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Paper Citation Record · LEDGER

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink

As of 13 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2607.13114.

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

pith.paper-citation-record.v1
2607.13114 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:27:27.449293Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

57 of 57 outbound references displayed

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External citation measurements

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Outbound references

Observation 7eed0457-0186-4429-858f-9433b6cfcea6 · outbound

This paper cites Toward 6G networks: Use cases and technologies,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Toward 6G networks: Use cases and technologies,

Reference 1

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Observation 9eb38cb8-6f8a-408b-851a-e35684b9c638 · outbound

This paper cites On the road to 6G: Visions, requirements, key technologies, and testbeds,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink On the road to 6G: Visions, requirements, key technologies, and testbeds,

Reference 2

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Observation 68ffad01-ebbb-466f-904f-26e0e844c7eb · outbound

This paper cites Semantic communications for future internet: Fundamentals, applications, and challenges,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Semantic communications for future internet: Fundamentals, applications, and challenges,

Reference 3

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Observation 2d3a29d2-ceef-40f7-9015-e541af7b05fe · outbound

This paper cites 5G; NR; nr and ng-ran overall description (release 19),.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink 5G; NR; nr and ng-ran overall description (release 19),

Reference 4

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Observation 8458bfd3-ba4f-4735-9a9f-fe0718fd491c · outbound

This paper cites AI-on-RAN: Enabling monetizable differ- entiated connectivity for AI,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink AI-on-RAN: Enabling monetizable differ- entiated connectivity for AI,

Reference 5

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source=pdf_text observed=2026-08-02T06:27:22.039566Z digest=sha256:a4657778b1e2e291d7f63f606cd7992a687ea5320160f3c4bc77fad910a5d5ef

Observation 780e611d-a448-4933-87f2-7afa3e7d13e6 · outbound

This paper cites The JPEG still picture compression standard,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink The JPEG still picture compression standard,

Reference 6

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Observation c2c00b5c-80de-4ac6-a1f0-a110d4150005 · outbound

This paper cites Overview of the h. 264/avc video coding standard,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Overview of the h. 264/avc video coding standard,

Reference 7

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source=pdf_text observed=2026-08-02T06:27:22.215009Z digest=sha256:e91753ee5a10e1a6d500f9bdb80461b52b3b6514ec3279ea3bd8ec612a2fdda9

Observation ea49dd0d-5980-4429-8a36-470cdf93b3a4 · outbound

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

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Beyond transmitting bits: Context, seman- tics, and task-oriented communications,

Reference 8

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source=pdf_text observed=2026-08-02T06:27:22.315564Z digest=sha256:6e6e240c7204b2db8b73c8df153691d3fd1beb41d6216af732842e25922500a3

Observation 87f0fcc3-389c-49f7-adeb-e2f8f69c596d · outbound

This paper cites Error detecting and error correcting codes,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Error detecting and error correcting codes,

Reference 9

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source=pdf_text observed=2026-08-02T06:27:22.404549Z digest=sha256:b97e3af37c07fdb96508b238724a9acc63761774c1d6e01a755691307a75449f

Observation dae5f9fe-477f-47ad-b215-39507a9b1900 · outbound

This paper cites Convolutional codes and their performance in communica- tion systems,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Convolutional codes and their performance in communica- tion systems,

Reference 10

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source=pdf_text observed=2026-08-02T06:27:22.580809Z digest=sha256:d1aabf43e1ff760df3867d3ba4e09251ddcfa41d69d8c62e81b9379f9b4f0c31

Observation 3b86ed17-bd97-4339-94a4-314109207977 · outbound

This paper cites Near shannon limit error- correcting coding and decoding: Turbo-codes. 1,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Near shannon limit error- correcting coding and decoding: Turbo-codes. 1,

Reference 11

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source=pdf_text observed=2026-08-02T06:27:22.703788Z digest=sha256:60a836ce5253630b44ea02aa937eb7a201d69d50149858b0c80af4b9c8f1d5ff

