Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:48:14.182550Z
Paper Citation Record · LEDGER
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation
As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2506.17232.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
37 of 37 outbound references displayed
- verified exact0
- verified fuzzy34
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation eb37fe32-7302-4a26-be34-53d28886d55d · outbound
This paper cites Self- supervised representation learning for geospatial objects: A survey.Informa- tion Fusion, page 103265, 2025.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Self- supervised representation learning for geospatial objects: A survey.Informa- tion Fusion, page 103265, 2025
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:20.531928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b2ad9cb6-a4d6-40ea-8dc5-d0016038ebd7 · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation An image is worth 16x16 words: Transformers for image recognition at scale
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:20.373847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3469fddd-f513-471b-9e82-7c6c7fd0123c · outbound
This paper cites Cross-domain gradi- ent discrepancy minimization for unsupervised domain adaptation.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Cross-domain gradi- ent discrepancy minimization for unsupervised domain adaptation
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:20.161052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 722be3dd-a857-4a7d-8e1c-f30846bba378 · outbound
This paper cites Learning to detect open classes for universal domain adap- tation.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Learning to detect open classes for universal domain adap- tation
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:19.979994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d4a5eff2-e0ff-44fb-8804-0c8ff47039a9 · outbound
This paper cites Mic: Masked image consistency for context-enhanced domain adaptation.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Mic: Masked image consistency for context-enhanced domain adaptation
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:19.752662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c4210247-bb35-4721-a577-0a67c63640b1 · outbound
This paper cites Multi- source domain adaptation for panoramic semantic segmentation.Information Fusion, 117:102909, 2025.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Multi- source domain adaptation for panoramic semantic segmentation.Information Fusion, 117:102909, 2025
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:19.468147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 55984c79-7067-46b7-8a86-3e100dfc47fa · outbound
This paper cites Patch-mix transformer for unsupervised domain adaptation: A game perspective.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Patch-mix transformer for unsupervised domain adaptation: A game perspective
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:19.224620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0de40bf5-4b27-4939-a9fc-bcd8fca4df05 · outbound
This paper cites Crossfuse: A novel cross attention mechanism based infrared and visible image fusion approach.Information Fusion, 103:102147, 2024.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Crossfuse: A novel cross attention mechanism based infrared and visible image fusion approach.Information Fusion, 103:102147, 2024
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:18.992995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e61c108a-3cca-4a90-84cd-928fbd09a047 · outbound
This paper cites Cross-domain adaptive clustering for semi-supervised domain adaptation.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Cross-domain adaptive clustering for semi-supervised domain adaptation
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:18.820480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8beb98ae-1463-402d-b98d-6ea509cd9eda · outbound
This paper cites Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:18.681704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5d52357b-6e97-4c06-ba99-7c223487bfc2 · outbound
This paper cites Foregroundguidanceandmulti- layer feature fusion for unsupervised object discovery with transformers.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Foregroundguidanceandmulti- layer feature fusion for unsupervised object discovery with transformers
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:18.478684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7ec3aebc-f7dd-44bb-9a29-04327cc6249d · outbound
This paper cites F2net: Learning to focus on the foreground for unsupervised video object segmentation.AAAI, 35(3):2109–2117, 2021.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation F2net: Learning to focus on the foreground for unsupervised video object segmentation.AAAI, 35(3):2109–2117, 2021
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:18.327105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8434ee43-ca14-495a-817f-52b35ce642af · outbound
This paper cites Explicitly fusing plug-and-play guidance of source prototype into target sub- space for domain adaptation.Information Fusion, 123:103197, 2025.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Explicitly fusing plug-and-play guidance of source prototype into target sub- space for domain adaptation.Information Fusion, 123:103197, 2025
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:18.107109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 42c6796f-38db-477d-b2de-df11db4763b3 · outbound
This paper cites Explicitly fusing plug-and-play guidance of source prototype into target sub- space for domain adaptation.Information Fusion, page 103197, 2025.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Explicitly fusing plug-and-play guidance of source prototype into target sub- space for domain adaptation.Information Fusion, page 103197, 2025
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:17.887091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5badc355-99e4-42b4-b173-9fcaa32a8253 · outbound
This paper cites Making the best of both worlds: A domain-oriented transformer for unsupervised domain adaptation.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Making the best of both worlds: A domain-oriented transformer for unsupervised domain adaptation
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:17.713500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 74899426-188b-443e-90f3-7af5da237ac3 · outbound
This paper cites Fixbi: Bridging domain spaces for unsupervised domain adaptation.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Fixbi: Bridging domain spaces for unsupervised domain adaptation
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:17.568409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e15e644c-ff87-4f35-bd74-e8d12d8e499f · outbound
This paper cites Moment matching for multi-source domain adaptation.Int.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Moment matching for multi-source domain adaptation.Int
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:17.299474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2471db44-e955-45e1-a54a-eae4cc6cbf3b · outbound
This paper cites VisDA: The Visual Domain Adaptation Challenge.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation VisDA: The Visual Domain Adaptation Challenge
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:48:12.968641Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b099c67f-313c-4603-9e9f-d3c8156e23f1 · outbound
