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Paper Citation Record · LEDGER

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation

As of 9 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 4 inbound Pith citation observations for arXiv:2502.06118.

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

pith.paper-citation-record.v1
2502.06118 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:48:22.272177Z

measured 44 of 44 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:49:35.759532Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-12T10:36:28.619444Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact3
  • verified fuzzy27
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2eee8b5f-88f1-4f24-9e7f-8a9a87140448 · outbound

This paper cites Hello GPT-4o,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Hello GPT-4o,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:23.074195Z

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=2026-08-08T16:48:21.953483Z digest=sha256:501a4f872f904ae00b8a8073efe2128940cf0d0cf83a8500f79f668059599277

Observation 41b5d9fe-c2f0-4095-9207-c1600796866e · outbound

This paper cites Show-o: One Single Transformer to Unify Multimodal Understanding and Generation.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-08T16:48:21.984245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:48:21.984245Z digest=sha256:3c55123607915be909aab268045c18e481673cae83fab62ea8acbfc0b7716ce0

Observation 82481f9e-9793-4a00-9b96-ebd5cb086da6 · outbound

This paper cites The (r) evolution of multimodal large language models: A survey,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation The (r) evolution of multimodal large language models: A survey,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T16:48:21.988218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:48:21.988218Z digest=sha256:49aaaad017bc8ce824bb4cb2e631b427ca063a7e7636e78e6b50af2ed1e7338a

Observation f04e8ddb-52a3-4431-b1cb-2fbea8749c2e · outbound

This paper cites Attention is all you need,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Attention is all you need,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:23.065051Z

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=2026-08-08T16:48:21.992703Z digest=sha256:0a79f9ffa5b9d598e0483f525d1cedddc237d31399814595b134e17100d5d33c

Observation ec60af8c-f567-4ead-8d60-72d03f0bffd6 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T16:48:21.996144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:48:21.996144Z digest=sha256:47294883f7180b921af569f2f5052f4727186da94418d8d55a6c0f0328f47bf4

Observation 30f175f8-6673-47a5-85fc-dc50af823da4 · outbound

This paper cites Neural discrete representation learning,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Neural discrete representation learning,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:23.055241Z

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=2026-08-08T16:48:22.000664Z digest=sha256:5f62e4ec8bbe5132fea09daff2a08d8d98b645d99625b94047de0b22d4ee1f0b

Observation aba76c3e-42a9-4413-9b7e-177801e0e67f · outbound

This paper cites MaskGIT: Masked generative image transformer,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation MaskGIT: Masked generative image transformer,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:23.044884Z

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=2026-08-08T16:48:22.004581Z digest=sha256:22e61b3cec09bbe44123daacb1c656f84ef4f4573ab99a7a47bfa4b58784e853

Observation 1161c970-c124-4f60-bbf7-d698f6425c87 · outbound

This paper cites Taming transformers for high- resolution image synthesis,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Taming transformers for high- resolution image synthesis,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:23.034821Z

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=2026-08-08T16:48:22.008586Z digest=sha256:dd465874931fab2d443955a5ec8d3b3233bc65c8af3f6780a80eb002dd613027

Observation 8c0304cd-1bb4-4026-b710-88d7e2ab0d88 · outbound

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

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T16:48:22.012510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:48:22.012510Z digest=sha256:ca73a282a088389be5fbd7a841eaed1ba3a3d4e6028e0fe321301dbdc76f1f08

Observation 1a406d1d-5a5c-4e12-a174-fe4ca3c037ef · outbound

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

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Beyond transmitting bits: Context, semantics, and task-oriented communications,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:23.024358Z

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=2026-08-08T16:48:22.017244Z digest=sha256:bea21b0b9897f2671f093124e0e119776a384bc799c855d61df6bfc56175d751

Observation ada74de2-61ff-4da3-aa1d-df43f42776f9 · outbound

This paper cites Generative AI-driven Semantic Communication Networks: Architecture, Technologies and Applications.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Generative AI-driven Semantic Communication Networks: Architecture, Technologies and Applications

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-08T16:48:22.692707Z

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=2026-08-08T16:48:22.021074Z digest=sha256:0ae448a601909f4d9af5ad22fce528810b435046aabdef920225ebb0589c923c

Observation 09e5fe1e-5782-4163-bfa6-3368f48d4e03 · outbound

This paper cites Deep generative modeling reshapes compression and transmission: From efficiency to resiliency,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Deep generative modeling reshapes compression and transmission: From efficiency to resiliency,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:23.013316Z

