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Paper Citation Record · LEDGER

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation

As of 22 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2507.10160.

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

pith.paper-citation-record.v1
2507.10160 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:45:10.487184Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

57 of 57 outbound references displayed

  • verified exact8
  • verified fuzzy16
  • unresolved23
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch8

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5edbedf2-c29d-4468-b282-1239f48be22b · outbound

This paper cites VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting

Reference 1

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Observation ea8a93a9-b3ac-49bf-8e17-ff94782a06d1 · outbound

This paper cites Flower: A Friendly Federated Learning Research Framework.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Flower: A Friendly Federated Learning Research Framework

Reference 2

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Observation b4e61677-96cc-4283-845b-359d2014b56b · outbound

This paper cites Neurocomputing 342, 125–136 (May 2019).

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Neurocomputing 342, 125–136 (May 2019)

Reference 3

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Observation a27bfc90-9fbb-4781-959e-aaf0766229d9 · outbound

This paper cites Domain-Specific Batch Normalization for Unsupervised Domain Adaptation.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Domain-Specific Batch Normalization for Unsupervised Domain Adaptation

Reference 4

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local_arxiv, observed 2026-08-06T17:45:13.244024Z

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Observation 7f316fe2-b906-423c-b673-f4018e4e4a18 · outbound

This paper cites an unresolved cited work.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Unresolved cited work

Reference 5

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Observation 258ff7ea-984c-4b95-8b3f-97d51446b741 · outbound

This paper cites A Baseline for Few-Shot Image Classification.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation A Baseline for Few-Shot Image Classification

Reference 6

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Observation b21734e8-8804-4aa1-b8c9-985d3a307c2c · outbound

This paper cites https://doi.org/10.5281/zenodo.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation https://doi.org/10.5281/zenodo

Reference 7

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Observation 86b719ad-a3b1-467d-a1b7-bd64471f0e9c · outbound

This paper cites In: Teh, Y .W., Titterington, M.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation In: Teh, Y .W., Titterington, M

Reference 8

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 47df25ae-b0b1-4cc5-b9fa-59f3edb5eefc · outbound

This paper cites A Broader Study of Cross-Domain Few-Shot Learning.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation A Broader Study of Cross-Domain Few-Shot Learning

Reference 9

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Observation 465ccfbe-4aa9-4e9a-afa4-f37822e98c45 · outbound

This paper cites Federated Learning for Mobile Keyboard Prediction.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Federated Learning for Mobile Keyboard Prediction

Reference 10

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Observation 1f34599b-2af9-4c18-adbf-67ff77921fd7 · outbound

This paper cites In: 2016 IEEE conference on computer vision and pattern recognition (CVPR).

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation In: 2016 IEEE conference on computer vision and pattern recognition (CVPR)

Reference 11

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Observation acb7dde7-1f6a-46b8-83de-da4ef529c306 · outbound

This paper cites A Closer Look at Prototype Classifier for Few-shot Image Classification.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation A Closer Look at Prototype Classifier for Few-shot Image Classification

Reference 12

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Observation 36f6fbdd-8ec8-47e6-831b-6ab904986369 · outbound

This paper cites In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 14

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Observation a41e14ea-3181-4ba3-949a-920a5de4230c · outbound

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Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Unresolved cited work

Reference 15

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5cd0e242-77b1-4f2c-93ab-7dd3b369e900 · outbound

This paper cites an unresolved cited work.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Unresolved cited work

Reference 16

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Observation 58f2a2f2-028f-4d52-a9e5-cbf926e913a9 · outbound

This paper cites IEEE Transactions on Artificial Intelligence 2(6), 508–518 (Dec 2021).

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation IEEE Transactions on Artificial Intelligence 2(6), 508–518 (Dec 2021)

Reference 17

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation fd18b3cb-945e-44b9-9f83-d19a9d331f1a · outbound

This paper cites an unresolved cited work.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f6a4c0d2-4e90-48bb-98e9-4b4c16d7130b · outbound

This paper cites In: Meila, M., 0001, T.Z.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation In: Meila, M., 0001, T.Z

Reference 19

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d5d55097-8f0b-4931-aff4-f2120a28bb30 · outbound

This paper cites Domain Impression: A Source Data Free Domain Adaptation Method.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Domain Impression: A Source Data Free Domain Adaptation Method

Reference 20

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 1fa8d129-aecf-40cc-a3e8-957a3350c0f9 · outbound

This paper cites https://www.wesort.ai/ (2023), accessed: 2023-10- 24.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation https://www.wesort.ai/ (2023), accessed: 2023-10- 24

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 99e61e02-bb8e-47bf-9bde-554a7857bbb6 · outbound

This paper cites ACS Sustainable Chemistry & Engineering 9(47), 15722–15738 (Nov 2021).

