Paper Citation Record · LEDGER

Large Language Models are Effective Priors for Causal Graph Discovery

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2405.13551.

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

pith.paper-citation-record.v1
2405.13551 v1

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 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:01:57.642522Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:59:45.723252Z

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 1063807b-f8f9-4d5f-b09a-b4bc401ff7a7 · 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 Large Language Models are Effective Priors for Causal Graph Discovery

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:57.642522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81ca2f03-51e0-42cb-be6a-4525ef032297 · inbound

When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems cites this paper.

When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems Large Language Models are Effective Priors for Causal Graph Discovery

Reference 110

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:26:37.801138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a90e4ab0-057e-47a5-a696-ae5980bf5be2 · inbound

A Model of Multi-turn Human Persuadability Using Probabilistic Belief Tracing cites this paper.

A Model of Multi-turn Human Persuadability Using Probabilistic Belief Tracing Large Language Models are Effective Priors for Causal Graph Discovery

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T08:16:47.562858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 70954dda-befd-49f2-b4f5-67715e8623b8 · inbound

KG-SoftMAP: Soft Knowledge-Graph Priors for Bayesian Network Structure Learning from Sparse Discrete Data cites this paper.

KG-SoftMAP: Soft Knowledge-Graph Priors for Bayesian Network Structure Learning from Sparse Discrete Data Large Language Models are Effective Priors for Causal Graph Discovery

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T03:57:38.875722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9751cbd8-98e4-4bd6-9e32-c7373e0702e2 · inbound

KG-SoftMAP: Soft Knowledge-Graph Priors for Bayesian Network Structure Learning from Sparse Discrete Data cites this paper.

KG-SoftMAP: Soft Knowledge-Graph Priors for Bayesian Network Structure Learning from Sparse Discrete Data Large Language Models are Effective Priors for Causal Graph Discovery

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T14:30:10.983702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04c4b86d-8ec5-4d0c-bdad-46825ed0bbe9 · inbound

Structured Inference with Large Language Gibbs cites this paper.

Structured Inference with Large Language Gibbs Large Language Models are Effective Priors for Causal Graph Discovery

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:39:17.591828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0dc86064-3df0-4638-9336-0f5e1b87cfa1 · inbound

Causal Discovery in the Era of Agents cites this paper.

Causal Discovery in the Era of Agents Large Language Models are Effective Priors for Causal Graph Discovery

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:59:45.725050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 296a31a8-1768-42ad-a2cb-28e605f70989 · inbound

EviDAG: Auditable Causal DAG Authoring with Biomedical Literature cites this paper.

EviDAG: Auditable Causal DAG Authoring with Biomedical Literature Large Language Models are Effective Priors for Causal Graph Discovery

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T06:30:12.501118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.