Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery | Paper Citation Record

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This paper cites Castro, and Daniel C.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Castro, and Daniel C

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Integrating Large Language Model for Improved Causal Discovery

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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This paper cites 2007.Learning to Rank: From Pairwise Approach to Listwise Approach.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery 2007.Learning to Rank: From Pairwise Approach to Listwise Approach

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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This paper cites Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E

Reference 12

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

Reference 13

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Gradient-Boosted Based Structured and Unstructured Learning

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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This paper cites Faithful Question Answering with Monte-Carlo Planning.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Faithful Question Answering with Monte-Carlo Planning

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This paper cites Mistral 7B.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Mistral 7B

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This paper cites HyKGE: A Hypothesis Knowledge Graph Enhanced Framework for Accurate and Reliable Medical LLMs Responses.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery HyKGE: A Hypothesis Knowledge Graph Enhanced Framework for Accurate and Reliable Medical LLMs Responses

Reference 21

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This paper cites Efficient Causal Graph Discovery Using Large Language Models.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Efficient Causal Graph Discovery Using Large Language Models

Reference 22

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Common 7B Language Models Already Possess Strong Math Capabilities

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Passage Re-ranking with BERT

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Lauffenburger, and Garry P

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Hoyer, and Kenneth Bollen

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Spirtes, C

Reference 46

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery 2001.Causation, Prediction, and Search

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Yu, and Tianyi Wu

Reference 49

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach

Reference 52

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Gemma: Open Models Based on Gemini Research and Technology

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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This paper cites Causal-Discovery Performance of ChatGPT in the context of Neuropathic Pain Diagnosis.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Causal-Discovery Performance of ChatGPT in the context of Neuropathic Pain Diagnosis

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering

Reference 58

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This paper cites KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases

Reference 59

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Observation 10d93fad-8180-40b9-9560-9d1dacf04698 · outbound

This paper cites Can Foundation Models Talk Causality?.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Can Foundation Models Talk Causality?

Reference 60

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Source-reported events for the cited work

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Observation f7b28b0c-1784-4e39-a881-4a658150d688 · outbound

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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

Reference 61

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Observation d197a3ff-7e71-4878-beac-dbd4e2fe6422 · outbound

This paper cites an unresolved cited work.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:08:36.018100Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bd7cf9e9-677b-4b7e-b31b-8ebc6def48d6 · outbound

This paper cites an unresolved cited work.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Unresolved cited work

Reference 63

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Observation ae79dc7d-0d44-44f5-b9eb-d951a02bfed7 · outbound

This paper cites Understanding Causality with Large Language Models: Feasibility and Opportunities.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery Understanding Causality with Large Language Models: Feasibility and Opportunities

Reference 64

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Observation 9d525258-02a7-4ab2-a8c6-ed9a4ef42ed6 · outbound

This paper cites PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction

Reference 65

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Observation 9e45e3f1-78c6-4cf2-adf0-38550a6f333c · outbound

This paper cites BMC Bioinformatics14, 1 (Nov 2013), 323.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery BMC Bioinformatics14, 1 (Nov 2013), 323

Reference 2013

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Observation e74c108e-d3e9-43d3-be33-7c5061ccc95e · outbound

This paper cites InIEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022, Donald A.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery InIEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022, Donald A

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T05:08:30.649178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81bf1c31-7f6d-4e2d-b004-ddc60906bddb · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering36, 7 (July 2024), 3580–3599.

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery IEEE Transactions on Knowledge and Data Engineering36, 7 (July 2024), 3580–3599

Reference 2024

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Outbound references

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