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Paper Citation Record · LEDGER

Source-Free Domain Adaptation via Multi-view Contrastive Learning

As of 7 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2507.03321.

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

pith.paper-citation-record.v1
2507.03321 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:17:50.074805Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

52 of 52 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50a777f1-820a-48fe-9663-5d5c87b90cf2 · outbound

This paper cites Weakly-supervised domain adaptation via gan and mesh model for estimating 3d hand poses interact- ing objects.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Weakly-supervised domain adaptation via gan and mesh model for estimating 3d hand poses interact- ing objects

Reference 1

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Observation f108ee4f-ee82-45ef-ac1b-31f9457e71c2 · outbound

This paper cites Partial adversarial domain adap- tation.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Partial adversarial domain adap- tation

Reference 2

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Observation 944001dd-94dd-407f-b97f-d22516353af2 · outbound

This paper cites Homm: Higher-order moment match- ing for unsupervised domain adaptation.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Homm: Higher-order moment match- ing for unsupervised domain adaptation

Reference 3

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Observation 33465245-2711-408c-8ebb-ca438682d30c · outbound

This paper cites Leveraging meta-learning to improve unsupervised domain adap- tation.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Leveraging meta-learning to improve unsupervised domain adap- tation

Reference 4

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Observation a8b33560-d990-486b-b7c1-90275e9eee4e · outbound

This paper cites Domain adaptation in re- inforcement learning: a comprehensive and systematic study.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Domain adaptation in re- inforcement learning: a comprehensive and systematic study

Reference 5

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Observation ce199b23-f7f1-43d6-b39a-e114507d4606 · outbound

This paper cites Leveraging Blockchain and ANFIS for Optimal Supply Chain Management.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Leveraging Blockchain and ANFIS for Optimal Supply Chain Management

Reference 6

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Observation dac55a49-3047-45fa-aa3a-aafba58691bb · outbound

This paper cites Few-shot generative model for skeleton-based human action synthesis using cross- domain adversarial learning.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Few-shot generative model for skeleton-based human action synthesis using cross- domain adversarial learning

Reference 7

Resolution
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Observation 00a7fe49-38cc-461b-84b3-6b902e0b4c27 · outbound

This paper cites Unsupervised domain adaptation by backpropagation.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Unsupervised domain adaptation by backpropagation

Reference 8

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Observation bfb3d9c7-f640-4a64-8a27-f6333d7f4f16 · outbound

This paper cites Domain-adversarial training of neural networks.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Domain-adversarial training of neural networks

Reference 9

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Source-reported events for the cited work

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Observation 9b1934cf-f973-47de-88c9-1d2ea5f769f0 · outbound

This paper cites A kernel two-sample test.

Source-Free Domain Adaptation via Multi-view Contrastive Learning A kernel two-sample test

Reference 10

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Source-reported events for the cited work

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Observation d431fc7a-fa06-4905-aaa7-7d09592a6e65 · outbound

This paper cites Deep residual learning for image recognition.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Deep residual learning for image recognition

Reference 11

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Observation f6ee8c3c-fc83-4e95-a76d-a923d537f564 · outbound

This paper cites Model adaptation: Historical contrastive learning for unsupervised domain adap- tation without source data.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Model adaptation: Historical contrastive learning for unsupervised domain adap- tation without source data

Reference 12

Resolution
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Observation 0bc08fba-ff61-4e32-aace-2bbb6fbe62a7 · outbound

This paper cites Structure preserv- ing cycle-GAN for unsupervised medical image domain adaptation.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Structure preserv- ing cycle-GAN for unsupervised medical image domain adaptation

Reference 13

Resolution
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Observation 04f6153b-6946-4f6e-885f-64501272e05e · outbound

This paper cites Domain-invariant feature extrac- tion and fusion for cross-domain person re-identification.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Domain-invariant feature extrac- tion and fusion for cross-domain person re-identification

Reference 14

Resolution
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Source-reported events for the cited work

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Observation 3c194186-e0bf-44a3-9298-199f8f630b3f · outbound

This paper cites Visually source-free domain adaptation via adversarial style matching.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Visually source-free domain adaptation via adversarial style matching

Reference 15

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Source-reported events for the cited work

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Observation 024f2ff6-65eb-4bd1-9fb7-7c39638f75de · outbound

This paper cites Domain adaptation without source data.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Domain adaptation without source data

Reference 16

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Source-reported events for the cited work

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Observation 5f0f7a03-739c-4180-8f8b-41615d560536 · outbound

This paper cites Attribute-aligned domain-invariant feature learning for unsupervised domain adaptation person re-identification.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Attribute-aligned domain-invariant feature learning for unsupervised domain adaptation person re-identification

Reference 17

Resolution
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Source-reported events for the cited work

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Observation 0be66735-2187-4576-9840-2480ac9553ff · outbound

This paper cites A comprehensive survey on source- free domain adaptation.

