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Paper Citation Record · LEDGER

IRS-assisted Edge Computing for Vehicular Networks: A Generative Diffusion Model-based Stackelberg Game Approach

As of 21 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2502.10149.

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

pith.paper-citation-record.v1
2502.10149 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:16:36.248556Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3fd25319-c8e3-4a1c-8dbb-3ba170a4dcce · outbound

This paper cites A survey of driving safety with sensing, vehicular communications, and artificial intelligence-based collision avoidance,.

IRS-assisted Edge Computing for Vehicular Networks: A Generative Diffusion Model-based Stackelberg Game Approach A survey of driving safety with sensing, vehicular communications, and artificial intelligence-based collision avoidance,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:16:36.624771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 62b988f4-9a2e-4717-8438-0b290c57f3b0 · outbound

This paper cites Networking and communications in autonomous driving: A survey,.

IRS-assisted Edge Computing for Vehicular Networks: A Generative Diffusion Model-based Stackelberg Game Approach Networking and communications in autonomous driving: A survey,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:16:36.607212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T19:16:36.182047Z digest=sha256:d71a93a7bf127a40c974a488464daafd7b19190f3c99c3effd2d11b1c0079a75

Observation cc59bfe4-f9a0-43d2-900e-940bf36a3b95 · outbound

This paper cites Survey on multi-access edge computing for internet of things realiza- tion,.

IRS-assisted Edge Computing for Vehicular Networks: A Generative Diffusion Model-based Stackelberg Game Approach Survey on multi-access edge computing for internet of things realiza- tion,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:16:36.590831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T19:16:36.186695Z digest=sha256:b23172f016ce51d3145b47dc939fa0992f098c2afdbcddc838dc0811fa27731f

Observation 9eebe68c-c4ca-4cb5-a6b2-bb2a8f9c198b · outbound

This paper cites Roadside irs-aided vehicular communication: Efficient channel estimation and low-complexity beam- forming design,.

IRS-assisted Edge Computing for Vehicular Networks: A Generative Diffusion Model-based Stackelberg Game Approach Roadside irs-aided vehicular communication: Efficient channel estimation and low-complexity beam- forming design,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:16:36.574470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T19:16:36.191951Z digest=sha256:3a5717182f18145c216188efc0d080aa674224d478c8389c6003d8ab937ed1dc

Observation 0aa160d1-6a6a-4fa9-8b74-7f001c73f88f · outbound

This paper cites Mobility-aware computation offloading and resource allocation for NOMA MEC in vehicular networks,.

IRS-assisted Edge Computing for Vehicular Networks: A Generative Diffusion Model-based Stackelberg Game Approach Mobility-aware computation offloading and resource allocation for NOMA MEC in vehicular networks,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:16:36.557065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T19:16:36.197181Z digest=sha256:e5135354f869ff493cc222162bb65602029deb92dfd23abb11a2a2442d45bea6

Observation 38acfebe-c060-4685-8ee9-558146f31290 · outbound

This paper cites Computation offloading and beamforming optimization for energy minimization in wireless-powered irs-assisted MEC,.

IRS-assisted Edge Computing for Vehicular Networks: A Generative Diffusion Model-based Stackelberg Game Approach Computation offloading and beamforming optimization for energy minimization in wireless-powered irs-assisted MEC,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:16:36.540745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T19:16:36.202642Z digest=sha256:1a3b4f7f82ea9c57dbd7723f4b80690209a39397cdd55c5e7357f32b21c9b9f1

Observation ddd9b3da-fdc6-4206-928c-4b2f55af43f1 · outbound

This paper cites Min- max fairness based joint optimal design for IRS-assisted MEC systems,.

IRS-assisted Edge Computing for Vehicular Networks: A Generative Diffusion Model-based Stackelberg Game Approach Min- max fairness based joint optimal design for IRS-assisted MEC systems,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:16:36.525318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T19:16:36.208305Z digest=sha256:3ec772de0cce036ff583320ad45229dccaaf053dc942de9a1b1c8d825c3aeba1

Observation 9d77ac8a-690b-443d-9a16-d5a1e8db7590 · outbound

This paper cites MARS: A drl-based multi-task resource scheduling framework for UA V with irs-assisted mobile edge computing system,.

