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Paper Citation Record · LEDGER

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation

As of 13 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2411.14264.

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

pith.paper-citation-record.v1
2411.14264 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:26:16.376881Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8ec9839f-e9b8-49a4-864a-141848c4724b · outbound

This paper cites Peeking inside the black-box: a survey on explainable artificial intelligence (XAI),.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Peeking inside the black-box: a survey on explainable artificial intelligence (XAI),

Reference 1

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Observation 83ab0c6a-8dc2-47e1-b701-00db0e93670d · outbound

This paper cites The Artificial Intelligence and Data Act (AIDA) – Companion document,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation The Artificial Intelligence and Data Act (AIDA) – Companion document,

Reference 2

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Observation 0f84251f-b82b-40e0-b48d-743e1958943f · outbound

This paper cites A survey on the explainability of su- pervised machine learning,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation A survey on the explainability of su- pervised machine learning,

Reference 3

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Observation 0b32cfef-866c-46ba-84b5-8e1dded00800 · outbound

This paper cites Explainable deep reinforcement learning: state of the art and challenges,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Explainable deep reinforcement learning: state of the art and challenges,

Reference 4

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Observation d9134d13-7e4a-43ef-8b00-079ecceb794a · outbound

This paper cites Explainability in deep reinforcement learning: A review into current methods and applications,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Explainability in deep reinforcement learning: A review into current methods and applications,

Reference 5

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Observation 0efe263f-f157-408d-9fb0-002c955d57da · outbound

This paper cites Explainable reinforcement learning: A survey and comparative review,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Explainable reinforcement learning: A survey and comparative review,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 015cd947-d1c7-4362-82d7-f78d8aa65d1b · outbound

This paper cites Explainable Multi-Agent Reinforcement Learning for Temporal Queries.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Explainable Multi-Agent Reinforcement Learning for Temporal Queries

Reference 7

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Observation c390646c-199d-4bcc-a354-9e285032a1c1 · outbound

This paper cites Digital-twin- enabled 6G: Vision, architectural trends, and future directions,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Digital-twin- enabled 6G: Vision, architectural trends, and future directions,

Reference 8

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Observation 2b372fe6-3fc2-4e20-ad61-a20e415028dc · outbound

This paper cites 5G; QoE parameters and metrics relevant to the Virtual Reality (VR) user experience ,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation 5G; QoE parameters and metrics relevant to the Virtual Reality (VR) user experience ,

Reference 9

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Observation 20143159-2d44-4735-9eaf-dd738c481dc3 · outbound

This paper cites 5G; Extended Reality (XR) in 5G,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation 5G; Extended Reality (XR) in 5G,

Reference 10

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Observation 4a34314e-26c3-4c6b-8e56-fe6de0c4a4a9 · outbound

This paper cites 6G: The next Giant leap for AI and ML,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation 6G: The next Giant leap for AI and ML,

Reference 11

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Observation 04fcdfa1-d5d6-42a6-92e2-94e3bab00109 · outbound

This paper cites Five research insights on 6G and XR,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Five research insights on 6G and XR,

Reference 12

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Observation 16795c39-0465-4581-b0fe-6d3fe01c3ad5 · outbound

This paper cites Explainable reinforcement learning via reward decomposition,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Explainable reinforcement learning via reward decomposition,

Reference 13

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Observation 21622309-beb5-4e7c-be1b-1beab2ac3cb4 · outbound

This paper cites G.1035: Influencing factors on quality of experience for vir- tual reality services,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation G.1035: Influencing factors on quality of experience for vir- tual reality services,

Reference 14

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Observation 543a1504-9c33-44eb-8492-e04019a98fe6 · outbound

This paper cites Enhancing 5G QoS Management for XR Traffic Through XR Loopback Mechanism,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Enhancing 5G QoS Management for XR Traffic Through XR Loopback Mechanism,

Reference 15

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

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Observation e23fccfa-ff4d-423a-8eb6-22730273e13e · outbound

This paper cites QoS Management for XR Traffic in 5G NR: A Multi-Layer System View & End-to-End Evaluation,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation QoS Management for XR Traffic in 5G NR: A Multi-Layer System View & End-to-End Evaluation,

Reference 16

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

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Observation a101f774-bc1b-48b6-8cad-d913c41f99fb · outbound

This paper cites Extended Reality (XR) Codec Adaptation in 5G using Multi-Agent Reinforcement Learning with Attention Action Selection,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Extended Reality (XR) Codec Adaptation in 5G using Multi-Agent Reinforcement Learning with Attention Action Selection,

Reference 17

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Observation 8d8c7b3c-557a-4c08-a970-29740d742d56 · outbound

This paper cites EXPLORA: AI/ML EXPLainability for the Open RAN,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation EXPLORA: AI/ML EXPLainability for the Open RAN,

Reference 18

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Observation 66457334-0e72-4708-a5f6-b49775e0c878 · outbound

