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Paper Citation Record · LEDGER

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization

As of 10 August 2026, this Paper Citation Record lists 100 of 129 outbound references and 0 inbound Pith citation observations for arXiv:2607.15713.

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

pith.paper-citation-record.v1
2607.15713 v1

Coverage vector

measured 100 of 129 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:34:54.404248Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

100 of 129 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 61b5e230-e7c1-449e-a2fc-1ca216aeaed4 · outbound

This paper cites WAIR-D: Wireless AI Research Dataset.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization WAIR-D: Wireless AI Research Dataset

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:45.756538Z digest=sha256:46bcdbbce4cf39f55ad2b7746885d877fc1b3e39a1121a399a6328d7e174ba85

Observation b0317b8b-fa89-459c-ae0c-3f0e01039bf5 · outbound

This paper cites IEEE Journal on Selected Areas in Communications , volume=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization IEEE Journal on Selected Areas in Communications , volume=

Reference 2

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no resolver link, observed 2026-08-01T22:34:45.875553Z

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source=arxiv_source observed=2026-08-01T22:34:45.875553Z digest=sha256:0c56f6fbedb20b90140b532447abc7526cd6b93586d2fff9e6d4ce8e829a3b84

Observation 10ac04c0-cd4f-4317-ba8c-b05994da264a · outbound

This paper cites IEEE Sensors Journal , volume=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization IEEE Sensors Journal , volume=

Reference 3

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no resolver link, observed 2026-08-01T22:34:45.956111Z

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source=arxiv_source observed=2026-08-01T22:34:45.956111Z digest=sha256:7508de4fa02d4727846d3f0914db1e0b7ce40b830661d669a0e3b4cb70e1247e

Observation e46c5153-d59e-4da7-8190-0f28cf5ab237 · outbound

This paper cites 2019 28th Wireless and Optical Communications Conference (WOCC) , pages=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization 2019 28th Wireless and Optical Communications Conference (WOCC) , pages=

Reference 4

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source=arxiv_source observed=2026-08-01T22:34:46.059646Z digest=sha256:8ee3cf04ba64de7239cd9bf242fe62e448386407a8df9195a8324cbac532f9f1

Observation 24b55033-5143-43aa-8927-37e77c4d5a6b · outbound

This paper cites IEEE Transactions on Vehicular Technology , year=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization IEEE Transactions on Vehicular Technology , year=

Reference 5

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no resolver link, observed 2026-08-01T22:34:46.149681Z

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source=arxiv_source observed=2026-08-01T22:34:46.149681Z digest=sha256:31f0c7570acec2231a0f28db7d840298ccffd4f3263a2e2b2d4ec306999444c6

Observation 7744076b-b448-42e3-bd86-e2938196d7ce · outbound

This paper cites 2024 14th International Conference on Indoor Positioning and Indoor Navigation (IPIN) , pages=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization 2024 14th International Conference on Indoor Positioning and Indoor Navigation (IPIN) , pages=

Reference 6

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unresolved
no resolver link, observed 2026-08-01T22:34:46.244366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:46.244366Z digest=sha256:aa81dd41544e67085697739ce479a2ed566fbf5b29c4887d89f9ebd75a261676

Observation 8e76ef36-26a5-4a57-ad4a-c887ef1f0c3b · outbound

This paper cites Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Reference 7

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source=arxiv_source observed=2026-08-01T22:34:46.335817Z digest=sha256:b0eb64bb691ce836ac050a506d1becb37ab1e0f797dcf1e532cf7f190bc4da12

Observation 9b08aaf6-d942-4483-8e20-74193acdfc7e · outbound

This paper cites WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence

Reference 8

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source=arxiv_source observed=2026-08-01T22:34:46.394854Z digest=sha256:c3a1f436060be33b5f6e17d520f3a8a9838a120879413a65f93c1bb970e1422d

Observation e61a0f06-c594-4897-b378-ff0944fffffe · outbound

This paper cites 2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) , volume=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization 2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) , volume=

Reference 9

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no resolver link, observed 2026-08-01T22:34:46.489686Z

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source=arxiv_source observed=2026-08-01T22:34:46.489686Z digest=sha256:855d4c6ff3b696027de75de3242e1cfe71365c32ea6cba3b84652048831bd18b

Observation 558b5819-1ecf-47e1-b2ae-49e2c9ae259e · outbound

This paper cites IEEE Transactions on Vehicular Technology , year=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization IEEE Transactions on Vehicular Technology , year=

Reference 10

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no resolver link, observed 2026-08-01T22:34:46.568248Z

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source=arxiv_source observed=2026-08-01T22:34:46.568248Z digest=sha256:204592914ec2bd937511c6ae4a6066a4ad2b6a0f9bf5c2dc037451f12923bdf4

