Paper Citation Record · LEDGER

Task-Assisted Domain Adaptation with Anchor Tasks

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:1908.06079.

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

pith.paper-citation-record.v1
1908.06079 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:59:36.191388Z

measured 42 of 42 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

42 of 42 outbound references displayed

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verified fuzzy29
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a1892c27-31d2-4c7a-a228-ce2b787ae3d2 · outbound

This paper cites A morphable model for the synthesis of 3d faces.

Task-Assisted Domain Adaptation with Anchor Tasks A morphable model for the synthesis of 3d faces

Reference 1

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Observation 8c9f6e2c-bb7d-4bd5-9ef4-ee4f38b118f8 · outbound

This paper cites How far are we from solving the 2d & 3d face alignment problem? (and a dataset of 230,000 3d facial landmarks).

Task-Assisted Domain Adaptation with Anchor Tasks How far are we from solving the 2d & 3d face alignment problem? (and a dataset of 230,000 3d facial landmarks)

Reference 2

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Observation f3791506-11ef-40d7-93b1-2afc2a2adcdb · outbound

This paper cites Facewarehouse: A 3d facial expression database for visual computing.

Task-Assisted Domain Adaptation with Anchor Tasks Facewarehouse: A 3d facial expression database for visual computing

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:37.159148Z

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Observation 91469ff0-7e33-478e-947e-8e0c42d890e7 · outbound

This paper cites Multitask learning.

Task-Assisted Domain Adaptation with Anchor Tasks Multitask learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:37.130294Z

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Observation 48c8ab10-7cf2-4096-803f-36537f443803 · outbound

This paper cites Learning aligned cross-modal representations from weakly aligned data.

Task-Assisted Domain Adaptation with Anchor Tasks Learning aligned cross-modal representations from weakly aligned data

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:37.096856Z

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Observation 9be2e67a-2a85-4533-bc7e-944ec4a13bcc · outbound

This paper cites Multi-task domain adap- tation for deep learning of instance grasping from simula- tion.

Task-Assisted Domain Adaptation with Anchor Tasks Multi-task domain adap- tation for deep learning of instance grasping from simula- tion

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:37.054751Z

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Observation fb3cdb13-5390-4a90-a8f7-d20a488fc08f · outbound

This paper cites Model- agnostic meta-learning for fast adaptation of deep networks.

Task-Assisted Domain Adaptation with Anchor Tasks Model- agnostic meta-learning for fast adaptation of deep networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:37.028845Z

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Observation 42597e07-c48f-49b3-87de-9310189a8a0f · outbound

This paper cites Multi-task, multi-domain learning: Application to se- mantic segmentation and pose regression.

Task-Assisted Domain Adaptation with Anchor Tasks Multi-task, multi-domain learning: Application to se- mantic segmentation and pose regression

Reference 8

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Observation f143ad54-5d70-419a-a6b2-8d434b008ff8 · outbound

This paper cites Unsupervised domain adaptation by backpropagation.

Task-Assisted Domain Adaptation with Anchor Tasks Unsupervised domain adaptation by backpropagation

Reference 9

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Observation 943fdd97-9bd4-4a04-ac41-9dca71ca4829 · outbound

This paper cites Fine-grained recognition in the wild: A multi-task domain adaptation ap- proach.

Task-Assisted Domain Adaptation with Anchor Tasks Fine-grained recognition in the wild: A multi-task domain adaptation ap- proach

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.929809Z

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Observation 57d0a348-e650-4a0c-be43-cffac2744a95 · outbound

This paper cites Deep residual learning for image recognition.

Task-Assisted Domain Adaptation with Anchor Tasks Deep residual learning for image recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.905637Z

Source-reported events for the cited work

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Observation af3c182a-55f9-438c-8600-f08e6bd253d5 · outbound

This paper cites Efros, and Trevor Dar- rell.

Task-Assisted Domain Adaptation with Anchor Tasks Efros, and Trevor Dar- rell

Reference 12

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Source-reported events for the cited work

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Observation 90ac8593-bc27-4c5d-a2b9-07d9c2584b05 · outbound

This paper cites Girshick.

