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Paper Citation Record · LEDGER

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV

As of 13 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2411.13104.

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

pith.paper-citation-record.v1
2411.13104 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:54:50.107628Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

55 of 55 outbound references displayed

  • verified exact1
  • verified fuzzy49
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a2c2a517-33b3-49fd-8462-41ba0ab66993 · outbound

This paper cites Vehicular edge computing and networking: A survey,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Vehicular edge computing and networking: A survey,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.731824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5febd35f-2cc7-4944-b81b-baddbae69bd0 · outbound

This paper cites Co- operative edge caching based on elastic federated and multi-agent deep reinforcement learning in next-generation networks,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Co- operative edge caching based on elastic federated and multi-agent deep reinforcement learning in next-generation networks,

Reference 2

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unresolved
no resolver link, observed 2026-08-12T16:54:49.919319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:54:49.919319Z digest=sha256:302216fd2171acf607b50df051c5595ddf394831368074298ea3400f0c7b90b6

Observation 50926a8b-528f-4284-a4ef-992df3a28cd9 · outbound

This paper cites Sdn/nfv-empowered future iov with enhanced communication, computing, and caching,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Sdn/nfv-empowered future iov with enhanced communication, computing, and caching,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.715894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5f80cf1c-8c25-49c7-8d28-8375a0e9be52 · outbound

This paper cites Edgecooper: Network-aware cooperative lidar perception for enhanced vehicular awareness,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Edgecooper: Network-aware cooperative lidar perception for enhanced vehicular awareness,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.705577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.927502Z digest=sha256:2d7bcdce990d441b273c8e3a0e3a4d159eb04fd2ff89d6bb003062e754787a77

Observation 7d8950d9-66d3-404e-8bf4-d4fe781a6db7 · outbound

This paper cites Anti-byzantine attacks enabled vehicle selection for asynchronous federated learning in vehicular edge computing,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Anti-byzantine attacks enabled vehicle selection for asynchronous federated learning in vehicular edge computing,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.695076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.931830Z digest=sha256:f685fe2b4958a94d6254fc73344845a34bc92d908c70ae60a6432cf320ff2a33

Observation a4038c56-70a2-4223-a32a-3a0c2d86a50b · outbound

This paper cites Ringsfl: An adaptive split federated learning towards taming client heterogeneity,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Ringsfl: An adaptive split federated learning towards taming client heterogeneity,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.684238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.935627Z digest=sha256:21fdb0302ad0bce72e12d5bebbaf48144418b16e8d463f03b617fdae9abf9999

Observation 8cc8138c-fc38-4138-b654-bda533fdd5fd · outbound

This paper cites Network coding for efficient multicast routing in wireless ad-hoc networks,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Network coding for efficient multicast routing in wireless ad-hoc networks,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.673092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.940483Z digest=sha256:bbec39ad98fc0e481e96e181dda5aa68a3222ece426104711498787e4873691e

Observation 2fcc16dd-ba90-4c78-840d-6bb84ade596f · outbound

This paper cites Cooperative caching strategy with content request prediction in internet of vehicles,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Cooperative caching strategy with content request prediction in internet of vehicles,

Reference 8

Resolution
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raw_fallback, observed 2026-08-12T16:54:50.661293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.943721Z digest=sha256:f8d06e95e73674472522c0eb3b9879cf20c3af1958bddbc75636383c342f08a1

Observation 23c27f17-fe4a-4fae-84b8-c71e79458222 · outbound

This paper cites Delay-constrained optimal link scheduling in wireless sensor networks,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Delay-constrained optimal link scheduling in wireless sensor networks,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.648946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.946871Z digest=sha256:773386375a0ccd110bade0d78a42b217b4d64c9d87cb369f04b3296a57ac9d71

Observation 6d939cf9-3861-497d-85cb-be5758f06ef5 · outbound

This paper cites Investigation of the time-offset- based qos support with optical burst switching in wdm networks,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Investigation of the time-offset- based qos support with optical burst switching in wdm networks,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.637849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.950389Z digest=sha256:bef7a170979a53284d1a91a201fe3690830d633753cddb76fb5879d8cbda180a

Observation 63e9c750-7c8c-4237-bfee-c29f1c97beae · outbound

This paper cites Artificial intelli- gence empowered edge computing and caching for internet of vehicles,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Artificial intelli- gence empowered edge computing and caching for internet of vehicles,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.626553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.954324Z digest=sha256:c930400d43cfd0c655f734308fceab8dfdb77ba43b2dd71443b2ac7eb6615991

