Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control | Paper Citation Record

Observation 082ed47f-48a4-43fa-8d15-5a2cbb0616a3 · outbound

This paper cites Intent-based networking-concepts and definitions,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Intent-based networking-concepts and definitions,

Reference 1

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Observation 8498f8f8-cf9c-47de-8afb-e80f6ed65bb6 · outbound

This paper cites Intent classification,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Intent classification,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:46.200490Z

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Observation 8db2e39a-16ab-4777-8b3f-e8c2eebeac16 · outbound

This paper cites A survey on intent-based networking,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control A survey on intent-based networking,

Reference 3

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Observation 8a793556-f574-4bab-8317-19a99f2e1784 · outbound

This paper cites Service function chaining (sfc) architec- ture,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Service function chaining (sfc) architec- ture,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:46.181793Z

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Observation 98c4a32e-df25-4f22-894c-ad8408fd87c2 · outbound

This paper cites Network function virtualization: State-of-the-art and re- search challenges,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Network function virtualization: State-of-the-art and re- search challenges,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:46.171207Z

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Observation 4a0b5dc8-4b97-445e-8f95-2f485577a4a7 · outbound

This paper cites A survey on service function chaining,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control A survey on service function chaining,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:46.158688Z

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Observation 205c4010-895d-4da8-b30a-cd78937b2671 · outbound

This paper cites Network slicing in 5g: Survey and challenges,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Network slicing in 5g: Survey and challenges,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:46.148060Z

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Observation de7036c9-b8c8-40a8-8680-60ea6b77b56f · outbound

This paper cites Network slicing for 5g with sdn/nfv: Con- cepts, architectures, and challenges,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Network slicing for 5g with sdn/nfv: Con- cepts, architectures, and challenges,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:46.137627Z

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Observation 0c0b92b6-02d3-470b-9fbc-2a748e348200 · outbound

This paper cites A survey on the placement of virtual network functions,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control A survey on the placement of virtual network functions,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:46.126388Z

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Observation a32ca1fe-d1a5-4a56-852b-8d8d1a1263f8 · outbound

This paper cites Lisfc-search: Lifelong search for network sfc optimization under non-stationary drifts,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Lisfc-search: Lifelong search for network sfc optimization under non-stationary drifts,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:46.115612Z

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Observation a6dcb497-bb7e-4241-9e69-67c9c8199998 · outbound

This paper cites an unresolved cited work.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Unresolved cited work

Reference 11

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Observation ae69ba8c-9444-4506-b665-b66af9770621 · outbound

This paper cites Resource man- agement with deep reinforcement learning,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Resource man- agement with deep reinforcement learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:46.097184Z

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Observation fbe1a23e-77de-4202-b230-51d58dcf2145 · outbound

This paper cites Learning scheduling algorithms for data processing clusters,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Learning scheduling algorithms for data processing clusters,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:46.086194Z

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Observation e31c787a-c84c-498c-b896-b43067e9338b · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Semi-Supervised Classification with Graph Convolutional Networks

Reference 14

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Observation b72aeccb-9ead-4df6-8cc1-a333432f5819 · outbound

This paper cites Graph Attention Networks.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Graph Attention Networks

Reference 15

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Observation bf557c54-de53-4d1a-a2e2-dbc8d27d9510 · outbound

This paper cites Attention is all you need,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Attention is all you need,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T00:45:42.050187Z

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Observation 5638b541-091e-4210-addf-311689803f0c · outbound

This paper cites Set trans- former: A framework for attention-based permutation-invariant neural networks,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Set trans- former: A framework for attention-based permutation-invariant neural networks,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T00:45:42.189376Z

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Observation a33c2e06-d9ea-4f3c-8447-b8037733997b · outbound

This paper cites Constrained policy optimization,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Constrained policy optimization,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T00:45:42.314157Z

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Observation 3de098bf-db11-4451-a335-91fff299c1ce · outbound

This paper cites Distributed age-of-information scheduling with noma via deep reinforcement learning,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Distributed age-of-information scheduling with noma via deep reinforcement learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:46.052322Z

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Observation d3cbf8b3-0553-4577-a170-9c36cba843c9 · outbound

This paper cites A distributed abstract mac layer for cooperative learning on internet of vehicles,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control A distributed abstract mac layer for cooperative learning on internet of vehicles,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:46.041254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2137df41-44fb-4d9f-8e44-4afd4c5d1002 · outbound

