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Paper Citation Record · LEDGER

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer

As of 5 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 4 inbound Pith citation observations for arXiv:2512.21078.

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

pith.paper-citation-record.v1
2512.21078 v3

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:15:22.880265Z

measured 76 of 76 standing notices

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T12:35:16.147653Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T16:29:57.449515Z

Reference resolution

72 of 72 outbound references displayed

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Outbound references

Observation a8ff1f00-130e-406c-a3c9-8e885e30a1da · outbound

This paper cites Gsv-cities: Toward appropriate supervised visual place recognition.Neurocomputing, 513:194–203, 2022.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Gsv-cities: Toward appropriate supervised visual place recognition.Neurocomputing, 513:194–203, 2022

Reference 1

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Observation 146e3d73-9256-4d50-ae0e-ca83d7c6427e · outbound

This paper cites Mixvpr: Feature mixing for visual place recognition.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Mixvpr: Feature mixing for visual place recognition

Reference 2

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Observation 6c5b3286-f324-4872-b7c9-ab389084b9b5 · outbound

This paper cites Netvlad: Cnn architecture for weakly supervised place recognition.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Netvlad: Cnn architecture for weakly supervised place recognition

Reference 3

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Observation 4f0b0cd7-ea68-4e95-979a-37b7f21c6c16 · outbound

This paper cites Towards life-long visual localization us- ing an efficient matching of binary sequences from images.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Towards life-long visual localization us- ing an efficient matching of binary sequences from images

Reference 4

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Observation 3425d02e-5263-4d29-b7f8-977a96be67fd · outbound

This paper cites Megaloc: One retrieval to place them all.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Megaloc: One retrieval to place them all

Reference 5

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Observation aac23afe-7513-481b-9caa-fc8e376b5778 · outbound

This paper cites Re- thinking visual geo-localization for large-scale applications.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Re- thinking visual geo-localization for large-scale applications

Reference 6

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Observation 7f127217-4002-44bd-891a-10ee3d0a7054 · outbound

This paper cites Eigenplaces: Training viewpoint robust models for visual place recognition.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Eigenplaces: Training viewpoint robust models for visual place recognition

Reference 7

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Observation ce2ba4e9-3bc4-4825-af08-c6234ccd70ca · outbound

This paper cites Jist: Joint image and sequence training for sequential visual place recognition.IEEE Robotics and Au- tomation Letters, 9(2):1310–1317, 2023.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Jist: Joint image and sequence training for sequential visual place recognition.IEEE Robotics and Au- tomation Letters, 9(2):1310–1317, 2023

Reference 8

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Observation 259c61c6-a6ed-4fb0-bdae-05d01545ed9f · outbound

This paper cites A survey of optimal trans- port for computer graphics and computer vision.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer A survey of optimal trans- port for computer graphics and computer vision

Reference 9

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Observation 9e747a3a-0062-4f54-a8b5-7debf74bc301 · outbound

This paper cites Learning context flexible attention model for long-term visual place recognition.IEEE Robotics and Au- tomation Letters, 3(4):4015–4022, 2018.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Learning context flexible attention model for long-term visual place recognition.IEEE Robotics and Au- tomation Letters, 3(4):4015–4022, 2018

Reference 10

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Observation 8778babe-3ae6-4ac0-80dd-549d7a607b23 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.Advances in neural information pro- cessing systems, 26, 2013.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Sinkhorn distances: Lightspeed computation of optimal transport.Advances in neural information pro- cessing systems, 26, 2013

Reference 11

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Observation 7385a17b-28d9-4a19-af35-8c822881f3dc · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 12

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Observation 022bc0f6-1b18-4299-aa85-0e682e40cd12 · outbound

This paper cites ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes

Reference 13

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Observation 16ecbbb7-50fc-4dd2-89ee-b3a3e4486bbc · outbound

