Paper Citation Record · LEDGER

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph

As of 9 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2502.07857.

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

pith.paper-citation-record.v1
2502.07857 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:03:53.453591Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T19:06:16.307015Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

verified exact1
verified fuzzy37
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 41139e05-c04e-4e93-8ab3-69ccf03c5d8b · outbound

This paper cites Subset verification and search algorithms for causal dags.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Subset verification and search algorithms for causal dags

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.920987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 59dd81d3-aa40-4491-a381-c12142e787c7 · outbound

This paper cites Learning high-dimensional directed acyclic graphs with latent and selection variables.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Learning high-dimensional directed acyclic graphs with latent and selection variables

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.914578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation adc9956d-ebfc-4e05-a5f0-984979fe7307 · outbound

This paper cites The igraph software package for complex network research.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph The igraph software package for complex network research

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.908191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 41109806-f048-4980-8a91-864aa689b88e · outbound

This paper cites Local causal discovery with linear non-gaussian cyclic models.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Local causal discovery with linear non-gaussian cyclic models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.901684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dd975940-7526-4bcf-b365-1d1ef13b902c · outbound

This paper cites Local causal discovery of direct causes and effects.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Local causal discovery of direct causes and effects

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.895466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1026937e-288e-4aaf-b6e3-09e434e0f0b5 · outbound

This paper cites Review of causal discovery methods based on graphical models.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Review of causal discovery methods based on graphical models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T12:03:53.336780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7da6183d-e942-4745-9594-265b49bf5f8e · outbound

This paper cites Valid inference after causal discovery.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Valid inference after causal discovery

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.889277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 49966256-3fae-4251-b028-62b33235578b · outbound

This paper cites Variable elimination, graph reduction and the efficient g-formula.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Variable elimination, graph reduction and the efficient g-formula

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.882140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5320d9b3-4e3e-4c3c-aa2d-3f2e3f2124cc · outbound

This paper cites Local causal discovery for estimating causal effects.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Local causal discovery for estimating causal effects

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.874248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ce5f319f-c497-415d-9061-066eac378ed9 · outbound

This paper cites Exploring network structure, dynamics, and function using networkx.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Exploring network structure, dynamics, and function using networkx

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.866854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8e099a19-f1ad-487f-966e-4572d1609025 · outbound

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

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Learning bayesian networks: The combination of knowledge and statistical data

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.859152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b6e74649-71ea-45c6-a068-b98e755d635d · outbound

This paper cites Graphical criteria for efficient total effect estimation via adjustment in causal linear models.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Graphical criteria for efficient total effect estimation via adjustment in causal linear models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.851407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 64a11608-3dcb-4435-9364-8050dff1c286 · outbound

This paper cites Adjustment identification distance: A gadjid for causal structure learning.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Adjustment identification distance: A gadjid for causal structure learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.843704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6f1e7f0f-927e-4442-91af-e0a58700fb24 · outbound

This paper cites achler, Diego Colombo, Marloes H. Maathuis, and Peter B\.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph achler, Diego Colombo, Marloes H. Maathuis, and Peter B\

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T12:03:53.359695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 320660d0-2d41-4de0-b139-124ecc2e3e60 · outbound

This paper cites Characterization and learning of causal graphs with small conditioning sets.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Characterization and learning of causal graphs with small conditioning sets

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.836353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1f3d8fe2-e691-49ee-9a8e-0c0267b3887e · outbound

This paper cites Graphical models, volume 17.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Graphical models, volume 17

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.828953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6cb87124-1f19-42c2-a09b-a265a220ab77 · outbound

This paper cites Using feature selection for local causal structure learning.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Using feature selection for local causal structure learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.821984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c199d984-95fb-4aab-8ae5-203bf2a7c2ab · outbound

This paper cites an unresolved cited work.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-08T12:04:23.815124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0b8de47d-4d4d-432e-9358-1a2d9a06b062 · outbound

This paper cites A generalized back-door criterion.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph A generalized back-door criterion

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.808286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8aea0f74-aac3-4f3d-84c5-10583c7d617d · outbound

This paper cites Estimating high-dimensional intervention effects from observational data.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Estimating high-dimensional intervention effects from observational data

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.801344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fab001e4-1abb-4b52-8067-ec20bda2b83d · outbound

This paper cites Causal inference and causal explanation with background knowledge.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Causal inference and causal explanation with background knowledge

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.794218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ea5d27bb-4554-42fe-adfb-3c91d19256c2 · outbound

This paper cites A recursive markov boundary-based approach to causal structure learning.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph A recursive markov boundary-based approach to causal structure learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T12:03:53.380547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55b85745-f93e-4007-b2a5-49f93c86396e · outbound

This paper cites Recursive Causal Discovery.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Recursive Causal Discovery

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-08T12:04:08.573155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0cb9ec05-16aa-41ad-b5cf-64b77646ca3d · outbound

This paper cites Causality.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Causality

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T12:03:53.386489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02a95871-2047-4316-8536-20c8917aa987 · outbound

