Paper Citation Record · LEDGER

Score-matching-based Structure Learning for Temporal Data on Networks

As of 25 July 2026, this Paper Citation Record lists 68 of 68 outbound references and 1 inbound Pith citation observation for arXiv:2412.07469.

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

pith.paper-citation-record.v1
2412.07469 v3

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T07:42:14.310697Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-25T06:30:59.84592+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T05:01:45.583355Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-12T05:41:27.023750Z

Reference resolution

68 of 68 outbound references displayed

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verified fuzzy58
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b1c7881c-f472-4a04-a278-3f3354f97965 · outbound

This paper cites Learning from the crowd: Regression discontinuity estimates of the effects of an online review database.

Score-matching-based Structure Learning for Temporal Data on Networks Learning from the crowd: Regression discontinuity estimates of the effects of an online review database

Reference 1

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Observation 84fa6b49-da54-4428-9059-454d5200e575 · outbound

This paper cites Structure learning of Hamiltonians from real-time evolution.

Score-matching-based Structure Learning for Temporal Data on Networks Structure learning of Hamiltonians from real-time evolution

Reference 2

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Observation 7be35d63-1738-43b2-a916-002427ba6cdf · outbound

This paper cites First-order methods in optimization.

Score-matching-based Structure Learning for Temporal Data on Networks First-order methods in optimization

Reference 3

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Observation c038bcbe-2075-4893-a7dc-7e9d770c6188 · outbound

This paper cites Differentiable causal discovery under unmeasured confounding.

Score-matching-based Structure Learning for Temporal Data on Networks Differentiable causal discovery under unmeasured confounding

Reference 4

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Observation 52c6dfdd-c115-4287-9c55-142f70359bb7 · outbound

This paper cites Boosting algorithms: Regularization, prediction and model fitting.

Score-matching-based Structure Learning for Temporal Data on Networks Boosting algorithms: Regularization, prediction and model fitting

Reference 5

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Observation f36ef4f9-5130-4dc3-b1fd-b2a84d1f2582 · outbound

This paper cites Boosting with the l 2 loss: regression and classification.

Score-matching-based Structure Learning for Temporal Data on Networks Boosting with the l 2 loss: regression and classification

Reference 6

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Observation c3b4c46d-0bfb-4a25-934b-d346e46136d8 · outbound

This paper cites CAM : Causal additive models, high-dimensional order search and penalized regression.

Score-matching-based Structure Learning for Temporal Data on Networks CAM : Causal additive models, high-dimensional order search and penalized regression

Reference 7

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Observation f0f8fcdf-ea5b-4aeb-ae54-cf55b45ef3d0 · outbound

This paper cites CUTS : Neural causal discovery from irregular time-series data.

Score-matching-based Structure Learning for Temporal Data on Networks CUTS : Neural causal discovery from irregular time-series data

Reference 8

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Observation 3c3e5245-7636-4e6a-b8c6-44abd43f8192 · outbound

This paper cites Learning B ayesian networks is NP -complete.

Score-matching-based Structure Learning for Temporal Data on Networks Learning B ayesian networks is NP -complete

Reference 9

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Observation f2ddbbc7-3acc-4c0b-9458-d3347b873df6 · outbound

This paper cites Optimal structure identification with greedy search.

Score-matching-based Structure Learning for Temporal Data on Networks Optimal structure identification with greedy search

Reference 10

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Observation 7657d2f2-ec7d-4732-94da-7ff8a68e3b7f · outbound

This paper cites Searching for the causal structure of a vector autoregression.

Score-matching-based Structure Learning for Temporal Data on Networks Searching for the causal structure of a vector autoregression

Reference 11

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Observation 2a858d06-0b0c-42df-ba9d-1cbde141722c · outbound

This paper cites Donoho and Iain M.

Score-matching-based Structure Learning for Temporal Data on Networks Donoho and Iain M

Reference 12

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Observation e2ff5be7-3cb1-4a92-90f3-264a5bdafed6 · outbound

This paper cites On random graphs.

