Paper Citation Record · LEDGER

Heavy-Tailed Diffusion Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2410.14171.

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

pith.paper-citation-record.v1
2410.14171 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:42:27.553871Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T00:56:25.134661Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5265fa1e-5f6d-494f-8af0-65d0026aed22 · inbound

ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting cites this paper.

ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting Heavy-Tailed Diffusion Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T13:36:04.883253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b65795e4-72c4-4282-bfeb-70a1979aaa5b · inbound

Offline Reinforcement Learning with Penalized Action Noise Injection cites this paper.

Offline Reinforcement Learning with Penalized Action Noise Injection Heavy-Tailed Diffusion Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:34.311608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f29e638f-8a1b-43bb-8ea2-61ee5f7e353b · inbound

Markov Chain Decoders Overcome the Heavy-Tail Limitations of Lipschitz Generative Models cites this paper.

Markov Chain Decoders Overcome the Heavy-Tail Limitations of Lipschitz Generative Models Heavy-Tailed Diffusion Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-20T08:38:10.490299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2d068562-f968-4214-8aa8-fb0017c45c27 · inbound

Tail Annealing for Heavy-Tailed Flow Matching cites this paper.

Tail Annealing for Heavy-Tailed Flow Matching Heavy-Tailed Diffusion Models

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T03:48:02.616373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0d978c7e-9835-4309-824d-903e45c4cf9e · inbound

Tail Annealing for Heavy-Tailed Flow Matching cites this paper.

Tail Annealing for Heavy-Tailed Flow Matching Heavy-Tailed Diffusion Models

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T15:05:47.939221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 06e9d5ba-cf21-47dd-9805-2f59dfd13576 · inbound

Self-Regulating Annealing in Heavy-Tailed Diffusion Models cites this paper.

Self-Regulating Annealing in Heavy-Tailed Diffusion Models Heavy-Tailed Diffusion Models

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T00:56:25.137024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fb2469bb-98c0-4377-8567-0991891d04d6 · inbound

An Extreme Value Perspective on Learning Stress Laws cites this paper.

An Extreme Value Perspective on Learning Stress Laws Heavy-Tailed Diffusion Models

Reference 72

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:27.630410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88c84f2b-9e67-412b-92ce-55186d97fd15 · inbound

Diversify Diffusion with Temperature Sampling and Variance-Corrective Time Shifting cites this paper.

Diversify Diffusion with Temperature Sampling and Variance-Corrective Time Shifting Heavy-Tailed Diffusion Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T08:47:34.060973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 729329e4-abca-4209-84a0-461f4766b4c1 · inbound

Heavy-Tailed Flow Matching via Random Clocks cites this paper.

Heavy-Tailed Flow Matching via Random Clocks Heavy-Tailed Diffusion Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T03:38:45.114592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2933e68-8246-4490-b218-88dbe200c255 · inbound

Denoising Subordinated Probabilistic Models: Diffusion with a Tempered-Stable Volatility Clock, and What the Noise Mechanism Actually Controls cites this paper.

Denoising Subordinated Probabilistic Models: Diffusion with a Tempered-Stable Volatility Clock, and What the Noise Mechanism Actually Controls Heavy-Tailed Diffusion Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T13:15:19.794117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e78e911a-1f8d-40eb-b81c-359ba12563a7 · inbound

Perspectives on Tsallis Statistics for Artificial Intelligence cites this paper.

Perspectives on Tsallis Statistics for Artificial Intelligence Heavy-Tailed Diffusion Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T00:33:18.144751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9cb9cd3-58fb-47ae-bc8e-ebc74bfdd477 · inbound

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows cites this paper.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Heavy-Tailed Diffusion Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T00:42:27.553871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a16ace2b-8e4e-40f1-b2f8-f67485f631ad · inbound

Simulating Stress Laws under Extremal Dependence: Characterizing What Generative Models Must Preserve cites this paper.

Simulating Stress Laws under Extremal Dependence: Characterizing What Generative Models Must Preserve Heavy-Tailed Diffusion Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:23.317575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.