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Paper Citation Record · LEDGER

Spectrally Deconfounded Gradient Boosting

As of 20 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2607.09371.

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

pith.paper-citation-record.v1
2607.09371 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T03:32:25.166827Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:38:20.401415Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-08T18:38:21.686059Z

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation 80c06042-6c25-455f-904c-1318fd4d2a17 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Spectrally Deconfounded Gradient Boosting Journal of Machine Learning Research , volume=

Reference 1

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Observation e4eaa556-b500-405f-9ebb-5ce9e58bb8d6 · outbound

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

Spectrally Deconfounded Gradient Boosting Journal of Computational and Graphical Statistics , volume =

Reference 2

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Observation 13615da6-c65e-4075-a559-884caccaea4f · outbound

This paper cites The Annals of Statistics , year =.

Spectrally Deconfounded Gradient Boosting The Annals of Statistics , year =

Reference 3

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Observation 09a7666f-bf37-4855-aa47-a2dd37f1a40f · outbound

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

Spectrally Deconfounded Gradient Boosting Journal of the American Statistical Association , volume=

Reference 4

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Observation de4e037f-9d66-49eb-8087-44d8a8d253d3 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Spectrally Deconfounded Gradient Boosting Journal of Machine Learning Research , volume=

Reference 5

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source=arxiv_source observed=2026-07-13T03:32:25.166827Z digest=sha256:41484582796b914024b77ad02ed66940c68726c8702438e51162b8feb188e956

Observation 2b5b941e-fa7b-4336-a7d3-a591c72557f6 · outbound

This paper cites Econometrica , volume=.

Spectrally Deconfounded Gradient Boosting Econometrica , volume=

Reference 6

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Observation 064186cd-0ffb-4a25-858e-ba0b2f867521 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Spectrally Deconfounded Gradient Boosting Journal of Machine Learning Research , volume=

Reference 7

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Observation 59dc0ff7-7385-4388-a3f6-f50c311189e1 · outbound

This paper cites 2019 , eprint=.

Spectrally Deconfounded Gradient Boosting 2019 , eprint=

Reference 8

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Observation 58e9f4ca-026a-449d-b587-52e6945b2707 · outbound

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

Spectrally Deconfounded Gradient Boosting The Annals of Mathematical Statistics , volume=

Reference 9

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Observation 3286c755-de5b-4284-ab34-d7993cf6ef1c · outbound

This paper cites 1996 , organization=.

Spectrally Deconfounded Gradient Boosting 1996 , organization=

Reference 10

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Observation 7048b3fb-576a-405e-929e-d563b6f46b8a · outbound

This paper cites Spectral Deconfounding for High-Dimensional Sparse Additive Models , year =.

Spectrally Deconfounded Gradient Boosting Spectral Deconfounding for High-Dimensional Sparse Additive Models , year =

Reference 11

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Observation 973cb721-3785-4fff-b2a8-189a4edf7972 · outbound

This paper cites Nature Genetics , volume=.

Spectrally Deconfounded Gradient Boosting Nature Genetics , volume=

Reference 12

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Observation 7f3fa474-1648-416a-a38f-ce92a299df32 · outbound

This paper cites PLoS Genetics , volume=.

Spectrally Deconfounded Gradient Boosting PLoS Genetics , volume=

Reference 13

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Observation 9f1d2775-5de0-4da5-97cf-34805daf50a0 · outbound

This paper cites Latent confounding in high-dimensional nonlinear models.

Spectrally Deconfounded Gradient Boosting Latent confounding in high-dimensional nonlinear models

Reference 14

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Observation 5b8251d1-d12e-4bff-929e-472d05a9e7cd · outbound

This paper cites Nature Genetics , volume=.

Spectrally Deconfounded Gradient Boosting Nature Genetics , volume=

Reference 15

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Observation ecb8b5df-eea8-40b8-b462-7b249a1c9d5e · outbound

This paper cites Invariance, Causality and Robustness: 2018.

