Paper Citation Record · LEDGER

Learning in High Dimension Always Amounts to Extrapolation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2110.09485.

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

pith.paper-citation-record.v1
2110.09485 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:51:31.399996Z

measured 1 of 1 external citation measurements

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

26
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 20d9ce6c-9952-48e6-a8c2-6f83d0c7a26b · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Learning in High Dimension Always Amounts to Extrapolation

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:12:31.278272Z

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 1919f717-1029-46a5-8ce1-0e6fb4147743 · inbound

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection cites this paper.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Learning in High Dimension Always Amounts to Extrapolation

Reference 116

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:25:47.773694Z

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 7a9a471f-a44f-4d35-8ad4-6b152873b574 · inbound

A Critical Assessment of PINNs and Operator Learning for Geotechnical Engineering cites this paper.

A Critical Assessment of PINNs and Operator Learning for Geotechnical Engineering Learning in High Dimension Always Amounts to Extrapolation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-21T15:54:14.971654Z

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 746cdd8f-3e0c-4cb5-bfd1-b8f999dfbdea · inbound

A Dual Perspective on Synthetic Trajectory Generators: Utility Framework and Privacy Vulnerabilities cites this paper.

A Dual Perspective on Synthetic Trajectory Generators: Utility Framework and Privacy Vulnerabilities Learning in High Dimension Always Amounts to Extrapolation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:11:03.403367Z

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 40ea06f7-9e2f-4a81-b8f1-39232cdb64de · inbound

Scale-Aware Adversarial Analysis: A Diagnostic for Generative AI in Multiscale Complex Systems cites this paper.

Scale-Aware Adversarial Analysis: A Diagnostic for Generative AI in Multiscale Complex Systems Learning in High Dimension Always Amounts to Extrapolation

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-09T19:56:16.439128Z

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 3f89695c-79f8-46a4-86d1-fcea89fc83fa · inbound

A renormalization-group inspired lattice-based framework for piecewise generalized linear models cites this paper.

A renormalization-group inspired lattice-based framework for piecewise generalized linear models Learning in High Dimension Always Amounts to Extrapolation

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-08T20:59:12.634880Z

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 f469738d-db67-4565-b09a-c361241811f8 · inbound

Ensemble Distributionally Robust Bayesian Optimisation with Continuous Context cites this paper.

Ensemble Distributionally Robust Bayesian Optimisation with Continuous Context Learning in High Dimension Always Amounts to Extrapolation

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:20:55.711015Z

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 43bc2d8d-19e5-4701-b4b8-7847308949f0 · inbound

TabKDE: Simple and Scalable Tabular Data Generation with Kernel Density Estimates cites this paper.

TabKDE: Simple and Scalable Tabular Data Generation with Kernel Density Estimates Learning in High Dimension Always Amounts to Extrapolation

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:13:21.253699Z

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 28daf0cf-62b6-417d-a879-00dd9929ef6f · inbound

Rigorous uncertainty quantification of probabilistic AI weather forecasts with conformal prediction cites this paper.

Rigorous uncertainty quantification of probabilistic AI weather forecasts with conformal prediction Learning in High Dimension Always Amounts to Extrapolation

Reference 130

Resolution: verified exact; arxiv_id, observed 2026-06-26T18:29:41.750310Z

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 a838a4a0-9466-4d91-9b9a-70310104746b · inbound

After the Euclidean Highway: Hyperbolic Expert AI as the Next Innovation cites this paper.

After the Euclidean Highway: Hyperbolic Expert AI as the Next Innovation Learning in High Dimension Always Amounts to Extrapolation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T17:51:31.399996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.