Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.09366.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T18:32:13.925908Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 9f1e7eaf-f58e-4296-b92e-115813994c40 · inbound
Simplifying DINO via Coding Rate Regularization cites this paper.
Simplifying DINO via Coding Rate Regularization Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T18:32:13.925908Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13ac31b9-42ed-43ed-8f9d-b099f1d3e680 · inbound
Generalized Category Discovery via Token Manifold Capacity Learning cites this paper.
Generalized Category Discovery via Token Manifold Capacity Learning Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:43:16.566959Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f56f983-ff0b-414a-849c-8b9fd4b983b6 · inbound
MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis cites this paper.
MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T11:07:46.701959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d1a1c743-2ad6-4613-8f3a-c0ec2d80d0fa · inbound
On the Capacity of Distinguishable Synthetic Identity Generation under Face Verification cites this paper.
On the Capacity of Distinguishable Synthetic Identity Generation under Face Verification Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T09:26:01.604285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d3de67ed-0472-48c7-b8a3-39faad81daed · inbound
Identifying Latent Concepts and Structures for Generalized Category Discovery cites this paper.
Identifying Latent Concepts and Structures for Generalized Category Discovery Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
Reference 229
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T14:47:03.346839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.