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Paper Citation Record · LEDGER

Risk Bounds For Distributional Regression

As of 16 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2505.09075.

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

pith.paper-citation-record.v1
2505.09075 v3

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:49:27.797201Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

72 of 72 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9893e698-3f8f-448a-8cd6-19f3bd773a24 · outbound

This paper cites Living on the edge: A geometric theory of phase transitions in convex optimization.

Risk Bounds For Distributional Regression Living on the edge: A geometric theory of phase transitions in convex optimization

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c26fd358-e44d-421a-b979-9da3256a8c18 · outbound

This paper cites The isotonic regression problem and its dual.Journal of the American Statistical Association, 67(337):140–147, 1972.

Risk Bounds For Distributional Regression The isotonic regression problem and its dual.Journal of the American Statistical Association, 67(337):140–147, 1972

Reference 2

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Source-reported events for the cited work

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Observation d1f75dfb-72e4-46b7-ac0a-cb2003bb9f55 · outbound

This paper cites Wiley, 1972.

Risk Bounds For Distributional Regression Wiley, 1972

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8c9ad82f-436c-46d5-958b-7edf3d7437bb · outbound

This paper cites On deep learning as a remedy for the curse of dimension- ality in nonparametric regression.

Risk Bounds For Distributional Regression On deep learning as a remedy for the curse of dimension- ality in nonparametric regression

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 651b1fc6-9848-4164-80b3-278b5fd21f82 · outbound

This paper cites Sharp oracle inequalities for least squares estimators in shape restricted regression.The Annals of Statistics, 46(2):745–780, 2018.

Risk Bounds For Distributional Regression Sharp oracle inequalities for least squares estimators in shape restricted regression.The Annals of Statistics, 46(2):745–780, 2018

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 67a5404c-5988-4475-b601-a92d64ba2cd0 · outbound

This paper cites Academic press, 1988.

Risk Bounds For Distributional Regression Academic press, 1988

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 67dcedc5-a3ac-4822-b35f-3e31e5505165 · outbound

This paper cites Random forests.Machine learning, 45:5–32, 2001.

Risk Bounds For Distributional Regression Random forests.Machine learning, 45:5–32, 2001

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9528412f-d0f8-42b1-bf90-21672a8aa504 · outbound

This paper cites e richard a olshen, 1984.

Risk Bounds For Distributional Regression e richard a olshen, 1984

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2b756e1e-d6f0-4d00-abb8-3e0ddfb5c778 · outbound

This paper cites University of Missouri-Columbia, 1969.

Risk Bounds For Distributional Regression University of Missouri-Columbia, 1969

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4006f527-eb2e-44b8-a058-43b877868d4e · outbound

This paper cites Distri- butional random forests: Heterogeneity adjustment and multivariate distributional regression.

Risk Bounds For Distributional Regression Distri- butional random forests: Heterogeneity adjustment and multivariate distributional regression

Reference 10

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Source-reported events for the cited work

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Observation 68c70001-476c-473a-822c-82215f06a461 · outbound

This paper cites New risk bounds for 2d total variation denoising.

Risk Bounds For Distributional Regression New risk bounds for 2d total variation denoising

Reference 11

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7604d476-77b4-4e3a-8292-fca6e56d84f8 · outbound

This paper cites On risk bounds in isotonic and other shape restricted regression problems.

Risk Bounds For Distributional Regression On risk bounds in isotonic and other shape restricted regression problems

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 03956d60-d9ef-4bb4-8f91-0be28d4fd189 · outbound

This paper cites A new perspective on least squares under convex constraint.

Risk Bounds For Distributional Regression A new perspective on least squares under convex constraint

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6d1cc475-bdca-499f-822e-22e8a61e2ad6 · outbound

This paper cites Matrix estimation by universal singular value thresholding.

Risk Bounds For Distributional Regression Matrix estimation by universal singular value thresholding

Reference 14

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Source-reported events for the cited work

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Observation 1b27bdc8-c3c4-4de7-9d5d-85a6fe334232 · outbound

This paper cites Inference on counterfactual distributions.Econometrica, 81(6):2205–2268, 2013.

