Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-07T08:02:49.168872Z
Paper Citation Record · LEDGER
Beyond the Mean: Within-Model Reliable Change Detection for LLM Evaluation
As of 10 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2604.27405.
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 2026-08-10T06:31:04.303077+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
4 of 4 outbound references displayed
- verified exact1
- verified fuzzy2
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 76e9b7d9-eb75-43b7-a72c-423c0acb1dcf · outbound
This paper cites InProceedings of the International Con- ference on Machine Learning.
Beyond the Mean: Within-Model Reliable Change Detection for LLM Evaluation InProceedings of the International Con- ference on Machine Learning
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T09:13:52.231365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b6584e4d-1a75-43b8-b2f4-97479d74664a · outbound
This paper cites InAdvances in Neural Information Processing Systems.
Beyond the Mean: Within-Model Reliable Change Detection for LLM Evaluation InAdvances in Neural Information Processing Systems
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T09:13:52.235793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 24f5328d-8cc5-4a49-9c81-d91b044b41d4 · outbound
This paper cites Do Large Language Model Benchmarks Test Reliability?.
Beyond the Mean: Within-Model Reliable Change Detection for LLM Evaluation Do Large Language Model Benchmarks Test Reliability?
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T10:06:27.313724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5504ef60-7b19-44d4-9713-039aaca1b0b4 · outbound
This paper cites Position: AI Evaluation Should Learn from How We Test Humans.
Beyond the Mean: Within-Model Reliable Change Detection for LLM Evaluation Position: AI Evaluation Should Learn from How We Test Humans
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:06:27.320015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.