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Paper Citation Record · LEDGER

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access

As of 17 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 8 inbound Pith citation observations for arXiv:2505.10946.

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

pith.paper-citation-record.v1
2505.10946 v3

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:08:58.155062Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:32:31.177751Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:18:12.708621Z

Reference resolution

70 of 70 outbound references displayed

  • verified exact2
  • verified fuzzy47
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de7b1af5-b5c9-469b-bd68-67dc787f0c4f · outbound

This paper cites Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation

Reference 1

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unresolved
no resolver link, observed 2026-08-15T21:08:57.794226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:57.794226Z digest=sha256:c359fa2d7958ca5b9b723c9cb9ed17f829ed4a001d04bad25b1151d334d3bfac

Observation 0f20301c-7dce-43a3-8f2f-f641fa9041fe · outbound

This paper cites MM-LLMs: Recent advances in multimodal large language models,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access MM-LLMs: Recent advances in multimodal large language models,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.470821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.800334Z digest=sha256:393260a34aff7a69eeb26d694923c92b1aa9fc25d80a3e60c33971728888578f

Observation cf0b3aac-cd83-447b-8811-54f14fdfe0ac · outbound

This paper cites Hello GPT-4o,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Hello GPT-4o,

Reference 3

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no resolver link, observed 2026-08-15T21:08:57.805514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:57.805514Z digest=sha256:2ef1f876aa5f8d730eea48a4c6d522aa2a209e371dda500acc3a651a294fcfec

Observation 43a32d73-b4e1-4d48-b000-782723fb1f4f · outbound

This paper cites Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.439459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.810919Z digest=sha256:4eaf3f1facad55d624eb4af03249853c81daee5c4900a1f033f597856532902c

Observation 3a9b4055-71ce-4258-8c0a-edc755be3dd7 · outbound

This paper cites Visual instruction tuning,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Visual instruction tuning,

Reference 5

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raw_fallback, observed 2026-08-15T21:08:59.421500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.815984Z digest=sha256:16414a99fe2c1b8985ce0bd6b1dfdb73d868b810e0de5076243ea6bcb0a987a4

Observation 24df2580-b4d1-4941-b7c0-a0f09bce7511 · outbound

This paper cites LAMBO: Large AI model empowered edge intelli- gence,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access LAMBO: Large AI model empowered edge intelli- gence,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.403342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.820787Z digest=sha256:e1734547d26eca9a6f07ea2e34a31cd5b05a872a69f9d3985d33535a604d56bf

Observation f100bb33-44e1-4c04-aa35-3d6781aaf514 · outbound

This paper cites A comprehensive survey of large language models and multimodal large language models in medicine,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access A comprehensive survey of large language models and multimodal large language models in medicine,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.383968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.826811Z digest=sha256:c1c45563eb596e153c344537df0ea7a092d16eeb4901be0870a907d29868a571

Observation 8f5f09ac-6f0d-49e9-a0b7-21a77224e3bb · outbound

This paper cites Generative AI-Enhanced Multi-Modal Semantic Communication in Internet of Vehicles: System Design and Methodologies.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Generative AI-Enhanced Multi-Modal Semantic Communication in Internet of Vehicles: System Design and Methodologies

Reference 8

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unresolved
no resolver link, observed 2026-08-15T21:08:57.831408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:57.831408Z digest=sha256:956711e96e734b112406aaf1b995e4b0afce2f286e1930508a41cd3fc61df42e

Observation 5cb31180-201d-4548-b52f-23df38e6ca9b · outbound

This paper cites Attention is all you need,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Attention is all you need,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.364234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.836444Z digest=sha256:d0a6e13d7e5735baabbb3b932931395369094c9326a230c21a8d4ce17594bb8c

Observation a95cc351-ff76-4849-9a76-b20407c70e4f · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 10

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no resolver link, observed 2026-08-15T21:08:57.841348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:57.841348Z digest=sha256:4a5b1b55024b4847e95354bc51b27d13d28a4106cb589b11568f97cd3081055e

Observation f8fcdfc8-c607-40b4-bc4d-7b27ea13bc10 · outbound

This paper cites Neural discrete representation learning,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Neural discrete representation learning,

