Paper Citation Record · LEDGER

Learn to Compress CSI and Allocate Resources in Vehicular Networks

As of 16 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:1908.04685.

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

pith.paper-citation-record.v1
1908.04685 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:00:28.137849Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

38 of 38 outbound references displayed

verified exact2
verified fuzzy31
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3fdc4e4-61bd-40ef-91a6-6fbcc7344788 · outbound

This paper cites LTE e volution for vehicle-to-everything services,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks LTE e volution for vehicle-to-everything services,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.934777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3367e26e-565d-47b6-ac51-9236fdd4ab95 · outbound

This paper cites V ehicle-to-everything (V2X) services supported by LTE-based systems and 5G,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks V ehicle-to-everything (V2X) services supported by LTE-based systems and 5G,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.919807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4d19d89e-af40-4757-bcb5-7dc48869926a · outbound

This paper cites V ehicular commun ications: A physical layer perspective,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks V ehicular commun ications: A physical layer perspective,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.906977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 92ad61ff-1fd7-4e24-9e7a-b81d80d1a7c5 · outbound

This paper cites V ehicular com munications: A network layer perspective,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks V ehicular com munications: A network layer perspective,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.894572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a6935915-2b28-467a-b247-8fb1eb8e6346 · outbound

This paper cites Technical speﬁca tion group radio access network: Study on LTE-based V2X serv ices,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Technical speﬁca tion group radio access network: Study on LTE-based V2X serv ices,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.881146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a403073b-f15c-4417-9cb6-1216bd1b0f21 · outbound

This paper cites Study on enhancement of 3GPP support for 5G V2X servi ces,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Study on enhancement of 3GPP support for 5G V2X servi ces,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.867193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c19cc56f-edc2-4471-a110-9f7cea397749 · outbound

This paper cites Resource allocation for lo w-latency vehicular communications: An effective capacit y perspective,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Resource allocation for lo w-latency vehicular communications: An effective capacit y perspective,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.854692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 51fcd29a-197e-4f24-ad1f-f38e63af2fb4 · outbound

This paper cites Resource allocation for D2D -enabled vehicular communications,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Resource allocation for D2D -enabled vehicular communications,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.842415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7a14de61-acd1-40e3-a0de-c7d44d81856f · outbound

This paper cites Graph-based resource sharing in vehicular communication,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Graph-based resource sharing in vehicular communication,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.829630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d56833c6-fe36-443d-bc48-ddcfccc80219 · outbound

This paper cites Interference hypergrap h-based resource allocation (IHG-RA) for NOMA-integrated V2X networks,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Interference hypergrap h-based resource allocation (IHG-RA) for NOMA-integrated V2X networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.818050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 378fccd2-5cc6-4923-9797-5a9b1a0705f6 · outbound

This paper cites Adaptive network segmentation and channel allocatio n in large-scale V2X communication networks,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Adaptive network segmentation and channel allocatio n in large-scale V2X communication networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.806158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d5758aaf-91c7-4a05-87bd-9868027087de · outbound

This paper cites Low complexit y outage optimal distributed channel allocation for vehicl e- to-vehicle communications,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Low complexit y outage optimal distributed channel allocation for vehicl e- to-vehicle communications,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.792474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d57175a5-3eba-4e62-a568-9a2798093834 · outbound

This paper cites Dynam ic proximity-aware resource allocation in vehicle-to-veh icle (V2V) communications,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Dynam ic proximity-aware resource allocation in vehicle-to-veh icle (V2V) communications,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.778742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c0b73dd7-455f-4e02-a46a-137afd413240 · outbound

This paper cites Mastering the game of Go with deep neural networks and tree search,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Mastering the game of Go with deep neural networks and tree search,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.763630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 09a86646-3bf1-4aaa-97da-53d1ad4f15f9 · outbound

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

Learn to Compress CSI and Allocate Resources in Vehicular Networks An introduction to deep learni ng for the physical layer,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.749514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation effe0ab5-7c92-4a54-8e35-8d94cdfe22ad · outbound

This paper cites Deep learning in p hysical layer communications,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Deep learning in p hysical layer communications,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.737346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4c8c6883-30d1-4375-b196-c6dcf2866d83 · outbound

This paper cites Power of deep learning for c hannel estimation and signal detection in OFDM systems,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Power of deep learning for c hannel estimation and signal detection in OFDM systems,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.725293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a067e0f0-e214-4b59-9df6-dbd732cae228 · outbound

This paper cites End-to-End Learning of Communications Systems Without a Channel Model.

