Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:48:59.904522Z
Paper Citation Record · LEDGER
Do LLMs Act as Repositories of Causal Knowledge?
As of 14 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2412.10635.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
3 of 3 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d8e0e140-d0ed-4f04-8169-355d304ae852 · outbound
This paper cites Mining Causality: AI-Assisted Search for Instrumental Variables.
Do LLMs Act as Repositories of Causal Knowledge? Mining Causality: AI-Assisted Search for Instrumental Variables
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-11T15:48:59.967268Z
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 541d0e6c-4c89-4595-b742-a29ac7ab23a6 · outbound
This paper cites Large Language Models and Causal Inference in Collaboration: A Survey.
Do LLMs Act as Repositories of Causal Knowledge? Large Language Models and Causal Inference in Collaboration: A Survey
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:48:59.904522Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2e31b06-b552-4d5b-a3f8-c10fbfb47c81 · outbound
This paper cites Cause and Effect: Can Large Language Models Truly Understand Causality?.
Do LLMs Act as Repositories of Causal Knowledge? Cause and Effect: Can Large Language Models Truly Understand Causality?
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:48:59.890797Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.