Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:48:18.279635Z
Paper Citation Record · LEDGER
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching
As of 18 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2608.04106.
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 2026-08-18T06:34:40.430872+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
59 of 59 outbound references displayed
- verified exact2
- verified fuzzy46
- unresolved11
- parse uncertain0
- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3cb650c9-d9e1-462d-a238-9cb7ca94ceb0 · outbound
This paper cites Local feature matching using deep learning: A survey,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Local feature matching using deep learning: A survey,
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a2c75695-2ccc-4891-8db3-cf113c3071f2 · outbound
This paper cites Deep learning in remote sensing image matching: A survey,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Deep learning in remote sensing image matching: A survey,
Reference 2
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dca32403-780a-4630-af2d-00eb8f765a71 · outbound
This paper cites PDC-Net+: En- hanced probabilistic dense correspondence network,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching PDC-Net+: En- hanced probabilistic dense correspondence network,
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6a89e31b-3c40-4213-be33-8531d762b793 · outbound
This paper cites DKM: Dense kernelized feature matching for geometry estimation,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching DKM: Dense kernelized feature matching for geometry estimation,
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d4e877cd-2287-4c15-bdba-6b8d396a5b28 · outbound
This paper cites RoMa: Robust dense feature matching,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching RoMa: Robust dense feature matching,
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1ab6db60-abdd-4388-94c2-4406a51a8f74 · outbound
This paper cites RoMa v2: Harder Better Faster Denser Feature Matching.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching RoMa v2: Harder Better Faster Denser Feature Matching
Reference 6
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b08d9271-8d2d-46d0-9555-ce5e98321e1b · outbound
This paper cites SAR-optical feature matching: A large-scale patch dataset and a deep local descriptor,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching SAR-optical feature matching: A large-scale patch dataset and a deep local descriptor,
Reference 7
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ba6c896c-d8cb-45a3-8549-241aca76a058 · outbound
This paper cites The SEN1-2 dataset for deep learning in SAR-optical data fusion,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching The SEN1-2 dataset for deep learning in SAR-optical data fusion,
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 119f2404-40aa-46b6-889d-f4db6a564ae9 · outbound
This paper cites 3MOS: A multi-source, multi-resolution, and multi-scene optical-SAR dataset with insights for multi-modal image matching,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching 3MOS: A multi-source, multi-resolution, and multi-scene optical-SAR dataset with insights for multi-modal image matching,
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation aa2f5f19-afb2-411a-b78a-3cf69eb00c50 · outbound
This paper cites SOMA- 1M: A large-scale SAR-optical multi-resolution alignment dataset for multi-task remote sensing,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching SOMA- 1M: A large-scale SAR-optical multi-resolution alignment dataset for multi-task remote sensing,
Reference 10
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32c6cfb5-16db-4004-882e-e6673b8ec386 · outbound
This paper cites LightGlue: Local feature matching at light speed,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching LightGlue: Local feature matching at light speed,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:19.110321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bf5eac8f-8e6e-4763-9a17-69fe0f908439 · outbound
This paper cites LoFTR: Detector- free local feature matching with transformers,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching LoFTR: Detector- free local feature matching with transformers,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:19.095199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation de9a0daf-648c-430a-a61f-19b76dc8f97f · outbound
This paper cites Distinctive image features from scale-invariant keypoints,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Distinctive image features from scale-invariant keypoints,
Reference 13
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c55ef6d0-aac0-4cc7-85bd-1e240a2ce468 · outbound
This paper cites SuperPoint: Self- supervised interest point detection and description,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching SuperPoint: Self- supervised interest point detection and description,
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation efcedd30-bdef-4197-955a-974607d224db · outbound
This paper cites SuperGlue: Learning feature matching with graph neural networks,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching SuperGlue: Learning feature matching with graph neural networks,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:19.054394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e1c2d4cd-38b6-4984-ab0d-2573b5b5f0c8 · outbound
This paper cites ASpanFormer: Detector-free image matching with adaptive span transformer,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching ASpanFormer: Detector-free image matching with adaptive span transformer,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:19.039651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9679468a-fc7a-42d5-8efa-202bb8633f5b · outbound
This paper cites Efficient LoFTR: Semi- dense local feature matching with sparse-like speed,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Efficient LoFTR: Semi- dense local feature matching with sparse-like speed,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:19.024589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0081936e-4dc6-4b05-aef8-1db25b311cd8 · outbound
This paper cites Raising the ceiling: Conflict-free local feature matching with dynamic view switching,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Raising the ceiling: Conflict-free local feature matching with dynamic view switching,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:19.010100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c260bd29-e180-48cd-852b-35064ef053de · outbound
This paper cites Toward free-form local feature matching,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Toward free-form local feature matching,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.995037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8ee54156-6db3-4af0-addc-009d759c56e3 · outbound
