Paper Citation Record · LEDGER

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge

As of 18 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2509.09955.

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

pith.paper-citation-record.v1
2509.09955 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:26:55.169512Z

measured 53 of 53 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T04:55:08.078807Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

verified exact0
verified fuzzy0
unresolved52
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 418d44e4-46e2-48bb-8d57-10d6fbf8288b · outbound

This paper cites an unresolved cited work.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:54.957912Z

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Unavailable: canonical work link unavailable.

Observation 8eb364d3-5b82-4ce2-a8bf-6bff3ccb00f4 · outbound

This paper cites A vision of 6G wireless systems: Applications, trends, technologies, and open research problems,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge A vision of 6G wireless systems: Applications, trends, technologies, and open research problems,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:54.962970Z

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Unavailable: canonical work link unavailable.

Observation a9044190-2b40-4d90-b06a-26053e7fdfb7 · outbound

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

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Semantic communications: Overview, open issues, and future research directions,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:54.968153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d29747c3-f083-4817-acb4-868a9f452163 · outbound

This paper cites Less data, more knowledge: Building next generation semantic communication networks,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Less data, more knowledge: Building next generation semantic communication networks,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:54.972203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acd0a370-0603-41f5-81ff-f277cd3d5965 · outbound

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

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Deep joint source- channel coding for wireless image transmission,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:54.976878Z

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Unavailable: canonical work link unavailable.

Observation 1a1ecdcd-39bd-4533-a070-5802c30c2e0a · outbound

This paper cites Learning task-oriented communication for edge inference: An information bottleneck approach,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Learning task-oriented communication for edge inference: An information bottleneck approach,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:54.982385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb8c6cd0-4277-453c-ac2d-65ccf39abf4d · outbound

This paper cites Privacy-preserving task-oriented semantic communications against model inversion attacks,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Privacy-preserving task-oriented semantic communications against model inversion attacks,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:54.986912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 481cbdc2-6432-444a-a7fe-fd297cb0b431 · outbound

This paper cites Contrastive Learning and Adversarial Disentanglement for Privacy-Aware Task-Oriented Semantic Communication.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Contrastive Learning and Adversarial Disentanglement for Privacy-Aware Task-Oriented Semantic Communication

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:54.990546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb5ecf59-cff7-4ca1-8a10-2a93ba50ae33 · outbound

This paper cites Attention is all you need,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Attention is all you need,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:54.994959Z

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Observation 70d9f26d-b0ba-4d65-baf2-ea585409e6dd · outbound

This paper cites A comprehensive overview of large language models,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge A comprehensive overview of large language models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:54.998819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06972eeb-ca06-4ff8-96a4-ba832d9aa2d7 · outbound

This paper cites Large multi-modal models (lmms) as universal foundation models for ai-native wireless systems,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Large multi-modal models (lmms) as universal foundation models for ai-native wireless systems,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.002853Z

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Observation bf60784f-3e8e-4f06-893b-f6818d7f90ab · outbound

This paper cites Vqa: Visual question answering,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Vqa: Visual question answering,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.006684Z

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Unavailable: canonical work link unavailable.

Observation 8e902951-6ffc-4d99-bde6-8b6eb5c10277 · outbound

This paper cites A compre- hensive survey of deep learning for image captioning,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge A compre- hensive survey of deep learning for image captioning,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.010664Z

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Observation 9f796dd9-6554-413e-af51-b2670037d41e · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.014717Z

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Observation 8837d455-0c23-4d78-b6db-4816dd1c8fad · outbound

This paper cites Visual instruction tuning,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Visual instruction tuning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.018444Z

Source-reported events for the cited work

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Observation 2be4f92d-6463-4741-8798-d21e394be856 · outbound

This paper cites GPT-4 Technical Report.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge GPT-4 Technical Report

Reference 16

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Unavailable: canonical work link unavailable.

Observation c0926de7-720c-491c-8c17-0b7323666c40 · outbound

This paper cites Edge artificial intelligence for 6g: Vision, enabling technologies, and applications,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Edge artificial intelligence for 6g: Vision, enabling technologies, and applications,

Reference 17

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Observation f9e70f94-7a2b-4fe1-868f-e08fa9e2988f · outbound

This paper cites A Tutorial on Bayesian Optimization.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge A Tutorial on Bayesian Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.029926Z

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Unavailable: canonical work link unavailable.

Observation 81ec7e98-d851-438b-855e-536740e16fd5 · outbound

This paper cites Model inversion attacks that exploit confidence information and basic countermeasures,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Model inversion attacks that exploit confidence information and basic countermeasures,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.033958Z

Source-reported events for the cited work

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Observation 3f76b3e2-f246-46fd-8b2d-73ce5006c2c2 · outbound

This paper cites Edge ai: On-demand acceler- ating deep neural network inference via edge computing,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Edge ai: On-demand acceler- ating deep neural network inference via edge computing,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.037664Z

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Unavailable: canonical work link unavailable.

Observation dc7740ad-ab8d-4f10-a00c-00411f35938d · outbound

This paper cites Energy-aware inference offloading for dnn-driven applications in mobile edge clouds,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Energy-aware inference offloading for dnn-driven applications in mobile edge clouds,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.042248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a99302cb-62d8-431b-a548-379b6f3dbe12 · outbound

This paper cites Partial offloading scheduling and power allocation for mobile edge computing systems,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Partial offloading scheduling and power allocation for mobile edge computing systems,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.046316Z

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Unavailable: canonical work link unavailable.

