Paper Citation Record · LEDGER

Approximate full-conformal multi-task regression with reproducing kernels

As of 15 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.00645.

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pith.paper-citation-record.v1
2607.00645 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T09:22:29.382951Z

measured 35 of 35 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.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

35 of 35 outbound references displayed

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Outbound references

Observation a3b55cfa-400e-424a-9b69-69cc760d78e5 · outbound

This paper cites URL https://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.laplacian\_kernel.html.

Approximate full-conformal multi-task regression with reproducing kernels URL https://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.laplacian\_kernel.html

Reference 1

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Observation fdaeedff-3362-4cd9-a26e-ab8e02161ca0 · outbound

This paper cites URL https://docs.scipy.org/doc/scipy/reference/optimize.minimize-newtoncg.html.

Approximate full-conformal multi-task regression with reproducing kernels URL https://docs.scipy.org/doc/scipy/reference/optimize.minimize-newtoncg.html

Reference 2

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Observation ac5dca5b-978b-4f51-b661-b74ab13d95e8 · outbound

This paper cites Optimization in infinite-dimensional Hilbert spaces.

Approximate full-conformal multi-task regression with reproducing kernels Optimization in infinite-dimensional Hilbert spaces

Reference 3

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Observation 04f80ad8-a7a8-4042-9494-3c96bf02484c · outbound

This paper cites \'A lvarez, Lorenzo Rosasco, and Neil D.

Approximate full-conformal multi-task regression with reproducing kernels \'A lvarez, Lorenzo Rosasco, and Neil D

Reference 4

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Observation eac1edb3-49f2-4ee8-92be-6875ad750396 · outbound

This paper cites Theory of reproducing kernels.

Approximate full-conformal multi-task regression with reproducing kernels Theory of reproducing kernels

Reference 5

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Observation 580ccc7e-67ef-4d93-bce5-7918f71c86d6 · outbound

This paper cites Stability of multi-task kernel regression algorithms.

Approximate full-conformal multi-task regression with reproducing kernels Stability of multi-task kernel regression algorithms

Reference 6

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Observation 0493cd7e-c98c-4af2-a03f-0115ed6485f5 · outbound

This paper cites Learning Theory from First Principles.

Approximate full-conformal multi-task regression with reproducing kernels Learning Theory from First Principles

Reference 7

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Observation 078f2dc8-95d8-441e-b400-ed17a428f826 · outbound

This paper cites Bartlett, Philip M.

Approximate full-conformal multi-task regression with reproducing kernels Bartlett, Philip M

Reference 8

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Observation 878f0ee0-5647-4def-9805-0ba089304d8a · outbound

This paper cites Stability and generalization.

Approximate full-conformal multi-task regression with reproducing kernels Stability and generalization

Reference 9

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Observation 38e7ae21-4e73-47c8-ae21-0c4b71c4c5d2 · outbound

This paper cites Jordan, and Francis Bach.

Approximate full-conformal multi-task regression with reproducing kernels Jordan, and Francis Bach

Reference 10

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Observation a0c6e1a9-04c3-4f91-b2dc-7a7d0026d3f0 · outbound

This paper cites Jordan, and Francis Bach.

Approximate full-conformal multi-task regression with reproducing kernels Jordan, and Francis Bach

Reference 11

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Observation 06d00c92-4be1-4b6f-a519-d4e0bf97f9b2 · outbound

This paper cites Micchelli, Massimiliano Pontil, and Yiming Ying.

Approximate full-conformal multi-task regression with reproducing kernels Micchelli, Massimiliano Pontil, and Yiming Ying

Reference 12

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Observation d6512f55-b4ff-4689-9392-363a972eca54 · outbound

This paper cites Two deterministic half-quadratic regularization algorithms for computed imaging.

Approximate full-conformal multi-task regression with reproducing kernels Two deterministic half-quadratic regularization algorithms for computed imaging

Reference 13

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Observation 1bb3e7a0-9a44-44e7-a9a8-6c6e268a4e45 · outbound

This paper cites A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression , February 2025.

Approximate full-conformal multi-task regression with reproducing kernels A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression , February 2025

Reference 14

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Observation 8844fa22-e8bb-46f8-8570-d799da681a90 · outbound

This paper cites Micchelli, Massimiliano Pontil, and John Shawe-Taylor.

Approximate full-conformal multi-task regression with reproducing kernels Micchelli, Massimiliano Pontil, and John Shawe-Taylor

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T09:22:29.382951Z

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Observation 2a2f4122-1b91-40aa-8c8a-90f0d2a417a5 · outbound

This paper cites Exact and Approximate Conformal Inference for Multi-Output Regression , June 2024.

Approximate full-conformal multi-task regression with reproducing kernels Exact and Approximate Conformal Inference for Multi-Output Regression , June 2024

Reference 16

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Observation a5de3b19-a711-4d78-ab21-b0e549548de6 · outbound

This paper cites Leave- One-Out Stable Conformal Prediction , April 2025.

