Paper Citation Record · LEDGER

Probabilistic Regressor Chains with Monte Carlo Methods

As of 21 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:1907.08087.

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pith.paper-citation-record.v1
1907.08087 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T19:42:43.916120Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

44 of 44 outbound references displayed

verified exact3
verified fuzzy36
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa369e6d-c32c-4989-a2a4-0996c2dd7329 · outbound

This paper cites Bayesian Reasoning and Machine Learning.

Probabilistic Regressor Chains with Monte Carlo Methods Bayesian Reasoning and Machine Learning

Reference 1

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Observation cdf87b21-7d09-4151-acda-906b38198bdf · outbound

This paper cites System Identification through Online Sparse Gaussian Process Regression with Input Noise.

Probabilistic Regressor Chains with Monte Carlo Methods System Identification through Online Sparse Gaussian Process Regression with Input Noise

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-24T19:44:53.406853Z

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Observation b14b4211-2f2d-4a69-ac95-38e9e7cbd4ec · outbound

This paper cites A survey on multi-output regression.Wiley Int.

Probabilistic Regressor Chains with Monte Carlo Methods A survey on multi-output regression.Wiley Int

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.222896Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3be54eda-b717-402a-96c1-9907f6ae1aaa · outbound

This paper cites Bugallo, Luca Martino, and Jukka Corander.

Probabilistic Regressor Chains with Monte Carlo Methods Bugallo, Luca Martino, and Jukka Corander

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.237457Z

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Observation 25bd21eb-3e44-4917-a9a1-f7ed4fc31ff7 · outbound

This paper cites Adios: Archi- tectures deep in output space.

Probabilistic Regressor Chains with Monte Carlo Methods Adios: Archi- tectures deep in output space

Reference 5

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Observation e66eea95-b829-4ce4-8a45-77577d69311f · outbound

This paper cites An approximate inference with Gaussian Process to latent functions from uncertain data.

Probabilistic Regressor Chains with Monte Carlo Methods An approximate inference with Gaussian Process to latent functions from uncertain data

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.219568Z

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Observation 96e9e08a-c30f-444e-9efb-43838cea55e2 · outbound

This paper cites Deep Gaussian Processes.

Probabilistic Regressor Chains with Monte Carlo Methods Deep Gaussian Processes

Reference 7

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Observation a8e8f5b7-ab3a-4475-b2ba-0eeef7b82220 · outbound

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Probabilistic Regressor Chains with Monte Carlo Methods Unresolved cited work

Reference 8

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Observation 04d07009-ee30-4487-8c44-dcbb129fe363 · outbound

This paper cites Dellaportas and D.

Probabilistic Regressor Chains with Monte Carlo Methods Dellaportas and D

Reference 9

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Observation 6dba3248-c549-489d-a51b-67fefcbb47db · outbound

This paper cites Bayes op- timal multilabel classiﬁcation via probabilistic classiﬁer chains.

Probabilistic Regressor Chains with Monte Carlo Methods Bayes op- timal multilabel classiﬁcation via probabilistic classiﬁer chains

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.168802Z

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Observation 31b708bd-09e0-41e1-8d73-ba1afeaa2de5 · outbound

This paper cites On label dependence and loss minimization in multi-label classiﬁcation.

Probabilistic Regressor Chains with Monte Carlo Methods On label dependence and loss minimization in multi-label classiﬁcation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.197292Z

Source-reported events for the cited work

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Observation ea05958e-29c7-4156-9231-b160af9f6ca0 · outbound

This paper cites An analysis of chaining in multi-label classiﬁcation.

Probabilistic Regressor Chains with Monte Carlo Methods An analysis of chaining in multi-label classiﬁcation

Reference 12

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Observation 98cb4137-5918-4a04-baab-492f4940be60 · outbound

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Probabilistic Regressor Chains with Monte Carlo Methods Unresolved cited work

Reference 13

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Observation 6b695238-f653-4ae3-b564-9ae2d7d2d824 · outbound

This paper cites Elvira, L.