This paper cites Long-term visual simultaneous localization and map- ping: Using a bayesian persistence filter-based global map prediction.IEEE Robotics & Automation Magazine, 30(1): 36–49, 2023.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Long-term visual simultaneous localization and map- ping: Using a bayesian persistence filter-based global map prediction.IEEE Robotics & Automation Magazine, 30(1): 36–49, 2023

Reference 14

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Observation a616ff07-7af2-4328-9bd7-af9fb157c313 · outbound

This paper cites Plgslam: Progressive neural scene represenation with local to global bundle adjustment.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Plgslam: Progressive neural scene represenation with local to global bundle adjustment

Reference 15

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Observation a910484a-41b0-4017-8853-1b7a081db8fc · outbound

This paper cites What is the best 3d scene representation for robotics? from geometric to foundation models.arXiv preprint arXiv:2512.03422, 2025.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer What is the best 3d scene representation for robotics? from geometric to foundation models.arXiv preprint arXiv:2512.03422, 2025

Reference 16

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Observation 40ad5ce8-8da8-4202-a7b5-3eef5cc4e9a7 · outbound

This paper cites MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation

Reference 17

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Observation 829f867c-0c31-46bd-b087-3c54515eadc5 · outbound

This paper cites Mne-slam: Multi-agent neural slam for mobile robots.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Mne-slam: Multi-agent neural slam for mobile robots

Reference 18

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Observation a9525291-eda2-428e-960b-33ad1015611a · outbound

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UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Unresolved cited work

Reference 19

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Observation 368d217e-b4d1-4cd1-8310-e44991adf812 · outbound

This paper cites Neslam: Neural implicit mapping and self-supervised feature tracking with depth completion and denoising.IEEE Transactions on Automation Science and Engineering, pages 1–1, 2025.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Neslam: Neural implicit mapping and self-supervised feature tracking with depth completion and denoising.IEEE Transactions on Automation Science and Engineering, pages 1–1, 2025

Reference 20

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Observation 94371a0f-f717-4518-a0e0-b4b175e9b9d4 · outbound

This paper cites Condition-Invariant Multi-View Place Recognition.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Condition-Invariant Multi-View Place Recognition

Reference 21

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Observation 1a2b0f72-3a66-4d11-866f-1684a0bc9f40 · outbound

This paper cites Bags of binary words for fast place recognition in image sequences.IEEE Transactions on robotics, 28(5):1188–1197, 2012.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Bags of binary words for fast place recognition in image sequences.IEEE Transactions on robotics, 28(5):1188–1197, 2012

Reference 22

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Observation 2b467914-a743-4f24-99e0-41e57c324ae3 · outbound

This paper cites Seqnet: Learning de- scriptors for sequence-based hierarchical place recognition.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Seqnet: Learning de- scriptors for sequence-based hierarchical place recognition

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Observation d8467d99-d6fe-4d6b-951f-209f73a61c40 · outbound

This paper cites Delta descriptors: Change-based place representa- tion for robust visual localization.IEEE Robotics and Au- tomation Letters, 5(4):5120–5127, 2020.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Delta descriptors: Change-based place representa- tion for robust visual localization.IEEE Robotics and Au- tomation Letters, 5(4):5120–5127, 2020

Reference 24

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Observation 0105062f-4821-4319-847a-96c543effaef · outbound

This paper cites Where is your place, Visual Place Recognition?.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Where is your place, Visual Place Recognition?

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Observation 3f4775d2-a056-40f2-8046-52a1994f0940 · outbound

This paper cites Seq- matchnet: Contrastive learning with sequence matching for 18 place recognition & relocalization.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Seq- matchnet: Contrastive learning with sequence matching for 18 place recognition & relocalization

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Observation 873c38b8-a276-4db0-aefd-72f350c0d16d · outbound

This paper cites Patch-netvlad: Multi-scale fusion of locally-global descriptors for place recognition.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Patch-netvlad: Multi-scale fusion of locally-global descriptors for place recognition

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Observation c6fb26cd-4325-4b4e-aab5-afe9ad78960a · outbound

