Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.13952.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T17:28:33.394661Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T17:33:45.295050Z
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 bf127704-8c3c-4667-b3e8-5ef3959dfb2f · inbound
When Do We Need LLMs? A Diagnostic for Language-Driven Bandits cites this paper.
When Do We Need LLMs? A Diagnostic for Language-Driven Bandits Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:25:51.163780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0affc035-9d76-4da7-a5e6-ef6245a7ba90 · inbound
CausalGuard: Conformal Inference under Graph Uncertainty cites this paper.
CausalGuard: Conformal Inference under Graph Uncertainty Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T07:54:43.139352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a1348669-5671-49ca-ac2c-4b5859e455c2 · 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 Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T17:33:45.296783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.