This paper cites Learning accurate dense correspondences and when to trust them,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Learning accurate dense correspondences and when to trust them,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.980829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9d075664-9702-4df1-948c-a93b86f3bf4d · outbound
This paper cites DINOv2: Learning robust visual features without supervision,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching DINOv2: Learning robust visual features without supervision,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.966797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8dd8119a-222b-4425-b891-2c03d07ad432 · outbound
This paper cites DINOv3.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching DINOv3
Reference 22
- Resolution
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Source-reported events for the cited work
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Observation 215523cd-242e-43c2-8dee-2251bf69ef66 · outbound
This paper cites UFM: A simple path towards unified dense correspondence with flow,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching UFM: A simple path towards unified dense correspondence with flow,
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7e4fffec-6a53-4aad-becb-fe425fea489c · outbound
This paper cites Repeatability is not enough: Learning affine regions via discriminability,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Repeatability is not enough: Learning affine regions via discriminability,
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 115b83f7-eb06-456b-9015-6205c03c6d29 · outbound
This paper cites Structured epipolar matcher for local feature matching,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Structured epipolar matcher for local feature matching,
Reference 25
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7084e18b-d2e1-4396-bc5d-3eb16b45dc3c · outbound
This paper cites MESA: Effective matching redundancy reduction by semantic area segmentation,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching MESA: Effective matching redundancy reduction by semantic area segmentation,
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3acf99fa-be81-4e42-9b52-9dfd06c51158 · outbound
This paper cites GIM: Learning generalizable image matcher from internet videos,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching GIM: Learning generalizable image matcher from internet videos,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.890012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 85f1b7ee-bb0c-4a75-8bbb-cf14be5b46d3 · outbound
This paper cites MINIMA: Modality invariant image matching,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching MINIMA: Modality invariant image matching,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.875284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 407b8461-d06e-44bf-8dc7-019b28242b15 · outbound
This paper cites MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training
Reference 29
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7a4e9ed-b0b7-4380-b727-567bd0cca2cf · outbound
This paper cites A deep learning framework for remote sensing image registration,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching A deep learning framework for remote sensing image registration,
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c70c65f1-7ad9-4781-b302-0ceb75d4a4d3 · outbound
This paper cites Optical and SAR image matching using pixelwise deep dense features,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Optical and SAR image matching using pixelwise deep dense features,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.845857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3c37eab2-157c-406c-8ebe-d25156d0344e · outbound
This paper cites Remote sensing image registration using convolutional neural network features,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Remote sensing image registration using convolutional neural network features,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.830824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 63e094cf-2268-4941-916d-fd926b395044 · outbound
This paper cites Multimodal remote sensing image matching via learning features and attention mechanism,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Multimodal remote sensing image matching via learning features and attention mechanism,
Reference 33
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0b32de28-2503-430f-88f3-41213c0bc9f6 · outbound
This paper cites A two-stream symmetric network with bidirectional ensemble for aerial image matching,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching A two-stream symmetric network with bidirectional ensemble for aerial image matching,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.797815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 295e24cf-09d6-4a9e-97cc-9d5e7ddc1e78 · outbound
This paper cites Precise Aerial Image Matching based on Deep Homography Estimation.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Precise Aerial Image Matching based on Deep Homography Estimation
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T14:48:18.355900Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4cf26321-b1a0-4d4b-ad93-37ae88ddce6f · outbound
This paper cites Multimodal image fusion framework for end-to-end remote sensing image registration,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Multimodal image fusion framework for end-to-end remote sensing image registration,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.783352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2b4fe04a-9fc4-425f-8578-af5d1a8c294a · outbound
This paper cites Remote sensing image registration based upon extensive convolutional architecture with transfer learning and network pruning,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Remote sensing image registration based upon extensive convolutional architecture with transfer learning and network pruning,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.769534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2bcaf335-5787-4240-9922-bff1574ea778 · outbound
This paper cites Unsupervised image registration for video SAR,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Unsupervised image registration for video SAR,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.755131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b6626d52-b6ed-4df5-a3e1-1ebf58e775a9 · outbound
This paper cites Unsupervised multistep deformable registration of remote sensing imagery based on deep learning,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Unsupervised multistep deformable registration of remote sensing imagery based on deep learning,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.739926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation baac85da-ea14-44af-af4e-8020fe60dc62 · outbound
This paper cites A multiscale framework with unsupervised learning for remote sensing image regis- tration,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching A multiscale framework with unsupervised learning for remote sensing image regis- tration,
