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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 21 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 2026-08-21T06:32:19.484+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=sha256:6b753a007d5f2c610962273dba9c7eff2af1d1387ae356994a8d5c0abd6f7306

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=sha256:6e2406a309b4e4eb7949fbeb23bc500125bf16b25c5550c032df0f002135d1d7

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=sha256:0171213484a5fee774ed0e1cad6ede56e4db1494368528fb557de1467e069d29

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:d020a45a5aeb89329f74cd9402aaee857fce81f5d10e159f0f5dbbe8a23549aa

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:cbcb524e74c9f88f6e15b637dc3708c9951c3d92a8af5d940dcdc988837dd3d1

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T22:34:46.244366Z digest=sha256:0de5429518b9c01945846d1c3b978accc18bb3a73f1677c44615bfa69205a388

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=sha256:807f9850c1123433495a63dc96c568f6df7a946397a72cc8168e9c631b76f0b0

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:fd92ecbab481c8bd70fc96696ec130101a796c334dff8c7bc1623a073ad167ac

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=sha256:2cf5687e65d8656b4533a31e32b3a35043374c4dca535aff2f33f51db21e1b6d

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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source=arxiv_source observed=2026-08-01T22:34:46.568248Z digest=sha256:df3aa9032ccf79e0a0e7427e8ce5a92a198b9d882c251d779a715ec1f2a90336

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=sha256:5910bd127e58ff1631f6f25955b8115bd21e4387b528dc4433567522988b1dcc

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:fb3c1fc5d00dc8f7b0fd2b0bd7d2c3c369e45c760afb443659cc385dff0843db

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=sha256:008c73df71fb853da078a30c4e50f4af064e046f928e8666fb1ddbce92597506

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=sha256:3edf7eef455502deaf97e97b9a1ee806111f985f5387247a970fed052cbadb2e

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:ed4433d68b68778808feb138949eb4fe41936068d7f67ab359b8b1815c2dcab6

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=sha256:08286bcbc0bd23c35a1eb1d31524eeb82ae692aa27cbde65e94eae6aafec1802

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=sha256:80b48014cb559b7f798a6f63afa8a0363da0443d2ed3a32450e1913099cd846c

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:c42acc604bd0066426ae5807478953eaa4c12be1288de35c1db8a46b392cf4aa

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:b9ca709805aabb7afcd45b52f39c551161ee5bc65bcdf289aa9e811893db3ebc

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:c3d42c83f4e9fba4beee3ad01a6b7536e3d18573a531c67b7f31186ca3f00a3a

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:d77d72badc576699fe9184aad781b571b2ab6d46135408312cc9fa0f7b1dca8b

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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source=arxiv_source observed=2026-08-01T22:34:47.562138Z digest=sha256:f4b804f1d71d0d87f4d24007505a4188291672215e69f3fc8885075f4e31bd97

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:f3deb2d6f33d584a0e3e653237b5499f8bec5f85fe19267a47fee3d004275767

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:b07791f7f274f5300b842756701298598ba84327a2b5a65499da838d83c9d2bf

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:e7923ec270fa55dfeb465b14d04b156f9d03ab8105e2d5c3300ed319837279a8

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=sha256:60c53c3a1051a22af5f87c0a1b10f6a1e2c333fe56fc50f5b8b4b3f06699c580

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:d5d8fa1187d6527e336b5ec81f8afe11105e5d26b03609876e589190fee2adde

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=sha256:8417b2177ddb598b33c90344c5fdcd5ce84cffcf6a25c068130ecc29dad663fb

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=sha256:63ae2ea5d7b6a3c401781686c2ce67c05daf0b2ac0805540c42fb4c6dd3e2169

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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source=arxiv_source observed=2026-08-01T22:34:48.290258Z digest=sha256:5dda821f27e146f21730057cb9bcc4dca5ceae2cd476d7da74bb684fb2326645

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:d244cb5491393a02d2e08ee5b14ef4cdd2b120171a7d437d8c1c587639c17bb9

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=sha256:8718f292d00f118ca4ad17ae03a1e2bd16e5ec2f550ff21befe7e3b53ef37fad

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=sha256:64ee85c7b6ab2e66e215ceb9e4e2516c1802786951cffc5a8788c063cb87a92a

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:dc85eec350c8647644dd139318918eb5b2682ad61953db3b8d47d4d5dca58fbc

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:c3d5331e123354c4bb575622e3a902fd3f122be9238b0a01eadddb82ffe81ff0

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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no resolver link, observed 2026-08-01T22:34:48.824770Z