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=2026-08-08T16:48:22.025363Z digest=sha256:da156260a8397b071693cbfecddbdfb2d1ddb6b69543a879216fa937333e3e3e

Observation e983094c-60f5-42e0-b3fd-51517acb15f8 · outbound

This paper cites Language Modeling Is Compression.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Language Modeling Is Compression

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T16:48:22.029084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:48:22.029084Z digest=sha256:04d3eb47a8ce9efb76a99fc25317245567b7a3c86191670ccb5b0e976079f2ed

Observation fbf140cd-e91a-4be6-9b4e-89e1752b85b3 · outbound

This paper cites Latency-aware generative semantic communications with pre-trained diffusion models,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Latency-aware generative semantic communications with pre-trained diffusion models,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:23.002575Z

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=2026-08-08T16:48:22.033060Z digest=sha256:2e3ae8e3c5f6dc274c9848765050499934551dee62bc136177c67f395be715d3

Observation b231c623-a59f-4aae-b531-588ff1aff454 · outbound

This paper cites Language-Oriented Semantic Latent Representation for Image Transmission.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Language-Oriented Semantic Latent Representation for Image Transmission

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T16:48:22.037139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:48:22.037139Z digest=sha256:273202b14b8ec35b0e2b8c98e82c1021a6334cb535ed7bcbe933905c8a6b8aba

Observation e82210ab-f6c5-41e3-a65f-33696c0bf519 · outbound

This paper cites Generative Semantic Communication via Textual Prompts: Latency Performance Tradeoffs.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Generative Semantic Communication via Textual Prompts: Latency Performance Tradeoffs

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-08T16:48:22.041176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:48:22.041176Z digest=sha256:27a6700746746693a91f3dbefd7f51b5729ec6d62c7fb8cee37330b46df8e26a

Observation bdd95480-c4af-48c0-9b42-918d7c730ef2 · outbound

This paper cites Extreme video compression with prediction using pre- trained diffusion models,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Extreme video compression with prediction using pre- trained diffusion models,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.992079Z

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=2026-08-08T16:48:22.045156Z digest=sha256:5b4fea20d0aa44515ba1b24ff9f3017a62397f4e068d0779a800217c61813b39

Observation 1502ade4-f223-4819-a125-9662cb94cd0f · outbound

This paper cites Error correction code transformer,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Error correction code transformer,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.982057Z

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=2026-08-08T16:48:22.050068Z digest=sha256:fc4927adb9224c9df3ffb6fb83c548a5adf281e62f4e5ff2901fab3ef91c3808

Observation dad5865b-67ac-4fcd-a838-39f0b263b507 · outbound

This paper cites Language-oriented communication with semantic coding and knowledge distillation for text-to-image generation,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Language-oriented communication with semantic coding and knowledge distillation for text-to-image generation,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.971542Z

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=2026-08-08T16:48:22.053523Z digest=sha256:fd59a8d029080c2623984a39cc8a371200a8f7eac4dd1c178b36394250ddf619

Observation a0c9914a-a875-4f27-8afe-65e7f775045e · outbound

This paper cites High perceptual quality wireless image delivery with denoising diffusion models,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation High perceptual quality wireless image delivery with denoising diffusion models,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.961375Z

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=2026-08-08T16:48:22.057349Z digest=sha256:8bf6869fde748f2b54ae7357a3f6596cfd6efbfe52b9ff06028c0d48433c5a15

Observation 57ca2c8b-a875-45dc-9b77-78d927a981c9 · outbound

This paper cites Generative joint source-channel coding for semantic image transmission,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Generative joint source-channel coding for semantic image transmission,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.952162Z

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=2026-08-08T16:48:22.061259Z digest=sha256:c7642d1cf43622097e487680e0f7583f9848c58c3f581585d611537b20ed0aaf

Observation 0511b43d-5c78-42fe-ab2d-6612319bbd89 · outbound

This paper cites Adaptive Semantic Token Selection for AI-native Goal-oriented Communications.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Adaptive Semantic Token Selection for AI-native Goal-oriented Communications

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-08T16:48:22.647443Z

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=2026-08-08T16:48:22.111667Z digest=sha256:e4c8449fd3daa880962cf1997153e7419d5374ede27e27bd4c5c55eab6ad10bd

Observation 2b0278ab-8695-4720-ad8a-f3e2a56d5ea7 · outbound

This paper cites Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T16:48:22.203948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:48:22.203948Z digest=sha256:af1dde78fd880a3ad5b447032955c678ed663c5eec01c59c2a4c228e5c53ec25

