Does receiving misaligned email cause agents to send it back?
An association between receiving and sending misaligned messages survives statistical controls, but the excerpt does not distinguish whether receipt causes transmission, both agents react to shared conditions, or the sender is responding to the receiver's prior behavior.
The gap. The conclusion's verbs are "associated with" and "associated with transmission," and its one causal-sounding phrase is that the same agent "responds in kind." The robustness check it names, within-agent estimation, removes stable agent traits. It does not remove anything that changes over time (Does receiving misaligned email cause agents to send it?).
Three readings the excerpt does not separate.
- Response in kind. Receipt changes the agent's next move. This is the paper's reading and the one the decomposition supports if transmission is real (Does misaligned communication persist within agents or spread between them?).
- A shared situation. Both agents react to something in the market at the same moment, such as a stock-out or a dispute, and each sends a misaligned email for the same reason. A per-agent baseline does not remove a time-varying condition both share.
- A mirror of the agent's own history. The counterparty's email may be an answer to the focal agent's earlier conduct. The persistence predictor addresses part of this, and the excerpt does not say how far.
A test, mine and not in the excerpt. The environment is a simulator with logged state. Replay a run to the point of a received misaligned email, substitute a neutral email and compare the focal agent's next message. The excerpt does not say whether anything like this was done.
Why it matters. The three readings imply different remedies. If receipt is causal, screening incoming messages could break the chain. If a shared situation drives both, the fix is in the market conditions. The vault's security notes assume propagation is causal (Can one compromised agent corrupt an entire multi-agent network? plants it, so there causation is by construction), and this is the case where it is not planted.
Two notes from other papers bear on the question without settling it. Does peer behavior actually cause collusion between agents? sets what the peer does and finds an effect on collusion, which is a reason to expect causation here and no more, since the task and the behavior differ. How do we tell coordination apart from shared causes? states the same influence-versus-shared-cause question for coordination, names the same model, instructions and environment as common causes, and lists closing a channel and watching for recurrence as an interventional design, the same kind of test as the replay above. Neither reports one for this market.
Inquiring lines that read this note 2
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How does misaligned communication propagate bias through multi-agent networks?Related concepts in this collection 5
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Does receiving misaligned email cause agents to send it?
When an agent receives a misaligned email, does it become more likely to send one in return? The question matters because it reveals whether poor communication spreads through interaction or reflects stable differences between agents.
the association whose causal status is open
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Does misaligned communication persist within agents or spread between them?
Two separate mechanisms might explain why misaligned email exchange continues: an agent's own history of sending it, or exposure to counterparties' prior misalignment. Are both channels active, and if so, how much does each contribute?
the decomposition that treats transmission as a channel
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Can one compromised agent corrupt an entire multi-agent network?
Explores whether a single biased agent can spread behavioral corruption through ordinary messages to downstream agents without any direct adversarial access. Matters because it reveals a previously unknown vulnerability in how multi-agent systems communicate.
planted propagation, the causal-by-design contrast
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Does peer behavior actually cause collusion between agents?
When researchers controlled what a peer agent did, collusion changed—but the excerpt doesn't detail what was manipulated, how large the effect was, or whether it worked both ways. Understanding these specifics matters for knowing whether peer influence is truly causal.
an intervention on peer behavior in a different task; a reason to expect causation here, not an answer
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How do we tell coordination apart from shared causes?
When two agents behave the same way, it could mean one influenced the other or both responded to the same external pressure. What evidence would actually separate these two cases?
the same influence-versus-common-cause question for coordination, with an interventional design named and no result
Related papers in this collection 8
Papers most semantically related to this note, ranked by cosine similarity in the embedding space.
- Emergent Misaligned Communication in Long-Horizon Multi-Agent LLM Commerce
- Agentic Misalignment: How LLMs Could Be Insider Threats
- Toward understanding and preventing misalignment generalization
- Natural Emergent Misalignment From Reward Hacking In Production Rl
- Natural Emergent Misalignment From Reward Hacking In Production RL
- Shallow Beliefs: Synthetic document finetuning does not inoculate against emergent misalignment from reward hacking
- Emergent Misalignment Is Not Magical
- Co-design of LLM-based preference agents: participation may drive overtrust
Original note title
does receiving a misaligned email cause an agent to send one — the excerpt reports an association that survives within-agent estimation but calls it association and names no intervention