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Paper Citation Record · LEDGER

Latent Space Alignment for AI-Native MIMO Semantic Communications

As of 9 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2507.16680.

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

pith.paper-citation-record.v1
2507.16680 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:12:03.510811Z

measured 39 of 39 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

39 of 39 outbound references displayed

  • verified exact2
  • verified fuzzy24
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6aa8f271-6eaf-47d4-9bf5-683c6ddc75a5 · outbound

This paper cites Survey on 6g frontiers: Trends, applications, requirements, technologies and future research,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Survey on 6g frontiers: Trends, applications, requirements, technologies and future research,

Reference 1

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8b51fed7-4b87-4f07-b9d2-758037555633 · outbound

This paper cites A new communication paradigm: from bit accuracy to semantic fidelity.

Latent Space Alignment for AI-Native MIMO Semantic Communications A new communication paradigm: from bit accuracy to semantic fidelity

Reference 2

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Observation 8887bee1-7e71-4d1d-97c5-197134963b22 · outbound

This paper cites Towards a new internet for the year 2030 and beyond,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Towards a new internet for the year 2030 and beyond,

Reference 3

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Observation 0d579468-7ecc-4043-a11c-bbc32af50b0f · outbound

This paper cites 6G networks: Beyond shan- non towards semantic and goal-oriented communications,.

Latent Space Alignment for AI-Native MIMO Semantic Communications 6G networks: Beyond shan- non towards semantic and goal-oriented communications,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 87e775cb-f061-4555-b6f5-dbc027e2ad42 · outbound

This paper cites Semantic communication: A survey on research landscape, challenges, and future directions,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Semantic communication: A survey on research landscape, challenges, and future directions,

Reference 5

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source=pdf_text observed=2026-08-06T15:12:02.005265Z digest=sha256:9a5aad53bdcbbb0d318178e32265f3857259eee29b84bb1264dd1013f82576fe

Observation a360c673-aa67-4325-99ec-d7fa4ad4db75 · outbound

This paper cites Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach.

Latent Space Alignment for AI-Native MIMO Semantic Communications Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach

Reference 6

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Observation 09fd0ac9-db83-46dd-b704-49d534b8b060 · outbound

This paper cites Beyond transmitting bits: Context, semantics, and task-oriented communications,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Beyond transmitting bits: Context, semantics, and task-oriented communications,

Reference 7

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Observation 29aa86a6-4a19-4cc0-b079-b17f6ff5bdd5 · outbound

This paper cites Semantic communications: Overview, open issues, and future research directions,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Semantic communications: Overview, open issues, and future research directions,

Reference 8

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 86dd5456-efff-4f32-a8cb-bbf214fcca32 · outbound

This paper cites The semantic communication game,.

Latent Space Alignment for AI-Native MIMO Semantic Communications The semantic communication game,

Reference 9

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 744babf8-a46b-4b92-ac6e-379e65197a5e · outbound

This paper cites Towards a theory of semantic communication,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Towards a theory of semantic communication,

Reference 10

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Observation 366d2382-4f0d-4644-bb51-211ef9e3f308 · outbound

This paper cites Semantics-empowered communication for networked intelligent systems,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Semantics-empowered communication for networked intelligent systems,

Reference 11

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source=pdf_text observed=2026-08-06T15:12:02.062373Z digest=sha256:c80308fea6ff479e5c7fbf393898d9915c6d723c9491646f0e34bb73625c61b2

Observation 9e753523-dbc9-48e8-979f-74f24bb549d3 · outbound

This paper cites The role of fidelity in goal- oriented semantic communication: A rate distortion approach,.