Reference 11

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raw_fallback, observed 2026-08-15T21:08:59.346717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.846630Z digest=sha256:1d1119b6db81c65d262682219d66aa4344736fb435989b4421e270a769278d4d

Observation 0afd7624-1fad-4738-8b95-a3a749d388ee · outbound

This paper cites What makes for good tokenizers in vision transformer?,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access What makes for good tokenizers in vision transformer?,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.324937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.851347Z digest=sha256:c9e5a450a533c21ab12a224e57186b44d7120f0e786008a81ea83f3cd41aeb60

Observation 2e4e625d-951b-4c86-840b-0023076082a8 · outbound

This paper cites MaskGIT: Masked generative image transformer,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access MaskGIT: Masked generative image transformer,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.306981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.855943Z digest=sha256:ac1b0113b4c82ae99d22e894fb9f94e2b0f7f6937d72bab2409702a0c144ad7b

Observation 9e69b6b6-1db0-48c2-9c17-0ef16b50c899 · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Taming transformers for high- resolution image synthesis,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.289914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.860884Z digest=sha256:edc9ae1ee4c0f8cfe448da3a7e00543a8e642f2e949f7205a88efc387a9bd25c

Observation 43e24c12-bd89-4fad-b3ab-11474f86881c · outbound

This paper cites Token Communications: A Large Model-Driven Framework for Cross-modal Context-aware Semantic Communications.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Token Communications: A Large Model-Driven Framework for Cross-modal Context-aware Semantic Communications

Reference 15

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no resolver link, observed 2026-08-15T21:08:57.866204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:57.866204Z digest=sha256:4ee07dd762a92e775b15bbe64ea6150130ecabfa589da73012c8ae80ffdf1d89

Observation 9f6c9f6e-ba32-4c40-abd1-d3f5ebfe9e2d · outbound

This paper cites Goal-oriented and semantic communication in 6G AI-native networks: The 6G-GOALS approach,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Goal-oriented and semantic communication in 6G AI-native networks: The 6G-GOALS approach,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.271933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.871398Z digest=sha256:9f53f5424fc8e75fdaf9cdc1e3b60fb0820025411db47dfc40115cb7f377fff9

Observation f3dfa3ba-6d3c-4d4c-bb46-3ba0d1f4aed3 · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Beyond transmitting bits: Context, semantics, and task-oriented communications,

Reference 17

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raw_fallback, observed 2026-08-15T21:08:59.251144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.875833Z digest=sha256:e783593b09b950f3416537e28ed03128ba62925a9f6d3c780475f0236cbfa47c

Observation d35f3504-1a59-455c-bcf5-9b8de409e745 · outbound

This paper cites Joint source–channel coding: Fundamentals and recent progress in practical designs,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Joint source–channel coding: Fundamentals and recent progress in practical designs,

Reference 18

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no resolver link, observed 2026-08-15T21:08:57.880956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:57.880956Z digest=sha256:c4100146775cfd2bb32314855479e2a78b328fba24482b87ff75ef3044d58a7f

Observation f806c102-34f6-4b2a-a191-c6f9f53b2ea1 · outbound

This paper cites Deep learning enabled semantic communication systems,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Deep learning enabled semantic communication systems,

Reference 19

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raw_fallback, observed 2026-08-15T21:08:59.223551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.886886Z digest=sha256:66c4a064774e7e519bba7f5b064b75f48af9efe719281f8eccd94b84e197b5c1

Observation 09fc3c38-da63-4516-8250-65a600bb08b5 · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Deep joint source- channel coding for wireless image transmission,

Reference 20

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no resolver link, observed 2026-08-15T21:08:57.892172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:57.892172Z digest=sha256:dcf99edcc21f9896d82d7fd4cae54f2603f5f1d409de99b85263b2278f4723e4

Observation d54064fb-045e-4da2-9865-1e66534b479e · outbound

This paper cites Large AI model empowered multimodal semantic communications,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Large AI model empowered multimodal semantic communications,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.196561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.896833Z digest=sha256:b2bfcb7101241c609e698b7f02dec04bfd5787bd6d39de91aa57b3f558837c79