This paper cites Improving Visual Place Recognition with Sequence-Matching Receptiveness Prediction.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Improving Visual Place Recognition with Sequence-Matching Receptiveness Prediction

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Observation 6450418b-948b-4221-adc9-5c81b5b94abd · outbound

This paper cites Close, but not there: Boosting geographic distance sensitivity in visual place recognition.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Close, but not there: Boosting geographic distance sensitivity in visual place recognition

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Observation df3c1db2-1917-44df-984c-92f964544680 · outbound

This paper cites Optimal transport ag- gregation for visual place recognition.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Optimal transport ag- gregation for visual place recognition

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Observation 156d902d-3399-480d-b592-64e79e224196 · outbound

This paper cites Aggregating local descriptors into a compact image representation.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Aggregating local descriptors into a compact image representation

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Observation 8fc88211-7b75-4983-8b81-803479b5d728 · outbound

This paper cites Anyloc: Towards universal visual place recognition.IEEE Robotics and Automation Letters, 9 (2):1286–1293, 2023.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Anyloc: Towards universal visual place recognition.IEEE Robotics and Automation Letters, 9 (2):1286–1293, 2023

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Observation ea1e1b1f-1db2-44f7-992b-383f878dda29 · outbound

This paper cites Adam: A method for stochastic optimization.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Adam: A method for stochastic optimization

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Observation 391e71bb-1e06-49bd-ad97-5527cddf7aeb · outbound

This paper cites Casevpr: Correlation-aware sequential embedding for sequence-to-frame visual place recognition.IEEE Robotics and Automation Letters, 2025.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Casevpr: Correlation-aware sequential embedding for sequence-to-frame visual place recognition.IEEE Robotics and Automation Letters, 2025

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Observation 3615750e-9bfb-4b5b-81bd-d1270107235f · outbound

This paper cites To- ward learning-based visuomotor navigation with neural radi- ance fields.IEEE Transactions on Industrial Informatics, 20 (6):8907–8916, 2024.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer To- ward learning-based visuomotor navigation with neural radi- ance fields.IEEE Transactions on Industrial Informatics, 20 (6):8907–8916, 2024

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Observation c1cfa0e5-1f2c-48c5-a8b8-064417719a97 · outbound

This paper cites In- tegrating neural radiance fields end-to-end for cognitive vi- suomotor navigation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(12):11200–11215, 2024.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer In- tegrating neural radiance fields end-to-end for cognitive vi- suomotor navigation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(12):11200–11215, 2024

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source=pdf_text observed=2026-08-03T14:15:22.723632Z digest=sha256:ab50518791afb5bb5d763756356591dcb8afc0de30ab2517d228f3a857bcd279

Observation f2bd9be4-8e32-45c0-aad0-d6412a0bbb60 · outbound

This paper cites Mg-slam: Structure gaussian splatting slam with manhattan world hy- pothesis.IEEE Transactions on Automation Science and En- gineering, 2025.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Mg-slam: Structure gaussian splatting slam with manhattan world hy- pothesis.IEEE Transactions on Automation Science and En- gineering, 2025

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source=pdf_text observed=2026-08-03T14:15:22.727640Z digest=sha256:0565050349a67a688aba22212a62e9471f49a5411c26c452e947b77ccd2bc625

Observation 265e0096-6206-4efd-bc03-58f731f3f305 · outbound

This paper cites Visual place recognition: A survey.IEEE Transactions on Robotics, 32(1):1–19, 2015.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Visual place recognition: A survey.IEEE Transactions on Robotics, 32(1):1–19, 2015

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source=pdf_text observed=2026-08-03T14:15:22.731730Z digest=sha256:6ea7ee06c636faf3f61c9359f40146ffc0fa47e6918fd63f817b46bbdbb276f9

Observation c65107bc-d896-4cfd-a8f1-78e15ec7b84c · outbound

This paper cites Neural network-based nonconservative predefined-time backstep- ping control for uncertain strict-feedback nonlinear systems.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Neural network-based nonconservative predefined-time backstep- ping control for uncertain strict-feedback nonlinear systems