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation ACS Sustainable Chemistry & Engineering 9(47), 15722–15738 (Nov 2021)

Reference 22

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Observation 5539cbf4-c46c-4668-86fc-43d62f73a34e · outbound

This paper cites In: 2022 IEEE/CVF conference on computer vision and pattern recognition (CVPR).

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation In: 2022 IEEE/CVF conference on computer vision and pattern recognition (CVPR)

Reference 23

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Observation 07b82630-1141-47db-aa57-416eb7ef4e1f · outbound

This paper cites In: 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Workshop Track Proceedings.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation In: 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Workshop Track Proceedings

Reference 24

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Observation 24f49d91-1e2c-4763-abfc-3fb0692f394b · outbound

This paper cites In: Proceedings of the 37th interna- tional conference on machine learning.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation In: Proceedings of the 37th interna- tional conference on machine learning

Reference 25

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Observation b13a8112-614f-4a81-aeae-6f630ad6c916 · outbound

This paper cites Journal of Machine Learning Research 9(nov), 2579–2605 (2008).

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Journal of Machine Learning Research 9(nov), 2579–2605 (2008)

Reference 26

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Observation fe4d9c1d-980e-4dd5-9e5f-e57cf657ec0c · outbound

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Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Unresolved cited work

Reference 27

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Observation 5cbb9cb2-e39d-4fdf-a40e-fdbd26e2166a · outbound

This paper cites IEEE Trans- actions on Systems, Man, and Cybernetics: Systems (2023).

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation IEEE Trans- actions on Systems, Man, and Cybernetics: Systems (2023)

Reference 28

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Observation 586a4880-66f6-4ad8-9f50-89868c0836bb · outbound

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Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation In: Singh, A., Zhu, J

Reference 29

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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This paper cites (eds.) Neural Information Processing Systems, pp.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation (eds.) Neural Information Processing Systems, pp

Reference 30

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Observation 53e4f320-5b58-4320-90b8-43a396c6aedf · outbound

This paper cites Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 31

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Observation f4fade5e-d6ed-47a6-a7b7-d4f2de23f58a · outbound

This paper cites In: Proceedings of the IEEE international conference on com- puter vision.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation In: Proceedings of the IEEE international conference on com- puter vision

Reference 32

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Observation 0c66d33b-8607-4fef-a4cc-51c9fa59d84e · outbound

This paper cites The Effectiveness of Data Augmentation in Image Classification using Deep Learning.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation The Effectiveness of Data Augmentation in Image Classification using Deep Learning

Reference 33

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Observation 1d6af76e-de9a-46c9-95b8-b46d7084d89e · outbound

This paper cites Neurocomputing 506, 418–429 (Sep 2022).

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Neurocomputing 506, 418–429 (Sep 2022)

Reference 34

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doi, observed 2026-08-06T17:45:10.733754Z

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Observation b2fcc2f2-f5a7-45bb-87e1-c2e728f15c44 · outbound

This paper cites International Journal of Computer Vision (IJCV) 115(3), 211–252 (Dec 2015).

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation International Journal of Computer Vision (IJCV) 115(3), 211–252 (Dec 2015)

Reference 35

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Unavailable: canonical work link unavailable.

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Observation bb991b20-8de2-4e30-974c-d9d179d567b7 · outbound

This paper cites In: Proceedings of the 13th International Conference on Pattern Recog- nition Applications and Methods - V olume 1: ICPRAM.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation In: Proceedings of the 13th International Conference on Pattern Recog- nition Applications and Methods - V olume 1: ICPRAM

Reference 36

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doi, observed 2026-08-06T17:45:10.684802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:45:10.372376Z digest=sha256:5d80b4755da1292efe438a5616ee7a113ef9aa7f3fc3450546a90b068b6278fb

Observation b8e80679-0d48-4cdf-8459-e441e7b5e4ec · outbound

This paper cites In: Proceedings of the 32nd European Symposium on Artificial Neural Networks, Com- putational Intelligence and Machine Learning (ESANN 2024).

