Pith. sign in

Paper Citation Record · LEDGER

UniLoc: Towards Universal Place Recognition Using Any Single Modality

As of 23 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 6 inbound Pith citation observations for arXiv:2412.12079.

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

pith.paper-citation-record.v1
2412.12079 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:21:32.983098Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:03:07.861599Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:26:28.561262Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact2
  • verified fuzzy38
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d116afa8-0aa1-49c2-94a2-a577cbc22d80 · outbound

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

UniLoc: Towards Universal Place Recognition Using Any Single Modality Mixvpr: Feature mixing for visual place recognition

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.511606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.817173Z digest=sha256:d597c20d89d57f54674f49680bd61cf6b76de5f6c5d34f79a11f763d286dff57

Observation fecc5b1d-023b-412d-9e1a-254199542a28 · outbound

This paper cites Pointnetvlad: Deep point cloud based retrieval for large-scale place recognition.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Pointnetvlad: Deep point cloud based retrieval for large-scale place recognition

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.500439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.821642Z digest=sha256:8960241bcc4ae7bc369562f887da233cbfdf5260dddb3bab0f1514b1b5147dc0

Observation d826072e-f92c-4891-8510-6efa4ae1c564 · outbound

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

UniLoc: Towards Universal Place Recognition Using Any Single Modality Netvlad: Cnn architecture for weakly supervised place recognition

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.489743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.825381Z digest=sha256:728dc47af16c6f8f512ee1aeb8b4fbc7ea942e6ea2aac1514ebf4651c7979d73

Observation b4cb850c-f551-42aa-87fd-1e1cde7875a7 · outbound

This paper cites Attdlnet: Attention-based deep network for 3d lidar place recognition.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Attdlnet: Attention-based deep network for 3d lidar place recognition

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.479266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.829806Z digest=sha256:f7335cad89af21fb3bfbd36be1a0afb811128c3451da251422c1b49c3bb1c37b

Observation 07fca67b-76ff-4937-b981-00825513738b · outbound

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

UniLoc: Towards Universal Place Recognition Using Any Single Modality Re- thinking visual geo-localization for large-scale applications

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.468818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.834091Z digest=sha256:3336eece62d4d2dc480c11436ce11b4b80b0032b97d8afa8c201550016702bb9

Observation 563532dc-081a-488e-b9e9-dac809e8458a · outbound

This paper cites Unifying deep local and global features for image search.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Unifying deep local and global features for image search

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.457809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.837985Z digest=sha256:517e50c575acdf89e89a9922af4be0e92cf44ee3d2d77959363f103053803c39

Observation e9b96189-917c-41b5-957c-ad1186294259 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Emerg- ing properties in self-supervised vision transformers

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.447206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.842053Z digest=sha256:c3c362ab2601885dc30b56a3a6f90c2697c4a25f2e03c5857e23e4130b0647f4

Observation 93512325-5141-40bc-a2dc-646a8ea01ed0 · outbound

This paper cites Global visual localization in lidar-maps through shared 2d-3d em- bedding space.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Global visual localization in lidar-maps through shared 2d-3d em- bedding space

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.435595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.845847Z digest=sha256:8f04b4a42067b100a4d09d0ab5d248afb8ddbef86e46531cba8ae4c7882d1328

Observation 86a19e32-380e-4e66-95d0-45d128cad2da · outbound

This paper cites Global visual localization in lidar-maps through shared 2d-3d em- bedding space.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Global visual localization in lidar-maps through shared 2d-3d em- bedding space

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.422614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.849229Z digest=sha256:67815b7bab8577280b43ab948fbc0bbe1ed67bd9202df322ae1e6053b815d8a5

Observation 68ef41a2-0604-405e-9cc1-e26899968e04 · outbound

This paper cites Towards natural language-guided drones: Geotext-1652 benchmark with spatial relation matching.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Towards natural language-guided drones: Geotext-1652 benchmark with spatial relation matching

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.410848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.852470Z digest=sha256:382ee63d07d7ee53e5263048f904246ff6383280e41e7d72e102de3408f1b687

Observation 124e457d-fa03-4abc-a8be-71f797ff1c0b · outbound

This paper cites Ppfnet: Global context aware local features for robust 3d point match- ing.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Ppfnet: Global context aware local features for robust 3d point match- ing

