Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Page Freshness
Canonical route: /signal-canvas/late-layer-fusion-is-enough-dual-path-vision-token-routing-for-multimodal-large-language-models-under-visual-saturation
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID late-layer-fusion-is-enough-dual-path-vision-token-routing-for-multimodal-large-language-models-under-visual-saturation | Route /signal-canvas/late-layer-fusion-is-enough-dual-path-vision-token-routing-for-multimodal-large-language-models-under-visual-saturation
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/late-layer-fusion-is-enough-dual-path-vision-token-routing-for-multimodal-large-language-models-under-visual-saturationMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "late-layer-fusion-is-enough-dual-path-vision-token-routing-for-multimodal-large-language-models-under-visual-saturation",
"query_text": "Summarize Late-Layer Fusion is Enough: Dual-Path Vision Token Routing for Multimodal Large Language Models under Visual Saturation"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Late-Layer Fusion is Enough: Dual-Path Vision Token Routing for Multimodal Large Language Models under Visual Saturation",
"normalized_query": "2606.09131",
"route": "/signal-canvas/late-layer-fusion-is-enough-dual-path-vision-token-routing-for-multimodal-large-language-models-under-visual-saturation",
"paper_ref": "late-layer-fusion-is-enough-dual-path-vision-token-routing-for-multimodal-large-language-models-under-visual-saturation",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Late-Layer Fusion is Enough: Dual-Path Vision Token Routing for Multimodal Large Language Models under Visual Saturation
PDF: https://arxiv.org/pdf/2606.09131v1
Source count: 3
Coverage: 50%
Last proof check: 2026-06-09T03:26:10.011Z
Signal Canvas receipt window
/buildability/late-layer-fusion-is-enough-dual-path-vision-token-routing-for-multimodal-large-language-models-under-visual-saturation
Subject: Late-Layer Fusion is Enough: Dual-Path Vision Token Routing for Multimodal Large Language Models under Visual Saturation
Verdict
Ignore
Preparing verified analysis
Dimensions overall score 0.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 18, "author": "Siyuan Liu; Jinyang Wu", "title": "Late-Layer Fusion is Enough: Dual-Path Vision Token Routing for Multimodal Large Language Models under Visual Saturation"
Implication not extracted yet.
partial
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/late-layer-fusion-is-enough-dual-path-vision-token-routing-for-multimodal-large-language-models-under-visual-saturation
Paper ref
late-layer-fusion-is-enough-dual-path-vision-token-routing-for-multimodal-large-language-models-under-visual-saturation
arXiv id
2606.09131
Generated at
2026-06-09T03:26:10.011Z
Evidence freshness
fresh
Last verification
2026-06-09T03:26:10.011Z
Sources
3
References
0
Coverage
50%
Lineage hash
1f5e25ec7f5ac110d3a3c3082b4f7e8c38839db486e77674e8934ae7fe32ad0f
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Pending verification refs / 3 sources / Verification pending
repo_url
references