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Paper Citation Record · LEDGER

Topology and geometry of data manifold in deep learning

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T21:40:16.017679Z digest=sha256:b5e47b80be4e6255bde6183718bfd6eb421a0452360adc6336e4243a29c98126

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T12:34:28.962887Z digest=sha256:f82f0b0bee342d85017ab5966dea2426219149f6320043eb9f80b2aebd0a870c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T18:42:23.506693Z digest=sha256:cfead4a3fbdd1aed76d39642bac2050a8b5b66a197ad994bc0d25b6922eddfea

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T23:41:26.610335Z digest=sha256:0c463a34f770a245deb7a10dd428ec4b9ca768ec1f8d46bb6dbac956400e45a1

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=sha256:332df01adb6b96cb099882c002b773659b61ba7b83af8a3e4146aa8d1072f5bf

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=sha256:80575272f75e4b41e3232acbc1ed27f42f781e66c426bb8a5374adab988355d4