Observation 503c1fb4-2d95-42c0-8e01-7f15f027a43e · outbound

This paper cites DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications

Reference 11

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source=arxiv_source observed=2026-08-01T22:34:46.654685Z digest=sha256:339ca5cfb935a4f385f20f1d1eb981ab92930056d79ed6c85210da313422b1e9

Observation e025c097-de42-4287-8a6d-47c8546cae20 · outbound

This paper cites 2013 , publisher=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization 2013 , publisher=

Reference 12

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source=arxiv_source observed=2026-08-01T22:34:46.764784Z digest=sha256:74708542316761d45f7c8f4176052e04cd4fdf5fd49a888828c31d00cdada38f

Observation b0f75c7d-2306-4572-9a69-ae0e384a0af1 · outbound

This paper cites , title =.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization , title =

Reference 13

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source=arxiv_source observed=2026-08-01T22:34:46.814649Z digest=sha256:730e0eb5393d54bce80bcd83713c8854e14211a6d25740b5a7add09b538eaab2

Observation e0aaa182-5dba-4928-8414-17c13128ee4a · outbound

This paper cites 2023 , publisher=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization 2023 , publisher=

Reference 14

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source=arxiv_source observed=2026-08-01T22:34:46.901715Z digest=sha256:3f135aa229d76bc3ff1c264281d436ba361d7a20d68dd15bb30a1337163446f4

Observation e1620dff-2203-42fd-8305-7de371a53939 · outbound

This paper cites 2023 , publisher=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization 2023 , publisher=

Reference 15

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source=arxiv_source observed=2026-08-01T22:34:46.991667Z digest=sha256:9808753b191c312c0381ff9c262b3fda6527295a813d30daf885c74a26ba92db

Observation ad911fe3-429b-478d-97ab-d0bf6c361337 · outbound

This paper cites IEEE Trans.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization IEEE Trans

Reference 16

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no resolver link, observed 2026-08-01T22:34:47.076894Z

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source=arxiv_source observed=2026-08-01T22:34:47.076894Z digest=sha256:4c81f1bd67d97e72f0d15445c471d1e6389101fc4c7499c1f90e37adbcb2fbce

Observation 9ee9e133-2a67-41a8-8b3c-321c1bec7f21 · outbound

This paper cites IEEE Commun.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization IEEE Commun

Reference 17

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source=arxiv_source observed=2026-08-01T22:34:47.162667Z digest=sha256:7c049e0ac194af7c82514bca3aa06e8cceadc2da6dbe63239c876d074314736d

Observation 5a402d6b-66d3-430a-a613-a35adecd9c4b · outbound

This paper cites Location-Dependent Performance Analysis for.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Location-Dependent Performance Analysis for

Reference 18

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source=arxiv_source observed=2026-08-01T22:34:47.256726Z digest=sha256:2b1e8c4dfcabd2c87b87ff91388d8530340dadc48b786a647a8d3d3f1d66d732

Observation 91cccd2f-2732-40a5-82bb-971fc0fdb4fd · outbound

This paper cites Location based joint spectrum sensing and radio resource allocation in cognitive radio enabled.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Location based joint spectrum sensing and radio resource allocation in cognitive radio enabled

Reference 19

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source=arxiv_source observed=2026-08-01T22:34:47.343622Z digest=sha256:49a135b842e4cdcf9c2424a75b90bbd6ff74e0c55b700ac34de554d1ce18a85f

Observation b6d8a298-db55-4b0b-8815-563da70ed33f · outbound

This paper cites Orientation and location tracking of.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Orientation and location tracking of

Reference 20

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source=arxiv_source observed=2026-08-01T22:34:47.418819Z digest=sha256:d48cf0cfa8f0dcde1ae6cd6559adb3b5ce99e59133d5c063546545ce35d7d80a

Observation 35163b3a-677f-4ee4-a022-b1e71c4fa5e7 · outbound

This paper cites 2017 , publisher=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization 2017 , publisher=

Reference 21

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source=arxiv_source observed=2026-08-01T22:34:47.483754Z digest=sha256:47a08ca104557d05ec6734ce2e65ef3363f7a4e81c35e0dbf71830a57e018fec

Observation c8f76394-5dce-4d4d-abb0-285246d54814 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Representation Learning with Contrastive Predictive Coding

Reference 22

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no resolver link, observed 2026-08-01T22:34:47.562138Z

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source=arxiv_source observed=2026-08-01T22:34:47.562138Z digest=sha256:5c8cb7e4f480a2294661eb33857eec6c5a097ef017502de4f78e798686479769