Observation a5b4c475-2add-4802-ba11-a98a54d6adc2 · outbound

This paper cites Generative AI-driven semantic communication networks: Architecture, technologies and applications,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Generative AI-driven semantic communication networks: Architecture, technologies and applications,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.177421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.901337Z digest=sha256:4b5c652c075e74d92622d1c41824007c29035ae840ff65bbe015670f8d04e6c4

Observation 55a71270-507e-4dba-baa1-3aecc919a4cd · outbound

This paper cites Large AI model-based semantic communications,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Large AI model-based semantic communications,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.157291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.905644Z digest=sha256:f6584d479fa81d31859eaab1031df60a661799eface5a80f236e3467e4033954

Observation 910851a6-5905-44c8-8530-f8ba83998310 · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Deep generative modeling reshapes compression and transmission: From efficiency to resiliency,

Reference 24

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no resolver link, observed 2026-08-15T21:08:57.910084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:57.910084Z digest=sha256:28541b84996193f958e599d4a191cd201263b2976a753263b46dc5d9e129a52c

Observation f63d2c18-cf1b-4163-a0da-e971ffe69b42 · outbound

This paper cites Information compression in the AI era: Recent advances and future challenges,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Information compression in the AI era: Recent advances and future challenges,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.127417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.915141Z digest=sha256:f5b3fe915d8e4ac3d3de71ecda2e1fbb06d7c55dafb5df48d0612f580cd4beea

Observation 8b0e2143-c00e-43ee-9e29-9882a87c2eea · outbound

This paper cites LLMZip: Lossless Text Compression using Large Language Models.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access LLMZip: Lossless Text Compression using Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T21:08:57.920403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:57.920403Z digest=sha256:c3e2b027e5762eb159370ec831f77576004ae5952beb7b5fdcf606b56f5b07d7

Observation c4a65d9d-3f35-4709-bdd8-579c6ddb5d0e · outbound

This paper cites Language Modeling Is Compression.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Language Modeling Is Compression

Reference 27

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unresolved
no resolver link, observed 2026-08-15T21:08:57.926290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:57.926290Z digest=sha256:1b5a35ed1ed577985400682a2535d89b142a6f3162000355f3f288043e60e383

Observation 504ffff2-0022-422a-bb6c-00ef86fd64db · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Latency-aware generative semantic communications with pre-trained diffusion models,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.110320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.931202Z digest=sha256:c4b57ce9266f9064764bfcbd0fd3fcf6ee9c2e512eedb4701fc9d5b62fda5668

Observation 71dfde8b-a62f-4d2a-b9e1-5446cc36dd3d · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Extreme video compression with prediction using pre-trained diffusion models,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.094734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.935857Z digest=sha256:a70d4a38673256f51da4afc201d44313e99db0f6ff225c69a46fc6b2015d7940

Observation 41ae09a7-6db6-4b4a-be21-eab68e262099 · outbound

This paper cites Language-oriented semantic latent representation for image transmission,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Language-oriented semantic latent representation for image transmission,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.074593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.940934Z digest=sha256:0b667dfdb59a8fbc8bdb75cc1c09ad860a6363ccb8a13b9f59a06c100746133e

Observation 1e7c1b05-c32b-4d86-a0b3-70dd4a68046f · outbound

This paper cites Toward intelligent communications: Large model empowered semantic communications,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Toward intelligent communications: Large model empowered semantic communications,

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.054384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.945672Z digest=sha256:74b6742ef2732680803fcfd4090b19c0a2161ebfbd0d9e158b456f77428f54b0

Observation 01fa55d0-2cd3-4035-b79a-295a324ffb85 · outbound

This paper cites Goal-Oriented Semantic Communication for Wireless Video Transmission via Generative AI.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Goal-Oriented Semantic Communication for Wireless Video Transmission via Generative AI

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:08:58.410995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.950624Z digest=sha256:6a788bac44c5be1a23a73e2f6634d856a3a9d7b496f5643de7b6337e18dae29e

