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Paper Citation Record · LEDGER

Image Synthesis From Reconfigurable Layout and Style

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:1908.07500.

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

pith.paper-citation-record.v1
1908.07500 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:22:17.571336Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

39 of 39 outbound references displayed

  • verified exact3
  • verified fuzzy19
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 19d7b79c-5c74-4f92-88e0-f600e6bffd99 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

Image Synthesis From Reconfigurable Layout and Style Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 1

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Observation d259b371-4860-438f-ac5e-fb608c4ae643 · outbound

This paper cites Coco- stuff: Thing and stuff classes in context.

Image Synthesis From Reconfigurable Layout and Style Coco- stuff: Thing and stuff classes in context

Reference 2

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 31c6c11e-b58f-426e-b262-c5d42b68bd62 · outbound

This paper cites Mod- ulating early visual processing by language.

Image Synthesis From Reconfigurable Layout and Style Mod- ulating early visual processing by language

Reference 3

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e110ae00-07d8-47ed-8115-e9a56f316979 · outbound

This paper cites Adversarially Learned Inference.

Image Synthesis From Reconfigurable Layout and Style Adversarially Learned Inference

Reference 4

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source=pdf_text observed=2026-08-14T12:22:17.396540Z digest=sha256:c2a7cbd94d7a61ec0160442af265568afe9c4e275b4134f37c13923972d33d08

Observation 15a45169-82fc-4130-9121-11faa8f06240 · outbound

This paper cites A learned representation for artistic style.

Image Synthesis From Reconfigurable Layout and Style A learned representation for artistic style

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.401433Z digest=sha256:b45de042bee40bcf0337f7a91aa9a6b20f099e3060009b5175b086fd541226d0

Observation d3596654-e3b0-4ca5-a41f-521608f20969 · outbound

This paper cites Generative adversarial nets.

Image Synthesis From Reconfigurable Layout and Style Generative adversarial nets

Reference 6

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source=pdf_text observed=2026-08-14T12:22:17.406649Z digest=sha256:be7164f088bb3d7065345d7561daa85871fa90f27cd33facdd58bf066c8f505c

Observation 09b244d2-3330-4cca-a04f-bfa10a959c78 · outbound

This paper cites Mask r-cnn.

Image Synthesis From Reconfigurable Layout and Style Mask r-cnn

Reference 7

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source=pdf_text observed=2026-08-14T12:22:17.411217Z digest=sha256:629c50349d3e6e07511d7f59014a5f3231aaaa2bb728c500c0d8e396d4793946

Observation 29eddcb9-048a-46f5-85dc-3f3e713ba46d · outbound

This paper cites Deep residual learning for image recognition.

Image Synthesis From Reconfigurable Layout and Style Deep residual learning for image recognition

Reference 8

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source=pdf_text observed=2026-08-14T12:22:17.415632Z digest=sha256:6fe9eb2ef28641ea9b65f1fddaba308de3ff5bddcf1bb994608be8dcb6f10188

Observation 6125b405-0438-4b76-b5a0-e33cdb877b4f · outbound

This paper cites GANs trained by a two time-scale update rule converge to a local nash equi- librium.

Image Synthesis From Reconfigurable Layout and Style GANs trained by a two time-scale update rule converge to a local nash equi- librium

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.423288Z digest=sha256:2c65f0b711d752ae8516eed3d4596f264a879e2a9a56eec8cd629e91f5cc91fe

Observation dbe18141-b560-4e31-adba-d35f0f004c84 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Image Synthesis From Reconfigurable Layout and Style Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.429411Z digest=sha256:6950020c150b3787503b70ce07f692fc4ca240802a8f6a81d48d9610e22e64d8

Observation ec9fcf1d-2498-431a-9bbe-fdc87a6f52c2 · outbound

This paper cites Generating Multiple Objects at Spatially Distinct Locations.