Spectrally Deconfounded Gradient Boosting Invariance, Causality and Robustness: 2018

Reference 16

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Observation 570cca2e-09f9-486d-8bb2-baf6950237f0 · outbound

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

Spectrally Deconfounded Gradient Boosting Journal of the American Statistical Association , volume=

Reference 17

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Observation 6db8c978-1fd2-4199-86b5-0c0065b52422 · outbound

This paper cites PloS one , volume=.

Spectrally Deconfounded Gradient Boosting PloS one , volume=

Reference 18

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Observation 1ea65760-1f2e-402f-a95b-a29c66f0cd9b · outbound

This paper cites Version 0.11 , volume=.

Spectrally Deconfounded Gradient Boosting Version 0.11 , volume=

Reference 19

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Observation 0e89e356-1144-4ba9-a573-92468ece7b8c · outbound

This paper cites Journal of Machine Learning Research , volume=.

Spectrally Deconfounded Gradient Boosting Journal of Machine Learning Research , volume=

Reference 20

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Observation 5c49964e-123b-4483-8165-5fac60bca04b · outbound

This paper cites Nature , volume=.

Spectrally Deconfounded Gradient Boosting Nature , volume=

Reference 21

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Observation 5368378c-27ed-4ed4-9c3a-b947fcc7a887 · outbound

This paper cites The Journal of Economic Education , volume=.

Spectrally Deconfounded Gradient Boosting The Journal of Economic Education , volume=

Reference 22

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Observation a2380ab7-5f2b-4249-bc95-0f9986671c9d · outbound

This paper cites SIAM Review , volume =.

Spectrally Deconfounded Gradient Boosting SIAM Review , volume =

Reference 23

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This paper cites an unresolved cited work.

Spectrally Deconfounded Gradient Boosting Unresolved cited work

Reference 24

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Observation 23b80158-3cbd-4592-9688-7cf1a449068c · outbound

This paper cites Large sample analysis of the median heuristic , journal =.

Spectrally Deconfounded Gradient Boosting Large sample analysis of the median heuristic , journal =

Reference 25

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Observation 5c7d3649-35c8-466f-bfa7-442326d39c5c · outbound

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Spectrally Deconfounded Gradient Boosting 2021 , url =

Reference 26

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Observation 3763c1a9-29c0-452d-b2ae-b5c4bba25900 · outbound

This paper cites Journal of Agricultural, Biological and Environmental Statistics , publisher=.

Spectrally Deconfounded Gradient Boosting Journal of Agricultural, Biological and Environmental Statistics , publisher=

Reference 27

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Observation bd4bc905-bbfd-46b0-8aa5-8fc837eebd7d · outbound

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Spectrally Deconfounded Gradient Boosting 2005 , author =

Reference 28

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Observation 705f51ed-5d26-4bfc-a333-83e8db90868e · outbound

This paper cites Boosting with the.

Spectrally Deconfounded Gradient Boosting Boosting with the

Reference 29

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Observation e28f6e82-4d1a-487c-917a-aff39487b6b1 · outbound

This paper cites Biometrika , volume=.

Spectrally Deconfounded Gradient Boosting Biometrika , volume=

Reference 30

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Spectrally Deconfounded Gradient Boosting University of California, Irvine , volume=

Reference 31

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Observation c8315032-d611-4cea-a700-9ae7167a5208 · outbound

This paper cites Annals of Statistics , volume=.

Spectrally Deconfounded Gradient Boosting Annals of Statistics , volume=

Reference 32

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Observation 908e3353-a9a6-44d7-81fe-321aa5e8a8fa · outbound

This paper cites Neural Information Processing Systems Datasets and Benchmarks Track , year=.

Spectrally Deconfounded Gradient Boosting Neural Information Processing Systems Datasets and Benchmarks Track , year=

Reference 33

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Observation e221f74b-5074-4edb-b2d2-e6af988ea8d2 · outbound

This paper cites Laplace Approximations for Mixed-Effects and Gaussian Process Quantile Regression.

