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Paper Citation Record · LEDGER

Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10

As of 23 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2608.05025.

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

pith.paper-citation-record.v1
2608.05025 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:40:19.992759Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

16 of 16 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fcb70e7f-caf5-4d66-ae75-c629da567af4 · outbound

This paper cites Your classifier is secretly an energy based model and you should treat it like one.

Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10 Your classifier is secretly an energy based model and you should treat it like one

Reference 1

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Unavailable: canonical work link unavailable.

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Observation aa41423a-7171-4788-bbff-d282d3be8a83 · outbound

This paper cites Bayesian learning via stochastic gradient Langevin dynam- ics.

Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10 Bayesian learning via stochastic gradient Langevin dynam- ics

Reference 2

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Source-reported events for the cited work

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Observation 98ae7b7c-e473-4275-8170-b0fa49ff1c94 · outbound

This paper cites Generative Modeling by Estimating Gradients of the Data Distribution.

Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10 Generative Modeling by Estimating Gradients of the Data Distribution

Reference 3

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Observation d9c8a6d3-335a-48e3-a1f5-a128e0aeca28 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10 Score-Based Generative Modeling through Stochastic Differential Equations

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b58c5187-f2f4-4b87-ad1d-42bc02c9b30d · outbound

This paper cites Implicit Generation and Modeling with Energy Based Models.

Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10 Implicit Generation and Modeling with Energy Based Models

Reference 5

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Source-reported events for the cited work

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Observation 50c88aa5-3da9-4245-a2eb-9c6adc0b6ffd · outbound

This paper cites Classifier-Free Guidance is a Predictor-Corrector.

Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10 Classifier-Free Guidance is a Predictor-Corrector

Reference 6

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Unavailable: canonical work link unavailable.

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Observation 45052304-8cda-4df3-b1a8-a112def856d3 · outbound

This paper cites Towards Bridging the Performance Gaps of Joint Energy- Based Models.

Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10 Towards Bridging the Performance Gaps of Joint Energy- Based Models

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9b04fa17-d039-4c84-945d-2e12ea7e8d95 · outbound

This paper cites Your Classifier Can Do More: Towards Balancing the Gaps in Classification, Robustness, and Generation.

Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10 Your Classifier Can Do More: Towards Balancing the Gaps in Classification, Robustness, and Generation

Reference 8

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Source-reported events for the cited work

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Observation 5cf89be4-c9e5-448e-b0ff-847c57a26c64 · outbound

This paper cites Scalable Energy-Based Models via Adversarial Training: Unifying Discrimination and Generation.

Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10 Scalable Energy-Based Models via Adversarial Training: Unifying Discrimination and Generation

Reference 9

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Unavailable: canonical work link unavailable.

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Observation 47002f78-7ea1-4ea0-8183-430ca86fefa5 · outbound

This paper cites Improving Ad- versarial Energy-Based Model via Diffusion Process.

Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10 Improving Ad- versarial Energy-Based Model via Diffusion Process

Reference 10

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Observation ecd4bf33-38b7-4188-8c1d-9b9dcdcd1f62 · outbound

This paper cites EGC: Image Generation and Clas- sification via a Diffusion Energy-Based Model.

Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10 EGC: Image Generation and Clas- sification via a Diffusion Energy-Based Model

Reference 11

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Source-reported events for the cited work

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Observation c2af6ea3-b488-4191-b228-fa5b3d11ab1e · outbound

This paper cites Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood.

Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10 Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6937aa78-be32-466d-a5e3-628e3c0c88ab · outbound

This paper cites Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo.

Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10 Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8fbdf2ea-9d15-471c-bf87-fd8f512c285c · outbound

This paper cites Do Deep Generative Models Know What They Don’t Know? In: International Confer- ence on Learning Representations; 2019.

Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10 Do Deep Generative Models Know What They Don’t Know? In: International Confer- ence on Learning Representations; 2019

Reference 14

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Observation 4ebfa710-26d7-4193-b184-9f29901aea9d · outbound

This paper cites Diffusion for Out-of-Distribution Detec- tion on Road Scenes and Beyond.

Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10 Diffusion for Out-of-Distribution Detec- tion on Road Scenes and Beyond

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 863e965b-d78d-4790-bbe9-76dacbbd09b2 · outbound

This paper cites Energy-based Out-of-distribution Detection.

Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10 Energy-based Out-of-distribution Detection

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.