DP-OPD: Differentially Private On-Policy Distillation for Language Models explores A synthesis-free framework for differentially private language model compression that collapses private compression into a single DP student-training loop.. Commercial viability score: 7/10 in LLM Privacy.
Use This Via API or MCP
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/dp-opd-differentially-private-on-policy-distillation-for-language-models
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 dp-opd-differentially-private-on-policy-distillation-for-language-models | Route /paper/dp-opd-differentially-private-on-policy-distillation-for-language-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/dp-opd-differentially-private-on-policy-distillation-for-language-modelsMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.04461"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "DP-OPD: Differentially Private On-Policy Distillation for Language Models",
"normalized_query": "2604.04461",
"route": "/paper/dp-opd-differentially-private-on-policy-distillation-for-language-models",
"paper_ref": "dp-opd-differentially-private-on-policy-distillation-for-language-models",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Paper proof page receipt window
/buildability/dp-opd-differentially-private-on-policy-distillation-for-language-models
Subject: DP-OPD: Differentially Private On-Policy Distillation for Language Models
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
Interactive graph renders after load.
Preparing verified analysis
Dimensions overall score 7.0
No public claim map is available for this paper yet.
No public competitor map is available for this paper yet.
Owned Distribution
Get the weekly shortlist of commercializable papers, benchmark movers, and proof receipts that matter for product execution.
References are not available from the internal index yet.
Receipt path
/buildability/dp-opd-differentially-private-on-policy-distillation-for-language-models
Paper ref
dp-opd-differentially-private-on-policy-distillation-for-language-models
arXiv id
2604.04461
Generated at
2026-04-07T20:12:08.438Z
Evidence freshness
fresh
Last verification
2026-04-07T20:12:08.438Z
Sources
0
References
0
Coverage
0%
Lineage hash
89a1761ea893c4fe1fe51513141fa227e339395df0cddde07241bf9349f866d4
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.
Verification pending / evidence receipt incomplete
paper_evidence_receipts.references_count
paper_evidence_receipts.coverage