Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:49:14.808110Z
Paper Citation Record · LEDGER
Generative Lines Matching Models
As of 20 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2412.06403.
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 2026-08-19T06:32:44.657259+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
61 of 61 outbound references displayed
- verified exact1
- verified fuzzy34
- unresolved25
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b961f2b4-c954-428c-a1b1-ecb3a4157aae · outbound
This paper cites Albergo and Eric Vanden - Eijnden.
Generative Lines Matching Models Albergo and Eric Vanden - Eijnden
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d28a68da-b8da-44ca-80c3-cbfbd5a6fb3a · outbound
This paper cites Albergo and Eric Vanden - Eijnden.
Generative Lines Matching Models Albergo and Eric Vanden - Eijnden
Reference 2
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 44654307-b949-4eee-bc50-db2f3f13ce97 · outbound
This paper cites Near-linear time approximation algorithms for optimal transport via sinkhorn iteration.
Generative Lines Matching Models Near-linear time approximation algorithms for optimal transport via sinkhorn iteration
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 51b91a4e-4a27-48ed-a8fe-ce46a2034d2b · outbound
This paper cites Beyer, Jonathan Goldstein, Raghu Ramakrishnan, and Uri Shaft.
Generative Lines Matching Models Beyer, Jonathan Goldstein, Raghu Ramakrishnan, and Uri Shaft
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.548850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fe435b6f-00a1-46f8-88d7-5ad31723b8b8 · outbound
This paper cites Large scale GAN training for high fidelity natural image synthesis.
Generative Lines Matching Models Large scale GAN training for high fidelity natural image synthesis
Reference 5
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3d700ea-81c7-4752-9e1a-68134a6ba7a8 · outbound
This paper cites Weiss, Mohammad Norouzi, and William Chan.
Generative Lines Matching Models Weiss, Mohammad Norouzi, and William Chan
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.532236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 157246ed-f7fc-42ce-81e5-16a9f5dc10d3 · outbound
This paper cites an unresolved cited work.
Generative Lines Matching Models Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T19:49:15.522304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 18ad9da3-d1dd-4ea9-9fa3-b74f506d6061 · outbound
This paper cites Clarke and Stephen Van Gorder.
Generative Lines Matching Models Clarke and Stephen Van Gorder
Reference 8
- Resolution
- verified exact
- doi, observed 2026-08-11T19:49:14.846500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7b74ef26-933b-477e-b3d6-d9478c3049f3 · outbound
This paper cites Diffusion models beat gans on image synthesis.
Generative Lines Matching Models Diffusion models beat gans on image synthesis
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.512509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation eb2f1d53-242e-4838-b3bd-d7f1c7f648bf · outbound
This paper cites Taming transformers for high-resolution image synthesis.
Generative Lines Matching Models Taming transformers for high-resolution image synthesis
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.503190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1df9cfe3-e8da-4ef6-88a7-df51d973150e · outbound
This paper cites Alaya, Aur\' e lie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, L\' e o Gautheron, Nathalie T.H.
Generative Lines Matching Models Alaya, Aur\' e lie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, L\' e o Gautheron, Nathalie T.H
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.492522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fe1aeff1-1f77-4d66-bf8e-60f28e627b67 · outbound
This paper cites Generative adversarial nets.
Generative Lines Matching Models Generative adversarial nets
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.480837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1b79cce9-febf-4057-a1a8-7f44bfe69642 · outbound
This paper cites Susskind.
Generative Lines Matching Models Susskind
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.469783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8bbafd84-5ea9-4a6f-abde-424217cbe143 · outbound
This paper cites Denoising diffusion probabilistic models.
Generative Lines Matching Models Denoising diffusion probabilistic models
Reference 14
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b480437f-ce5b-4912-9bb8-4b26162a2aca · outbound
This paper cites Video Diffusion Models.
Reference 15
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45c6f078-1792-45be-be11-66b99403d8e6 · outbound
This paper cites Fleet, and Ting Chen.
Generative Lines Matching Models Fleet, and Ting Chen
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 30569300-9770-406c-8c54-e5bdab3df4e7 · outbound
This paper cites Perceptual losses for real-time style transfer and super-resolution.
Generative Lines Matching Models Perceptual losses for real-time style transfer and super-resolution
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.442128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 21a3c0e6-8b0b-4671-af65-7b66284eafb0 · outbound
This paper cites Rebooting acgan: auxiliary classifier gans with stable training.
Generative Lines Matching Models Rebooting acgan: auxiliary classifier gans with stable training
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.432805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ef2984fd-21fd-49e8-a7a0-b77cfafc13ab · outbound
This paper cites Training generative adversarial networks with limited data.