Spectrally Deconfounded Gradient Boosting Laplace Approximations for Mixed-Effects and Gaussian Process Quantile Regression

Reference 34

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Observation 8aa803b0-20ff-4487-9329-e48f6481c8c5 · outbound

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Spectrally Deconfounded Gradient Boosting 2024 , url =

Reference 35

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Observation 675b8301-366f-4219-9586-d18946991344 · outbound

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Spectrally Deconfounded Gradient Boosting 1998 , organization =

Reference 36

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Observation 63ffba4a-e417-4838-91f4-b0477b5b5d05 · outbound

This paper cites Forward stagewise regression and the monotone lasso , volume=.

Spectrally Deconfounded Gradient Boosting Forward stagewise regression and the monotone lasso , volume=

Reference 37

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Observation e512e8ae-c5ad-4e36-804e-05c941b39d6d · outbound

This paper cites Least angle regression , volume=.

Spectrally Deconfounded Gradient Boosting Least angle regression , volume=

Reference 38

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Observation f2cecda3-0ec8-4996-8af5-91623d30d04c · outbound

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Spectrally Deconfounded Gradient Boosting Latent Gaussian Model Boosting , year=

Reference 39

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Observation 48649904-e2df-4f92-a8dc-b96f0369459a · outbound

This paper cites Annals of Statistics , pages=.

Spectrally Deconfounded Gradient Boosting Annals of Statistics , pages=

Reference 40

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Observation 4c7e3c48-480b-42b7-93d8-76b6d5798fdf · outbound

This paper cites The Annals of Statistics , volume=.

Spectrally Deconfounded Gradient Boosting The Annals of Statistics , volume=

Reference 41

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no resolver link, observed 2026-07-13T03:32:25.166827Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-13T03:32:25.166827Z digest=sha256:e6cbf9469f1901a97725967b21f102f0391feab3871c23054d372d69f13f8fe4

Observation 4d38dafb-2eb8-46ea-916b-3169e9ae9bd2 · outbound

This paper cites The Annals of Statistics , pages=.

Spectrally Deconfounded Gradient Boosting The Annals of Statistics , pages=

Reference 42

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no resolver link, observed 2026-07-13T03:32:25.166827Z

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source=arxiv_source observed=2026-07-13T03:32:25.166827Z digest=sha256:f608894e5c0865e6c7ec128a038646a75dec6fe58428a37a8159d4ffcbec8b08

Observation a671e9a9-37de-48ea-815b-a583537af951 · outbound

This paper cites Journal of Econometrics , volume=.

Spectrally Deconfounded Gradient Boosting Journal of Econometrics , volume=

Reference 43

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unresolved
no resolver link, observed 2026-07-13T03:32:25.166827Z

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source=arxiv_source observed=2026-07-13T03:32:25.166827Z digest=sha256:1fcf80b009c51ee983b6cc8d4bf9e141188f74b416bb41e7ab09376fc68d72b8

Observation b4d083aa-ec23-4f48-909c-03ae04952b62 · outbound

This paper cites The Annals of Statistics , number =.

Spectrally Deconfounded Gradient Boosting The Annals of Statistics , number =

Reference 44

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unresolved
no resolver link, observed 2026-07-13T03:32:25.166827Z

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source=arxiv_source observed=2026-07-13T03:32:25.166827Z digest=sha256:6a7161902d1d53ecbea5885ca9ac66208b4e4f6543b2faa7a158a7e7763931f6

Pith citing papers

Observation a8b59b3a-4f1c-438a-842f-84ad2908bf58 · inbound

QuantumDNA: A Python Package for Analyzing Quantum Charge Dynamics in DNA and Exploring Its Biological Relevance cites this paper.

QuantumDNA: A Python Package for Analyzing Quantum Charge Dynamics in DNA and Exploring Its Biological Relevance Spectrally Deconfounded Gradient Boosting

Reference 8

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malformed identifier
local_arxiv, observed 2026-08-08T18:38:21.697158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:38:20.401415Z digest=sha256:e06a8c8e4b7f1d62cd32035bbe6157567352025a5c982fd55427eeff05cd86d7