Risk Bounds For Distributional Regression Inference on counterfactual distributions.Econometrica, 81(6):2205–2268, 2013

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5996213e-2bf2-416c-8a51-ed788750c367 · outbound

This paper cites Estimating a distribution function subject to a stochastic order restriction: a comparative study.Journal of Nonparametric Statistics, 24(4):923–933, 2012.

Risk Bounds For Distributional Regression Estimating a distribution function subject to a stochastic order restriction: a comparative study.Journal of Nonparametric Statistics, 24(4):923–933, 2012

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 76fb213f-4f0a-408f-9088-b69d60f2169e · outbound

This paper cites Bayesian density regression.Journal of the Royal Statistical Society Series B: Statistical Methodology, 69(2):163–183, 2007.

Risk Bounds For Distributional Regression Bayesian density regression.Journal of the Royal Statistical Society Series B: Statistical Methodology, 69(2):163–183, 2007

Reference 17

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Observation 5dc5066c-13fc-4061-81c8-be8c3f8bcadb · outbound

This paper cites Inferences under a stochastic ordering constraint: the k-sample case.Journal of the American Statistical Association, 100(469):252–261, 2005.

Risk Bounds For Distributional Regression Inferences under a stochastic ordering constraint: the k-sample case.Journal of the American Statistical Association, 100(469):252–261, 2005

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation abf77b51-0831-45a4-8288-378f0177ea44 · outbound

This paper cites Decomposition methods.

Risk Bounds For Distributional Regression Decomposition methods

Reference 19

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Source-reported events for the cited work

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Observation eda7a992-762f-4016-831a-ba0299140c2c · outbound

This paper cites The conditional distribution of excess returns: An empirical analysis.Journal of the American Statistical Association, 90(430):451–466, 1995.

Risk Bounds For Distributional Regression The conditional distribution of excess returns: An empirical analysis.Journal of the American Statistical Association, 90(430):451–466, 1995

Reference 20

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Source-reported events for the cited work

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Observation bb7b67d1-2b6f-4a80-a343-d27284b5967e · outbound

This paper cites Multivariate adaptive regression splines.The annals of statistics, 19(1): 1–67, 1991.

Risk Bounds For Distributional Regression Multivariate adaptive regression splines.The annals of statistics, 19(1): 1–67, 1991

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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This paper cites an unresolved cited work.

Risk Bounds For Distributional Regression Unresolved cited work

Reference 22

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Observation 9a701ab0-f27c-4864-81f8-538f6342528c · outbound

This paper cites Adaptive risk bounds in univariate total variation denoising and trend filtering.The Annals of Statistics, 48:205–229, 2020.

Risk Bounds For Distributional Regression Adaptive risk bounds in univariate total variation denoising and trend filtering.The Annals of Statistics, 48:205–229, 2020

Reference 23

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8b7698b4-af19-4d38-8a82-c1633b18439e · outbound

This paper cites Methods for estimating a conditional distribution function.Journal of the American Statistical association, 94(445):154–163, 1999.

Risk Bounds For Distributional Regression Methods for estimating a conditional distribution function.Journal of the American Statistical association, 94(445):154–163, 1999

Reference 24

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 12826a85-b3ae-47c9-bbbc-a976067ee91e · outbound

This paper cites Some properties of fractional integrals.

Risk Bounds For Distributional Regression Some properties of fractional integrals

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4379a3f1-2a50-45f4-82ff-8987c5a5709f · outbound

This paper cites Springer, New York, 2nd edition, 2009.

Risk Bounds For Distributional Regression Springer, New York, 2nd edition, 2009

Reference 26

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Source-reported events for the cited work

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Observation 048b3c05-9d2c-4440-9755-02e416690228 · outbound

This paper cites Consistent estimation of distribution functions under increasing concave and convex stochastic ordering.Journal of Business & Economic Statistics, 41(4):1203–1214, 2023.

Risk Bounds For Distributional Regression Consistent estimation of distribution functions under increasing concave and convex stochastic ordering.Journal of Business & Economic Statistics, 41(4):1203–1214, 2023

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1493e273-15dc-46fe-8f2d-d350064ce692 · outbound

This paper cites Isotonic distributional regression.