This paper cites Explainable Deep Reinforcement Learning for UA V autonomous path planning,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Explainable Deep Reinforcement Learning for UA V autonomous path planning,

Reference 19

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Observation 2936a343-5340-4112-bef9-f0843e285e44 · outbound

This paper cites Explainable artificial intelligence for 6G: Improving trust be- tween human and machine,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Explainable artificial intelligence for 6G: Improving trust be- tween human and machine,

Reference 20

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

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Observation 8180c851-fa2c-42de-8577-e0b2ed311296 · outbound

This paper cites Toward native explainable and robust AI in 6G networks: Current state, challenges and road ahead,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Toward native explainable and robust AI in 6G networks: Current state, challenges and road ahead,

Reference 21

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Observation d017cb4a-485f-4a16-be11-1cb654137daa · outbound

This paper cites Explainable AI in 6G O-RAN: A Tutorial and Survey on Architecture, Use Cases, Challenges, and Future Research.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Explainable AI in 6G O-RAN: A Tutorial and Survey on Architecture, Use Cases, Challenges, and Future Research

Reference 22

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Observation 8f9dcc44-e318-4819-be31-70f0c736cb28 · outbound

This paper cites Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environ- ments,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environ- ments,

Reference 23

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Observation 4347fcf3-3bb1-4836-b838-0463dbf956c4 · outbound

This paper cites Counterfactual multi-agent policy gradients,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Counterfactual multi-agent policy gradients,

Reference 24

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Observation 7732f1f6-b759-4e34-b4bc-6fcc19ed7882 · outbound

This paper cites The surprising effectiveness of ppo in cooperative multi-agent games,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation The surprising effectiveness of ppo in cooperative multi-agent games,

Reference 25

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Observation 5996194d-95ab-483c-9a1b-9d4cada34bca · outbound

This paper cites Multiagent trust region policy optimization,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Multiagent trust region policy optimization,

Reference 26

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

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Observation 15161113-1f52-49e4-8f55-19fef346215b · outbound

This paper cites Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning

Reference 27

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

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Observation a36edc34-0ccd-4bf3-8369-0e51aec082e3 · outbound

This paper cites Actor-attention-critic for multi-agent reinforcement learning,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Actor-attention-critic for multi-agent reinforcement learning,

Reference 28

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Observation 6c14d09c-f109-427b-8ddd-a231a79845c5 · outbound

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Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Unresolved cited work

Reference 29

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

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Observation 00be5482-d165-4f8c-a7d2-7e2aaf062618 · outbound

This paper cites Value-Decomposition Networks For Cooperative Multi-Agent Learning.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Value-Decomposition Networks For Cooperative Multi-Agent Learning

Reference 30

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Observation 8685a355-41aa-4cbe-98ae-531c5be55465 · outbound

This paper cites QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning,

Reference 31

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

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Observation 1a34e2d3-e543-4ba9-bab9-0ac9c84b74ab · outbound

This paper cites Monotonic Value Function Factorisation for Deep Multi- Agent Reinforcement Learning,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Monotonic Value Function Factorisation for Deep Multi- Agent Reinforcement Learning,

Reference 32

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

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Observation e738e647-be3a-4d08-9bf9-116eac571f3a · outbound

This paper cites an unresolved cited work.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Unresolved cited work

Reference 33

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Observation c75050f1-e55e-4529-93a5-2e2d54117c36 · outbound

This paper cites A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:16.327091Z digest=sha256:5f0ba9989a3d6ccf40e8a40587f832a51f2ae8f905f2e06f8a4fb41edf98cf54

Observation 8d72fd3c-b8be-412b-b4d1-bdead2c53cc3 · outbound

This paper cites Markov Games as a Framework for Multi-agent Rein- forcement Learning,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Markov Games as a Framework for Multi-agent Rein- forcement Learning,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:16.606409Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T15:26:16.329733Z digest=sha256:df5a47254a5cf7afa61a80820089fac82361653ba50ca6e9ca1668e0f69ca7b5

Observation 2dd56d62-f725-42f0-8b3b-9e4357341164 · outbound

This paper cites Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T15:26:16.332918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:26:16.332918Z digest=sha256:2384dab4fc782905b24bd5f5d1dfedee69634f261531a989fe339cfd802ead8d

Observation 8487e8e7-e70f-4935-9968-c396eb8acda9 · outbound

This paper cites Value Function Decomposition for Iterative Design of Reinforcement Learning Agents,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Value Function Decomposition for Iterative Design of Reinforcement Learning Agents,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:16.596465Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T15:26:16.337177Z digest=sha256:040bcd4ce397c360297effde37a086df3aca0c9b64ce63e0865a8c74d9728cc9

