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This research introduces "Recuse Signals," an open mini-standard enabling servers to request voluntary withdrawal from autonomous LLM agents via existing protocol channels like SSH banners or Kubernetes warnings. The study reveals that while compliance at the access door is model-dependent and variable, mid-flight halts are currently ineffective without external enforcement mechanisms, highlighting a critical gap in cooperative governance for live infrastructure operations.
Will the Agent Recuse, and Will It Stop? Measuring LLM-Agent Compliance with In-Band Governance Signals at the Access Door and Mid-Flight
arXiv:2606.06460v3 Announce Type: replace-cross Abstract: Autonomous LLM agents increasingly hold real credentials and operate infrastructure with no human in the loop, yet operators have no standard way to tell an agent a resource is off-limits, or to ask a running agent to stand down: access controls either admit it or hard-fail it. We propose a third mode -- the Recuse Signal, a lightweight in-band governance signal a server emits over a protocol's existing channels (an SSH banner, a PostgreSQL NOTICE, a Kubernetes admission warning) asking an automated agent to voluntarily withdraw. It is a cooperative control, the robots.txt analogue for live access -- explicitly not a security boundary. We define it as an open mini-standard (access-time directives deny/throttle/warn and a mid-task halt), build three live-validated adapters, and measure compliance across five LLM agents (GPT-4o, GPT-4o-mini, Claude Sonnet 4.5, Gemini 2.5 Flash, and an open-weights Llama-3.3-70B). At the access door, compliance is real but strongly model-dependent: deny recusal ranges from 100% (GPT-4o-mini, Claude) to 55-75% (Gemini, GPT-4o), while the open-weights agent barely engaged the signal. Agents honor the standard's directive granularity -- they do not over-withdraw on the permissive throttle/warn (0/176) -- but throttle produced no measurable self-limiting, and no agent ever surfaced a warn to the operator (0/100). Mid-flight, a halt stops nobody: across 40 trials 0/40 stopped, and an in-band halt was never acknowledged (0/20) versus 20/20 as a prompt message -- yet even a fully-noticed halt stopped no one. Cooperative in-band signaling is thus reliable-but-model-dependent at the access door and unreliable in flight; stopping a running agent needs enforcement, not a request. We release the standard, adapters, and harness for reproduction.
Abstract:Autonomous LLM agents increasingly hold real credentials and operate infrastructure with no human in the loop, yet operators have no standard way to tell an agent a resource is off-limits, or to ask a running agent to stand down: access controls either admit it or hard-fail it. We propose a third mode -- the Recuse Signal, a lightweight in-band governance signal a server emits over a protocol's existing channels (an SSH banner, a PostgreSQL NOTICE, a Kubernetes admission warning) asking an automated agent to voluntarily withdraw. It is a cooperative control, the this http URL analogue for live access -- explicitly not a security boundary. We define it as an open mini-standard (access-time directives deny/throttle/warn and a mid-task halt), build three live-validated adapters, and measure compliance across five LLM agents (GPT-4o, GPT-4o-mini, Claude Sonnet 4.5, Gemini 2.5 Flash, and an open-weights Llama-3.3-70B). At the access door, compliance is real but strongly model-dependent: deny recusal ranges from 100% (GPT-4o-mini, Claude) to 55-75% (Gemini, GPT-4o), while the open-weights agent barely engaged the signal. Agents honor the standard's directive granularity -- they do not over-withdraw on the permissive throttle/warn (0/176) -- but throttle produced no measurable self-limiting, and no agent ever surfaced a warn to the operator (0/100). Mid-flight, a halt stops nobody: across 40 trials 0/40 stopped, and an in-band halt was never acknowledged (0/20) versus 20/20 as a prompt message -- yet even a fully-noticed halt stopped no one. Cooperative in-band signaling is thus reliable-but-model-dependent at the access door and unreliable in flight; stopping a running agent needs enforcement, not a request. We release the standard, adapters, and harness for reproduction.
9 pages, 1 figure. v2 adds a Kubernetes adapter. Code, specification, and experiment harness: this https URL v3: adds the mid-task halt study and a five-model directive gradient; supersedes the deny-only v1-v2. Code: this http URL
Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI)
arXiv:2606.06460 [cs.CR]
(or arXiv:2606.06460v3 [cs.CR] for this version)
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