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source=arxiv_source observed=2026-08-01T22:34:48.824770Z digest=sha256:fc2ddf3f0d3a9f69c304d2761c5977795e3ca4df08f3e4f318d557c2cee5bea3

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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source=arxiv_source observed=2026-08-01T22:34:48.946739Z digest=sha256:6703603e00f62451127116216570c569657d1e3e02b425879bf20a14b429e5c4

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=sha256:33dc1e2a83198c8ab97f15bdedfb7dde53f0f5078098f471272ff621fe300a97

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:b010bfa23a9bb62be8b4d7f97879ec4c01333eb1d29d22822998198a4b1cd52e

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:aed2fcfadcdce6009778812558cff86cb1dc80505ccd84f3b2af765fbdba6723

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:b7b2eaa8a92f9f635c5d3f05e9c8757f4a742a2b9d90c9171ed7783ab64860b0

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=sha256:054696b3f2a391e653dd1b246827e943c362ce55481c7b43034593aa8580c2f3

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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source=arxiv_source observed=2026-08-01T22:34:49.383924Z digest=sha256:a2860ce396dd1cfaccb632dffc434ebfd6b6ec704f28cf7791074b4f1aebf2ee

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=sha256:37c13492f5df0798193da745cefef2fcdbb9596036d60e5d95312713e92340dd

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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source=arxiv_source observed=2026-08-01T22:34:49.565015Z digest=sha256:8a1d3bea68d9580c43a8b962136f37c85fdedb55496e5180321ffac70b7fa993

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:e114bb6ce97bdcbcf24afcc3e001fce340e44a8e60570c565e2e1a122af4b5bf

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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source=arxiv_source observed=2026-08-01T22:34:49.815964Z digest=sha256:fe9aec84cf543e39ec094cacf7dfdf215dccc62b2bfb88551436d38f94548ca2

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=sha256:4c454119bbb1a88a700f97f75b6895fd3aa54c9e68a3051c9c1fc52421d00438

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:fdb2feac374736e2fdbf5978e04e73549593e1b918c9fa1d98d695d3321d210a

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:d2cf3032f6dbc864e79161aa2e448c3fc0664e049ee07caae6b9d7aaec40bdd9

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=sha256:9fd03af4d2544503d5468563f06c6d9e524ea528324615a12c9327067238f2c7

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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source=arxiv_source observed=2026-08-01T22:34:50.280341Z digest=sha256:eb2a8b3985a7c6ab8438c28eedcf3f1b00fa59ed86ade44c67a44e66e5b3b2c5

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=sha256:31246ed2f9ff17b6a97ea39a6891dd68cb3cc65cb897b9799999a629b50396f5

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:efdd01e67e5cc36836ff731243bfdec2a823455f2cfaa87880bfb8c3b4a3a398

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=sha256:0c535857769d95d2d63ac4803e79ee65767784607591cb8554a89f1709fb11ac

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:50.517903Z digest=sha256:7f8bed6f70ff35209e42f615e605ffeb7a38092a0c1f2f51e01d70db46cb45c5

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=sha256:8f04a77d2d2c33363d879780fb876027c8e78b970e2054f5ff6f8d5f5b9acd90

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=arxiv_source observed=2026-08-01T22:34:50.626203Z digest=sha256:9d7b7248fda5e835885bddebaec623f80e66753b3ae7702661bbb0f4203453dd

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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source=arxiv_source observed=2026-08-01T22:34:50.680506Z digest=sha256:bb9245fcbff0360e85911c1862ab179464d0b1b6287ee4b8b017f41e31f527b8

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:50.733314Z digest=sha256:237fdab183aebf8f2c440cf4b04830d378ebad33bd4b166dfc4a0e3b0d57492f

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=sha256:73a679b0e0c7cd9e23b4e7cf8b4f9bc4362e07a8dfa0cb7f5e947dfcb6d93ab6

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:c8c1464674b07ad58305d85bdf11d2980f4cb4aec119caf14a7c500f5da47b8d

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=sha256:050f82d78b07d8d95605c09801ca18e40a7549045f7828988ffdac8eaf463429

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=sha256:6a44060601d85040766bc395108bb84f0fef5c8a1ceae74ffb99b368a94fd1d9

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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source=arxiv_source observed=2026-08-01T22:34:51.043006Z digest=sha256:37e7b9161c90bbea54ff412d2ebe24a9b91b272afb3f32d16afa2a2ca5026171

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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source=arxiv_source observed=2026-08-01T22:34:51.145319Z digest=sha256:a0afadba352529868e063ae0d0e940044b1eb620928cf55484e6604b1fa8e092