Observation 2903b4ac-f2fb-434e-b0db-0baacc63c52c · outbound

This paper cites Swinjscc: Taming swin transformer for deep joint source-channel coding,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Swinjscc: Taming swin transformer for deep joint source-channel coding,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.050629Z

Source-reported events for the cited work

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Observation 391a34c2-e181-472f-940d-47eaa1514809 · outbound

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

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Token Communications: A Large Model-Driven Framework for Cross-modal Context-aware Semantic Communications

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.054983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fa37ed2-e45b-411a-aaec-319f84ceccce · outbound

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

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Toward intelligent communications: Large model empowered semantic communications,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.059414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8d5fbe3-7456-47f6-8766-93c95e6f79f1 · outbound

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

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Adaptive Semantic Token Selection for AI-native Goal-oriented Communications

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.063401Z

Source-reported events for the cited work

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Observation 5cbec1e3-5f98-4d16-b08c-664dc1959318 · outbound

This paper cites Token merging: Your vit but faster,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Token merging: Your vit but faster,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.067612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce9e014b-f888-447e-a67d-1c0268d2dd61 · outbound

This paper cites Adaptive sparse vit: towards learnable adaptive token pruning by fully exploiting self-attention,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Adaptive sparse vit: towards learnable adaptive token pruning by fully exploiting self-attention,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.071595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05e7da4c-85ce-4d39-bc0b-62b07eb19113 · outbound

This paper cites Token fusion: Bridging the gap between token pruning and token merging,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Token fusion: Bridging the gap between token pruning and token merging,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.075776Z

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Observation d0157331-70a5-455c-b0f0-a76c7a8d161d · outbound

This paper cites An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.080002Z

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Observation d3ffd459-c0a8-4ae1-9314-4b28c2d20b69 · outbound

This paper cites SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.083957Z

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Observation 73ebca85-8d4f-4e41-b7a2-ed2bdc893d93 · outbound

This paper cites Fit and prune: Fast and training- free visual token pruning for multi-modal large language models,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Fit and prune: Fast and training- free visual token pruning for multi-modal large language models,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.088193Z

Source-reported events for the cited work

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Observation 5e863751-ef3c-4a22-a7fd-ed6c37d212e2 · outbound

This paper cites Latency-aware neural architecture search with multi-objective bayesian optimization,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Latency-aware neural architecture search with multi-objective bayesian optimization,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.092339Z

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Observation 0171b01f-02c4-48e7-b190-15b3e81da84e · outbound

This paper cites Adversarial examples: Attacks and defenses for deep learning,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Adversarial examples: Attacks and defenses for deep learning,

Reference 34

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This paper cites Advflow: Incon- spicuous black-box adversarial attacks using normalizing flows,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Advflow: Incon- spicuous black-box adversarial attacks using normalizing flows,

Reference 35

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Observation 106ec965-75ce-4f17-9fd1-25f6559081b1 · outbound

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Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge On the computational complexity of self-attention,

Reference 36

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Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge A bayesian approach to constrained single-and multi-objective optimization,

Reference 37

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Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Classes of kernels for machine learning: a statistics perspective,

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Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Gaussian processes in machine learning,

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Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Multi-objective optimisation using evolutionary algorithms: an introduction,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.122599Z

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Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Multiobjective evolutionary algorithms: a comparative case study and the strength pareto approach,

Reference 41

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Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Multi-objective bayesian global optimization using expected hypervolume improvement gradient,

Reference 42

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Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge User preferences in bayesian multi- objective optimization: the expected weighted hypervolume improve- ment criterion,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.134164Z

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Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Differentiable expected hyper- volume improvement for parallel multi-objective bayesian optimization,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.137910Z

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Observation d3c824af-cfca-43b4-af18-d18764725115 · outbound

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Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Single-and multiobjective evolutionary optimization assisted by gaussian random field metamodels,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.142021Z

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Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Masked autoencoders are scalable vision learners,

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Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Learning transferable visual models from natural language supervision,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.149848Z

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Observation 5480f16a-4b33-470a-b37c-1274e0c10ea9 · outbound

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Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Distribution of points in a cube and approximate evaluation of integrals,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.153575Z

Source-reported events for the cited work

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Observation e6860066-013d-4e04-ae6f-da9810e33dfe · outbound

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Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Imagenet: A large-scale hierarchical image database,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.157293Z

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Observation f93ac7bc-28e3-4cca-858c-a083444112d2 · outbound

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Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Gqa: A new dataset for real- world visual reasoning and compositional question answering,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.161235Z

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Observation 6ba1e18c-011e-4198-ad50-a1365fea7f53 · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering,.

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Learn to explain: Multimodal reasoning via thought chains for science question answering,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.165483Z

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Observation 92a1b55c-484d-44dc-a888-1868be00e2bd · outbound

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Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge Image quality assessment: from error visibility to structural similarity,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T18:26:55.169512Z

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Pith citing papers

Observation 7daf5105-413e-462e-a8cd-fa4fa92cac5d · inbound

AirTF: Over-the-Air Token Fusion for Task-Oriented Multi-Modal Token Communications cites this paper.

AirTF: Over-the-Air Token Fusion for Task-Oriented Multi-Modal Token Communications Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T04:55:08.078807Z

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