Observation d80699b1-b130-4987-a7a9-37177feaace5 · outbound

This paper cites Distributed deep joint source-channel coding over a multiple access channel,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Distributed deep joint source-channel coding over a multiple access channel,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.943477Z

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=2026-08-08T16:48:22.213299Z digest=sha256:b17f3df9b8aa24b5f8cac5efd8a9655987601cbe011f73b836151fe6b2da088c

Observation 2aa0623b-7b1f-419f-9029-76dabf66320e · outbound

This paper cites Orthogonal model division multiple access,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Orthogonal model division multiple access,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.934055Z

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=2026-08-08T16:48:22.216938Z digest=sha256:bffb3f236b8164cec1caad35ac3034330fd4be870e6416af220ccb9a01843eb6

Observation 69487c64-8b5d-4ed5-9fff-727a7e64ec80 · outbound

This paper cites Deepma: End-to-end deep multiple access for wireless image transmission in semantic communication,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Deepma: End-to-end deep multiple access for wireless image transmission in semantic communication,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.924453Z

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=2026-08-08T16:48:22.221082Z digest=sha256:a2744a7793920a11be0c7e4cd8cd64372f8fb9e1eb9c196f0bf7072d402ab437

Observation afe42b57-5a17-4839-88ba-5a83d17d9c5b · outbound

This paper cites Exploiting semantic communication for non- orthogonal multiple access,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Exploiting semantic communication for non- orthogonal multiple access,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.912643Z

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=2026-08-08T16:48:22.224235Z digest=sha256:37f4d02deb70138de753b5d3a2da07e0528c18ca75c20e5f34f7c85020595084

Observation 9c1e2d56-2cf5-45a6-b7b3-50c2ea81b118 · outbound

This paper cites Next generation multiple access for IMT towards 2030 and beyond,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Next generation multiple access for IMT towards 2030 and beyond,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.901936Z

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=2026-08-08T16:48:22.227789Z digest=sha256:f90487bc0baf04b354cff3d2af55f4a4d713cb9787c55f0e71433485665bbd2b

Observation ed16642d-879a-4f4f-8c53-65c04cb75e6d · outbound

This paper cites Probabilistic searching for MIMO detection based on lattice Gaussian distribution,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Probabilistic searching for MIMO detection based on lattice Gaussian distribution,

Reference 29

Resolution
metadata mismatch
raw_fallback, observed 2026-08-08T16:48:22.621789Z

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=2026-08-08T16:48:22.231240Z digest=sha256:68119e048501ce19a26005431ec78ef533a9b3b3dd98eb8d445df0a191f6109f

Observation 87e986d3-77ed-434f-9702-c5f6c43f09bd · outbound

This paper cites Randomized iterative sampling decoding algorithm for large-scale MIMO detection,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Randomized iterative sampling decoding algorithm for large-scale MIMO detection,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T16:48:22.235963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:48:22.235963Z digest=sha256:c1a519bc353fd049cfdef367282b83c4581de8c547f06c800e7f3c9e4b49c027

Observation f85276e2-7c11-4c94-b18d-73e405fece27 · outbound

This paper cites Unsourced multiple access: A coding paradigm for massive random access,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Unsourced multiple access: A coding paradigm for massive random access,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.890889Z

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=2026-08-08T16:48:22.239675Z digest=sha256:0f3ba143d7ceeba4efa16451332ff9585c45f5ac1eca6f999a585c0fa878d9cf

Observation dc4c0ed0-e244-43c4-bae9-2786ff283b28 · outbound

This paper cites Massive connectivity with massive MIMO—Part I: Device activity detection and channel estimation,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Massive connectivity with massive MIMO—Part I: Device activity detection and channel estimation,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.879980Z

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=2026-08-08T16:48:22.243477Z digest=sha256:83e4f6483f828aec6821161b8862292932e97a7b9615d5a17066650da2cf4ea9

Observation 4e8cc5d7-4877-4e4a-b7cd-ffefe39d6271 · outbound

This paper cites Sensing user’s activity, channel, and location with near- field extra-large-scale MIMO,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Sensing user’s activity, channel, and location with near- field extra-large-scale MIMO,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.869451Z

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=2026-08-08T16:48:22.246776Z digest=sha256:4a8954cbac77044ce778cb54bdec6c2cb0bd8614ccfab7618d9a1ec420a8f117

Observation 895e1807-c299-46e5-856a-aab1752c3776 · outbound

This paper cites Covariance-based device activity detection with massive MIMO for near-field correlated channels,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Covariance-based device activity detection with massive MIMO for near-field correlated channels,

