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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 9 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:ac9c9772e93693bcfd2889645caecc881ddc726d28970726d0823636c1839ece

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:d23873f7b236a7a12685c03499cd987d136f78f79ebb1e7704ea35e72a00911d

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=sha256:8fdd8412094f87e8395f5c14090b19672b22697ecf533e6e98c7f820ec92afa4

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=sha256:0a3fa56e741676a050cd7f30bbe1a40aaf3a390bfd01e529bdd7be0adf677368

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:46.149681Z digest=sha256:cfbc2cc33da84c0955d46572c46827528e70ab579102bec6d48c185375d9958b

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

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source=arxiv_source observed=2026-08-01T22:34:46.244366Z digest=sha256:c5d28a47c70f60b405dab07d46931b7217080cac494cc040c2963373cb5c9559

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:d641c70480fd0806e45aa86c48e89f7f67d6dd390e45bef85be4e873fa38e4c9

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:bb559ad589ac021e94eeed53ee96a946a6c589290a4c59fceb9eb9bd4f6db473

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=sha256:3f8f4a33e141c680da86a31e4e79a4b138b68753092aca877df94184310b4c48

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:ed35b2193ce31534b2aa495d89c5b72677316769aeed79f6c185be5a60eda205

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:c660b59d58492c04627fbe02a1af5543b6baba264484788276ff6085c1ef0071

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=sha256:41efcb1631f8b10a92db1a0846312351b2558e533cd4429169ec662a70b87c5e

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=sha256:283ccea6fdf63dd2f3a59456b8156b0b988afd3733d49907c91e8d5ee7d3fff9

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:b64f0638012f6b80cb2c68680c6cc4235752bcf18f5f267488f5c2a7ff0d4ebe

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:a6b98e4cc432f3b3830632d12a249c3460bcd4f0ef9d1002d93e2199a4f08418

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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source=arxiv_source observed=2026-08-01T22:34:47.076894Z digest=sha256:3032c19a85aee4ab2a0480afa468de4c0f362acf35ced3e0df0c57d0d0f3dbd9

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:d0b091ea51db4a49d1bafc8db4f724ee2975110790f045bbde711be4d6cba855

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=sha256:9550ad155c8a17918da864fb48b49fc7c661d87dfa3921c99f69088acd7074a2

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=sha256:4e2b14e68d019ea330a6b3afd481d1e126a682211655b23daa3ca439f6cb6cf5

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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no resolver link, observed 2026-08-01T22:34:47.418819Z

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source=arxiv_source observed=2026-08-01T22:34:47.418819Z digest=sha256:111eaa0769dbab4b152510e31cfdfa6bf92384c6b4954d871464a9203323daad

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=sha256:7e9c222e17e530445a66111e202a6a50b579efdb76e894628df1ca67405ac74b

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:c2da50b7b0f3f2cda9ebb4fd0782a449405fa4a841a9c5154d118d312957b578

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=sha256:030ef891d57e86b58d8edd651edc3717cb351305897b4967747db2ac3dc871fa

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=sha256:93763e6a38eb189839928963c70f04e45ef2a6f3b36a785f020ae1a8c1a04f10

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=sha256:5781a0cdfb09afe529552a33bc3d5ae0b25ad1867270083ae15f7a1b790f332c

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:bdc3650a3ec6f0273c4073cabe8829f1039830f896087f1f1e1443c69bf0ce9b

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=sha256:7545bab6b52ca72572abd092f7ac78df4cea83e4c77a812fd10e1d341fc52fb3

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:e41ce84ea7d4073edc0a69d2b270d3930835d76d93fa59952ec6b8dd83f9f384

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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source=arxiv_source observed=2026-08-01T22:34:48.182040Z digest=sha256:863b02475285aed69db1345f4958f3537e00fef0e9950e116d13776c9c162290

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=sha256:23827f4547bc9284916f7891ac74745fbc07cf271e12f37504f58fb2015110a4

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=sha256:3734b270349891557d93623dfa5842a16e155f2e0e21d06993b69b84a0e20611

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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no resolver link, observed 2026-08-01T22:34:48.431003Z

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source=arxiv_source observed=2026-08-01T22:34:48.431003Z digest=sha256:04f5dc9620b73fa041bfb89376082668cdff48c668f1b567635d97a3e6013a91

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:ac8360e014dfe451b23a74e31a80a16180464a1c3501bdf2a7996a507c86f3d5

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:a881ff1fdd99c1359f1c9196d690840fa3700b176a5d08304d79653de3b21fba

