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Paper Citation Record · LEDGER

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2506.17342.

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

pith.paper-citation-record.v1
2506.17342 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:50:59.151739Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

43 of 43 outbound references displayed

  • verified exact8
  • verified fuzzy5
  • unresolved15
  • parse uncertain0
  • malformed identifier3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96e9cb3c-8d1a-443e-8444-f8a9e31fb836 · outbound

This paper cites A survey on metaverse: Fundamentals, security, and privacy,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning A survey on metaverse: Fundamentals, security, and privacy,

Reference 1

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raw_fallback, observed 2026-08-06T23:51:05.463276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 37717c6a-4321-4202-8c3a-cf0aeae99850 · outbound

This paper cites What is a Metaverse? And should you be buying in?.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning What is a Metaverse? And should you be buying in?

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:05.518177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 657f33dd-59a2-4bd6-aea8-92fc6930b6f5 · outbound

This paper cites Optimizing federated learning with deep reinforcement learning for digital twin empowered industrial IoT,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Optimizing federated learning with deep reinforcement learning for digital twin empowered industrial IoT,

Reference 3

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raw_fallback, observed 2026-08-06T23:51:05.389312Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5dbcd1e7-2070-428f-881f-661ac38fae28 · outbound

This paper cites Human-centric resource allocation for the metaverse with multi-access edge computing,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Human-centric resource allocation for the metaverse with multi-access edge computing,

Reference 4

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raw_fallback, observed 2026-08-06T23:51:05.187225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:50:56.781764Z digest=sha256:ed94eff439188b81df03aecb640e6f489b91f4f2818d5a4c4baefbe2cbbaa481

Observation 7b5093f9-5946-4e29-8dbe-e5ef47255367 · outbound

This paper cites Freedom and restraint in dark forest: A peek at the metaverse through a blockchain game,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Freedom and restraint in dark forest: A peek at the metaverse through a blockchain game,

Reference 5

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no resolver link, observed 2026-08-06T23:50:56.856361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:50:56.856361Z digest=sha256:5f6a14bb0ea26cf86b1a2dacf082f59858245dddfa31205739ecf47d432d1c0e

Observation 081ffdd4-28ce-409c-890e-77221fe28670 · outbound

This paper cites Towards understanding metaverse engagement via social patterns and reward mechanism: A case study of nova empire,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Towards understanding metaverse engagement via social patterns and reward mechanism: A case study of nova empire,

Reference 6

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no resolver link, observed 2026-08-06T23:50:56.892561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:50:56.892561Z digest=sha256:4031dff8e8bfc7b62b4374e51ef9c8ca92e93e4ff099d8331b30491b1ff6992f

Observation 232b75ee-712a-4458-ad45-ad0c3e1fedb0 · outbound

This paper cites Social metaverse: Challenges and solutions,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Social metaverse: Challenges and solutions,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:05.507698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bbe123e6-3bcc-4d27-b50e-5a4f3dfbc7bb · outbound

This paper cites Social interactions in the metaverse: Framework, initial evidence, and research roadmap,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Social interactions in the metaverse: Framework, initial evidence, and research roadmap,

Reference 8

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verified exact
doi, observed 2026-08-06T23:51:00.463279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation fee92cf0-4e75-4125-94c7-19a8eec434c8 · outbound

This paper cites The social metaverse: Battle for privacy,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning The social metaverse: Battle for privacy,

Reference 9

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verified exact
doi, observed 2026-08-06T23:51:00.311830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d19ff82a-8807-424f-a3b7-f9bd7d1e2bc0 · outbound

This paper cites Distributed resource optimization with blockchain security for immersive digital twin in IIoT,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Distributed resource optimization with blockchain security for immersive digital twin in IIoT,

Reference 10

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raw_fallback, observed 2026-08-06T23:51:04.793324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f50943bd-4e78-42e4-8387-47d568b9d7e0 · outbound