Image Synthesis From Reconfigurable Layout and Style Generating Multiple Objects at Spatially Distinct Locations

Reference 11

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local_arxiv, observed 2026-08-14T12:22:17.816214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.434342Z digest=sha256:48fb708244288c527548eaf1e17bcd1d15fab95c71e47588295799f2471efaa5

Observation 3f2de97d-14eb-4c97-873a-ae68b3831188 · outbound

This paper cites Inferring semantic layout for hierarchical text- to-image synthesis.

Image Synthesis From Reconfigurable Layout and Style Inferring semantic layout for hierarchical text- to-image synthesis

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.440449Z digest=sha256:3891b5d7446b08c9bd07bf070363ab25306293e023fd4853b80f6d3cd79d1baf

Observation e4414cec-61aa-48ad-a77a-345f3c6437ab · outbound

This paper cites Multimodal unsupervised image-to-image translation.

Image Synthesis From Reconfigurable Layout and Style Multimodal unsupervised image-to-image translation

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.444698Z digest=sha256:ecf121f22321cf0897b74400b35e457e6eadfdea784334521a0e9442a89cbb97

Observation 2305231a-94ec-4382-9833-db8d04f228d0 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Image Synthesis From Reconfigurable Layout and Style Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 14

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T12:22:17.449518Z digest=sha256:67f72b74c2fe1bba4915b54d04b0ad6d1ebe5b41a97219f8213936cb680ecc0d

Observation 2bdb2c42-c4f0-43e7-8ddd-17878805ed69 · outbound

This paper cites Image-to-image translation with conditional adver- sarial networks.

Image Synthesis From Reconfigurable Layout and Style Image-to-image translation with conditional adver- sarial networks

Reference 15

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source=pdf_text observed=2026-08-14T12:22:17.454450Z digest=sha256:7f80ab2a703793c6c05e865a8a7e6acffdf59157d21343997638869f990143fc

Observation 1fef3cb5-135e-41f1-af86-305eb6a09e16 · outbound

This paper cites Image gener- ation from scene graphs.

Image Synthesis From Reconfigurable Layout and Style Image gener- ation from scene graphs

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.459182Z digest=sha256:c5af3552903d8684c3f65c694694a81872d573d2501053f1d06de454b172da86

Observation 975b4e40-7be8-4527-b2bc-a42dbc8a8487 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Image Synthesis From Reconfigurable Layout and Style Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 17

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source=pdf_text observed=2026-08-14T12:22:17.463441Z digest=sha256:9406510169f678792521373f754c74f3415d9958045e89c117ca93164da639c1

Observation 07d7d5e7-92d5-4cec-8d52-9439b5120ced · outbound

This paper cites A Style-Based Generator Architecture for Generative Adversarial Networks.

Image Synthesis From Reconfigurable Layout and Style A Style-Based Generator Architecture for Generative Adversarial Networks

Reference 18

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source=pdf_text observed=2026-08-14T12:22:17.469239Z digest=sha256:708139b8851e986816ec751c8e2c595f2574b210ba809d4f3497e174561f47a7

Observation 4f4e908f-6d99-46eb-a1c9-8c8f42e1d59a · outbound

This paper cites Learning to discover cross-domain relations with generative adversarial networks.

Image Synthesis From Reconfigurable Layout and Style Learning to discover cross-domain relations with generative adversarial networks

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.473866Z digest=sha256:64b023e4ab779d3a2ee2483c308a6680feb382b4fe1f399fc13aae09de6c1df5

Observation b3a13f1a-108b-4b4f-b293-7e92dfd7c2fa · outbound

This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.

Image Synthesis From Reconfigurable Layout and Style Visual genome: Connecting language and vision using crowdsourced dense image annotations

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.478800Z digest=sha256:5269768e7495ec10c6d89d3eb465c35430b2fed7b0159b5adfa3fe23329a5280

Observation f5dfb9ae-b1c9-4ff4-bddf-4b410819b58a · outbound

This paper cites Object-driven Text-to-Image Synthesis via Adversarial Training.

