Paper Citation Record · LEDGER

Can Large Language Models Infer Causation from Correlation?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2306.05836.

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

pith.paper-citation-record.v1
2306.05836 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:18:07.449335Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

23
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ac92f3b7-db0a-417d-8698-c2e597a87a04 · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Can Large Language Models Infer Causation from Correlation?

Reference 168

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:12:31.644431Z

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 b30e8101-53ab-4990-871f-58ea1068234b · inbound

Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning cites this paper.

Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning Can Large Language Models Infer Causation from Correlation?

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:56:00.861248Z

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 f964b29d-209e-41e3-acf6-c9fac81f6f53 · inbound

ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning cites this paper.

ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning Can Large Language Models Infer Causation from Correlation?

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-08T10:18:07.449335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50682e57-524b-4846-a4bf-f7927c043e31 · inbound

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models cites this paper.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Can Large Language Models Infer Causation from Correlation?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:08.188141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0faf936-dcae-40c7-9e18-bd9a754c072e · inbound

Retrieval Augmented Generation based Large Language Models for Causality Mining cites this paper.

Retrieval Augmented Generation based Large Language Models for Causality Mining Can Large Language Models Infer Causation from Correlation?

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:42:42.399892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c9ec7cc-d665-4e11-8344-b9bd5a9a645c · inbound

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention cites this paper.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Can Large Language Models Infer Causation from Correlation?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:35.648776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84a78e7c-fdd5-46e3-bfbc-2031a7e7e6ce · inbound

A comprehensive taxonomy of hallucinations in Large Language Models cites this paper.

A comprehensive taxonomy of hallucinations in Large Language Models Can Large Language Models Infer Causation from Correlation?

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:13.031481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e49375b8-506d-48d2-bb56-826227baeb5d · inbound

CausalT5k: Diagnosing Refusal and Failure Modes in Trustworthy Causal Reasoning Across Causal Rungs cites this paper.

CausalT5k: Diagnosing Refusal and Failure Modes in Trustworthy Causal Reasoning Across Causal Rungs Can Large Language Models Infer Causation from Correlation?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T03:09:48.740391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 371c6f11-7fb1-4dc7-a58c-e02e8bb71772 · inbound

CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching cites this paper.

CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching Can Large Language Models Infer Causation from Correlation?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T21:28:28.474621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 219fccdf-8090-4428-b48b-d0c73c7b7230 · inbound

CausalReasoningBenchmark: A Real-World Benchmark for Disentangled Evaluation of Causal Identification and Estimation cites this paper.

CausalReasoningBenchmark: A Real-World Benchmark for Disentangled Evaluation of Causal Identification and Estimation Can Large Language Models Infer Causation from Correlation?

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T20:36:34.954630Z

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 67c02d91-40ad-4927-b226-91e33274201c · inbound

TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations cites this paper.

TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations Can Large Language Models Infer Causation from Correlation?

Reference 265

Resolution: verified exact; arxiv_id, observed 2026-05-08T19:09:02.904926Z

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 7cc31496-266c-4304-9b6c-50c01a71f1ab · inbound

CauSim: Scaling Causal Reasoning with Increasingly Complex Causal Simulators cites this paper.

CauSim: Scaling Causal Reasoning with Increasingly Complex Causal Simulators Can Large Language Models Infer Causation from Correlation?

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:31:29.347851Z

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 9f11658b-b7e4-4cda-94ad-7c36f158372f · inbound

A Large Language Model Approach to Generating Bypass Rules for Malware Evasion in Analysis Sandbox cites this paper.

A Large Language Model Approach to Generating Bypass Rules for Malware Evasion in Analysis Sandbox Can Large Language Models Infer Causation from Correlation?

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T08:31:16.956611Z

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 70cc7224-2d46-4033-a7e7-02540b08f325 · inbound

Reading the Finetuning Prior: Verbatim Content Recovery via Contrastive Decoding Diffing cites this paper.

Reading the Finetuning Prior: Verbatim Content Recovery via Contrastive Decoding Diffing Can Large Language Models Infer Causation from Correlation?

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T22:44:01.676949Z

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 cb1b1034-510c-4bbc-aaea-8681163c3605 · inbound

ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis cites this paper.

ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis Can Large Language Models Infer Causation from Correlation?

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:43:40.026604Z

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 3f3477f2-0d12-498f-badf-376ffb265b98 · inbound

Why LLMs Fail at Causal Discovery and How Interventional Agents Escape cites this paper.

Why LLMs Fail at Causal Discovery and How Interventional Agents Escape Can Large Language Models Infer Causation from Correlation?

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:33:45.306199Z

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 cf50a9f9-02fd-4a5e-af6f-23fc5c1647d8 · inbound

YoCausal: How Far is Video Generation from World Model? A Causality Perspective cites this paper.

YoCausal: How Far is Video Generation from World Model? A Causality Perspective Can Large Language Models Infer Causation from Correlation?

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:33:15.544362Z

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.