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Paper Citation Record · LEDGER

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes

As of 19 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2501.00149.

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

pith.paper-citation-record.v1
2501.00149 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:05:26.726978Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

53 of 53 outbound references displayed

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  • verified fuzzy40
  • unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6bdb13e4-fd46-4a8a-bf53-f993658d8084 · outbound

This paper cites Given a training dataset △j = {(x1, y1),.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Given a training dataset △j = {(x1, y1),

Reference 1

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Observation 25c6771c-fd93-4eae-9e65-1ccc317ddaf0 · outbound

This paper cites an unresolved cited work.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Unresolved cited work

Reference 2

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Observation e13da2f5-6dfc-471a-b2e3-8a4f6d848c10 · outbound

This paper cites , xEj − ¯xj i , (5) ˜Yj = h y1 − ¯yj,.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes , xEj − ¯xj i , (5) ˜Yj = h y1 − ¯yj,

Reference 3

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Observation 18694359-b27e-4cbe-a923-3f6318af4ff1 · outbound

This paper cites an unresolved cited work.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c770725b-d7a5-4562-b269-70633d0eff9b · outbound

This paper cites The selected value of k cov- ers 99% of the cumulative energy of the singular values, ensuring k <Rank(Σ).

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes The selected value of k cov- ers 99% of the cumulative energy of the singular values, ensuring k <Rank(Σ)

Reference 5

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a7c23d0f-5414-45e7-834d-13d1a7206904 · outbound

This paper cites From these predictions, TCs exceeding the dam- age threshold (e.g., > 3 meters) are ranked based on their destructiveness.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes From these predictions, TCs exceeding the dam- age threshold (e.g., > 3 meters) are ranked based on their destructiveness

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fb9b4c09-f7d4-466c-a3a9-40d00842d17b · outbound

This paper cites an unresolved cited work.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f81449cf-65dd-439a-9b13-d9c841a185c0 · outbound

This paper cites Xgboost: A scalable tree boosting system.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Xgboost: A scalable tree boosting system

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2db34ede-36ec-4e01-9499-54b7e13812ca · outbound

This paper cites Sequential design of experiments.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Sequential design of experiments

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bc98c0cc-71c1-4a70-ae30-b72dfc697d10 · outbound

This paper cites an unresolved cited work.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0d2eaf4c-e488-4a0c-9551-87c499379ef8 · outbound

This paper cites an unresolved cited work.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Unresolved cited work

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2ee415f8-c87a-4ea4-9b9b-0b99c04f1042 · outbound

This paper cites D¨ oscher, M.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes D¨ oscher, M

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fd1f6e6b-2ab0-45b1-8892-60818eb0a202 · outbound

This paper cites Tropical cyclone risk in bangladesh.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Tropical cyclone risk in bangladesh

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 31c6067f-ec9d-421b-a5a0-71000add74dc · outbound

This paper cites Environmental control of tropical cyclone intensity.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Environmental control of tropical cyclone intensity

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 89cc0f45-9056-4f22-9d14-28cfcd1d8131 · outbound

This paper cites A statistical deterministic approach to hur- ricane risk assessment.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes A statistical deterministic approach to hur- ricane risk assessment

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 2026-08-18T06:34:40.430872+00:00.

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Observation 9ceae835-bb12-44f9-9002-44dc96e320a4 · outbound

This paper cites Hurricanes and global warming: Results from downscaling ipcc ar4 simulations.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Hurricanes and global warming: Results from downscaling ipcc ar4 simulations

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ad388452-72e0-414f-a96d-150c19dfe099 · outbound

This paper cites The ensemble kalman filter: theoretical formulation and practical implementation.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes The ensemble kalman filter: theoretical formulation and practical implementation

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation daa9aa12-084a-45c2-8f39-6ae5d9ef74e7 · outbound

This paper cites an unresolved cited work.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Unresolved cited work

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation db41c674-62df-490e-bc4f-2e99f6e3b4ea · outbound

This paper cites The era5 global reanalysis.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes The era5 global reanalysis

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 54fb5a6f-a454-421a-9a59-b95f193ecefe · outbound

This paper cites an unresolved cited work.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Unresolved cited work

Reference 20

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ff2434a6-8e16-4592-853d-1db67c80466c · outbound

This paper cites Holland et al.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Holland et al

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 06e8bbd1-559d-4868-8822-4a34a891b670 · outbound

This paper cites Taflanidis, Norberto C.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Taflanidis, Norberto C

