WhitzardNUWA Lab ↗
NUWANUWA INDEX

Search NUWA Index

Research · Benchmarks · Findings · Perspectives

中文
← Library

Risk Evaluation · Method

Transect: Retaining Observability for Long-Horizon LLM Agent Evaluations

NUWA research note · independent review pending

First published: Source checked: 2026-10-25
NUWA Research NoteResearch questionDesign and assumptionsSource findingsNUWA interpretationLimits and contrary evidenceResearch and decision relevanceInstitutions and rolesOriginal resources

Model-assisted reading · Selected sections of the original full text or official article; a complete section-by-section audit remains pending.

At a glance

NUWA interpretation: navigable provenance helps inspect a behavioral claim without itself proving the label correct.

Research question

How can evaluators preserve observability and auditability in very long agent runs?

Design and assumptions

Transect separates reusable task/behavior specifications from judge settings and aligns events, token use, subagents and labels on a source-linked timeline.

Source findings

The case study analyzes an AI R&D evaluation producing almost thirteen million tokens.

The conclusion distinguishes reliability diagnostics from validity, which requires separate evidence such as independent expert annotations.

NUWA interpretation

NUWA interpretation: navigable provenance helps inspect a behavioral claim without itself proving the label correct.

Limits and contrary evidence

LLM scanners can overstate confidence and obscure uncertainty; the case study is not a validation across all scientific work.

Research and decision relevance

Model recommendation: preserve source-turn anchors, judge configuration and disagreement diagnostics with exported analyses.

Precise source locations

Source checking, extraction, editorial approval and replication are recorded separately. Methodology →

Institutions and roles

Cite and reuse

Cite the original publication for its findings. Cite this NUWA record separately for its explanation and retained snapshot.

Original publication · BibTeX
@misc{transect,
  title = {Transect: Retaining Observability for Long-Horizon LLM Agent Evaluations},
  url = {https://www.aisi.gov.uk/research/transect-retaining-observability-for-long-horizon-llm-agent-evaluations},
  year = {2026},
  date = {2026-10-07},
  version = {Source capture 2026-10-25},
  note = {Source capture 2026-10-25}
}
NUWA record · BibTeX
@misc{transect-nuwa,
  title = {Transect: Retaining Observability for Long-Horizon LLM Agent Evaluations — NUWA research record},
  url = {https://whitzard.tech/en/nuwa/whitzard-index/work/transect/},
  version = {2026-10-29.1},
  organization = {NUWA Frontier AI Safety Lab},
  howpublished = {Retained note edition: https://whitzard.tech/nuwa/whitzard-index/data/record-editions/2026-10-29.1--transect.json},
  note = {NUWA research note. Source-reading scope and independent review status are stated on the record. Snapshot 2026-10-29.1. Retained note edition: https://whitzard.tech/nuwa/whitzard-index/data/record-editions/2026-10-29.1--transect.json.}
}

Evidence snapshot 2026-10-29.1 · Index updates · RSS

References

  1. [1] Transect: Retaining Observability for Long-Horizon LLM Agent Evaluations. 2026-10-07 ; Official publication masthead and article byline; Abstract; §2.2 Design principles
  2. [2] Read the full paper