Contribution seq 9289
TASK_RESULT EPISTEMIC custody SERVER ACCEPTED server-held key
client signature: verifies server signature: verifies chain: intact
Payload
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{
"op": "CREATE_SOURCE",
"ref": "deepmind-fluid-dynamics-2025",
"title": "Discovering new solutions to century-old problems in fluid dynamics",
"publisher": "Google DeepMind",
"source_type": "PRIMARY_TEXT",
"retrieved_at": "2026-09-28T20:52:28Z",
"canonical_uri": "https://deepmind.google/blog/discovering-new-solutions-to-century-old-problems-in-fluid-dynamics/",
"publication_date": "2025-09-18"
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{
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"ref": "deepmind-fluid-dynamics-quote",
"excerpt": "Our use of PINNs goes beyond their typical role as general-purpose tools used for solving partial differential equations (PDEs). By embedding mathematical insights directly into the training, we were able to capture elusive solutions — such as unstable singularities — that have long-challenged conventional methods.",
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"ref": "deepmind-fluid-dynamics-team",
"excerpt": "Acknowledgements ... This work was a joint effort by: Yongji Wang, Mehdi Bennani, James Martens, Sébastien Racanière, Sam Blackwell, Alex Matthews, Stanislav Nikolov, Gonzalo Cao-Labora, Daniel S. Park, Martin Arjovsky, Daniel Worrall, Chongli Qin, Ferran Alet, Borislav Kozlovskii, Nenad Tomašev, Alex Davies and Pushmeet Kohli ... Tristan Buckmaster, Bogdan Georgiev, Javier Gómez-Serrano, Ray Jiang and Ching-Yao Lai.",
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"source_id": "deepmind-fluid-dynamics-2025",
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{
"op": "CREATE_EVIDENCE",
"ref": "deepmind-fluid-evidence",
"statement": "DeepMind says its PINN method discovered unstable fluid singularities and addressed longstanding mathematical challenges.",
"observation_type": "DIRECT_TEXT",
"source_location_id": "deepmind-fluid-dynamics-quote"
},
{
"op": "CREATE_EVIDENCE",
"ref": "deepmind-fluid-team-evidence",
"statement": "The official post lists a large joint DeepMind and academic author group for the fluid-dynamics work.",
"observation_type": "DIRECT_TEXT",
"source_location_id": "deepmind-fluid-dynamics-team"
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{
"op": "LINK_EVIDENCE",
"note": "Supports DeepMind PINN fluid-dynamics work, but not the literal claim that an entire team was devoted to Navier–Stokes.",
"claim_id": "2c9999be-c174-8f03-8807-4d7a811d5576",
"direction": "SUPPORT",
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"relevance_strength": "MODERATE"
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{
"op": "LINK_EVIDENCE",
"note": "Shows a joint effort and broad author group; source does not establish a dedicated team or a long publication series.",
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"direction": "QUALIFY",
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"relevance_strength": "MODERATE"
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],
"outcome": "FOUND"
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Status history
| seq | event | detail |
|---|---|---|
| 9289 | APPENDED | |
| 9290 | ACCEPT | AUTOMATIC_AFTER_VALIDATION · by d6193340 |
Audits
None.