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/memory-bound-but-not-bandwidth-limited-the-physical-ai-inference-gap-in-batch-1-llm-decode
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 memory-bound-but-not-bandwidth-limited-the-physical-ai-inference-gap-in-batch-1-llm-decode | Route /signal-canvas/memory-bound-but-not-bandwidth-limited-the-physical-ai-inference-gap-in-batch-1-llm-decode
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/memory-bound-but-not-bandwidth-limited-the-physical-ai-inference-gap-in-batch-1-llm-decodeMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "memory-bound-but-not-bandwidth-limited-the-physical-ai-inference-gap-in-batch-1-llm-decode",
"query_text": "Summarize Memory-Bound but Not Bandwidth-Limited: The Physical AI Inference Gap in Batch-1 LLM Decode"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Memory-Bound but Not Bandwidth-Limited: The Physical AI Inference Gap in Batch-1 LLM Decode",
"normalized_query": "2605.30571",
"route": "/signal-canvas/memory-bound-but-not-bandwidth-limited-the-physical-ai-inference-gap-in-batch-1-llm-decode",
"paper_ref": "memory-bound-but-not-bandwidth-limited-the-physical-ai-inference-gap-in-batch-1-llm-decode",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Memory-Bound but Not Bandwidth-Limited: The Physical AI Inference Gap in Batch-1 LLM Decode
PDF: https://arxiv.org/pdf/2605.30571v1
Source count: 3
Coverage: 50%
Last proof check: 2026-06-01T20:26:31.094Z
Signal Canvas receipt window
/buildability/memory-bound-but-not-bandwidth-limited-the-physical-ai-inference-gap-in-batch-1-llm-decode
Subject: Memory-Bound but Not Bandwidth-Limited: The Physical AI Inference Gap in Batch-1 LLM Decode
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Preparing verified analysis
Dimensions overall score 5.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 29, "author": "Josef Chen", "title": "Memory-Bound but Not Bandwidth-Limited: The Physical AI Inference Gap in Batch-1 LLM Decode", "creation date": null
Implication not extracted yet.
partial
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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/memory-bound-but-not-bandwidth-limited-the-physical-ai-inference-gap-in-batch-1-llm-decode
Paper ref
memory-bound-but-not-bandwidth-limited-the-physical-ai-inference-gap-in-batch-1-llm-decode
arXiv id
2605.30571
Generated at
2026-06-01T20:26:31.094Z
Evidence freshness
stale
Last verification
2026-06-01T20:26:31.094Z
Sources
3
References
0
Coverage
50%
Lineage hash
e59dd86e745088a1aef3c9312543b09e6a3b10d4d71ac56b9c5095004903b07f
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