Observation 589648fb-9f33-4f4f-a430-df99cc0ccb39 · outbound

This paper cites Delay- sensitive task offloading in vehicular fog computing-assisted platoons,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Delay- sensitive task offloading in vehicular fog computing-assisted platoons,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.615129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.957814Z digest=sha256:22b01d7db06c234351b947ae46f71052993cd1f6a664da7abdf8c5980a0c2dcb

Observation 3868ccc9-b34b-4ee4-9bb5-73c65a73d7bb · outbound

This paper cites A survey on infrastructure-based vehicular networks,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV A survey on infrastructure-based vehicular networks,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.603978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.960965Z digest=sha256:5cce455cff99fdc714b593b228ae565b757a7b65f29ed15df0c873b9f687eef7

Observation 72368ba7-3f72-4748-a10b-4f33ebc34572 · outbound

This paper cites Semantic- aware resource allocation based on deep reinforcement learning for 5g- v2x hetnets,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Semantic- aware resource allocation based on deep reinforcement learning for 5g- v2x hetnets,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T16:54:49.964383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:54:49.964383Z digest=sha256:97ff29df7ccca07e0400ebe456fd2e44f1ab8c715039875b6e1afa9db934209c

Observation 82211daf-7f45-4906-a46c-5f7d079d8fc3 · outbound

This paper cites Lte-v for sidelink 5g v2x vehicular communications: A new 5g technology for short-range vehicle- to-everything communications,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Lte-v for sidelink 5g v2x vehicular communications: A new 5g technology for short-range vehicle- to-everything communications,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.585771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.967851Z digest=sha256:e018b9339e85a4e6d8e75c943c50e8d596062c69c55edc9935ef8679cff880f0

Observation a196adc8-bb4e-49cb-b649-3fdaee622ade · outbound

This paper cites Vehicle selection for c-v2x mode 4-based federated edge learning systems,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Vehicle selection for c-v2x mode 4-based federated edge learning systems,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.574017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.970966Z digest=sha256:e93cf8c93ae6c96830f2ba54e51abb9514125693b141cbb468462363106c8263

Observation 6801eee5-2940-4dad-879a-51aa95b7e8e2 · outbound

This paper cites Performance analysis of sensing-based semi-persistent scheduling in c-v2x networks,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Performance analysis of sensing-based semi-persistent scheduling in c-v2x networks,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.562104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.974388Z digest=sha256:a9c5ccabfbce2bcffc4db40764ce83c4d9b6b22d57378d0b4d243f02dacf423a

Observation da413c3f-3746-4b2b-b200-7861ca219da3 · outbound

This paper cites Adaptive semi-persistent scheduling for enhanced on-road safety in decentralized v2x networks,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Adaptive semi-persistent scheduling for enhanced on-road safety in decentralized v2x networks,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.550884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.977442Z digest=sha256:18b8d59d1cb1a1ec187355903ed8990516d86a53bd54fba9d59b490ccfbb415f

Observation 8765f6b2-8d87-495b-a757-57cdaab33528 · outbound

This paper cites Graph neural networks and deep reinforcement learning based resource allocation for v2x communications,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Graph neural networks and deep reinforcement learning based resource allocation for v2x communications,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T16:54:49.980735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:54:49.980735Z digest=sha256:3d5cde37c5d76994b0470a298ff11dba273340a81d6d1e771a209cccfbd76ab7

Observation 50e9b7ac-3e81-4573-8f06-4337a19f5bdc · outbound

This paper cites Reconfigurable holographic surfaces for ultra-massive mimo in 6g: Practical design, optimization and implementation,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Reconfigurable holographic surfaces for ultra-massive mimo in 6g: Practical design, optimization and implementation,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.532730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.984560Z digest=sha256:4fbeea9a29300205180c95c2011ed52d0e841b350ed95869104c582831e6a243

Observation 15474cd8-a1e9-40ac-a700-c95a8dd8dbd0 · outbound

This paper cites Hybrid near-far field channel estimation for holographic mimo communications,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Hybrid near-far field channel estimation for holographic mimo communications,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.521184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.988505Z digest=sha256:be300fbfe6645197458fd122491b81840e8eeee5bbcefa3212ce20fd06317d1e

Observation ff99ce1d-7b86-4507-8f0e-e7941216866b · outbound

This paper cites Non-orthogonal multiple access for high-reliable and low-latency v2x communications in 5g systems,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Non-orthogonal multiple access for high-reliable and low-latency v2x communications in 5g systems,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.510081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.992194Z digest=sha256:8bbc81278867754ead941838e97c7ba69f1bdef7eda133144bd74a0a2045db33

