Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Benchmarking Causal Study to Interpret Large Language Models for Source Code
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.12415.
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 2026-08-07T00:13:09.694114Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T00:13:10.159184Z
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 78594478-5816-4221-ba1b-8356c8171e5a · inbound
A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code cites this paper.
A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Benchmarking Causal Study to Interpret Large Language Models for Source Code
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T06:49:08.796729Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0619ba71-1c81-46d3-80af-5ce79a014d8e · inbound
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering cites this paper.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Benchmarking Causal Study to Interpret Large Language Models for Source Code
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:21:23.858306Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d9e4064-f972-4562-a4f8-99cd05bd4692 · inbound
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering cites this paper.
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Benchmarking Causal Study to Interpret Large Language Models for Source Code
Reference 21
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T00:13:10.167430Z
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.