Task-Assisted Domain Adaptation with Anchor Tasks Girshick

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.863100Z

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Observation 38b75a4f-3059-4e1a-a77a-f9c226d9a8bf · outbound

This paper cites Cross-domain weakly-supervised object de- tection through progressive domain adaptation.

Task-Assisted Domain Adaptation with Anchor Tasks Cross-domain weakly-supervised object de- tection through progressive domain adaptation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.835399Z

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Observation 00136178-cb8e-4755-9a79-5ff00ae041b1 · outbound

This paper cites Ubernet: Training a universal convolu- tional neural network for low-, mid-, and high-level vision using diverse datasets and limited memory.

Task-Assisted Domain Adaptation with Anchor Tasks Ubernet: Training a universal convolu- tional neural network for low-, mid-, and high-level vision using diverse datasets and limited memory

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.810356Z

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Observation 9401b9c9-8d48-4035-9ebd-db8c4f6bb4de · outbound

This paper cites Dis- criminatively trained dense surface normal estimation.

Task-Assisted Domain Adaptation with Anchor Tasks Dis- criminatively trained dense surface normal estimation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.782036Z

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Observation bb65192e-93f4-4db7-8747-044bb2719441 · outbound

This paper cites Weakly supervised image classiﬁcation with coarse and ﬁne labels.

Task-Assisted Domain Adaptation with Anchor Tasks Weakly supervised image classiﬁcation with coarse and ﬁne labels

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.760036Z

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Observation d7c7a77a-658f-4bc7-b895-deed732e5547 · outbound

This paper cites Girshick, Kaiming He, Bharath Hariharan, and Serge J.

Task-Assisted Domain Adaptation with Anchor Tasks Girshick, Kaiming He, Bharath Hariharan, and Serge J

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.738790Z

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Observation 708a3024-d924-4dfc-87b4-32a53f6942da · outbound

This paper cites Representation learning using multi- task deep neural networks for semantic classiﬁcation and in- formation retrieval.

Task-Assisted Domain Adaptation with Anchor Tasks Representation learning using multi- task deep neural networks for semantic classiﬁcation and in- formation retrieval

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.714921Z

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Observation 49437081-8425-45b6-8f20-f87abbe90a8f · outbound

This paper cites Deep learning face attributes in the wild.

Task-Assisted Domain Adaptation with Anchor Tasks Deep learning face attributes in the wild

Reference 20

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Task-Assisted Domain Adaptation with Anchor Tasks Unresolved cited work

Reference 21

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Observation 90d28065-dfca-41aa-9c5c-a082d6a1d70a · outbound

This paper cites Regularizing deep networks by modeling and predicting label structure.

Task-Assisted Domain Adaptation with Anchor Tasks Regularizing deep networks by modeling and predicting label structure

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.645944Z

Source-reported events for the cited work

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Observation 483854e4-5108-4eb0-ac61-2b26caf805c1 · outbound

This paper cites Automatic dif- ferentiation in PyTorch.

Task-Assisted Domain Adaptation with Anchor Tasks Automatic dif- ferentiation in PyTorch

Reference 23

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Observation 54fbdc2a-2b9e-4570-995f-a9179e846a5d · outbound

This paper cites Berg, and Li Fei-Fei.

Task-Assisted Domain Adaptation with Anchor Tasks Berg, and Li Fei-Fei

Reference 24

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Source-reported events for the cited work

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Observation 0fbdb683-71e1-48ca-8848-7380a4c8b172 · outbound

This paper cites Maximum classiﬁer discrepancy for unsuper- vised domain adaptation.

Task-Assisted Domain Adaptation with Anchor Tasks Maximum classiﬁer discrepancy for unsuper- vised domain adaptation

Reference 25

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This paper cites Learning from synthetic data: Addressing domain shift for semantic segmentation.

Task-Assisted Domain Adaptation with Anchor Tasks Learning from synthetic data: Addressing domain shift for semantic segmentation

Reference 26

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Observation b0555e15-b738-4758-a43a-88252491e4c6 · outbound

This paper cites Sfsnet: Learning shape, reﬂectance and illuminance of facesin the wild’.

