Paper Citation Record · LEDGER

VisDA: The Visual Domain Adaptation Challenge

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:1710.06924.

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

pith.paper-citation-record.v1
1710.06924 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:54:03.511369Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

575
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7e9465d4-f4dd-489d-9749-7ed83aab487d · inbound

Tent: Fully Test-time Adaptation by Entropy Minimization cites this paper.

Tent: Fully Test-time Adaptation by Entropy Minimization VisDA: The Visual Domain Adaptation Challenge

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-16T10:09:24.375862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0f281db8-eaff-4b82-9e86-b3d7e53b23a9 · inbound

MemFlow: A Lightweight Forward Memorizing Framework for Quick Domain Adaptive Feature Mapping cites this paper.

MemFlow: A Lightweight Forward Memorizing Framework for Quick Domain Adaptive Feature Mapping VisDA: The Visual Domain Adaptation Challenge

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-24T03:43:50.267917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0b8d0c25-8e2f-4112-a6bf-a05463495215 · inbound

E-MLNet: Enhanced Mutual Learning for Universal Domain Adaptation with Sample-Specific Weighting cites this paper.

E-MLNet: Enhanced Mutual Learning for Universal Domain Adaptation with Sample-Specific Weighting VisDA: The Visual Domain Adaptation Challenge

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T19:54:03.511369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18e3af63-ba7a-4c1a-996d-10d28c375002 · inbound

Transition fronts of combustion reaction-diffusion equations in domains with multiple cylindrical branches cites this paper.

Transition fronts of combustion reaction-diffusion equations in domains with multiple cylindrical branches VisDA: The Visual Domain Adaptation Challenge

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-13T20:02:04.305231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff3f3100-07cc-4728-92cd-0091efb4a188 · inbound

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation cites this paper.

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation VisDA: The Visual Domain Adaptation Challenge

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:03:25.287501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 18e64606-e8d1-49f9-a03b-270ea44d2fe6 · inbound

All in One: A Unified Synthetic Data Pipeline for Multimodal Video Understanding cites this paper.

All in One: A Unified Synthetic Data Pipeline for Multimodal Video Understanding VisDA: The Visual Domain Adaptation Challenge

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:31:03.910792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 22d73e19-f8d9-4939-890f-7c1bad2ec98b · inbound

Source-Free Domain Adaptation with Vision-Language Prior cites this paper.

Source-Free Domain Adaptation with Vision-Language Prior VisDA: The Visual Domain Adaptation Challenge

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:36:02.224234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1d7dc6e0-5913-40d5-8f24-97eb04ee9a43 · inbound

Rethinking the Need for Source Models: Source-Free Domain Adaptation from Scratch Guided by a Vision-Language Model cites this paper.

Rethinking the Need for Source Models: Source-Free Domain Adaptation from Scratch Guided by a Vision-Language Model VisDA: The Visual Domain Adaptation Challenge

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-08T18:28:58.231630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d487c5fb-6fef-40a8-b92a-1749ee4d0591 · inbound

Locality-aware Private Class Identification for Domain Adaptation with Extreme Label Shift cites this paper.

Locality-aware Private Class Identification for Domain Adaptation with Extreme Label Shift VisDA: The Visual Domain Adaptation Challenge

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:21:09.756521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8116dd19-56cf-4f1b-b256-82d29fa1c749 · inbound

Trust-Aware Joint Feature-Prediction Discrepancy for Robust Domain Adaptation cites this paper.

Trust-Aware Joint Feature-Prediction Discrepancy for Robust Domain Adaptation VisDA: The Visual Domain Adaptation Challenge

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-06-30T12:04:39.146064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3ee11b24-bd26-472e-956e-6ca854ffcb99 · inbound

Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging cites this paper.

Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging VisDA: The Visual Domain Adaptation Challenge

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-07-01T21:56:16.095750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 765dca63-bd2a-4e50-8f72-975ef8a6f421 · inbound

VT-DUDA: Visual Token Conditioning for Diffusion-guided Unsupervised Domain Adaptation cites this paper.

VT-DUDA: Visual Token Conditioning for Diffusion-guided Unsupervised Domain Adaptation VisDA: The Visual Domain Adaptation Challenge

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:29:37.683385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8738e103-63d0-4081-8665-b3b7bf81568b · inbound

ITSPACE: Monotone Gaussian Optimal Transport Updates cites this paper.

ITSPACE: Monotone Gaussian Optimal Transport Updates VisDA: The Visual Domain Adaptation Challenge

Reference 43

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T07:14:21.431135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6fbec9dd-de6c-4e66-b5c1-784fd358dd12 · inbound

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning cites this paper.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning VisDA: The Visual Domain Adaptation Challenge

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T01:16:40.492300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bafa8b0e-75ab-4136-a9a9-4342a48c0a21 · inbound

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation cites this paper.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation VisDA: The Visual Domain Adaptation Challenge

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-01T17:26:55.462092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3efe9f73-2f12-48ee-8022-38d3841cc1cb · inbound

CD-RMOT-Bench: Benchmarking the Cross-Domain Referring Multi-Object Tracking cites this paper.

CD-RMOT-Bench: Benchmarking the Cross-Domain Referring Multi-Object Tracking VisDA: The Visual Domain Adaptation Challenge

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-01T03:02:45.650852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a47b538e-dff9-46d7-b621-297c23f06bf1 · inbound

Towards Practical Algorithm Selection for Unsupervised Domain Adaptation in Medical Imaging cites this paper.

Towards Practical Algorithm Selection for Unsupervised Domain Adaptation in Medical Imaging VisDA: The Visual Domain Adaptation Challenge

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-31T17:06:55.661763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2eedc358-3fe5-4d02-924d-42d01de34f62 · inbound

Domain-Division based Progressive Learning for Source-Free Domain Adaptation cites this paper.

Domain-Division based Progressive Learning for Source-Free Domain Adaptation VisDA: The Visual Domain Adaptation Challenge

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T11:46:46.486806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eff08c3-4132-4238-91b3-95aa157265d9 · inbound

Cross-Resolution Semantic Learning for Graph Domain Adaptation cites this paper.

Cross-Resolution Semantic Learning for Graph Domain Adaptation VisDA: The Visual Domain Adaptation Challenge

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T08:31:19.958744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.