Paper Citation Record · LEDGER

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems

As of 12 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2411.14860.

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

pith.paper-citation-record.v1
2411.14860 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:52:36.439626Z

measured 15 of 15 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

15 of 15 outbound references displayed

verified exact0
verified fuzzy7
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 08e5dd52-54c6-41b5-82f2-f02b8d3a33a5 · outbound

This paper cites MCD is particularly relevant as it uses a q(w) form similar to Eq.

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems MCD is particularly relevant as it uses a q(w) form similar to Eq

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:36.894819Z

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 068379b6-6112-41e6-af67-8a853426979f · outbound

This paper cites Deep Ensembles for Low-Data Transfer Learning.

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems Deep Ensembles for Low-Data Transfer Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:36.280018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 550a46ac-d96f-47c7-9d2d-5b7856608bb7 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems LLaMA: Open and Efficient Foundation Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:36.308361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 710d6ecc-f13e-424f-b121-35ee7a0731d0 · outbound

This paper cites Ethical and social risks of harm from Language Models.

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems Ethical and social risks of harm from Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:36.332767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6624016e-22e8-4321-9dc4-03bbf0a7ac74 · outbound

This paper cites an unresolved cited work.

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:52:37.119911Z

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 0ea6964d-4b93-4457-bf6b-a49b6ff96743 · outbound

This paper cites URL https://www.aclweb.org/anthology/2020.

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems URL https://www.aclweb.org/anthology/2020

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:37.073055Z

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 0c7a0ade-1277-4edf-b3d0-777c13f2077d · outbound

This paper cites The evaluation of MMLU was conducted using the template provided in the official repository2, and the computation was based on a micro-average.

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems The evaluation of MMLU was conducted using the template provided in the official repository2, and the computation was based on a micro-average

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:36.975438Z

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 1b7440f0-62fa-403e-b46e-0bb4c9daa727 · outbound

This paper cites Table 5 summarizes our experimental results using the Adam optimizer (Kingma and Ba, 2015).

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems Table 5 summarizes our experimental results using the Adam optimizer (Kingma and Ba, 2015)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:36.939990Z

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 a2f5bafc-aa38-4c91-b3f5-07c65f017a79 · outbound

This paper cites The code is available at https://github.com/cs-giung/lpe-bsr.

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems The code is available at https://github.com/cs-giung/lpe-bsr

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:36.861135Z

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 f4579eb6-f22e-424f-8875-64e986482e6a · outbound

This paper cites Efforts to develop variational methods for implementing Bayesian inference on neural net- work models have continued over time (Graves, 2011; Blundell et al., 2015).

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems Efforts to develop variational methods for implementing Bayesian inference on neural net- work models have continued over time (Graves, 2011; Blundell et al., 2015)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:36.806257Z

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 2dd1da6a-b084-43bd-abf1-1efc52b93560 · outbound

This paper cites A Survey of Quantization Methods for Efficient Neural Network Inference.

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems A Survey of Quantization Methods for Efficient Neural Network Inference

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:36.262323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2998c862-ce12-4672-b857-cf6776250966 · outbound

This paper cites Why are bootstrapped deep ensembles not better? In ”I Can’t Believe It’s Not Better!” NeurIPS 2020 workshop,.

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems Why are bootstrapped deep ensembles not better? In ”I Can’t Believe It’s Not Better!” NeurIPS 2020 workshop,

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:37.158771Z

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 2f1d7f52-78b1-4120-9860-6806f61cd7c9 · outbound

This paper cites Deep Ensembles: A Loss Landscape Perspective.

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems Deep Ensembles: A Loss Landscape Perspective

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:36.253520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e4add5c-a2f7-4563-a2c4-771bb13737a9 · outbound

This paper cites an unresolved cited work.

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:52:37.037988Z

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 04223aba-8de8-4fc2-91f7-f755981f7cec · outbound

This paper cites Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks.

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:36.270209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.