Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.12023.
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 2026-08-08T20:08:13.561342Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z
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 1b6e33af-0921-4245-8f75-01e7a5f4bf2e · inbound
CodeSCM: Causal Analysis for Multi-Modal Code Generation cites this paper.
CodeSCM: Causal Analysis for Multi-Modal Code Generation A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T20:08:13.561342Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c249a90-ee8c-44fa-a161-d2ae91c4b5e9 · inbound
Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions cites this paper.
Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models
Reference 162
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:42:31.370137Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54a4c823-5dea-4b83-946e-632206db8ca3 · inbound
Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.
Toward Calibrated, Fair, and accurate Deepfake Detection A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T07:11:45.342461Z
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.