Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:18:45.955865Z
Paper Citation Record · LEDGER
AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss
As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2608.11205.
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 2026-08-18T06:34:40.430872+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
15 of 15 outbound references displayed
- verified exact0
- verified fuzzy1
- unresolved14
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation dd5585ea-579e-4cbf-ae1a-260e31dc80d5 · outbound
This paper cites Flow Matching for Generative Modeling.
AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss Flow Matching for Generative Modeling
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:18:45.377365Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 173d08d4-88f4-4b29-95a5-4e4a3a582478 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss DINOv2: Learning Robust Visual Features without Supervision
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:18:45.545419Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5867df1e-1ad3-4a8d-ae4a-779552d85dd5 · outbound
This paper cites Fast high-resolution image synthesis with latent adversarial diffusion distillation.
AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss Fast high-resolution image synthesis with latent adversarial diffusion distillation
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:18:46.463790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f559193b-c555-43ea-a599-759d6d80b4a7 · outbound
This paper cites Improved distribution matching distillation for fast image synthesis.Ad- vances in neural information processing systems, 37:47455–47487, 2024a.
AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss Improved distribution matching distillation for fast image synthesis.Ad- vances in neural information processing systems, 37:47455–47487, 2024a
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:18:45.950813Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4179dc1-5a9d-496a-8875-dfe8da79c88c · outbound
This paper cites Diffusion Transformers with Representation Autoencoders.
AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss Diffusion Transformers with Representation Autoencoders
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:18:45.955865Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 379aea10-a9e0-46cd-8486-74d7a35f1e3f · outbound
This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.
AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss Score-Based Generative Modeling through Stochastic Differential Equations
Reference 2015
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:18:45.788299Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3af3431-01ab-4e87-aefc-ac5b146ab298 · outbound
This paper cites MIND: Monge Inception Distance for Generative Models Evaluation.
AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss MIND: Monge Inception Distance for Generative Models Evaluation
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:18:45.030759Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa557ce6-b92c-4be7-bab9-da6c15bbe0d8 · outbound
This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.
AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss Large Scale GAN Training for High Fidelity Natural Image Synthesis
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:18:45.164542Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e0fba82-322f-43f8-9b0e-bf1617f720a9 · outbound
This paper cites Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models.
AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:18:45.311287Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09e72b48-cb66-4e2c-b774-e92793343701 · outbound
This paper cites Image Generation Via Minimizing Fr\'echet Distance in Discriminator Feature Space.
AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss Image Generation Via Minimizing Fr\'echet Distance in Discriminator Feature Space
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:18:45.170306Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6bda5aed-63d4-446c-9fc4-70c8c8fdf617 · outbound
This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.
AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:18:45.384346Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8a640ee-02bd-4701-b42a-f659c474d4d0 · outbound
This paper cites The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models.
AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:18:45.611022Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10361188-a01e-4ea5-a154-6d253d746eea · outbound
This paper cites Representation Fr\'echet Loss for Visual Generation.
AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss Representation Fr\'echet Loss for Visual Generation
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:18:45.799220Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 947af2ef-9b5d-4e76-8dae-1698323c3e38 · outbound
This paper cites One-step Latent-free Image Generation with Pixel Mean Flows.
AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss One-step Latent-free Image Generation with Pixel Mean Flows
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:18:45.493576Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b4602da-775a-4714-aac2-a30638f5a471 · outbound
This paper cites Demystifying MMD GANs.
AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss Demystifying MMD GANs
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:18:45.092619Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.