Paper Citation Record · LEDGER

Dynamic Learning Rate Decay for Stochastic Variational Inference

As of 21 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2412.15745.

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

pith.paper-citation-record.v1
2412.15745 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:12:50.600661Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

34 of 34 outbound references displayed

verified exact2
verified fuzzy18
unresolved12
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7d6b4389-2497-4329-a67c-b607bb4eaae2 · outbound

This paper cites Stochastic Variational Inference.

Dynamic Learning Rate Decay for Stochastic Variational Inference Stochastic Variational Inference

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:12:51.505714Z

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Observation 9f6153d8-b284-472d-b8b7-341a84a104f0 · outbound

This paper cites Variational Inference: A Review for Statisticians.

Dynamic Learning Rate Decay for Stochastic Variational Inference Variational Inference: A Review for Statisticians

Reference 2

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Observation 093103df-73cd-4abb-af9a-550e01d4f8c9 · outbound

This paper cites An Adaptive Learning Rate for Stochastic Variational Inference.

Dynamic Learning Rate Decay for Stochastic Variational Inference An Adaptive Learning Rate for Stochastic Variational Inference

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:12:51.488350Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a2bd296-bd06-4747-9749-848885b44393 · outbound

This paper cites Efficient BackProp.

Dynamic Learning Rate Decay for Stochastic Variational Inference Efficient BackProp

Reference 4

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Observation cb2ce782-779c-4b58-bab1-cabbdcfd3af3 · outbound

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Dynamic Learning Rate Decay for Stochastic Variational Inference Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:12:51.471586Z

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Observation 406cf1e9-194e-41b9-9b76-54a8f661a678 · outbound

This paper cites Adaptive Subgradient Methods for Online Learning and Stochastic Optimization.

Dynamic Learning Rate Decay for Stochastic Variational Inference Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:12:51.453643Z

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Observation 2d0cab58-f310-4f26-8dfa-5a7e7c8c6819 · outbound

This paper cites Tieleman and G.

Dynamic Learning Rate Decay for Stochastic Variational Inference Tieleman and G

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:12:51.437499Z

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Observation 25b50018-3b5a-4d53-9603-245781430e9e · outbound

This paper cites Natural Gradient Works Efficiently in Learning.

Dynamic Learning Rate Decay for Stochastic Variational Inference Natural Gradient Works Efficiently in Learning

Reference 8

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Observation 62fedb35-f612-404b-a585-92d5f66d8fa8 · outbound

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Dynamic Learning Rate Decay for Stochastic Variational Inference Unresolved cited work

Reference 9

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 00b146f4-da90-47fd-b193-8ee21742296d · outbound

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Dynamic Learning Rate Decay for Stochastic Variational Inference Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:12:51.399960Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 905c040b-797b-4565-8489-a304a57111ff · outbound

This paper cites A Stochastic Approximation Method.

Dynamic Learning Rate Decay for Stochastic Variational Inference A Stochastic Approximation Method

Reference 11

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Source-reported events for the cited work

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Observation d2f1f8e4-609b-4049-a40c-6d01512c437f · outbound

This paper cites Black Box Variational Inference.

Dynamic Learning Rate Decay for Stochastic Variational Inference Black Box Variational Inference

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:12:51.382881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dd10ff48-17f9-4f9c-a94d-2a8ed5140d12 · outbound

This paper cites Monte Carlo Gradient Estimation in Machine Learning.

Dynamic Learning Rate Decay for Stochastic Variational Inference Monte Carlo Gradient Estimation in Machine Learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:12:51.367517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 90e4d0c5-98d6-4dbb-bed1-bb369689a74e · outbound

This paper cites Rao-Blackwellisation of Sampling Schemes.

Dynamic Learning Rate Decay for Stochastic Variational Inference Rao-Blackwellisation of Sampling Schemes

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:12:51.350123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 83b3d024-bbd9-47dd-b054-d5fd06f2a576 · outbound

This paper cites an unresolved cited work.

Dynamic Learning Rate Decay for Stochastic Variational Inference Unresolved cited work

Reference 15

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Source-reported events for the cited work

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Observation 409495a4-09c1-4c88-bc4a-0a177fcb5ba3 · outbound

This paper cites Variational Bayesian inference with stochastic search.

Dynamic Learning Rate Decay for Stochastic Variational Inference Variational Bayesian inference with stochastic search

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:12:51.317506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fbd33f6f-bb0d-4cb8-a00d-1f0f21895df1 · outbound

This paper cites Auto-Encoding Variational Bayes.

Dynamic Learning Rate Decay for Stochastic Variational Inference Auto-Encoding Variational Bayes

Reference 17

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Source-reported events for the cited work

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Observation ed9e0e08-86d7-455b-9c46-c33d36851ad2 · outbound

This paper cites Variational Dropout and the Local Reparameterization Trick.