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source=pdf_text observed=2026-08-03T14:15:22.736228Z digest=sha256:0f36648af1ecd218116f48a051139e823a667aca9844d3e08c6ab16acf22cb3e

Observation 9c83a54f-4309-4598-8e83-fd07e8bd312c · outbound

This paper cites Adaptive dis- tributed observer design for nonlinear multiagent systems.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Adaptive dis- tributed observer design for nonlinear multiagent systems

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source=pdf_text observed=2026-08-03T14:15:22.740241Z digest=sha256:2a8bb456d82d7afdc1a6d70ec70202a9cdca25dde5f116408a96c98d822dcba5

Observation 6bcab254-b8ad-4cdc-b99a-6f9c9e458f78 · outbound

This paper cites 1 year, 1000 km: The oxford robotcar dataset.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer 1 year, 1000 km: The oxford robotcar dataset

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source=pdf_text observed=2026-08-03T14:15:22.744263Z digest=sha256:3e7cca060f462525f9d0bf3ab772d5c1156e7d048a20fee5a6322530b96158c0

Observation 442943a0-967c-41fe-b632-24c89e942b72 · outbound

This paper cites VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold

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source=pdf_text observed=2026-08-03T14:15:22.748747Z digest=sha256:8a4dc9bc99762611f0e21ea099ea112e159896f202157869212a65dd1af11e85

Observation 694d206e-1892-4bc5-a370-f1f65a16ad0b · outbound

This paper cites A survey on deep visual place recognition.IEEE Access, 9:19516–19547, 2021.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer A survey on deep visual place recognition.IEEE Access, 9:19516–19547, 2021

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source=pdf_text observed=2026-08-03T14:15:22.752883Z digest=sha256:1af586f00e4319ee9003d9975e962f892994dee9a133366847eee47cbb1e8398

Observation f0652b14-5323-4784-b994-faa6a60b88d6 · outbound

This paper cites Learning sequential descrip- tors for sequence-based visual place recognition.IEEE Robotics and Automation Letters, 7(4):10383–10390, 2022.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Learning sequential descrip- tors for sequence-based visual place recognition.IEEE Robotics and Automation Letters, 7(4):10383–10390, 2022

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Observation e8b08937-8766-4e1e-9ff9-f19cc867792f · outbound

This paper cites Going places: Place recognition in artificial and natural systems.Annual Review of Control, Robotics, and Autonomous Systems, 9, 2025.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Going places: Place recognition in artificial and natural systems.Annual Review of Control, Robotics, and Autonomous Systems, 9, 2025

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source=pdf_text observed=2026-08-03T14:15:22.761387Z digest=sha256:4ead494d5ed39fe00d8adb03ecf1a7a832939f67466943ac59cbae1bff03c5a5

Observation 1e6b3eae-6fb8-4358-8523-6c62e3233937 · outbound

This paper cites Seqslam: Visual route-based navigation for sunny summer days and stormy winter nights.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Seqslam: Visual route-based navigation for sunny summer days and stormy winter nights

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source=pdf_text observed=2026-08-03T14:15:22.765569Z digest=sha256:acf8d0d91f293d038364b8cc327c389bfa07feeb4a7db90e13ca4bfb545640a1

Observation d77fc0df-da53-4ebb-8c75-15f4340401ce · outbound

This paper cites Localization in urban environments using a panoramic gist descriptor.IEEE Transactions on Robotics, 29(1):146–160, 2012.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Localization in urban environments using a panoramic gist descriptor.IEEE Transactions on Robotics, 29(1):146–160, 2012

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source=pdf_text observed=2026-08-03T14:15:22.769716Z digest=sha256:c3c02965249b8b1a964150d56217d2d28c52bafbf1d67e73b149ebe1ef5d8c5a

Observation 799f927f-8868-4a55-a576-c62b14a010d1 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer DINOv2: Learning Robust Visual Features without Supervision