Source-Free Domain Adaptation via Multi-view Contrastive Learning A comprehensive survey on source- free domain adaptation

Reference 18

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Observation 81486eb4-6809-4ebf-9107-7606349c0caa · outbound

This paper cites Domain invariant and class discrim- inative feature learning for visual domain adaptation.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Domain invariant and class discrim- inative feature learning for visual domain adaptation

Reference 19

Resolution
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Source-reported events for the cited work

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Observation 9edc97db-9d9d-4f97-b732-ac0c274e7ede · outbound

This paper cites Intelligent fault diagnosis by fusing domain adversarial training and maximum mean dis- crepancy via ensemble learning.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Intelligent fault diagnosis by fusing domain adversarial training and maximum mean dis- crepancy via ensemble learning

Reference 20

Resolution
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Observation fb68e5f3-0809-42cc-b4cf-dd2811e79742 · outbound

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

Source-Free Domain Adaptation via Multi-view Contrastive Learning Do we re- ally need to access the source data? source hypothesis transfer for unsupervised domain adaptation

Reference 21

Resolution
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Source-reported events for the cited work

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Observation ba7b32b3-5e03-427e-b37f-a13b08c70455 · outbound

This paper cites Domain adaptation with auxiliary target domain-oriented clas- sifier.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Domain adaptation with auxiliary target domain-oriented clas- sifier

Reference 22

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Observation aa963af2-34ee-45f0-93e7-0bea6dc50f05 · outbound

This paper cites Source data-absent unsupervised domain adaptation through hypothesis transfer and labeling transfer.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Source data-absent unsupervised domain adaptation through hypothesis transfer and labeling transfer

Reference 23

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Observation ac5fb880-b5b0-494b-9c12-f25c85a20898 · outbound

This paper cites Multi- domain adversarial feature generalization for person re-identification.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Multi- domain adversarial feature generalization for person re-identification

Reference 24

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Observation c1e90289-ea2a-4a80-8fac-1e0570b36733 · outbound

This paper cites An adaptive source-free unsuper- vised domain adaptation method for mechanical fault detection.

Source-Free Domain Adaptation via Multi-view Contrastive Learning An adaptive source-free unsuper- vised domain adaptation method for mechanical fault detection

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e416e3af-59b6-4a33-b8e4-ee3102c0388a · outbound

This paper cites Deep transfer learning with joint adaptation networks.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Deep transfer learning with joint adaptation networks

Reference 26

Resolution
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Source-reported events for the cited work

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Observation 9ed13f8a-51fa-48fa-ad2a-2aa5559f72dc · outbound

This paper cites Learning transferable features with deep adaptation networks.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Learning transferable features with deep adaptation networks

Reference 27

Resolution
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Source-reported events for the cited work

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Observation a9b64d58-2ffb-42cd-ad72-74f8c58879a3 · outbound

This paper cites Unsupervised domain adapta- tion with residual transfer networks.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Unsupervised domain adapta- tion with residual transfer networks

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e7864ca2-d354-4299-871f-d3080ebbd559 · outbound

This paper cites Source-free domain adaptation via dynamic pseudo labeling and Self-supervision.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Source-free domain adaptation via dynamic pseudo labeling and Self-supervision

Reference 29

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation db60807a-3d26-4fa9-a34b-2f7403460f7d · outbound

This paper cites Overcoming learning bias via Pro- totypical Feature Compensation for source-free domain adaptation.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Overcoming learning bias via Pro- totypical Feature Compensation for source-free domain adaptation

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1e0c7ce5-17ea-49ca-8391-f89fdff7e5d5 · outbound

This paper cites Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation

Reference 31

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:17:49.993343Z digest=sha256:f78cb96c6c27fcdc77649be0c161b19ae717c2f1aa403ee10b1d97fcd70aa1a1