This paper cites Collaborative edge computing for social internet of things: Applications, solutions, and challenges,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Collaborative edge computing for social internet of things: Applications, solutions, and challenges,

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:50:57.298440Z digest=sha256:2cb882a28b560fba28076d8471737735ad2776fe5a06905f404a3d38a4bb4e7a

Observation 25c580c8-964d-4e1f-90b2-8701d5657c75 · outbound

This paper cites Oboe: Auto-tuning video ABR algorithms to network conditions,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Oboe: Auto-tuning video ABR algorithms to network conditions,

Reference 12

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Observation dc0c71f4-d3b3-4da7-9c60-2726031a8695 · outbound

This paper cites Combating VR sickness through subtle dynamic field-of-view modification,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Combating VR sickness through subtle dynamic field-of-view modification,

Reference 13

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source=pdf_text observed=2026-08-06T23:50:57.436288Z digest=sha256:f38130e6fcc1890be120b6cf6107612403edcd48224a56cad5167958f7dff4a8

Observation 674c8429-90c8-49cd-ab99-6445e16ac33e · outbound

This paper cites Proximal Policy Optimization Algorithms.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 14

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source=pdf_text observed=2026-08-06T23:50:57.489846Z digest=sha256:66e660f6b4385fffe578192cb830e5c4fc6c3a7eb1496989f93b066f0a79ac23

Observation 12cde3fc-9e31-49db-84d0-e3b14d2f2c65 · outbound

This paper cites The fairyland of second life: Virtual social worlds and how to use them,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning The fairyland of second life: Virtual social worlds and how to use them,

Reference 15

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verified exact
doi, observed 2026-08-06T23:51:00.163657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a73ca5ed-5d3a-4c12-b8be-3c3da02fa170 · outbound

This paper cites The digital dollhouse: Context and social norms in The Sims Online,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning The digital dollhouse: Context and social norms in The Sims Online,

Reference 16

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verified exact
doi, observed 2026-08-06T23:51:00.041441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4c311eac-740b-4888-8905-6e402756a11c · outbound

This paper cites Communication, coordination, and camaraderie in World of Warcraft,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Communication, coordination, and camaraderie in World of Warcraft,

Reference 17

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verified exact
doi, observed 2026-08-06T23:50:59.842136Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a0826b03-2467-4cc3-afa3-e129d95438d0 · outbound

This paper cites A review of the key challenges of non-fungible tokens,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning A review of the key challenges of non-fungible tokens,

Reference 18

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raw_fallback, observed 2026-08-06T23:51:04.144943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:50:57.766911Z digest=sha256:08d100df3f60889da248f1e1b71702269106292245ab376de76a0109634fb8bd

Observation ea66bce3-0047-4b67-9961-773ffbda1aae · outbound

This paper cites Situating the appeal of Fortnite within children’s changing play cultures,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Situating the appeal of Fortnite within children’s changing play cultures,

Reference 19

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verified exact
doi, observed 2026-08-06T23:50:59.645337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0f10d6ea-7ce9-4659-8f61-adeffccdd03f · outbound

This paper cites Social games and Blockchain: Exploring the metaverse of Decentraland,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Social games and Blockchain: Exploring the metaverse of Decentraland,

Reference 20

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doi_truncated, observed 2026-08-06T23:51:03.949494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1bb265d3-904d-4018-be66-59ce90a25854 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Communication-efficient learning of deep networks from decentralized data,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:50:57.942909Z digest=sha256:1bc6211dc9382331a98f456cdd68a7730c04dd51a9aa3095f0afa0ffed28d3e9

Observation 29d8521d-d624-415b-a61a-71260facf421 · outbound

This paper cites Federated Learning for Metaverse: A Survey.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Federated Learning for Metaverse: A Survey

Reference 22

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Unavailable: canonical work link unavailable.