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source=pdf_text observed=2026-08-03T14:15:22.774215Z digest=sha256:cb61635da082613a33d8d57fb1f16c8aaaeea08bde5627d21297e4b14f09717b

Observation 089da0a0-47d9-4cc4-8d2d-5556765ed02e · outbound

This paper cites Fine- tuning cnn image retrieval with no human annotation.IEEE transactions on pattern analysis and machine intelligence, 41(7):1655–1668, 2018.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Fine- tuning cnn image retrieval with no human annotation.IEEE transactions on pattern analysis and machine intelligence, 41(7):1655–1668, 2018

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source=pdf_text observed=2026-08-03T14:15:22.778469Z digest=sha256:161f6fed7f9fab88f9073f222a173b4075c3e6e22c832427e98266841eae943a

Observation 6a63d1fb-7f22-4f5a-bd03-196b45786169 · outbound

This paper cites From coarse to fine: Robust hierarchical localization at large scale.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer From coarse to fine: Robust hierarchical localization at large scale

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source=pdf_text observed=2026-08-03T14:15:22.782610Z digest=sha256:d6baa8dc32e5d0fa2ff88f7057e1c39d214402a6c635a57c089b97088999eb1d

Observation ae19dcc8-3091-48d9-875c-b6f025017242 · outbound

This paper cites Superglue: Learning feature matching with graph neural networks.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Superglue: Learning feature matching with graph neural networks

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source=pdf_text observed=2026-08-03T14:15:22.787514Z digest=sha256:636c80a12cf043215285ce9763bc0f4f095696f90aa9793f3f1bce7f9a193c7c

Observation 661cdebb-9481-43f4-8447-72967e74a2b5 · outbound

This paper cites Fast and memory efficient graph optimization via icm for visual place recognition.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Fast and memory efficient graph optimization via icm for visual place recognition

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source=pdf_text observed=2026-08-03T14:15:22.792583Z digest=sha256:d571c2477b36473de15ff2b97bc06ba4b6ea94b42816edea6d908e759fe95959

Observation 0fc5a780-c197-407d-a437-4588a82bdb03 · outbound

This paper cites Visual Place Recognition: A Tuto- rial.IEEE Robotics & Automation Magazine, 2023.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Visual Place Recognition: A Tuto- rial.IEEE Robotics & Automation Magazine, 2023

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source=pdf_text observed=2026-08-03T14:15:22.796824Z digest=sha256:e7d13b6280c041afd49f7f71aaf71c9ad2192ab65948cdb8d8765d1273d9aa21

Observation 456b3886-8a5a-4189-a8d8-13595c31e4ee · outbound

This paper cites Grs-slam3r: Real-time dense slam with gated recurrent state.arXiv preprint arXiv:2509.23737, 2025.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Grs-slam3r: Real-time dense slam with gated recurrent state.arXiv preprint arXiv:2509.23737, 2025

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source=pdf_text observed=2026-08-03T14:15:22.800934Z digest=sha256:6cbc43ce6b9b3c1773085c9b28cfd1a68e82bd22ca9b10091d1ecc2cec3f4fb4

Observation 5b870b2b-25dd-489a-b08e-8f650bc63720 · outbound

This paper cites Unilgl: Learning uniform place recognition for fov- limited/panoramic lidar global localization.arXiv preprint arXiv:2507.12194, 2025.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Unilgl: Learning uniform place recognition for fov- limited/panoramic lidar global localization.arXiv preprint arXiv:2507.12194, 2025

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Observation e0ea6854-198d-4058-9d10-c5583c87a3a5 · outbound

This paper cites Video google: A text retrieval approach to object matching in videos.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Video google: A text retrieval approach to object matching in videos

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Observation 511f9eb5-4982-4414-9ac1-f4d327d20a12 · outbound

This paper cites Brief-gist-closing the loop by simple means.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Brief-gist-closing the loop by simple means