IRS-assisted Edge Computing for Vehicular Networks: A Generative Diffusion Model-based Stackelberg Game Approach MARS: A drl-based multi-task resource scheduling framework for UA V with irs-assisted mobile edge computing system,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:16:36.509145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T19:16:36.213153Z digest=sha256:d4584bd03981bbaf9f12c81150727878258b4eb57a0041f78709bec3a6617d6a

Observation cc225a01-8e93-4abe-b309-cc370f589194 · outbound

This paper cites A survey on generative diffusion models,.

IRS-assisted Edge Computing for Vehicular Networks: A Generative Diffusion Model-based Stackelberg Game Approach A survey on generative diffusion models,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:16:36.492361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T19:16:36.218677Z digest=sha256:3cc4e5b310fbbd25ca6f900d4e6c8f6a9610dde19850a673ce9715740566d99a

Observation 29a1e119-1651-410a-998c-5510dbd32080 · outbound

This paper cites Dynamic user clustering and power allocation for uplink and downlink non-orthogonal multiple access (NOMA) systems,.

IRS-assisted Edge Computing for Vehicular Networks: A Generative Diffusion Model-based Stackelberg Game Approach Dynamic user clustering and power allocation for uplink and downlink non-orthogonal multiple access (NOMA) systems,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T19:16:36.223431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:16:36.223431Z digest=sha256:6de3542ed449643232b9a1c8222e4d58dd1e4f4136265bd3240dc9e83024609b

Observation c64862bf-9eaf-401e-bb46-44617cdde915 · outbound

This paper cites Reconfigurable intel- ligent surface assisted multi-user communications: How many reflective elements do we need?.

IRS-assisted Edge Computing for Vehicular Networks: A Generative Diffusion Model-based Stackelberg Game Approach Reconfigurable intel- ligent surface assisted multi-user communications: How many reflective elements do we need?

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:16:36.464143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T19:16:36.228994Z digest=sha256:c4c96f04afddeab47bc37a194fa140312b830f4aafe6b250998b104bad55e3b9

Observation d25d1040-3b18-42a9-b5bd-813e9a696609 · outbound

This paper cites Performance analysis of mixed-adc massive MIMO systems over rician fading channels,.

IRS-assisted Edge Computing for Vehicular Networks: A Generative Diffusion Model-based Stackelberg Game Approach Performance analysis of mixed-adc massive MIMO systems over rician fading channels,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:16:36.333893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T19:16:36.233928Z digest=sha256:4cc9f75b2b8c6da6078b7b4ae9109df7e80377e0eedc53db489731ee7c674a51

Observation 5e162214-87f5-4fe5-88d2-e1eb4b358f71 · outbound

This paper cites Hybrid beamforming for reconfigurable intelligent surface based multi-user communications: Achievable rates with limited discrete phase shifts,.

IRS-assisted Edge Computing for Vehicular Networks: A Generative Diffusion Model-based Stackelberg Game Approach Hybrid beamforming for reconfigurable intelligent surface based multi-user communications: Achievable rates with limited discrete phase shifts,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:16:36.318632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T19:16:36.238646Z digest=sha256:1793ac8a04a141d8bbe23d4d0b276b08565d813e41b2cb02eb2e95a86898cbd5

Observation 2b0067f6-1085-4de8-9db7-c8a6947329bf · outbound

This paper cites Joint task offloading and resource allocation for fog-based intelligent trans- portation systems: A UA V-enabled multi-hop collaboration paradigm,.

IRS-assisted Edge Computing for Vehicular Networks: A Generative Diffusion Model-based Stackelberg Game Approach Joint task offloading and resource allocation for fog-based intelligent trans- portation systems: A UA V-enabled multi-hop collaboration paradigm,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:16:36.302357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T19:16:36.243706Z digest=sha256:10c63a9b501688d800f883ce807f4dbec69954a152fabb5246e9fa89e9239f7c

Observation fb850b6f-3ac0-40a8-a982-be8e3d0daf54 · outbound

This paper cites Denoising diffusion probabilistic models,.

IRS-assisted Edge Computing for Vehicular Networks: A Generative Diffusion Model-based Stackelberg Game Approach Denoising diffusion probabilistic models,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T19:16:36.248556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:16:36.248556Z digest=sha256:83ecb832930bfca39364becb202278bbac16046023031c9694b7fd4cc007a5b3

Pith citing papers

No inbound Pith citation observations are available.