Pith. sign in

Paper Citation Record · LEDGER

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

As of 11 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:21.953483Z digest=sha256:2fe47c425e15f2f12583f19b8aa15ae18d7ab617da4d00d245088f795804a4c1

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=sha256:13612b9bd036b25e5380fd0d4a3926885938abf98bc0cd4520dd1826ccbac7d3

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=sha256:9bc2a8ed3adf52975eac6fc7d3b6bf8c44daf0d627f672389743bb626e019e77

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:21.992703Z digest=sha256:c1eb615048c9380d1d10beba58261cff1f5124a97e635a17d665e8bff1448837

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=sha256:51be9c277637c0d7ae5889117c2c9319469d33e1ac3ece1cffbfc9dac87e940f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.000664Z digest=sha256:344d248d8e58cff476f46c7729809bc9ff670ae456d5216b6419c2c3c1b8a5bc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.004581Z digest=sha256:05eb6dcc726d323566e21392e37aa790f1c6a1ad24f28e231c4f380ce49cd2bf

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.008586Z digest=sha256:8c4a6c2717eed3ba9858e6bba7f7dccc55f996948624d9f6441f239d06933d54

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:b3d2dabfb21615dda2fa1442f2ee47486eb2e3334937f718fd4dd70b58bcdd15

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.017244Z digest=sha256:76765dea01364226c151a9b7c2aeb6a5d41795f24d3ed113993bc49618a75a72

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.021074Z digest=sha256:36fdb77ed90b0c346a87536fd1cc2e00a560f0552c4124c65e9a4ae52acf6ff0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.025363Z digest=sha256:b144b9ac49599787505b690b206d193ddf5698200b93eb53c5d1f0ef81b38f1a

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=sha256:378252ca824dfa618a88224a5bcf48a8a09086566d69428f159397bda9b70cea

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.033060Z digest=sha256:b1cd2572af6e280711e0d25a1b7753ab3712b095082693448146d85c64a976d6

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=sha256:7ab3fee06707f11120b88c4e2316e304ce7f6973380d39676fafb519ae404345

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=sha256:1a8e3239aace5705df897503c5e898e74b2d6142d050b6e6c266a8404a7bcdf3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.045156Z digest=sha256:c9075df35fc8a79fbb83c7eac6c71a9d72503676a147bf4b3707adad07464a27

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.050068Z digest=sha256:75cd9dd95004bbcd9c382e55f40413b03cd63844d7fca83cb4e005006448597f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.053523Z digest=sha256:1d5cee4d72a285f42e6a6923997f01680f81d95e7a69ddb05a730f716afe06cf

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.057349Z digest=sha256:0e7ec5084305d74fd422696fc5af030b815718086576981f1d9a30f18d4aa85b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.061259Z digest=sha256:aed99ddd328cb72bd17af6a7894a3f802b1ca1acb48cc9835585014338d11a40

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.111667Z digest=sha256:dde05a17318f5c08f3eecc892782bfadcd4323f6dc3073385b4fb860fecb9a02

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:af16a3b5a5b7954cdb7a16e76551c5f7e2687c5f9753bb24e4210a88fe985b60

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.213299Z digest=sha256:325dfdb4570e6f77c7af91eeaf018b96c1f61d70a263c4830051d8578870c350

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.216938Z digest=sha256:3abd86a981d1a614a88d60e65fa378eec07fa25544a71e7aed96a767cd364bf4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.221082Z digest=sha256:23d4dddfe6ab29d6f369fa0373945a46419873adbdd4a57cde8451602adb3662

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.224235Z digest=sha256:e358d65f5781d51b2b14cea96c6590533370dec29d0512edf209dc8cafe6605b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.227789Z digest=sha256:43bcab60b9072bc28ba45f04985e8481c409473f21214369e34a758922fe0386

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.231240Z digest=sha256:e7035500ad439324f54cc22e27288b712d33cd004f5e494b9b657cbb48b5647d

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=sha256:74de119716740868a69a35c923ed07474f92b0f2a5a2db84f44f83b3a3b4548e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.239675Z digest=sha256:89ff09e82948435cedd4fa79a4f5784491b6c2b5a761c2491e336f1c2efd891a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.243477Z digest=sha256:81860291edf5379a10ecab00e415507d1297b3c941f2256315823ec4ff4d2d84

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.246776Z digest=sha256:770bfe9ebe10db73b5188c9aff10b89dc6359baf974dc32ba6ad1287e30e4c28

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.250374Z digest=sha256:70130f34736f6e0be7c6ea95ad745e56234176ec92d63c92de6e15d602e79664

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.253923Z digest=sha256:94f996ab9488ad9007080fb1160a4212203ba2b281558a348fc3bc116bc071a8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.257820Z digest=sha256:5640dda413f1495ffcc2bf60105e7d47348df9047d489ae3c6c049d49e361da4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.261310Z digest=sha256:47baec030eab86b60d9234e358ddb454fd408f0752ab085fa381c392f8fd8ca2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.264935Z digest=sha256:85568b7fd87b73381c1e021f9c9d19b6eb7a8c3dea41afdf196f4464e72f7aa3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.268625Z digest=sha256:b24d5ee00d1d1ce36cd4449cfeeca70ab1d0db2bc11ecdc938930b339f23e3c9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:22.272177Z digest=sha256:672102951a6edb12be99f8d8f197f540512adaee32c272ac9490eca0d5dc2376

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:edbafeb11c7dd4b0e7bf8fa53a91b4cde3addffb83cfcde1190c52132ce6a764

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:f83cf807782c9f9a7ac4a2c496ff4b55d09764a3ab90cfa2b50b6a09e757a820

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:f740881223b0a2acbc8160708b55045d4a63a40b34518f1c97db5ce795f69de9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T05:41:46.642789Z digest=sha256:90de6126977dfac500e745bcd66093a158427481278269fbf7b8a6fffa2af447