FLIPS: Instance-Fingerprinting for LLMs via Pseudo-random Sequences

FLIPS: Instance-Fingerprinting for LLMs via Pseudo-random Sequences | Signal Canvas | ScienceToStartup

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Proof freshness: fresh
Proof status: unverified
Display score: 7/10
Last proof check: 2026-06-03
Score updated: 2026-06-03
Score fresh until: 2026-07-03
References: 0
Source count: 4
Coverage: 83%

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curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/flips-instance-fingerprinting-for-llms-via-pseudo-random-sequences

MCP example

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    "query_text": "Summarize FLIPS: Instance-Fingerprinting for LLMs via Pseudo-random Sequences"
  }
}

source_context

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  "paper_ref": "flips-instance-fingerprinting-for-llms-via-pseudo-random-sequences",
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  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 1

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: FLIPS: Instance-Fingerprinting for LLMs via Pseudo-random Sequences

PDF: https://arxiv.org/pdf/2606.03330v1

Repository: https://github.com/GurvanR/FLIPS-LLM-Instance-Fingerprinting

Source count: 4

Coverage: 83%

Last proof check: 2026-06-03T20:32:59.592Z

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FLIPS: Instance-Fingerprinting for LLMs via Pseudo-random Sequences

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