Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T14:49:01.272876Z
Paper Citation Record · LEDGER
Detection Without Correction: A Two-Parameter Decomposition of Multi-Stage LLM Pipelines
As of 23 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2605.27559.
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 2026-08-22T06:32:14.747728+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 exact2
- verified fuzzy0
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0ba2bba6-0fb4-46dd-a3c0-e4e05b7f9321 · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
Detection Without Correction: A Two-Parameter Decomposition of Multi-Stage LLM Pipelines Training Verifiers to Solve Math Word Problems
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T14:53:31.240308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1c1d9096-1670-43cf-8d3f-874dc692849c · outbound
This paper cites InInternational Conference on Learning Representations, volume 2024, pages 39578–39601.
Detection Without Correction: A Two-Parameter Decomposition of Multi-Stage LLM Pipelines InInternational Conference on Learning Representations, volume 2024, pages 39578–39601
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T14:49:01.272876Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0706b791-f04b-4a41-b3f3-8366aa724785 · outbound
This paper cites QUIVER: A Formal Framework for Quantifying Perturbation Propagation and Bifurcation in Compound AI Systems.
Detection Without Correction: A Two-Parameter Decomposition of Multi-Stage LLM Pipelines QUIVER: A Formal Framework for Quantifying Perturbation Propagation and Bifurcation in Compound AI Systems
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T14:53:31.243198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.