Paper Citation Record · LEDGER

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2506.06925.

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

pith.paper-citation-record.v1
2506.06925 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:53:02.101486Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy26
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3e5b09b9-8b5f-4ab4-9660-a2476177b537 · outbound

This paper cites Cloud radio access network (C-RAN): a primer,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN Cloud radio access network (C-RAN): a primer,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.548406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3330410b-39d4-44e0-9e77-0cc511bf8cd3 · outbound

This paper cites An overview of the CPRI specification and its application to C-RAN-based LTE scenarios,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN An overview of the CPRI specification and its application to C-RAN-based LTE scenarios,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.532700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3e5637d5-618a-4081-a8aa-6e8d49e1f419 · outbound

This paper cites LTE/LTE-A signal compression on the CPRI interface,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN LTE/LTE-A signal compression on the CPRI interface,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.517094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 314417eb-a440-41d8-ba43-d2cfbcde4813 · outbound

This paper cites Compressed transport of baseband signals in radio access networks,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN Compressed transport of baseband signals in radio access networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.501610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fdf88c59-e2cb-453d-8296-eecdf891c277 · outbound

This paper cites A novel and efficient vector quantization based CPRI compression algorithm,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN A novel and efficient vector quantization based CPRI compression algorithm,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.486693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ab8e492e-db2a-4350-a816-98dc07b85ce1 · outbound

This paper cites Time-domain compression of complex- baseband LTE signals for cloud radio access networks,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN Time-domain compression of complex- baseband LTE signals for cloud radio access networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.471489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 137978d1-d948-46b9-a428-cc2c42654c9e · outbound

This paper cites Robust and efficient distributed compression for cloud radio access networks,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN Robust and efficient distributed compression for cloud radio access networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.455860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df42a168-2c7f-4512-a568-418bcf7cc560 · outbound

This paper cites Meta-learning-based fronthaul compression for cloud radio access networks,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN Meta-learning-based fronthaul compression for cloud radio access networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.440729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 522467bb-b5ad-4a2b-800c-4de713f45057 · outbound

This paper cites Space-time fronthaul compression of complex baseband uplink LTE signals,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN Space-time fronthaul compression of complex baseband uplink LTE signals,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.425500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a4d19f3c-fc3c-4f7f-bb7d-4769923455b5 · outbound

This paper cites Learning to Detect,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN Learning to Detect,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.410714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fcc0d95a-cc26-418f-a92f-d28366317002 · outbound

This paper cites AMP-inspired deep networks for sparse linear inverse problems,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN AMP-inspired deep networks for sparse linear inverse problems,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.395355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11b1de3a-c49d-41e6-b3e8-14fab49a9c58 · outbound

This paper cites End-to-end optimized image compression,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN End-to-end optimized image compression,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.379527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 09c3c73c-b6c1-4d2f-b7b1-5a02e2e5b204 · outbound

This paper cites Variational image compression with a scale hyperprior,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN Variational image compression with a scale hyperprior,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.364661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6697fac-caac-4edf-b37b-6fdcf8639cec · outbound

This paper cites An introduction to deep learning for the physical layer,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN An introduction to deep learning for the physical layer,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.349618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dfd52eb5-e5c9-491f-95cf-6adacdb4fb45 · outbound

This paper cites All you need is feedback: Communication with block attention feedback codes,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN All you need is feedback: Communication with block attention feedback codes,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.334374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 359c8c07-1af6-4275-a0be-f33e05c2e686 · outbound

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

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN Deep joint source- channel coding for wireless image transmission,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.319576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1d53656c-8aba-46d9-8bb4-4a7320fd82af · outbound

This paper cites Constrained deep reinforcement learning for fronthaul compression optimization,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN Constrained deep reinforcement learning for fronthaul compression optimization,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.303769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0c5882d8-077d-4110-8da5-93ca1668d69a · outbound

This paper cites Deep learning-based nonlinear quantizer for fronthaul compression,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN Deep learning-based nonlinear quantizer for fronthaul compression,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.288169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7f15c456-b4b8-48b0-8b8c-a281d99c3e08 · outbound

This paper cites Variable rate deep image compression with modulated autoencoder,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN Variable rate deep image compression with modulated autoencoder,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.272810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e1e8683b-3ea2-4f97-9dd7-e264abaf6073 · outbound

This paper cites Asymmetric gained deep image compression with continuous rate adaptation,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN Asymmetric gained deep image compression with continuous rate adaptation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.257614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c06d6649-7bef-4a6a-8121-d69bd09f2b03 · outbound

This paper cites Variable bitrate image compression with quality scaling factors,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN Variable bitrate image compression with quality scaling factors,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.242562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 176e54a5-c855-4af5-a541-40dc19e5e64d · outbound

This paper cites D EEP JSCC-1++: Robust and bandwidth-adaptive wireless image transmission,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN D EEP JSCC-1++: Robust and bandwidth-adaptive wireless image transmission,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.226084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86761469-a629-4a71-86d3-505ab01fc754 · outbound

This paper cites an unresolved cited work.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:53:02.208373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d2f0eff7-e063-4dac-a93f-31c89f373fe6 · outbound

This paper cites Learning phrase representations using RNN encoder–decoder for statistical machine translation,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN Learning phrase representations using RNN encoder–decoder for statistical machine translation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.192084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d83ea1e9-a318-4a16-88ee-e097cc0d82e1 · outbound

This paper cites D EEP JSCC-Q: Constellation constrained deep joint source-channel coding,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN D EEP JSCC-Q: Constellation constrained deep joint source-channel coding,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.174758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 54bb886f-e445-469e-8ac4-c14446c13b62 · outbound

This paper cites Neural discrete representation learning,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN Neural discrete representation learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.157615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b8d0e6a1-8ce0-4f11-a550-379694262721 · outbound

This paper cites New radio physical layer abstraction for system-level simulations of 5G networks,.

Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN New radio physical layer abstraction for system-level simulations of 5G networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:02.141039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.