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation In: Proceedings of the 32nd European Symposium on Artificial Neural Networks, Com- putational Intelligence and Machine Learning (ESANN 2024)

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:14.581298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:45:10.376922Z digest=sha256:2faaea106d9d6f585e508e5e0dac867afe16de21683a7c8441b486ae37f4f5be

Observation f1d9cc31-d0f3-4ad5-89bd-25d38b553cf0 · outbound

This paper cites In: Daniilidis, K., Maragos, P., Paragios, N.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation In: Daniilidis, K., Maragos, P., Paragios, N

Reference 38

Resolution
verified exact
doi, observed 2026-08-06T17:45:10.652920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:45:10.381870Z digest=sha256:e5d487dbb663d1f21430a10a7fdda4202ce03a3043f4bd745f9fe1f3bebe6e53

Observation 98ceaaa9-735c-4055-8ffb-4674376ab67b · outbound

This paper cites In: Proc.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation In: Proc

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:14.413350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:45:10.387052Z digest=sha256:8589ab9d80567e45baef2641e5c046a2ec07fe64193ca3b80e2adf0ee694a609

Observation d8ab0a8d-b295-4689-8399-bc20a4ccd55b · outbound

This paper cites Acm Computing Surveys 54(9), 1–38 (Oct 2021).

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Acm Computing Surveys 54(9), 1–38 (Oct 2021)

Reference 40

Resolution
verified exact
doi, observed 2026-08-06T17:45:10.625082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:45:10.391210Z digest=sha256:74032726c437cc4fbb33e86dd7c8bbc35031625e218769aea7c153cc9c0ed42f

Observation b2c158a4-e4f9-49e5-868d-066c9b53c273 · outbound

This paper cites In: Guyon, I., Luxburg, U.v., Bengio, S., Wallach, H.M., Fergus, R., Vishwanathan, S.V .N., Garnett, R.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation In: Guyon, I., Luxburg, U.v., Bengio, S., Wallach, H.M., Fergus, R., Vishwanathan, S.V .N., Garnett, R

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:14.276524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:45:10.395886Z digest=sha256:f2de2fa2d485af2268947baff677476eedd7d315903ab3afdbbf0743b81db0ba

Observation 020a80d0-009d-4401-a4de-cb70bce5a390 · outbound

This paper cites A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T17:45:10.400495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:45:10.400495Z digest=sha256:50d9ec9e4b7a3a0a4905006c6da3e4452055857fe39d385160ac204b5d3e86b6

Observation 94b1b043-4d02-4690-ad18-837b0488ab2d · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems 34, 9587–9603 (2021), https://api.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation IEEE Transactions on Neural Networks and Learning Systems 34, 9587–9603 (2021), https://api

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:14.127219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:45:10.406701Z digest=sha256:e35117f532f4327146d1c11fd8d0e2b08afa8dbd775ba5b566604361640ea801

Observation c75a6d3b-6905-40fc-a7b6-7990decb79b7 · outbound

This paper cites In: AAAI conference on artificial intelligence.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation In: AAAI conference on artificial intelligence

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T17:45:10.411595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:45:10.411595Z digest=sha256:ec48aae63e2ee175cc636c4effd81c0d16ed1c72a8b995dd83b66ee7aed3bb91

Observation f022a372-84c5-4d6d-a567-230219c6a6f2 · outbound

This paper cites In: Proceedings of the 36th International Confer- ence on Neural Information Processing Systems.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation In: Proceedings of the 36th International Confer- ence on Neural Information Processing Systems

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:13.983358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:45:10.416634Z digest=sha256:ab8155e58043aae6075afa968ae9ddb69bd639f2247cf04344fd008423b22a81

Observation 13a523f7-3655-4895-b118-807e7141c863 · outbound

This paper cites an unresolved cited work.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:45:13.835596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:45:10.422788Z digest=sha256:482a56c406d133f2e8b2e695777796079c07d601ef3864115894ebcd44135619

Observation 7f2e782a-5939-42d8-ad5a-9ec713372166 · outbound

This paper cites Deep Hashing Network for Unsupervised Domain Adaptation.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Deep Hashing Network for Unsupervised Domain Adaptation

Reference 47

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T17:45:12.087469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:45:10.428368Z digest=sha256:67d3300be9bccb9ce5eda9abd67df5310314f8c610b556346461e6e849579a5c

Observation 92ad1568-5728-4ee7-ac23-b16dda9e2886 · outbound

This paper cites In: Lee, D., Sugiyama, M., Luxburg, U., Guyon, I., Garnett, R.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation In: Lee, D., Sugiyama, M., Luxburg, U., Guyon, I., Garnett, R

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:13.704750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:45:10.434922Z digest=sha256:aa77cbd04f79d60d2b50f1a848e3558ce2e0b5933e4affc4ee42fee5edf1ea61

Observation 44dc1242-1a3e-4465-a886-0d97d7738263 · outbound

This paper cites ACM Computing Surveys 53, 1–34 (Jun 2020).

