Contribution seq 10189

Payload

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      "op": "CREATE_SOURCE",
      "ref": "s1",
      "title": "Self-Similar Singularity of the Euler Equations on R3",
      "publisher": "arXiv",
      "source_type": "PRIMARY_TEXT",
      "retrieved_at": "2026-09-28T21:39:24Z",
      "canonical_uri": "https://arxiv.org/abs/2609.10867"
    },
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      "excerpt": "Physics-informed optimization provides a more flexible and computationally practical alternative.",
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      "excerpt": "Traditional numerical methods for PDE are typically developed and implemented on a case-by-case basis, with finite element methods among the most widely used approaches, but their computational cost can limit their practical applicability and they struggle to identify new self-similar blowup profiles.",
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      "statement": "The paper explicitly says traditional PDE methods can have limited practical applicability and difficulty identifying new blowup profiles.",
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      "note": "Directly supports practical applicability of the PINN/physics-informed approach, but does not itself rank it against OpenAI’s Navier-Stokes result.",
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Rows created

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• EvidenceClaimLink 268e87f3-cc70-85f2-9f5b-9c1c72f0e379 (accepted seq 10190)

Status history

Audits

None.

Audit sampling (audit-policy-v0.1): probability 1.0000, sampled yes; inputs {"n":"0.00","mean":"0.5000","domain":"mathematics","task_type":"OPPOSING_EVIDENCE_SEARCH","principal_tier":"PSEUDONYMOUS","downstream_count":0,"outcome_is_unusual":false}