Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.03537.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:42:57.450466Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T11:24:49.217429Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 5dbca8b8-035e-441e-9e4a-7582a20ad91e · inbound
Sparse Autoencoders, Again? cites this paper.
Sparse Autoencoders, Again? A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:42:57.450466Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a825ddb-b692-40f4-9836-c74df3d4d6dc · inbound
Estimating Dataset Dimension via Singular Metrics under the Manifold Hypothesis: Application to Inverse Problems cites this paper.
Estimating Dataset Dimension via Singular Metrics under the Manifold Hypothesis: Application to Inverse Problems A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models
Reference 2013
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:52:37.862387Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd6c39e2-66c8-4a3c-a1d9-3aa3fd0122a1 · inbound
Complexity of Quantum Trajectories cites this paper.
Complexity of Quantum Trajectories A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T11:24:49.219735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.