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation ACM Computing Surveys 53, 1–34 (Jun 2020)

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T17:45:10.440630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:45:10.440630Z digest=sha256:4330b0f963b6519b604578b6762df1fca7499977f41419bd6fbcd0f5bfdc17a2

Observation 9cf30f21-943d-44ed-8ac4-ecf678d78ef8 · outbound

This paper cites an unresolved cited work.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Unresolved cited work

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T17:45:10.445559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:45:10.445559Z digest=sha256:af704982339768f3af7e55e600764b0ef78e464ff1eba693386197fd0da6abe7

Observation 2e9f1f00-c21e-4816-9382-55d5f718a1d3 · outbound

This paper cites Scientific Reports 14 (05 2024).

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Scientific Reports 14 (05 2024)

Reference 51

Resolution
verified exact
doi, observed 2026-08-06T17:45:10.568419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:45:10.450947Z digest=sha256:452fb1144b70140842e2715905409d9a77a90e3e539cb6906c68ebe0507c6414

Observation 65e78dac-fd97-4b91-941e-2bb47440b1e0 · outbound

This paper cites IEEE Transactions on Computers 73(04), 1086–1098 (apr 2024).

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation IEEE Transactions on Computers 73(04), 1086–1098 (apr 2024)

Reference 52

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T17:45:11.807747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:45:10.455608Z digest=sha256:276cbb80a9e4224752312fada4daf37c7e88be4a628129e3d95dab8b92da67bd

Observation 90ec0a81-87d2-417d-83e3-186c11cb8dd3 · outbound

This paper cites Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface

Reference 53

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T17:45:11.524585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:45:10.460197Z digest=sha256:405d0f75fd560feaa7b988a8faab6538b6151c9e3220ecaa14458538107fcc1c

Observation d56cf215-530e-47aa-a945-ed79d8823266 · outbound

This paper cites ACM Transactions on Intelligent Systems and Technology 10(2), 1–19 (Jan 2019).

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation ACM Transactions on Intelligent Systems and Technology 10(2), 1–19 (Jan 2019)

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T17:45:10.466722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:45:10.466722Z digest=sha256:b992566beac174b3116755acbb41a682cf8dd4b0827aebf87b7ebc1e79cca9de

Observation afb70384-d484-4d0b-95e2-87871b192450 · outbound

This paper cites an unresolved cited work.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:45:13.572985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:45:10.472471Z digest=sha256:efc7fdba6fb5b80836749ca70f33fc382f49780f089a6e6dc5e7a49f3b5d1e78

Observation bfcae9bd-1e77-451e-9570-2d18a1cd85e5 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence (2024).

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation In: Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:13.378806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:45:10.477719Z digest=sha256:a094efe7cd35602624abbc7ce3b6ae7495c572362756e6859fd051fecec548c3

Observation e1c336d6-14d7-4fb7-adc1-5d64d028c3e3 · outbound

This paper cites Few-Shot Adaptation of Pre-Trained Networks for Domain Shift.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Few-Shot Adaptation of Pre-Trained Networks for Domain Shift

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T17:45:10.482463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:45:10.482463Z digest=sha256:dc41e2b130fe7f1a9c036850d5121ac90508643de0ef59a5ed57d44ea3ecf22d

Observation b0842c11-7501-48d5-a7f8-0dc2b7d70bba · outbound

This paper cites IEEE Network 36(1), 159–165 (Jan 2022).

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation IEEE Network 36(1), 159–165 (Jan 2022)

Reference 58

Resolution
verified exact
doi, observed 2026-08-06T17:45:10.536414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:45:10.487184Z digest=sha256:65f4f0656b92ed57f4ac502d29e93fdb0142bfe751981af4b5b5d0d6a7782598

Pith citing papers

No inbound Pith citation observations are available.