Observation 010aeb1d-2db1-4930-817b-176b9185dbf5 · outbound

This paper cites Design of capacity-approaching irregular low-density parity-check codes,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Design of capacity-approaching irregular low-density parity-check codes,

Reference 12

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Observation f6b9916f-9cc3-4589-8f99-ef2ade9975ab · outbound

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

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Semantics-empowered communication for networked intelligent systems,

Reference 13

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source=pdf_text observed=2026-08-02T06:27:22.895843Z digest=sha256:f762d0ee581a79a6fdd04790d37f773e9d7bedf87854defcf28538e39fa4d4c0

Observation d2745b21-c933-4149-995a-8288d7c5dc97 · outbound

This paper cites A theory of semantic communication,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink A theory of semantic communication,

Reference 14

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source=pdf_text observed=2026-08-02T06:27:22.963490Z digest=sha256:28bb3bbcfcd4e67aeed245fb328b8356b37be80b3d96caf033809238e8df6054

Observation 47539026-5703-4a19-9a82-d70c60d3685e · outbound

This paper cites Deep learning enabled semantic communication systems,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Deep learning enabled semantic communication systems,

Reference 15

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source=pdf_text observed=2026-08-02T06:27:23.048784Z digest=sha256:79f28238d0e6e3ec0da89e626d08a8f5599ddd4b8aadd8bb2a33dcf1419e8b05

Observation f4a032f7-99c3-4ee9-a21d-0702dc5ce4eb · outbound

This paper cites Semantic communication systems for speech transmission,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Semantic communication systems for speech transmission,

Reference 16

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source=pdf_text observed=2026-08-02T06:27:23.157518Z digest=sha256:8e868294e94a7cf1c81e0a8306e71d8382f840cfdfb975fda33495e1e855b7dd

Observation 6e70f4b3-a1de-4e91-8d96-ce7040d78c23 · outbound

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

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Deep joint source- channel coding for wireless image transmission,

Reference 17

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Observation e225f8d1-3f3c-43dc-adf8-367c87b9d8a3 · outbound

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

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Deep joint source-channel coding for semantic communications,

Reference 18

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source=pdf_text observed=2026-08-02T06:27:23.339320Z digest=sha256:e5bb6f1b68bd6f9545de18808c3890b28d46b3b0cb87570060cbc487409efbe8

Observation 6eb79257-0332-4b7a-829e-07892206098e · outbound

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

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Generative joint source-channel coding for semantic image transmission,

Reference 19

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Observation 5fd11ef0-f2d4-4284-95a8-e25a75d3e726 · outbound

This paper cites ResiTok: A Resilient Tokenization-Enabled Framework for Ultra-Low-Rate and Robust Image Transmission.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink ResiTok: A Resilient Tokenization-Enabled Framework for Ultra-Low-Rate and Robust Image Transmission

Reference 20

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source=pdf_text observed=2026-08-02T06:27:23.618024Z digest=sha256:d3bee461b37f0d98cd500611afd7bb384ee797148f683c030644018a9433abeb

Observation 20cd6bec-df81-48d8-bc06-e92eb87dcef6 · outbound

This paper cites OFDM-based digital semantic communication with importance awareness,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink OFDM-based digital semantic communication with importance awareness,

Reference 21

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Observation b80c96c1-24e2-4565-81ba-4b89356f7516 · outbound

This paper cites From analog to digital semantic communications: Architectures, challenges, and future directions,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink From analog to digital semantic communications: Architectures, challenges, and future directions,

Reference 22

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Observation 7e02722b-db75-46b9-8952-5970068330df · outbound

This paper cites Wireless semantic commu- nications for video conferencing,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Wireless semantic commu- nications for video conferencing,

Reference 23

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Observation 3c26000c-921b-4ecb-9b6f-ad720360289c · outbound

This paper cites A survey on semantic communication networks: Architecture, security, and privacy,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink A survey on semantic communication networks: Architecture, security, and privacy,