Image Synthesis From Reconfigurable Layout and Style Object-driven Text-to-Image Synthesis via Adversarial Training

Reference 21

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local_arxiv, observed 2026-08-14T12:22:17.757859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.482605Z digest=sha256:774626131d9318769e4bff7b6c2c4c264a406550f5ba42e90a62c026e8352fb2

Observation 6c316323-ee28-4c8d-97cc-9b913ff38857 · outbound

This paper cites Geometric GAN.

Image Synthesis From Reconfigurable Layout and Style Geometric GAN

Reference 22

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source=pdf_text observed=2026-08-14T12:22:17.488855Z digest=sha256:33d2811e2831a7050c7f8885c9adf13fb80b3d81379b529a2253ded3d0d47236

Observation ac0635ed-b4fd-4c80-bea1-12dacbafc127 · outbound

This paper cites Spectral Normalization for Generative Adversarial Networks.

Image Synthesis From Reconfigurable Layout and Style Spectral Normalization for Generative Adversarial Networks

Reference 23

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source=pdf_text observed=2026-08-14T12:22:17.493978Z digest=sha256:1ec1a410b5c0a15d288a23ec59cb2a99086173f3689d9e851d9c2fda182176cb

Observation aab1540c-67d4-4662-a499-60224cda21f3 · outbound

This paper cites cGANs with Projection Discriminator.

Image Synthesis From Reconfigurable Layout and Style cGANs with Projection Discriminator

Reference 24

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source=pdf_text observed=2026-08-14T12:22:17.500390Z digest=sha256:f3aed9e1fa887a7bd33ca8b7650f27ffb825a545f42a7494ee59752004f2625c

Observation f79109e1-274c-45e6-a249-6e9e4c7dbe42 · outbound

This paper cites Conditional image synthesis with auxiliary classifier gans.

Image Synthesis From Reconfigurable Layout and Style Conditional image synthesis with auxiliary classifier gans

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.505179Z digest=sha256:22708263574904a528b1bc5d5217d49f15b4e8fbc67b443691f9a641dfe7f651

Observation cc2fdca7-6807-495c-9859-8f6d9fa5b025 · outbound

This paper cites Semantic image synthesis with spatially-adaptive nor- malization.

Image Synthesis From Reconfigurable Layout and Style Semantic image synthesis with spatially-adaptive nor- malization

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.509622Z digest=sha256:15a3f74473e7f77a08637d34052e164d2979164f21f5c47d393e03c389e75a6d

Observation 5f15665f-ef5f-4528-bb6b-33ba07b9e7ab · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Image Synthesis From Reconfigurable Layout and Style Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 27

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source=pdf_text observed=2026-08-14T12:22:17.514327Z digest=sha256:b73b83bf2f292365311c9e2b44d947c7e6b316c1dd5bbef9808c8e534371c1a9

Observation 30db426e-96c7-4fce-b2ef-e142c9d7a066 · outbound

This paper cites Classification Accuracy Score for Conditional Generative Models.

Image Synthesis From Reconfigurable Layout and Style Classification Accuracy Score for Conditional Generative Models

Reference 28

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source=pdf_text observed=2026-08-14T12:22:17.519665Z digest=sha256:53d96558a60d914b059a7f41d61e914d6524a35f2c9c0d1867da69dc2a82a653

Observation 952bb138-4e18-4ce3-8fd6-5ca81be32377 · outbound

This paper cites Generative Adversarial Text to Image Synthesis.

Image Synthesis From Reconfigurable Layout and Style Generative Adversarial Text to Image Synthesis

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:22:17.525032Z digest=sha256:d15c800906293883b020354b85cc60854ad2788b337ef2e361f50cc3186f27b6

Observation 4aa764ae-748f-44b6-b3c6-84551d00d474 · outbound

This paper cites Improved techniques for training gans.

Image Synthesis From Reconfigurable Layout and Style Improved techniques for training gans

Reference 30

Resolution
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raw_fallback, observed 2026-08-14T12:22:17.942585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.529688Z digest=sha256:14a3ef7a124c5b584255d95743aa3f78f3a2d1f2f2ab076ace4032c8e0b6523a

Observation 1fd3a022-0485-4f7c-b706-f3038d7bd4fb · outbound

This paper cites Going deeper with convolutions.

