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  3. DHFP-PE: Dual-Precision Hybrid Floating Point Processing Ele
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DHFP-PE: Dual-Precision Hybrid Floating Point Processing Element for AI Acceleration

Stale14d agoVerification pending / evidence receipt incomplete
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Viability
0.0/10

Compared to this week’s papers

Verification pending

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Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/dhfp-pe-dual-precision-hybrid-floating-point-processing-element-for-ai-acceleration

stale
Proof freshness
fresh
Proof status
unverified
Display score
3/10
Last proof check
2026-04-07
Score updated
2026-04-07
Score fresh until
2026-05-07
References
0
Source count
0
Coverage
0%

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

Agent Handoff

DHFP-PE: Dual-Precision Hybrid Floating Point Processing Element for AI Acceleration

Canonical ID dhfp-pe-dual-precision-hybrid-floating-point-processing-element-for-ai-acceleration | Route /signal-canvas/dhfp-pe-dual-precision-hybrid-floating-point-processing-element-for-ai-acceleration

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/dhfp-pe-dual-precision-hybrid-floating-point-processing-element-for-ai-acceleration

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "dhfp-pe-dual-precision-hybrid-floating-point-processing-element-for-ai-acceleration",
    "query_text": "Summarize DHFP-PE: Dual-Precision Hybrid Floating Point Processing Element for AI Acceleration"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "DHFP-PE: Dual-Precision Hybrid Floating Point Processing Element for AI Acceleration",
  "normalized_query": "2604.04507",
  "route": "/signal-canvas/dhfp-pe-dual-precision-hybrid-floating-point-processing-element-for-ai-acceleration",
  "paper_ref": "dhfp-pe-dual-precision-hybrid-floating-point-processing-element-for-ai-acceleration",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: DHFP-PE: Dual-Precision Hybrid Floating Point Processing Element for AI Acceleration

PDF: https://arxiv.org/pdf/2604.04507v1

Source count: Pending verification

Coverage: 0%

Last proof check: 2026-04-07T20:14:09.513Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

DHFP-PE: Dual-Precision Hybrid Floating Point Processing Element for AI Acceleration

Overall score: 3/10
Lineage: d97eded5d994…
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Canonical Paper Receipt

Last verification: 2026-04-07T20:14:09.513Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 0

Coverage: 0%

Missingness
  • - paper_evidence_receipts.references_count
  • - paper_evidence_receipts.coverage
Unknowns
  • - Canonical evidence receipt has not been materialized yet.

Mode Notes

  • Corpus mode searches the research corpus broadly.
  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

Preparing verified analysis

Dimensions overall score 3.0

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

No public claim map is available for this paper yet.

Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

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