Risk Bounds For Distributional Regression Isotonic distributional regression

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.608726Z digest=sha256:3fe1cc3df7cc7e38fd5fd11c45a4480f91bd0fd6f6aaaf6c735804f965fffa11

Observation 29fae19e-2279-4f8c-b9a6-b40a7a529473 · outbound

This paper cites On models and hypotheses with restricted alternatives.Journal of the American Statistical Association, 60(312):1153–1162, 1965.

Risk Bounds For Distributional Regression On models and hypotheses with restricted alternatives.Journal of the American Statistical Association, 60(312):1153–1162, 1965

Reference 29

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raw_fallback, observed 2026-08-15T21:49:28.403650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1a006491-d180-4f96-928a-70a4b2c01bff · outbound

This paper cites Optimal rates for total variation denoising.

Risk Bounds For Distributional Regression Optimal rates for total variation denoising

Reference 30

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raw_fallback, observed 2026-08-15T21:49:28.389301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a04e732e-c13b-4a63-9680-b7547b77e287 · outbound

This paper cites Improving regression performance with distributional losses.

Risk Bounds For Distributional Regression Improving regression performance with distributional losses

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.621517Z digest=sha256:97b7a2fd449bfe57dddd6e6d368f45bef9fbc3222287d50d7099bec4d74f7647

Observation 32af2c7a-a690-4fc3-9105-312d971c5033 · outbound

This paper cites Estimation of distribution functions under second order stochastic dominance.Statistica Sinica, pages 903–926, 2003.

Risk Bounds For Distributional Regression Estimation of distribution functions under second order stochastic dominance.Statistica Sinica, pages 903–926, 2003

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:49:27.625540Z digest=sha256:bcecbee0a261ded239aa8890190ea7d43837037d21eac18100d412a1a2d4b834

Observation 10476c0a-2c85-4aaf-b6c5-3215a593c25f · outbound

This paper cites Distributional regression for data analysis.Annual Review of Statistics and Its Application, 11, 2024.

Risk Bounds For Distributional Regression Distributional regression for data analysis.Annual Review of Statistics and Its Application, 11, 2024

Reference 33

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raw_fallback, observed 2026-08-15T21:49:28.353535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.630033Z digest=sha256:c0503d0923178236149418da477de03e6b12b78b4304247e3b3e49eb47afe21a

Observation bb49aab1-4836-47fc-8b3c-ec80d0282552 · outbound

This paper cites Rage against the mean–a review of distributional regression approaches.Econometrics and Statistics, 26:99–123, 2023.

Risk Bounds For Distributional Regression Rage against the mean–a review of distributional regression approaches.Econometrics and Statistics, 26:99–123, 2023

Reference 34

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raw_fallback, observed 2026-08-15T21:49:28.339847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.634156Z digest=sha256:4372ad7b28c988f9c56134e7cbd9b7ae9f8fcdbfcf4d7add4eb836bef754d252

Observation 406878c5-18f9-41db-8538-2089f9af3d25 · outbound

This paper cites Regression quantiles.Econometrica: journal of the Econometric Society, pages 33–50, 1978.

Risk Bounds For Distributional Regression Regression quantiles.Econometrica: journal of the Econometric Society, pages 33–50, 1978

Reference 35

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no resolver link, observed 2026-08-15T21:49:27.638027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:49:27.638027Z digest=sha256:965820616885db0f2c0e86de6411771cc37fbc365252b801ad5133046c5167cb

Observation 50484e05-4b04-4adb-96a2-df09479881c3 · outbound

This paper cites Distributional vs.

Risk Bounds For Distributional Regression Distributional vs

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.318243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.642103Z digest=sha256:dff2f02b0f0c24a7f9d70cf64b189c34f6ff48ac716d6142ac57ba1a99012882

Observation b4c1c22c-e61d-4b65-a6ac-b86765602234 · outbound

This paper cites On the rate of convergence of fully connected deep neural network regression estimates.The Annals of Statistics, 49(4):2231–2249, 2021.

