Paper Citation Record · LEDGER

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset

As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2506.17931.

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

pith.paper-citation-record.v1
2506.17931 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:02:16.312761Z

measured 38 of 38 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

38 of 38 outbound references displayed

verified exact2
verified fuzzy25
unresolved11
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f62cbc2-3c57-42a7-b32e-becaf1490005 · outbound

This paper cites f-domain adver- sarial learning: Theory and algorithms.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset f-domain adver- sarial learning: Theory and algorithms

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.789496Z

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 07d6d507-2e87-4a84-914e-11b262ced3e3 · outbound

This paper cites A theory of learning from different domains.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset A theory of learning from different domains

Reference 2

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Source-reported events for the cited work

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Observation 22cb5466-a8d8-4eb9-9523-261944cad8aa · outbound

This paper cites Progressive feature alignment for unsupervised domain adaptation.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Progressive feature alignment for unsupervised domain adaptation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.768022Z

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 40e48b50-f5d4-470c-b2ff-2a00dd7e6e9a · outbound

This paper cites Towards discriminability and diversity: Batch nuclear-norm maximization under label insufficient situations.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Towards discriminability and diversity: Batch nuclear-norm maximization under label insufficient situations

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.755739Z

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 c47070be-1807-4617-8748-7779c6c6d672 · outbound

This paper cites Graduallyvanishingbridgeforadversarialdomainadaptation.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Graduallyvanishingbridgeforadversarialdomainadaptation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.742787Z

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 dc933e32-7e59-4ae3-8a1d-bb62996aecb1 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T19:02:16.199318Z

Source-reported events for the cited work

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Observation 233e727a-24cf-4a79-a7bd-af368c5a0fac · outbound

This paper cites Unsupervised domain adaptation by back- propagation.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Unsupervised domain adaptation by back- propagation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.731407Z

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 7e3cfaf1-c1dd-405b-bd3a-d5b6707de283 · outbound

This paper cites Domain- adversarial training of neural networks.The journal of machine learning research, 17(1):2096–2030, 2016.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Domain- adversarial training of neural networks.The journal of machine learning research, 17(1):2096–2030, 2016

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.719417Z

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 6f746a4f-2c82-429a-8466-02bc70d5893b · outbound

This paper cites Robertson.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Robertson

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.707070Z

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 6ec6bb35-60ee-4d33-b144-89704a923cc9 · outbound

This paper cites Domain-Adaptive Learning: Unsupervised Adaptation for Histology Images with Improved Loss Function Combination.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Domain-Adaptive Learning: Unsupervised Adaptation for Histology Images with Improved Loss Function Combination

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:02:16.395110Z

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 37971707-07da-4998-86d0-e0a43ff318cc · outbound

This paper cites Deep residual learning for image recognition.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Deep residual learning for image recognition

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T19:02:16.219405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47fe1636-e36b-4b12-8691-b892a8d5c79c · outbound

This paper cites Deep residual learning for image recognition.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Deep residual learning for image recognition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T19:02:16.223544Z

Source-reported events for the cited work

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Observation 96620306-cd26-423c-acc7-e5ec6bd0aa91 · outbound

This paper cites Minimum class confusion for versatile domain adaptation.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Minimum class confusion for versatile domain adaptation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.677464Z

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 664b9da0-f020-45f6-b5e5-7b976cc41ad2 · outbound

This paper cites Deep adversarial atten- tion alignment for unsupervised domain adaptation: the benefit of target expecta- tion maximization.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Deep adversarial atten- tion alignment for unsupervised domain adaptation: the benefit of target expecta- tion maximization

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.664982Z

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 56ab865a-2083-4edd-8fcc-c22fdf8306d1 · outbound

This paper cites Discriminative clustering by regularized information maximization.Advances in neural information processing systems, 23, 2010.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Discriminative clustering by regularized information maximization.Advances in neural information processing systems, 23, 2010

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.652993Z

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 153249ea-e6aa-4144-9da8-2d10b9f6f5fb · outbound

This paper cites Attending to discriminative certainty for domain adaptation.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Attending to discriminative certainty for domain adaptation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.639739Z

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 4ae7d026-7048-4742-8461-4fca7992d850 · outbound

This paper cites Sliced wasserstein discrepancy for unsupervised domain adaptation.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Sliced wasserstein discrepancy for unsupervised domain adaptation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.626882Z

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 7f0f964b-0355-4397-a308-62bb8da2f915 · outbound

This paper cites Semantic Concentration for Domain Adaptation.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Semantic Concentration for Domain Adaptation

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:02:16.377534Z

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 a92814cc-4d9c-4ea9-8864-6ec3b536adec · outbound