Observation 603c1fd6-2df7-4cce-b721-5bc4ce17a9ca · outbound

This paper cites 2024 , publisher=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization 2024 , publisher=

Reference 23

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source=arxiv_source observed=2026-08-01T22:34:47.667587Z digest=sha256:ae5b34023accbd2b70f79ed719b0e1882f4577903936de58386402bdee829357

Observation fffa86fe-473f-483a-834c-c7bbe42d7bed · outbound

This paper cites and Svensson, Tommy and Schindhelm, Kim and Wolfgang, Andreas and Lindberg, Simon and Wymeersch, Henk , journal=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization and Svensson, Tommy and Schindhelm, Kim and Wolfgang, Andreas and Lindberg, Simon and Wymeersch, Henk , journal=

Reference 24

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source=arxiv_source observed=2026-08-01T22:34:47.759153Z digest=sha256:d9b4ea8efd40bdaf684df89fbe3b740b7d3a3409e11c65c3767a93d8b618bec3

Observation 09549ef3-8fa0-43d8-8b63-a35bc88e40cd · outbound

This paper cites 2024 , volume=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization 2024 , volume=

Reference 25

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source=arxiv_source observed=2026-08-01T22:34:47.819953Z digest=sha256:c2f90337ba2233df58eca196c87d6c149dca731b1479269c3640eaf7e5869b87

Observation 82ceba97-3e27-4559-862c-624bbd0ad648 · outbound

This paper cites and Moghaddam, Mohammad H.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization and Moghaddam, Mohammad H

Reference 26

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source=arxiv_source observed=2026-08-01T22:34:47.924865Z digest=sha256:23f865b11a82453273863d64221a8e606e6979f547d2ddbee67658f62192f389

Observation acc499e4-8894-43d8-9e32-b4e7a57568c6 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 27

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source=arxiv_source observed=2026-08-01T22:34:48.016664Z digest=sha256:a3503099a15ec03b05dfcc343076d02b5e5f592ada2419335279f04332986371

Observation a0424632-b6c6-4789-9a73-3966f61ced55 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 28

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source=arxiv_source observed=2026-08-01T22:34:48.110844Z digest=sha256:74cd8be0cd00441735eab65f98ef5a0a17beeb1822480e186359f33cc88e04f0

Observation 22d3259c-ecb4-4784-b5d8-b30d9cfdfe03 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 29

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no resolver link, observed 2026-08-01T22:34:48.182040Z

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source=arxiv_source observed=2026-08-01T22:34:48.182040Z digest=sha256:fd446b945b90851bfc00a8b3bda49a68c06ac1f70d2e4eb51834b12dd8a80449

Observation 83a7ccc6-d790-4563-8963-10e6f70b473b · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 30

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no resolver link, observed 2026-08-01T22:34:48.290258Z

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source=arxiv_source observed=2026-08-01T22:34:48.290258Z digest=sha256:0d07b63bbe8c4597a13f164cc6c20af33700f7e42ae670d0c3149003d51641e4

Observation e2e7eb39-acf2-4bd5-8a2b-c4cd208877da · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 31

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source=arxiv_source observed=2026-08-01T22:34:48.369313Z digest=sha256:bd9534f96cbf40ae08e54abc6619f00f171f8c6cc785d0c709fb8ba4d1c746c7

Observation 1a0bd60a-f7ea-4984-83c7-c58357bf9419 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 32

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source=arxiv_source observed=2026-08-01T22:34:48.431003Z digest=sha256:23e2b1571a77f7deafe2e583a0487e9ab3625096ad363ad19c4c5c717a82821e

Observation cd82ecf7-f793-4fe0-9cbf-dbba42283331 · outbound

This paper cites Foundation Model-Based Multimodal Remote Sensing Data Classification , year=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Foundation Model-Based Multimodal Remote Sensing Data Classification , year=

Reference 33

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no resolver link, observed 2026-08-01T22:34:48.529161Z

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source=arxiv_source observed=2026-08-01T22:34:48.529161Z digest=sha256:b699e1d99c3e4e5d539d92a35f96613f0ce5393c11011be5a2add87989978c8f

Observation b5133064-a7d8-471d-b76a-fa266bbaeeba · outbound

This paper cites Nature Communications , year=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Nature Communications , year=

Reference 34

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no resolver link, observed 2026-08-01T22:34:48.639021Z

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source=arxiv_source observed=2026-08-01T22:34:48.639021Z digest=sha256:db35e40e92090cafb54cc6992a3cc50363bd0ff91b12f7cde25d17399cbe0e86

Observation 14ea71fa-78ff-4dac-9f6d-36a2dda47db6 · outbound

This paper cites Deep learning-based multi-user positioning in wireless.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Deep learning-based multi-user positioning in wireless

