Paper Citation Record · LEDGER

Texture Underfitting for Domain Adaptation

As of 17 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:1908.11215.

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

pith.paper-citation-record.v1
1908.11215 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:26:04.535930Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

34 of 34 outbound references displayed

verified exact0
verified fuzzy26
unresolved8
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b0f013c4-37e4-433e-8b05-fe3325003f44 · outbound

This paper cites Approximating CNNs with bag-of-local- features models works surprisingly well on imagenet,.

Texture Underfitting for Domain Adaptation Approximating CNNs with bag-of-local- features models works surprisingly well on imagenet,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:05.175947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 524412f0-35e2-4fc9-9564-0b8b5f1c6ce7 · outbound

This paper cites DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.

Texture Underfitting for Domain Adaptation DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a0c6356-0243-4385-a510-a556243e4a37 · outbound

This paper cites Road: Reality oriented adaptation for semantic segmentation of urban scenes,.

Texture Underfitting for Domain Adaptation Road: Reality oriented adaptation for semantic segmentation of urban scenes,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:05.160203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cafe32a6-3f79-425b-ae7d-a62dddbe5d83 · outbound

This paper cites The Cityscapes Dataset for Semantic Urban Scene Understanding,.

Texture Underfitting for Domain Adaptation The Cityscapes Dataset for Semantic Urban Scene Understanding,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:05.140272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b16e7356-1b32-43ee-b1f7-6889eb7e4732 · outbound

This paper cites Model adaptation with synthetic and real data for semantic dense foggy scene under- standing,.

Texture Underfitting for Domain Adaptation Model adaptation with synthetic and real data for semantic dense foggy scene under- standing,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:05.120100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 81364f67-4bae-4226-8271-c24aaff1bc7a · outbound

This paper cites Dark model adaptation: Semantic image segmentation from daytime to nighttime,.

Texture Underfitting for Domain Adaptation Dark model adaptation: Semantic image segmentation from daytime to nighttime,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:05.101465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 03ad61a0-3128-494b-92a8-4e0ce0094b56 · outbound

This paper cites CARLA: An Open Urban Driving Simulator,.

Texture Underfitting for Domain Adaptation CARLA: An Open Urban Driving Simulator,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:05.082008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b6f817ef-8a8b-4291-b1fc-5b756457397a · outbound

This paper cites Unsupervised Domain Adaptation by Backpropagation,.

Texture Underfitting for Domain Adaptation Unsupervised Domain Adaptation by Backpropagation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:05.063012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ab79bf7-9c83-4dd0-ba00-f8339b039a3b · outbound

This paper cites Domain-Adversarial Training of Neural Networks.

Texture Underfitting for Domain Adaptation Domain-Adversarial Training of Neural Networks

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edad5e20-b80d-4098-b895-5e5dccfd9776 · outbound

This paper cites Texture and art with deep neural networks,.

Texture Underfitting for Domain Adaptation Texture and art with deep neural networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:05.042958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 098177f0-ace2-471f-ab4c-73080c157849 · outbound

This paper cites ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.

Texture Underfitting for Domain Adaptation ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T10:26:04.410545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0a7489a-b4dc-445e-a3bc-1d539f322b2b · outbound

This paper cites Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition.

Texture Underfitting for Domain Adaptation Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T10:26:04.416734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02731bc8-bdf3-48ca-9122-29dd7a3898d6 · outbound

This paper cites Deep residual learning for image recognition,.

Texture Underfitting for Domain Adaptation Deep residual learning for image recognition,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:05.024989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f555a0ea-0de8-4f0f-bdf1-809de20fc949 · outbound

This paper cites CyCADA: Cycle-consistent adversarial domain adap- tation,.

Texture Underfitting for Domain Adaptation CyCADA: Cycle-consistent adversarial domain adap- tation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:05.001593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7088d658-1935-4217-a22a-6fa7277ee194 · outbound

This paper cites Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization,.

Texture Underfitting for Domain Adaptation Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:04.983079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3d327f4f-ae93-4af6-994c-0b0b350162a6 · outbound

This paper cites Deep Neural Networks: A New Framework for Mod- eling Biological Vision and Brain Information Processing,.

Texture Underfitting for Domain Adaptation Deep Neural Networks: A New Framework for Mod- eling Biological Vision and Brain Information Processing,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:04.964403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6d210e53-00ef-44ce-b19b-a1eb03271ddc · outbound

This paper cites Deep learning,.