This paper cites Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.612410Z

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 87e2d110-d793-4395-b86a-e6dfc3e9aad2 · outbound

This paper cites Feature pyramid networks for object detection.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Feature pyramid networks for object detection

Reference 20

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Source-reported events for the cited work

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Observation f8a17430-113a-4a22-9396-673efed49c17 · outbound

This paper cites Learning trans- ferable features with deep adaptation networks.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Learning trans- ferable features with deep adaptation networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.591506Z

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 bd49de92-fbfa-42ec-892e-24abba8dab60 · outbound

This paper cites Conditional adversarial domain adaptation.Advances in neural information processing systems, 31, 2018.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Conditional adversarial domain adaptation.Advances in neural information processing systems, 31, 2018

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.578870Z

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 df8705af-a099-4190-8b7b-b5df857313a4 · outbound

This paper cites Decoupled weight decay regularization.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Decoupled weight decay regularization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T19:02:16.263974Z

Source-reported events for the cited work

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Observation 26de4a97-920e-416a-8c01-db4c76ed6fe4 · outbound

This paper cites Fixbi: Bridg- ing domain spaces for unsupervised domain adaptation.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Fixbi: Bridg- ing domain spaces for unsupervised domain adaptation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.558656Z

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 a01803d2-1028-49d3-ac3e-9922dba5391b · outbound

This paper cites Generation of realistic navigation paths for web site testing using rnn and gan.Journal of Web Engineering, pages 2571–2604, 2021.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Generation of realistic navigation paths for web site testing using rnn and gan.Journal of Web Engineering, pages 2571–2604, 2021

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.546256Z

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 b815a744-e63c-4831-b8c4-7b95f4d42cf3 · outbound

This paper cites Multi-adversarial domain adaptation.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Multi-adversarial domain adaptation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.530842Z

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 18c3d424-572f-42e7-9da2-c46ab326b49d · outbound

This paper cites Moment matching for multi-source domain adaptation.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Moment matching for multi-source domain adaptation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T19:02:16.275982Z

Source-reported events for the cited work

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Observation cda40c04-cedf-4c6f-b0ec-9a506279a04f · outbound

This paper cites A closer look at smoothness in domain adversar- ial training.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset A closer look at smoothness in domain adversar- ial training

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.512062Z

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 8bfb82b0-ffbe-4550-adff-89b9efbc32ca · outbound

This paper cites Adapting visual cat- egory models to new domains.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Adapting visual cat- egory models to new domains

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.500418Z

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 65534654-a4e7-4389-916f-7be4ac8209d1 · outbound

This paper cites Maxi- mum classifier discrepancy for unsupervised domain adaptation.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Maxi- mum classifier discrepancy for unsupervised domain adaptation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.487888Z

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 e471c8d4-12ad-4c98-94c2-382c83da8f65 · outbound

This paper cites Hilbert space em- beddings of conditional distributions with applications to dynamical systems.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Hilbert space em- beddings of conditional distributions with applications to dynamical systems

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.475776Z

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 e45adbd5-c6b0-4ca3-b61a-2d2fa56e8e35 · outbound

This paper cites Unsupervised domain adaptation via struc- turally regularized deep clustering.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Unsupervised domain adaptation via struc- turally regularized deep clustering

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.460010Z

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 872e1998-91da-4ab3-9c8c-86da7b72bb39 · outbound

This paper cites Patches Are All You Need?.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Patches Are All You Need?

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T19:02:16.293877Z

Source-reported events for the cited work

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Observation bc8962f1-12c3-4b5c-a656-8bd247561372 · outbound

This paper cites Adversarial Discriminative Domain Adaptation.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Adversarial Discriminative Domain Adaptation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T19:02:16.298011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8f3f532-75fc-4877-8adc-cbc66f64de09 · outbound

This paper cites Visualizing data using t-sne.Jour- nal of machine learning research, 9(11), 2008.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Visualizing data using t-sne.Jour- nal of machine learning research, 9(11), 2008

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T19:02:16.301682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fca1460-7cef-4542-af0e-440c539b4ee1 · outbound

This paper cites Deep hashing network for unsupervised domain adaptation.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Deep hashing network for unsupervised domain adaptation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.441588Z

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 6dbcdc5c-6941-4712-839c-957605f5b979 · outbound

This paper cites How transferable are features in deep neural networks?Advances in neural information processing systems, 27, 2014.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset How transferable are features in deep neural networks?Advances in neural information processing systems, 27, 2014

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T19:02:16.308906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d08dbc3-0b65-4697-9cc8-8d2c2a16eaab · outbound

This paper cites Bridging the- ory and algorithm for domain adaptation.

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset Bridging the- ory and algorithm for domain adaptation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:02:16.420667Z

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.