This equation defines the loss the model is optimizing during training. TIP: Token Importance in On-Policy Distillation
Page and bbox are available; crop image is pending.
TIP: Token Importance in On-Policy Distillation explores A novel method for on-policy knowledge distillation that significantly reduces memory usage and training time by intelligently selecting informative tokens, validated on multiple LLM architectures.. Commercial viability score: 7/10 in LLM Training.
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This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/tip-token-importance-in-on-policy-distillation
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 tip-token-importance-in-on-policy-distillation | Route /paper/tip-token-importance-in-on-policy-distillation
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/tip-token-importance-in-on-policy-distillationMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.14084"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "TIP: Token Importance in On-Policy Distillation",
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"paper_ref": "tip-token-importance-in-on-policy-distillation",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Paper proof page receipt window
/buildability/tip-token-importance-in-on-policy-distillation
Subject: TIP: Token Importance in On-Policy Distillation
Verdict
Build Now
Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
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.
Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
Research neighborhood
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Preparing verified analysis
Dimensions overall score 7.0
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Visual citation anchors from the paper document graph.
This equation defines the loss the model is optimizing during training. TIP: Token Importance in On-Policy Distillation
Page and bbox are available; crop image is pending.
This equation defines the score or evaluation function that determines model quality.
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References are not available from the internal index yet.
Receipt path
/buildability/tip-token-importance-in-on-policy-distillation
Paper ref
tip-token-importance-in-on-policy-distillation
arXiv id
2604.14084
Generated at
2026-04-16T18:18:54.010Z
Evidence freshness
stale
Last verification
2026-04-16T18:18:54.010Z
Sources
4
References
0
Coverage
67%
Lineage hash
5396e02f382f1d35437dff5161fcff263b15ec73b838aa83fc2f8b4d9f78903c
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
Page and bbox are available; crop image is pending.
This equation defines the score or evaluation function that determines model quality.
Page and bbox are available; crop image is pending.
No public competitor map is available for this paper yet.