Score-matching-based Structure Learning for Temporal Data on Networks On random graphs

Reference 13

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Observation 372ebd93-eed9-4deb-9299-aff19de294d8 · outbound

This paper cites On the evolution of random graphs.

Score-matching-based Structure Learning for Temporal Data on Networks On the evolution of random graphs

Reference 14

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Observation 56a7ec96-e64b-4aed-b583-d123667eb679 · outbound

This paper cites Directed acyclic graph structure learning from dynamic graphs.

Score-matching-based Structure Learning for Temporal Data on Networks Directed acyclic graph structure learning from dynamic graphs

Reference 15

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Observation 389f7020-383f-4c71-b6ce-3e28ef63541f · outbound

This paper cites Learning gaussian networks.

Score-matching-based Structure Learning for Temporal Data on Networks Learning gaussian networks

Reference 16

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Observation eb8f8012-1793-4abf-8ebe-970ead9ace8e · outbound

This paper cites Vision gnn: An image is worth graph of nodes.

Score-matching-based Structure Learning for Temporal Data on Networks Vision gnn: An image is worth graph of nodes

Reference 17

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Observation 88bfed06-f5b2-478a-9553-5bbf3e046352 · outbound

This paper cites Optimizing Data-driven Causal Discovery Using Knowledge-guided Search.

Score-matching-based Structure Learning for Temporal Data on Networks Optimizing Data-driven Causal Discovery Using Knowledge-guided Search

Reference 18

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Observation 7116555a-6481-4961-b8d4-b003d4021cca · outbound

This paper cites Learning B ayesian networks: The combination of knowledge and statistical data.

Score-matching-based Structure Learning for Temporal Data on Networks Learning B ayesian networks: The combination of knowledge and statistical data

Reference 19

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Observation 72c81fe7-0fab-4eb4-bbf0-abcdb3aad962 · outbound

This paper cites Ridge regression: Biased estimation for nonorthogonal problems.

Score-matching-based Structure Learning for Temporal Data on Networks Ridge regression: Biased estimation for nonorthogonal problems

Reference 20

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Observation 2f12af40-0924-4543-a61a-d93926b4e35a · outbound

This paper cites Generalized score functions for causal discovery.

Score-matching-based Structure Learning for Temporal Data on Networks Generalized score functions for causal discovery

Reference 21

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Observation f20aa1a4-7b2f-4737-b642-be336bf37210 · outbound

This paper cites Causal discovery from heterogeneous/nonstationary data.

Score-matching-based Structure Learning for Temporal Data on Networks Causal discovery from heterogeneous/nonstationary data

Reference 22

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Observation ee4642f2-51b0-4ece-b360-f14d9a331d54 · outbound

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Score-matching-based Structure Learning for Temporal Data on Networks Causal discovery from soft interventions with unknown targets: Characterization and learning

Reference 23

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Observation 26f74aa9-4d8c-42c8-91ab-216ef0b2572f · outbound

This paper cites Structural Vector Autoregressive Analysis.

Score-matching-based Structure Learning for Temporal Data on Networks Structural Vector Autoregressive Analysis

Reference 24

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Score-matching-based Structure Learning for Temporal Data on Networks Unresolved cited work

Reference 25

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Observation 641cde55-3712-4f09-a84b-c944caf59cd4 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Score-matching-based Structure Learning for Temporal Data on Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 27

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Observation 28e68267-e8cc-4bc4-b3cb-1a9dcd04850c · outbound

This paper cites Probabilistic graphical models: Principles and techniques.

Score-matching-based Structure Learning for Temporal Data on Networks Probabilistic graphical models: Principles and techniques

Reference 28

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Observation 7f653c3e-18a6-4cfe-81fa-1e373e471dba · outbound

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Score-matching-based Structure Learning for Temporal Data on Networks Gradient-Based Neural DAG Learning

Reference 29

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Observation 9ed7b19b-dc34-408a-80c6-4b4ccc0c388e · outbound

This paper cites On learning causal models from relational data.

