Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2608.11544.

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

pith.paper-citation-record.v1
2608.11544 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:42:27.576099Z

measured 37 of 37 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

37 of 37 outbound references displayed

verified exact2
verified fuzzy17
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3968a333-d910-4ab9-bdb3-1532ebd19c3b · outbound

This paper cites Expected Shortfall as a Tool for Financial Risk Management.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Expected Shortfall as a Tool for Financial Risk Management

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:42:27.719181Z

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 a9e1a2f5-b2db-4b05-8d4c-7579a5eade98 · outbound

This paper cites Portfolio Optimization with Spectral Measures of Risk.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Portfolio Optimization with Spectral Measures of Risk

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T00:42:27.447298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eed225f1-5625-4265-a049-74d0c3646d0f · outbound

This paper cites Albrecher and S.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Albrecher and S

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:28.029694Z

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 93e8899a-fdd6-4e7a-80af-947bfb6c32cb · outbound

This paper cites Allouche, S.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Allouche, S

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:28.020051Z

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 b0e01955-06a6-428f-ad14-37de2a8dc1c3 · outbound

This paper cites Allouche, S.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Allouche, S

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:28.010717Z

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 16586b41-4069-4662-b552-f597b6fcb9ad · outbound

This paper cites Bhatia, A.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Bhatia, A

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:28.000625Z

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 eafc620e-d020-4cbf-8898-5242a2b3bb8b · outbound

This paper cites Birrell, P.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Birrell, P

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:27.991447Z

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 3deb51ab-6fc8-4ff4-8750-b5b8dac415cb · outbound

This paper cites Chaudhary, U.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Chaudhary, U

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:27.982189Z

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 61559363-7b75-4d10-bf9a-af5269edd129 · outbound

This paper cites an unresolved cited work.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:42:27.973114Z

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 901ed09c-524f-4811-a508-d508941b8b3f · outbound

This paper cites Cirillo and N.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Cirillo and N

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:27.963379Z

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 f4e1be8a-f2e5-4ac7-8dbe-8a5e181b7f90 · outbound

This paper cites an unresolved cited work.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:42:27.953999Z

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 7ab16f44-0be2-4e93-aa74-21cda3219025 · outbound

This paper cites an unresolved cited work.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:42:27.944576Z

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 cf8e2839-e0a9-45c2-b080-cfcb4e042857 · outbound

This paper cites De Santi, M.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows De Santi, M

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:27.934840Z

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 def9684f-6d60-436a-868b-eafb8784b98c · outbound

This paper cites Dupuis and Y.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Dupuis and Y

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:27.924925Z

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 b1ae897b-5679-4917-90dd-2ad85c438328 · outbound

This paper cites Embrechts and N.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Embrechts and N

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:27.915658Z

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 00b35a4a-bdb0-4ac2-ba59-3aa2fa3d7b66 · outbound

This paper cites an unresolved cited work.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:42:27.905023Z

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 9808b048-38ad-41b0-bd16-8a24e94c2f4d · outbound

This paper cites Grossi, H.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Grossi, H

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:27.894868Z

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 2297e496-e21c-4c84-b213-34a17665a29b · outbound

This paper cites an unresolved cited work.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:42:27.884673Z

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 1737f812-bf87-47b9-848f-30447cc0e0be · outbound

This paper cites an unresolved cited work.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:42:27.873971Z

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 3f97409d-76f6-4eb2-8460-2e8c5d9ec8be · outbound

This paper cites Flexible Tails for Normalizing Flows.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Flexible Tails for Normalizing Flows

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T00:42:27.514289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f82257a0-5c53-47a3-85e0-26cd542715ec · outbound

This paper cites an unresolved cited work.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:42:27.863219Z

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 b99a73bd-56b5-4d12-97f4-79414c131824 · outbound

This paper cites Huster, J.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Huster, J

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:27.852533Z

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 c5dfb1c3-ca98-448e-9cca-d647ed7590e6 · outbound

This paper cites Jaini, I.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Jaini, I

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:27.841292Z

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 5cb96e78-5040-4425-96c3-476b6c5b475d · outbound

This paper cites Jordan, D.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Jordan, D

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:27.830476Z

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 27853d75-3d09-4363-b367-318e1d365454 · outbound

This paper cites an unresolved cited work.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:42:27.820330Z

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 8f63c0f2-0e9f-40e2-8cc2-318b02222957 · outbound

This paper cites an unresolved cited work.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:42:27.810694Z

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 c1dfe4db-1cf6-40d7-8402-ebcf5a3e4f07 · outbound

This paper cites an unresolved cited work.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:42:27.800307Z

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 7ecb92c6-c501-41e7-a854-d96ece9674ee · outbound

This paper cites Spectral Normalization for Generative Adversarial Networks.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Spectral Normalization for Generative Adversarial Networks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T00:42:27.543110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e18dc7cd-7055-4a36-90e3-4cced665f7ee · outbound

This paper cites an unresolved cited work.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T00:42:27.547218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c1c0c6e-4706-4229-a1fd-22c212883d15 · outbound

This paper cites an unresolved cited work.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:42:27.784086Z

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 d9cb9cd3-58fb-47ae-bc8e-ebc74bfdd477 · outbound

This paper cites Heavy-Tailed Diffusion Models.

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 4a0cd00a-d41f-4773-aca7-76970b638351 · outbound

This paper cites an unresolved cited work.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:42:27.773341Z

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 0113e228-ebdb-4ed3-9152-4f113566fd7b · outbound

This paper cites an unresolved cited work.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Unresolved cited work

Reference 33

Resolution: verified exact; raw_fallback, observed 2026-08-16T00:42:27.664483Z

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 91c911ae-9a33-4b8a-a0be-cda964e23775 · outbound

This paper cites CVaRQ1,g α −CVaRQ2,g α ≤ Lip(g) 1−α W1(Q1,Q 2),(B6) for allQ 1,Q 2∈Q g.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows CVaRQ1,g α −CVaRQ2,g α ≤ Lip(g) 1−α W1(Q1,Q 2),(B6) for allQ 1,Q 2∈Q g

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:27.761989Z

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 fe4ed81b-cc4d-4db2-bfa0-0660c7099edb · outbound

This paper cites Proof.(1) Fixy∈R.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Proof.(1) Fixy∈R

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:27.751160Z

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 1f9aedf0-490b-4b24-b13d-5d16d84b56cb · outbound

This paper cites an unresolved cited work.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:42:27.740159Z

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 a1092dd7-e1ac-49c2-8365-07253d507725 · outbound

This paper cites Proof.(1) Denote byℓ ρ(y) := 1 1−α R (g(x)−y) +dρ(x) for anyy∈Rand∥ρ∥= R d|ρ|.

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows Proof.(1) Denote byℓ ρ(y) := 1 1−α R (g(x)−y) +dρ(x) for anyy∈Rand∥ρ∥= R d|ρ|

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:27.729970Z

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.

Pith citing papers

No inbound Pith citation observations are available.