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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source=arxiv_source observed=2026-08-01T22:34:48.721994Z digest=sha256:d47deac7ee2b04a501230c00f28d2d220b5ff1f551f23ab2522571e41b0f6a4f

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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source=arxiv_source observed=2026-08-01T22:34:48.824770Z digest=sha256:d81b7c5905a2495d0fcbb26c543966ec927842bd22ca7afe0ff1039c2710ac6c

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=sha256:5c01b5ba46113139b1cd16f3e63e5d035cb5827edf37683085a8b84160fbca8a

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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no resolver link, observed 2026-08-01T22:34:49.022861Z

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source=arxiv_source observed=2026-08-01T22:34:49.022861Z digest=sha256:a0cd9c5b651e75245fe1df2b2c539b6ebccf1005435d517e6e3b68e5b9259828

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=sha256:0ff554018cc88ba7b658c641d3e46f7a15c82fd80e00d68eb1fc2d9d9f6f3ec9

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=sha256:83d8977cb944e4fbc12c2f16444dbb062a839d217f127ecfd36115417f2d3170

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=sha256:3fabeeaf58cf2549218cdcefc44599794c2a5922284f3e9b6e37779e3ce09062

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:e8bf92fc0df4a018f11f8112c825d8c150a631065f8cd6752620d79d07ae403c

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:c013bab9fd2fd6e8cf2ba081e291c4b1d271e7303700d7f1b5a5702cafbc3672

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=sha256:43c58a5202fce20de122f7de73eb3f13cac762e15d85f589bac82753f0c24b31

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:49.565015Z digest=sha256:9c7982c4d51c10dca562e2834590f723c8d7d20865c5bffeccdbee88557cb74a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:49.685887Z digest=sha256:d4dbe48c4a8ec1387d29dd9d4d8fc268362fd955668af5ec855d4fbc5d92e03d

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:49.815964Z digest=sha256:146a42ce0552804f5f202e9dd9943a99375d08a56d28979d68a47c24b8b5c8b0

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:49.911063Z digest=sha256:8422c91a16d6367607c57a3ab4e0c40921d7a9cbd2b16a0cb485f8a6c9cd1be4

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:d1f24bdf554bf0f90c31b29b6d37d43eee76f3e6a34a5c679f1e31fda537fbdd

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:a4fc8577cf837da94f96bb731f50ffd600b30ef0d4c2ec8f28c30e327965c1b6

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:ca2ef0772f34480d5613b1ed926ef2df188b0c274dfc3a2f43b0c7dd987fdc22

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:50.280341Z digest=sha256:84138057fbcc03f4b578cb6abc29008b3310276ab46e9713c4d998ecdde619b8

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:50.342818Z digest=sha256:537c6cb1224890c2ea7a6da316eb384d1a73b852bf1de80140eadef82ea9fd83

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:50.400672Z digest=sha256:bfc669b384eda6014a5b89a2711a2fe1985d739de94f39fd56f913283c4c4e5a

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:50.465637Z digest=sha256:cf17bd608031f54d77d44042cda1a8ff63395380f68ac2646294186a500e1f95

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:50.517903Z digest=sha256:b69c65fce011375bbfe09788365c3d96672e064b69ee3228b59241c535ff2946

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:de10481f813758cd14acc35b078336e1b295be0f94ad5ebc535f55055da5b3a3

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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no resolver link, observed 2026-08-01T22:34:50.626203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:50.626203Z digest=sha256:e667f840f8ec786e3812807a73c453c0d1606fb93cedfffacd33edfd39218022

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=sha256:1ef0c4446c95b985420c29669c0550682053db0bfd791a49d4e14dc5faf8be1f

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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no resolver link, observed 2026-08-01T22:34:50.733314Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:50.733314Z digest=sha256:6e3a6970cea7f1b04ce2d97c886b37dcae73bb7e483764edc50025108411df6a

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:50.785407Z digest=sha256:e789ef23b6967be1807f2e2a1113f1d3ce3b4ac203ba83fa1aace22b740506f0

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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no resolver link, observed 2026-08-01T22:34:50.837073Z

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source=arxiv_source observed=2026-08-01T22:34:50.837073Z digest=sha256:02cbb5c2bd7a71d0e452eff281a6bc8642e4a4047e10698c473bb20f05e632b2

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:50.884684Z digest=sha256:01b4d911a6664593585c895af93a3610f55d5f56bf8c92c9725877c2fc4944c2

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:ee8b26eabc27edaab5163ef7e87fbaacca104a8811bebb6972bba1491e98b5da

