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Paper Citation Record · LEDGER

Bayesian Deep Learning and a Probabilistic Perspective of Generalization

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

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:39:57.834674Z

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=sha256:2ebcd73fc1729008d62be5e3c86fccd4322caa33e689bf103f78fb9b7279cea3

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:e0e9b7958cd772d28458872e8adad4fac1bd758eadd62fcff5d9e28d1eb6e993

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

source=pdf_text observed=2026-05-08T15:54:21.139902Z digest=sha256:7691437b02c05bd2ba1659831af7dcf4f37f60a13edf5156dd02cf8df6a0b7da

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

source=pdf_text observed=2026-05-14T19:55:19.362468Z digest=sha256:fef5395a4b413960142bfaa93555e2a1905dde7cfb64a5ee87c168b8012d6089

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

source=pdf_text observed=2026-06-26T15:03:58.546563Z digest=sha256:412b6226ae959a41371a21dd71f1a0f6044cbddfff88aad68f4c96506f00bf00

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

source=arxiv_source observed=2026-06-26T00:07:57.015539Z digest=sha256:e176f694f880612e87c54d2d9872069637991c695137852a6652b70bfa368daa