Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T20:08:56.016306Z
Paper Citation Record · LEDGER
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering
As of 9 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2508.11163.
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 2026-08-09T06:31:02.800959+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
63 of 63 outbound references displayed
- verified exact1
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- unresolved11
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5b0db968-a1d8-4158-a435-27b175cad52c · outbound
This paper cites an unresolved cited work.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Unresolved cited work
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a1d5839d-6069-48b8-aef6-e56f0c318c73 · outbound
This paper cites Zhu et al.
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 08e6f773-1aa7-4f83-9569-6074e4c61739 · outbound
This paper cites Zhang et al.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Zhang et al
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:09.309129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4b16924c-36a4-4ec3-825c-15569dcd5159 · outbound
This paper cites an unresolved cited work.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Unresolved cited work
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6017cc38-da1b-40c0-a8b1-a9d9af6bbf3f · outbound
This paper cites VFM-Guided Semi-Supervised Detection Transformer under Source-Free Constraints for Remote Sensing Object Detection.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering VFM-Guided Semi-Supervised Detection Transformer under Source-Free Constraints for Remote Sensing Object Detection
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cf743924-0c9e-45ff-a10a-82b61482944c · outbound
This paper cites Unbiased teacher for semi-supervised object detection,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Unbiased teacher for semi-supervised object detection,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:08.779396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d118dfa8-d8b3-4d32-8567-8fbecf22c042 · outbound
This paper cites Ema: A process model of appraisal dynamics,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Ema: A process model of appraisal dynamics,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:08.593116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9f1e6999-659f-400c-8b34-ef68b5515d16 · outbound
This paper cites Periodically exchange teacher-student for source-free object detection,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Periodically exchange teacher-student for source-free object detection,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:08.411392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8c8a06ef-5a7a-40b9-85d7-67f3f2dd3822 · outbound
This paper cites Dynamic retraining-updating mean teacher for source-free object detection,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Dynamic retraining-updating mean teacher for source-free object detection,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:08.273408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ba95433c-c5da-45c5-bece-6c1763151707 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering DINOv2: Learning Robust Visual Features without Supervision
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6d5bfdd-a456-4850-8f24-c3a97adea4ac · outbound
This paper cites Segment anything,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Segment anything,
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90463b8e-3465-4fee-aabc-8063b95f0300 · outbound
This paper cites Grounding dino: Marrying dino with grounded pre- training for open-set object detection,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Grounding dino: Marrying dino with grounded pre- training for open-set object detection,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:08.062141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0a7b7443-86fb-44ac-9d7e-c10dc25b3796 · outbound
This paper cites Remoteclip: A vision language foundation model for remote sensing,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Remoteclip: A vision language foundation model for remote sensing,
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ba9accba-9751-4a32-b693-0f4ef1893e87 · outbound
This paper cites Some methods for classification and analysis of multi- variate observations,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Some methods for classification and analysis of multi- variate observations,
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d756470b-7048-4f77-909a-25c397d40e17 · outbound
This paper cites Sinkhorn distances: Lightspeed computation of optimal transport,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Sinkhorn distances: Lightspeed computation of optimal transport,
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6c62b12f-61f7-4246-bdcd-7ac6b9be3ab4 · outbound
This paper cites xView: Objects in Context in Overhead Imagery.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering xView: Objects in Context in Overhead Imagery
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e84be0a3-9319-4576-be70-64ed9001e616 · outbound
This paper cites Dota: A large-scale dataset for object detection in aerial images,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Dota: A large-scale dataset for object detection in aerial images,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:07.223198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 29a5d085-0eb4-4968-937b-6ab94e57eb7b · outbound
This paper cites Object detection in optical remote sensing images: A survey and a new benchmark,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Object detection in optical remote sensing images: A survey and a new benchmark,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:07.029759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bc02a563-2b7e-4553-bfd7-c0b9c8a8990e · outbound
This paper cites Hierarchical and robust convolutional neural network for very high-resolution remote sensing object detection,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Hierarchical and robust convolutional neural network for very high-resolution remote sensing object detection,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:06.805337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f89c323e-11c5-466b-b737-27426b917fc9 · outbound
This paper cites Ship detection in sar images based on an improved faster r-cnn,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Ship detection in sar images based on an improved faster r-cnn,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:06.619649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c6cc4694-31da-4b37-bad5-4f7c94122d3c · outbound
This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Faster r-cnn: Towards real-time object detection with region proposal networks,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:06.447662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3153427c-c16e-47df-8919-e143079f7eaa · outbound
This paper cites End-to-end object detection with transformers,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering End-to-end object detection with transformers,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:06.257926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bdf64abe-1dc4-445f-a0e4-6f399950d098 · outbound
