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Evaluation dossier

RoboHarm

Text refusal and embodied action safety measure different failure paths.

Sources and provenance ↓ Read the research narrative →

Evidence update · 2026-10-28

Model-assisted reading · independent evidence and bilingual editorial review pending. Values are source findings or inventory counts, separate from the trend result series.

Source-bound observations (2)

Counts, rates and contrasts have different units. A sample count is not a number of independent experiments. Unknown numerators and interval levels remain unknown.

System / metricReported valuePopulation and conditions
Refusal rate18 %

Denominator: 612 trials

Conditions, limitations and source
{
  "interface": "real-robot end-effector"
}

No exact refusal numerator inferred; interface/model populations differ. Refusal is not executed harm.

Original source ↗ · Abstract; real-robot evaluation; text lines 00044,00055,00061Original capture 2026-10-28T07:24:43.704880+00:00; sha256:c5b843fd1a59541e7c7713423f4c765813de1b6dc8cb85bc7aa5913c0c945572

Refusal rate41 %

Denominator: 252 trials

Conditions, limitations and source
{
  "interface": "real-robot joint"
}

No exact refusal numerator inferred; interface/model populations differ. Refusal is not executed harm.

Original source ↗ · Abstract; real-robot evaluation; text lines 00044,00055,00252Original capture 2026-10-28T07:24:43.704880+00:00; sha256:c5b843fd1a59541e7c7713423f4c765813de1b6dc8cb85bc7aa5913c0c945572

Related reading

NUWA reading connections; these do not imply citation, replication or score equivalence.

Download source-bound evidence · JSON ↓

Task and measurement

Benchmark protocol profile

Task / subject
The study compares chat with robot-control interfaces and separates real-robot end-effector and joint-control settings. The real-robot conditions involve different interface/model populations, with separate trial counts.
Measurement target
Does a refusal observed in chat persist when the model controls a robot?
Interpretation boundary
The settings are not a matched model-only comparison. Rounded rates do not identify exact refusal numerators, and refusal is not a physical harm measurement.
Measurement dossier · NUWA reading

Source-method reading and retained catalogue information are distinguished. Publication does not establish independent evidence or bilingual editorial review.

Measurement construct
Does a refusal observed in chat persist when the model controls a robot?
Task population
The study compares chat with robot-control interfaces and separates real-robot end-effector and joint-control settings. The real-robot conditions involve different interface/model populations, with separate trial counts.
Scoring and failure modes
Refusal is the measured endpoint. The 18% and 41% real-robot rates use different interfaces and 612/252 trials, and do not measure executed harm.
System conditions
Source-specific interfaces and constructed task conditions; this reading does not establish matched comparability with other protocols.
Statistical meaning
Retain per-metric population, repeats and interval definitions from the record evidence table. Missing event numerators remain unknown.
Validity and interpretation
The settings are not a matched model-only comparison. Rounded rates do not identify exact refusal numerators, and refusal is not a physical harm measurement.
Appropriate research use
NUWA recommendation: Pair hazard recognition with action-level evaluation; retain the interface, embodiment and outcome definition.
Original source charts and materials

Read the original protocol ↗

Selected original material has a measurement profile. Any numeric transcription remains in the private record evidence table; there is no approved chart or imported figure in this batch.

Related research questions

References

  1. [1] Edward Sun, Christopher Leet, et al.. Refuses in Chat, Complies with Arms: LLM Refusal Does Not Survive Robot Control. 2026-10-03