Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Causality for Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.15319.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:54:50.612831Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T17:33:45.280054Z
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 9eeffaf6-f0b4-4654-b2ca-5bdfd5404e88 · inbound
Beyond Correlation: Towards Causal Large Language Model Agents in Biomedicine cites this paper.
Beyond Correlation: Towards Causal Large Language Model Agents in Biomedicine Causality for Large Language Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:54:50.612831Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1daafcf-610a-431c-8c48-9bbcf7d68ee1 · inbound
On using AI for EEG-based BCI applications: problems, current challenges and future trends cites this paper.
On using AI for EEG-based BCI applications: problems, current challenges and future trends Causality for Large Language Models
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:48:11.297582Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc434d29-8fb6-4776-b033-43e8cb8b5750 · inbound
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? cites this paper.
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Causality for Large Language Models
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:36:25.100645Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51e65605-af72-4a97-94da-8eadd4c0a9a3 · inbound
CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models cites this paper.
CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models Causality for Large Language Models
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:32:14.071834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 936772ce-797d-43e7-9d22-49688d14a869 · inbound
Mathematical Reasoning via Intervention-Based Time-Series Causal Discovery Using LLMs as Concept Mastery Simulators cites this paper.
Mathematical Reasoning via Intervention-Based Time-Series Causal Discovery Using LLMs as Concept Mastery Simulators Causality for Large Language Models
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:55:57.619204Z
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 cdedf459-0bb3-4774-b24e-8820819bb728 · inbound
Multimodal LLMs under Pairwise Modalities cites this paper.
Multimodal LLMs under Pairwise Modalities Causality for Large Language Models
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T05:39:40.654956Z
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 b6e3aeb0-a3c5-4822-a84a-aa3ac59150dd · 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 Causality for Large Language Models
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T17:33:45.281879Z
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 cf506f7a-38bd-44c2-a1fa-d9252f60da62 · inbound
Causal-Audit: Explicit and Auditable Graph-based Reasoning via Target-Aware Causal Chain Construction cites this paper.
Causal-Audit: Explicit and Auditable Graph-based Reasoning via Target-Aware Causal Chain Construction Causality for Large Language Models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T15:46:34.288595Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.