Paper Citation Record · LEDGER

Bayesian Active Learning By Distribution Disagreement

As of 12 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2501.01248.

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

pith.paper-citation-record.v1
2501.01248 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:36:41.470003Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact0
verified fuzzy13
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 03f913aa-6b80-4ffa-b558-bc69cf8bd9e9 · outbound

This paper cites Escaping the sample trap: Fast and accurate epistemic uncertainty estimation with pairwise-distance estimators.

Bayesian Active Learning By Distribution Disagreement Escaping the sample trap: Fast and accurate epistemic uncertainty estimation with pairwise-distance estimators

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T22:36:41.361149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2071bd24-50b0-4f68-9bb1-c96e13d22323 · outbound

This paper cites Normalizing flow ensembles for rich aleatoric and epistemic uncertainty model- ing.

Bayesian Active Learning By Distribution Disagreement Normalizing flow ensembles for rich aleatoric and epistemic uncertainty model- ing

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:36:41.916957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8f6653c2-95e0-47b9-8700-e629941051ec · outbound

This paper cites Sequential graph convolutional network for active learning.

Bayesian Active Learning By Distribution Disagreement Sequential graph convolutional network for active learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:36:41.901534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 67bdc7a3-7d8b-4fc3-91c4-f25fdde14f42 · outbound

This paper cites Neural spline flows.

Bayesian Active Learning By Distribution Disagreement Neural spline flows

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T22:36:41.377643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60f25a90-2fc8-4b03-8afc-97124cbd7f36 · outbound

This paper cites Sarcos Data.

Bayesian Active Learning By Distribution Disagreement Sarcos Data

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:36:41.873729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7a08f384-29ea-469e-93cd-7d0bc99ce178 · outbound

This paper cites DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks.

Bayesian Active Learning By Distribution Disagreement DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T22:36:41.389554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59020a6b-6000-4d86-be69-b65f00f12b85 · outbound

This paper cites Deep bayesian active learning with image data.

Bayesian Active Learning By Distribution Disagreement Deep bayesian active learning with image data

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:36:41.856552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c93f7bc4-30c5-4c1e-882d-4aa61b1cb47d · outbound

This paper cites Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets.

Bayesian Active Learning By Distribution Disagreement Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T22:36:41.400773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6786a7e-b4b8-4a4f-a92d-cbc511f240ec · outbound

This paper cites Superconductivty Data.

Bayesian Active Learning By Distribution Disagreement Superconductivty Data

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T22:36:41.405812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a30aa93-1abd-4d2b-a57d-8427311fb45e · outbound

This paper cites Randomness is the root of all evil: More reliable evaluation of deep active learning.

Bayesian Active Learning By Distribution Disagreement Randomness is the root of all evil: More reliable evaluation of deep active learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:36:41.840280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ffa21bb0-8c2b-49cd-a0b4-793134533504 · outbound

This paper cites Regression tree-based active learning.

Bayesian Active Learning By Distribution Disagreement Regression tree-based active learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:36:41.823611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 60204523-7dee-429b-ae0f-f7b9e00dbf69 · outbound

This paper cites Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning.

Bayesian Active Learning By Distribution Disagreement Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:36:41.808878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e6a1ce3f-b539-4034-a4db-4b8e4fc3ce91 · outbound

This paper cites Navigating the pitfalls of active learning evaluation: A systematic framework for meaningful performance assessment.

Bayesian Active Learning By Distribution Disagreement Navigating the pitfalls of active learning evaluation: A systematic framework for meaningful performance assessment

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:36:41.792698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9632cb94-ba2f-47aa-8943-e386c5ace53a · outbound

This paper cites Hyperparameter tuning mlp’s for probabilistic time series forecasting.

Bayesian Active Learning By Distribution Disagreement Hyperparameter tuning mlp’s for probabilistic time series forecasting

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:36:41.776680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9d1605d3-b0a4-43b6-a9de-4330deebcc48 · outbound

This paper cites Diamonds Data.

Bayesian Active Learning By Distribution Disagreement Diamonds Data

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:36:41.759562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9e548f73-de6c-4468-879f-9edefb40066a · outbound

This paper cites Masked autoregressive flow for density estimation.

Bayesian Active Learning By Distribution Disagreement Masked autoregressive flow for density estimation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:36:41.445366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25e496e4-6bd6-4b88-b5f8-ca9c7666ac63 · outbound

This paper cites Ac- tiveglae: A benchmark for deep active learning with transformers.

Bayesian Active Learning By Distribution Disagreement Ac- tiveglae: A benchmark for deep active learning with transformers

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:36:41.732470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b313b96f-e55a-426f-8c9e-a53efb463433 · outbound

This paper cites Bayesian active learning with fully bayesian gaussian processes.

Bayesian Active Learning By Distribution Disagreement Bayesian active learning with fully bayesian gaussian processes

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:36:41.716495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4f2ad1bf-07ba-4f13-a8c6-2af3c1624b44 · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

Bayesian Active Learning By Distribution Disagreement Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T22:36:41.459811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35b0179a-c677-414d-9d80-27446543cf46 · outbound

This paper cites Parkinsons Telemonitoring.

Bayesian Active Learning By Distribution Disagreement Parkinsons Telemonitoring

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T22:36:41.465220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dd33a1a-0c50-4e1c-954b-8ca763d9d510 · outbound

This paper cites A cross-domain benchmark for active learning, 2024.

Bayesian Active Learning By Distribution Disagreement A cross-domain benchmark for active learning, 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:36:41.699858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.