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Paper Citation Record · LEDGER

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul

As of 4 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2606.04840.

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

pith.paper-citation-record.v1
2606.04840 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T04:46:52.944704Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

  • verified exact24
  • verified fuzzy0
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ce486f98-0eda-4fea-9f84-1a361e1bb182 · outbound

This paper cites 6G Drivers and Vision,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul 6G Drivers and Vision,

Reference 1

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source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:894fc84d75b8ac8f2cb5fcb1d2453dbed0e2843841a524a14d0c267838a78673

Observation ee8b853d-66b2-4d74-ad84-2c4c7b10799f · outbound

This paper cites Exploring the key technologies and applications of 6G wireless communication network.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Exploring the key technologies and applications of 6G wireless communication network

Reference 2

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arxiv_id, observed 2026-06-28T06:21:43.139663Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:50d1d37be7a4e0e2a5b6bf06dd92d156b5522f04214d8ad977071121ab0802fb

Observation 64c4d23f-abd3-470a-9b5d-6093db7bd023 · outbound

This paper cites 6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul 6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies,

Reference 3

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arxiv_id, observed 2026-06-28T06:21:43.186685Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:019cef8c49d88b0f97c9c060364f73c05a2c68622ffdc2dd9da83dbf463596e8

Observation db587f65-a3d8-4d29-8871-cb74e08cc438 · outbound

This paper cites Spectral Efficiency Comparison Between Analog and Digital RoF for Mobile Fronthaul Transmission Link,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Spectral Efficiency Comparison Between Analog and Digital RoF for Mobile Fronthaul Transmission Link,

Reference 4

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arxiv_id, observed 2026-06-28T06:21:43.186885Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:7299e9d280ab5ed88241fae21cab09f008fabbd898b2a00a690ab8d5f884e93d

Observation 382becc5-87f3-4514-af8a-70293574b636 · outbound

This paper cites Analog vs Digital Radio-Over-Fiber: A Spectral Efficiency Debate From the SNR Perspective,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Analog vs Digital Radio-Over-Fiber: A Spectral Efficiency Debate From the SNR Perspective,

Reference 5

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arxiv_id, observed 2026-06-28T06:21:43.158132Z

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source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:6ad18487639bd84edde557548164cea8554bf9cd2348392b92dc704ccf5be26b

Observation 7920046e-e44b-42a9-8e4d-fb6d7d670260 · outbound

This paper cites Things You Should Know About Fronthaul,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Things You Should Know About Fronthaul,

Reference 6

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arxiv_id, observed 2026-06-28T06:21:43.189948Z

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source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:6fe2720743d36b850a11a7db7eadcdabf223ff611a98c6cf4b4701b4387bf66b

Observation 55811ce9-12cd-43ff-abb0-17dcddf2bbcb · outbound

This paper cites CPRI Specification V7 0: Interface Specification,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul CPRI Specification V7 0: Interface Specification,

Reference 7

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source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:2cacf5de9a7ee20ca72a480e8bf46159f1a12af6830fbf64b92c20333ea3867a

Observation 6f1b88fd-dfec-47f4-bdb3-c35f3379ffbb · outbound

This paper cites eCPRI Specification V2 0,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul eCPRI Specification V2 0,

Reference 8

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source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:293c0dd5055d8c6b6fdfd5c4558a75ae2dcac96ee0b164b9244eb64952a0a3a0

Observation 9657be3e-1d15-4bda-8f12-7fa5b67c5dbe · outbound

This paper cites Available: https://www.cpri.info/downloads/eCPRI_v_2.0_2019_05_10c.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Available: https://www.cpri.info/downloads/eCPRI_v_2.0_2019_05_10c

Reference 9

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source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:072ca8286dacb91815eda58de9795650410ee75c6e0670ad42ffd3f6a36bb63d

Observation 7a204547-9579-4e67-8478-acf22d0b7361 · outbound

This paper cites Efficient Mobile Fronthaul via DSP-Based Channel Aggregation,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Efficient Mobile Fronthaul via DSP-Based Channel Aggregation,