Task-Assisted Domain Adaptation with Anchor Tasks Sfsnet: Learning shape, reﬂectance and illuminance of facesin the wild’

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.555629Z

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Observation a4d3fa82-a690-4053-bbf6-048fd96bb181 · outbound

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

Task-Assisted Domain Adaptation with Anchor Tasks Learning from simulated and unsupervised images through adversarial training

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.537652Z

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Observation 3b79095b-3372-4ab7-92f6-19c3ee9f18a9 · outbound

This paper cites Indoor segmentation and support inference from rgbd images.

Task-Assisted Domain Adaptation with Anchor Tasks Indoor segmentation and support inference from rgbd images

Reference 29

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Observation 4284d46c-4340-4855-8c30-06fda793147d · outbound

This paper cites Semantic scene comple- tion from a single depth image.

Task-Assisted Domain Adaptation with Anchor Tasks Semantic scene comple- tion from a single depth image

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.495527Z

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Observation 16a7d0c2-4a4d-4002-b996-d46621e86393 · outbound

This paper cites Chang, Manolis Savva, and Thomas A.

Task-Assisted Domain Adaptation with Anchor Tasks Chang, Manolis Savva, and Thomas A

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.474097Z

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Observation 8df60664-fca3-4f81-aa9d-708568c0faac · outbound

This paper cites Training deep networks with synthetic data: Bridging the reality gap by domain randomization.

Task-Assisted Domain Adaptation with Anchor Tasks Training deep networks with synthetic data: Bridging the reality gap by domain randomization

Reference 32

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Observation 1124a72c-8daa-4343-8886-6318a37c8316 · outbound

This paper cites Zafeiriou.

Task-Assisted Domain Adaptation with Anchor Tasks Zafeiriou

Reference 33

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Source-reported events for the cited work

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Observation 19b9f14a-f5dd-4645-aa23-ef6b5f373942 · outbound

This paper cites Learning to adapt structured output space for se- mantic segmentation.

Task-Assisted Domain Adaptation with Anchor Tasks Learning to adapt structured output space for se- mantic segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.422424Z

Source-reported events for the cited work

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Observation 8962034f-3d97-41b9-9091-baf0d81006bc · outbound

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

Task-Assisted Domain Adaptation with Anchor Tasks Domain Adaptation for Structured Output via Discriminative Patch Representations

Reference 35

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Observation 48ccd060-0e5c-45b9-97db-e0950f13f6c0 · outbound

This paper cites Simultaneous deep transfer across domains and tasks.

Task-Assisted Domain Adaptation with Anchor Tasks Simultaneous deep transfer across domains and tasks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.402461Z

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Observation 8685d23a-dbfe-4b02-a4e8-7910cf0ce0ca · outbound

This paper cites Black, Ivan Laptev, and Cordelia Schmid.

Task-Assisted Domain Adaptation with Anchor Tasks Black, Ivan Laptev, and Cordelia Schmid

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.381438Z

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Observation cc28ba97-efdb-4b5b-bdaf-c786f583d16f · outbound

This paper cites Pad-net: Multi-tasks guided prediction-and-distillation net- work for simultaneous depth estimation and scene parsing.

Task-Assisted Domain Adaptation with Anchor Tasks Pad-net: Multi-tasks guided prediction-and-distillation net- work for simultaneous depth estimation and scene parsing

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.360461Z

Source-reported events for the cited work

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Observation 642e6484-6df1-4f34-8f4a-c6302fd1ced3 · outbound

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Task-Assisted Domain Adaptation with Anchor Tasks Unresolved cited work

Reference 39

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Observation 76d2caca-14a7-43e3-967a-9225f60e31e7 · outbound

This paper cites Shen, Leonidas J.

Task-Assisted Domain Adaptation with Anchor Tasks Shen, Leonidas J

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.325399Z

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Observation 6f2ee980-9694-4c24-b1f7-852afb9e27d5 · outbound

This paper cites Funkhouser.

Task-Assisted Domain Adaptation with Anchor Tasks Funkhouser

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.304943Z

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Observation f1b0eab1-d85b-462b-8056-3c291691db5f · outbound

This paper cites A brief introduction to weakly supervised learning.

Task-Assisted Domain Adaptation with Anchor Tasks A brief introduction to weakly supervised learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:59:36.282505Z

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.

Pith citing papers

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