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Paper Citation Record · LEDGER

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting

As of 16 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.03480.

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

pith.paper-citation-record.v1
2607.03480 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T02:12:36.752296Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

26 of 26 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2a4cc8a0-f2e6-4dc1-9689-050b3ccd3620 · outbound

This paper cites Wireless channel charting: Theory, practice, and applications,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Wireless channel charting: Theory, practice, and applications,

Reference 1

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:3d94178664d4be67bf8f0222eba1a4f802b4cd31bdc4675e64bbb0ab9b340e37

Observation 9a3ea948-6b5c-4689-a496-5ba0dfefb242 · outbound

This paper cites Channel charting: Locating users within the radio environment using channel state information,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Channel charting: Locating users within the radio environment using channel state information,

Reference 2

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:d37557ba19dbf99899e0bdefc6d61b96172b78817331b6a49c748dd175477bdd

Observation a8d7d5a8-eb0e-4877-ba42-eb50d8b02481 · outbound

This paper cites an unresolved cited work.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Unresolved cited work

Reference 3

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:82cb1f0e99797fbcd35ee3e7ed5b4f817c478132f76ba31420980420a0e88a38

Observation 1d5fe2cb-f801-4708-a557-4d61a1ee044f · outbound

This paper cites Hansen,Laplacians of cellular sheaves: Theory and applications, Ph.D.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Hansen,Laplacians of cellular sheaves: Theory and applications, Ph.D

Reference 4

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:6826c42e0cf0d3a7620f203fa06e050274feba98ea79d15a6a675dd791a7111b

Observation bb2c1497-92c7-47df-a89f-af494117e1c6 · outbound

This paper cites Multipoint channel charting for wireless networks,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Multipoint channel charting for wireless networks,

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:750b04d6e82b5a94a942e395abf9a34de982a2bf58b8109ac0ec43614bc10074

Observation 9020ee0f-26cb-44ee-9f44-bda2ef65b572 · outbound

This paper cites Federated learning for multipoint channel charting,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Federated learning for multipoint channel charting,

Reference 6

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:0b560b1ee10ee6bf7e6133c08a7f465992a6729193e82fdc3c06a3ab1c4b00de

Observation eb6f273d-999c-4eb5-9a74-f14f729d9467 · outbound

This paper cites Multi-site wireless channel charting through latent space alignment,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Multi-site wireless channel charting through latent space alignment,

Reference 7

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:16acc6baca1c57f12710f3e44b45b232699bc1dfed4e89216d75efc3e7a0569e

Observation 89b47f3c-f50f-4abf-a611-4e662ad99dea · outbound

This paper cites Distributed optimization with sheaf homolog- ical constraints,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Distributed optimization with sheaf homolog- ical constraints,

Reference 8

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:0fe52a4f7e984761a3fef1b01802c9a1521ff2022f360690d28a40042cd00a08

Observation 8bdd248a-eb68-4035-993c-25ade67cbc38 · outbound

This paper cites Distributed multi-agent coordination over cellular sheaves,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Distributed multi-agent coordination over cellular sheaves,

Reference 9

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:940c5fff853eb0b17868b68361ce70261e0a1a80ec290e1baca13223e590a659

Observation 531f3a3e-4ebd-45f8-95fe-662988703848 · outbound

This paper cites Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach

Reference 10

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:183ed3f96cf65839f2bc84f8906a97c5668f4c3152103c568b6ef7c65643f0a0

Observation ed789713-fefa-4291-bc4d-bcf5442d2d4c · outbound

This paper cites Learning network sheaves for ai-native semantic communication,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Learning network sheaves for ai-native semantic communication,

Reference 11

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:08fa63164ee3556433107944a76ca48e8a74b1ee19f33b51274595d8f8c50bb4

Observation 2cb68775-0424-4c71-b4c6-8094ccdf7c3a · outbound

This paper cites Sheaves are the canonical data structure for sensor integration,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Sheaves are the canonical data structure for sensor integration,

Reference 12

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:cbcf9f7f16b68f6d8eca600fbb3bf5af6f3c22e603f120fafdb0e26cee32f720

Observation 5edace0b-85cb-45de-96ce-935c2c55ffbd · outbound

This paper cites Neural sheaf diffusion: A topological perspective on heterophily and oversmoothing in gnns,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Neural sheaf diffusion: A topological perspective on heterophily and oversmoothing in gnns,

Reference 13

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:d0338e2d86010d74ada5db781cce80d917bb5cc5c63e62f1afa6f9b1eac59ddc

