Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:45:36.616905Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2507.21198.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:45:36.616905Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
56 of 56 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Uncovering Gradient Inversion Risks in Practical Language Model Training Unresolved cited work
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Uncovering Gradient Inversion Risks in Practical Language Model Training Unresolved cited work
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Uncovering Gradient Inversion Risks in Practical Language Model Training Unresolved cited work
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Observation 534f0a0d-7eb5-41c4-8a22-1d95d03b80eb · outbound
Uncovering Gradient Inversion Risks in Practical Language Model Training Unresolved cited work
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Observation 17e9e1f8-a495-41f1-99e2-42f9ed917850 · outbound
Uncovering Gradient Inversion Risks in Practical Language Model Training Unresolved cited work
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Observation 4387c453-4289-48cf-938b-40a4adb309c4 · outbound
Uncovering Gradient Inversion Risks in Practical Language Model Training Unresolved cited work
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Observation fd4f3684-a894-4cbc-9526-eca0407e0c2e · outbound
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Uncovering Gradient Inversion Risks in Practical Language Model Training Improving neural networks by preventing co-adaptation of feature detectors
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Uncovering Gradient Inversion Risks in Practical Language Model Training Unresolved cited work
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Observation 6813f5ff-94b5-416b-ac9e-f6b33b98be28 · outbound
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Uncovering Gradient Inversion Risks in Practical Language Model Training Unresolved cited work
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Observation ffd4822a-c32a-423d-b2df-a9df1764154e · outbound
Uncovering Gradient Inversion Risks in Practical Language Model Training Unresolved cited work
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Observation 49e449b9-bb7c-4387-bbee-e3a10fad8144 · outbound
Uncovering Gradient Inversion Risks in Practical Language Model Training Unresolved cited work
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Uncovering Gradient Inversion Risks in Practical Language Model Training RoBERTa: A Robustly Optimized BERT Pretraining Approach
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Uncovering Gradient Inversion Risks in Practical Language Model Training Unresolved cited work
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Uncovering Gradient Inversion Risks in Practical Language Model Training Unresolved cited work
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Uncovering Gradient Inversion Risks in Practical Language Model Training Unresolved cited work
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Uncovering Gradient Inversion Risks in Practical Language Model Training Unresolved cited work
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Observation 6979f0d3-9592-47fa-9ea2-f12c89842986 · outbound
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Observation 07d12d4a-1e95-44ca-bd98-1bb4f4b78ef0 · outbound
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Reference 52
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Observation ecd0bf9b-c8f1-4acd-baa0-31d45eb83b0c · outbound
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Observation 701a94a3-0701-4005-a4fa-74193cdeacf1 · outbound
Uncovering Gradient Inversion Risks in Practical Language Model Training iDLG: Improved Deep Leakage from Gradients
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Observation e120d949-ac65-4439-803a-a403388b5241 · outbound
Uncovering Gradient Inversion Risks in Practical Language Model Training Unresolved cited work
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Observation 315c17b1-c878-4445-9465-7924a0f69fc9 · outbound
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No inbound Pith citation observations are available.