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Observation 5777c57c-768c-4dee-935c-298710f121e8 · outbound

This paper cites Federated learning for 6G: Applications, challenges, and opportunities,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Federated learning for 6G: Applications, challenges, and opportunities,

Reference 23

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raw_fallback, observed 2026-08-06T23:51:03.643390Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bac43fad-e9d9-4e43-a114-a9b6debe9e0f · outbound

This paper cites Toward resource-efficient federated learning in mobile edge computing,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Toward resource-efficient federated learning in mobile edge computing,

Reference 24

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verified exact
doi, observed 2026-08-06T23:50:59.340959Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 44afb5f5-af98-4aa7-8896-6a8d1b253a66 · outbound

This paper cites Blockchained on-device federated learning,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Blockchained on-device federated learning,

Reference 25

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Observation 18438861-13cd-414d-b440-26e34a0ce206 · outbound

This paper cites Federated Learning for Metaverse: A Survey.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Federated Learning for Metaverse: A Survey

Reference 26

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metadata mismatch
local_arxiv, observed 2026-08-06T23:50:59.456711Z

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Observation 0404d611-1f72-414a-80ef-ad130ff01d2f · outbound

This paper cites Neural adaptive video streaming with pensieve,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Neural adaptive video streaming with pensieve,

Reference 27

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source=pdf_text observed=2026-08-06T23:50:58.318814Z digest=sha256:97aeda09c65a90bea535af5aabb9bc5f39594eae5c403b2fa1e9aef53065a5b4

Observation 70356863-c5c2-41a0-8832-8ad69fd00b7f · outbound

This paper cites Tiyuntsong: A self-play reinforcement learning approach for ABR video streaming,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Tiyuntsong: A self-play reinforcement learning approach for ABR video streaming,

Reference 28

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Observation 7d178f28-800c-4d38-bf70-f22edddafe95 · outbound

This paper cites T-gaming: A cost-efficient cloud gaming system at scale,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning T-gaming: A cost-efficient cloud gaming system at scale,

Reference 29

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no resolver link, observed 2026-08-06T23:50:58.435022Z

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source=pdf_text observed=2026-08-06T23:50:58.435022Z digest=sha256:880e197fc93ae06e437ea49dc9c55224e738cd1f22bdfe15d3370f4d4f5d9006

Observation e92d2412-df00-4bf7-b02b-283a4ef3c612 · outbound

This paper cites Statistically indifferent quality variation: An approach for reducing multimedia distribution cost for adaptive video streaming services,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Statistically indifferent quality variation: An approach for reducing multimedia distribution cost for adaptive video streaming services,

Reference 30

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raw_fallback, observed 2026-08-06T23:51:03.116852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:50:58.265464Z digest=sha256:c5d1cb1edee974754e6d9f92039df699af6833fcde5056c7b077ab7a4bb4f0b0

Observation 42cdaa4a-0d22-4f84-b3d5-2c95ea05c27a · outbound

This paper cites Tcp ex machina: Computer-generated congestion control,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Tcp ex machina: Computer-generated congestion control,

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:05.486198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:50:58.553135Z digest=sha256:891ce151833c88d52aa0f837cc9d578dc7c2fb0a0bfd3ae56606cf7cbe1be56d

Observation a9217d07-1a34-470d-8e82-6d947fbb6917 · outbound

This paper cites Interacting with New York City data by hololens through remote rendering,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Interacting with New York City data by hololens through remote rendering,

Reference 32

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raw_fallback, observed 2026-08-06T23:51:02.596157Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:50:58.622027Z digest=sha256:e1196172a23f1035e9ed733d14ee9b0cd50563f5018163f1ac08b29ae23e40a5

Observation 94faffa3-5486-4e6d-a285-e0102ef3b432 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 33

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no resolver link, observed 2026-08-06T23:50:58.690055Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:50:58.690055Z digest=sha256:28480f388829eabbe04ea8a639b6c0859a3aadab24f0ac822befabbb0d06602f

Observation fc8692f7-428a-4bea-b77c-2a7760f26110 · outbound

This paper cites Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU

Reference 34

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source=pdf_text observed=2026-08-06T23:50:58.480815Z digest=sha256:1e29170845177150b9eb5ae988ceb59faf24d2e64e59740a272d45c41720149e