Observation a3efe55b-69f6-4593-8361-ca3cff85c13c · outbound

This paper cites Sheaf neural networks with connection laplacians,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Sheaf neural networks with connection laplacians,

Reference 14

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:8bfc20bd4458a46f37df07e83c4faa4b563dfeb426d4f6c5b70e16cb16c96fcd

Observation 245d6d93-7150-41cb-a35f-746f922167db · outbound

This paper cites Ranking and sparsifying a connection graph,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Ranking and sparsifying a connection graph,

Reference 15

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:a1b826ac4ca461a5c01d987e55361ca59d925978480d4716e507ca7d58603d05

Observation 8da12909-f9f1-4c35-b34f-bb132552dade · outbound

This paper cites Learning the structure of connection graphs,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Learning the structure of connection graphs,

Reference 16

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:b00792931316d5701d95336fc025819b0bf25010a7d103a5e45c8b8c04f54e11

Observation c7184706-65e0-44fd-9585-fee6939e0bb8 · outbound

This paper cites Bundle neural network for message diffusion on graphs,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Bundle neural network for message diffusion on graphs,

Reference 17

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:f326651d0a5c4c2e6b9a4ba31f665f782b2c6e7457ba6aeb08ab8357f87873b6

Observation c8075d13-737e-4a1d-b8f5-16f03d7cb6da · outbound

This paper cites Triplet- based wireless channel charting: Architecture and experiments,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Triplet- based wireless channel charting: Architecture and experiments,

Reference 18

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:cbe2698467ee00a659baeafff7de16fb03845ead2b6f9361bb51c3f39f920d21

Observation 3459c705-8101-44bb-b4f3-4dc7153e622c · outbound

This paper cites A solution for the best rotation to relate two sets of vectors,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting A solution for the best rotation to relate two sets of vectors,

Reference 19

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:1ea289952b7ac82b9d0d75b2e374a502861f9285875401001e16b4435ecdb652

Observation 0bf342ea-3d12-4752-a080-480f8ec79c34 · outbound

This paper cites Towards optimal transport with global invariances,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Towards optimal transport with global invariances,

Reference 20

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:9912b53baaed77224f34b20a7bb36a6f9427228ccc7af88e9ce13ed695081f21

Observation eb3e8559-a654-4bbf-bb12-17f00e44e419 · outbound

This paper cites Manifold alignment using procrustes analysis,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Manifold alignment using procrustes analysis,

Reference 21

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:ec7e0574e547fda7f14c792157f1fd90a6e653ca54174d7357567911f6feb306

Observation c6fd9f35-9281-4c61-be6f-f782cd9480ad · outbound

This paper cites A distributed massive mimo channel sounder for “big csi data.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting A distributed massive mimo channel sounder for “big csi data

Reference 22

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:2f7c881b7609fa0bfec6b862d5422128a6927d08a18c752dd64ff60053cc46c6

Observation fc2827c0-6b02-4a88-91bf-418727e537ec · outbound

This paper cites Learning sheaf laplacian optimizing restriction maps,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Learning sheaf laplacian optimizing restriction maps,

Reference 23

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:b93aeac37ae38c2c889887f494a0f7cfc3490803daa1f88e42bee69439dc9c92

Observation af088d00-3d9e-4781-9903-7743fa74d3de · outbound

This paper cites Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis,

Reference 24

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:d6f174dad2e0f9540469dda0b0444320a7d60caba1e12f335aad426b688cb600

Observation 33d1abd2-dd36-496b-acb6-f8af3b54cb24 · outbound

This paper cites Neighborhood preservation in nonlinear projection methods: An experimental study,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Neighborhood preservation in nonlinear projection methods: An experimental study,

Reference 25

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:8bacaf0bbf89877ecc628b2406b9b510921183f60285f768e55f10aaa16b3fd2

Observation 4f989d89-dc1e-4b00-986c-9ca768b249df · outbound

This paper cites Unsupervised manifold alignment with joint multidimensional scaling,.

A Sheaf-Theoretic Framework for Distributed Multi-Site Channel Charting Unsupervised manifold alignment with joint multidimensional scaling,

Reference 26

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source=pdf_text observed=2026-07-12T02:12:36.752296Z digest=sha256:0b96e6a4f685adad3257f4c9d2a18cd64b6786b7edd76348ee9a98b79b54c2dc

Pith citing papers

No inbound Pith citation observations are available.