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Paper Integrity Record · LEDGER

Scalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN

As of an unrecorded date, Pith completed 0 of 0 listed checks against arXiv:2406.12909. No listed check completed, so this record makes no findings claim.

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pith.integrity.v1
2406.12909 v4
pith:2024:4ESKQK7ULIPGIFP24UMPNOMX4Y

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