Latent Space Alignment for AI-Native MIMO Semantic Communications The role of fidelity in goal- oriented semantic communication: A rate distortion approach,

Reference 12

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 45aa1b58-70cd-4ca4-97f0-d55561e4e944 · outbound

This paper cites Adaptive resource optimization for edge inference with goal-oriented communi- cations,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Adaptive resource optimization for edge inference with goal-oriented communi- cations,

Reference 13

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Observation c83c87a4-8d12-494e-bfbc-ed1b85e79674 · outbound

This paper cites Goal-oriented communications for the IoT: System design and adaptive resource optimization,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Goal-oriented communications for the IoT: System design and adaptive resource optimization,

Reference 14

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source=pdf_text observed=2026-08-06T15:12:03.370100Z digest=sha256:0e43c611f7e83bbb208ab21bb6eaa529bf57f1a7ed8d0e49f5eb2b5e0fd8262f

Observation 220157f3-0dd3-45e5-9fb1-6a3acd29e401 · outbound

This paper cites Dynamic Relative Representations for Goal-Oriented Semantic Communications.

Latent Space Alignment for AI-Native MIMO Semantic Communications Dynamic Relative Representations for Goal-Oriented Semantic Communications

Reference 15

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source=pdf_text observed=2026-08-06T15:12:03.375906Z digest=sha256:1f795152c93ba99e04809bfe8e2dcf0a0ff638807da87e9aa624fb0e3cb90e7b

Observation 6df7963e-d4cd-4376-9165-198640dcc50e · outbound

This paper cites Reasoning with the Theory of Mind for Pragmatic Semantic Communication.

Latent Space Alignment for AI-Native MIMO Semantic Communications Reasoning with the Theory of Mind for Pragmatic Semantic Communication

Reference 16

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 47c03e99-5351-47b3-bcf6-57ead3fe22c9 · outbound

This paper cites Semantic communications based on adaptive generative models and information bottleneck,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Semantic communications based on adaptive generative models and information bottleneck,

Reference 17

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation bf632c6a-44b7-454f-9d4b-2e5ceebce07f · outbound

This paper cites Deep learning enabled semantic communication systems,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Deep learning enabled semantic communication systems,

Reference 18

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a5ac5ce8-fd70-4327-ac33-0e9c91c3ba1c · outbound

This paper cites A mathematical theory of communication,.

Latent Space Alignment for AI-Native MIMO Semantic Communications A mathematical theory of communication,

Reference 19

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Observation f59df3ca-9fac-4ac8-8165-01a63fdd1bca · outbound

This paper cites Deep joint source- channel coding for wireless image transmission,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Deep joint source- channel coding for wireless image transmission,

Reference 20

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ca76b422-6be6-4158-9530-377c0f70af92 · outbound

This paper cites Ofdm-guided deep joint source channel coding for wireless multipath fading channels,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Ofdm-guided deep joint source channel coding for wireless multipath fading channels,

Reference 21

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Observation e5db1cde-6ace-4c98-90a7-ba0cc43ac596 · outbound

This paper cites Wireless image transmission using deep source channel coding with attention modules,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Wireless image transmission using deep source channel coding with attention modules,

Reference 22

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Observation 5bd113cc-430a-4c76-9f8f-adc4ea9b8bd6 · outbound

This paper cites Nonlinear transform source-channel coding for semantic communications,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Nonlinear transform source-channel coding for semantic communications,

Reference 23

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Observation df597d29-1c1f-47d0-95c9-19f4d0b2fb9f · outbound

This paper cites Deep joint source-channel coding for adaptive image transmission over mimo channels,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Deep joint source-channel coding for adaptive image transmission over mimo channels,

Reference 24

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d19e8b38-45ea-47b5-aef8-2e7a41b4b7dc · outbound

This paper cites Deep joint source-channel coding for semantic communications,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Deep joint source-channel coding for semantic communications,

Reference 25

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Observation cc742aca-2e90-414c-8b44-68b3a3678881 · outbound

This paper cites Towards optimal transport with global invariances,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Towards optimal transport with global invariances,

Reference 26

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8baf02ce-58fd-4007-bd82-eb80438de3fb · outbound

This paper cites Relative representations enable zero-shot latent space communication.

