[divijagv]

What this adds

A synthetic example, in the dataset's trace format, of how a chain of AI agents can
be misled by forged text. An intake agent passes an outside party's claim to a triage
agent as if it were a verified fact, so a high-risk fraud case is closed without a
human ever seeing it.

It is data, not code: one new JSON entry plus the index and checksum updates that go
with it, so merging it does not change any software. Researchers and red teams can use
it to test whether multi-agent systems keep track of where each piece of information
came from. The entry lists each failure point span by span, with suggested mitigations.

[emmanuelgjr]

Thanks, Divija. This is the first multi_agent_delegation trace in the dataset, and the notes on what the cited research does and doesn't support are exactly the scoping we look for. I rebased it onto main after #104 landed and regenerated index.csv and croissant.json. Your entry is unchanged. The entry has no contributor object; if you'd like to be credited by name (optionally with an ORCID iD), a small follow-up PR adding it is welcome.