Reference 34

Resolution
verified exact
raw_fallback, observed 2026-08-08T16:48:22.440670Z

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=2026-08-08T16:48:22.250374Z digest=sha256:20e462be70c56d3f9c1adf9cc7a8b506a0151b62c01e62a6e597d4a47358a2ed

Observation 3f45d2ae-993b-430c-9f4e-dc6d7be74273 · outbound

This paper cites A perspective on massive random-access,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation A perspective on massive random-access,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.858035Z

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=2026-08-08T16:48:22.253923Z digest=sha256:69bc4b5842c552ad399b31d18841971649bca296056fcd7bd8a40f8f1f94b76f

Observation c8528947-c516-4a19-bf34-24d41743dad3 · outbound

This paper cites Massive unsourced random access based on uncou- pled compressive sensing: Another blessing of massive MIMO,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Massive unsourced random access based on uncou- pled compressive sensing: Another blessing of massive MIMO,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.845528Z

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=2026-08-08T16:48:22.257820Z digest=sha256:b18faec76c9f70a221cc4087834f99f58b0ae1cedd32a6ad373c9014fe15c48e

Observation 461dc42a-5af8-4659-b064-5c943fab9a38 · outbound

This paper cites Design and analysis of massive uncoupled unsourced random access with bayesian joint decoding,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Design and analysis of massive uncoupled unsourced random access with bayesian joint decoding,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.834619Z

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=2026-08-08T16:48:22.261310Z digest=sha256:8651c9fd02e44316a160c23e53f744439f7567456ec65ca4ba79c04a9281724f

Observation c5ef1c69-0626-4b3d-83c6-f9f0246dba62 · outbound

This paper cites Massive digital over-the-air computation for communication-efficient federated edge learning,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Massive digital over-the-air computation for communication-efficient federated edge learning,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.823529Z

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=2026-08-08T16:48:22.264935Z digest=sha256:300f6ff7d6303e708f4acb65a640aebc7155eff1ec3c75c5c50a38362a937de9

Observation 2e8aea0b-644c-450c-980b-9a344e48b76c · outbound

This paper cites Imagenet large scale visual recognition chal- lenge,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Imagenet large scale visual recognition chal- lenge,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.812408Z

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=2026-08-08T16:48:22.268625Z digest=sha256:20cbe39ca84ad488311d4e963cbcd55bc46d36f3557df50d88a934bca84e57f7

Observation 47dcd887-1da2-46a8-a102-e37aab723df7 · outbound

This paper cites Variable-rate variable-power MQAM for fading channels,.

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation Variable-rate variable-power MQAM for fading channels,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:22.801105Z

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=2026-08-08T16:48:22.272177Z digest=sha256:6e4cf64983d52b40e1a26f76908ee92dc86d306ff9b8f307b8db200dc6be01c8

Pith citing papers

Observation 2d8afdce-ffd5-492d-a5b3-1151e1ffcefb · inbound

Adaptive Semantic Token Communication for Transformer-based Edge Inference cites this paper.

Adaptive Semantic Token Communication for Transformer-based Edge Inference Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:35.759532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:35.759532Z digest=sha256:035809ca770a836e052a3eeb0473dbe55390837d4ec0dd3224516c8dfde02477

Observation c6b04553-1bfe-4ee3-85a9-83fbb96cfb3f · inbound

Low-Complexity Semantic Packet Aggregation for Token Communication via Lookahead Search cites this paper.

Low-Complexity Semantic Packet Aggregation for Token Communication via Lookahead Search Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T23:13:04.084279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:13:04.084279Z digest=sha256:c3365c25fc29203df754026a06654b01ce31fd7b9487c3b22582d2336a3ba90b

Observation ab45174f-866f-468c-8136-4a2fb294b421 · inbound

Text-Guided Token Communication for Wireless Image Transmission cites this paper.

Text-Guided Token Communication for Wireless Image Transmission Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T19:22:33.150362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:22:33.150362Z digest=sha256:812c1acfad195372726a3d7f259064b9d5a7b81adf9a07641c52c62bcd5311f2

Observation 8d85e5fb-97ef-4a45-ac09-4568da16bdf9 · inbound

Semantics-Aware Hierarchical Token Communication: Clustering, Bit Mapping, and Power Allocation cites this paper.

Semantics-Aware Hierarchical Token Communication: Clustering, Bit Mapping, and Power Allocation Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:36:28.623402Z

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=2026-05-07T05:41:46.642789Z digest=sha256:fed59080075538a3ab48127758f832487bff8caf243b0abbda12acc0742d5c7c