Learn to Compress CSI and Allocate Resources in Vehicular Networks End-to-End Learning of Communications Systems Without a Channel Model

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:00:28.474413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 378f9bf1-5adc-4702-91dc-7089a127f934 · outbound

This paper cites Machine learning paradigms for next-generation wireless networks,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Machine learning paradigms for next-generation wireless networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.713079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 50963f44-06bb-46f4-aea8-4733a7f81451 · outbound

This paper cites Intelligent 5G: When cellular networks meet artiﬁcia l intelligence,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Intelligent 5G: When cellular networks meet artiﬁcia l intelligence,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.700194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7e82e332-0187-46fa-b714-3356b2741049 · outbound

This paper cites Dee p reinforcement learning for dynamic multichannel access i n wireless networks,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Dee p reinforcement learning for dynamic multichannel access i n wireless networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.686820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7143e90c-e908-49b4-9224-84401a950cf0 · outbound

This paper cites Deep reinforcement learnin g based mode selection and resource management for green fog radio access networks,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Deep reinforcement learnin g based mode selection and resource management for green fog radio access networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.670951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 00fdefa5-18de-49b1-9387-83a24a398727 · outbound

This paper cites Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:00:28.450453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0b669736-f275-469d-b837-3af1ed4b94f7 · outbound

This paper cites Machine learning for vehicular networks: Recent advances and application examples,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Machine learning for vehicular networks: Recent advances and application examples,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.657237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f66aee25-e3ef-4e1d-a24d-efdda60e91d4 · outbound

This paper cites Toward intelligent vehicu lar networks: A machine learning framework,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Toward intelligent vehicu lar networks: A machine learning framework,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.644100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 77b5963b-8284-4b6d-8b7a-29191e754360 · outbound

This paper cites Deep reinforcement lear ning based resource allocation for V2V communications,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Deep reinforcement lear ning based resource allocation for V2V communications,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.630566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2ea54942-a2ad-4aa1-871f-a46b39a10c4c · outbound

This paper cites Spectrum sharing in vehicu lar networks based on multi-agent reinforcement learning,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Spectrum sharing in vehicu lar networks based on multi-agent reinforcement learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.617060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b2c4cfca-0116-4ad6-acc4-a205ce85ae2e · outbound

This paper cites Traf ﬁc and computation co-ofﬂoading with reinforcement learni ng in fog computing for industrial applications,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Traf ﬁc and computation co-ofﬂoading with reinforcement learni ng in fog computing for industrial applications,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.600778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 82eb7dc5-c57a-4b79-adf7-8cdf9ca5bd68 · outbound

This paper cites Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T14:00:28.078802Z

Source-reported events for the cited work

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Observation b4ebb501-e58a-4868-b71e-640b569f9ba7 · outbound

This paper cites Q-learning,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Q-learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.581418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 522a264c-68fe-4124-b5f6-c2f337bc9280 · outbound

This paper cites an unresolved cited work.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:00:28.562999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e35ae9be-b09a-480a-b733-51e4bb23efed · outbound

This paper cites Human-level control through deep reinforcement learnin g,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Human-level control through deep reinforcement learnin g,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.541101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7d184efe-fa20-41a5-97a8-3c10b9db6f66 · outbound

This paper cites Deep reinforcem ent learning with double Q-learning,.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Deep reinforcem ent learning with double Q-learning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.525142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 34c961eb-17e4-499b-bde7-49364cf11e69 · outbound

This paper cites Variable Rate Image Compression with Recurrent Neural Networks.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Variable Rate Image Compression with Recurrent Neural Networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-14T14:00:28.113894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90a00d5c-292a-4649-b026-579fe0cad2e1 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-14T14:00:28.119176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64744aba-d995-4317-ada6-4a8b816c9c3c · outbound

This paper cites IST-4-027756 WINNER I I d1. 1.2 v1. 2 WINNER II channel models.

Learn to Compress CSI and Allocate Resources in Vehicular Networks IST-4-027756 WINNER I I d1. 1.2 v1. 2 WINNER II channel models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.510848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d51540f5-e3c9-4f09-a5dc-890395f9881a · outbound

This paper cites An overview of gradient descent optimization algorithms.

Learn to Compress CSI and Allocate Resources in Vehicular Networks An overview of gradient descent optimization algorithms

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-14T14:00:28.132482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c067c28-921c-439c-a61c-ec6d6e54119a · outbound

This paper cites Hastie, R.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Hastie, R

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:00:28.494185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.