Observation 0a99c3fa-fe27-4841-a3cd-797a0c7c0735 · outbound

This paper cites Semi-supervised domain adap- tation with auto-encoder via simultaneous learning.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Semi-supervised domain adap- tation with auto-encoder via simultaneous learning

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 670c0107-7a25-47e6-96c9-234e1d297f24 · outbound

This paper cites Source-free domain adaptation for rgb-d semantic seg- mentation with vision transformers.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Source-free domain adaptation for rgb-d semantic seg- mentation with vision transformers

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cd1d9006-d252-4673-8710-b097053adaa6 · outbound

This paper cites SS8: Source data-free domain adap- tation via deep clustering with weighted self-labelling.

Source-Free Domain Adaptation via Multi-view Contrastive Learning SS8: Source data-free domain adap- tation via deep clustering with weighted self-labelling

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:17:50.005243Z digest=sha256:fd3d0eef14d1c8d096d27d469f619846dfff521a2d187013ad4e5cebecdd0326

Observation 290401ab-bfde-455d-9f07-e5692116ac39 · outbound

This paper cites A Two-Stage Multi-Target Domain Adaptation Framework for Prediction of Key Perfor- mance Indicators Based on Adversarial Network.

Source-Free Domain Adaptation via Multi-view Contrastive Learning A Two-Stage Multi-Target Domain Adaptation Framework for Prediction of Key Perfor- mance Indicators Based on Adversarial Network

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:50.381424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:17:50.008906Z digest=sha256:1c7d11930b2814e473d9921f945cc9c4592e2c86946b2ccd313af5f54f990220

Observation 95d2a78c-31de-4a74-9c21-40b6fa1be0ae · outbound

This paper cites Enhancing aspect-based sentiment analysis using data augmentation based on back-translation.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Enhancing aspect-based sentiment analysis using data augmentation based on back-translation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:50.369242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:17:50.012896Z digest=sha256:6c466276f38a01efbd7855c58301d36d5a20e6f6e0ef3065e437929b15c73e11

Observation b86eb2e7-1c84-456a-a619-06eb04e394cd · outbound

This paper cites Discriminative adversarial do- main adaptation.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Discriminative adversarial do- main adaptation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:50.356966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:17:50.017189Z digest=sha256:72f374e8852584bad76b46ccf85b557aa4dc4ca052eceaf9a97a0eda49b6eb35

Observation 3dd1f165-e5f9-48c0-ab2b-28c877f3cc66 · outbound

This paper cites Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:17:50.167907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:17:50.020787Z digest=sha256:9f5e4fe738c6f87f876c358288b167a500da27bdd50418ec392cff546fd43c57

Observation fa78bf7e-8ae6-44df-8158-eda5f3225ebc · outbound

This paper cites Source-free domain adaptation with frozen multimodal foundation model.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Source-free domain adaptation with frozen multimodal foundation model

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:50.344644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:17:50.024571Z digest=sha256:f3df6b7ded2b4a299623003f270c11f2c8124b9b2af15eac439fc23d5142552e

Observation 4949f4d5-249c-4097-a9b7-1c011bfea332 · outbound

This paper cites Robust source-free domain adaptation with anti-adversarial samples training.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Robust source-free domain adaptation with anti-adversarial samples training

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:50.332523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:17:50.028303Z digest=sha256:f897c25d0a81574f81ccab773db514c7c355d146782f0593191c547dafa0395d

Observation 0f5eb765-e552-42d0-b414-f8f0bddb19a9 · outbound

This paper cites Instance-invariant domain adaptive object detection via progressive disentanglement.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Instance-invariant domain adaptive object detection via progressive disentanglement

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:50.320094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:17:50.031950Z digest=sha256:351c7e4cc65cde5167cb19bf289f841c2afd73bb5e788d60df7580b99fbfd7cf

Observation b44b8b8e-4eda-4de4-a2c3-614aada12fbb · outbound

This paper cites MI 2 GAN: generative adversar- ial network for medical image domain adaptation us- ing mutual information constraint.