Reference 35

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no resolver link, observed 2026-08-01T22:34:48.721994Z

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source=arxiv_source observed=2026-08-01T22:34:48.721994Z digest=sha256:dc706ff8044088bb740adb6a8bc2f425746a9fcfe47a4ee17065f7af2db6f934

Observation 5f814115-ed1e-49ce-baa1-6e2aab70c7f8 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:48.824770Z digest=sha256:f6e1e204258323391dd686979ee1ba6e228bc77e12ce35e4083b0335d4ba6f61

Observation 61da964f-d5b5-4777-99d1-151574042c85 · outbound

This paper cites A tutorial on terahertz-band localization for.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization A tutorial on terahertz-band localization for

Reference 37

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no resolver link, observed 2026-08-01T22:34:48.946739Z

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source=arxiv_source observed=2026-08-01T22:34:48.946739Z digest=sha256:be0a81ce7f0461220453ef3e47d79cfee35926375de75c63cc238ced268b8dfe

Observation c8e56992-3864-4cc7-b134-c8b43d188648 · outbound

This paper cites A Tutorial on.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization A Tutorial on

Reference 38

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source=arxiv_source observed=2026-08-01T22:34:49.022861Z digest=sha256:f800e7936ded9fcc7c8de8921f5101226192b2b517c5e2dfb3cd8320ef5430a2

Observation 99ff45eb-f507-49e2-828b-81469e1b5411 · outbound

This paper cites Learning to localize: A.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Learning to localize: A

Reference 39

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source=arxiv_source observed=2026-08-01T22:34:49.124913Z digest=sha256:23a832d4870c070283e7ea6b90075b310d819be7271d6aeb2b8d23139e821031

Observation 3e827423-f9cb-4455-9603-48c390629b2a · outbound

This paper cites 2021 , publisher=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization 2021 , publisher=

Reference 40

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source=arxiv_source observed=2026-08-01T22:34:49.181355Z digest=sha256:257bee2ee35268d1c14ebc53af5ad04db19dde6788df172f37cf78d0177516b1

Observation e2441201-a875-4873-9b14-1722e5e77fd9 · outbound

This paper cites and Crouse, Michael B.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization and Crouse, Michael B

Reference 41

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source=arxiv_source observed=2026-08-01T22:34:49.246699Z digest=sha256:cbb4c85c835ccf9f2abc48c4a62e3bb063e1b9912b79e99655933976ded79739

Observation 888bc60a-8ea4-4e08-a4d1-0a39a645ce80 · outbound

This paper cites High Accurate Time-of-Arrival Estimation With Fine-Grained Feature Generation for Internet-of-Things Applications , year=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization High Accurate Time-of-Arrival Estimation With Fine-Grained Feature Generation for Internet-of-Things Applications , year=

Reference 42

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source=arxiv_source observed=2026-08-01T22:34:49.301956Z digest=sha256:80130d87f48d7e180fd74b39fe2d09fb410e63ef4c8cf4910e5e0d9905088dad

Observation 2a97f5b9-2454-4b12-b149-c262ba263790 · outbound

This paper cites A transformer-based signal denoising network for.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization A transformer-based signal denoising network for

Reference 43

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no resolver link, observed 2026-08-01T22:34:49.383924Z

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source=arxiv_source observed=2026-08-01T22:34:49.383924Z digest=sha256:27283850fd4a8aa5880462a9e86d622244f75f5357baae20ac63aa5d7516b253

Observation c1db8424-3253-4281-ac44-59b720812563 · outbound

This paper cites 2023 , publisher=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization 2023 , publisher=

Reference 44

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no resolver link, observed 2026-08-01T22:34:49.484883Z

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source=arxiv_source observed=2026-08-01T22:34:49.484883Z digest=sha256:ea7e8b58999c34ed5d9a7756dcff92fdd8cd4f70babf9534321bf4332b356dd9

Observation e837e7f2-5630-4730-9ff3-6e3c1e7ce0c2 · outbound

This paper cites Deep learning based fingerprint positioning for multi-cell massive.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Deep learning based fingerprint positioning for multi-cell massive

Reference 45

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no resolver link, observed 2026-08-01T22:34:49.565015Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:49.565015Z digest=sha256:3b633f36973c51e06587711971588ff5fa06b53a995dfff21bf019247fd3d295

Observation 5ddb3281-0093-4317-9384-5d2800bee03d · outbound

This paper cites Swin-Loc: Transformer-based.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Swin-Loc: Transformer-based

Reference 46

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no resolver link, observed 2026-08-01T22:34:49.685887Z

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source=arxiv_source observed=2026-08-01T22:34:49.685887Z digest=sha256:3ab72478c0b2bb2f4357d542ddbeb42c0537f3b76711b56a077dbc482bc911af