Observation 4e437b68-af59-4f9c-859e-b98d98ac40cc · outbound

This paper cites Sic vs. jd: Uplink noma tech- niques for m2m random access,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Sic vs. jd: Uplink noma tech- niques for m2m random access,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.499247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.995785Z digest=sha256:d6d230a8aae2a5c349a080e0420db6e1242dfe7e0259b16272c1f0b7224cde33

Observation 91b9069d-d554-4e03-8237-0921ef344986 · outbound

This paper cites Characterizing internet card user portraits for efficient churn prediction model design,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Characterizing internet card user portraits for efficient churn prediction model design,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.488368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:49.999766Z digest=sha256:66e7d454e9e615ba72f80cb2308b7fcda0f04e2095af4a3967ae55961deaba3e

Observation 8efb97ab-c9f1-4949-b4b5-1514f0a31bcc · outbound

This paper cites Characterizing user association patterns for optimizing small-cell edge system perfor- mance,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Characterizing user association patterns for optimizing small-cell edge system perfor- mance,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.476767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.003506Z digest=sha256:ffc4ae35c7a84af9620883a05da68fbb2acc8e208e9bcc2508bc6d622dbd1628

Observation af947d94-62bd-4c78-8e3a-81d946c457ad · outbound

This paper cites Value matters: A novel value of information-based resource scheduling method for cavs,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Value matters: A novel value of information-based resource scheduling method for cavs,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.465283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.007429Z digest=sha256:8bdfa4cd9925ddf8e4c11a6ba69dd41343a057b1f293da61e6c82a70e483b1dc

Observation 1bd4f28f-e7d0-45aa-81a3-907d3d6c518b · outbound

This paper cites Urllc- awared resource allocation for heterogeneous vehicular edge comput- ing,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Urllc- awared resource allocation for heterogeneous vehicular edge comput- ing,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.454489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.010669Z digest=sha256:0e7d28ddced029521de7e3a585bef2a09dff5cbda999a35d51c8fa6db54530f2

Observation 2221f9ae-950f-44b5-aa1e-1f529cf1537d · outbound

This paper cites Space/aerial-assisted computing offloading for iot applications: A learning-based approach,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Space/aerial-assisted computing offloading for iot applications: A learning-based approach,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.442976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.014585Z digest=sha256:9d32d6a57708bdb4d64da91f5a1ba1df82ab6b88d3db239bc4ccc0d5a5cb0647

Observation 82d79d43-23ff-47c8-911c-fbedf1ed0e95 · outbound

This paper cites Semantic-aware spectrum sharing in internet of vehicles based on deep reinforcement learning,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Semantic-aware spectrum sharing in internet of vehicles based on deep reinforcement learning,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.431169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.017746Z digest=sha256:40d7a83a10c6acbbd6685443b168d422e1af7bb43b9dd43ada1eff933a9505ce

Observation 4629187c-854b-4f8c-9fc4-e3935c753cea · outbound

This paper cites Age of information minimization for wireless ad hoc networks: A deep reinforcement learning approach,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Age of information minimization for wireless ad hoc networks: A deep reinforcement learning approach,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.419009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.021063Z digest=sha256:3dce752ff3038465626e6f7d293c5973d539871a4682e1b697cc74c69e2c4d03

Observation 98d35bb8-2b35-4703-be43-d7cee41b617b · outbound

This paper cites Knowledge-driven deep learning paradigms for wireless network optimization in 6g,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Knowledge-driven deep learning paradigms for wireless network optimization in 6g,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.407727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.024629Z digest=sha256:622e1f234764abca831ed96f438cba78f0e9180a5fb612d97cf6e879f13a54ef

Observation 6374b7aa-ae48-41c8-a3e1-38469c748fc4 · outbound

This paper cites Distributed deep reinforcement learning based gradient quantization for federated learning enabled vehicle edge computing,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Distributed deep reinforcement learning based gradient quantization for federated learning enabled vehicle edge computing,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.396218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.028388Z digest=sha256:2d2f4264662cd33a6b3a411b19457550fd7c810dad28cce33f9e948665e6bbc8

Observation 406348da-2510-4ee8-bd0c-5f1f10e6eb57 · outbound

This paper cites Reconfigurable intelligent surface assisted vec based on multi-agent reinforcement learning,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Reconfigurable intelligent surface assisted vec based on multi-agent reinforcement learning,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.385052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.031860Z digest=sha256:24d8014f27f496e5d493968d248e69be62d6a954cfed6a44e980566b902f58fc