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:aff4e109127cb66628fc4a73962a0a9c7c5c686a6bdad8264ff75162aea8aa41

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=sha256:19ff7b3f118f93cdd9520f2f74cd56ec86cea2ec2bc1fdf0a6f7d1014228f54f

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:51.227773Z digest=sha256:a234507feb30b7f8c70c74e5c4b9542a918419cc0e93d5a4204d75f8e612d3e2

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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no resolver link, observed 2026-08-01T22:34:51.336879Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:51.336879Z digest=sha256:a0b610b59ac21e6017bc87617f5c8f6161dca71f135e249edfc57f241d8c75b6

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:51.433018Z digest=sha256:095a1a72a2d662fb1b655d8b17f5bd5b9f5e2f3703d3528d6f118be7a97d01e2

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:51.504436Z digest=sha256:704ae433113ac84217d47e34b808edece7013eced68acd8d3b447b5271d1f6d5

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:51.602589Z digest=sha256:05263f891b477877615fa72c6662572b32b4fbb526a7a0ae44052813c1555609

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:51.663989Z digest=sha256:699d67dce63ae3f9104c9f64d00723302aea863310816bca5baa25a8b30bdd9a

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:e601156117124200794e2a5555619ec7f4159607a646b72f136212c45b631534

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:ba17b6daf68885c7a4fa5869beebac1bf4cf8dc47e9a23257ca9f80ab566ff1b

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:51.884084Z digest=sha256:f775f397b5811b986aad76decd3f0eaf0d1619295220b1d3f920889c96c9b183

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=sha256:5970af40f7acb1e841db5f7187b0628f5dbe3a910ee52545ee46b16171e93ac5

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:52.023805Z digest=sha256:4e048c7e3287ca433c7112f96566b9dd70f53f9f4a37b06af5e4aa39996e2157

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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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T22:34:52.111100Z digest=sha256:765b3730de22652e9ae85997477cfa640bf677c0679c8b888c135a1370199307

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:e6b81aeea9c70e7eb9a1ba6a531da65d02a6f61a87bdc08f8432ea3d6eedb835

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:cfccea9ab83bd618b92da8bf4ba86702db4dd823d33823ba311fb72619df544a

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:baf039b32538293e8cbeb057f7ba96411ff4452567af566a615a2a045c5372e8

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=sha256:41f77241669ba274bc57f190a4fb1f325997162848ba99e4fe15f2fec46a36ff

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:f8dbfb685320754e5d816537a19c0e492d8145c2c420a5a86409265b7821f2ed

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:e3c623de90ba2204ae40564a73c393297b9cbf7f358ca36923b776d0482c1f25

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:bcd4227854b2cc8626055617e019f88cf333b148b3d939f5755f0c5b4f9b45af

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:c646e2d47ce17bc13647d75b450fe5e7386aeabcf4fc297e8464fef4bdaa4e2b

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=sha256:2e014b315da9fb96298443ecbcbd9e86a0ee164391761eb35105ddc8f73055da

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=sha256:26e01388729bf5cd2d543b6d45ece5fce0246f909e38220e81d71bc7a67cd9bb

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=sha256:1d3022571d6d64b11ed3ec6a89fee27700660e3515f588f4e8b0272dac9cf0d0

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:f7a85e70202fdb3bf01e2529ed1cb1e948b2a00e4d12e92fb0a91261bea8e96e

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:ae2c30cfe3dc29650cbd03c73f2a013efdaf13785d61558a9adb840c9d964894

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:c0880e31a51afbd9d94bbb81b311ba6d01d5addef5ce377155241f47a185e2b9

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:bdde145ea037a9ffd463db6ccd5abc00838dc0ab1253cc643649114413e456ee

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=sha256:5cc3e5467887b7f70517566fa802cd3064e6f6bb54b9e8377e61bbdcaae58180

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:c2b9748225c4a0e68f13b0d2cecac31f6ccfe8d8537b1295b96fa6ad77dea96c

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=sha256:83250ea9fdd764b72759023754a3e073cfff928c631a7073998e42297727526b

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=sha256:3298d392d1f4452539a938629e0908cb2568a5cfc44c53c8ec3339d1c65b0d2f

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:e4c9e60889be0bbb93591e72052f17ddd82f1276e6d55cfb665d022ea1383d85

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=sha256:366bcbbd8a4fb54132ebec027cd66802c0b9e293311cffe05c5d99f67a8a4627

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:c07cdb60182e09e829da00ec63a1984326620ff1a6c1bda870ba0fb2173681e8

Pith citing papers

No inbound Pith citation observations are available.