Observation 7fc9e2d5-8225-4a11-9da2-eb5b92362d17 · outbound

This paper cites Towards Understanding Cooperative Multi-Agent Q-learning with Value Factorization,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Towards Understanding Cooperative Multi-Agent Q-learning with Value Factorization,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:16.586582Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T15:26:16.340199Z digest=sha256:03202fe44729e07310e8a4f0bc0f1327bb332997d0c5bc7939a56382014034ad

Observation 68e37d8f-5811-4d84-8081-e5a8a9042298 · outbound

This paper cites Influence of Video Delay on Quality, Presence, and Sickness in Viewport Adaptive Immer- sive Streaming,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Influence of Video Delay on Quality, Presence, and Sickness in Viewport Adaptive Immer- sive Streaming,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:16.577207Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T15:26:16.343165Z digest=sha256:c89c032f6d99720541fa9b4d4bccc142d906cff685ca89a416ddecb481843621

Observation 2c66f22b-3fe1-4c7b-a692-18718998f367 · outbound

This paper cites PQoE Evaluation Methods for 360-Degree VR Video Transmission,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation PQoE Evaluation Methods for 360-Degree VR Video Transmission,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:16.566790Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T15:26:16.347009Z digest=sha256:4e6fa960edd3883edf252b0ad5b45028e887d0baa83e08823b421fec25a08d72

Observation 3c4ded72-e853-49b7-856f-dfb946035d19 · outbound

This paper cites Proposed QoE Models Associated with Delay and Jitter Using Subjective Approach and Applications for 4G and 5G Networks,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Proposed QoE Models Associated with Delay and Jitter Using Subjective Approach and Applications for 4G and 5G Networks,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:16.557171Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T15:26:16.350595Z digest=sha256:f0256c6f87a4bbaf0232eda5cb73a7a3f49ffc24ca9764e7de919ee9680bfacb

Observation 59910ad9-b2c1-47c3-8cc8-c4e18835ed02 · outbound

This paper cites Wireless communication research challenges for extended reality (XR),.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Wireless communication research challenges for extended reality (XR),

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:16.546712Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T15:26:16.353890Z digest=sha256:74c949c5bd426dcfe15915f9d6574c3b87962f115f4607fcae0f3197f54e5b3e

Observation 78557ba4-1124-4ed9-a7d1-025bc144ac41 · outbound

This paper cites A comprehensive survey of the tactile internet: State-of-the-art and research directions,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation A comprehensive survey of the tactile internet: State-of-the-art and research directions,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:16.535223Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T15:26:16.356995Z digest=sha256:56e4ef2beb034c6761762c9decc851592c57a1d92dc8fd1cf7ad0866115f3a71

Observation 5b50b170-1686-407f-b861-48cd6e71401a · outbound

This paper cites Study on XR (Extended Reality) Evaluations for NR,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Study on XR (Extended Reality) Evaluations for NR,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:16.525089Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T15:26:16.360924Z digest=sha256:a2437b7952872141a8efc5cd711cd4c6310b6e325fa3d1c2d293d6a8d77830e9

Observation 18bca4d4-72ca-4284-b906-bcf4127039bf · outbound

This paper cites XR Quality Index: Evaluating RAN Transmission Quality for XR services over 5G and beyond,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation XR Quality Index: Evaluating RAN Transmission Quality for XR services over 5G and beyond,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:16.513880Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T15:26:16.364870Z digest=sha256:3a892fe4fa903d89496a00e4717bf39b69e2975215750b09367357e0e924f5da

Observation 15fd1dcb-db16-414b-8277-f386475afb82 · outbound

This paper cites Policy Invariance under Reward Transformations: Theory and Application to Reward Shaping,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Policy Invariance under Reward Transformations: Theory and Application to Reward Shaping,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:16.504483Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T15:26:16.367691Z digest=sha256:e8cd2dd658cbc946e90370d5d33fe91177f05ca4c74bc51f6064d0ff432ae1b0

Observation 758af58c-b3d7-43f5-9ae4-05333ac04934 · outbound

This paper cites Multitask Learning,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Multitask Learning,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:16.492706Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T15:26:16.370323Z digest=sha256:4bf83a717f3e03b403c592a72909bd6d2d58fd05076f401046fb5716da3782f4

Observation 06cb9e0b-9bb4-4121-a1f9-7c9566fdb9e9 · outbound

This paper cites Gradnorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation Gradnorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:16.478717Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T15:26:16.373531Z digest=sha256:ac80b6a16b2cccf17194b7750fb93afd0c40c47edbad6e8efa02e1eee3333a53

Observation 19a26f83-3118-4412-965d-7181573de458 · outbound

This paper cites ns-3 meets OpenAI Gym: The Playground for Machine Learning in Networking Research,.

Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation ns-3 meets OpenAI Gym: The Playground for Machine Learning in Networking Research,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:26:16.468367Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T15:26:16.376881Z digest=sha256:1cdd2a10137502f83a9acc777b43cc90b3da51636193c723a6423ac43dbf5183

Pith citing papers

No inbound Pith citation observations are available.