Paper Citation Record · LEDGER

On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2102.11409.

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

pith.paper-citation-record.v1
2102.11409 v3

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 2026-08-20T06:33:59.587034+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:17:30.499460Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:10:09.242061Z

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 40fb9e89-2d14-4c92-bf45-15a938f6920e · inbound

Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation cites this paper.

Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-12T18:50:12.044153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61d922f6-9ebf-415d-a1da-1cde18991b0e · inbound

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles cites this paper.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T11:14:35.804695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1b9e9b1-0be4-45bc-8f5f-204810a344c5 · inbound

ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies cites this paper.

ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T15:44:34.975491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7eea91e-8721-47c6-80a7-0b9d36a90181 · inbound

Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective cites this paper.

Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T23:17:30.499460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cf3bb99-05af-4547-8fd3-c1533e203c01 · inbound

On Efficient Bayesian Exploration in Model-Based Reinforcement Learning cites this paper.

On Efficient Bayesian Exploration in Model-Based Reinforcement Learning On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-06T20:32:08.390877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 473bd11b-e2b0-4d19-ad1b-a1b2211aee6e · inbound

A Simple and Effective Method for Uncertainty Quantification and OOD Detection cites this paper.

A Simple and Effective Method for Uncertainty Quantification and OOD Detection On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T06:01:33.067620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a7d330e-f99f-40d9-aa9d-8b1d8a6c3a12 · inbound

Distance-informed Neural Processes cites this paper.

Distance-informed Neural Processes On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:10:09.247171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ad96d0f5-8368-4157-9d8b-74ef69bcc27a · inbound

Direct Bethe Free Energy Minimization for Bayesian Neural Networks cites this paper.

Direct Bethe Free Energy Minimization for Bayesian Neural Networks On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T17:17:01.091344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33b6badb-dd63-4226-9d8a-8157db216edf · inbound

Direct Bethe Free Energy Minimization for Bayesian Neural Networks cites this paper.

Direct Bethe Free Energy Minimization for Bayesian Neural Networks On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty

Reference 2001

Resolution: unresolved; no resolver link, observed 2026-08-02T14:38:38.788683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 368aa841-57d1-4a97-be3d-534a0b728726 · inbound

Metric Non-Collapse in Learned World Models for Control: Approximation Theory, Finite-Sample Geometric Guarantees, and Deterministic Planning Transfer cites this paper.

Metric Non-Collapse in Learned World Models for Control: Approximation Theory, Finite-Sample Geometric Guarantees, and Deterministic Planning Transfer On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T11:36:48.681101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.