Pith. sign in

Paper Citation Record · LEDGER

On the geometry of generalization and memorization in deep neural networks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2105.14602.

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

pith.paper-citation-record.v1
2105.14602 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:31:33.315106Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:24:45.253594Z

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 b3307f6e-6d51-4c76-b610-8ef0b223f49d · inbound

Improved Localized Machine Unlearning Through the Lens of Memorization cites this paper.

Improved Localized Machine Unlearning Through the Lens of Memorization On the geometry of generalization and memorization in deep neural networks

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-11T23:31:33.315106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:31:33.315106Z digest=sha256:bf20cf9d9e9c31521c11ae22d4f35297c6919aeda67e25b712f87c081c050005

Observation deba79b1-3bff-42df-949e-249409d78b80 · inbound

The Pitfalls of Memorization: When Memorization Hurts Generalization cites this paper.

The Pitfalls of Memorization: When Memorization Hurts Generalization On the geometry of generalization and memorization in deep neural networks

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T18:45:41.321190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:45:41.321190Z digest=sha256:090e52a619688da031465e86df5756de1894ba5039aa46770937613a4a1574d7

Observation 1e71a438-b545-48fd-8569-283aa66d6b3d · inbound

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models cites this paper.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models On the geometry of generalization and memorization in deep neural networks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T11:11:42.744531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:11:42.744531Z digest=sha256:0f8c5c8f2e2ae353e1462de66bbf791b5fc1590cce11d966c39a9852d64c14e2

Observation 255ef25c-80e4-4cbb-a0d4-5a4a8dcec433 · inbound

Emergent Manifold Separability during Reasoning in Large Language Models cites this paper.

Emergent Manifold Separability during Reasoning in Large Language Models On the geometry of generalization and memorization in deep neural networks

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:16:35.053136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T20:12:05.809065Z digest=sha256:123cde1f98e515d1062238dd006a3a217ea6844a80b046952a69cf959ce12a7d

Observation dc0731fd-1e76-4abb-a959-8da54eb9bf80 · inbound

Batch Normalization Amplifies Memorization and Privacy Risks cites this paper.

Batch Normalization Amplifies Memorization and Privacy Risks On the geometry of generalization and memorization in deep neural networks

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:24:45.255251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T14:16:36.855362Z digest=sha256:283541b2e3137c4a599ffea61aba11e6bb8c632d572a759e5383cafd5a4a26f9