Thinking While Listening: Fast-Slow Recurrence for Long-Horizon Sequential Modeling

Thinking While Listening: Fast-Slow Recurrence for Long-Horizon Sequential Modeling | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/thinking-while-listening-fast-slow-recurrence-for-long-horizon-sequential-modeling

stale

Proof freshness: stale
Proof status: unverified
Display score: 3/10
Last proof check: 2026-04-03
Score updated: 2026-04-03
Score fresh until: 2026-05-03
References: 0
Source count: 0
Coverage: 33%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

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Canonical ID thinking-while-listening-fast-slow-recurrence-for-long-horizon-sequential-modeling | Route /signal-canvas/thinking-while-listening-fast-slow-recurrence-for-long-horizon-sequential-modeling

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curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/thinking-while-listening-fast-slow-recurrence-for-long-horizon-sequential-modeling

MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 7

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Thinking While Listening: Fast-Slow Recurrence for Long-Horizon Sequential Modeling

PDF: https://arxiv.org/pdf/2604.01577v1

Source count: Pending verification

Coverage: 33%

Last proof check: 2026-04-03T20:50:41.059Z

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Not build-ready: Thinking While Listening: Fast-Slow Recurrence for Long-Horizon Sequential Modeling

/buildability/thinking-while-listening-fast-slow-recurrence-for-long-horizon-sequential-modeling

Ignoreblocked

Subject: Thinking While Listening: Fast-Slow Recurrence for Long-Horizon Sequential Modeling

Verdict

Ignore

Verdict is Ignore because current viability and proof state do not clear the buildability gate.

Preparing verified analysis

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Strong 7Mixed 0Weak 0

Evidencepartial
By interleaving fast, recurrent latent updates with self-organizational ability between slow observation updates, our method facilitates the learning of stable internal structures that evolve alongside the input.
Implicationpartial
Directly and explicitly stated in the abstract as the core mechanism of the method.
Verificationpartial
partial
Evidencepartial
improving out-of-distribution generalization in reinforcement learning and algorithmic tasks compared to sequential baselines such as LSTM, state space models, and Transformer variants.
Implicationpartial
Directly stated in the abstract as a comparative result, though specific metrics are not provided.
Verificationpartial
partial
Evidencepartial
improving out-of-distribution generalization in reinforcement learning and algorithmic tasks compared to sequential baselines such as LSTM, state space models, and Transformer variants.
Implicationpartial
Directly stated in the abstract as a comparative result, though specific metrics are not provided.
Verificationpartial
partial
Evidencepartial
This mechanism allows the model to maintain coherent and clustered representations over long horizons
Implicationpartial
Directly stated in the abstract as a capability of the mechanism.
Verificationpartial
partial
Evidencepartial
We extend the recent latent recurrent modeling to sequential input streams.
Implicationpartial
Directly and explicitly stated as the paper's contribution in the first sentence of the abstract.
Verificationpartial
partial
Evidencepartial
fast, recurrent latent updates with self-organizational ability
Implicationpartial
Directly stated as a property of the fast updates in the abstract.
Verificationpartial
partial
Evidencepartial
improving out-of-distribution generalization in reinforcement learning and algorithmic tasks compared to sequential baselines such as LSTM, state space models, and Transformer variants.
Implicationpartial
Directly stated in the abstract as a comparative result, though specific metrics are not provided.
Verificationpartial
partial

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Thinking While Listening: Fast-Slow Recurrence for Long-Horizon Sequential Modeling

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