This equation captures one of the core mathematical components of the system. Attributable to an unconstrained policy space (KL coefficient = 0.0), this trajectory
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A collaborative agent with two lightweight synergistic models for autonomous crystal materials research explores A collaborative AI agent system using two lightweight synergistic models to accelerate crystal materials research, outperforming larger models and reducing hardware barriers.. Commercial viability score: 7/10 in Materials Research AI.
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Page Freshness
Canonical route: /paper/a-collaborative-agent-with-two-lightweight-synergistic-models-for-autonomous-crystal-materials-research
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 a-collaborative-agent-with-two-lightweight-synergistic-models-for-autonomous-crystal-materials-research | Route /paper/a-collaborative-agent-with-two-lightweight-synergistic-models-for-autonomous-crystal-materials-research
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/a-collaborative-agent-with-two-lightweight-synergistic-models-for-autonomous-crystal-materials-researchMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.11540"
}
}source_context
{
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"mode": "paper",
"query": "A collaborative agent with two lightweight synergistic models for autonomous crystal materials research",
"normalized_query": "2604.11540",
"route": "/paper/a-collaborative-agent-with-two-lightweight-synergistic-models-for-autonomous-crystal-materials-research",
"paper_ref": "a-collaborative-agent-with-two-lightweight-synergistic-models-for-autonomous-crystal-materials-research",
"topic_slug": null,
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"dataset_ref": null
}Paper proof page receipt window
/buildability/a-collaborative-agent-with-two-lightweight-synergistic-models-for-autonomous-crystal-materials-research
Subject: A collaborative agent with two lightweight synergistic models for autonomous crystal materials research
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.
Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
Preparing verified analysis
Dimensions overall score 7.0
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Visual citation anchors from the paper document graph.
This equation captures one of the core mathematical components of the system. Attributable to an unconstrained policy space (KL coefficient = 0.0), this trajectory
Page and bbox are available; crop image is pending.
Owned Distribution
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References are not available from the internal index yet.
Receipt path
/buildability/a-collaborative-agent-with-two-lightweight-synergistic-models-for-autonomous-crystal-materials-research
Paper ref
a-collaborative-agent-with-two-lightweight-synergistic-models-for-autonomous-crystal-materials-research
arXiv id
2604.11540
Generated at
2026-04-14T16:48:54.177Z
Evidence freshness
stale
Last verification
2026-04-14T16:48:54.177Z
Sources
3
References
0
Coverage
50%
Lineage hash
2af6e00148f2cea2e36036e47d2ab3e77bcd3107183f38527e32ad9a6b0232aa
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
This equation captures one of the core mathematical components of the system. counterparts, leading the system to propose ternary M-V-S (M=Fe, Co, Ni) metal
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This equation captures one of the core mathematical components of the system. ๐ ๐ก๐๐ก๐๐= ๐ค1๐ ๐ก๐ข๐๐๐ + ๐ค2๐ ๐กโ๐๐๐+ ๐ค3๐ ๐๐๐๐๐๐ก+ ๐ค4๐ ๐ ๐ฆ๐๐ก๐๐ฅ where the hyperparameter weights are configured as ๐ค= {0.1, 0.3, 0.25,
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Research neighborhood
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