Paper Citation Record · LEDGER

Integrating Large Language Model for Improved Causal Discovery

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2306.16902.

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

pith.paper-citation-record.v1
2306.16902 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:01:55.980223Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:09:43.691484Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 50b15419-7cae-428d-961e-751a2e3bb380 · inbound

In-depth Analysis of Graph-based RAG in a Unified Framework cites this paper.

In-depth Analysis of Graph-based RAG in a Unified Framework Integrating Large Language Model for Improved Causal Discovery

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:37:22.434369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 734e43b4-c54b-4f69-a234-de3a82aa0048 · inbound

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery cites this paper.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Integrating Large Language Model for Improved Causal Discovery

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:55.980223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a8b7a3d-637b-45ef-9ed4-17969a1743cd · inbound

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery cites this paper.

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

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:08:22.593208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cb259f2-8322-45d4-958b-9ca3aeb2b100 · inbound

Sequential Causal Discovery with Noisy Language Model Priors cites this paper.

Sequential Causal Discovery with Noisy Language Model Priors Integrating Large Language Model for Improved Causal Discovery

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:42:12.940759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6c1d45d8-5093-4820-8868-e81f734fd6b4 · inbound

PRCD-MAP: Learning How Much to Trust Imperfect Priors in Causal Discovery cites this paper.

PRCD-MAP: Learning How Much to Trust Imperfect Priors in Causal Discovery Integrating Large Language Model for Improved Causal Discovery

Reference 54

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:21:06.630350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c494369e-0ab5-4e47-964e-0abef2f051a4 · inbound

CausalGuard: Conformal Inference under Graph Uncertainty cites this paper.

CausalGuard: Conformal Inference under Graph Uncertainty Integrating Large Language Model for Improved Causal Discovery

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:54:43.226265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 33f9fd47-bd94-48dc-9774-d4b2b4377ce2 · inbound

A Survey on Federated Causal Discovery and Inference cites this paper.

A Survey on Federated Causal Discovery and Inference Integrating Large Language Model for Improved Causal Discovery

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:09:43.693052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 66476e0b-79d9-46ea-b05c-5e0b5f13bcfd · inbound

Automated Synthesis and Adversarial Validation of Executable Causal Research Pipelines cites this paper.

Automated Synthesis and Adversarial Validation of Executable Causal Research Pipelines Integrating Large Language Model for Improved Causal Discovery

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T08:16:48.717225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.