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.399632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.856192Z digest=sha256:371cc97b560aeffaae4a76acc7b973b8f101bb1b4196c5aa5502b0291161219a

Observation e0f9acc0-90a9-49da-84fe-2904a0256f1f · outbound

This paper cites Svt-net: Super light-weight sparse voxel transformer for large scale place recognition.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Svt-net: Super light-weight sparse voxel transformer for large scale place recognition

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.388907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.860098Z digest=sha256:8a497b89bc9b1767725fb1f95c4c1f392cc6ef0847c96618997b0a3320d746e9

Observation 3acc18f8-f942-4279-8d39-07412e6f35de · outbound

This paper cites Imagebind: One embedding space to bind them all.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Imagebind: One embedding space to bind them all

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.378597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.863296Z digest=sha256:887678eec96d419e512e2a4a54c82d5cab90a39f766c5521e67021e78a28f255

Observation 7201d688-2db2-494f-9c8d-a2e92ae87386 · outbound

This paper cites Deep residual learning for image recognition.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Deep residual learning for image recognition

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T14:21:32.866716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:21:32.866716Z digest=sha256:fcf9b952cca3de829bfe26319bd22ff02a6be910fc721acc52cfcc07a4f673ec

Observation 55b7796c-0724-4cb5-9471-fc292da3cf10 · outbound

This paper cites Anyloc: Towards universal visual place recog- nition.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Anyloc: Towards universal visual place recog- nition

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.360885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.870207Z digest=sha256:7dfa39c7881ae633e1c49bc15cfc33aebaf89ee4432ee78b0d4016a2f33fddc2

Observation ea6ce332-0099-4321-b5bc-c5caa0d30e74 · outbound

This paper cites Text2pos: Text-to-point-cloud cross-modal localiza- tion.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Text2pos: Text-to-point-cloud cross-modal localiza- tion

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.349226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.873478Z digest=sha256:9d4fc8cf4ba0bd109e0066d98340a9aa874c33f8be521c825695ee1dd00cb27f

Observation 17070bf4-b063-485f-bf75-5107c3f752d4 · outbound

This paper cites Minkloc3d: Point cloud based large- scale place recognition.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Minkloc3d: Point cloud based large- scale place recognition

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.337842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.876902Z digest=sha256:0b61e2eb51748369e1ef31cd10fdcea78ec697318a2c272c4ab763e84ae881e5

Observation c3959651-8867-4d3a-97c1-097a986a8575 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision- language understanding and generation.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Blip: Bootstrapping language-image pre-training for unified vision- language understanding and generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T14:21:32.880511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:21:32.880511Z digest=sha256:3f6c4f7dd1ae78022d82abca024c80bf4921112a98bd56b275fd1be51431dfeb

Observation bc5f5782-2c1d-4183-915b-9cd3355ab3f5 · outbound

This paper cites Blip- 2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Blip- 2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T14:21:32.884129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:21:32.884129Z digest=sha256:42c49d33268c4cd6e976a790c2c4d892bcc9ac7eba6ee932f1a3f7cc70c51734

Observation 28b71cde-79c3-40bd-9864-aed8fa6d63ab · outbound

This paper cites Vxp: V oxel-cross-pixel large-scale image-lidar place recognition.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Vxp: V oxel-cross-pixel large-scale image-lidar place recognition

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.312494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.887933Z digest=sha256:ed35afeadae9a21961315085563c40afcc58502d109fbd7d719cc9217269586e

Observation 9dd6d0b5-3d94-4551-83c0-c7c3cdf394e1 · outbound

This paper cites Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.301638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.891112Z digest=sha256:6115df84d29426b203db61e3981993d139d92e237457e4388ac32e91724948ff

Observation bae35553-b73c-4a4b-b3ae-ea9f3acff173 · outbound

This paper cites Feature pyramid networks for object detection.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Feature pyramid networks for object detection

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.291039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.894836Z digest=sha256:986383316a951f84efe69c40cb98e034f2f434101cc8e25d55987bd561475375

Observation 9ee7072f-4409-4170-8224-e06604a170aa · outbound

This paper cites Overlaptransformer: An efficient and yaw- angle-invariant transformer network for lidar-based place recognition.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Overlaptransformer: An efficient and yaw- angle-invariant transformer network for lidar-based place recognition

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.280903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.898457Z digest=sha256:2e1eb06bc42736e40d25e603720c6e9dea0f08ecf79da741aad6fac4e7cd1eed

Observation cb891e00-56da-4558-a4b1-1630cd292e11 · outbound

This paper cites CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR Data.