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 70e51441-b8c2-42a2-b6e1-4d61c407d741 · outbound

This paper cites Storm surge hazard over bengal delta: a probabilistic– deterministic modelling approach.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Storm surge hazard over bengal delta: a probabilistic– deterministic modelling approach

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation eb168bee-cca0-43cf-9c75-82f955296e38 · outbound

This paper cites Kyprioti, Christopher Irwin, Alexandros A.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Kyprioti, Christopher Irwin, Alexandros A

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e3a1188b-a32d-49fd-94ba-70009668252f · outbound

This paper cites Physically based assessment of hurri- cane surge threat under climate change.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Physically based assessment of hurri- cane surge threat under climate change

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1bf22d04-5a28-4a58-a3bd-39c441ae0c49 · outbound

This paper cites A machine learning-based parameterized tropical cyclone precipitation model.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes A machine learning-based parameterized tropical cyclone precipitation model

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 61c9af99-eb96-43ed-8d8c-cce58933d497 · outbound

This paper cites Adcirc: an advanced three- dimensional circulation model for shelves, coasts, and estuaries.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Adcirc: an advanced three- dimensional circulation model for shelves, coasts, and estuaries

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c1ebf85d-b252-4fc6-8d14-3b7ca1857d70 · outbound

This paper cites an unresolved cited work.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:05:27.054936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 77651715-f138-4324-b551-06628a28cab0 · outbound

This paper cites Learning Surrogate Rainfall-driven Inundation Models with Few Data.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Learning Surrogate Rainfall-driven Inundation Models with Few Data

Reference 29

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:05:26.639126Z digest=sha256:1e86465691e8867f084c1ed48e2c2485ecda0b413ffa76b1db6480bb85a04309

Observation da40b486-5f14-4cba-8f48-545fa0f503b5 · outbound

This paper cites Morss, Kerry A.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Morss, Kerry A

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:05:27.044304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:05:26.643119Z digest=sha256:e60b673e8879e94803508a864c5afbfafbaebdf093f1fa89eafba9670e71d09b

Observation 0bcfaffe-5744-430a-8f00-a12acebec5e1 · outbound

This paper cites A review of tropical cyclone-generated storm surges: Global data sources, observations, and impacts.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes A review of tropical cyclone-generated storm surges: Global data sources, observations, and impacts

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:05:27.033309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:05:26.646864Z digest=sha256:08b3eadfc3ffb9a763c5f79d649ab3737beb8dec89ed54774ca7cdd5474fac6e

Observation 4b3e74cc-55f4-4d98-bed1-99609309e9be · outbound

This paper cites Risks of coastal storm surge and the effect of sea level rise in the red river delta, vietnam.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Risks of coastal storm surge and the effect of sea level rise in the red river delta, vietnam

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:05:27.022544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:05:26.650965Z digest=sha256:0c76a2907062a79e40994bd954b46ffd2485f8bc156646c1b05036733841986c

Observation 7a4a04b4-316f-4ace-84d5-5257b33ce29d · outbound

This paper cites The scenario model intercomparison project (scenariomip) for cmip6.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes The scenario model intercomparison project (scenariomip) for cmip6

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:05:27.011615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:05:26.654347Z digest=sha256:de12fb3c6d73d536a3146e8a92498a8f72a4394c55fd7fbb0a04669391dc1c71

Observation 163c3554-1239-44c9-82f8-4d3427751695 · outbound

This paper cites A Framework for Flexible Peak Storm Surge Prediction.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes A Framework for Flexible Peak Storm Surge Prediction

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:05:26.811974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 58358d76-e697-4841-9f43-a013eda633b2 · outbound

This paper cites Global storm tide modeling with adcirc v55: unstructured mesh design and performance.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Global storm tide modeling with adcirc v55: unstructured mesh design and performance

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 49549c92-1b67-459e-ad59-e50478d8f3b5 · outbound

This paper cites Bangladesh's Amplified Coastal Storm Tide Hazard from Tropical Cyclones and Rising Sea Levels in a Warming Climate.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Bangladesh's Amplified Coastal Storm Tide Hazard from Tropical Cyclones and Rising Sea Levels in a Warming Climate

Reference 36

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f96cf524-b86d-4b3f-b6b9-928142685140 · outbound

This paper cites Rasmussen and C.K.I.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Rasmussen and C.K.I

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3d327edf-183b-4e40-863b-7e0b258e9c6d · outbound