Reference 10

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arxiv_id, observed 2026-06-28T06:21:43.178816Z

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source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:ac4b307515769f01373feb1813e8b2e20cf587e0c5df5ff9d0ae6299da1347df

Observation 2cf022a8-d553-469a-8c65-0882bf262489 · outbound

This paper cites 314-Tbit/s (576 × 380.16-MHz 5G NR OFDM Signals) SDM/WDM/SCM-Based IF-over-Fiber Transmission for Analog Mobile Fronthaul,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul 314-Tbit/s (576 × 380.16-MHz 5G NR OFDM Signals) SDM/WDM/SCM-Based IF-over-Fiber Transmission for Analog Mobile Fronthaul,

Reference 11

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source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:3755360c7282af066d1b0796bfa80c592ad7166f833b913c33bf2196cacdb7e1

Observation 265cd934-33fd-4237-9f1a-2d282142f8b8 · outbound

This paper cites 10 51-Tbit/s IF-over-Fibre Mobile Fronthaul Link Using SDM/WDM/SCM for Accommodating Ultra High-Density Antennas in Beyond-5G Mobile Communication Systems,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul 10 51-Tbit/s IF-over-Fibre Mobile Fronthaul Link Using SDM/WDM/SCM for Accommodating Ultra High-Density Antennas in Beyond-5G Mobile Communication Systems,

Reference 12

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source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:91ceb8510862d5bede143b651154dc6929acf8836a3d2f4a253c626d0d74dfea

Observation 3066d80e-9a83-4a06-afdb-594f61dac188 · outbound

This paper cites 1 032-Tb/s CPRI-Equivalent Rate IF-Over- Fiber Transmission Using a Parallel IM/PM Transmitter for High-Capacity Mobile Fronthaul Links,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul 1 032-Tb/s CPRI-Equivalent Rate IF-Over- Fiber Transmission Using a Parallel IM/PM Transmitter for High-Capacity Mobile Fronthaul Links,

Reference 13

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arxiv_id, observed 2026-06-28T06:21:43.164689Z

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source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:f29acd6a60683c25bdd996fd9492c9a356973a94f77a45e862712ddcd2f542a1

Observation f881acb3-7f0c-45a3-be30-751a909bdb9d · outbound

This paper cites 1 53-Tbps CPRI-Equivalent Data Rate Transmission with Kramers-Kronig Receiver for Mobile Fronthaul Links,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul 1 53-Tbps CPRI-Equivalent Data Rate Transmission with Kramers-Kronig Receiver for Mobile Fronthaul Links,

Reference 14

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arxiv_id, observed 2026-06-28T06:21:43.158601Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:e1e2f8d69c0f062bc6efc119d8b4048d6235b0d8d18fbba1a02dd558089e3f84

Observation c33fa844-1bc2-4b6e-9690-68a3910bb04a · outbound

This paper cites 5G; NR; Base Station (BS) radio transmission and reception,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul 5G; NR; Base Station (BS) radio transmission and reception,

Reference 15

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source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:483aa6b54dc1f368853d2e0ff08e60a33ad2f86cc79557538647a9d3e58b8b90

Observation b0a58939-1b3d-48af-baf5-842f1a0d6055 · outbound

This paper cites 300 GHz OFDM electronic terahertz wireless transmission based on PS and DFT-S,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul 300 GHz OFDM electronic terahertz wireless transmission based on PS and DFT-S,

Reference 16

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arxiv_id, observed 2026-06-28T06:21:43.155178Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:d24b32d17704bec06897e4a2f50369a5cfbc7e0a9660ffb5c25c7947df62e19f

Observation db754458-94e7-4ddb-8ce7-ca41c0e11f9f · outbound

This paper cites Enabling Optical Network Technologies for 5G and Beyond,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Enabling Optical Network Technologies for 5G and Beyond,

Reference 17

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arxiv_id, observed 2026-06-28T06:21:43.184281Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:ec0523aba8827b15e216f05946204702f73b2745f123b23d0383356891f3c5da