Source-Free Domain Adaptation via Multi-view Contrastive Learning MI 2 GAN: generative adversar- ial network for medical image domain adaptation us- ing mutual information constraint

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:50.307701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:17:50.035545Z digest=sha256:0b07ac5729671ae53da58fa895fde59f30b11babf3801a79cc712b1898d06c74

Observation 07390a23-3e90-4287-9051-02249db52ff1 · outbound

This paper cites Unraveling the Mysteries of Label Noise in Source-Free Domain Adaptation: Theory and Practice.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Unraveling the Mysteries of Label Noise in Source-Free Domain Adaptation: Theory and Practice

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:50.294309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:17:50.039023Z digest=sha256:0bb69d9f1efd5e4ca3287b435f1062481b0d52b1b7b928113f2b4aee2688a743

Observation ebfd62f2-cf14-4111-939b-dec2ea6d1d72 · outbound

This paper cites Adversarial domain adaptation with domain mixup.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Adversarial domain adaptation with domain mixup

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:50.281004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:17:50.042859Z digest=sha256:5e84cf9493f5e343743d5af7472ef5525076e7d9f4793d99900c21409a200c77

Observation 4ffcc20b-6da8-4a00-82f1-e0efb882e5a4 · outbound

This paper cites CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation.

Source-Free Domain Adaptation via Multi-view Contrastive Learning CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T20:17:50.046710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:17:50.046710Z digest=sha256:abfa54c8b6f41cc9481387ba33cdccc3c5bc422989b8085a96dc6082ed9ded72

Observation 2633ee8a-d862-4155-bf04-004c7578ab12 · outbound

This paper cites Transformer-Based Source-Free Domain Adaptation.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Transformer-Based Source-Free Domain Adaptation

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:17:50.134916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:17:50.051084Z digest=sha256:1b73e64ebbc2ef7724f5fb4265ef2f416648097f4b54900e90947916d92464ff

Observation 6c173d66-6c92-4bf6-a21b-bdc38a944f17 · outbound

This paper cites Casting a BAIT for Offline and Online Source-free Domain Adaptation.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Casting a BAIT for Offline and Online Source-free Domain Adaptation

Reference 47

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T20:17:50.115872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:17:50.055582Z digest=sha256:f194a94f1d7dcc6a08975acb1adc3503d17c5a1bd430d5316c26e6a3bf185d38

Observation 098502bb-0209-49e1-aa22-3ff6e87df575 · outbound

This paper cites Source data-free unsupervised do- main adaptation for semantic segmentation.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Source data-free unsupervised do- main adaptation for semantic segmentation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:50.267389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:17:50.060406Z digest=sha256:d941b6d98e6bffb0eae283a37d000c5554e78cf001c2f88d06a449d5c96d0d6a

Observation a00d5040-2c2e-4610-8efa-85b8cfa710a3 · outbound

This paper cites Unsupervised domain adaptation us- ing robust class-wise matching.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Unsupervised domain adaptation us- ing robust class-wise matching

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:50.253686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:17:50.064141Z digest=sha256:cface3645d5567a8adbd0328812a8eed9acf3559425e53ddb2e09cde89d3d504

Observation f88480db-e996-4bc8-9aaa-07c8a515c517 · outbound

This paper cites Discriminative joint probability maximum mean discrepancy (DJP-MMD) for domain adaptation.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Discriminative joint probability maximum mean discrepancy (DJP-MMD) for domain adaptation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:50.241121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:17:50.067658Z digest=sha256:05d49e598c0f7994a817c716cf2fb4d7b2d24f35750fa04b542bdffae8b7ca95

Observation a807d888-1014-4beb-bf30-bcecdc55b6a4 · outbound

This paper cites Universal source-free domain adaptation method for cross-domain fault diagnosis of machines.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Universal source-free domain adaptation method for cross-domain fault diagnosis of machines

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:50.227861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:17:50.071132Z digest=sha256:5a21d8fe6546c24803dd5dc85939149043ca4aa9a51e52294cff240de5878675

Observation 1fd56f26-b142-4fd3-a8ea-8517ef142a32 · outbound

This paper cites Source-free domain adaptation with class prototype discovery.

Source-Free Domain Adaptation via Multi-view Contrastive Learning Source-free domain adaptation with class prototype discovery

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:50.213857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:17:50.074805Z digest=sha256:20503a6278111729237a98dbe6a10cc420c7118effd2100da1589262e58771d7

Pith citing papers

No inbound Pith citation observations are available.