UniLoc: Towards Universal Place Recognition Using Any Single Modality CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR Data

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:21:33.047064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.901832Z digest=sha256:729666225bef1e0da8e65a8016b810d13f03137563dbdd1ef62d47b7ec8a0aaa

Observation 33542542-0aaa-4eaf-9509-be5c2f978664 · outbound

This paper cites Large-scale image retrieval with attentive deep local features.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Large-scale image retrieval with attentive deep local features

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.269616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.905850Z digest=sha256:f80b1b0204949449ea541341d77c23b1094aac895789cc2ac13c8f8058efdc8b

Observation ccfa8cfb-660e-40cb-ac2a-d6c94eddbf1c · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T14:21:32.909280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:21:32.909280Z digest=sha256:38e36716c43d2907bd6e31a6ce97fa602435527566843337a5d1a1ef12d89572

Observation 977c6c24-1d42-4767-9528-d111c79037f4 · outbound

This paper cites Fine- tuning cnn image retrieval with no human annotation.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Fine- tuning cnn image retrieval with no human annotation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.251783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.913287Z digest=sha256:7496b975ca998e7ad0aaf91b38d1ca815655a9ff6314b95cb1ff57ea078ae3a9

Observation 7a49f71b-7124-4a71-bdc5-51eaf9be5d3f · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Learning transferable visual models from natural language supervi- sion

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T14:21:32.917136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:21:32.917136Z digest=sha256:78dea0caf5cc99dacc867fd47442f5ede13081ecfb528fe189a530559d75cf65

Observation 39e28897-416b-43a7-96f1-7fe3920403db · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.232591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.920614Z digest=sha256:bdd6774dbc155ec446c42fab4f18571efb0f044a5a476b42df62ee8753455d88

Observation f1f5873e-5ff1-4b88-8498-9843a208a06a · outbound

This paper cites Lip-loc: Lidar image pre- training for cross-modal localization.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Lip-loc: Lidar image pre- training for cross-modal localization

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.220120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.924176Z digest=sha256:bfb3718bb694ca82d7e2bb3aed8a07fa772e0ee0fc97eca9d60a5c492d537e60

Observation cb8afa28-ee6f-404b-9a37-f5ec590a15d0 · outbound

This paper cites Visual place recognition with repetitive structures.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Visual place recognition with repetitive structures

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.208171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.927156Z digest=sha256:eb748107db403365dd4ad2e41590b2aff32f4bcc95be7dc8136ce76e7c742242

Observation 3b655ddf-f65d-410a-ad34-de80fe21fec1 · outbound

This paper cites Visualizing data using t-sne.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Visualizing data using t-sne

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.196990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.930093Z digest=sha256:c862b443b3fb71763fa2d87a23a21cccd403faac3b943d557d393b0a9cb0057c

Observation b7f5a894-ef61-422f-9ecf-3ba06c198257 · outbound

This paper cites Attention is all you need.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Attention is all you need

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T14:21:32.932972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:21:32.932972Z digest=sha256:7bdceb37f1f89543e9a34083538dd41963d64987b16a67f069b6fc8944451760

Observation c2bbb6d2-45aa-4763-b880-ee4281852e00 · outbound

This paper cites Text to Point Cloud Localization with Relation-Enhanced Transformer.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Text to Point Cloud Localization with Relation-Enhanced Transformer

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:21:33.031038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.936320Z digest=sha256:50ef58ec21654dd6d52067b34ae62766c4107c4a0600858ed51cd2e01d23cf17

Observation e0bfdf24-3a6f-445b-beea-137c082431cd · outbound

This paper cites Google landmarks dataset v2-a large-scale benchmark for instance-level recognition and retrieval.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Google landmarks dataset v2-a large-scale benchmark for instance-level recognition and retrieval