Probabilistic Regressor Chains with Monte Carlo Methods Elvira, L

Reference 14

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Source-reported events for the cited work

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Observation 9ba0b09c-8432-448f-a389-e00b49491c9b · outbound

This paper cites Multi-label classiﬁcation using conditional dependency networks.

Probabilistic Regressor Chains with Monte Carlo Methods Multi-label classiﬁcation using conditional dependency networks

Reference 15

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Observation 0087a429-0746-4bb1-9e8c-ec9b81d9e62d · outbound

This paper cites A novel boosted-neural network ensemble for modeling multi-target regression problems.

Probabilistic Regressor Chains with Monte Carlo Methods A novel boosted-neural network ensemble for modeling multi-target regression problems

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.222518Z

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Observation 1e23217e-1fb3-4599-a636-fe65ac360e64 · outbound

This paper cites The Elements of Statistical Learning.

Probabilistic Regressor Chains with Monte Carlo Methods The Elements of Statistical Learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.130446Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8780fe23-2bd2-489d-8185-fefe64408ff7 · outbound

This paper cites Deep residual learning for image recognition.

Probabilistic Regressor Chains with Monte Carlo Methods Deep residual learning for image recognition

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.188760Z

Source-reported events for the cited work

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Probabilistic Regressor Chains with Monte Carlo Methods Unresolved cited work

Reference 19

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Observation f324a565-e428-4ed9-b556-25b3ce93d8a3 · outbound

This paper cites Conditional entropy based classiﬁer chains for multi-label classiﬁcation.

Probabilistic Regressor Chains with Monte Carlo Methods Conditional entropy based classiﬁer chains for multi-label classiﬁcation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.140072Z

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Observation 6c8c0d9f-051d-43c8-92bf-6c1f16bb33df · outbound

This paper cites A Comprehensive Analysis of Deep Regression.

Probabilistic Regressor Chains with Monte Carlo Methods A Comprehensive Analysis of Deep Regression

Reference 21

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Observation 14cb7b65-35e6-452e-a8a4-513a46f8865a · outbound

This paper cites Bayesian Warped Gaussian Processes.

Probabilistic Regressor Chains with Monte Carlo Methods Bayesian Warped Gaussian Processes

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.200639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 09574941-756f-41b3-a03e-d6992d121402 · outbound

This paper cites Martino, V.

Probabilistic Regressor Chains with Monte Carlo Methods Martino, V

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8231a987-f318-4d18-999a-9009db8181b9 · outbound

This paper cites Group importance sampling for particle ﬁltering and MCMC.

Probabilistic Regressor Chains with Monte Carlo Methods Group importance sampling for particle ﬁltering and MCMC

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.213198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0d6e53c8-42d7-4009-afa0-e0609c803818 · outbound

This paper cites Cooper- ative parallel particle ﬁlters for online model selection and applications to urban mobility.

Probabilistic Regressor Chains with Monte Carlo Methods Cooper- ative parallel particle ﬁlters for online model selection and applications to urban mobility

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.115013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bac8351f-825b-498e-be7b-c941f6d541c4 · outbound

This paper cites Using A* for inference in probabilistic classiﬁer chains.

Probabilistic Regressor Chains with Monte Carlo Methods Using A* for inference in probabilistic classiﬁer chains

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.195847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 29ab7471-18e8-49b2-b334-587457139d02 · outbound

This paper cites Scikit- MultiFlow: A multi-output streaming framework.

Probabilistic Regressor Chains with Monte Carlo Methods Scikit- MultiFlow: A multi-output streaming framework

Reference 27

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Observation 58a2d40c-8c54-4c05-901e-1b9b6db78331 · outbound

This paper cites Maximizing subset accuracy with recurrent neural networks in multi-label classiﬁcation.

Probabilistic Regressor Chains with Monte Carlo Methods Maximizing subset accuracy with recurrent neural networks in multi-label classiﬁcation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.180385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a707238-9e08-42c9-805a-032bb95d19e3 · outbound

This paper cites Qui˜ nonero-Candela, A.

Probabilistic Regressor Chains with Monte Carlo Methods Qui˜ nonero-Candela, A

Reference 29

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Source-reported events for the cited work

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Observation cc62930f-bdf1-401f-88cf-4bfea9282f1e · outbound

This paper cites Multi-dimensional clas- siﬁcation with super-classes.