Observation 6be0079d-0ade-4893-8d1e-a3131f9e3b12 · outbound

This paper cites Hybrid Digital-Analog Radio-over-Fiber (DA-RoF) Modulation and Demodulation Achieving a SNR Gain over Analog RoF of >10 dB at Halved Spectral Efficiency,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Hybrid Digital-Analog Radio-over-Fiber (DA-RoF) Modulation and Demodulation Achieving a SNR Gain over Analog RoF of >10 dB at Halved Spectral Efficiency,

Reference 18

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doi, observed 2026-06-28T06:21:43.152260Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:efa9fed60dd6b21fda3a082329cd425f556603a66eb1d947d7a5e1a2fac2323c

Observation 1b3c1354-eec7-4602-aa79-5f8bd36fff6a · outbound

This paper cites Cascaded digital–analog radio-over-fiber for efficient SNR scaling at >10 dB per extra bandwidth,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Cascaded digital–analog radio-over-fiber for efficient SNR scaling at >10 dB per extra bandwidth,

Reference 19

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:5224aa87a36a01cdca63b46e35b34bd5051c6c04bb69714ab482e03d3a72eff5

Observation 88944b0e-611d-4796-9f04-ae82b8e1b8c4 · outbound

This paper cites 1.92-Tb/s CPRI-Equivalent Rate Direct Detection Transmission based on ANN Pre- Equalization for Digital-Analog Radio-over-Fiber Mobile Fronthaul,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul 1.92-Tb/s CPRI-Equivalent Rate Direct Detection Transmission based on ANN Pre- Equalization for Digital-Analog Radio-over-Fiber Mobile Fronthaul,

Reference 20

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doi, observed 2026-06-28T06:21:43.173643Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:63415a34a9629b34966cc45f8a7958066f0758dd7e3075a653f5eb7098b04908

Observation 31ae98c4-5ec7-4006-970c-1ae7a6dc4c31 · outbound

This paper cites Sensitivity-Improved and Dispersion- Tolerant Lite-Coherent Hybrid Receiver for Digital-Analog Radio-over-Fiber Mobile Fronthaul,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Sensitivity-Improved and Dispersion- Tolerant Lite-Coherent Hybrid Receiver for Digital-Analog Radio-over-Fiber Mobile Fronthaul,

Reference 21

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arxiv_id, observed 2026-06-28T06:21:43.179176Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:cf1cb69fc0b10ae4c2d75ce65799bcee7d09c8dd02031b3894ee54b86a2512a0

Observation 4cff43f3-e6bd-450b-a0b3-498d17871608 · outbound

This paper cites Cloned-Comb Enabled Communication & Clock Distribution Integrated Fronthaul Architecture,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Cloned-Comb Enabled Communication & Clock Distribution Integrated Fronthaul Architecture,

Reference 22

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source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:20dbf45e572245d80b0d53c01b3db359253b0434a7e0329c1e000dad05f22936

Observation c45fc53b-8743-487e-9385-3c3b6baf8082 · outbound

This paper cites 1λ 10 5Tb/s CPRI-Equivalent Rate 1024-QAM Transmission via Self-Homodyne Digital-Analog Radio-over-Fiber Architecture.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul 1λ 10 5Tb/s CPRI-Equivalent Rate 1024-QAM Transmission via Self-Homodyne Digital-Analog Radio-over-Fiber Architecture

Reference 23

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source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:ff0539491e1111dd47317fcb904f066e68a562d0d3307e015d4c8089aba14ef6

Observation 5381ed08-e879-47ef-a3b8-771d4f292221 · outbound

This paper cites High-fidelity digital–analog hybrid RoF fronthaul link enabled by nonlinear radio signal shaping,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul High-fidelity digital–analog hybrid RoF fronthaul link enabled by nonlinear radio signal shaping,

Reference 24

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doi, observed 2026-06-28T06:21:43.198468Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:8809d29463b6b400d06d839ea944a968035e615761bf58c2fefc10440ae17426

Observation aeb04220-0598-4a47-af99-da11801cb839 · outbound

This paper cites Broadband Coaxial S -Parameter Measurements for Cryogenic Quantum Technologies.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Broadband Coaxial S -Parameter Measurements for Cryogenic Quantum Technologies