Generative Lines Matching Models Training generative adversarial networks with limited data
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.421692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5ed3c913-502e-4ad6-a507-cd33245f09e3 · outbound
This paper cites Elucidating the design space of diffusion-based generative models.
Generative Lines Matching Models Elucidating the design space of diffusion-based generative models
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.412091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4b16472a-a246-4e3c-b347-0f6bf374feb3 · outbound
This paper cites Kendall and A.
Generative Lines Matching Models Kendall and A
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.402071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b1307b3f-35de-4667-b590-26f9f239eb64 · outbound
This paper cites Consistency trajectory models: Learning probability flow ODE trajectory of diffusion.
Generative Lines Matching Models Consistency trajectory models: Learning probability flow ODE trajectory of diffusion
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:49:14.674557Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 918793ce-50ec-49ad-b1c1-6dba3203e951 · outbound
This paper cites Guided-tts: A diffusion model for text-to-speech via classifier guidance.
Generative Lines Matching Models Guided-tts: A diffusion model for text-to-speech via classifier guidance
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.385089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3433b7a7-09a0-4a57-b8ec-e9d7f770ca5c · outbound
This paper cites Auto-Encoding Variational Bayes.
Generative Lines Matching Models Auto-Encoding Variational Bayes
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ecafc23-d1f1-4c28-990f-6c33cd05b663 · outbound
This paper cites Diffwave: A versatile diffusion model for audio synthesis, 2021.
Generative Lines Matching Models Diffwave: A versatile diffusion model for audio synthesis, 2021
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.375232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e2c44ab1-0450-49c5-a062-a44df2f44291 · outbound
This paper cites Minimizing trajectory curvature of ODE -based generative models.
Generative Lines Matching Models Minimizing trajectory curvature of ODE -based generative models
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.365232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 34b3dd03-4dea-418a-ad8b-f9a9ab26c5a5 · outbound
This paper cites an unresolved cited work.
Generative Lines Matching Models Unresolved cited work
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1af44f84-b581-4c0b-a916-20cb67554d33 · outbound
This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.
Generative Lines Matching Models Flow straight and fast: Learning to generate and transfer data with rectified flow
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.348254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5d54f623-539e-4ab4-8143-a1e924c81e2d · outbound
This paper cites Instaflow: One step is enough for high-quality diffusion-based text-to-image generation.
Generative Lines Matching Models Instaflow: One step is enough for high-quality diffusion-based text-to-image generation
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.337725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6ed02848-1d8d-4ea7-9467-884d0c7b9b5f · outbound
This paper cites Sora: A review on background, technology, limitations, and opportunities of large vision models, 2024 b.
Generative Lines Matching Models Sora: A review on background, technology, limitations, and opportunities of large vision models, 2024 b
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.328550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 99be0db6-55f3-43af-9764-b4f78d621b37 · outbound
This paper cites CM - GAN : Stabilizing GAN training with consistency models.
Generative Lines Matching Models CM - GAN : Stabilizing GAN training with consistency models
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.319108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 52e4ef20-d0ce-41a4-bdfa-49395a41b172 · outbound
This paper cites Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed.
Generative Lines Matching Models Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Reference 32
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19c22a77-007d-4672-af59-c55e8a52b6f5 · outbound
This paper cites Improved denoising diffusion probabilistic models.
Generative Lines Matching Models Improved denoising diffusion probabilistic models
Reference 33
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07abab2a-ae3a-433e-bc67-4c873046ad9e · outbound
This paper cites GLIDE: towards photorealistic image generation and editing with text-guided diffusion models.
Generative Lines Matching Models GLIDE: towards photorealistic image generation and editing with text-guided diffusion models
Reference 34
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 389c2587-35b0-44d6-8156-c7f14efd74c2 · outbound
This paper cites an unresolved cited work.
Generative Lines Matching Models Unresolved cited work
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 99cdcbcf-75b1-4e3a-9a3e-6889c6cacf73 · outbound
This paper cites Grad-tts: A diffusion probabilistic model for text-to-speech, 2021.
Generative Lines Matching Models Grad-tts: A diffusion probabilistic model for text-to-speech, 2021
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.279241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 746ef58b-39ba-4c0c-bb37-ee293cc33410 · outbound
This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.
Generative Lines Matching Models Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 37
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57eadc25-513d-4dd7-83f2-4c88aa426992 · outbound
This paper cites High-resolution image synthesis with latent diffusion models.
Generative Lines Matching Models High-resolution image synthesis with latent diffusion models
Reference 38
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24727a1c-9e20-4875-9a95-c900f48fa347 · outbound
This paper cites Sara Mahdavi, Raphael Gontijo-Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi.
Generative Lines Matching Models Sara Mahdavi, Raphael Gontijo-Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.261453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f863257e-0cb8-41e6-9a11-736d5d411525 · outbound
This paper cites Progressive distillation for fast sampling of diffusion models.
