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Paper Citation Record · LEDGER

Topology and geometry of data manifold in deep learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2204.08624.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2204.08624 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:49:05.452733Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T02:59:25.611056Z

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 c07fde19-2e5a-41ba-a2b7-af7300d42330 · inbound

Self-Directed Task Identification cites this paper.

Self-Directed Task Identification Topology and geometry of data manifold in deep learning

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:43:19.033489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T21:40:16.017679Z digest=sha256:b488292d32858d9b0d856ae50f9383442ef4249ea1bbb06e75b675072abdaabb

Observation dd6edb8a-52f2-425e-8828-f2aecec7c17b · inbound

Pointwise Generalization in Deep Neural Networks cites this paper.

Pointwise Generalization in Deep Neural Networks Topology and geometry of data manifold in deep learning

Reference 122

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:38:16.931821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T12:34:28.962887Z digest=sha256:90ed80c1ba1100fa0db6f9196d38c31d49a1de678188c27557fd1ed208198017

Observation dd0d3a44-2e3e-4152-9e0e-4db9c0e7cc9a · inbound

Patnaik-Pearson intrinsic dimension for internal representations of neural networks cites this paper.

Patnaik-Pearson intrinsic dimension for internal representations of neural networks Topology and geometry of data manifold in deep learning

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-04T02:59:25.612640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T18:42:23.506693Z digest=sha256:a4a00eac693b8e3c7965e8747ad281718479f238d2cb81a26dffcf7579846d44

Observation fa93723a-c1c5-41fa-ac6d-b389a971fbe8 · inbound

Patnaik-Pearson intrinsic dimension for internal representations of neural networks cites this paper.

Patnaik-Pearson intrinsic dimension for internal representations of neural networks Topology and geometry of data manifold in deep learning

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:49:02.130719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-03T23:41:26.610335Z digest=sha256:fced543731088be95d9199e9e5ffcd66eeb580515a23130a565b406f1fb17611

Observation 791e83c9-eec2-4162-8a6f-981cde450f05 · inbound

Benign Overfitting Does Not Occur in Diffusion Models cites this paper.

Benign Overfitting Does Not Occur in Diffusion Models Topology and geometry of data manifold in deep learning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-12T07:49:39.894643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T07:49:39.894643Z digest=sha256:5e0e5968ae0edd9bb6a27e5714a77cbd799fe7fb8e0d35bbb2fb40491c64b2c3

Observation 1ac27d35-2c82-4f7b-9013-ed615f827330 · inbound

Complexity and Stability of Neural Activity Across Aging and Neurodegenerative Disease cites this paper.

Complexity and Stability of Neural Activity Across Aging and Neurodegenerative Disease Topology and geometry of data manifold in deep learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T21:49:05.452733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:49:05.452733Z digest=sha256:424b7a9994b0957a049dac9b9d9923363fc50d884a35221dd9c12cb082c5a03e