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:48:18.195351Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42aa3c8c-9a9c-44bb-93e5-de7235bd5b87 · outbound
This paper cites MID: A novel mountainous remote sensing imagery registration dataset assessed by a coarse-to-fine unsupervised cascading network,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching MID: A novel mountainous remote sensing imagery registration dataset assessed by a coarse-to-fine unsupervised cascading network,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.715288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3707f7e2-762a-43e5-8850-4516cec23f2e · outbound
This paper cites OSFlowNet: Optical and SAR image dense registration using a robust deep optical flow framework,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching OSFlowNet: Optical and SAR image dense registration using a robust deep optical flow framework,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.700042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cec6965e-219b-4f28-ae6b-4185326772cc · outbound
This paper cites OS3Flow: Optical and SAR image registration using symmetry-guided semi-dense optical flow,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching OS3Flow: Optical and SAR image registration using symmetry-guided semi-dense optical flow,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.684110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 736bc67c-710e-42b5-b9fd-c4c4510168ec · outbound
This paper cites Very deep convolutional networks for large-scale image recognition,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Very deep convolutional networks for large-scale image recognition,
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:48:18.213802Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c81e67b-31d6-4e02-ad95-4a0c251bbbcb · outbound
This paper cites An overlap invariant entropy measure of 3d medical image alignment,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching An overlap invariant entropy measure of 3d medical image alignment,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.659395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2c219700-39a3-4264-814c-0b77b0568254 · outbound
This paper cites Fast template matching,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Fast template matching,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.644569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8897491a-cacb-4275-9dd8-3aef9db0955b · outbound
This paper cites A general and adaptive robust loss function,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching A general and adaptive robust loss function,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.629845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1f44a2f0-14b0-4e6d-9e69-9324206c82ed · outbound
This paper cites A deep learning semantic template matching framework for remote sensing image registration,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching A deep learning semantic template matching framework for remote sensing image registration,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.613490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation db31a074-42e1-48f3-b3be-f8b1b4adb78f · outbound
This paper cites The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:48:18.236436Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88bc30be-558b-4f56-823f-4ddf2ce6d095 · outbound
This paper cites The SARptical dataset for joint analysis of SAR and optical image in dense urban area,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching The SARptical dataset for joint analysis of SAR and optical image in dense urban area,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.599872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fbf3be1a-ce37-4242-8359-de1f042a3294 · outbound
This paper cites A global-to- local algorithm for high-resolution optical and SAR image registration,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching A global-to- local algorithm for high-resolution optical and SAR image registration,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.585891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation aa3a8642-3ed9-4eec-9019-65f9817d2e70 · outbound
This paper cites Automatic registration of optical and SAR images via improved phase congruency model,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Automatic registration of optical and SAR images via improved phase congruency model,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.571829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ba5a5797-9532-49c6-a5f0-75803db0e383 · outbound
This paper cites SpaceNet 6: Multi-sensor all weather mapping dataset,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching SpaceNet 6: Multi-sensor all weather mapping dataset,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.557464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 803c6bdd-9073-4f77-bb95-727f0f43f33e · outbound
This paper cites Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography,
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:48:18.259263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf4940f0-1efc-4e90-b330-ca5b76198a77 · outbound
This paper cites Principal warps: Thin-plate splines and the decom- position of deformations,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Principal warps: Thin-plate splines and the decom- position of deformations,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.533517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 84c69525-8697-45e4-9330-72c302878c35 · outbound
This paper cites Decoupled weight decay regularization,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Decoupled weight decay regularization,
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:48:18.267845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5505fc7e-fc95-4395-b72a-e980b8bdf216 · outbound
This paper cites EarthMatch: Iterative coregistration for fine-grained localization of astronaut photography,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching EarthMatch: Iterative coregistration for fine-grained localization of astronaut photography,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.509730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1371ab14-46f0-4205-af97-b3e256b4ad10 · outbound
This paper cites Find my astronaut photo: Automated local- ization and georectification of astronaut photography,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching Find my astronaut photo: Automated local- ization and georectification of astronaut photography,
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:48:18.494235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 64b59609-c6b0-4421-b720-5d576a997fb7 · outbound
This paper cites UA VLoc-M3 UA V visual localization dataset,.
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching UA VLoc-M3 UA V visual localization dataset,
Reference 59
- Resolution
- verified exact
- doi, observed 2026-08-15T14:48:18.318440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.