Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
Use This Via API or MCP
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Route this paper proof surface into REST, MCP, or developer workflows while preserving the same evidence receipt and related-resource context.
Page Freshness
Canonical route: /signal-canvas/ffr-forward-forward-learning-for-regression
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID ffr-forward-forward-learning-for-regression | Route /signal-canvas/ffr-forward-forward-learning-for-regression
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/ffr-forward-forward-learning-for-regressionMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "ffr-forward-forward-learning-for-regression",
"query_text": "Summarize FFR: Forward-Forward Learning for Regression"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "FFR: Forward-Forward Learning for Regression",
"normalized_query": "2606.03927",
"route": "/signal-canvas/ffr-forward-forward-learning-for-regression",
"paper_ref": "ffr-forward-forward-learning-for-regression",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: FFR: Forward-Forward Learning for Regression
PDF: https://arxiv.org/pdf/2606.03927v1
Source count: 3
Coverage: 50%
Last proof check: 2026-06-03T20:41:29.482Z
Signal Canvas receipt window
/buildability/ffr-forward-forward-learning-for-regression
Subject: FFR: Forward-Forward Learning for Regression
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
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.
Preparing verified analysis
Dimensions overall score 7.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 17, "author": "Xinyang Liu; Xuanyu Liang; Shiqi Ding; Boyang Li; Zhiqiang Que; Jiayang Li; Guosheng Hu", "title": "FFR: Forward-Forward Learning for Regression"
Implication not extracted yet.
partial
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Receipt path
/buildability/ffr-forward-forward-learning-for-regression
Paper ref
ffr-forward-forward-learning-for-regression
arXiv id
2606.03927
Generated at
2026-06-03T20:41:29.482Z
Evidence freshness
fresh
Last verification
2026-06-03T20:41:29.482Z
Sources
3
References
0
Coverage
50%
Lineage hash
086f1b79fdc6af675d3b00a3d2325b05777260f421027c303c1bdf45b6fb4ee8
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