This paper cites Using markov blankets for causal structure learning.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Using markov blankets for causal structure learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.779501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 39266bfd-6390-4714-9efa-c6727d17b603 · outbound

This paper cites A complete generalized adjustment criterion.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph A complete generalized adjustment criterion

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.772705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 921c6143-b06e-4ea7-bf38-d2af038b5c2c · outbound

This paper cites Maathuis.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Maathuis

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.766055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f8fa8ea4-88c9-4651-92c2-3537b7ad4073 · outbound

This paper cites Py-tetrad and rpy-tetrad: A new python interface with r support for tetrad causal search.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Py-tetrad and rpy-tetrad: A new python interface with r support for tetrad causal search

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.757841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4256947d-ec3a-4a30-926b-2076eeb88e8c · outbound

This paper cites an unresolved cited work.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-08T12:04:23.749816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 868bcacd-0868-483f-abba-1587264a0b58 · outbound

This paper cites Marginal causal consistency in constraint-based causal learning.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Marginal causal consistency in constraint-based causal learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.741871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5c833850-1a4b-41b0-8c9a-4de9f1452254 · outbound

This paper cites Estimating the Dimension of a Model.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Estimating the Dimension of a Model

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T12:03:53.405488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 902db135-64d5-4f97-b8a6-ef9cf9e3ba72 · outbound

This paper cites Learning bayesian networks with the bnlearn R package.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Learning bayesian networks with the bnlearn R package

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T12:03:53.408200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c361db1-b0ef-4c4c-9c58-dc9d52218872 · outbound

This paper cites Meek separators and their applications in targeted causal discovery.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Meek separators and their applications in targeted causal discovery

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.733981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eab36d52-150e-4ee3-9f89-2dc19b6fe933 · outbound

This paper cites An anytime algorithm for causal inference.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph An anytime algorithm for causal inference

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.725738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dd35ad33-4f1e-46ec-bb01-db484e4b3014 · outbound

This paper cites Causation, prediction, and search.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Causation, prediction, and search

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T12:03:53.416077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81ab18e5-e4c1-46fd-9e52-4988945fdb85 · outbound

This paper cites Peskin, and Constantin F.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Peskin, and Constantin F

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.713563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4994b231-33da-4a18-b7d0-e788a97ab7be · outbound

This paper cites Learning from pairwise marginal independencies.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Learning from pairwise marginal independencies

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.705927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 61002d66-3d02-4c8c-84ac-244af9826c7e · outbound

This paper cites Robust causal inference using directed acyclic graphs: the r package 'dagitty'.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Robust causal inference using directed acyclic graphs: the r package 'dagitty'

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T12:03:53.424302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e80a1d68-ceba-47d4-b13d-92536754b37e · outbound

This paper cites Finding minimal d-separators.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Finding minimal d-separators

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.698426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df99eff3-193d-4aec-b9d0-0bfc838426e0 · outbound

This paper cites Algorithms for large scale markov blanket discovery.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Algorithms for large scale markov blanket discovery

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.691628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ac94381b-812d-4356-88a9-4c7102bb31d6 · outbound

This paper cites Equivalence and synthesis of causal models.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Equivalence and synthesis of causal models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.684803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7a2062f0-d377-4d7f-a8f8-3d38bd287ea2 · outbound

This paper cites Discovering and orienting the edges connected to a target variable in a dag via a sequential local learning approach.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Discovering and orienting the edges connected to a target variable in a dag via a sequential local learning approach

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.671272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 87aca58b-9026-4cec-a6f5-657c448a3712 · outbound

This paper cites Causal discovery under a confounder blanket.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Causal discovery under a confounder blanket

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.663553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e282f9dc-848a-467c-845d-393282ff7a24 · outbound

This paper cites Recovering causal structures from low-order conditional independencies.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Recovering causal structures from low-order conditional independencies

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.656087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 479c04a4-6dc5-4a4e-9e51-ed0ccb53721b · outbound

This paper cites Partial orientation and local structural learning of causal networks for prediction.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Partial orientation and local structural learning of causal networks for prediction

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.648661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation da983e70-d986-4dc1-885a-4597efe931aa · outbound

This paper cites Causal inference and reasoning in causally insufficient systems.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Causal inference and reasoning in causally insufficient systems

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.640759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 439051df-d3d5-4e7b-ab83-bbb9c9961bcb · outbound

This paper cites Kernel-based conditional independence test and application in causal discovery.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Kernel-based conditional independence test and application in causal discovery

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.632096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 366483d4-2591-4505-917d-0d1f8571d65b · outbound

This paper cites Causal-learn: Causal discovery in python.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Causal-learn: Causal discovery in python

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T12:03:53.451062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26194a2c-3376-4b84-97a1-68b974dfcc90 · outbound

This paper cites Discover local causal network around a target to a given depth.

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Discover local causal network around a target to a given depth

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:04:23.619165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 543cc1e5-b67d-4ec1-b9f6-575c32026a30 · inbound

Knowledge-Informed Local Causal Discovery of Optimal Adjustment Sets cites this paper.

Knowledge-Informed Local Causal Discovery of Optimal Adjustment Sets SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph

Reference 32

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