Observation 257837b7-ae05-49da-928f-2be825904e39 · outbound

This paper cites Diffusion-based generative multicasting with intent-aware semantic decomposition,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Diffusion-based generative multicasting with intent-aware semantic decomposition,

Reference 33

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unresolved
no resolver link, observed 2026-08-15T21:08:57.957047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:57.957047Z digest=sha256:ae4046307e1502a1cc4656df0eb4d38a33b247c4d8c21bd27cab708352e610ab

Observation bd1a57a2-f0c2-43fd-ad49-d88ef5f9d58e · outbound

This paper cites Accelerating mobile edge generation (MEG) by constrained learning,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Accelerating mobile edge generation (MEG) by constrained learning,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.036661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.962597Z digest=sha256:f0016685b7075f68d9a59366be3f25e4e83e3b13ede217310858cde3a158c813

Observation b920a445-0e71-4a7f-945e-1e72cf28c81d · outbound

This paper cites Generative semantic communication via textual prompts: Latency performance tradeoffs,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Generative semantic communication via textual prompts: Latency performance tradeoffs,

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-15T21:08:59.017275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.971976Z digest=sha256:640a1afcd5505354020d2322a7ef952fe40ebf4ec0b8e6c0b9155c7af3df22fc

Observation d48655fc-9ae6-46b6-9cac-e9f09732774e · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access High perceptual quality wireless image delivery with denoising diffusion models,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.999474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.978034Z digest=sha256:882a403bcd77bdca9d66763df22cf186deeedce064a5808fe473dae48f37e878

Observation b14fe442-2e7d-4842-8025-817717341d8f · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Generative joint source-channel coding for semantic image transmission,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.982167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:57.983583Z digest=sha256:0a1b1775fed5f44b940db48d18066dab22370859e17c75c5a3532a24e221d120

Observation 567c56ba-0f01-4f7d-b34d-c2f0a0bd2b27 · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission

Reference 38

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unresolved
no resolver link, observed 2026-08-15T21:08:57.989336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:57.989336Z digest=sha256:9bded77dff33bca3130a542145af5e48f7e8d4228ed58867d8785f7bca6b0034

Observation ec7ce88f-f972-473b-acf9-7ce091eb3dac · outbound

This paper cites SING: Semantic Image Communications using Null-Space and INN-Guided Diffusion Models.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access SING: Semantic Image Communications using Null-Space and INN-Guided Diffusion Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T21:08:57.995740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:57.995740Z digest=sha256:da2e9af3e46eea8ae81f5e104c75da6604b9f8a7b88503a452bb9c19420ce23b

Observation 7c225490-0390-4371-ab22-e46041db2303 · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Adaptive Semantic Token Selection for AI-native Goal-oriented Communications

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T21:08:58.003051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:58.003051Z digest=sha256:c6e18ef65bcb2f631536ffc48efca83c50853e3b1c37e68ea13f010400361445

Observation 91a3e777-46d8-40fb-966b-33e4f1b776ad · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Next generation multiple access for IMT towards 2030 and beyond,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T21:08:58.009167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:58.009167Z digest=sha256:416276d65108ea02f8ec7e559f551c5a7e607e2ef4939a44192ee28b2c5e2b91

Observation 933f74d4-c6d3-4deb-abd9-f67ececcb8ae · outbound

This paper cites Multiple access techniques for intelligent and multifunctional 6G: Tutorial, survey, and outlook,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Multiple access techniques for intelligent and multifunctional 6G: Tutorial, survey, and outlook,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.951242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.014050Z digest=sha256:27bf76c438e7d36b6f6ece070a3f8096881511445962978eddf0f66537449fd5

Observation f1f39fd7-9ec9-4868-981f-f276ea715cdd · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Massive connectivity with massive MIMO—Part I: Device activity detection and channel estimation,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T21:08:58.019335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:58.019335Z digest=sha256:82603cd541b8f9796eeb673ab2fe5d0b1dc9680f58fb088c415ac3de2ee44c65

