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Paper Citation Record · LEDGER

Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.01454.

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

pith.paper-citation-record.v1
2402.01454 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:04:30.303081Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:17:34.850773Z

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 74b67bb6-2fdc-4aca-ae2f-94b5eaeca579 · inbound

Causal-Invariant Cross-Domain Out-of-Distribution Recommendation cites this paper.

Causal-Invariant Cross-Domain Out-of-Distribution Recommendation Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:30.303081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:30.303081Z digest=sha256:08726d4d9b6a7bf986a6218272e53d2ea764b26685f2f125afff0d93a339c4b6

Observation 5c6cb22d-ebec-498d-9d36-a5ef8703ee74 · 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 Models in Causal Discovery: A Statistical Causal Approach

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T12:01:57.910286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:01:57.910286Z digest=sha256:5818028aecbe9f922283fbf616bc757e1a01870aa730779013a803dddf9f6e94

Observation 45690ad4-f914-4c0d-b2de-104f421a4a50 · 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 Models in Causal Discovery: A Statistical Causal Approach

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T05:08:29.109068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:08:29.109068Z digest=sha256:ce2010618505f60595bc7188ecf7b21b936a6381eb41b918bc5b46c58fbdf5cb

Observation f5c60b44-b959-4f45-bc2e-f5ce1f62d26d · inbound

CausalSteward: An Agentic Divide-Conquer-Combine Copilot for Causal Discovery cites this paper.

CausalSteward: An Agentic Divide-Conquer-Combine Copilot for Causal Discovery Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-03T03:17:34.852666Z

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.

source=pdf_text observed=2026-07-03T03:16:33.530112Z digest=sha256:6c1dd48a4c8a24988a4bbd25e7ed2ce636cfe0e44d17d291b075dd93503d1e1f