Reference 24

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source=pdf_text observed=2026-08-02T06:27:24.084753Z digest=sha256:5fc8262c5c6ed6bcb8c57d7931d2a908eae1c35fd8e93928c7d60f30634a82eb

Observation abec0179-4087-4a9f-a77e-2158e498f38b · outbound

This paper cites Gen- erative semantic communications with foundation models: Perception- error analysis and semantic-aware power allocation,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Gen- erative semantic communications with foundation models: Perception- error analysis and semantic-aware power allocation,

Reference 25

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Observation c6d23ef3-2d8d-459a-b180-bcbc370c6f76 · outbound

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

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Latency-aware generative semantic communications with pre-trained diffusion models,

Reference 26

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Observation cf9e6974-dece-46a5-ac5f-87605eab9a6d · outbound

This paper cites Data-importance-aware power allocation for adaptive real-time communication in computer vision applications,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Data-importance-aware power allocation for adaptive real-time communication in computer vision applications,

Reference 27

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Observation 9b274797-8a5b-45d3-9063-79d5868cfe5d · outbound

This paper cites AI-native 6G empowering intelligent RAN with accelerated compute,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink AI-native 6G empowering intelligent RAN with accelerated compute,

Reference 28

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Observation 81fa15c3-00be-4618-8be4-d799d0022c71 · outbound

This paper cites Big AI models for 6G wireless networks: Opportunities, challenges, and research directions,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Big AI models for 6G wireless networks: Opportunities, challenges, and research directions,

Reference 29

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Observation 90b91685-ac2b-4a5b-9566-b01f8afb382d · outbound

This paper cites Large generative AI models for telecom: The next big thing?.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Large generative AI models for telecom: The next big thing?

Reference 30

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Observation cf4e66ac-153f-4e2f-93d0-26443e8f2fa9 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Learning transferable visual models from natural language supervision,

Reference 31

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Observation 86fc3c14-5a10-4b0d-a30f-ad5fa3a42000 · outbound

This paper cites Language mod- els are few-shot learners,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Language mod- els are few-shot learners,

Reference 32

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Observation caf6e9a6-1267-41fe-8de9-f02393f3537d · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink High-resolution image synthesis with latent diffusion models,

Reference 33

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Observation 312b1590-8b45-48fd-ab1d-25434701a59d · outbound

This paper cites Adding conditional control to text-to-image diffusion models,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Adding conditional control to text-to-image diffusion models,

Reference 34

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Observation de9465d7-4b83-4977-bbcc-cbf915aa62ed · outbound

This paper cites Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild,

Reference 35

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Observation fb27a22c-61f2-4b9e-94a5-4ed018f7fc6e · outbound

This paper cites Diffbir: Toward blind image restoration with generative diffusion prior,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Diffbir: Toward blind image restoration with generative diffusion prior,

Reference 36

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source=pdf_text observed=2026-08-02T06:27:25.436648Z digest=sha256:a7c543692e01ad52c47047b2304d070786c506c34fe80a7ec0529ca87a687dba

Observation 8f1aaadc-4a36-4217-9c65-8e9df9ba8c48 · outbound

This paper cites Semantic image inpainting with deep generative models,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Semantic image inpainting with deep generative models,

Reference 37

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source=pdf_text observed=2026-08-02T06:27:25.547434Z digest=sha256:a9d5f1e4e46125a19536c02343767628b61b6d07d7567f4ea8fe4635886eeeb1

Observation cf091066-a256-4a52-9b80-45fe42a557f5 · outbound

This paper cites Generative im- age inpainting with contextual attention,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Generative im- age inpainting with contextual attention,

Reference 38

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source=pdf_text observed=2026-08-02T06:27:25.630649Z digest=sha256:ebfdde0c022540cdc008b45aa75a42bb901ba0fcdd66cf48f3f7b2309bcffd56

Observation 22884396-d22b-462d-9bac-777fd0a5c973 · outbound

This paper cites Tech- niques for measuring quality of experience,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Tech- niques for measuring quality of experience,