Probabilistic Regressor Chains with Monte Carlo Methods Multi-dimensional clas- siﬁcation with super-classes

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 10ffb6dc-06b0-407e-929c-97c6bdc2ea8d · outbound

This paper cites Multi-label Classification using Labels as Hidden Nodes.

Probabilistic Regressor Chains with Monte Carlo Methods Multi-label Classification using Labels as Hidden Nodes

Reference 31

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8dfbfbc0-7e76-47cb-a099-9b0802b57650 · outbound

This paper cites Multi-label methods for prediction with sequential data.

Probabilistic Regressor Chains with Monte Carlo Methods Multi-label methods for prediction with sequential data

Reference 32

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b8773799-6524-4362-a00d-69c0aa38c9b9 · outbound

This paper cites Multi-label methods for prediction with sequential data.

Probabilistic Regressor Chains with Monte Carlo Methods Multi-label methods for prediction with sequential data

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.212275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0608522f-632d-4a39-93be-cd23a9664e4b · outbound

This paper cites Eﬃcient Monte Carlo meth- ods for multi-dimensional learning with classiﬁer chains.

Probabilistic Regressor Chains with Monte Carlo Methods Eﬃcient Monte Carlo meth- ods for multi-dimensional learning with classiﬁer chains

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.206538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3375f98e-1b36-4d0f-8ce3-e3e4168e881d · outbound

This paper cites Olmos, and David Luengo.

Probabilistic Regressor Chains with Monte Carlo Methods Olmos, and David Luengo

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.143062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6d9703ab-cf66-4ad2-a74c-05c24df32c82 · outbound

This paper cites Classi- ﬁer chains for multi-label classiﬁcation.

Probabilistic Regressor Chains with Monte Carlo Methods Classi- ﬁer chains for multi-label classiﬁcation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.147097Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 684a4716-dc75-4d84-8361-d7d07a17e253 · outbound

This paper cites Snelson, Z.

Probabilistic Regressor Chains with Monte Carlo Methods Snelson, Z

Reference 37

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Observation be7adc79-fee0-4d04-b43f-f881820c12a1 · outbound

This paper cites Multi-target regression via input space expansion: treating targets as inputs.

Probabilistic Regressor Chains with Monte Carlo Methods Multi-target regression via input space expansion: treating targets as inputs

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.114227Z

Source-reported events for the cited work

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Observation db5399f5-4c5b-4fc1-9fb6-99f78fa2473b · outbound

This paper cites Ccnet: Joint multi-label classiﬁcation and feature selec- tion using classiﬁer chains and elastic net regularization.

Probabilistic Regressor Chains with Monte Carlo Methods Ccnet: Joint multi-label classiﬁcation and feature selec- tion using classiﬁer chains and elastic net regularization

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.216170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7d964f30-e096-4844-9e44-6da71ec208e2 · outbound

This paper cites Random k- labelsets for multi-label classiﬁcation.

Probabilistic Regressor Chains with Monte Carlo Methods Random k- labelsets for multi-label classiﬁcation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.208969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 475c7033-7188-4e24-9c01-4b7a8db4d77b · outbound

This paper cites Multi- target prediction: A unifying view on problems and methods.

Probabilistic Regressor Chains with Monte Carlo Methods Multi- target prediction: A unifying view on problems and methods

Reference 41

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Observation 3663421d-a255-4ad1-95c6-caef938fb78b · outbound

This paper cites Monte carlo tree search in continuous action spaces with execution uncertainty.

Probabilistic Regressor Chains with Monte Carlo Methods Monte carlo tree search in continuous action spaces with execution uncertainty

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T19:56:22.229576Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5901d760-afc4-4c3f-b128-0b44627156c5 · outbound

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Probabilistic Regressor Chains with Monte Carlo Methods Unresolved cited work

Reference 43

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Observation 3ef404f0-3e2d-465f-9499-0ef201c39145 · outbound

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Probabilistic Regressor Chains with Monte Carlo Methods Unresolved cited work

Reference 44

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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