This paper cites Exploring sequence feature alignment for domain adaptive detection transformers,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Exploring sequence feature alignment for domain adaptive detection transformers,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:06.074763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1c39e030-bfa7-487b-9de4-a26f8d0079e1 · outbound
This paper cites Da- detr: Domain adaptive detection transformer with information fusion,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Da- detr: Domain adaptive detection transformer with information fusion,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:05.843938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7e0b38b1-36d0-494d-b64c-d068623aa8cb · outbound
This paper cites Focal loss for dense object detection,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Focal loss for dense object detection,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:05.625081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b2cf6f44-c05d-45d0-88e4-3ec5d63188fb · outbound
This paper cites Dualda-net: Dual-head rectification for cross-domain object detection of remote sensing,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Dualda-net: Dual-head rectification for cross-domain object detection of remote sensing,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:05.439630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 75281da4-ba1d-4341-8f96-a4d397d2f05a · outbound
This paper cites Remote sensing teacher: Cross-domain detection transformer with learnable frequency- enhanced feature alignment in remote sensing imagery,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Remote sensing teacher: Cross-domain detection transformer with learnable frequency- enhanced feature alignment in remote sensing imagery,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:05.194125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 39a5dc6f-ad85-4a29-8284-98cae13be987 · outbound
This paper cites Balanced teacher for source-free ob- ject detection,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Balanced teacher for source-free ob- ject detection,
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 2026-08-09T06:31:02.800959+00:00.
Observation 1047e026-db06-44e5-9021-aa1810378f1c · outbound
This paper cites Dense learning based semi-supervised object detection,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Dense learning based semi-supervised object detection,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:04.619909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 86aecf4e-5a82-4e71-b42e-dcdbc565ae4b · outbound
This paper cites Dense teacher: Dense pseudo-labels for semi-supervised object detection,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Dense teacher: Dense pseudo-labels for semi-supervised object detection,
Reference 36
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d84a45b6-c18f-474b-aeb0-8c3603a7631b · outbound
This paper cites Efficient non-maximum suppression,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Efficient non-maximum suppression,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:04.031016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9a55b7d3-29f5-41f1-88f0-4847402dabcd · outbound
This paper cites End-to-end semi-supervised object detection with soft teacher,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering End-to-end semi-supervised object detection with soft teacher,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:03.623609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7492cb33-9926-4500-bada-e1838a3f8bc3 · outbound
This paper cites Dual teacher: Improv- ing the reliability of pseudo labels for semi-supervised oriented object detection,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Dual teacher: Improv- ing the reliability of pseudo labels for semi-supervised oriented object detection,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:03.134897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 67536cf9-d15a-4586-8a1d-cdbed0270c30 · outbound
This paper cites Minimizing sample redundancy for label-efficient object detection in aerial images,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Minimizing sample redundancy for label-efficient object detection in aerial images,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:02.778693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4c87497e-2df9-43fd-99b3-9c447ba96bbc · outbound
This paper cites Omni-detr: Omni-supervised object detection with transformers,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Omni-detr: Omni-supervised object detection with transformers,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:02.468411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e5afbb5c-7237-4f5c-b5d6-759bc579720f · outbound
This paper cites Semi-detr: Semi-supervised object detection with detection transformers,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Semi-detr: Semi-supervised object detection with detection transformers,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:02.141298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5617345c-6c18-455c-97a1-72ee3350f8db · outbound
This paper cites Sparse semi-detr: sparse learnable queries for semi-supervised object detection,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Sparse semi-detr: sparse learnable queries for semi-supervised object detection,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:01.880667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e400d1d0-fb08-492c-a14e-4785ff73600e · outbound
This paper cites Detect Everything with Few Examples.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Detect Everything with Few Examples
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:08:53.051705Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2ce63a9-6d03-4146-8927-7e7fd11f81ee · outbound
This paper cites Cross-domain few-shot object detection via enhanced open-set object detector,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Cross-domain few-shot object detection via enhanced open-set object detector,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:01.586682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0b08ac77-2cf3-48b1-b9e0-d4afa4dd5101 · outbound
This paper cites Large self-supervised models bridge the gap in domain adaptive object detection,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Large self-supervised models bridge the gap in domain adaptive object detection,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:01.170851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6d37af25-4fa4-4b02-bef1-9f48380f6a2a · outbound
This paper cites Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T20:08:56.483742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 68b90415-a97c-441d-a650-408c64a1a45a · outbound
This paper cites Good: Towards domain generalized oriented object detection,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Good: Towards domain generalized oriented object detection,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:00.963282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 04d14aaf-4e96-494a-adb7-02c094ef47bd · outbound
This paper cites Learning transferable visual models from natural language supervision,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Learning transferable visual models from natural language supervision,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:00.775574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 72f9efc5-5cba-472e-9549-42ba582306ad · outbound