Reference 39

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source=pdf_text observed=2026-08-02T06:27:25.756197Z digest=sha256:aedce0fddcc52c1937c6b4013cde9f029785c9c0fd8d7b24d2d637c6c2ca01de

Observation f12d4750-2969-4ca9-a92d-7180e3e1826d · outbound

This paper cites Towards a QoE model to evaluate holographic augmented reality devices,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Towards a QoE model to evaluate holographic augmented reality devices,

Reference 40

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source=pdf_text observed=2026-08-02T06:27:25.864750Z digest=sha256:d2174cfc5dadf92dbd298dcf5ae8df9fa0a2a594b35ff2266bc17d1134aaaeb2

Observation 3b6104b2-87b9-46be-9a89-859951315d22 · outbound

This paper cites QoE-driven data communication framework for consumer electronics in tele-healthcare system,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink QoE-driven data communication framework for consumer electronics in tele-healthcare system,

Reference 41

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source=pdf_text observed=2026-08-02T06:27:25.946782Z digest=sha256:e76c33a6b35e93d117bad54186d7b24c1089c16f372613ab44db5ce4b413c834

Observation 4f1c0466-e902-4ca3-9ccb-d1fe5976aaa6 · outbound

This paper cites QoE in video transmission: A user experience-driven strategy,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink QoE in video transmission: A user experience-driven strategy,

Reference 42

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source=pdf_text observed=2026-08-02T06:27:26.054752Z digest=sha256:1597f41be0494376fecb60a97379614f820225e01ef9b6c6674190f249cf5916

Observation 429b6408-17e5-4f1f-bd78-aed44d5140df · outbound

This paper cites QoE-oriented mobile virtual reality game in distributed edge networks,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink QoE-oriented mobile virtual reality game in distributed edge networks,

Reference 43

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source=pdf_text observed=2026-08-02T06:27:26.165362Z digest=sha256:1ec05d91b6e1a8dc8f0e9f90d55cd84a04e54e2509bf5704ca411a0ed1f1f5e1

Observation 6def3430-dc46-4bda-9d68-7cffb751acbe · outbound

This paper cites Survey on QoE\QoS correlation models for multimedia services,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Survey on QoE\QoS correlation models for multimedia services,

Reference 44

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source=pdf_text observed=2026-08-02T06:27:26.313608Z digest=sha256:70c2959d76eb46c415bdfa47804aa924b0d7cdc5a3f2173c5f6e791a947a43d6

Observation 07445499-eee8-42f1-8b87-b59f9d486a58 · outbound

This paper cites Ber comparison between convolu- tional, turbo, ldpc, and polar codes,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Ber comparison between convolu- tional, turbo, ldpc, and polar codes,

Reference 45

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source=pdf_text observed=2026-08-02T06:27:26.454754Z digest=sha256:db4c7c1c07fe5caeefd9d1c73dce12ae34d42f1e69728c27ac29ef955e72931e

Observation de68462a-d09b-44fd-9b28-268b307bd36e · outbound

This paper cites To code, or not to code: Lossy source-channel communication revisited,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink To code, or not to code: Lossy source-channel communication revisited,

Reference 46

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source=pdf_text observed=2026-08-02T06:27:26.561012Z digest=sha256:32a257a47ef9ce39ad71f83bbfa8d3cc6e665dbf7cf8787d5608e8070631262c

Observation ddb8ed4f-89b9-4cf1-9098-04a6c3653132 · outbound

This paper cites Blind audio bandwidth extension: A diffusion-based zero-shot approach,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Blind audio bandwidth extension: A diffusion-based zero-shot approach,

Reference 47

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source=pdf_text observed=2026-08-02T06:27:26.671034Z digest=sha256:d2b38a5b626198528e77125ebd29253f0a1fcd097f2042a9ed5d0aff61bf09c1