Texture Underfitting for Domain Adaptation Deep learning,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c3eb0d1-3e2a-4df3-84c5-c07f525865d7 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

Texture Underfitting for Domain Adaptation Fully convolutional networks for semantic segmentation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:04.932732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fe9601a4-6bf5-449c-8c2f-f4f29377b3f2 · outbound

This paper cites The Map- illary Vistas Dataset for Semantic Understanding of Street Scenes,.

Texture Underfitting for Domain Adaptation The Map- illary Vistas Dataset for Semantic Understanding of Street Scenes,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:04.913793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a6be6f1-2337-4f19-bdc9-3253b8339379 · outbound

This paper cites A Survey on Transfer Learning,.

Texture Underfitting for Domain Adaptation A Survey on Transfer Learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:04.894254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c3a80dad-393a-4f3b-862e-60b6757e5e45 · outbound

This paper cites Playing for Benchmarks,.

Texture Underfitting for Domain Adaptation Playing for Benchmarks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:04.876673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b002e0d3-8bb9-46df-badc-cfdef7c6729f · outbound

This paper cites Playing for Data: Ground Truth from Computer Games,.

Texture Underfitting for Domain Adaptation Playing for Data: Ground Truth from Computer Games,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:04.859430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fd3d26ac-555c-441f-88a7-da39783e24f1 · outbound

This paper cites The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes,.

Texture Underfitting for Domain Adaptation The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:04.838271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 40ad9ef4-5dda-4965-8dc1-5a26d91611fb · outbound

This paper cites ImageNet Large Scale Visual Recognition Challenge,.

Texture Underfitting for Domain Adaptation ImageNet Large Scale Visual Recognition Challenge,

Reference 24

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Source-reported events for the cited work

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Observation efe83c71-37a4-4af1-8d96-1fe7193f76b3 · outbound

This paper cites Semantic foggy scene understanding with synthetic data,.

Texture Underfitting for Domain Adaptation Semantic foggy scene understanding with synthetic data,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:04.807102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec51e856-de1d-4bdb-81ab-1873047049d2 · outbound

This paper cites Guided curriculum model adaptation and uncertainty-aware evaluation for semantic nighttime image segmentation,.

Texture Underfitting for Domain Adaptation Guided curriculum model adaptation and uncertainty-aware evaluation for semantic nighttime image segmentation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:04.789057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dd21d4ed-a368-441e-a0c9-9d226df7bae3 · outbound

This paper cites Learning from simulated and unsupervised images through adversarial training,.

Texture Underfitting for Domain Adaptation Learning from simulated and unsupervised images through adversarial training,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:04.771399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 568762f4-61d4-4a4d-b23a-de9e23f3bbba · outbound

This paper cites Learning to Adapt Structured Output Space for Semantic Segmentation,.

Texture Underfitting for Domain Adaptation Learning to Adapt Structured Output Space for Semantic Segmentation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:04.753089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 917b2605-adf5-4e1e-b564-c5d183f8b127 · outbound

This paper cites Domain Adaptation for Structured Output via Discriminative Patch Representations.

Texture Underfitting for Domain Adaptation Domain Adaptation for Structured Output via Discriminative Patch Representations

Reference 29

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Source-reported events for the cited work

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Observation 0f23caef-c8cb-4930-a674-2fb85e3e0d6e · outbound

This paper cites Simultaneous deep transfer across domains and tasks,.

Texture Underfitting for Domain Adaptation Simultaneous deep transfer across domains and tasks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:04.734822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd731c87-02c4-4f4e-89fd-175d160fde03 · outbound

This paper cites Deep visual domain adaptation: A survey,.

Texture Underfitting for Domain Adaptation Deep visual domain adaptation: A survey,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:04.717625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d8c7b7ba-08f1-44cc-acb9-2b181e0d2a5e · outbound

This paper cites Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing.

Texture Underfitting for Domain Adaptation Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T10:26:04.524596Z

Source-reported events for the cited work

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Observation a90cb880-fb50-4a49-9a8b-4ff5634d22df · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions,.

Texture Underfitting for Domain Adaptation Multi-Scale Context Aggregation by Dilated Convolutions,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:04.700835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 105af856-dca5-4bd6-af03-19727eb6d20e · outbound

This paper cites Curriculum domain adaptation for semantic segmentation of urban scenes,.

Texture Underfitting for Domain Adaptation Curriculum domain adaptation for semantic segmentation of urban scenes,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:26:04.682562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.