Observation eae430b5-5c6a-4f73-bae2-cd8ed65e713a · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=

Reference 88

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:88a8e35fdff7492b248d928409ffb044e0111a510c025dd93b82c55b59dbe0d1

Observation c9fd5681-f8b2-4d7f-b96a-a119ab1dd1b0 · outbound

This paper cites 2007 , publisher=.

Diagnostic Tools for Extreme Value Regression Models 2007 , publisher=

Reference 89

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:d72e0e339a9b686a2140f181e4c1e578ba7bbf98e5907a63bf75a358eba58f1b

Observation e4091334-85e3-427a-88f3-3d9398281572 · outbound

This paper cites Monthly Weather Review , volume=.

Diagnostic Tools for Extreme Value Regression Models Monthly Weather Review , volume=

Reference 90

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:6396010dcee40210fcec6d5388fc62584755624c11a4dea2811a4b0c82d5e91c

Observation 0805c108-4e1c-462b-83d7-318596b771ab · outbound

This paper cites 2007 , journal=.

Diagnostic Tools for Extreme Value Regression Models 2007 , journal=

Reference 91

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:eacdf2c63bd2c08b7e177e20e2e0a6ee43f6fe210bb22b8b7a4ba39891c0a075

Observation c0e8a421-5eb4-42a3-b0cd-62cbad99d63c · outbound

This paper cites Measuring Statistical Dependence with Hilbert-Schmidt Norms.

Diagnostic Tools for Extreme Value Regression Models Measuring Statistical Dependence with Hilbert-Schmidt Norms

Reference 92

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:6d54ab4ed18f5db28182827e6da37e1f08cdc0bad406460fe0df645fa2e627df

Observation 05a8ee12-3e3c-4806-af8c-3a96648bc78c · outbound

This paper cites Extreme value theory based on the.

Diagnostic Tools for Extreme Value Regression Models Extreme value theory based on the

Reference 93

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:e6b7af126183dec83bb9ae9414abdbcec3944bf4c4c9fceafa39b08959f5e305

Observation 4d8d3849-3e6f-437b-94a5-c0f6e5b334e6 · outbound

This paper cites Estimation of parameters and large quantiles based on the.

Diagnostic Tools for Extreme Value Regression Models Estimation of parameters and large quantiles based on the

Reference 94

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:79f3d232395d4396a26c7156733a7972e0f0ad6e3452ef9f6d114c2dc7c84ec3

Observation 8bc01968-bd72-415d-a842-16faa27bdb0e · outbound

This paper cites an unresolved cited work.

Diagnostic Tools for Extreme Value Regression Models Unresolved cited work

Reference 95

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:581c4d1afda82a256dc1cc749585c92139b395946fc2c1e3d29c5d4231e141bd

Observation 76f6f5ee-1e77-45ba-b1d2-b0c91afacb9f · outbound

This paper cites Journal of the American statistical association , volume=.

Diagnostic Tools for Extreme Value Regression Models Journal of the American statistical association , volume=

Reference 96

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:832cbf715270f6ecf067f904b87809bf91d9c1503b39f547be40280bda37e075

Observation b7af6928-f65d-4a63-a6e9-9c4bb78f07f5 · outbound

This paper cites an unresolved cited work.

Diagnostic Tools for Extreme Value Regression Models Unresolved cited work

Reference 97

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:d3cd770de50bbec1e1ecb1163cb0e30bc0ad33f1ed6b93d74b7ae201fba919c7

Observation 506c3704-b61a-4f48-942b-eaa11e39d299 · outbound

This paper cites 1928 , publisher=.

Diagnostic Tools for Extreme Value Regression Models 1928 , publisher=

Reference 98

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:8d38bbe3243a970958b795c20b0021a71f61d2c89bfb6839c00c6d811e3b12e3

Observation ae5aec82-0187-431b-aa5a-98e0456ab9a8 · outbound

This paper cites Scandinavian Actuarial Journal , volume=.

Diagnostic Tools for Extreme Value Regression Models Scandinavian Actuarial Journal , volume=

Reference 99

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:5e3b3cefd6c2dff7df23b4c95ad8a3859712283f41146ae6019c0594a8bc9a0e

Observation db529cf6-2278-466f-be53-4b344d63a704 · outbound

This paper cites Statistics and computing , volume=.

Diagnostic Tools for Extreme Value Regression Models Statistics and computing , volume=

Reference 100

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source=arxiv_source observed=2026-06-28T13:16:15.829149Z digest=sha256:10a2f9486a24b257ee8a9624599770276267d33769f6e4e20aff703a6697beed

Pith citing papers

No inbound Pith citation observations are available.