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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

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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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:49.931830Z digest=sha256:9ea800179f0009947893ba3f0ce9e9d3e86d42ca77db1e0d27f36ee46cadfa9c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:49.935627Z digest=sha256:441d76f872d3e3e5fdf6906796edf8a71f64a01ff84f02e63860bde7df8fa1f1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:49.940483Z digest=sha256:cdd986dd75eed4e040bcec1a5725e75380ef6069da901992d8ebdbd2bae3fe76

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
verified fuzzy
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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:49.943721Z digest=sha256:4e2603b46a328495c74060fc3d2206cebe8ee2aac0f121730f119fc24af7c1a6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:49.946871Z digest=sha256:577ff1d52886dee82c9f3c8b0a20efe28f6033771672034047bda745ef2a2fdd

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:49.950389Z digest=sha256:acae82d0c29bb37b1d2d42fa20fa23f6b50eaf4491c920b57c3d0b03b8f578f8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:49.954324Z digest=sha256:ca4af7e05c1a2c502157920c2e7f10bd43907d4e32357f81d2f20e18016db7b2

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 2026-08-19T06:32:44.657259+00:00.

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:49.960965Z digest=sha256:bbf65febb784547ddbbcf4487f649e850928b0ea3c1763a782fcddfb71c280ce

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:ac4eddf1aaf3bab4e301f61ed409845d7ef7cd5f6561a3471ee4484857a39fee

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:49.967851Z digest=sha256:dd8dc7ee71804062d3f51bd53c20ced60a6f38127895700dc8816d17e7ba5031

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:49.970966Z digest=sha256:ee018e9c61e59eb85a12817adce91bbdbb45af1357746ef383e28bca96fe9b80

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 2026-08-19T06:32:44.657259+00:00.

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:49.977442Z digest=sha256:fa15ed99899c19fe25ba682460386f78bb3931383615d089fb2da5e083d8d713

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=sha256:3ae6c053b03c1df766882818ffcf2096657c27d8825d031b242aee9f75077137

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:49.984560Z digest=sha256:4ff317662bef074d22712153f4a6826a3e1c5182f63fda7b990785e99a06ee51

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:49.988505Z digest=sha256:09416b86133119e0b757e19c1de9bde8006b9e5643f2863d449a41aba7cd313a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:49.992194Z digest=sha256:84f0cdd34925efa34bd3529ae98ea771ca9ebb1a6c5dc7b5977ef1fd773f242b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:49.995785Z digest=sha256:306a5a72666266129c3da772200ac64d36df8e65a61bba5ebbb05964f26e440e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:49.999766Z digest=sha256:93348ad58f609056b2e4f0ff017467dc9d3fa743065360f464282ddaa65e6299

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.003506Z digest=sha256:f56fa570efdc4d73fc42f1603629cf8bacb286bdda54951cbf4377e2fe4bec95

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.007429Z digest=sha256:045ea57f545b72acd5292233e6c78a2a55a01679c8b8dfe36f0d23237e20027a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.010669Z digest=sha256:0b4c581f8a8f07fc230cdfcfc0a1e7dc0706bec4e5b0f365f465e45d8c8483da

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.014585Z digest=sha256:6cf9bff8e3437c01360290f4d1b584ce1ca932b64e6afe26ffd839f805527087

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.017746Z digest=sha256:9da228823f59becf59860c7beb820fb325cd50c45a7078387f6079835a955ee0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.021063Z digest=sha256:f84475e6f1687b28799eb333e1db648a7a1fdf26e2684a2cfaff1e5a41c38bc6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.024629Z digest=sha256:d6fce2289989d9a3d5eb2afcff0fcfddb772f727213f448188c574eff7190947

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.028388Z digest=sha256:92d73c87937b5ce3c2abaf64e5d3de598c28a356f3c5f65efc610039a6256a82

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.031860Z digest=sha256:55eb7e6f63a49e7b2296a953d2158479091e6a8ae89d5faa24117f2d3b82d150

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.035293Z digest=sha256:5a6a57d9f71746aa36482d8bb68f364c17447eae123c73428911b1b2664dd600

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.038363Z digest=sha256:cf2fa84a380b78c5b0dc02f446bc80ca364d422d1493e2ccdfe31ce0112b1af1

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:c52d8c37d7d1619b4c74dc962ba9b86f6af8f67d0269c380aa5eb844e24f0592

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.046027Z digest=sha256:0f988efa43ba2afded4d5164cb75ca5518a21e8f26583ce1c09b9e0752ea1c28

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.048915Z digest=sha256:d4b75290e35b0c0f330418cb8292bba0d637376c436f86c9e3c7a820131cfa2c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.052076Z digest=sha256:f3946636b0e0e5997ec971ab5d7d5ce8fa33263880b4762ea46d572a9653fffd

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.055841Z digest=sha256:96b35bc97c42fcc4580e40f3301f612a00a3fa50bcb754c3760f6ae74824e65f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.059241Z digest=sha256:6b6d87293c25c346c447e8c0506e923817df9795ab25cb242b0bce8e12d9d734

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.062601Z digest=sha256:a744ad700627f84f723417c2455c7c9a664c4cadc8de9e90d0a05c0454727939

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.065838Z digest=sha256:eba8ff3067fba788c4e076fcf71d571d5a9e66ceac6051de4adcc239bc0c6d43

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.069003Z digest=sha256:29a927fc24643794abe1a2ef849414349661f3cd8a83a3b9f459bf0eb8b6261c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.072070Z digest=sha256:bfa02964b9eba7c3c19da81cd6c3e4c40ba2288dfa2ccf6f766ac4a2f263bcd1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.075149Z digest=sha256:84034af67443be292b1f12998c893a4179a2df874335be06912d44b256927963

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.078587Z digest=sha256:d17212080cb7b168f408db49c50672902485918e4b5395edb87cdba2b1ec0bf4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.081936Z digest=sha256:e6726bd820b0074daff279ba7bfbd24308595542cd4a131e37ff3b4b63bf8c13

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.085466Z digest=sha256:b1b685bb8c8a1a51cb29904dd0763c02b27dd64f43a9fffc32449ac6c41ea5c0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.089218Z digest=sha256:782f228664908d81ee33603677478bc1c4818aa7ff1e84f8703473758d7b0400

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=sha256:68b844cb2ef527bd04aadba5699bfd09ba51a38de1cc4c81ecf0c1ef720a30ef

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.097051Z digest=sha256:fce58051aa259accff08cdbf8fbcfbd8f17833bdbff4dbe46bb126ea58400c49

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.100946Z digest=sha256:aee977c8195d07416ff84300aa13e5edf86fbcaddf7b0a371a3499c30a3da29d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.104162Z digest=sha256:8b9c51f8a43632df6a2f4b71e89562412cc6d90988adf4e9852ebe7ce70ad99e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:54:50.107628Z digest=sha256:28ebffe3cce2a8c7e7326d7ee649348dc42ab578ea804a4c8b8a0b896bd0f085

Pith citing papers

No inbound Pith citation observations are available.