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source=pdf_text observed=2026-08-03T14:15:22.814016Z digest=sha256:28a7deff5ef75fe0156bad4e2288ee55ef10a5c19948dd5be02d099b2660cb65

Observation 8ef9d422-2f6c-4be7-8485-0878fb6ce062 · outbound

This paper cites Are we there yet? challenging seqslam on a 3000 km journey across all four seasons.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Are we there yet? challenging seqslam on a 3000 km journey across all four seasons

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source=pdf_text observed=2026-08-03T14:15:22.818383Z digest=sha256:f01c1ecb223cae83a0242224a5d6c4a83c1fdafb64dc43fc750abe4adbaa58c2

Observation 3e379cae-71cc-480d-92a0-0d1d19e3e110 · outbound

This paper cites Inloc: Indoor visual localization with dense matching and view synthesis.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Inloc: Indoor visual localization with dense matching and view synthesis

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source=pdf_text observed=2026-08-03T14:15:22.822656Z digest=sha256:92cb10c3f32299336fd1df180474f7ecddc719fd9f2e42079536c410a8feaa2a

Observation e47fab49-bdf2-4fbd-8e91-d893a526cb06 · outbound

This paper cites Visual place recognition with repetitive structures.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Visual place recognition with repetitive structures

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source=pdf_text observed=2026-08-03T14:15:22.826966Z digest=sha256:f7c885c7bc09cb3aace39111beb0243bfcb4261cb9c1f72fbab5556419012eb2

Observation 282bc040-3df9-4a94-9fd1-c35f2e09d768 · outbound

This paper cites Vggt: Vi- sual geometry grounded transformer.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Vggt: Vi- sual geometry grounded transformer

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source=pdf_text observed=2026-08-03T14:15:22.830965Z digest=sha256:6e104534ecb56c76b5b6eb2973f6ec64bb06001aced699ffd7d6e3193bfc224b

Observation a689dca0-8c95-4a5b-bd6d-44cd26d90f29 · outbound

This paper cites Transvpr: Transformer-based place recognition with multi-level attention aggregation.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Transvpr: Transformer-based place recognition with multi-level attention aggregation

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source=pdf_text observed=2026-08-03T14:15:22.834998Z digest=sha256:2644521f45ef338c833b5b9e207c84a80af7978dc55594159c454242d8f2f5a3

Observation 58038de4-f0d5-4d16-b3ef-9dbf46dc0c2e · outbound

This paper cites Multi-similarity loss with general pair weighting for deep metric learning.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Multi-similarity loss with general pair weighting for deep metric learning

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source=pdf_text observed=2026-08-03T14:15:22.839441Z digest=sha256:95be29e1a9b08376cae9b3ed493f70a71d3504b815c388e185db63af93ceaa88

Observation 18ddb16a-0071-4aab-af4a-315bde7536ae · outbound

This paper cites Sfpnet: Sparse fo- cal point network for semantic segmentation on general lidar point clouds.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Sfpnet: Sparse fo- cal point network for semantic segmentation on general lidar point clouds

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source=pdf_text observed=2026-08-03T14:15:22.843803Z digest=sha256:dd60fa5c0ec3e0bdf1d28cb8e5421687a30702fa4fa1704cc9a705262e446150

Observation 092d156f-85c0-4cef-8ccb-5ee12c017932 · outbound

This paper cites Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation

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source=pdf_text observed=2026-08-03T14:15:22.848771Z digest=sha256:3aa35d2b8e4e034122d1a45e2317adc2171f1127218bb069efff6cf4358bcf5d

Observation 96f95255-df0b-469f-9a00-82d77e571b9b · outbound

This paper cites Mapillary street-level sequences: A dataset for lifelong place recognition.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Mapillary street-level sequences: A dataset for lifelong place recognition

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source=pdf_text observed=2026-08-03T14:15:22.853584Z digest=sha256:1a313817f48a6adc90b63ef3f72e1a93d7a68c637d94ee86d23ce442d9509b7d

