Paper Citation Record · LEDGER

Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data

As of 21 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.04647.

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

pith.paper-citation-record.v1
2607.04647 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T15:49:33.410214Z

measured 13 of 13 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

13 of 13 outbound references displayed

verified exact4
verified fuzzy0
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f074390-65ae-473e-acab-2a3d94c1c7b5 · outbound

This paper cites Safe, Scalable, and Accurate Bayes Posterior Sampling for Large-Data Generalized Linear Mixed Models.

Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data Safe, Scalable, and Accurate Bayes Posterior Sampling for Large-Data Generalized Linear Mixed Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T15:49:33.410214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8e102b1-2dd1-49e2-b0b0-2521a73a0c6d · outbound

This paper cites Scalable and Calibrated Sampling for Bayesian Generalized Linear Mixed Model via Stochastic Gradient Markov Chain Monte Carlo.

Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data Scalable and Calibrated Sampling for Bayesian Generalized Linear Mixed Model via Stochastic Gradient Markov Chain Monte Carlo

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T15:49:33.410214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 836ba775-9b7d-428c-b353-1260a5702e97 · outbound

This paper cites Yarin Gal and Zoubin Ghahramani.

Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data Yarin Gal and Zoubin Ghahramani

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T15:49:33.410214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68751164-ec22-4024-9d99-366174938d22 · outbound

This paper cites Jeffrey R.

Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data Jeffrey R

Reference 4

Resolution: verified exact; doi, observed 2026-07-11T15:58:05.984054Z

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 713ab297-4da1-4bb8-bf74-ee52fe7aa2ef · outbound

This paper cites Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, and Percy Liang.

Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, and Percy Liang

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T15:49:33.410214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ad0548d-7aed-4f30-9f2a-b8bc2ec0dba5 · outbound

This paper cites Uncertainty Quantification for Machine Learning in Healthcare: A Survey.

Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data Uncertainty Quantification for Machine Learning in Healthcare: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T15:49:33.410214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c44e635f-5341-4350-b68c-fbdb34f9f70a · outbound

This paper cites Gábor Pituk, Vik Shirvaikar, and Tom Rainforth.

Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data Gábor Pituk, Vik Shirvaikar, and Tom Rainforth

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T15:49:33.410214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd878dcc-7f2b-45bc-892e-73cd3c8a54a4 · outbound

This paper cites an unresolved cited work.

Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data Unresolved cited work

Reference 8

Resolution: verified exact; doi, observed 2026-07-11T15:58:05.995961Z

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 bb4435d0-feac-4c47-95b6-cab15d4b19d7 · outbound

This paper cites Giora Simchoni and Saharon Rosset.

Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data Giora Simchoni and Saharon Rosset

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-11T15:58:06.006738Z

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 5737b95c-6246-43a3-960f-231fea9b9501 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T15:49:33.410214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 554bf9be-2a8f-4cd3-8a96-2aa862df93a4 · outbound

This paper cites Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods.

Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T15:49:33.410214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baa56689-a4f8-4aca-b6d0-9b7bb488dc26 · outbound

This paper cites 11 A Proof of Proposition 3.1 We first restate the proposition from Section 3.2.

Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data 11 A Proof of Proposition 3.1 We first restate the proposition from Section 3.2

Reference 12

Resolution: verified exact; doi, observed 2026-07-11T15:58:05.991873Z

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 df9f6377-2807-4fe2-a37e-f33fd7375073 · outbound

This paper cites progression,.

Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data progression,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T15:49:33.410214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.