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Paper Citation Record · LEDGER

Efficient Bayesian Deep Ensembles via Analytic Predictive Inference

As of 17 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.06776.

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

pith.paper-citation-record.v1
2607.06776 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T21:34:38.656196Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

13 of 13 outbound references displayed

  • verified exact9
  • verified fuzzy3
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22114e3a-8fcc-43ed-b1ae-8c4f901351b4 · outbound

This paper cites A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks.

Efficient Bayesian Deep Ensembles via Analytic Predictive Inference A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-10T21:37:42.022123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ae2d4724-e143-455b-bf83-ee07f3130d52 · outbound

This paper cites Deep Ensembles: A Loss Landscape Perspective.

Efficient Bayesian Deep Ensembles via Analytic Predictive Inference Deep Ensembles: A Loss Landscape Perspective

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-10T21:37:42.004110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-10T21:34:38.656196Z digest=sha256:785ee8233c2c2f22153f52324b9ac0a908b279c579d99ba0eece1474a5c22b67

Observation ab91c925-c543-488c-81d0-1f888c764c59 · outbound

This paper cites Variational Bayesian Last Layers.

Efficient Bayesian Deep Ensembles via Analytic Predictive Inference Variational Bayesian Last Layers

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-10T21:37:41.914902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-10T21:34:38.656196Z digest=sha256:a12f8af8529637b09c0e375bf82252641d31d75dc66291ddd2b98702e82937e6

Observation 70e448e9-2b7d-487c-a1fa-e349790cca30 · outbound

This paper cites Deep Neural Networks as Gaussian Processes.

Efficient Bayesian Deep Ensembles via Analytic Predictive Inference Deep Neural Networks as Gaussian Processes

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-10T21:37:41.986536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-10T21:34:38.656196Z digest=sha256:8abb12731d49d0f40452b13cd839eb2ef7b5a512407dfb679055ae805589fd2d

Observation 70efe3fb-0465-4298-9f63-70c83e4e1dee · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Efficient Bayesian Deep Ensembles via Analytic Predictive Inference Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-10T21:37:41.933250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-10T21:34:38.656196Z digest=sha256:e359d7b8e2bc0554b12060cf88a3a5bc384a5f009d323a82bf7f1206aa06bb1b

Observation 1d238fb8-3ace-44bc-a1ed-5eac85d9d0b1 · outbound

This paper cites A unifying view of sparse approximate gaussian process regression.Journal of machine learning research, 6(Dec):1939–1959,.

Efficient Bayesian Deep Ensembles via Analytic Predictive Inference A unifying view of sparse approximate gaussian process regression.Journal of machine learning research, 6(Dec):1939–1959,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T21:37:43.178491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-10T21:34:38.656196Z digest=sha256:cd0308a8086aa36acb78804b2da6ff6f182b7fef72ddc22fea8d6cb617fef083

Observation 9cfc3d8b-35b2-45a1-ab8b-9c7c9e95668a · outbound

This paper cites DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation.

Efficient Bayesian Deep Ensembles via Analytic Predictive Inference DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-10T21:37:42.039864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-10T21:34:38.656196Z digest=sha256:162c5c4346a83849f6dbdd3f4439c396e1a2aa12d52f2f9d168273e49ca6ef05

Observation f59da6f9-a7f8-4697-90a2-56837628ddc9 · outbound

This paper cites A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference.

Efficient Bayesian Deep Ensembles via Analytic Predictive Inference A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-07-10T21:37:42.058933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-10T21:34:38.656196Z digest=sha256:25c424966bd3ac05c9bdb445cdea2b29bc64a926961e1e32dab478471f669df2

Observation 3ecbe237-884d-40cc-a701-14b5a8bc0d15 · outbound

This paper cites Functional Variational Bayesian Neural Networks.

Efficient Bayesian Deep Ensembles via Analytic Predictive Inference Functional Variational Bayesian Neural Networks

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-10T21:37:41.968651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-10T21:34:38.656196Z digest=sha256:621c1079e7e237e9c187a86f0efa058a5afddccbf5cf4de5c2fd2a4b4b8ffd86

Observation 68864f3b-4bb3-45ca-ac0b-1e7fefd9933e · outbound

This paper cites How Good is the Bayes Posterior in Deep Neural Networks Really?.

Efficient Bayesian Deep Ensembles via Analytic Predictive Inference How Good is the Bayes Posterior in Deep Neural Networks Really?

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-10T21:37:41.950877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-10T21:34:38.656196Z digest=sha256:c8eb5771599fb2c92fa7bb380bda1b17b7555a69fecbed2aaa1e926581b709b4

Observation cbc9a8be-797e-4409-9b1f-3afcf424c8c5 · outbound

This paper cites Deep ensemble reinforcement learning with multiple deep deterministic policy gradient algorithm.Mathematical Problems in Engineering, 2020(1):4275623,.

Efficient Bayesian Deep Ensembles via Analytic Predictive Inference Deep ensemble reinforcement learning with multiple deep deterministic policy gradient algorithm.Mathematical Problems in Engineering, 2020(1):4275623,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T21:37:43.129539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-10T21:34:38.656196Z digest=sha256:cf9d3eb7e327a145b2a171094b9e218bf648312a3d92277f38121f1d2593fb53

Observation 30a54500-3de6-4801-9c2a-5fa350e34eb9 · outbound

This paper cites The log-likelihood ofσ 2 ε is ℓ(σ2 ε) =− N 2 logσ 2 ε − 1 2σ2ε ∥y−Φβ∥ 2 +C, whereCdenotes a constant independent ofσ 2 ε.

Efficient Bayesian Deep Ensembles via Analytic Predictive Inference The log-likelihood ofσ 2 ε is ℓ(σ2 ε) =− N 2 logσ 2 ε − 1 2σ2ε ∥y−Φβ∥ 2 +C, whereCdenotes a constant independent ofσ 2 ε

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T21:37:43.146194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-10T21:34:38.656196Z digest=sha256:89db067e2d7f97bf7f604030f2d791d6e73989f30b3ddd1005cff613c725f51a

Observation 0caeb583-bbd6-42c3-8e6a-2ea7b0ee6ce4 · outbound

This paper cites an unresolved cited work.

Efficient Bayesian Deep Ensembles via Analytic Predictive Inference Unresolved cited work

Reference 13

Resolution
malformed identifier
raw_fallback, observed 2026-07-10T21:37:43.161263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-10T21:34:38.656196Z digest=sha256:3cf5ad40b7cbd7974db3dcddd1fc3a1aaa78b6ac4041f300485b870d61b72c6a

Pith citing papers

No inbound Pith citation observations are available.