This paper cites Dino: Detr with improved denoising anchor boxes for end-to- end object detection,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Dino: Detr with improved denoising anchor boxes for end-to- end object detection,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:00.531453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c9cc54a7-6e8e-458b-a944-ccc5c66f1337 · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering An image is worth 16x16 words: Transformers for image recognition at scale,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:09:00.272266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation beaf7ded-edca-4695-88ac-135aafba3513 · outbound
This paper cites Exploring robust features for few-shot object detection in satellite 15 imagery,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Exploring robust features for few-shot object detection in satellite 15 imagery,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:08:59.970440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a68969ca-a610-4647-b52e-915fbd5b2f7a · outbound
This paper cites Segment any change,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Segment any change,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:08:59.689882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ddc0fbd4-cec4-4c71-bf46-9e5ee33ebebb · outbound
This paper cites Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:08:54.089610Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07f1f4fe-bcd7-40cf-a1ec-702578effc50 · outbound
This paper cites Dino-reg: General purpose image encoder for training-free multi-modal deformable medical image registration,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Dino-reg: General purpose image encoder for training-free multi-modal deformable medical image registration,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:08:59.462094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fb5d9f0b-987f-4566-8110-613c60a30614 · outbound
This paper cites Mask r-cnn,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Mask r-cnn,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:08:59.165838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c3026f7a-4b07-46a5-be0b-c1a3e94032ef · outbound
This paper cites Datr: Unsupervised domain adaptive detection transformer with dataset-level adaptation and prototypical alignment,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Datr: Unsupervised domain adaptive detection transformer with dataset-level adaptation and prototypical alignment,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:08:58.842173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d4b738cb-16f7-4dbf-b80c-20b108414cba · outbound
This paper cites Every pixel matters: Center-aware feature alignment for domain adaptive object detector,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Every pixel matters: Center-aware feature alignment for domain adaptive object detector,
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:08:58.652533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2ba04edb-7462-416c-83bd-1e8620e83219 · outbound
This paper cites Instance relation graph guided source- free domain adaptive object detection,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Instance relation graph guided source- free domain adaptive object detection,
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:08:58.326623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0d0c8350-acbf-495e-b486-0aee02830c63 · outbound
This paper cites Enhanc- ing source-free domain adaptive object detection with low-confidence pseudo label distillation,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Enhanc- ing source-free domain adaptive object detection with low-confidence pseudo label distillation,
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:08:58.110840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d4cb0fac-2c7d-4571-84ea-e0d29dc21701 · outbound
This paper cites Unbiased teacher v2: Semi-supervised object detection for anchor-free and anchor-based detectors,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Unbiased teacher v2: Semi-supervised object detection for anchor-free and anchor-based detectors,
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:08:57.924504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9cf4977b-bc5f-4311-9eb5-4191e0661810 · outbound
This paper cites Multi-clue consistency learning to bridge gaps between general and oriented object in semi-supervised detection,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Multi-clue consistency learning to bridge gaps between general and oriented object in semi-supervised detection,
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:08:57.647553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 79408df6-7501-428b-b9eb-da3f9f8b6274 · outbound
This paper cites Rareplanes: Synthetic data takes flight,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Rareplanes: Synthetic data takes flight,
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:08:55.240769Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7e87c9a-4204-43cb-a88d-d2ca0a287fa9 · outbound
This paper cites Unsupervised domain adaptation for remote- sensing vehicle detection using domain-specific channel recalibration,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Unsupervised domain adaptation for remote- sensing vehicle detection using domain-specific channel recalibration,
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:08:57.430431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 89219eac-06f4-46df-9832-23a8690fa143 · outbound
This paper cites Hierarchical similarity alignment for domain adaptive ship detection in sar images,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Hierarchical similarity alignment for domain adaptive ship detection in sar images,
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:08:57.183475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 00e4ea2e-d8fc-4d94-a061-e294a2e3dee0 · outbound
This paper cites Fsda-detr: Few- shot domain-adaptive object detection transformer in remote sensing im- agery,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Fsda-detr: Few- shot domain-adaptive object detection transformer in remote sensing im- agery,
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T20:08:57.013648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b5c4eac9-388f-4dfb-a6e4-32f10406619c · outbound
This paper cites Ima- genet: A large-scale hierarchical image database,.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Ima- genet: A large-scale hierarchical image database,
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:08:55.707635Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33ad6b50-3203-4ae3-b8e5-fffb1b6cb9b3 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Adam: A Method for Stochastic Optimization
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:08:55.823633Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b8aa0d4-6938-44dc-a674-241ebe62c9cd · outbound
This paper cites DINOv3.
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering DINOv3
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:08:56.016306Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.