Observation 3ee8a3b8-d42d-46f1-a1ee-75842409179b · outbound

This paper cites Positioning and Sensing in.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Positioning and Sensing in

Reference 47

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no resolver link, observed 2026-08-01T22:34:49.815964Z

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source=arxiv_source observed=2026-08-01T22:34:49.815964Z digest=sha256:370523f84a145e0bcd7490dfaddbfec6b9bfafa670402931566e11c0ff996e1f

Observation 477327d1-e3c5-4bd2-806d-89809778eea7 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 48

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source=arxiv_source observed=2026-08-01T22:34:49.911063Z digest=sha256:6611a31c341830bd5e30a7b815999d474848bbb796b17e17784fa9e10cd31bcc

Observation 0a5a0444-abe8-4eb0-a285-14a63714478b · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 49

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source=arxiv_source observed=2026-08-01T22:34:49.972990Z digest=sha256:5d6e68cdef42c989384b9c672f4d2373bbb542f4f9bff38428c8769f09b7f9cf

Observation 91418b53-3526-46f0-b94b-81dc4c96af7e · outbound

This paper cites IEEE Transactions on Communications , year=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization IEEE Transactions on Communications , year=

Reference 50

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source=arxiv_source observed=2026-08-01T22:34:50.053707Z digest=sha256:ff85839fbd9668e9dd7e163ac2bff11e95282165fe36afc64598b92b71cd86b4

Observation b4c0e4c7-c84e-46be-944d-6903decdea7a · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 51

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source=arxiv_source observed=2026-08-01T22:34:50.174142Z digest=sha256:e989b76a2fd547a134976dd105d8ebcca4f94f0f7eee14e3a869bb4c5641d06b

Observation 63b41ce2-1efc-4d4d-8a95-af8c12043fcc · outbound

This paper cites 2023 , volume=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization 2023 , volume=

Reference 52

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no resolver link, observed 2026-08-01T22:34:50.280341Z

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source=arxiv_source observed=2026-08-01T22:34:50.280341Z digest=sha256:3da109fee2277d78104e03411f1b04dcacbd71c173a1c209c7fd5abb15c6ed9e

Observation 4cc0d2f8-a16c-400a-9ff2-346308267ba2 · outbound

This paper cites 2022 , volume=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization 2022 , volume=

Reference 53

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source=arxiv_source observed=2026-08-01T22:34:50.342818Z digest=sha256:a5a1d8ac3850d3f956938ae370e2dc47fa10e3f7d2966b98f3649b113fdbb336

Observation b1c00833-464c-4f43-ac9c-6d09a4d2b78d · outbound

This paper cites Enhancing Indoor Localization With Semi-Crowdsourced Fingerprinting and.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Enhancing Indoor Localization With Semi-Crowdsourced Fingerprinting and

Reference 54

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source=arxiv_source observed=2026-08-01T22:34:50.400672Z digest=sha256:434d17ea458d8824d54666b8d15b357aa2ff49f86dc859e6b956b849ef83b601

Observation f15da958-2522-4a81-a232-4c8820a286c2 · outbound

This paper cites 2024 , publisher=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization 2024 , publisher=

Reference 55

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source=arxiv_source observed=2026-08-01T22:34:50.465637Z digest=sha256:77dad0bc598a927e79250828e105ab904cd2dc4038247793ee2b4f3768447473

Observation c63bebba-4878-4a1e-a066-c65e77211b68 · outbound

This paper cites 2024 , volume=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization 2024 , volume=

Reference 56

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no resolver link, observed 2026-08-01T22:34:50.517903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:50.517903Z digest=sha256:54b1fecf1c2a47af3f6b8550ab52cdfb0bb66dcceb4e3ae096083b2cb83f1155

Observation 1d8d2f3a-7a51-4afc-83f5-480103058817 · outbound

This paper cites Self-Supervised and Invariant Representations for Wireless Localization , year=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Self-Supervised and Invariant Representations for Wireless Localization , year=

Reference 57

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source=arxiv_source observed=2026-08-01T22:34:50.569970Z digest=sha256:7050256098c47496b0650167163187dbce3f90c193267d3bfaa184bb71bb63da

Observation 33181806-f2e1-40da-a72e-5f628e1ef175 · outbound

This paper cites Signal-Guided Masked Autoencoder for Wireless Positioning With Limited Labeled Samples , year=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Signal-Guided Masked Autoencoder for Wireless Positioning With Limited Labeled Samples , year=

Reference 58

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T22:34:50.626203Z digest=sha256:61b590395b2722d94dc5962f4fd847dd400cc92b0e47df4497f506302ddef3f6

