Bridging the Geometry Mismatch: Frequency-Aware Anisotropic Serialization for Thin-Structure SSMs

Bridging the Geometry Mismatch: Frequency-Aware Anisotropic Serialization for Thin-Structure SSMs | Signal Canvas | ScienceToStartup

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Signal Canvas proof surface

Canonical route: /signal-canvas/bridging-the-geometry-mismatch-frequency-aware-anisotropic-serialization-for-thin-structure-ssms

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-03-31
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 53
Source count: 3
Coverage: 50%

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 bridging-the-geometry-mismatch-frequency-aware-anisotropic-serialization-for-thin-structure-ssms | Route /signal-canvas/bridging-the-geometry-mismatch-frequency-aware-anisotropic-serialization-for-thin-structure-ssms

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/bridging-the-geometry-mismatch-frequency-aware-anisotropic-serialization-for-thin-structure-ssms

MCP example

{
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  "arguments": {
    "mode": "paper",
    "paper_ref": "bridging-the-geometry-mismatch-frequency-aware-anisotropic-serialization-for-thin-structure-ssms",
    "query_text": "Summarize Bridging the Geometry Mismatch: Frequency-Aware Anisotropic Serialization for Thin-Structure SSMs"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Bridging the Geometry Mismatch: Frequency-Aware Anisotropic Serialization for Thin-Structure SSMs",
  "normalized_query": "2603.28503",
  "route": "/signal-canvas/bridging-the-geometry-mismatch-frequency-aware-anisotropic-serialization-for-thin-structure-ssms",
  "paper_ref": "bridging-the-geometry-mismatch-frequency-aware-anisotropic-serialization-for-thin-structure-ssms",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 8

References: 53

Proof: Verification pending

Freshness state: computing

Source paper: Bridging the Geometry Mismatch: Frequency-Aware Anisotropic Serialization for Thin-Structure SSMs

PDF: https://arxiv.org/pdf/2603.28503v1

Source count: 3

Coverage: 50%

Last proof check: 2026-03-31T20:18:21.204Z

Signal Canvas receipt window

Watch and verify: Bridging the Geometry Mismatch: Frequency-Aware Anisotropic Serialization for Thin-Structure SSMs

/buildability/bridging-the-geometry-mismatch-frequency-aware-anisotropic-serialization-for-thin-structure-ssms

Watchwatch

Subject: Bridging the Geometry Mismatch: Frequency-Aware Anisotropic Serialization for Thin-Structure SSMs

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

Preparing verified analysis

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
Notably, it achieves 91.3% mIoU and 97.1% clDice on DeepCrack
Implicationpartial
Explicitly stated numeric result in the abstract.
Verificationpartial
partial
Evidencepartial
while running at 80 FPS with only 7.87 GFLOPs.
Implicationpartial
Explicitly stated numeric performance metric in the abstract.
Verificationpartial
partial
Evidencepartial
the Hilbert curve minimizes linearization distance, preserving 2D locality better than raster scans.
Implicationpartial
Directly described in the parsed sections with a specific method reference.
Verificationpartial
partial
Evidencepartial
This hybrid design reduces parameters by≈94%while retaining representational capacity.
Implicationpartial
Directly stated numeric reduction in the parsed analysis.
Verificationpartial
partial
Evidencepartial
Leveraging the Haar Discrete Wavelet Transform (DWT) as a geometric prior, we decompose features into a stable low-frequency structural support and directional high-frequency bands.
Implicationpartial
Core method component is explicitly and repeatedly stated in the abstract and parsed sections.
Verificationpartial
partial
Evidencepartial
ASGP addresses this by formulating detail injection as a conditional gating
Implicationpartial
Directly described in the parsed analysis as the motivation and function of the ASGP module.
Verificationpartial
partial
Evidencepartial
their isotropic serialization (e.g., raster scanning) creates a geometry mismatch for anisotropic targets, causing state propagation across rather than along the structure trajectories.
Implicationpartial
Core problem statement is explicitly made in the abstract.
Verificationpartial
partial
Evidencepartial
Since S is a fixed indexing operation, FA-Scan adds no learnable parameters and uses precomputed Hilbert indexing.
Implicationpartial
Explicitly stated in the parsed sections regarding parameter efficiency.
Verificationpartial
partial

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Bridging the Geometry Mismatch: Frequency-Aware Anisotropic Serialization for Thin-Structure SSMs

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