KAN-FIF: Spline-Parameterized Lightweight Physics-based Tropical Cyclone Estimation on Meteorological Satellite

KAN-FIF: Spline-Parameterized Lightweight Physics-based Tropical Cyclone Estimation on Meteorological Satellite | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/kan-fif-spline-parameterized-lightweight-physics-based-tropical-cyclone-estimation-on-meteorological-satellite

stale

Proof freshness: stale
Proof status: unverified
Display score: 8/10
Last proof check: 2026-03-19
Score updated: 2026-04-02
Score fresh until: 2026-05-02
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.

Agent Handoff

Canonical ID kan-fif-spline-parameterized-lightweight-physics-based-tropical-cyclone-estimation-on-meteorological-satellite | Route /signal-canvas/kan-fif-spline-parameterized-lightweight-physics-based-tropical-cyclone-estimation-on-meteorological-satellite

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/kan-fif-spline-parameterized-lightweight-physics-based-tropical-cyclone-estimation-on-meteorological-satellite

MCP example

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source_context

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  "query": "KAN-FIF: Spline-Parameterized Lightweight Physics-based Tropical Cyclone Estimation on Meteorological Satellite",
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Evidence Receipt

Route status: building

Claims: 8

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: KAN-FIF: Spline-Parameterized Lightweight Physics-based Tropical Cyclone Estimation on Meteorological Satellite

PDF: https://arxiv.org/pdf/2602.12117v1

Source count: Pending verification

Coverage: 33%

Last proof check: 2026-03-19T21:31:49.672Z

Signal Canvas receipt window

Watch and verify: KAN-FIF: Spline-Parameterized Lightweight Physics-based Tropical Cyclone Estimation on Meteorological Satellite

/buildability/kan-fif-spline-parameterized-lightweight-physics-based-tropical-cyclone-estimation-on-meteorological-satellite

Watchwatch

Subject: KAN-FIF: Spline-Parameterized Lightweight Physics-based Tropical Cyclone Estimation on Meteorological Satellite

Verdict

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Preparing verified analysis

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
achieves a $94.8\%$ reduction in parameters (0.99MB vs 19MB)
Implicationpartial
Explicitly stated in the abstract with specific numeric comparison (0.99MB vs 19MB).
Verificationpartial
partial
Evidencepartial
$68.7\%$ faster inference per sample (2.3ms vs 7.35ms)
Implicationpartial
Explicitly stated in the abstract with specific numeric comparison (2.3ms vs 7.35ms).
Verificationpartial
partial
Evidencepartial
maintaining superior accuracy with $32.5\%$ lower MAE
Implicationpartial
Explicitly stated in the abstract with specific numeric improvement.
Verificationpartial
partial
Evidencepartial
achieved a 14.41ms per-sample inference latency with the KAN-FIF framework
Implicationpartial
Explicitly stated in the abstract with specific numeric result from deployment experiment.
Verificationpartial
partial
Evidencepartial
Current physics-guided models suffer from linear feature interactions that fail to capture high-order polynomial relationships between TC attributes
Implicationpartial
Directly stated in the abstract as a limitation of existing methods.
Verificationpartial
partial
Evidencepartial
demonstrating promising feasibility for operational TC monitoring and extending deployability to edge-device AI applications
Implicationpartial
Directly stated in the abstract as a conclusion from the deployment experiment.
Verificationpartial
partial
Evidencepartial
Real-world satellite integration may face unforeseen compatibility issues
Implicationpartial
Explicitly mentioned in the analysis excerpt as a caveat, though not in the abstract.
Verificationpartial
partial
Evidencepartial
integrates MLP and CNN layers with spline-parameterized KAN layers
Implicationpartial
Directly stated in the abstract describing the method architecture.
Verificationpartial
partial

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KAN-FIF: Spline-Parameterized Lightweight Physics-based Tropical Cyclone Estimation on Meteorological Satellite

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