Generative Lines Matching Models Progressive distillation for fast sampling of diffusion models
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.251250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0303f6af-1e44-4f72-8a10-1576b29a7877 · outbound
This paper cites Stylegan-xl: Scaling stylegan to large diverse datasets.
Generative Lines Matching Models Stylegan-xl: Scaling stylegan to large diverse datasets
Reference 41
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9557a7a4-abad-4b91-bec9-9869fbba3907 · outbound
This paper cites Make-a-video: Text-to-video generation without text-video data.
Generative Lines Matching Models Make-a-video: Text-to-video generation without text-video data
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.241369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e381af41-630c-4052-bd59-a72e5be45ed3 · outbound
This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.
Generative Lines Matching Models Deep unsupervised learning using nonequilibrium thermodynamics
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:49:14.745929Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0f2c41a-42a7-4dbb-9af4-3e763c8aba7f · outbound
This paper cites Denoising diffusion implicit models.
Generative Lines Matching Models Denoising diffusion implicit models
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.226133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 620d2da6-2f6f-45ca-bc29-04c44e5e0283 · outbound
This paper cites Improved techniques for training consistency models.
Generative Lines Matching Models Improved techniques for training consistency models
Reference 45
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d869ea9-94b5-4008-ad3d-0209cbf6bfae · outbound
This paper cites Generative modeling by estimating gradients of the data distribution.
Generative Lines Matching Models Generative modeling by estimating gradients of the data distribution
Reference 46
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f96d0289-e33d-4493-9a99-00a7442f2888 · outbound
This paper cites Improved techniques for training score-based generative models.
Generative Lines Matching Models Improved techniques for training score-based generative models
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.204394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation be82ca48-5b56-4bad-be21-ca3ff3b00123 · outbound
This paper cites Sliced score matching: A scalable approach to density and score estimation.
Generative Lines Matching Models Sliced score matching: A scalable approach to density and score estimation
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.191120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c6eeb4e7-b908-4979-a496-fc6f9cc97501 · outbound
This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.
Generative Lines Matching Models Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.178618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5b958f10-09d7-4cb2-bb42-099e6fbb414c · outbound
This paper cites Consistency models.
Generative Lines Matching Models Consistency models
Reference 50
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6ba4d79-9490-4959-a776-97bc02d42aec · outbound
This paper cites Catastrophic forgetting and mode collapse in gans.
Generative Lines Matching Models Catastrophic forgetting and mode collapse in gans
Reference 51
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d66d272e-7a82-42ca-b953-f00bf60d0ae9 · outbound
This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.
Generative Lines Matching Models Improving and generalizing flow-based generative models with minibatch optimal transport
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.157574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 49ceea11-e6ef-4b61-a9e9-e2b3ae223930 · outbound
This paper cites A connection between score matching and denoising autoencoders.
Generative Lines Matching Models A connection between score matching and denoising autoencoders
Reference 53
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bead5f03-1983-4801-bfdb-6c6023d5fb71 · outbound
This paper cites One-step diffusion with distribution matching distillation.
Generative Lines Matching Models One-step diffusion with distribution matching distillation
Reference 54
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8efee08-e521-492a-ac68-efbe0a363ffa · outbound
This paper cites The unreasonable effectiveness of deep features as a perceptual metric.
Generative Lines Matching Models The unreasonable effectiveness of deep features as a perceptual metric
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:49:14.788122Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29de9c22-54f5-4912-8a19-62eca1478848 · outbound
This paper cites Differentiable augmentation for data-efficient gan training.
Generative Lines Matching Models Differentiable augmentation for data-efficient gan training
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:15.133085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3d95bf17-b0fb-41b4-97a3-993a5c8e67fd · outbound
This paper cites Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation.
Generative Lines Matching Models Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:49:14.793630Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12ac80b3-b9af-41d6-8af2-de5419b305a4 · outbound
This paper cites write newline.
Generative Lines Matching Models write newline
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:49:14.797297Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca02d9df-6f79-45e1-8107-ccc1b48e2a9c · outbound
This paper cites @esa (Ref.
Generative Lines Matching Models @esa (Ref
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:49:14.801230Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd208fae-dbb9-434b-836b-1acd1f38a340 · outbound
This paper cites an unresolved cited work.
Generative Lines Matching Models Unresolved cited work
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:49:14.804998Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cbb57a79-b130-434b-8b2e-b9993a4bb528 · outbound
This paper cites We used the same network architecture and hyper-parameters as existing models, with all the implementation details provided in Appendix append:impl.
Generative Lines Matching Models We used the same network architecture and hyper-parameters as existing models, with all the implementation details provided in Appendix append:impl
Reference 61
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-11T19:49:15.101770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
No inbound Pith citation observations are available.