This paper cites Ravela and Dennis B.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Ravela and Dennis B

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9d45333f-3142-472f-8115-15e38633dfbf · outbound

This paper cites Tractable Non-Gaussian Representations in Dynamic Data Driven Coherent Fluid Mapping , pages 29–46.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Tractable Non-Gaussian Representations in Dynamic Data Driven Coherent Fluid Mapping , pages 29–46

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b7da1b92-367f-4964-b0f6-41c45ba6deae · outbound

This paper cites Statistical- deterministic approach to natural disaster prediction, June 8 2010.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Statistical- deterministic approach to natural disaster prediction, June 8 2010

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8dca46bd-b025-4927-8d33-9f5e568ceecd · outbound

This paper cites A realtime observatory for labora- tory simulation of planetary flows.Experiments in Fluids, 48(5):915–925, May 2010.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes A realtime observatory for labora- tory simulation of planetary flows.Experiments in Fluids, 48(5):915–925, May 2010

Reference 41

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 021c3895-a443-47eb-9f05-7a23565d6d14 · outbound

This paper cites Oceanmesh2d 1.0: Matlab-based software for two-dimensional unstructured mesh generation in coastal ocean modeling.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Oceanmesh2d 1.0: Matlab-based software for two-dimensional unstructured mesh generation in coastal ocean modeling

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9229b17d-bfc2-43df-8b89-f32b72bbad33 · outbound

This paper cites On the automatic and a priori design of unstructured mesh resolution for coastal ocean circulation models.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes On the automatic and a priori design of unstructured mesh resolution for coastal ocean circulation models

Reference 43

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5a02e85e-aab5-4608-8596-bd9e8580553b · outbound

This paper cites Tidal varia- tions associated with sea level changes in the northern bay of bengal.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Tidal varia- tions associated with sea level changes in the northern bay of bengal

Reference 44

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 51bfaa6d-4dff-42e1-b7e2-681df5c1703e · outbound

This paper cites Statistical-physical ad- versarial learning from data and models for downscaling rainfall extremes.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Statistical-physical ad- versarial learning from data and models for downscaling rainfall extremes

Reference 45

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fc038c05-6a96-4c45-88e4-efc229ca13a6 · outbound

This paper cites A tutorial on gaussian process regression: Modelling, ex- ploring, and exploiting functions.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes A tutorial on gaussian process regression: Modelling, ex- ploring, and exploiting functions

Reference 46

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bfbe9e48-b84f-4210-bfb4-b7dd95953f56 · outbound

This paper cites Active learning literature survey.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Active learning literature survey

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d06af922-3485-42c6-a45b-0e8b49c03ddd · outbound

This paper cites Characteristics of tides in the bay of bengal.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Characteristics of tides in the bay of bengal

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:05:26.869653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4513ad53-8e31-4c35-b289-1c87c8eefa90 · outbound

This paper cites Informative Neural Ensemble Kalman Learning.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Informative Neural Ensemble Kalman Learning

Reference 49

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:05:26.711963Z digest=sha256:cff2fd02e250e8211e3cd8c989038287db9aa59f0fe1fc736a429999b6b8fcff

Observation 5c89eba7-0120-480f-829f-091fed66c05c · outbound

This paper cites Westerink, R.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Westerink, R

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:05:26.858073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:05:26.715912Z digest=sha256:f5cae53be1b0dbcbcb141cbd75a423b13a85d6bc68efacd9977b722d5da8bd14

Observation 390602a5-7582-4c3b-9fd0-42ee47a26169 · outbound

This paper cites Multirotor Ensemble Model Predictive Control I: Simulation Experiments.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Multirotor Ensemble Model Predictive Control I: Simulation Experiments

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:05:26.764168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:05:26.719274Z digest=sha256:dc02492cad79d065e74ad98739bbf5397732e686a52b5ee69e850adfee0c9c5f

Observation c5c04bfb-783a-408e-90d2-32f7fea5f669 · outbound

This paper cites Zahura, Jonathan L.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Zahura, Jonathan L

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:05:26.846546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:05:26.723085Z digest=sha256:495e1ae46f009e4c365016e5a29895aafb27f62aa38b30dc8854f090c6dd0a05

Observation 027f1c54-6747-40c6-96d3-b4730d8eb9d0 · outbound

This paper cites Taflanidis, Norberto C.

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes Taflanidis, Norberto C

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:05:26.835333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

No inbound Pith citation observations are available.