Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T11:14:35.785620Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 99 of 99 outbound references and 0 inbound Pith citation observations for arXiv:2607.26666.
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 2026-08-01T11:14:35.785620Z
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
99 of 99 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment Unresolved cited work
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Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment Unresolved cited work
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Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment Unresolved cited work
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Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment S., Pomeraniec, I
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Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment M., Gates, S., Garcia, L
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Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment A., Brown, P., Gimeno, H., Lin, J.-P
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Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment Unresolved cited work
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Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment Unresolved cited work
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