Observation b9385530-d6a8-4e90-a375-badca7e2da0e · outbound

This paper cites Compressive sensing- based adaptive active user detection and channel estimation: Massive access meets massive MIMO,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Compressive sensing- based adaptive active user detection and channel estimation: Massive access meets massive MIMO,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.920959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.024248Z digest=sha256:88578b60602559d5d64009fce50881aad9d6e269df9368ec2e2f0cf00ebb82f7

Observation a21b9c08-1825-416b-91b4-4c0ce543c774 · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access A perspective on massive random-access,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.902993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.029394Z digest=sha256:abcca4fe3d95a0d362bf7aff6f566da5b21c333fbddebf8a4146e1ffc3a3bb87

Observation 104a3d22-111c-4a1d-a1ef-9ef14ef2b8d8 · outbound

This paper cites Coopera- tive activity detection: Sourced and unsourced massive random access paradigms,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Coopera- tive activity detection: Sourced and unsourced massive random access paradigms,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.884296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.034040Z digest=sha256:daee58b1df1a7bbe9db3b286d9734939ed41c0ed3ee0e1a2f9466828cb3bd657

Observation 8cc6c189-8ff5-49ad-86cf-e7f603c99869 · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Massive unsourced random access based on uncou- pled compressive sensing: Another blessing of massive MIMO,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T21:08:58.039317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:58.039317Z digest=sha256:de7a3d9169202249fce183e27298ef2fac59d6ce3b0429299534d09f771302ba

Observation 4480326d-1d32-4111-b90b-76f6eb4a85a0 · outbound

This paper cites Massive unsourced random access: Exploiting angular domain sparsity,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Massive unsourced random access: Exploiting angular domain sparsity,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.853808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.044631Z digest=sha256:84bb240d7379d3e9d482d6cd8f1d2f3930bcc526b6db15ee9081a1646b552154

Observation 8db63554-5346-4330-b94b-8649c3080ee9 · outbound

This paper cites Unsourced multiple access with common alarm messages: Network slicing for massive and critical IoT,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Unsourced multiple access with common alarm messages: Network slicing for massive and critical IoT,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.835622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.049846Z digest=sha256:872df2e36c4f2bd6fe1d3e863f0254876b140d2ba332be74a228fa452437a9cc

Observation 375f8285-59ce-463b-a41e-f16d5da7ef07 · outbound

This paper cites Design and analysis of massive uncoupled unsourced ran- dom access with Bayesian joint decoding,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Design and analysis of massive uncoupled unsourced ran- dom access with Bayesian joint decoding,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.818025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.054875Z digest=sha256:92800f120f44b26e46891e1d0eb80773aa2c85de0fa4225949e97cafa1720070

Observation a319422a-529a-425b-a528-9a4e5f1126f6 · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Unsourced multiple access: A coding paradigm for massive random access,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.802202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.060156Z digest=sha256:2ac05dc5b6c3817843ae133ac26be8899c886044e3cedbec1dc5077fec34a6ec

Observation 67ca837b-b3c1-4351-9fb0-703ad8ed261d · outbound

This paper cites Compressive sensing-based grant-free massive access for 6G massive communication,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Compressive sensing-based grant-free massive access for 6G massive communication,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.784310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.065085Z digest=sha256:9a874ec677e54ac49e35c5d3feed7b22ff3ca571ee2459c4862878674319390f

Observation 1c8710f7-974a-4eea-bf7f-af0fb088e877 · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Massive digital over-the-air computation for communication-efficient federated edge learning,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.765972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.069839Z digest=sha256:b77546de056ea3cb612f955c668f0032f0491efb5eb3ce1fa0603b95a2d071a3

Observation 700a3982-0a43-488c-8286-e45c20c69348 · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Distributed deep joint source-channel coding over a multiple access channel,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.747773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.074306Z digest=sha256:f4abb25f700de75f8496fee514f2b2242c512aa1bb1d71f77f7a15f1386de462

Observation 9d371d92-5139-40b8-bda1-e4483c8c3411 · outbound

This paper cites Orthogonal model division multiple access,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Orthogonal model division multiple access,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.729775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.079153Z digest=sha256:11f6cda4a136dff5f0e5907b1b181aa01618859c13dcaa48c848855285b50ef2