Observation da493887-59e4-4416-82b3-aeeb216ffc2a · outbound

This paper cites Age of information minimization for an energy harvesting cognitive radio,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Age of information minimization for an energy harvesting cognitive radio,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.373023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.035293Z digest=sha256:6c8761386d592478bf4d92f5f86da03fa7d530622ea2e8632e233b91b864b66b

Observation 15234c7e-190e-4720-9c37-b8a2e1622a0c · outbound

This paper cites Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-12T16:54:50.142627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.038363Z digest=sha256:6a3f06492c1fad4127a1c57fc364ffc5fd1980a27b922992e8f590bf2b77b021

Observation 9a67a823-2d57-4c04-8eb1-4d7ef88b0ee9 · outbound

This paper cites Age of information: An introduction and survey,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Age of information: An introduction and survey,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T16:54:50.042586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:54:50.042586Z digest=sha256:a093b2ee8796f97067fd1c4230cc6d312a427df50ebb7f9a77a6fb0973be13c6

Observation 19845633-0e81-403f-b769-d11135d9ed7d · outbound

This paper cites Age of information in an urllc-enabled decode-and-forward wireless communication system,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Age of information in an urllc-enabled decode-and-forward wireless communication system,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.353983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.046027Z digest=sha256:511fafc696edf2ca30067e76eedc03390eace12b297d286969771ff6efb5e926

Observation 6308067e-b3d2-42f7-ba5c-9bfed31fab74 · outbound

This paper cites Integrated data and energy com- munication network: A comprehensive survey,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Integrated data and energy com- munication network: A comprehensive survey,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.343123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.048915Z digest=sha256:44dda33886b2b665ee1aee1ca43e9d5ee29b8a2153cd32ae238d7b74d8e1e829

Observation d6dc70fd-d9e4-4331-b30e-f2e5750be9de · outbound

This paper cites Reconfigurable intelligent surface aided vehicular edge computing: Joint phase-shift optimization and multi-user power allocation,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Reconfigurable intelligent surface aided vehicular edge computing: Joint phase-shift optimization and multi-user power allocation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.332559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.052076Z digest=sha256:accb5c6fecb07e77630a2acd68692d7414cbf013147e41ebee756dd33b1bcec1

Observation 03302102-fb9d-46c0-a412-e9d75f11ea82 · outbound

This paper cites A novel low-latency v2v resource alloca- tion scheme based on cellular v2x communications,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV A novel low-latency v2v resource alloca- tion scheme based on cellular v2x communications,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.321192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.055841Z digest=sha256:873aeacb0abb602cc22a6eaa2471cb5dbaaf349ad1dcffcab61b7933a0a1ca67

Observation f51167c8-f313-450c-af7a-a625cf74205d · outbound

This paper cites Analytical model and performance evaluation of long-term evolution for vehicle safety services,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Analytical model and performance evaluation of long-term evolution for vehicle safety services,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.310135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.059241Z digest=sha256:e2719cd4c515f8fabf5a643db45baae555346ad7c1f9acdba494e07c6b7e08b2

Observation fa93d252-1b09-4977-9919-c4b601d2846f · outbound

This paper cites System level evaluation of lte- v2v mode 4 communications and its distributed scheduling,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV System level evaluation of lte- v2v mode 4 communications and its distributed scheduling,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.298852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.062601Z digest=sha256:565cc43c36562107c00e78fb9ea7286339d983a6956d3cb2bd35cf6a1e06e8cb

Observation 3b445d79-5089-4c54-b99d-b332516cd11a · outbound

This paper cites Energy efficiency maximization in noma enabled backscatter communications with qos guarantee,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Energy efficiency maximization in noma enabled backscatter communications with qos guarantee,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.287732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.065838Z digest=sha256:4219ee4dd5ee5c0f0d63f3be86b90930cdb7599f1ca2fc1f052ba8404bdb742e

Observation 67348172-4d34-4506-bc44-5e5c39a3c155 · outbound

This paper cites En- ergy efficient user clustering, hybrid precoding and power optimization in terahertz mimo-noma systems,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV En- ergy efficient user clustering, hybrid precoding and power optimization in terahertz mimo-noma systems,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.276679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.069003Z digest=sha256:bbada1d51bdf919c6442b69e0f5cd1a9fb04d30a49cd20394b9d782a261574a5