This paper cites Domain-specificity inducing transformers for source-free domain adaptation.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Domain-specificity inducing transformers for source-free domain adaptation
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:17.098439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b72827f9-3efd-480e-be85-faf75bc570ae · outbound
This paper cites Aligning non-causal factors for transformer-based source- free domain adaptation.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Aligning non-causal factors for transformer-based source- free domain adaptation
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:16.911595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e052d641-3d40-4dbb-a5fd-ce1b4374dae9 · outbound
This paper cites On the Origin of Implicit Regularization in Stochastic Gradient Descent.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation On the Origin of Implicit Regularization in Stochastic Gradient Descent
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:48:13.191636Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ca33106-2ef3-4fb7-b1f8-2bd7d867cf3e · outbound
This paper cites Training data-efficient image transformers & distillation through attention.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Training data-efficient image transformers & distillation through attention
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:16.724221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 51c3c8d5-7172-49c5-8f37-873ffa7d65c3 · outbound
This paper cites Zico Kolter, Louis- Philippe Morency, and Ruslan Salakhutdinov.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Zico Kolter, Louis- Philippe Morency, and Ruslan Salakhutdinov
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:16.494098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 35e5b389-9c89-44a6-b7e7-d80f303f2b5f · outbound
This paper cites Deep hashing network for unsupervised domain adaptation.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Deep hashing network for unsupervised domain adaptation
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:16.252581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 03028012-6856-46f9-98bb-6c0d16029de5 · outbound
This paper cites Nwpu-crowd: A large-scale benchmark for crowd counting and localization.TPAMI, 43(6):2141–2149, 2020.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Nwpu-crowd: A large-scale benchmark for crowd counting and localization.TPAMI, 43(6):2141–2149, 2020
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:16.132157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 90a219e8-638e-4c98-b9d9-0f38a45ef816 · outbound
This paper cites Multidimensional fusion of frequency and spatial domain information for enhanced camouflaged object detection.Information Fusion, 117:102871, 2025.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Multidimensional fusion of frequency and spatial domain information for enhanced camouflaged object detection.Information Fusion, 117:102871, 2025
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:16.008847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d79595fc-f7f7-4320-a9c1-a8542df3d714 · outbound
This paper cites Multi-teacher self-distillation based on adaptive weighting and activation pattern for enhancing lightweight arrhythmia recognition.Information Fusion, 122:103178, 2025.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Multi-teacher self-distillation based on adaptive weighting and activation pattern for enhancing lightweight arrhythmia recognition.Information Fusion, 122:103178, 2025
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:15.864860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 89fc6056-7b28-4eeb-a67d-1ae3474dd4c2 · outbound
This paper cites Aid: A benchmark data set for perfor- mance evaluation of aerial scene classification.TGRS, 55(7):3965–3981, 2017.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Aid: A benchmark data set for perfor- mance evaluation of aerial scene classification.TGRS, 55(7):3965–3981, 2017
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:15.747246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f6da2053-e269-44c1-b6b7-344cb4b5c404 · outbound
This paper cites Universal domain adaptation for remote sensing image scene classification.TGRS, 61, 2023.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Universal domain adaptation for remote sensing image scene classification.TGRS, 61, 2023
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:15.621173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8ac235c6-36dd-42f0-854c-4b2270f91c64 · outbound
This paper cites Cdtrans: Cross-domain transformer for unsupervised domain adaptation.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Cdtrans: Cross-domain transformer for unsupervised domain adaptation
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:15.451663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f7520674-bc4f-4cc5-a0ac-0ee841b1ae37 · outbound
This paper cites Ccin-sa: Composite cross modal interaction network with attention enhancement for multimodal sentiment analysis.Information Fusion, page 103230, 2025.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Ccin-sa: Composite cross modal interaction network with attention enhancement for multimodal sentiment analysis.Information Fusion, page 103230, 2025
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:15.304765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 96272c9a-12b5-4dbc-9b95-63c2781c2742 · outbound
This paper cites Pseudo-margin-based universal domain adaptation.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Pseudo-margin-based universal domain adaptation
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:15.099540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9eb7deaa-103d-4496-8518-e8cdb94fe0df · outbound
This paper cites Universal domain adaptation.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Universal domain adaptation
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:14.954869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0a2095f3-57f9-4851-980e-1d7d55b9a0a4 · outbound
This paper cites Dlme: Deep local-flatness manifold embedding.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Dlme: Deep local-flatness manifold embedding
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:14.822668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c7e06666-6f2e-4825-878c-346220fc6ae3 · outbound
This paper cites an unresolved cited work.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:48:14.653020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5c22a12a-8ee4-4c9e-880a-066d1807e933 · outbound
This paper cites Free lunch for domain adversarial training: En- vironment label smoothing.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Free lunch for domain adversarial training: En- vironment label smoothing
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:14.486491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ccf6b0c5-c565-4e43-867b-5f14cc0dd062 · outbound
This paper cites Multi- sourcemulti-modaldomainadaptation.Information Fusion, 117:102862, 2025.
PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation Multi- sourcemulti-modaldomainadaptation.Information Fusion, 117:102862, 2025
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:48:14.373791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Pith citing papers
No inbound Pith citation observations are available.