Observation 56184368-8c42-4a8c-b269-590d74f77d2c · outbound

This paper cites Radio Foundation Models: Pre-training Transformers for.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Radio Foundation Models: Pre-training Transformers for

Reference 59

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no resolver link, observed 2026-08-01T22:34:50.680506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:50.680506Z digest=sha256:92bf92080198824596ce3d6b0c96c7226cda6c6d6f1a4a3e252b987665558146

Observation b2c4e1ff-a4ea-44d7-9c66-6f4e9e29e8e2 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 60

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:50.733314Z digest=sha256:bfb66159ae023034b903e53a713ae4b1af4b785a378b67cb43761808985c8836

Observation 600d9ef1-d63b-4dbd-b2e5-e1bb35734942 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 61

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source=arxiv_source observed=2026-08-01T22:34:50.785407Z digest=sha256:f6305ad3ee0bb397742518625326c1e6c66574b592d82e05448621a28b67e22c

Observation 0677a8af-51f6-4fb5-b483-8e9b762946dd · outbound

This paper cites Large wireless model.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Large wireless model

Reference 62

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source=arxiv_source observed=2026-08-01T22:34:50.837073Z digest=sha256:0d808e874457adeb60c8788d056167f975ad0ce4069326da3d51d691928382c3

Observation 04512d36-517d-4ee3-9cd6-2357fb57cb68 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 63

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source=arxiv_source observed=2026-08-01T22:34:50.884684Z digest=sha256:d451ee21ee9684f224c9eb6f2b46bb2969a04515bde8c6e90af6aa7c8c17db78

Observation 27d35b7d-98c0-400e-bf3f-b0e180174d56 · outbound

This paper cites 2024 , publisher=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization 2024 , publisher=

Reference 64

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source=arxiv_source observed=2026-08-01T22:34:50.979079Z digest=sha256:8770da2c6fae7e021943b933a267c841691cf20588ceebed8cadcc765dc2609c

Observation aeeadbb1-513e-47a1-b6b5-cfd117dba9a9 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 65

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:51.043006Z digest=sha256:47bec430c9ef4d2fb40bcce27a855eba3239f138d015beb729deab5882a20287

Observation d9048b58-da88-4cc9-99fa-3d427ee6f6a4 · outbound

This paper cites 2006 , publisher=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization 2006 , publisher=

Reference 66

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:51.145319Z digest=sha256:9eb664576507c66d55e56d21c56d3d7a405c70b1206a23713ab542a76b76710a

Observation e5095fef-5eb1-4098-91f8-631414cfedb9 · outbound

This paper cites 2022 , publisher=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization 2022 , publisher=

Reference 67

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source=arxiv_source observed=2026-08-01T22:34:51.227773Z digest=sha256:1d0e6010a71182d48d6fdda518cf4a02bb2d08ddd5bc118dafa57bad219692d1

Observation a486c74f-1f88-4a1a-8b51-72adaa8ca1cd · outbound

This paper cites Coverage Analysis of Joint Localization and Communication in.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Coverage Analysis of Joint Localization and Communication in

Reference 68

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source=arxiv_source observed=2026-08-01T22:34:51.336879Z digest=sha256:6551ec9608e4c7d1a7f71a3642aaa0d9a6102d091e2314192f72a5c6dbc70ca3

Observation 1e7a72e8-80bc-4ea6-8882-45236e696082 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 69

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:51.433018Z digest=sha256:290bbffb756b1076fa732bca891710ae78e2ae3a949e007d2cff7bb53fe1b213

Observation 0acf11ff-1404-46bd-af9e-e3251e49462c · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 70

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:51.504436Z digest=sha256:02a3f2dc7a87305d0beb9f5e1ae8b9d17d905f36694563eb2af0d908830b4156

Observation 07d0b5d8-5388-4893-84b5-5bf3129efc40 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 71

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:51.602589Z digest=sha256:2649a71f4931af6477b8411562ce14779efb65f952a5d244103080528a2cea21

Observation 5dfb11c3-bb75-4b00-8f4a-869a8b38cccd · outbound

This paper cites IEEE Trans.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization IEEE Trans

Reference 72

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source=arxiv_source observed=2026-08-01T22:34:51.663989Z digest=sha256:57594aaa70fcb5e1b396091ebb560a53e62266305c2225525f945223789c3947

Observation e0d902e1-5945-410c-bf91-20ecab62859f · outbound

This paper cites Tensor decomposition based beamspace.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Tensor decomposition based beamspace

Reference 73

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:51.740040Z digest=sha256:d1ff0ec8ea92ab759eb8f21ac2562cc53a658a437f7fcb1508232686a367c7d8