Score-matching-based Structure Learning for Temporal Data on Networks On learning causal models from relational data

Reference 30

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Observation 56a800e9-3e1b-45ab-9992-162233040284 · outbound

This paper cites Causal discovery from observational and interventional data across multiple environments.

Score-matching-based Structure Learning for Temporal Data on Networks Causal discovery from observational and interventional data across multiple environments

Reference 31

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Observation 5c02af41-b218-495c-82d8-fbc596d08674 · outbound

This paper cites Reviews, reputation, and revenue: The case of yelp.com.

Score-matching-based Structure Learning for Temporal Data on Networks Reviews, reputation, and revenue: The case of yelp.com

Reference 32

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Observation 5852377b-a323-4b28-8c8a-39909bd0d24b · outbound

This paper cites Predicting causal effects in large-scale systems from observational data.

Score-matching-based Structure Learning for Temporal Data on Networks Predicting causal effects in large-scale systems from observational data

Reference 33

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Observation bfacc0fe-bd0c-43d3-b34c-d4417288d0aa · outbound

This paper cites A sound and complete algorithm for learning causal models from relational data.

Score-matching-based Structure Learning for Temporal Data on Networks A sound and complete algorithm for learning causal models from relational data

Reference 34

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Observation ff076fb5-ecfe-4473-9ac1-850db21f6ec7 · outbound

This paper cites High-dimensional graphs and variable selection with the lasso.

Score-matching-based Structure Learning for Temporal Data on Networks High-dimensional graphs and variable selection with the lasso

Reference 35

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Observation b9ec1206-6ef3-47b3-8762-4109e8f86151 · outbound

This paper cites A comparison of numerical optimizers for logistic regression.

Score-matching-based Structure Learning for Temporal Data on Networks A comparison of numerical optimizers for logistic regression

Reference 36

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Observation f5678e7e-ca91-419e-92f6-97ea3addd19a · outbound

This paper cites Causal search in structural vector autoregressive models.

Score-matching-based Structure Learning for Temporal Data on Networks Causal search in structural vector autoregressive models

Reference 37

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Observation e3e6bf07-6408-49e9-8edb-519a0f2f9e0f · outbound

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Score-matching-based Structure Learning for Temporal Data on Networks Causal discovery with score matching on additive models with arbitrary noise

Reference 38

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Observation ba288809-1598-48bd-b8d9-4aecb8f87b1a · outbound

This paper cites Scalable causal discovery with score matching.

Score-matching-based Structure Learning for Temporal Data on Networks Scalable causal discovery with score matching

Reference 39

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Observation 261117ed-7b19-468c-be2a-2a3f2c22023d · outbound

This paper cites Structure learning with continuous optimization: A sober look and beyond.

Score-matching-based Structure Learning for Temporal Data on Networks Structure learning with continuous optimization: A sober look and beyond

Reference 40

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Observation 1e024036-a420-46b5-ab97-c65103d6f6db · outbound

This paper cites Finding optimal models for small gene networks.

Score-matching-based Structure Learning for Temporal Data on Networks Finding optimal models for small gene networks

Reference 41

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Observation 0d1f0b29-2c91-471b-afa1-a3256932544c · outbound

This paper cites Dynotears: Structure learning from time-series data.

Score-matching-based Structure Learning for Temporal Data on Networks Dynotears: Structure learning from time-series data

Reference 42

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Observation 562b0262-4ad0-4f9b-8ad9-ea421b61a813 · outbound

This paper cites Probabilistic reasoning in intelligent systems: networks of plausible inference.