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.179315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.939573Z digest=sha256:f630e13b2789d9ce54c0d7941a126c622b07544a81ec097da05340f67c1753c5

Observation 817cb771-9a6f-427e-b7d9-09c0f338fbc2 · outbound

This paper cites Soe-net: A self-attention and orien- tation encoding network for point cloud based place recogni- tion.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Soe-net: A self-attention and orien- tation encoding network for point cloud based place recogni- tion

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.168770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.942878Z digest=sha256:b9c2fa12f55105a96584bdd4fc6dbd338c0f28c59d756db068eb576f972a9155

Observation a295c1ee-caa4-4a62-a6c7-a4596ed63108 · outbound

This paper cites Vpc-net: Completion of 3d vehicles from mls point clouds.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Vpc-net: Completion of 3d vehicles from mls point clouds

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.157859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.946194Z digest=sha256:631dd2395cd41be7cf26039d1d9b1c9cfb192ef2dbeb85d174f6368f24e9f48f

Observation 6597ff89-63ab-4a2c-8ba5-3decd93a2f15 · outbound

This paper cites Casspr: Cross attention single scan place recognition.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Casspr: Cross attention single scan place recognition

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.146821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.949377Z digest=sha256:a20472233568018e1915453af0d9542df00324bf5f646496a75779362fecbb91

Observation 51b3e5d7-ce03-49fe-8a27-d5917abcad18 · outbound

This paper cites Text2loc: 3d point cloud localization from natural language.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Text2loc: 3d point cloud localization from natural language

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.135840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.953036Z digest=sha256:bee9838b371f8597c499abc5aaa3aa918c2c4c68c389e6b8a8f0c2c7e98aa126

Observation 4294d1b4-93f8-451f-b534-66e661f0bae5 · outbound

This paper cites Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.124970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.956672Z digest=sha256:9697b0909b1c4d3a96fcd9e15172fe63562e1952920c77a6e44d6b3f73ab0765

Observation e8a0c71f-bf95-4188-bd43-92b37baf1163 · outbound

This paper cites Multi-grained vision language pre-training: Aligning texts with visual concepts.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Multi-grained vision language pre-training: Aligning texts with visual concepts

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.114646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.960352Z digest=sha256:b8cdcee7687fb2f6a3b78489294f72713b078177864f1323957b2b00e38b6ccd

Observation 021774b1-5f04-440e-8fff-9ce6a80632c8 · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

UniLoc: Towards Universal Place Recognition Using Any Single Modality DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T14:21:32.963897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:21:32.963897Z digest=sha256:60e5b0995dd7669d2070914f59d30612c26891c14019fa15dec0a42c112f60eb

Observation 4c766545-8a09-4b6d-9b9e-0a8acf552134 · outbound

This paper cites Rank-pointretrieval: Reranking point cloud retrieval via a visually consistent registration evaluation.IEEE Transactions on Visualization and Computer Graphics, 2022.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Rank-pointretrieval: Reranking point cloud retrieval via a visually consistent registration evaluation.IEEE Transactions on Visualization and Computer Graphics, 2022

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.104073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.967727Z digest=sha256:e20a0993fe5dc13491eda0bd46b279136db6ee051c0c60600d59b5d8bc51a07e

Observation adc8198f-ed07-47b7-89df-4e523ad7b155 · outbound

This paper cites Pyramid scene parsing network.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Pyramid scene parsing network

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.092869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.971573Z digest=sha256:35d23dc94ca48dc913330fbddbebf7ccfb9679c8d63b26d7d62da22157917463

Observation 8227241e-c1a8-4a13-80b2-0977c1a2f15e · outbound

This paper cites pole" and.

UniLoc: Towards Universal Place Recognition Using Any Single Modality pole" and

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.081887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.975367Z digest=sha256:3933805fb6ed02ac37a9ecaa7de055e22a862bfc98b4bef8b0902484032dc7b0

Observation 96284475-f1fe-421b-8c47-2430c089410e · outbound

This paper cites Subsequently, the final model undergoes an additional 20 epochs of training with a batch size of 64.