Approximate full-conformal multi-task regression with reproducing kernels Leave- One-Out Stable Conformal Prediction , April 2025

Reference 17

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Observation 81d8d709-685e-4800-8d2b-111f18e69a97 · outbound

This paper cites Optimal rates for regularized conditional mean embedding learning.

Approximate full-conformal multi-task regression with reproducing kernels Optimal rates for regularized conditional mean embedding learning

Reference 18

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Observation 239f643b-b96c-4967-a793-fd8979005029 · outbound

This paper cites Towards optimal sobolev norm rates for the vector-valued regularized least-squares algorithm.

Approximate full-conformal multi-task regression with reproducing kernels Towards optimal sobolev norm rates for the vector-valued regularized least-squares algorithm

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T09:22:29.382951Z

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Observation 2dae3f7c-5192-44ac-8ffe-82044619ecb0 · outbound

This paper cites A vector-contraction inequality for Rademacher complexities, May 2016.

Approximate full-conformal multi-task regression with reproducing kernels A vector-contraction inequality for Rademacher complexities, May 2016

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T09:22:29.382951Z

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Observation 4880ef2e-3ae9-4e83-9c50-a5376e3e2787 · outbound

This paper cites Copula-based conformal prediction for multi-target regression.

Approximate full-conformal multi-task regression with reproducing kernels Copula-based conformal prediction for multi-target regression

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T09:22:29.382951Z

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Observation e8dce28d-4909-4307-8dea-81a8d066f731 · outbound

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Approximate full-conformal multi-task regression with reproducing kernels Ellipsoidal conformal inference for multi-target regression

Reference 22

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Observation 856fbfe6-a8c1-426e-a99e-19bc1513085f · outbound

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Approximate full-conformal multi-task regression with reproducing kernels Kernels for Multi --task Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-12T09:22:29.382951Z

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Observation 2157d6b8-c306-44a3-aaff-df4c9f106f2a · outbound

This paper cites Micchelli and Massimiliano Pontil.

Approximate full-conformal multi-task regression with reproducing kernels Micchelli and Massimiliano Pontil

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-12T09:22:29.382951Z

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Observation 97d47946-90da-40e5-8ce1-73aa9102b87e · outbound

This paper cites Stable conformal prediction sets.

Approximate full-conformal multi-task regression with reproducing kernels Stable conformal prediction sets

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-12T09:22:29.382951Z

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Observation 94ab1e82-a293-48d0-99ac-050d08334c37 · outbound

This paper cites Inductive Conformal Prediction: Theory and Application to Neural Networks.

Approximate full-conformal multi-task regression with reproducing kernels Inductive Conformal Prediction: Theory and Application to Neural Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-12T09:22:29.382951Z

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Observation edb9f34d-1f1f-4815-9b28-c7db824ff612 · outbound

This paper cites Approximate full conformal prediction in an RKHS , January 2026.

Approximate full-conformal multi-task regression with reproducing kernels Approximate full conformal prediction in an RKHS , January 2026

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-12T09:22:29.382951Z

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Observation 66a40b82-3f56-4d7f-86c5-e07343ed8f98 · outbound

This paper cites Statistical Properties of the log-cosh Loss Function Used in Machine Learning.

Approximate full-conformal multi-task regression with reproducing kernels Statistical Properties of the log-cosh Loss Function Used in Machine Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-12T09:22:29.382951Z

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Observation bead171d-526b-4039-9faa-115a48371ce5 · outbound

This paper cites Learning theory estimates via integral operators and their approximations.

Approximate full-conformal multi-task regression with reproducing kernels Learning theory estimates via integral operators and their approximations

Reference 29

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Observation a4819576-6c0b-446f-b53f-e9372134ba87 · outbound

This paper cites Multi-task regression using minimal penalties.

Approximate full-conformal multi-task regression with reproducing kernels Multi-task regression using minimal penalties

Reference 30

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Observation 7c9800cd-2f41-4ef9-b57f-3e79f5079819 · outbound

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Approximate full-conformal multi-task regression with reproducing kernels Hush, and Clint Scovel

Reference 31

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Observation 596e6e86-0a59-4ab9-8887-01b4b60947af · outbound

This paper cites Algorithmic Learning in a Random World.

Approximate full-conformal multi-task regression with reproducing kernels Algorithmic Learning in a Random World

Reference 32

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Observation 36ec7d74-07a4-45b7-bba9-c1844b77c964 · outbound

This paper cites Algorithmic Learning in a Random World.

Approximate full-conformal multi-task regression with reproducing kernels Algorithmic Learning in a Random World

Reference 33

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Observation 047f5c16-6276-462b-a8f9-1077ce439212 · outbound

This paper cites A survey on multi-task learning.

Approximate full-conformal multi-task regression with reproducing kernels A survey on multi-task learning

Reference 34

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Observation b0afd467-ad61-4368-9c66-98e2dc83a900 · outbound

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Approximate full-conformal multi-task regression with reproducing kernels Gradient descent algorithms for quantile regression with smooth approximation

Reference 35

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