Score-matching-based Structure Learning for Temporal Data on Networks Probabilistic reasoning in intelligent systems: networks of plausible inference

Reference 43

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No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

Observation f2a33801-468c-4526-be98-eca56604da95 · outbound

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Score-matching-based Structure Learning for Temporal Data on Networks Bayesian networks

Reference 44

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Observation 25b3e0a4-814f-4a26-80f9-003a3ce9897f · outbound

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Score-matching-based Structure Learning for Temporal Data on Networks Causal discovery with continuous additive noise models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T07:42:45.236826Z

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Observation 4b1ef853-5e30-4af6-9a2d-d08c13a70dd6 · outbound

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Score-matching-based Structure Learning for Temporal Data on Networks Rajapakse and Juan Zhou

Reference 46

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Observation 2298416b-cb6b-4493-9425-856c42d30ca9 · outbound

This paper cites Uniform consistency in causal inference.

Score-matching-based Structure Learning for Temporal Data on Networks Uniform consistency in causal inference

Reference 47

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This paper cites a us Kleindessner, Chris Russell, Dominik Janzing, Bernhard Sch \.

Score-matching-based Structure Learning for Temporal Data on Networks a us Kleindessner, Chris Russell, Dominik Janzing, Bernhard Sch \

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T07:45:30.035801Z

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Observation e33c4ca0-e0e6-467a-acce-3f0e20e0d8ad · outbound

This paper cites Causal protein-signaling networks derived from multiparameter single-cell data.

Score-matching-based Structure Learning for Temporal Data on Networks Causal protein-signaling networks derived from multiparameter single-cell data

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T07:42:45.202958Z

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This paper cites o lkopf, Alexander Smola, and Klaus-Robert M \.

Score-matching-based Structure Learning for Temporal Data on Networks o lkopf, Alexander Smola, and Klaus-Robert M \

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T07:45:30.026332Z

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Observation 0b6fd999-a255-4c1b-8ded-160ff52e8cd7 · outbound

This paper cites Estimating the causal impact of recommendation systems from observational data.

Score-matching-based Structure Learning for Temporal Data on Networks Estimating the causal impact of recommendation systems from observational data

Reference 51

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Observation 0908f275-23bf-49c2-bf5f-b8f716fbd713 · outbound

This paper cites On the strong consistency of ridge estimates.

Score-matching-based Structure Learning for Temporal Data on Networks On the strong consistency of ridge estimates

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T07:45:30.063810Z

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Observation 6f30a424-8c60-4604-a4dd-55b95d930af5 · outbound

This paper cites An anytime algorithm for causal inference.

Score-matching-based Structure Learning for Temporal Data on Networks An anytime algorithm for causal inference

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T07:45:30.051996Z

Source-reported events for the cited work

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Observation a5407c3c-c137-41be-940c-1a4a99bb61e1 · outbound

This paper cites Causal inference in the presence of latent variables and selection bias.

Score-matching-based Structure Learning for Temporal Data on Networks Causal inference in the presence of latent variables and selection bias

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T07:45:30.055931Z

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No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

Observation ffe7672c-0c6c-4906-8f54-1d3068717451 · outbound

This paper cites Causation, prediction, and search.

Score-matching-based Structure Learning for Temporal Data on Networks Causation, prediction, and search

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T07:45:30.059648Z

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No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

Observation 91f74835-1d9d-49cc-99bc-0634d12a7e00 · outbound

This paper cites Causal structure learning: A combinatorial perspective.

Score-matching-based Structure Learning for Temporal Data on Networks Causal structure learning: A combinatorial perspective

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T07:45:30.067768Z

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No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

Observation 6281621a-ce04-41a2-8cd0-d14e5c9a3e1a · outbound

This paper cites A bound for the error in the normal approximation to the distribution of a sum of dependent random variables.

Score-matching-based Structure Learning for Temporal Data on Networks A bound for the error in the normal approximation to the distribution of a sum of dependent random variables

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T07:45:30.074589Z

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Observation 6afbd7e4-ac02-4427-832a-7cdcddc60881 · outbound

This paper cites Use of exchangeable pairs in the analysis of simulations.

Score-matching-based Structure Learning for Temporal Data on Networks Use of exchangeable pairs in the analysis of simulations

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T07:45:30.036745Z

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No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

Observation a33e5202-7d45-4f4c-9df1-c22bd6ca71e1 · outbound

This paper cites , title =.

