Paper Citation Record · LEDGER

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2608.03313.

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

pith.paper-citation-record.v1
2608.03313 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:16:32.336001Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

23 of 23 outbound references displayed

verified exact2
verified fuzzy19
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 216b04d0-c8f0-4b5e-aa4a-021ccef55ea6 · outbound

This paper cites Flycache: Recommendation-driven edge caching architecture for full life cycle of video streaming,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning Flycache: Recommendation-driven edge caching architecture for full life cycle of video streaming,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:37.021295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 92d1938b-e55e-462f-9d98-da412f8487a7 · outbound

This paper cites Segment prefetch- ing at the edge for adaptive video streaming,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning Segment prefetch- ing at the edge for adaptive video streaming,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:36.757124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 29ffd19c-9b87-497f-a049-1834a1cfba95 · outbound

This paper cites Space: Segment prefetching and caching at the edge for adaptive video streaming,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning Space: Segment prefetching and caching at the edge for adaptive video streaming,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:36.506882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 23ce63e8-3e30-40d5-aade-5fb41551a811 · outbound

This paper cites Cd-lwte: Cost- and delay-aware light-weight transcoding at the edge,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning Cd-lwte: Cost- and delay-aware light-weight transcoding at the edge,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:36.406449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7c5f0d22-64d3-46d0-bf6b-b7eac7a962bd · outbound

This paper cites Collaborative video caching in the edge network using deep reinforcement learning,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning Collaborative video caching in the edge network using deep reinforcement learning,

Reference 5

Resolution: verified exact; doi, observed 2026-08-05T21:16:32.508220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a4660295-0dd2-4695-b473-a6d7919adcb2 · outbound

This paper cites Stochastic game based cooperative alternating q-learning caching in dynamic d2d networks,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning Stochastic game based cooperative alternating q-learning caching in dynamic d2d networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:36.268260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 08fb5704-2f3a-421d-896d-e250fe08b334 · outbound

This paper cites Joint cache placement and delivery design using reinforcement learning for cel- lular networks,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning Joint cache placement and delivery design using reinforcement learning for cel- lular networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:36.055786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fd36164f-9268-4d91-b9f9-c9e42cde804e · outbound

This paper cites Cache placement optimization in mobile edge computing networks with unaware environ- ment—an extended multi-armed bandit approach,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning Cache placement optimization in mobile edge computing networks with unaware environ- ment—an extended multi-armed bandit approach,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:35.779959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b195aed6-b501-41fe-93d9-0b27ea0e1cc7 · outbound

This paper cites Optimal caching policy for d2d assisted cellular networks with different cache size devices,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning Optimal caching policy for d2d assisted cellular networks with different cache size devices,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:35.507191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation af4221b9-7db6-4372-97a1-d28d0cf55dd7 · outbound

This paper cites Comparison of caching replacement policies in changing the number of interest packets on named data networks using mininet-ndn,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning Comparison of caching replacement policies in changing the number of interest packets on named data networks using mininet-ndn,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:35.155601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation caef8758-585f-4603-8c59-2ea07a913499 · outbound

This paper cites MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T21:16:31.319914Z

Source-reported events for the cited work

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Observation 72f2d929-8a93-44aa-88e6-12d6ffff01f1 · outbound

This paper cites A two-stage deep reinforcement learning framework for mec-enabled adaptive 360-degree video streaming,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning A two-stage deep reinforcement learning framework for mec-enabled adaptive 360-degree video streaming,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:34.931943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0f02dd05-4b65-4b3c-a36e-f42d283b6d36 · outbound

This paper cites Trim- stream: Adaptive realtime video streaming through intelligent frame retrospection in adverse network conditions,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning Trim- stream: Adaptive realtime video streaming through intelligent frame retrospection in adverse network conditions,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:34.649414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4a3f046f-f9b5-41a3-a412-dbc41e3f846b · outbound

This paper cites Qoe-driven cross-layer bitrate allocation approach for mec-supported adaptive video streaming,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning Qoe-driven cross-layer bitrate allocation approach for mec-supported adaptive video streaming,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:34.460409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62fceb9b-8a6f-4224-befa-c7f84a33503e · outbound

This paper cites Task-oriented video compressive streaming for real-time semantic segmentation,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning Task-oriented video compressive streaming for real-time semantic segmentation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:34.275860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7af880dc-8272-450e-aecf-d51cbaa12e94 · outbound

This paper cites Cloud–edge learning for adaptive video streaming in b5g internet of things systems,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning Cloud–edge learning for adaptive video streaming in b5g internet of things systems,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:34.020451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 118f1c59-3b82-4242-a3cd-140549e156e2 · outbound

This paper cites Qoe- fairness-aware bandwidth allocation design for mec-assisted abr video transmission,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning Qoe- fairness-aware bandwidth allocation design for mec-assisted abr video transmission,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:33.672563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 95c09328-76c4-4b1e-9117-7e094e47472d · outbound

This paper cites Acdv: Adaptive content delivery for vehicular digital twin networks,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning Acdv: Adaptive content delivery for vehicular digital twin networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:33.427684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 275e1580-8c30-4d57-837d-7df02262486a · outbound

This paper cites Enhancing qoe through adaptive bitrate allocation in collaborative mec-enabled wireless networks,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning Enhancing qoe through adaptive bitrate allocation in collaborative mec-enabled wireless networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:33.235397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b37bc83d-78c3-4cc7-abaf-ea35778e9ca8 · outbound

This paper cites How2compress: Scalable and efﬁcient edge video analytics via adaptive granular video compression,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning How2compress: Scalable and efﬁcient edge video analytics via adaptive granular video compression,

Reference 20

Resolution: verified exact; raw_fallback, observed 2026-08-05T21:16:32.765518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5e90d026-20d4-4e80-a09c-a794cddee5b6 · outbound

This paper cites Investigating the impact of chunk time on video streaming performance in tcp-based networks,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning Investigating the impact of chunk time on video streaming performance in tcp-based networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:33.054910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b569fd40-c48a-4bd1-95cf-e5520b51bbb1 · outbound

This paper cites The movielens datasets: History and context,.

Reference 22

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Source-reported events for the cited work

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Observation 1bd5701c-935a-48aa-ae27-a9f8a06f109b · outbound

This paper cites HTTP/2-based adaptive streaming of HEVC video over 4G/LTE networks,.

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning HTTP/2-based adaptive streaming of HEVC video over 4G/LTE networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:16:32.935282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.