Observation dc44905f-7474-4358-b099-68e0e0275d88 · outbound

This paper cites Stgcnformer: Spatio-temporal dual-stream graph convolutional networks and transformers for traffic forecasting.IEEE Transactions on Vehicular Technology, 74(10):15254–15263, 2025.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Stgcnformer: Spatio-temporal dual-stream graph convolutional networks and transformers for traffic forecasting.IEEE Transactions on Vehicular Technology, 74(10):15254–15263, 2025

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Observation c288f125-434e-4a3a-b73f-1516155d4bdf · outbound

This paper cites Trajdiff: Trajectory prediction with diffusion probabilistic models.IEEE Transactions on Image Processing, pages 1– 14, 2025.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Trajdiff: Trajectory prediction with diffusion probabilistic models.IEEE Transactions on Image Processing, pages 1– 14, 2025

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Observation ac272450-f151-4d4e-94bc-2b215ecebb5e · outbound

This paper cites Visual place recog- nition: A survey from deep learning perspective.Pattern Recognition, 113:107760, 2021.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Visual place recog- nition: A survey from deep learning perspective.Pattern Recognition, 113:107760, 2021

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Observation f5cc252b-4c76-433f-92d0-b5676edfddb5 · outbound

This paper cites Learning sequence descriptor based on spatio-temporal attention for visual place recognition.IEEE Robotics and Automation Let- ters, 9(3):2351–2358, 2024.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer Learning sequence descriptor based on spatio-temporal attention for visual place recognition.IEEE Robotics and Automation Let- ters, 9(3):2351–2358, 2024

Reference 70

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Observation 914b6d9c-ac1c-4778-9205-9c5137cb60be · outbound

This paper cites The nerfect match: Exploring nerf features for visual localization.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer The nerfect match: Exploring nerf features for visual localization

Reference 71

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unresolved
no resolver link, observed 2026-08-03T14:15:22.876320Z

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Observation bb9852a5-2b05-46a6-a650-4e048c0acf64 · outbound

This paper cites R2former: Unified retrieval and reranking transformer for place recognition.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer R2former: Unified retrieval and reranking transformer for place recognition

Reference 72

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no resolver link, observed 2026-08-03T14:15:22.880265Z

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Pith citing papers

Observation 09d731d8-7049-4436-b0c8-4a367d558392 · inbound

Keep It CALM: Toward Calibration-Free Kilometer-Level SLAM with Visual Geometry Foundation Models via an Assistant Eye cites this paper.

Keep It CALM: Toward Calibration-Free Kilometer-Level SLAM with Visual Geometry Foundation Models via an Assistant Eye UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer

Reference 53

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arxiv_id, observed 2026-06-30T03:18:05.886082Z

Source-reported events for the cited work

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Observation c6c82e1e-580d-4d1d-a7e7-b88d5238dd56 · inbound

VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction cites this paper.

VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer

Reference 6

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verified exact
arxiv_id, observed 2026-06-30T03:18:05.886082Z

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

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Observation 6c989688-fcb6-4895-8b1d-f996cb21ea5e · inbound

From Open Waters to Enclosed Cabins: ProteusVPR for Cross-Scene Visual Place Recognition in Maritime Perception and Cabin Inspection cites this paper.

From Open Waters to Enclosed Cabins: ProteusVPR for Cross-Scene Visual Place Recognition in Maritime Perception and Cabin Inspection UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer

Reference 27

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verified exact
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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.

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Observation 5b29a7ac-b8ed-4d06-a848-4fa4106c5096 · inbound

From Open Waters to Enclosed Cabins: ProteusVPR for Cross-Scene Visual Place Recognition in Maritime Perception and Cabin Inspection cites this paper.

From Open Waters to Enclosed Cabins: ProteusVPR for Cross-Scene Visual Place Recognition in Maritime Perception and Cabin Inspection UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer

Reference 27

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unresolved
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Unavailable: canonical work link unavailable.

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