Observation 59817b3b-343c-4c57-99db-fae79d930b25 · outbound

This paper cites Nonorthogonal random access for 5g mobile communication systems,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Nonorthogonal random access for 5g mobile communication systems,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.265729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.072070Z digest=sha256:7abd321b69bce9f81032f70d417712f544e12766df28ca3d863ebfe26d26e99c

Observation 66d74f53-ccfe-4edd-ae97-901fb8cc63d3 · outbound

This paper cites Drl-based sum-rate maximization in d2d com- munication underlaid uplink cellular networks,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Drl-based sum-rate maximization in d2d com- munication underlaid uplink cellular networks,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.254463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.075149Z digest=sha256:6249cc9f9abde332c52726484d18d3214bc87c2bbce64877cbe9ff7a95723924

Observation c23b9b4d-5a74-414b-a3c2-efe90caf6b78 · outbound

This paper cites Joint resource allocation and power control for d2d communication with deep reinforcement learning in mcc,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Joint resource allocation and power control for d2d communication with deep reinforcement learning in mcc,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.243420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.078587Z digest=sha256:d686f0faa0e563c197da25e9e7acc5e4643020914f5ccd3819ed46bd8eeaa991

Observation a98fc9e6-a5d2-4d11-b74a-2292a04d52dc · outbound

This paper cites Distributed drl-based downlink power allocation for hybrid rf/vlc networks,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Distributed drl-based downlink power allocation for hybrid rf/vlc networks,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.231210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.081936Z digest=sha256:e7610df98fae14110ce3c6529b6b5c6e08623db0608b47ebd8afcbfe15fa3a5e

Observation ce307116-3247-422a-b81e-a2a189cef593 · outbound

This paper cites Real-time status updating: Multiple sources,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Real-time status updating: Multiple sources,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.220041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.085466Z digest=sha256:20a841710cfd2ddf60f2227a91df64707e090d9fc9b2fc774f585ea9f68b22b0

Observation 92c83079-4d3d-4fc3-a0a1-e4bacd181244 · outbound

This paper cites Optimal link scheduling for age minimization in wireless systems,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Optimal link scheduling for age minimization in wireless systems,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.208193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.089218Z digest=sha256:83382f3c86abdf7e109fe3d0b3b70a352cb271a7c2fd291f5179ee93ed294701

Observation db511ee4-a928-4e47-b745-f4fa666b254a · outbound

This paper cites A discrete-time markov chain based comparison of the mac layer performance of c-v2x mode 4 and ieee 802.11 p,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV A discrete-time markov chain based comparison of the mac layer performance of c-v2x mode 4 and ieee 802.11 p,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T16:54:50.092232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:54:50.092232Z digest=sha256:c3c5ff5e1e8e88c55e511533a66b2e1de9d97055c3f39b9600bbebbe146e3c3d

Observation e50e484e-7b5b-4be8-b6d1-acfaabddb8a3 · outbound

This paper cites Joint optimization of age of information and energy consumption in nr-v2x system based on deep reinforcement learning,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Joint optimization of age of information and energy consumption in nr-v2x system based on deep reinforcement learning,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.188868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.097051Z digest=sha256:660eb4fc487deda7510ae7b7410b05349a5034d1debab8594e3765161a6c40a2

Observation 11b01e9b-d0bd-4728-8eed-1c45860c6693 · outbound

This paper cites Learning insertion primitives with discrete-continuous hybrid action space for robotic assembly tasks,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Learning insertion primitives with discrete-continuous hybrid action space for robotic assembly tasks,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.176274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.100946Z digest=sha256:ef37a3051be082914d4aba8fa16d410afbc7bec32f841831afa7cfff112e282b

Observation 891d28eb-674b-45d5-962a-b75e411cf09d · outbound

This paper cites Reinforcement learning for traffic signal control in hybrid action space,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Reinforcement learning for traffic signal control in hybrid action space,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.164940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.104162Z digest=sha256:a2c8b1258adf652d14debe1abcaf908eb4d54e7951a8e8c6e2418325734868db

Observation 16def336-947a-4514-8cd0-5a3726e67394 · outbound

This paper cites Ltev2vsim: An lte-v2v simulator for the investigation of resource allocation for cooperative awareness,.

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV Ltev2vsim: An lte-v2v simulator for the investigation of resource allocation for cooperative awareness,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:54:50.154150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:54:50.107628Z digest=sha256:9caffb5a377e069150fe171060261ac099ffd5d31b5940ad3c727866c5834538

Pith citing papers

No inbound Pith citation observations are available.