Dynamic Learning Rate Decay for Stochastic Variational Inference Variational Dropout and the Local Reparameterization Trick

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:12:51.296903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 20d7f035-afcd-4519-922f-0e274f8e588f · outbound

This paper cites Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference.

Dynamic Learning Rate Decay for Stochastic Variational Inference Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:12:51.276579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2e2976a0-6122-4470-b9b5-4c7a1a55dd9e · outbound

This paper cites ADADELTA: An Adaptive Learning Rate Method.

Dynamic Learning Rate Decay for Stochastic Variational Inference ADADELTA: An Adaptive Learning Rate Method

Reference 20

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Source-reported events for the cited work

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Observation aaee36ee-30b5-4c19-9925-803518f215b4 · outbound

This paper cites Wolberg, O.

Dynamic Learning Rate Decay for Stochastic Variational Inference Wolberg, O

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:12:51.257396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ed97fee5-143e-48b4-b05e-537a8173e43c · outbound

This paper cites Parallel MCMC with Generalized Elliptical Slice Sampling.

Dynamic Learning Rate Decay for Stochastic Variational Inference Parallel MCMC with Generalized Elliptical Slice Sampling

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:12:51.240181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 22c1079b-6275-4c82-ae2c-44293086a00b · outbound

This paper cites Optimization Methods for Large-Scale Machine Learning.

Dynamic Learning Rate Decay for Stochastic Variational Inference Optimization Methods for Large-Scale Machine Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T11:12:50.548103Z

Source-reported events for the cited work

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Observation c29a01a3-ed6b-45ed-aab2-7e04d2b7e830 · outbound

This paper cites Using Statistics to Automate Stochastic Optimization.

Dynamic Learning Rate Decay for Stochastic Variational Inference Using Statistics to Automate Stochastic Optimization

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:12:51.222073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b2f66449-7621-447f-aabf-fb3f6fc0d147 · outbound

This paper cites Zhang, H.

Dynamic Learning Rate Decay for Stochastic Variational Inference Zhang, H

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:12:51.203759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4717c917-dd35-4438-a0de-14bf690d7676 · outbound

This paper cites Efficient Gradient-Free Variational Inference using Policy Search.

Dynamic Learning Rate Decay for Stochastic Variational Inference Efficient Gradient-Free Variational Inference using Policy Search

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:12:51.186279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 522bffa0-5a99-40d0-a1e9-6577ccb001ea · outbound

This paper cites Machine learning techniques to diagnose breast cancer from image-processed nuclear features of fine needle aspirates.

Dynamic Learning Rate Decay for Stochastic Variational Inference Machine learning techniques to diagnose breast cancer from image-processed nuclear features of fine needle aspirates

Reference 27

Resolution: verified exact; doi, observed 2026-08-11T11:12:50.644285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0171abf5-bbc2-4d89-b4d3-4c858623fd58 · outbound

This paper cites Solving Bayesian Inverse Problems With Expensive Likelihoods Using Constrained Gaussian Processes and Active Learning.

Dynamic Learning Rate Decay for Stochastic Variational Inference Solving Bayesian Inverse Problems With Expensive Likelihoods Using Constrained Gaussian Processes and Active Learning

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:12:50.902676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f44f2da6-dbb6-4b28-8197-1bbcc5f0bf9a · outbound

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Dynamic Learning Rate Decay for Stochastic Variational Inference Unresolved cited work

Reference 29

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Source-reported events for the cited work

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Observation f931e2da-a0f5-4c83-8e56-f33e583edba8 · outbound

This paper cites Variational Inference with Normalizing Flows.

Dynamic Learning Rate Decay for Stochastic Variational Inference Variational Inference with Normalizing Flows

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:12:51.158683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 55972281-4cc1-4258-8cf2-3ea3a776e14b · outbound

This paper cites On the Importance of the Pearson Correlation Coefficient in Noise Reduction.

Dynamic Learning Rate Decay for Stochastic Variational Inference On the Importance of the Pearson Correlation Coefficient in Noise Reduction

Reference 31

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T11:12:50.878014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5719aeb0-b35c-490f-84c0-4bf6aed04e37 · outbound

This paper cites Thirteen Ways to Look at the Correlation Coefficient.

Dynamic Learning Rate Decay for Stochastic Variational Inference Thirteen Ways to Look at the Correlation Coefficient

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:12:51.141867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 95a11472-4e36-4019-9b65-9b33d66b9aa1 · outbound

This paper cites Brookes.The Matrix Reference Manual.

Dynamic Learning Rate Decay for Stochastic Variational Inference Brookes.The Matrix Reference Manual

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:12:51.125762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b45e86f2-0398-4207-ad90-b2a121718738 · outbound

This paper cites url: https://archive.ics.uci.edu/dataset/17.

Dynamic Learning Rate Decay for Stochastic Variational Inference url: https://archive.ics.uci.edu/dataset/17

Reference 1995

Resolution: unresolved; no resolver link, observed 2026-08-11T11:12:50.536848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.