Image Synthesis From Reconfigurable Layout and Style Going deeper with convolutions

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:17.930015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.535746Z digest=sha256:e7343c7c5f237d296757ecb9b96a01654b28570d9b0244ac19a0b8aa592a7306

Observation 62f5b399-45ce-4a2d-91f8-40f5ef4d9d86 · outbound

This paper cites Hierarchical Implicit Models and Likelihood-Free Variational Inference.

Image Synthesis From Reconfigurable Layout and Style Hierarchical Implicit Models and Likelihood-Free Variational Inference

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:22:17.539897Z digest=sha256:670219647c1a7cc9b8a6888dd309ac474abc7a4b4a65de52c94de8816313142d

Observation cf027fbb-920c-482c-a9a3-96b5f988ca8b · outbound

This paper cites High-resolution image syn- thesis and semantic manipulation with conditional gans.

Image Synthesis From Reconfigurable Layout and Style High-resolution image syn- thesis and semantic manipulation with conditional gans

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:17.915356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.544379Z digest=sha256:5d5b3a0b403a8b872a71a54709e80805969ec5cf4edfa8ac6bcf592b12c4d3f5

Observation 52aebf67-a335-42ea-aa18-d7c3f8f30c7a · outbound

This paper cites Attngan: Fine- grained text to image generation with attentional generative adversarial networks.

Image Synthesis From Reconfigurable Layout and Style Attngan: Fine- grained text to image generation with attentional generative adversarial networks

Reference 34

Resolution
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raw_fallback, observed 2026-08-14T12:22:17.901751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.549236Z digest=sha256:e3231ce70d630b28bce1dd9f78d685700dfb681afb5707503e45615043551490

Observation cda41ae9-d919-4371-914a-6470c0350769 · outbound

This paper cites Self-Attention Generative Adversarial Networks.

Image Synthesis From Reconfigurable Layout and Style Self-Attention Generative Adversarial Networks

Reference 35

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source=pdf_text observed=2026-08-14T12:22:17.553484Z digest=sha256:317b8684cf11aeb49ae1d4f0f383d7c646b370e82e51f87aa6cfc0816fe15ffa

Observation 5ffa1038-d110-449e-a112-8e2af2f19d53 · outbound

This paper cites Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks.

Image Synthesis From Reconfigurable Layout and Style Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks

Reference 36

Resolution
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raw_fallback, observed 2026-08-14T12:22:17.888293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.558021Z digest=sha256:401567aa9d96e8cff5c462a7d9982117ef5a6b57362fd7ef510138bf53308a6b

Observation 594359ce-bb2c-410a-9b8d-9e5d2b5a10ec · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Image Synthesis From Reconfigurable Layout and Style The unreasonable effectiveness of deep features as a perceptual metric

Reference 37

Resolution
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raw_fallback, observed 2026-08-14T12:22:17.872777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.562179Z digest=sha256:b7ba09c32deeaf01948012906bdbb4b837f9e971e6905efa28fc77b009246564

Observation 8b85019d-ea6d-47ef-aadb-e4e97452ab27 · outbound

This paper cites Image Generation from Layout.

Image Synthesis From Reconfigurable Layout and Style Image Generation from Layout

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:22:17.614291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.566502Z digest=sha256:123c171b9edba353fe49ab8e4e28bbbbd5ed379581802d77f51534ba96c7a0ab

Observation b0356d2a-434a-4bcf-9f91-2926941a0bde · outbound

This paper cites Unpaired image-to-image translation using cycle- consistent adversarial networks.

Image Synthesis From Reconfigurable Layout and Style Unpaired image-to-image translation using cycle- consistent adversarial networks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:17.857590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:22:17.571336Z digest=sha256:d71455c9565de87bc34aa78ee32a9b6e4dc8c400b91cbcca739041de0721e098

Pith citing papers

No inbound Pith citation observations are available.