Score-matching-based Structure Learning for Temporal Data on Networks , title =

Reference 59

Resolution: verified exact; doi, observed 2026-05-23T07:42:42.702132Z

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No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

Observation 21910acc-8b2a-4813-85ea-ac5a8070ee01 · outbound

This paper cites Geometry of the faithfulness assumption in causal inference.

Score-matching-based Structure Learning for Temporal Data on Networks Geometry of the faithfulness assumption in causal inference

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T07:45:30.033311Z

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No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

Observation ebfb4f2e-16c5-41a6-a6a7-bd70a5bf3a20 · outbound

This paper cites Syntren: a generator of synthetic gene expression data for design and analysis of structure learning algorithms.

Score-matching-based Structure Learning for Temporal Data on Networks Syntren: a generator of synthetic gene expression data for design and analysis of structure learning algorithms

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T07:45:30.047900Z

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No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

Observation 196d890b-9d32-42da-96b8-ed08f515d337 · outbound

This paper cites van Gerven , Babs G.

Score-matching-based Structure Learning for Temporal Data on Networks van Gerven , Babs G

Reference 62

Resolution: verified exact; doi, observed 2026-05-23T07:42:42.681015Z

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Observation 642e337f-4206-4380-b7ce-74bb3a5b5bba · outbound

This paper cites Graphical models, exponential families, and variational inference.

Score-matching-based Structure Learning for Temporal Data on Networks Graphical models, exponential families, and variational inference

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T07:42:45.257620Z

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Observation 580c9489-512f-402b-80e3-81d086af8a27 · outbound

This paper cites Ordering-based causal discovery with reinforcement learning.

Score-matching-based Structure Learning for Temporal Data on Networks Ordering-based causal discovery with reinforcement learning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T07:42:45.264925Z

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No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

Observation b31a22e1-b13c-4493-8a6e-211c3822fb1a · outbound

This paper cites A dynamic bayesian network model for the simulation of amyotrophic lateral sclerosis progression.

Score-matching-based Structure Learning for Temporal Data on Networks A dynamic bayesian network model for the simulation of amyotrophic lateral sclerosis progression

Reference 65

Resolution: verified exact; doi, observed 2026-05-23T07:42:42.693189Z

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No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

Observation 2e393b30-30db-4f76-8252-ee147bc3cd20 · outbound

This paper cites DAG s with NO TEARS : continuous optimization for structure learning.

Score-matching-based Structure Learning for Temporal Data on Networks DAG s with NO TEARS : continuous optimization for structure learning

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T07:42:45.217080Z

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No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

Observation 2a455dbd-4f70-41de-a627-ba5eeb3f8b1e · outbound

This paper cites Hessian estimation via S tein's identity in black-box problems.

Score-matching-based Structure Learning for Temporal Data on Networks Hessian estimation via S tein's identity in black-box problems

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T07:42:45.221012Z

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No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

Observation 739c137f-b82e-483d-a043-a79c6b0a19b1 · outbound

This paper cites Causal Discovery with Reinforcement Learning.

Score-matching-based Structure Learning for Temporal Data on Networks Causal Discovery with Reinforcement Learning

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:42:43.304227Z

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No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

Observation be3c45cf-a86a-4927-8050-f08e8cbe8913 · outbound

This paper cites write newline.

Score-matching-based Structure Learning for Temporal Data on Networks write newline

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T07:45:30.071456Z

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No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.

Pith citing papers

Observation be73261c-f5a1-4cf1-8d00-4876f9652281 · inbound

Intervention-Based Time Series Causal Discovery via Simulator-Generated Interventional Distributions cites this paper.

Intervention-Based Time Series Causal Discovery via Simulator-Generated Interventional Distributions Score-matching-based Structure Learning for Temporal Data on Networks

Reference 155

Resolution: verified exact; local_arxiv, observed 2026-05-12T05:41:27.026604Z

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