Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:18:57.988826Z
Paper Citation Record · LEDGER
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles
As of 17 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2505.13585.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
29 of 29 outbound references displayed
- verified exact2
- verified fuzzy8
- unresolved19
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1b9105ce-84fa-4c05-bbf4-836197f085e1 · outbound
This paper cites We train with SGD (momentum = 0.9 ) for a 25-epoch warm-up, then perform SW A weight averaging with 1 sample per epoch, at a fixedswa_lr = 0.0005.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles We train with SGD (momentum = 0.9 ) for a 25-epoch warm-up, then perform SW A weight averaging with 1 sample per epoch, at a fixedswa_lr = 0.0005
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:58.564294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 08f3accc-6178-4932-bc3f-bfac10e34849 · outbound
This paper cites Qwen2.5-VL Technical Report.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Qwen2.5-VL Technical Report
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:57.294472Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e22ae95c-ed92-4802-bd38-ec31f43c9364 · outbound
This paper cites an unresolved cited work.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:18:58.604260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation da6cf1dc-e569-400b-ad11-a9fa6d74aced · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:57.397573Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6c71f2f-9b65-4912-8ce0-e10135bf1eff · outbound
This paper cites Introduces Bernoulli-thinning (random inclusion) unbiased-likelihood estimators inside SMC.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Introduces Bernoulli-thinning (random inclusion) unbiased-likelihood estimators inside SMC
Reference 9
- Resolution
- verified exact
- doi, observed 2026-08-15T20:18:58.113276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3be8b1fc-652b-404e-b228-74d1a87f65cd · outbound
This paper cites Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:57.563922Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d209c6c7-bf68-4eca-9dc6-76ed88a0fb89 · outbound
This paper cites Yanping Huang et al.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Yanping Huang et al
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:57.573108Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ad12a97-c2fa-462a-9ebc-8b97ad81b515 · outbound
This paper cites Averaging weights leads to wider optima and better generalization.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Averaging weights leads to wider optima and better generalization
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:58.631276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5d726621-719e-4de9-8954-cf0df28bedd0 · outbound
This paper cites S-SMC∥ (P= 8 chain withN= 10 ), S-HMC∥ (NP chains), DE (N models) and MAP, with fixed number of leapfrog L= 1 ,B= 26 ,M= 2 , v= 1ands= 0.35(5realizations).
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles S-SMC∥ (P= 8 chain withN= 10 ), S-HMC∥ (NP chains), DE (N models) and MAP, with fixed number of leapfrog L= 1 ,B= 26 ,M= 2 , v= 1ands= 0.35(5realizations)
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:58.495728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f4d74b7e-b4ea-4245-a57a-82aaa2904984 · outbound
This paper cites Comparison of parallel SMC and MCMC for Bayesian deep learning.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Comparison of parallel SMC and MCMC for Bayesian deep learning
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T20:18:58.323489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 116a3a3c-ed00-45c0-8ecd-a0f275e11568 · outbound
This paper cites Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:57.698496Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa1e75a7-387a-44c0-8460-099bf607a3c3 · outbound
This paper cites Optimised annealed Sequential Monte Carlo samplers.arXiv preprint arXiv:2408.12057,.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Optimised annealed Sequential Monte Carlo samplers.arXiv preprint arXiv:2408.12057,
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:57.835169Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd0f6371-2dcd-4b1c-9c53-007150174d80 · outbound
This paper cites an unresolved cited work.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:18:58.618860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 816e7d02-d3c6-49cb-9f7c-d2d04921a113 · outbound
This paper cites an unresolved cited work.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:18:58.590749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1d8c7d90-8931-407c-8762-fce403063c3d · outbound
This paper cites tune away.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles tune away
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:58.577788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3d7a9179-bd38-4a51-82a5-011e5558425e · outbound
This paper cites The NN model and parameter prior for IMDb10 are built as follows • NN is followed by (i) no hidden layer, (ii) ReLU activation, (iii) a final linear layer, and (iv) softmax output.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles The NN model and parameter prior for IMDb10 are built as follows • NN is followed by (i) no hidden layer, (ii) ReLU activation, (iii) a final linear layer, and (iv) softmax output
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:58.550241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8b95a3f7-e8ed-4db5-a2fe-663ee1829779 · outbound
This paper cites Lorem ipsum.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Lorem ipsum
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:58.537665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fbb442e6-fea4-4e84-872c-9bb990584c23 · outbound
This paper cites not in CIFAR-10.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles not in CIFAR-10
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:58.524025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9bde3dba-dc15-4462-9cb8-e16568ed584b · outbound
This paper cites There are also unconnected AMD “Genoa” compute nodes, with 2×84-core AMD EPYC 9634 CPUs and 1.5TB RAM.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles There are also unconnected AMD “Genoa” compute nodes, with 2×84-core AMD EPYC 9634 CPUs and 1.5TB RAM
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:58.510150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9bcba7f0-598f-485e-aaaf-6d993553f284 · outbound
This paper cites Evaluating Bayesian deep learning for radio galaxy classification.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Evaluating Bayesian deep learning for radio galaxy classification
Reference 1953
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:57.692808Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1a4289d-cb09-4bf2-8756-9777ded81e1b · outbound
This paper cites Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning
Reference 1977
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:57.505961Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be5c0ff4-dd86-4a48-a33f-c371a1fa5449 · outbound
This paper cites Firefly Monte Carlo: Exact MCMC with Subsets of Data.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Firefly Monte Carlo: Exact MCMC with Subsets of Data
Reference 1992
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:57.687285Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51d7c0fd-3749-4309-87a0-76424eb74fbb · outbound
This paper cites GPT-NeoX-20B: An Open-Source Autoregressive Language Model.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles GPT-NeoX-20B: An Open-Source Autoregressive Language Model
Reference 2006
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:57.305920Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 859ee139-8d2e-4f49-a0f4-8e9af4dfd809 · outbound
This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Reference 2010
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:57.553720Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac1cd489-8dcc-41a8-923a-2ec47bb40c2a · outbound
This paper cites 9 Carlo Berzuini and Walter Gilks.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles 9 Carlo Berzuini and Walter Gilks
Reference 2014
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:57.299872Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 919db41f-e2bc-46fe-81c4-c064e45365c7 · outbound
This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:57.829653Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82b8ae33-40fe-40ee-b1dc-be8cb4b1b8b3 · outbound
This paper cites ZeRO: Memory Optimizations Toward Training Trillion Parameter Models.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:57.789232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4fb7dec9-0397-4fe8-a38a-64739827875a · outbound
This paper cites Probabilistic Artificial Intelligence.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Probabilistic Artificial Intelligence
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:57.677914Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 053af9d3-8d37-4a7a-8d6b-20c674a811d1 · outbound
This paper cites Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph.
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:57.840761Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.