UniLoc: Towards Universal Place Recognition Using Any Single Modality Subsequently, the final model undergoes an additional 20 epochs of training with a batch size of 64

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.070076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.979131Z digest=sha256:6d0d3a3a2ca60fc1fea6aefc0bcbeb1cff018fdaddd4f15562884cc032500efc

Observation ad9636f6-9b79-48eb-b732-380a19ce7d4b · outbound

This paper cites 1 Figure 8.

UniLoc: Towards Universal Place Recognition Using Any Single Modality 1 Figure 8

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:21:33.058451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T14:21:32.983098Z digest=sha256:091ef4d87eb1b936775398ebb37dcfed730ca45fcb595a686c83de3f54309101

Pith citing papers

Observation 2f2fe439-a896-4495-8941-837e4928b49d · inbound

OPAL: Visibility-aware LiDAR-to-OpenStreetMap Place Recognition via Adaptive Radial Fusion cites this paper.

OPAL: Visibility-aware LiDAR-to-OpenStreetMap Place Recognition via Adaptive Radial Fusion UniLoc: Towards Universal Place Recognition Using Any Single Modality

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T06:03:07.861599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:03:07.861599Z digest=sha256:966a4b26ea3006b6aa32f91e211683f81f1627395957efdc24e956136c1fff31

Observation d42622a4-b6d5-4da5-9e3c-b429c02d8f4c · inbound

SGLoc: Semantic Localization System for Camera Pose Estimation from 3D Gaussian Splatting Representation cites this paper.

SGLoc: Semantic Localization System for Camera Pose Estimation from 3D Gaussian Splatting Representation UniLoc: Towards Universal Place Recognition Using Any Single Modality

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T17:01:22.993194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:01:22.993194Z digest=sha256:5c9e85c51a1720f92f747cf15a6aec07c06a2da453d813d9dc4be7b9b27cc143

Observation 6574fb6f-27c5-40f6-84a0-b92d51ed66e5 · inbound

HCCM: Hierarchical Cross-Granularity Contrastive and Matching Learning for Natural Language-Guided Drones cites this paper.

HCCM: Hierarchical Cross-Granularity Contrastive and Matching Learning for Natural Language-Guided Drones UniLoc: Towards Universal Place Recognition Using Any Single Modality

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T16:42:33.265398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:42:33.265398Z digest=sha256:f424faac2b212a97e5601162146f588b8db0a44d2344afcef52f7eabf7d13d10

Observation c146c42e-a758-44c2-92a5-a8bd1894ed7f · inbound

MAG-VLAQ: Multi-modal Aerial-Ground Query Aggregation for Cross-View Place Recognition cites this paper.

MAG-VLAQ: Multi-modal Aerial-Ground Query Aggregation for Cross-View Place Recognition UniLoc: Towards Universal Place Recognition Using Any Single Modality

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:26:28.570394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T02:57:02.412676Z digest=sha256:3bee7b84191bd50d525b5f17e227f1e26503492a52e1224cdf3837959aae72a5

Observation 849f0f77-19a5-49e0-b3a2-c3b2b1b3d785 · inbound

G2IA: Geometry-Guided Instance-Aware Retrieval and Refinement for Cross-Modal Place Recognition cites this paper.

G2IA: Geometry-Guided Instance-Aware Retrieval and Refinement for Cross-Modal Place Recognition UniLoc: Towards Universal Place Recognition Using Any Single Modality

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T11:25:08.373705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:25:08.373705Z digest=sha256:cd4594cf221ae2331753af9f94ec2616fca6cdf62b920ae93b1df5d6241b49b8

Observation 5e657da9-7227-4b58-98ff-5a0a50c6223b · inbound

GRASP: Granularity-Aware Region Alignment and Semantic Prototype Learning for Fine-Grained Cross-Modal Understanding in Drone Views cites this paper.

GRASP: Granularity-Aware Region Alignment and Semantic Prototype Learning for Fine-Grained Cross-Modal Understanding in Drone Views UniLoc: Towards Universal Place Recognition Using Any Single Modality

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T20:29:00.837208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:29:00.837208Z digest=sha256:825ce7462c7c6f02ac76586dfe0a17d8c746396a73f8b1fcfd6cbd2e9daa86bd