Observation 0832437f-4b58-45a2-8d3c-62c1fe95ba5b · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access DeepMA: End-to-end deep multiple access for wireless image transmission in semantic communication,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.712891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.084316Z digest=sha256:dd59720b0b715365548adc8b2e1d1aaff080645fdfe941a6081ff226a5dcf9cc

Observation f0d22aa4-2a24-40bf-9852-256ddd385ff1 · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Exploiting semantic communication for non- orthogonal multiple access,

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T21:08:58.089111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:58.089111Z digest=sha256:35da8074e9ed0f72716e3bf77ee686e462af16998e58d56dbe41e978dbeed4d1

Observation 17472821-b416-4bcf-9aed-45929c9e9447 · outbound

This paper cites Generative AI empowered semantic feature multiple access (SFMA) over wireless networks,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Generative AI empowered semantic feature multiple access (SFMA) over wireless networks,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.684737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.093853Z digest=sha256:0cc06e434f523b67f39545983e5e04545d415ace9cb6349edad997aa063b0abb

Observation ad5fef42-e7ea-42e6-abe0-51a9eba54f49 · outbound

This paper cites Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:08:58.239344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.098746Z digest=sha256:1a4dc54a8c606342439adf5ecde1c29ba987f449036d9248367b053b706f9c98

Observation 3a2387d6-d7ae-4d26-9d3e-9b872447a533 · outbound

This paper cites Message passing algo- rithms for compressed sensing: I. motivation and construction,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Message passing algo- rithms for compressed sensing: I. motivation and construction,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.667136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.103736Z digest=sha256:ef401f060dc8dee08447bb41bcc17719c129d8079562c79cd9f910f295d7a87e

Observation 74f3b70a-126a-462c-bf25-21db83c09582 · outbound

This paper cites Generalized approximate message passing for estimation with random linear mixing,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Generalized approximate message passing for estimation with random linear mixing,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.650298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.108757Z digest=sha256:fb7ea5fae4f509736f5480e9bdd88812f5c65980d26b01947f5de818a596f470

Observation ad31f7a7-1b74-45ec-a9e4-c6c1b5501976 · outbound

This paper cites The expectation-maximization algorithm,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access The expectation-maximization algorithm,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.633801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.113747Z digest=sha256:0e297212e4f084f598b6dd12b8098f2675705451198412e104a304d46d66578f

Observation f0ee22bb-69e6-417b-a96a-02ff314f67d2 · outbound

This paper cites k-means++: the advantages of careful seeding,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access k-means++: the advantages of careful seeding,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.616827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.119872Z digest=sha256:f099fbe9289805d091f3b47e8676b740ad4601a7c4581540d8482a6f7fa7603a

Observation a702891f-3519-4e70-ae78-6e7786bb0705 · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Variable-rate variable-power MQAM for fading channels,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.599377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.124681Z digest=sha256:35487703be489de80addc194492d2e34c339683744fc5b1ef011d379bc226685

Observation 143c445c-c684-4035-bd54-fb751b9baa8f · outbound

This paper cites Rank awareness in joint sparse recovery,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Rank awareness in joint sparse recovery,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.582285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.129561Z digest=sha256:625acd75fe71695d1861751367dcac16bd3c45a0d355b7dfe737d4d8d78f0076

Observation 84f8be64-0417-4b88-9558-a1ebd8bc1cce · outbound

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

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Imagenet large scale visual recognition chal- lenge,

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T21:08:58.134234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:58.134234Z digest=sha256:4bbdc0c238ef78d6ab8f235399ff8244dee7aff95737f6d000cf78ef507bfdb3

Observation 52390a60-e49e-4b43-bc71-08e8ecb58357 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access The unreasonable effectiveness of deep features as a perceptual metric,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.551383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.140176Z digest=sha256:083916b3818557be747c2effda527a9b02f531557da8d2dce0eebbd421a58323

Observation 7337b372-7ae9-4f99-800d-ff52beb1bf3a · outbound

This paper cites Scaling Laws for Neural Language Models.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Scaling Laws for Neural Language Models

