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Paper Citation Record · LEDGER

Bayesian Deep Learning and a Probabilistic Perspective of Generalization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2002.08791.

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

pith.paper-citation-record.v1
2002.08791 v4

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 2026-08-07T14:39:57.834674Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:49:58.539879Z

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 af64cf43-0cad-4e30-86e4-4939fa086c3f · inbound

Bayesian Deep Learning for Discrete Choice cites this paper.

Bayesian Deep Learning for Discrete Choice Bayesian Deep Learning and a Probabilistic Perspective of Generalization

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:57.834674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:39:57.834674Z digest=sha256:d1dedbde9b4b98a9fed94399fffeadd806d50b5e01fc5036c7b6db486794c026

Observation 9396c322-c360-4b59-8bda-a44b0e5fa836 · inbound

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings cites this paper.

Data Curation Matters: Model Collapse and Spurious Shift Performance Prediction from Training on Uncurated Text Embeddings Bayesian Deep Learning and a Probabilistic Perspective of Generalization

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T23:28:49.083756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:49.083756Z digest=sha256:571447c6bdcb15f4b661f243999634ae410720324ddab7300ad88923e5fa2c23

Observation f1fa76c0-697d-4591-ac5f-f455cc2c5b48 · inbound

Estimating Implicit Regularization in Deep Learning cites this paper.

Estimating Implicit Regularization in Deep Learning Bayesian Deep Learning and a Probabilistic Perspective of Generalization

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:26:13.052570Z

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=2026-05-08T15:54:21.139902Z digest=sha256:e4ee3e81067ae4eeb489a5f87586f0328a3b38406800e5723952292bee6e60a6

Observation f038ec09-35da-48a8-b56c-46bc56835194 · inbound

Chem-GMNet: A Sphere-Native Geometric Transformer for Molecular Property Prediction cites this paper.

Chem-GMNet: A Sphere-Native Geometric Transformer for Molecular Property Prediction Bayesian Deep Learning and a Probabilistic Perspective of Generalization

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:57:53.636910Z

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=2026-05-14T19:55:19.362468Z digest=sha256:4be4b6164640a695f19a455f5f780a52e1c6d4592f97e3abe07a18ef2c65e9b6

Observation 16e70d77-bb79-4757-b94f-b32d1c27b776 · inbound

Continuous-Time Probabilistic Correctors for Uncertainty-Aware Physics-Based Spacecraft Trajectory Forecasting cites this paper.

Continuous-Time Probabilistic Correctors for Uncertainty-Aware Physics-Based Spacecraft Trajectory Forecasting Bayesian Deep Learning and a Probabilistic Perspective of Generalization

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T05:59:37.542580Z

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=2026-06-26T15:03:58.546563Z digest=sha256:4fbf8f8a80b6b2cb54f8f2fbf68a34b442dae9b64cbde556148e2e3e2a067b5d

Observation 068d7afe-cc50-4ad6-ab69-fdb06b9fc337 · inbound

Geo-Strat-RL: Learning Geological Event Reasoning from Verifiable Tasks cites this paper.

Geo-Strat-RL: Learning Geological Event Reasoning from Verifiable Tasks Bayesian Deep Learning and a Probabilistic Perspective of Generalization

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:49:58.541287Z

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=2026-06-26T00:07:57.015539Z digest=sha256:0495dbe1502b5e50983646df6cf012cac9a0d2ab289269c85de8b773a913978b