Paper Citation Record · LEDGER

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization

As of 7 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.25778.

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

pith.paper-citation-record.v1
2607.25778 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:33:59.069947Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

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unresolved31
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External citation measurements

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Outbound references

Observation d4000d12-d6de-42ce-94b7-a44f76aad3c0 · outbound

This paper cites Multilevel embedding and alignment network with consistency and invariance learning for cross- view geo-localization,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Multilevel embedding and alignment network with consistency and invariance learning for cross- view geo-localization,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:58.943926Z

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Unavailable: canonical work link unavailable.

Observation 919c0064-425a-4a6b-a8a2-5c72f87d62a6 · outbound

This paper cites Enhancing cross-view geo-localization with domain alignment and scene consistency,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Enhancing cross-view geo-localization with domain alignment and scene consistency,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:58.949207Z

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Observation faf3e805-e32a-49bb-9652-80247d872122 · outbound

This paper cites MCCG: A convnext- based multiple-classifier method for cross-view geo-localization,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization MCCG: A convnext- based multiple-classifier method for cross-view geo-localization,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:58.953670Z

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Observation 8764b06c-f3ad-46f6-9c4f-0c5f833b04d1 · outbound

This paper cites Without paired la- beled data: End-to-end self-supervised learning for drone-view geo- localization,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Without paired la- beled data: End-to-end self-supervised learning for drone-view geo- localization,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:58.958248Z

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Observation bb27c915-2cb2-4c2f-843b-6336af72a489 · outbound

This paper cites Sample4Geo: Hard negative sampling for cross-view geo-localisation,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Sample4Geo: Hard negative sampling for cross-view geo-localisation,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:58.962864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bba8f5a4-e3a2-4820-b633-a3a92536a395 · outbound

This paper cites Efficient spike-driven transformer for high-performance drone-view geo-localization,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Efficient spike-driven transformer for high-performance drone-view geo-localization,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:58.967190Z

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Unavailable: canonical work link unavailable.

Observation 2cc67914-8622-4ed1-ad3c-ef0354adb746 · outbound

This paper cites University-1652: A multi-view multi- source benchmark for drone-based geo-localization,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization University-1652: A multi-view multi- source benchmark for drone-based geo-localization,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:58.971871Z

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Observation 4fa9af21-f0f7-4ef3-ad3e-5547fc105666 · outbound

This paper cites SUES-200: A multi-height multi-scene cross-view image benchmark across drone and satellite,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization SUES-200: A multi-height multi-scene cross-view image benchmark across drone and satellite,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:58.975906Z

Source-reported events for the cited work

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Observation c44980a8-c3ea-4046-8270-ce617a09eb09 · outbound

This paper cites Vision- based UA V self-positioning in low-altitude urban environments,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Vision- based UA V self-positioning in low-altitude urban environments,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:58.980050Z

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Unavailable: canonical work link unavailable.

Observation 996342a3-9386-4e89-96be-1341ebf03e6d · outbound

This paper cites Object detection as an optional basis: A graph matching network for cross-view uav localization,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Object detection as an optional basis: A graph matching network for cross-view uav localization,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:58.984183Z

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Unavailable: canonical work link unavailable.

Observation a2f773ec-630a-4450-8e5a-d7269f000ef2 · outbound

This paper cites Cdm-net: A framework for cross- view geo-localization with multimodal data,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Cdm-net: A framework for cross- view geo-localization with multimodal data,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:58.988221Z

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Observation 8622bf61-3d1f-421e-9b82-87a32b04eecd · outbound

This paper cites Geo2: Geometry-guided cross-view geo-localization and image synthesis,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Geo2: Geometry-guided cross-view geo-localization and image synthesis,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:58.992349Z

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Observation 14dedbb4-d8fb-4762-912a-c1c1fc8ba315 · outbound

This paper cites From limited labels to open domains: An efficient learning method for drone-view geo-localization,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization From limited labels to open domains: An efficient learning method for drone-view geo-localization,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:58.996842Z

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Unavailable: canonical work link unavailable.