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-15T21:08:58.145192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:58.145192Z digest=sha256:d6c1b2657be344c96c086e8dc43e4645fef6de53c42c7b5173228357ec774dc4

Observation 326638db-d36d-42ae-aa9e-3465c88ea09b · outbound

This paper cites Proposing contextually relevant quotes for images,.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access Proposing contextually relevant quotes for images,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:58.534144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:08:58.150277Z digest=sha256:d4fa128797856270fc5d7cec5418335d11de0d2d1d58ba63bc6629fffa9ea877

Observation e2812b50-a32f-4c18-9baf-0acf46786f07 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access BERTScore: Evaluating Text Generation with BERT

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-15T21:08:58.155062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:58.155062Z digest=sha256:a4b400bce897ec68f493c104d9c39a29d70a0f2d2ae6cc1af04ac48f699016b4

Pith citing papers

Observation 11dc1cc5-6170-4c0f-ae94-da50c5075fae · inbound

Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach cites this paper.

Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T20:50:30.642839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:30.642839Z digest=sha256:4436fdb273fdc131333fdd6d9ec9437da59080f24dd92342435cc99632781489

Observation 6dcd34d7-b6ba-4ded-9552-4fa84bea2e45 · inbound

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

Text-Guided Token Communication for Wireless Image Transmission ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T19:22:33.156292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:22:33.156292Z digest=sha256:b1eeef8ef0ffb6af58ca09fe9fd73eeff5ca1377848eb5f5e25cff8bfd94c8d8

Observation 279c01c7-cd70-4442-b951-8a46b74c3cd2 · inbound

Wireless TokenCom: RL-Based Tokenizer Agreement for Multi-User Wireless Token Communications cites this paper.

Wireless TokenCom: RL-Based Tokenizer Agreement for Multi-User Wireless Token Communications ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T23:56:41.388963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:56:41.388963Z digest=sha256:6a71caf29e7a4abbb5987474f66d022345f47065a2093535306cfe11eb9c9e3e

Observation 15096d35-6208-4e75-ab1c-170a4c240fbf · 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 ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-10T01:18:45.339009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T05:41:46.642789Z digest=sha256:27f7ced7b77654d60115150ef62318356d90fa6289f934c77aed3452b923b54a

Observation 50564da6-d500-4a31-894e-822d0c4c757d · inbound

STCC: A Unified Source-Channel Semantic Token Coding Framework for Semantic Communications cites this paper.

STCC: A Unified Source-Channel Semantic Token Coding Framework for Semantic Communications ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-10T01:18:45.339009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T08:19:20.681192Z digest=sha256:eb57afae2751d3967aff356fea29ad6d2febd63fbf192c168037230a382b2bc4

Observation 32e894ef-dfb7-45af-b971-4e875de52c9e · inbound

Geometric Cross-Modal Token Selection for Latency-Constrained Multimodal Token Communication cites this paper.

Geometric Cross-Modal Token Selection for Latency-Constrained Multimodal Token Communication ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:58.392440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:58.392440Z digest=sha256:e4ce038f86f1d8ee80e721376229191974aca293bdb4e6118da58977f531ef0b

Observation db5dbfa7-59fd-4f60-9f10-3e241ed84cee · inbound

Test-Time Scalable AI-RAN: Inference Time Allocation for Cell-Free MIMO cites this paper.

Test-Time Scalable AI-RAN: Inference Time Allocation for Cell-Free MIMO ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T16:03:54.506757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:03:54.506757Z digest=sha256:e6d3a66adb9f20b071b9aee9b758c2bd84d72d979979ebb3976dd498860d5c2c

Observation 4881fcdb-79e5-49b0-9d5d-85524494ef07 · inbound

Loss-Resilient Wireless Video Token Communication over Block Fading Channels cites this paper.

Loss-Resilient Wireless Video Token Communication over Block Fading Channels ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T04:32:31.177751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:31.177751Z digest=sha256:2b330944fcfec4a76e1cdc8069cf431c7371ad0e8466aa3d64f253be357de9d2