Reference 25

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arxiv_id, observed 2026-06-28T06:21:43.211118Z

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source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:0511876f0a1d33507f3322c3bd62043a733ac47479bdd9547d4dbc5850f04406

Observation ee766a3f-fee2-4ea1-9514-8f8fa3d86709 · outbound

This paper cites End-to-End Learning for OFDM: From Neural Receivers to Pilotless Communication,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul End-to-End Learning for OFDM: From Neural Receivers to Pilotless Communication,

Reference 26

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arxiv_id, observed 2026-06-28T06:21:43.181723Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:1e0562548e99e1f2a457bb486a42aa13514b64146d40170c79807e6090f0ffd7

Observation 5e040447-e926-411e-9331-4df866cd6655 · outbound

This paper cites End-to-end learning of communications systems without a channel model,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul End-to-end learning of communications systems without a channel model,

Reference 27

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source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:7d7ab93a3394090c2c7f228985db9cfa064f20cf52733f41f796060067c4d94f

Observation 21dc33b1-6efb-4553-87be-9de6875f2c98 · outbound

This paper cites Intelligent End-to-End Nonlinear Constellation Auto-Optimization in W-band Fiber-MMW Integrated Transmission for 6G Access,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Intelligent End-to-End Nonlinear Constellation Auto-Optimization in W-band Fiber-MMW Integrated Transmission for 6G Access,

Reference 28

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source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:2840c6b793db5856c394c57f14281f783334130c5bb14288e33e8490db1fefb6

Observation f65fadb6-22a5-42df-bdcb-23be6b6c2fdd · outbound

This paper cites Model-Driven Deep-Learning for End- to-End Optimization in Fiber-Terahertz Communication Systems.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Model-Driven Deep-Learning for End- to-End Optimization in Fiber-Terahertz Communication Systems

Reference 29

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source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:dde8bd3b3c3f278ba6bef68408e8f706c08348a1b828f2b5f7bb96c15e50465a

Observation 04e05089-92bd-4700-bd73-e8d7f550d361 · outbound

This paper cites Model-Free End-to-End Deep Learning of Joint Geometric and Probabilistic Shaping for Optical Fiber Communication in IM/DD System.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Model-Free End-to-End Deep Learning of Joint Geometric and Probabilistic Shaping for Optical Fiber Communication in IM/DD System

Reference 30

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source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:d9ba2cc7565ed7598c675fe1dc4780d5ad902c7c5be37e5e7d64d6eba6bb186d

Observation 1fa42330-1a93-4825-bfd5-168e6b61bcd4 · outbound

This paper cites Neural Architecture Search with Reinforcement Learning.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Neural Architecture Search with Reinforcement Learning

Reference 31

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local_arxiv, observed 2026-06-28T06:21:43.175376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:3e7ca1eed6ae5e52cda7a39f59488bd5b00ffc737981d5795147ea9f134bb523

Observation 8da83842-72a5-46d8-83e8-00662914e9a6 · outbound

This paper cites Learning Dexterous In-Hand Manipulation.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Learning Dexterous In-Hand Manipulation

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-06-28T06:21:43.194734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:b04d2045922dd1ef5edcb3f1172572191ecca72ac0e0f54ccc67f0d133514bec

Observation 38e7ec1c-c618-4ac4-8ed3-a74c930faa87 · outbound

This paper cites Reinforcement Learning: An Introduction,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Reinforcement Learning: An Introduction,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-06-28T04:46:52.944704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:c23be5eac51e584d62c0be371c76c03e400214d23c7b1aacb9fc26cd43315933

Observation b3138361-f4b4-4dba-a5dc-93249eef33f4 · outbound

This paper cites Over-the-fiber Digital Predistortion Using Reinforcement Learning,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Over-the-fiber Digital Predistortion Using Reinforcement Learning,

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T06:21:43.172917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:a6f89ee502852a367ff40cdfdf88616b9909e9134f67f562ab02aeaa23e0eab6