Observation fc33a3d0-d113-4210-bcb7-ce74645797bb · outbound

This paper cites GreenABR: Energy-aware adaptive bitrate streaming with deep reinforcement learning,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning GreenABR: Energy-aware adaptive bitrate streaming with deep reinforcement learning,

Reference 35

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raw_fallback, observed 2026-08-06T23:51:02.341918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:50:58.834558Z digest=sha256:293b3d1c45ae8904f0ff649e9c2e561664fc0ea4b64e6c700dcd05d6bee961a8

Observation ea86afa3-b337-4654-aaba-d9b53d635a65 · outbound

This paper cites Ruyi: A configurable and efficient secure multi-party learning framework with privileged parties,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Ruyi: A configurable and efficient secure multi-party learning framework with privileged parties,

Reference 36

Resolution
malformed identifier
no resolver link, observed 2026-08-06T23:50:58.922060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:50:58.922060Z digest=sha256:ccd1934b727f0ba8ca87379ff047a5830ac93e5b0fd4601e495277a97d7af661

Observation a93f5241-c724-42b1-a596-75e34ea49f6d · outbound

This paper cites ARTEMIS: Adaptive bitrate ladder optimization for live video streaming,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning ARTEMIS: Adaptive bitrate ladder optimization for live video streaming,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:05.475921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:50:59.017695Z digest=sha256:e97527d75a4d14c4d8040420a6ceb3962d67e57cb66d7b52700671ac5e3199ca

Observation 7a4da766-34fa-4b56-a2c0-20432a3cbef6 · outbound

This paper cites Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:58.756404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:50:58.756404Z digest=sha256:b3e484635f727ad73ad1c9b874b12d7cac5efa6b5c0ccc17eab40f2ecb49b317

Observation c948fc6c-2b75-4d44-95f8-08e48275dba1 · outbound

This paper cites BBR: Congestion-based congestion control: Measuring bottleneck bandwidth and round-trip propagation time,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning BBR: Congestion-based congestion control: Measuring bottleneck bandwidth and round-trip propagation time,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:59.151739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:50:59.151739Z digest=sha256:ee732e3adac1d79074961ecc3fb1ae0ff077a6463dc01958500031e577200865

Observation 595be00c-f13e-4e59-8cfd-b1f79f47a0bf · outbound

This paper cites Analysis and design of the google congestion control for web real- time communication,.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Analysis and design of the google congestion control for web real- time communication,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:59.087246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:50:59.087246Z digest=sha256:68d6402c8e9555fdb6c70a673b0f4661098fbbc99e5c4b32f74a984b7ce747c9

Observation 8e33fb7c-d214-4742-b3f1-4c024a6c3048 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 1282

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:57.973833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:50:57.973833Z digest=sha256:8c765605d457b63e00478fbf277476003c42307a7dc18d586ddff9c9ecff5277

Observation 0ed69825-1a5b-4a08-92af-f7f5f1c060d5 · outbound

This paper cites Available: https://doi.org/10.1109/TSMC.2021.3098451.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Available: https://doi.org/10.1109/TSMC.2021.3098451

Reference 2017

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T23:51:04.341106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:50:57.558904Z digest=sha256:87c981ff415d2f24d64c752a7454b63caf280f4477ce664551ad887988ec2970

Observation 26e29df4-ea9d-49aa-8aa9-67b1e1b0b8d9 · outbound

This paper cites Available: https://doi.org/10.1109/IOTM.001.2200266.

Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Available: https://doi.org/10.1109/IOTM.001.2200266

Reference 2023

Resolution
verified exact
doi, observed 2026-08-06T23:51:00.636298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:50:57.084117Z digest=sha256:4b16cbbcb6d3296723e6ef61e6ce9104709b6725d02c92f14b468347a38fd010

Pith citing papers

No inbound Pith citation observations are available.