Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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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/pithtrain-a-compact-and-agent-native-moe-training-system
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 pithtrain-a-compact-and-agent-native-moe-training-system | Route /signal-canvas/pithtrain-a-compact-and-agent-native-moe-training-system
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/pithtrain-a-compact-and-agent-native-moe-training-systemMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "pithtrain-a-compact-and-agent-native-moe-training-system",
"query_text": "Summarize PithTrain: A Compact and Agent-Native MoE Training System"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "PithTrain: A Compact and Agent-Native MoE Training System",
"normalized_query": "2605.31463",
"route": "/signal-canvas/pithtrain-a-compact-and-agent-native-moe-training-system",
"paper_ref": "pithtrain-a-compact-and-agent-native-moe-training-system",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: PithTrain: A Compact and Agent-Native MoE Training System
PDF: https://arxiv.org/pdf/2605.31463v1
Repository: https://github.com/mlc-ai/pith-train
Source count: 4
Coverage: 67%
Last proof check: 2026-06-01T20:26:40.340Z
Signal Canvas receipt window
/buildability/pithtrain-a-compact-and-agent-native-moe-training-system
Subject: PithTrain: A Compact and Agent-Native MoE Training System
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Preparing verified analysis
Dimensions overall score 4.0
{"file name": "input.pdf", "number of pages": 24, "author": "Ruihang Lai; Hao Kang; Haozhan Tang; Akaash R. Parthasarathy; Zichun Yu; Junru Shao; Todd C. Mowry; Chenyan Xiong; Tianqi Chen"
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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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/pithtrain-a-compact-and-agent-native-moe-training-system
Paper ref
pithtrain-a-compact-and-agent-native-moe-training-system
arXiv id
2605.31463
Generated at
2026-06-01T20:26:40.340Z
Evidence freshness
stale
Last verification
2026-06-01T20:26:40.340Z
Sources
4
References
0
Coverage
67%
Lineage hash
367518fc652b3659a652694505ef83d68c2bd31a7344d5966b6db1c9f1738e8b
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 / 4 sources / Verification pending
references
proof_status