Observation c9754a21-552d-43a1-b48f-4eef904f98a1 · outbound

This paper cites Reinforcement learning-based complex-valued space-time MIMO 2D-LSTM nonlinear equalizer for photonics-assisted THz indoor optical wireless access networks,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Reinforcement learning-based complex-valued space-time MIMO 2D-LSTM nonlinear equalizer for photonics-assisted THz indoor optical wireless access networks,

Reference 35

Resolution
verified exact
doi, observed 2026-06-28T06:21:43.144824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:eccc8d31e2d4a8af2e153766ed6259d3294e3e334c90be9bdb2cca01baf5821f

Observation d695c2ca-041d-4372-8392-f5a7a24bfd9e · outbound

This paper cites Optimization of Delta-Sigma Modulator Based on Reinforcement Learning for Mobile Fronthaul,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Optimization of Delta-Sigma Modulator Based on Reinforcement Learning for Mobile Fronthaul,

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-06-28T06:21:43.142586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:e492909f466c331a2e01d6ce0576bc9370005f9b847b3a07159fb401bd0fe6e5

Observation 6baf84bd-7f2b-4ab7-9fb6-c4974de0cbc1 · outbound

This paper cites Deep Reinforcement Learning Based Joint Allocation Scheme in a TWDM-PON-Based mMIMO Fronthaul Network,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Deep Reinforcement Learning Based Joint Allocation Scheme in a TWDM-PON-Based mMIMO Fronthaul Network,

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-06-28T06:21:43.181618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:c81c766bb133eba12e1b6e825d0dce6051a7746b1d018dd23d0eebd0fbb8ca4e

Observation 022e3c45-3695-4142-9b6c-44649038060e · outbound

This paper cites Coherent digital-analog radio-over- fiber (DA-RoF) system with a CPRI-equivalent data rate beyond 1 Tb/s for fronthaul,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Coherent digital-analog radio-over- fiber (DA-RoF) system with a CPRI-equivalent data rate beyond 1 Tb/s for fronthaul,

Reference 38

Resolution
verified exact
doi, observed 2026-06-28T06:21:43.191954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:889333651bbcfa62049d8ded328faa11ec82f6a9ce80d1ba8ce09a580753f518

Observation 51b8953b-c90f-46d4-913f-e077c9fb06d4 · outbound

This paper cites Power Amplifier Modeling Framework for Front-End-Aware Next- Generation Wireless Networks,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Power Amplifier Modeling Framework for Front-End-Aware Next- Generation Wireless Networks,

Reference 39

Resolution
verified exact
doi, observed 2026-06-28T06:21:43.196511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:7b8c78a98cf424eb90bff11682d13dd141ba0e7607acb32bd8a55bf7f1d933da

Observation dda82d7a-7c77-4645-ba51-37015c970b93 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-06-28T04:46:52.944704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:43752279aa4169c5d7535cf91e0b3a20e537eff890076649e45f70fd8169d38c

Observation 99d0946c-4a1f-40cc-972b-c9026b8ce49e · outbound

This paper cites 5G; NR; Base Station (BS) conformance testing; Part 1: Conducted conformance testing,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul 5G; NR; Base Station (BS) conformance testing; Part 1: Conducted conformance testing,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-06-28T04:46:52.944704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:4f67573f7bba1b6b91a5e80bb9ae757f0bb4b814168db6b0ebd50e0462247bed

Observation 16fdf753-be63-4c0a-9e56-e205c4709e3b · outbound

This paper cites 1 02Tb/s CPRI- Equivalent Rate Direct Detection Transmission Supporting 1024-QAM Using IQ Interleaved Digital-Analog Radio-over- Fiber for Mobile Fronthaul,.

Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul 1 02Tb/s CPRI- Equivalent Rate Direct Detection Transmission Supporting 1024-QAM Using IQ Interleaved Digital-Analog Radio-over- Fiber for Mobile Fronthaul,

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-06-28T06:21:43.144996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:46:52.944704Z digest=sha256:796f544dba04c4d4b56b1e32e76da9e48fbde7f1065c787a5615b4d1ae61c096

Pith citing papers

No inbound Pith citation observations are available.