Observation ef6db9d2-f2ac-4c5d-9885-acda5da8417f · outbound

This paper cites The Journal of Machine Learning Research , volume=.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization The Journal of Machine Learning Research , volume=

Reference 74

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:51.799533Z digest=sha256:79ae3ffdd32e5f90167f795747a1b97558e409186568acbae644262fe8511425

Observation 853a402e-fb77-4a5a-9082-d39cba4d8393 · outbound

This paper cites Beamspace Multidimensional.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Beamspace Multidimensional

Reference 75

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:51.884084Z digest=sha256:ed81ada609dc39bd362b42fc283590a2944abd6b1539a302d39f2200648c9e9d

Observation 5e6afa53-16ae-4741-85fb-5ff6ca195d41 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 76

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no resolver link, observed 2026-08-01T22:34:51.935526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:51.935526Z digest=sha256:07136fc3feb0a965d1a7ae56ff183fd52789e52d2c9053825f88d5c2c8ffdefd

Observation 3f314b70-effa-412d-85f1-366d38e21c5b · outbound

This paper cites Localization error bounds for.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Localization error bounds for

Reference 77

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no resolver link, observed 2026-08-01T22:34:52.023805Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:52.023805Z digest=sha256:d3a7ed873fe12b7e425b7f104ad4cc0b659c72ece9ed3abb08d6dd7d0802fd88

Observation 1e452b62-ad4f-4672-9a71-8b72866e1cfc · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 78

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:52.111100Z digest=sha256:894cb6d63710bbe2d3c805b031c5c6ead08490986e0fa5ea3c1c3014106fd34a

Observation 0e033362-2dc6-41bc-a8a3-b894294239b0 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 79

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source=arxiv_source observed=2026-08-01T22:34:52.130089Z digest=sha256:12cbe2c5bb99a56d1a2c80517efda62935aea7641c5ac9ec2b821747c8799bfb

Observation d8bfb491-7503-4769-8700-b51c6d3e4971 · outbound

This paper cites Joint compensation of transmitter and receiver impairments in.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Joint compensation of transmitter and receiver impairments in

Reference 80

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source=arxiv_source observed=2026-08-01T22:34:52.132860Z digest=sha256:35cc8ea0ad84b592936355aa3bfc9316d3f1b069bfe379d972d28ad7d328f2dd

Observation 36e57a27-cfe5-4ea2-852b-ff13b9680e7f · outbound

This paper cites and Conti, Andrea and Win, Moe Z.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization and Conti, Andrea and Win, Moe Z

Reference 81

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source=arxiv_source observed=2026-08-01T22:34:52.135122Z digest=sha256:0e69db11ee530b5dcd7a7c6316cb63985ffde15c3d52694801950c47adc49d83

Observation 0e02d021-744e-4821-b3fb-52e708802919 · outbound

This paper cites Blind frequency synchronization in.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Blind frequency synchronization in

Reference 82

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source=arxiv_source observed=2026-08-01T22:34:52.246221Z digest=sha256:73196b77193a953522fb354e02ac855938e8065de83acc75de4b84ca7026fb67

Observation 3d7124c2-cf94-4401-8ad8-aa8e387e39cc · outbound

This paper cites Joint estimation of channel response, frequency offset, and phase noise in.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Joint estimation of channel response, frequency offset, and phase noise in

Reference 83

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source=arxiv_source observed=2026-08-01T22:34:52.392234Z digest=sha256:9bd12100e1f4ea12234428e82ea78376440bd0dd7520d7093dd5a7e16c33f27f

Observation e4dda244-b1a3-4c96-91a4-c91aea20b8cb · outbound

This paper cites and Mehrpouyan, Hani and Xiang, Wei and Durrani, Salman and Kennedy, Rodney A.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization and Mehrpouyan, Hani and Xiang, Wei and Durrani, Salman and Kennedy, Rodney A

Reference 84

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source=arxiv_source observed=2026-08-01T22:34:52.549878Z digest=sha256:f3f25ede4ffb7fe68284b8e90917d90d6733cb81ac16ab80e27d7b887dcd388a

Observation a9e0a1a9-a4f4-4554-8f20-f42214492112 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 85

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source=arxiv_source observed=2026-08-01T22:34:52.707552Z digest=sha256:66ce30ee5eec71104d595c1085d17227350a8c443dc28490b78a8538103b01f0

Observation eff730bf-3d8f-48a5-818b-8c4b7216c9f5 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 86

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source=arxiv_source observed=2026-08-01T22:34:52.828886Z digest=sha256:b7f6b06e4125056269f5e3f6f22626cf49483e6a17d50cd38c314d663250b9a1

Observation 5a6b9015-c556-471e-839f-690aac9892be · outbound

This paper cites Reconfigurable intelligent surfaces for localization:.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Reconfigurable intelligent surfaces for localization:

Reference 87

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source=arxiv_source observed=2026-08-01T22:34:52.956700Z digest=sha256:b106524f228b2c81c66824ea98299ef47d942992abfe5ff8c647c07ab5a5dbd0

Observation c6b816ae-c66f-42ca-bdb0-d26c54fb5c13 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 88

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source=arxiv_source observed=2026-08-01T22:34:53.123426Z digest=sha256:542182be7ad6d6465fbbe175e99197e0e1b6fb1c441684243e8893f76db47a13

Observation a54981dd-9095-4f9e-bfed-473c2953aaa3 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 89

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source=arxiv_source observed=2026-08-01T22:34:53.303126Z digest=sha256:cf7979536a74ed88c4d5207a3f6e9ef385172ab425b7d86def94dff2bb01fc46

Observation e80a529d-200a-4d0c-bbb5-fd7ba89c8c04 · outbound

This paper cites Performance bounds for parameter estimation under misspecified models:.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Performance bounds for parameter estimation under misspecified models:

Reference 90

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source=arxiv_source observed=2026-08-01T22:34:53.527349Z digest=sha256:4298492e27e9430ed0009e4b5e5a68f94416335eede03bc727292f6597c140c5

Observation 82c3b448-4ef7-4016-ba0c-4687ede58bb5 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 91

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source=arxiv_source observed=2026-08-01T22:34:53.697694Z digest=sha256:191811dbec2cb94db61b316db5666be92385286aed8ef27e72c02202f17addcb

Observation df5efa69-0acd-4951-9a1f-a08a33197eb7 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 92

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source=arxiv_source observed=2026-08-01T22:34:53.825315Z digest=sha256:ff4ca28ad0a75f6109fdbadf358a1671986d32608ef5586dd6bab65b8a966593

Observation 7bbf4195-7e57-4be9-9dc0-cefaca0424d8 · outbound

This paper cites An overview on integrated localization and communication towards.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization An overview on integrated localization and communication towards

Reference 93

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source=arxiv_source observed=2026-08-01T22:34:53.827711Z digest=sha256:4c260b4a013ff2d0bbb650192d97e6996498c4bf36d1599011914e618f152edf

Observation cd12e098-b07b-41d1-b87e-df005f76dac8 · outbound

This paper cites An Extended.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization An Extended

Reference 94

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source=arxiv_source observed=2026-08-01T22:34:53.834061Z digest=sha256:4a39cfc9fe7d87e7ecc2963555aaf30d1531c6eaa9a69135929e13c6ee585ebe

Observation 0ac2f5d9-edbe-4cca-85c1-0cc04c89d04d · outbound

This paper cites On the safe road toward autonomous driving:.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization On the safe road toward autonomous driving:

Reference 95

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source=arxiv_source observed=2026-08-01T22:34:53.980072Z digest=sha256:c066ea4e136b0eef9d232a0212f035bc96374429c7987b7a4cce8f77f69ee482

Observation cffd2706-df49-4e71-b581-6c209fde1cc6 · outbound

This paper cites Location-aware communications for.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Location-aware communications for

Reference 96

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source=arxiv_source observed=2026-08-01T22:34:54.063642Z digest=sha256:d267b24dab5aee8496ad675e9339d03f753204453a869bef416e82f68542278b

Observation d8962966-d990-4fdb-a967-943a5992fcf8 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 97

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source=arxiv_source observed=2026-08-01T22:34:54.180178Z digest=sha256:3d36641ec6a81a30ce4d6b41885e6d0f52cf8ff3488013b223e0b0077bd7fa83

Observation 84064ab4-a282-46a0-86fb-db50ab5d1172 · outbound

This paper cites Beyond massive.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Beyond massive

Reference 98

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source=arxiv_source observed=2026-08-01T22:34:54.242498Z digest=sha256:0871ba37a04099fb2516fa4f5ea8b99972938322d56bdf365ab266d6c9c2b6c2

Observation 3650b826-0b00-4390-aa57-b3b4f29774af · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 99

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source=arxiv_source observed=2026-08-01T22:34:54.332196Z digest=sha256:e5f44620b3bd979246e493f1fcc3066f1ba0a111f916f4d2a113e33d6690a9d6

Observation 80c3cdcf-adb3-4e32-9f79-2037d2fd5d37 · outbound

This paper cites an unresolved cited work.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Unresolved cited work

Reference 100

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source=arxiv_source observed=2026-08-01T22:34:54.404248Z digest=sha256:b220bba6091cc2d03ee647698bf03395462c8b92e7a869c59d0ac7a91e636eb8

Pith citing papers

No inbound Pith citation observations are available.