Risk Bounds For Distributional Regression On the rate of convergence of fully connected deep neural network regression estimates.The Annals of Statistics, 49(4):2231–2249, 2021

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T21:49:27.646268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:49:27.646268Z digest=sha256:2dad9a1ec66e11219eb99b341eb3e5c6b1541cb262f39ecee8afe211145a3ad6

Observation fa5c1968-dd50-4674-a7a3-db32e6c4a793 · outbound

This paper cites A sharp error analysis for the fused lasso, with application to approximate changepoint screening.Advances in neural information processing systems, 30, 2017.

Risk Bounds For Distributional Regression A sharp error analysis for the fused lasso, with application to approximate changepoint screening.Advances in neural information processing systems, 30, 2017

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.294646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.650603Z digest=sha256:4ba33272e58952929b55050e5068c030e96ac3cbaa3920924dd98b53f9e30989

Observation dc2c4e3d-ca91-45d4-b19e-4ec2a3281f3e · outbound

This paper cites An inequality for rearrangements.The American Mathematical Monthly, 60(3):176–179, 1953.

Risk Bounds For Distributional Regression An inequality for rearrangements.The American Mathematical Monthly, 60(3):176–179, 1953

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.279060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.654727Z digest=sha256:cdac88ef26a50536101d4d46d781138fedd06b8301933d850a7918b6f75b88b3

Observation 3aeffd79-720a-4c0b-936b-9086d9334bff · outbound

This paper cites Theoretical analysis of deep neural networks for temporally dependent observations.Advances in Neural Information Processing Systems, 35: 37324–37334, 2022.

Risk Bounds For Distributional Regression Theoretical analysis of deep neural networks for temporally dependent observations.Advances in Neural Information Processing Systems, 35: 37324–37334, 2022

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.265953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.658951Z digest=sha256:1bb8cb056e0e39eeeabf9e34365479253d8d4ca3034b999389b23d3d05f175ff

Observation d363b3e1-d39a-430c-9da5-2837180a1c81 · outbound

This paper cites Risk bounds for quantile trend filtering.

Risk Bounds For Distributional Regression Risk bounds for quantile trend filtering

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.252272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.663244Z digest=sha256:2e6dedb3e4a555d245dbf02e2dd0414c060b599d5334c02a8f72a9b64c8bfb38

Observation 4d2d111a-9458-426a-b6cc-809b923e0f79 · outbound

This paper cites Locally adaptive regression splines.The Annals of Statistics, 25(1):387–413, 1997.

Risk Bounds For Distributional Regression Locally adaptive regression splines.The Annals of Statistics, 25(1):387–413, 1997

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.239457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.667429Z digest=sha256:c1d461e37d5df38f094005cf64f7f23e4ea8e6e7009512a3cac58c3628df9795

Observation 2004caa2-2e1a-4fa1-ae14-ed25d8516745 · outbound

This paper cites Scoring rules for continuous probability distributions.

Risk Bounds For Distributional Regression Scoring rules for continuous probability distributions

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T21:49:27.671434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:49:27.671434Z digest=sha256:2cf0eb381cb824e1de6f1c84c3341a276eb222ba1fad85c14fd0d58483607fef

Observation 5c91a1e3-e998-491c-8b80-739de16f461c · outbound

This paper cites Monotone least squares and isotonic quantiles.

Risk Bounds For Distributional Regression Monotone least squares and isotonic quantiles

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.217708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.676108Z digest=sha256:86a27d18a201cb28a54c5aa9fa5a30103b5eb0ed7ac08fb37dec133a9762bb84

Observation 4bf79e1e-219d-4346-a050-ceebde273a9b · outbound

This paper cites Sparse spatial autoregressions.Statistics & Probability Letters, 33(3):291–297, 1997.

Risk Bounds For Distributional Regression Sparse spatial autoregressions.Statistics & Probability Letters, 33(3):291–297, 1997

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T21:49:27.680584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:49:27.680584Z digest=sha256:88646582ae084cb37c795abd4de674d557ad3614bb0a54fbf6e82cb3a3cb923d

Observation f95cf033-8bbe-4c9e-9e10-bfe62e5940a2 · outbound

This paper cites Spatio-temporal model via Locally Adaptive Regression Splines.