Observation 27cc7474-8997-46ce-91b0-da6bd6b5b03f · outbound

This paper cites Diffvsr: Revealing an effective recipe for taming robust video super-resolution against complex degradations,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Diffvsr: Revealing an effective recipe for taming robust video super-resolution against complex degradations,

Reference 48

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source=pdf_text observed=2026-08-02T06:27:26.729560Z digest=sha256:a7370393c835f87207f497775fa9d75ea6e2be08913ddb838367c60a742382cb

Observation 864fe1f5-a1f9-4c40-b490-583a8c19205c · outbound

This paper cites Structured IB: Improving information bottleneck with structured feature learning,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Structured IB: Improving information bottleneck with structured feature learning,

Reference 49

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source=pdf_text observed=2026-08-02T06:27:26.789432Z digest=sha256:e1aa44b88c4702702d7088977d68bdfca19caed4234cf4cc4d91fdbb83ec3897

Observation db2fdf4b-1d85-4642-94b4-61cde5fb5615 · outbound

This paper cites Goldsmith,Wireless Communications.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Goldsmith,Wireless Communications

Reference 50

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source=pdf_text observed=2026-08-02T06:27:26.839877Z digest=sha256:a0339d8465d5474e76f65d89c9d3268650e102ca55ee7daebfa018caf023f636

Observation b02d7e14-d9bb-469f-9827-18d3341b3a67 · outbound

This paper cites Making a “completely blind.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Making a “completely blind

Reference 51

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source=pdf_text observed=2026-08-02T06:27:26.906304Z digest=sha256:4aee28943910433739a8adf3c9350495d805831f9ff3542b8155b570492be7ad

Observation 588aad02-4ae9-478f-ad3c-f5b177699298 · outbound

This paper cites Semantic-Aware Power Allocation for Generative Semantic Communications with Foundation Models.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Semantic-Aware Power Allocation for Generative Semantic Communications with Foundation Models

Reference 52

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source=pdf_text observed=2026-08-02T06:27:26.957396Z digest=sha256:b5af74d90b3c7a007c5ebaa9b93f7dfe28bfdfe27553eeec77bb3936ba9659a8

Observation 119eeb33-6a5d-4a18-9f37-3a29f8f2a9b7 · outbound

This paper cites NR; physical layer procedures for data (release 17),.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink NR; physical layer procedures for data (release 17),

Reference 53

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source=pdf_text observed=2026-08-02T06:27:27.016423Z digest=sha256:a0cfcfe700f3e157b2ea7ccab93ebdcefe7d08b62be97f94f5728f4c578c6c31

Observation 217efd2b-fcb3-437b-9ced-0941640291d4 · outbound

This paper cites Boyd and L.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Boyd and L

Reference 54

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source=pdf_text observed=2026-08-02T06:27:27.121328Z digest=sha256:4b7166cb13691b51a3532ed18259df9de13b1d6698d75c613949e2e94e5ccd82

Observation e29f3e50-c1e0-4ee6-be4b-a2e0ebbb219f · outbound

This paper cites an unresolved cited work.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-02T06:27:27.237496Z digest=sha256:5c67d28146bf5cc685f65d409631c35fee687819650bc1b40273c0e0149eb913

Observation 9bcad1ca-be34-44d4-87a3-2a225e0fc07b · outbound

This paper cites NR; multiplexing and channel coding,.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink NR; multiplexing and channel coding,

Reference 56

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source=pdf_text observed=2026-08-02T06:27:27.360484Z digest=sha256:cc6e8cc24c2cb528bb833e18b1b6442e09d5ffa086603c69678062be2e6541e2

Observation e2665264-6a5c-4f79-afe7-c9550fc56948 · outbound

This paper cites grand challenges in IoT.

LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink grand challenges in IoT

Reference 1990

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source=pdf_text observed=2026-08-02T06:27:27.449293Z digest=sha256:e16a0456629d45c9a68f1b3cdabb48c8bc4b49c32dfd046fb5091938c1322f09

Pith citing papers

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