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=sha256:39235a4b841212cb35f7ae8a469ee7afe301d0237b7b8ae9d05c0f777ed4ec3f

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=sha256:4b1974fe085cf7466eac309dbe44b6f55b72ea7dcc9c3e4c88bfd86c56284483

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=sha256:4efe94667dcbe002f9b4ce9b18ae25ba18aa7bbdc7eae00a713438a9b1cd3126

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=sha256:2dddc97cb8b54727cf3ec498f6a86192334e4c4305fc663622522272eef2fc67

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:de7c3a427110f471c003e11a6f328a6f8ed00d22e426184f81601f2ee15bb761

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=sha256:4be3f3554b6fb236ad17aba2593df89cbae4dc5e926d5ffe90e13dfa17de5acd

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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source=arxiv_source observed=2026-08-01T22:34:51.740040Z digest=sha256:64c2aae02f33fa4871fabcaf02000300174e587cabe8723c0abb9d3d80658fd2

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:51.799533Z digest=sha256:0242593fe36f11106fa699d0127db7aced24da9be75f698a8ef60b2a50434ee2

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=sha256:7587d61d252918e9a7e7b4a5a8c390ad86a80eb0d201ebff5f32bb018d29c729

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:51.935526Z digest=sha256:7f627fcf98da08d32b7403343e20f908075cde6a08a52ed6ce3a09c0ac8ea8fb

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=sha256:5bdbdcf3abf1cbada923752687dcd33518952c28d7836bb9eb582daae38e1c74

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=arxiv_source observed=2026-08-01T22:34:52.111100Z digest=sha256:6f7d0f2307c5bc18c45973dfad0ef1f5377e93abcdf9dec7127b360ced73d9d4

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:b7665860f2aaefba110747ecf7df32204cc179dcc9a1dac744caa1ed34ee67dd

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=sha256:69d57a014aca0ad2814cb7c30418722e18a102ae837ad48a3a7544042e3daf2a

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=sha256:246732681bc36bfbe8cdc14d3a63fad07069fb2451434f5f094dfd2e264da399

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=sha256:6b8dc0e67f8e981a2ecb591cbcbeafae613a34f7c22456bec2f6a22f02bc3bf1

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=sha256:2642077bfb864e9af33237c16989525fb4dc642a5e867da05ac36bf9cd872fad

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:ab24c66127487c44178d38903a7f1cefe674dbc8f9a55d1778333109f6f92d6f

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:a3ee3b278801d15258f9217ba8774f01202343d1d5ba5c0be1cdb10040a711b1

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:f559aec3c88c6f928c9bfbf860aa7da9b45a09b8c50ecaecd06559f51ed55c18

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=sha256:92b1793ed1c1b690fe2f33a386239d6967498db88b40472ff708f6f7f75308d8

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:b8cac0a90a8e4e13b7dbe46f21d9fe5b672c044e419d24c25d6dd05663ad6af7

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:f2922714e322bda010a7eb25f60b10c0a4dd7fff31c73ca32527d24f68aef4f0

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:becd2e718a445d014bfbc7015967e199c38b5b8e9939ab7d215cde52efc84c60

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=sha256:921b16b49366e5c9fb1132d5dd2e961b626b3b5cec0987a8c82b9b4fb0c7cc62

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=sha256:6860215ccbb5cd82d8415ac77b484a8cd76c3cb025ee131e2d1b874d2f511f4b

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=sha256:7d14ecb13a492f86d2dffa6c9c7fce160bf16ee76f8233aa3f327c8d081b3f44

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:fa4ceb7caa782d316503daef685c3edb33e15afabf1fc39a3bd83b34e61ba8c2

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:f57f1935e99dbe49f5733a73ec50cfeae860092f5a7210130fbda2e5e1629249

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=sha256:909fdb87c2f30a8f6e17ca429b06429297260cfcfafaf23953fa8de27374a71d

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=sha256:24b5f70664fe93ff10a8f77bb2bc166f1ea011f86a318a18a4b5baa9a9df4272

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=sha256:3e7d75f980ee24a0a829fa0971392ddb2b3f09e8ed97187f05627f28bc85a607

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=sha256:3efc2a5c37a4092dc2c9af3f0852e4ca49d1184c5b39a077fd35aeae31466c31

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=sha256:055149b03686ce1345d3d929da9a2a2f67a2e2db77e427998a46e06efcfa8f2e

Pith citing papers

No inbound Pith citation observations are available.