Risk Bounds For Distributional Regression Spatio-temporal model via Locally Adaptive Regression Splines

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T21:49:27.684565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:49:27.684565Z digest=sha256:69be45ae12c2a559a71a329b5fa1db086f22b38c65ffdcce28398a2b3e9d0aa3

Observation 9e778bb7-82f7-4398-a53a-299992bd2323 · outbound

This paper cites Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks.

Risk Bounds For Distributional Regression Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T21:49:27.689187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:49:27.689187Z digest=sha256:aef10dd9eba24ca8ebbcf752536643ea1f6866bde63300eba4670ab6edfbc988

Observation c6001846-17d1-4440-8b9f-5b11f18ff1f7 · outbound

This paper cites The dfs fused lasso: Linear-time denoising over general graphs.Journal of Machine Learning Research, 18(176):1–36, 2018.

Risk Bounds For Distributional Regression The dfs fused lasso: Linear-time denoising over general graphs.Journal of Machine Learning Research, 18(176):1–36, 2018

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.193944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.693418Z digest=sha256:834f75fe1e67f999ab52ea18dc459ba8bf2ebb6db309f471556484222161e47d

Observation f148b7a1-7411-4525-9c33-03777a580b34 · outbound

This paper cites Quantile regression with relu networks: Estimators and minimax rates.Journal of Machine Learning Research, 23(247): 1–42, 2022.

Risk Bounds For Distributional Regression Quantile regression with relu networks: Estimators and minimax rates.Journal of Machine Learning Research, 23(247): 1–42, 2022

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.178680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.697319Z digest=sha256:dcac542a4abb43d1bf4f86ad6fdff96663c5351de801e9e0dd3f1184c0135c07

Observation 0a3cced8-a1eb-4001-94d1-81bf69270cd9 · outbound

This paper cites On estimating conditional quantiles and distribution functions.Computational statistics & data analysis, 38(4):433–447, 2002.

Risk Bounds For Distributional Regression On estimating conditional quantiles and distribution functions.Computational statistics & data analysis, 38(4):433–447, 2002

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.164130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.701416Z digest=sha256:6e631df81fe00a808826feafd89acc4a568ef549249fc0c76582affa050afcb3

Observation e646ecae-45ff-4d74-b302-a7de110e0736 · outbound

This paper cites Order restricted statistical inference/[et al.].

Risk Bounds For Distributional Regression Order restricted statistical inference/[et al.]

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.149170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.705311Z digest=sha256:becb2a7f791a4a7e51c6a940f26643cdaf1416ffe48606b2e94446327e0a746a

Observation 2c99dc6b-c29a-4956-b685-e284e63c5f67 · outbound

This paper cites Partial distributional policy effects.Econometrica, 80(5):2269–2301, 2012.

Risk Bounds For Distributional Regression Partial distributional policy effects.Econometrica, 80(5):2269–2301, 2012

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.133416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.709327Z digest=sha256:3efc3214d1438ca07ad1f3f5a603db78c807711fc12ef90953a828f93c6a3b3c

Observation effced36-00fd-4e5e-9dea-7f38f5d2b6e9 · outbound

This paper cites Misspecification testing in a class of conditional distribu- tional models.Journal of the American Statistical Association, 108(501):314–324, 2013.

Risk Bounds For Distributional Regression Misspecification testing in a class of conditional distribu- tional models.Journal of the American Statistical Association, 108(501):314–324, 2013

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.119253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.713577Z digest=sha256:8896e3cdae5a96bd386a3bc4159e88f9d5edd93157d39745cdcc1a55f1842d87

Observation 2d60eda4-61bb-4974-a575-3675e520ad0c · outbound

This paper cites Nonlinear total variation based noise removal algorithms.Physica D: nonlinear phenomena, 60(1-4):259–268, 1992.

Risk Bounds For Distributional Regression Nonlinear total variation based noise removal algorithms.Physica D: nonlinear phenomena, 60(1-4):259–268, 1992

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T21:49:27.717818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:49:27.717818Z digest=sha256:7016129c1adb945d860cc8a86db2edaab6e36c596033315ec74d1f1105d7509a

Observation 9478ef45-5604-4c26-b07d-6ca557a6feaf · outbound

This paper cites Distributional regression forests for probabilistic precipitation forecasting in complex terrain.

