Risk Evaluation · Method
Transect: Retaining Observability for Long-Horizon LLM Agent Evaluations
NUWA research note · independent review pending
NUWA Research Note
Research questionDesign and assumptionsSource findingsNUWA interpretationLimits and contrary evidenceResearch and decision relevanceInstitutions and rolesOriginal resourcesModel-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
- Transect: Retaining Observability for Long-Horizon LLM Agent Evaluations · AbstractSelected original resource https://arxiv.org/html/2610.08364; sha256:15cf35ee7c1d3115d5dac5322b3352f66d9b2564d843dfac2b42e43cf09c6480; archived source capture; exact capture time not independently established
- Transect: Retaining Observability for Long-Horizon LLM Agent Evaluations · §2.2 Design principlesSelected original resource https://arxiv.org/html/2610.08364; sha256:15cf35ee7c1d3115d5dac5322b3352f66d9b2564d843dfac2b42e43cf09c6480; archived source capture; exact capture time not independently established
- Transect: Retaining Observability for Long-Horizon LLM Agent Evaluations · §3 Case Study: Reading an AI R&D Evaluation with TransectSelected original resource https://arxiv.org/html/2610.08364; sha256:15cf35ee7c1d3115d5dac5322b3352f66d9b2564d843dfac2b42e43cf09c6480; archived source capture; exact capture time not independently established
- Transect: Retaining Observability for Long-Horizon LLM Agent Evaluations · §4 ConclusionSelected original resource https://arxiv.org/html/2610.08364; sha256:15cf35ee7c1d3115d5dac5322b3352f66d9b2564d843dfac2b42e43cf09c6480; archived source capture; exact capture time not independently established
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] Transect: Retaining Observability for Long-Horizon LLM Agent Evaluations. 2026-10-07 ; Official publication masthead and article byline; Abstract; §2.2 Design principles
- [2] Read the full paper