Latent Space Alignment for AI-Native MIMO Semantic Communications Relative representations enable zero-shot latent space communication

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:03.435092Z digest=sha256:2a2d004bffcc809ca50a7215b62dc1eceac6e85dffe12e031d2be57c19c07453

Observation a9f7acd0-57f0-4463-b892-ea022f950c52 · outbound

This paper cites Stitchable neural networks,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Stitchable neural networks,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6a4d2e85-557d-4812-8006-c33b6667dfd9 · outbound

This paper cites Semantic Channel Equalizer: Modelling Language Mismatch in Multi-User Semantic Communications.

Latent Space Alignment for AI-Native MIMO Semantic Communications Semantic Channel Equalizer: Modelling Language Mismatch in Multi-User Semantic Communications

Reference 29

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local_arxiv, observed 2026-08-06T15:12:03.595190Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d2e1d381-b612-4167-b726-bf004202c033 · outbound

This paper cites On the direct alignment of latent spaces,.

Latent Space Alignment for AI-Native MIMO Semantic Communications On the direct alignment of latent spaces,

Reference 30

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9cc4d230-b510-4203-a04b-519a71bf9739 · outbound

This paper cites Latent Space Translation via Inverse Relative Projection.

Latent Space Alignment for AI-Native MIMO Semantic Communications Latent Space Translation via Inverse Relative Projection

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:03.458271Z digest=sha256:2745799fb2853eb301e5311a542ef3421e59150bd0a80e37c019b363f759fbcc

Observation 4393d45f-3128-47ee-a846-e6c6f84f20a7 · outbound

This paper cites Relative representations of latent spaces enable efficient semantic channel equalization,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Relative representations of latent spaces enable efficient semantic channel equalization,

Reference 32

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation fc14872b-7b6f-4ee4-8602-fe563cde6cc2 · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Distributed optimization and statistical learning via the alternating direction method of multipliers,

Reference 33

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b913a901-8e9f-420e-86c6-4fac613428dd · outbound

This paper cites Algorithm 432 [c2]: Solution of the matrix equation ax + xb = c [f4],.

Latent Space Alignment for AI-Native MIMO Semantic Communications Algorithm 432 [c2]: Solution of the matrix equation ax + xb = c [f4],

Reference 34

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:12:03.478697Z digest=sha256:454261463d7d9983e29a5026fba0ca723f0df986c1638c64035ea7caf08b87ca

Observation 0d84dc40-05fc-487d-a19c-9c0160255714 · outbound

This paper cites Kkt conditions, first-order and second-order optimization, and distributed optimization: Tutorial and survey,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Kkt conditions, first-order and second-order optimization, and distributed optimization: Tutorial and survey,

Reference 35

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:12:03.489526Z digest=sha256:0f13b1d358b48a38bda6104f18ec8d62e11cabb6f0c0c705ee30d2b691cf5aad

Observation ba6ec19f-ad22-4548-8543-f4aeeaf8b0fc · outbound

This paper cites Deep complex networks,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Deep complex networks,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:03.773871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:12:03.495707Z digest=sha256:66e664fb80052cb8a4da91c69a9f7d7479440a966d299dd139648cde03fc84e9

Observation 92b7979e-ad63-4920-a881-e4864ccc2a35 · outbound

This paper cites Proximal algorithms,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Proximal algorithms,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:03.757125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:12:03.501406Z digest=sha256:6502427a0235b03a9142db8086a983a495ccde9df05b27d48167479065722ceb

Observation ce5d8b7a-292d-42bc-8ab2-feaf528069ca · outbound

This paper cites Learning multiple layers of features from tiny images,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Learning multiple layers of features from tiny images,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T15:12:03.506193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:03.506193Z digest=sha256:eb41256a8acaa3d0c41e97c4fda6e6248cc22310453446a9ebefd1d3cb50b964

Observation 5cc47a73-b31c-46d5-af3f-e125b7f6fb1b · outbound

This paper cites Pytorch image models,.

Latent Space Alignment for AI-Native MIMO Semantic Communications Pytorch image models,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T15:12:03.510811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:03.510811Z digest=sha256:052cbfec5c28d0b0526b30ded84ac24f053168d4c0c43f926bab3dd3959fcce0

Pith citing papers

No inbound Pith citation observations are available.