Risk Bounds For Distributional Regression Distributional regression forests for probabilistic precipitation forecasting in complex terrain

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.095059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.721915Z digest=sha256:f2c0e422e72a63fbdfb469e6396a8b746cac6253a93d5fde0ac0455504b77e9c

Observation b86a614d-58d4-42e8-96f7-b206fc679cba · outbound

This paper cites Nonparametric regression using deep neural networks with relu activation function.

Risk Bounds For Distributional Regression Nonparametric regression using deep neural networks with relu activation function

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T21:49:27.725882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:49:27.725882Z digest=sha256:c38a1801b534c6596de84cb62a6cf7a940f54747e1f1dd64aa46b0385f5361de

Observation 5bf11432-ec85-410c-9a26-9a17b1a83be4 · outbound

This paper cites Springer, 2007.

Risk Bounds For Distributional Regression Springer, 2007

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T21:49:27.729901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:49:27.729901Z digest=sha256:bccec83c21189e1c4107ba8906ecb4a0d008732dd4ab71446a0cdc4f463aa6de

Observation e96c02f4-5243-4008-b802-4f647334c322 · outbound

This paper cites Engression: extrapolation through the lens of distribu- tional regression.Journal of the Royal Statistical Society Series B: Statistical Methodology, page qkae108, 2024.

Risk Bounds For Distributional Regression Engression: extrapolation through the lens of distribu- tional regression.Journal of the Royal Statistical Society Series B: Statistical Methodology, page qkae108, 2024

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.062500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.734020Z digest=sha256:752bef9bab8c7f76b1b96a5c33c7a0720ca8f05b54a20c02c8c4316a17882082

Observation c91c2e7f-dbe0-426b-aeb0-d6513e7bdba4 · outbound

This paper cites Springer Science & Business Media, 2005.

Risk Bounds For Distributional Regression Springer Science & Business Media, 2005

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.048269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.738341Z digest=sha256:e8f2819d63f4826d32050460065c4c43ed7ee2e63cf3159e388d7b40b8e3a5f5

Observation d457e9b3-cc47-42a8-893e-ec3f03c65683 · outbound

This paper cites Maximum-variance total variation denoising for interpretable spatial smoothing.

Risk Bounds For Distributional Regression Maximum-variance total variation denoising for interpretable spatial smoothing

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.034393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.742331Z digest=sha256:3dc50f80cdfdd98c3192860507ba659f32d7e3ac4ff9cab930d74b3c4a7a39fb

Observation ad8f0c89-32f5-4b50-b507-624fb0c9c636 · outbound

This paper cites Sparsity and smoothness via the fused lasso.Journal of the Royal Statistical Society: Series B (Statistical Methodology), 67(1):91–108, 2005.

Risk Bounds For Distributional Regression Sparsity and smoothness via the fused lasso.Journal of the Royal Statistical Society: Series B (Statistical Methodology), 67(1):91–108, 2005

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.021315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.746397Z digest=sha256:060900ad02a835591ee204e98e3d116afb92c1460812154207f037f1f282dbf1

Observation 82f8c697-387c-4a19-bdfd-eaa65a54fe7a · outbound

This paper cites Adaptive piecewise polynomial estimation via trend filtering.

Risk Bounds For Distributional Regression Adaptive piecewise polynomial estimation via trend filtering

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:28.008239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.750270Z digest=sha256:77bf5b8e9be356c6b658109f92cd53061561b1336b4e8822042c6e74d8d5f45b

Observation 051c2451-dd6c-439a-bf9e-4055296a6330 · outbound

This paper cites A primer on bayesian distributional regression.Statistical Modelling, 18(3-4):219–247, 2018.

Risk Bounds For Distributional Regression A primer on bayesian distributional regression.Statistical Modelling, 18(3-4):219–247, 2018

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:27.994155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.754471Z digest=sha256:7424a72ec32d9d88add6cbfcc60518510372117d91a4173d2e98c92b2a64e15b

Observation dd1076d3-4915-4764-8dec-51d126f1ad8d · outbound

This paper cites Cambridge university press, 2019.