Observation c7c34701-aebd-4d53-ac23-7eaa1dba17e6 · outbound

This paper cites Predicting ground- level scene layout from aerial imagery,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Predicting ground- level scene layout from aerial imagery,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:59.000771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 573dae0e-5cb6-402f-9d5a-f2ffba4120e2 · outbound

This paper cites Lending orientation to neural networks for cross- view geo-localization,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Lending orientation to neural networks for cross- view geo-localization,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:59.004791Z

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Observation cfa46015-1c89-478b-9d59-5f88170e2776 · outbound

This paper cites Vigor: Cross-view image geo-localization beyond one-to-one retrieval,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Vigor: Cross-view image geo-localization beyond one-to-one retrieval,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:59.008859Z

Source-reported events for the cited work

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Observation ed27ebd2-0742-47b3-a452-b2c00d155175 · outbound

This paper cites Multi-object tracking meets moving uav,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Multi-object tracking meets moving uav,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:59.012821Z

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Observation e7c2bca4-56b6-4ab4-a805-f01a61abeb06 · outbound

This paper cites Must: The first dataset and unified framework for multispectral uav single object track- ing,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Must: The first dataset and unified framework for multispectral uav single object track- ing,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:59.017143Z

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Observation bdba85c9-c8d1-4627-8f0f-87f3000de640 · outbound

This paper cites UAV-VisLoc: A Large-scale Dataset for UAV Visual Localization.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization UAV-VisLoc: A Large-scale Dataset for UAV Visual Localization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:59.021062Z

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Observation 1a8119ed-cfca-479d-97fe-c9d810371851 · outbound

This paper cites Game4loc: A uav geo-localization benchmark from game data,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Game4loc: A uav geo-localization benchmark from game data,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:59.025593Z

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Observation a06ddef4-d987-4873-b9cb-6736ff47ca1a · outbound

This paper cites Uav- geoloc: A large-vocabulary dataset and geometry-transformed method for uav geo-localization,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Uav- geoloc: A large-vocabulary dataset and geometry-transformed method for uav geo-localization,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:59.029776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03a8ad59-38d2-4885-9ff9-abbdde2f5e1c · outbound

This paper cites Each part matters: Local patterns facilitate cross-view geo-localization,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Each part matters: Local patterns facilitate cross-view geo-localization,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:59.033740Z

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Observation 9bf74ed4-23cc-4782-88f8-c513444b5871 · outbound

This paper cites A transformer-based fea- ture segmentation and region alignment method for UA V-view geo- localization,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization A transformer-based fea- ture segmentation and region alignment method for UA V-view geo- localization,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:59.037773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 418c9d50-7783-47ec-b289-4917acdf0c97 · outbound

This paper cites CAMP: Across-view geo-localization method using contrastive attributes mining and position-aware partitioning,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization CAMP: Across-view geo-localization method using contrastive attributes mining and position-aware partitioning,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:59.041538Z

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Observation b8252179-5b3a-4101-90db-6e034036117e · outbound

This paper cites Mfrgn: Multi-scale feature representation generalization network for ground-to-aerial geo- localization,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Mfrgn: Multi-scale feature representation generalization network for ground-to-aerial geo- localization,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:59.045540Z

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Unavailable: canonical work link unavailable.

Observation d20f0daf-9acf-43f9-8a9a-97c82c78e277 · outbound

This paper cites Surfnet: A surface-aware uav–satellite geoloca- tion framework via feature aggregation and dual positional encoding,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Surfnet: A surface-aware uav–satellite geoloca- tion framework via feature aggregation and dual positional encoding,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:59.049920Z

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Observation 897226f8-34c9-473a-b8c8-f788e5760ad6 · outbound

This paper cites Unsu- pervised multiview uav image geolocalization via iterative rendering,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Unsu- pervised multiview uav image geolocalization via iterative rendering,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:59.053888Z

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Observation 202dfc83-319c-4633-a72b-10742c3ea279 · outbound

This paper cites Uniabg: Unified adversarial view bridging and graph correspondence for unsupervised cross-view geo-localization,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Uniabg: Unified adversarial view bridging and graph correspondence for unsupervised cross-view geo-localization,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:59.057756Z

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Observation 64bea8f0-e413-44b3-bf1a-600825cf2441 · outbound

This paper cites A convnet for the 2020s,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization A convnet for the 2020s,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:59.061991Z

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Unavailable: canonical work link unavailable.

Observation 03d4a491-6247-46c8-928e-db8710301142 · outbound

This paper cites Eca-net: Efficient channel attention for deep convolutional neural networks,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Eca-net: Efficient channel attention for deep convolutional neural networks,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:59.065977Z

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Unavailable: canonical work link unavailable.

Observation c741e9ab-1ab5-4eb6-ae7a-9665ced13b18 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport,.

A Unified Benchmark and Modality-Adaptive Network for Day-and-Night Drone-View Geo-Localization Sinkhorn distances: Lightspeed computation of optimal transport,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T01:33:59.069947Z

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Pith citing papers

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