Risk Bounds For Distributional Regression Cambridge university press, 2019

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:27.980745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.758260Z digest=sha256:043e7d16c01066d55fe41b218ff7cb55620c743a0ce4d22a532a31c536198ce5

Observation f6220f92-649b-471a-89ea-3eb5a4d4c439 · outbound

This paper cites Trend filtering on graphs.Journal of Machine Learning Research, 17(105):1–41, 2016.

Risk Bounds For Distributional Regression Trend filtering on graphs.Journal of Machine Learning Research, 17(105):1–41, 2016

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:27.967251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.762211Z digest=sha256:ae08de2fc7d23f3e8b037412944eb53988326556451bbcc1e83528a74951d57e

Observation 5fa8a8d5-a4a0-4f1c-b6fa-c4955c3b4026 · outbound

This paper cites Non-parametric quantile regression via the k-nn fused lasso.Journal of Machine Learning Research, 22(111):1–38, 2021.

Risk Bounds For Distributional Regression Non-parametric quantile regression via the k-nn fused lasso.Journal of Machine Learning Research, 22(111):1–38, 2021

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:27.952675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.766228Z digest=sha256:5a5167e753b760f682160b433c89338de1765d745f2eb60ca6a564056ba3cbb5

Observation 3c455370-6ef6-4ea8-93fc-15715373e607 · outbound

This paper cites Dense ReLU Neural Networks for Temporal-spatial Model.

Risk Bounds For Distributional Regression Dense ReLU Neural Networks for Temporal-spatial Model

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-15T21:49:27.770220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:49:27.770220Z digest=sha256:f252dd30dfaa3a705ce67376eabd7ca86bb1e96751765b4b3aea0a58821fd195

Observation b0bc2d7f-05c0-40df-8e4c-be17765543c2 · outbound

This paper cites 16 C Dense ReLU Networks: assumption and definitions In this appendix, we provide additional details for Section 3.3.2.

Risk Bounds For Distributional Regression 16 C Dense ReLU Networks: assumption and definitions In this appendix, we provide additional details for Section 3.3.2

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:27.938241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.775743Z digest=sha256:94a0fb9bb1204482538c66d039500937ff57b39b6bb071e018472641db267b53

Observation 2401df64-6305-4ae3-888e-dc5e93b982fc · outbound

This paper cites sup θ∈Kt :∥θ−F∗(t)∥≤η g⊤(θ−F ∗(t)) # =E.

Risk Bounds For Distributional Regression sup θ∈Kt :∥θ−F∗(t)∥≤η g⊤(θ−F ∗(t)) # =E

Reference 70

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T21:49:27.909318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.786065Z digest=sha256:17134a36c14ecf373f9027b4a1122b1547cee25b57fce11bfaf59e0f04fe5fea

Observation 0c7dba2f-53e4-49f8-be1d-2df8cc7dd87b · outbound

This paper cites Hardy and J.E.

Risk Bounds For Distributional Regression Hardy and J.E

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:27.895029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.792177Z digest=sha256:029a2fa410cdafbc3fc263dcd359783bb1d3f9a7fbee8a13aeca81c873fd0cee

Observation f986aad9-96c9-4568-a04f-7e7879cc413b · outbound

This paper cites Thenf(t) =D(f)(t)for allt∈[0,∞).

Risk Bounds For Distributional Regression Thenf(t) =D(f)(t)for allt∈[0,∞)

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:49:27.879721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.797201Z digest=sha256:a01dabd170c37c2c506fb1d242a245ac5fa4beb25117adb5316142e197b7b1fa

Observation 03794796-76e1-445a-973e-e0723a1c6403 · outbound

This paper cites an unresolved cited work.

Risk Bounds For Distributional Regression Unresolved cited work

Reference 2015

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:49:27.923007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:49:27.780234Z digest=sha256:20a3a45145afa036d78b6d55fd3010caf489e82f3d749584084fb1efca8dd8e1

Pith citing papers

No inbound Pith citation observations are available.