This paper cites Network diffuser for placing- scheduling service function chains with inverse demonstration,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Network diffuser for placing- scheduling service function chains with inverse demonstration,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:46.029229Z

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Observation b038f6c2-3016-4095-9483-12e098d8bd94 · outbound

This paper cites Equivalence notions and model minimization in markov decision processes,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Equivalence notions and model minimization in markov decision processes,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:46.016784Z

Source-reported events for the cited work

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Observation 3e458697-09a6-4d38-9c3a-33eb4629358b · outbound

This paper cites Ravindran,An algebraic approach to abstraction in reinforcement learning.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Ravindran,An algebraic approach to abstraction in reinforcement learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:46.005575Z

Source-reported events for the cited work

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Observation 09a83596-6750-44da-be9e-f6457bea2992 · outbound

This paper cites Mdp homomorphic networks: Group symmetries in reinforcement learning,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Mdp homomorphic networks: Group symmetries in reinforcement learning,

Reference 24

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Observation c0168a48-a560-453a-ab16-7d83a5cda5f0 · outbound

This paper cites Operator-Guided Invariance Learning for Continuous Reinforcement Learning.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Operator-Guided Invariance Learning for Continuous Reinforcement Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T00:45:42.904470Z

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Observation 0652657d-05b3-4ab9-a59a-8c7920ed3066 · outbound

This paper cites Look-ahead robust network optimization with generative state predictions,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Look-ahead robust network optimization with generative state predictions,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:45.986354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 205d8d3a-4dac-45f5-a530-1e1f748a0b75 · outbound

This paper cites an unresolved cited work.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-06T00:45:45.974859Z

Source-reported events for the cited work

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Observation a0f5ed57-b850-47e9-8603-cacf2e10dec2 · outbound

This paper cites Structural properties of stochastic dynamic programs,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Structural properties of stochastic dynamic programs,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:45.963242Z

Source-reported events for the cited work

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Observation ef71413a-417f-425a-9bef-9c851808415d · outbound

This paper cites An approximate dynamic programming algorithm for monotone value functions,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control An approximate dynamic programming algorithm for monotone value functions,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:45.951644Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4928f9cf-d416-4a1c-8870-17df2d2e5609 · outbound

This paper cites Geometric coherence learning for structuring value functions in plain mdps,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Geometric coherence learning for structuring value functions in plain mdps,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:45.941936Z

Source-reported events for the cited work

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Observation 6bef4b48-654f-4b3c-8e0f-e3baf60d65ed · outbound

This paper cites Geometry of drifting mdps with path- integral stability certificates,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Geometry of drifting mdps with path- integral stability certificates,

Reference 31

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Observation e7fc4fec-4b82-47e6-8b3f-cbd21cf85530 · outbound

This paper cites Hodgeflow policy search by topolog- ically dissecting temporal-difference signals in non-markovian environ- ments,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Hodgeflow policy search by topolog- ically dissecting temporal-difference signals in non-markovian environ- ments,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:45.930771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1403880a-eafd-4f24-aec9-5d1c09d7e37b · outbound

This paper cites Altman,Constrained Markov decision processes.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Altman,Constrained Markov decision processes

Reference 33

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Observation 44948703-c4cc-4752-97ab-bcbe5e25753c · outbound

This paper cites Reward Constrained Policy Optimization.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Reward Constrained Policy Optimization

Reference 34

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Observation cb5da6cb-46ad-4ee2-8313-623dbffca527 · outbound

This paper cites Ipo: Interior-point policy optimization under constraints,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Ipo: Interior-point policy optimization under constraints,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:45.913440Z

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Observation f134d966-9200-4297-97ab-2dfc45dbc18e · outbound

This paper cites Br-defedrl: Byzantine-robust decentralized federated reinforce- ment learning with fast convergence and communication efficiency,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Br-defedrl: Byzantine-robust decentralized federated reinforce- ment learning with fast convergence and communication efficiency,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:45.903042Z

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Observation 9877f734-ee7b-4199-b272-a1abda82bd55 · outbound

This paper cites NonZero: Interaction-Guided Exploration for Multi-Agent Monte Carlo Tree Search.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control NonZero: Interaction-Guided Exploration for Multi-Agent Monte Carlo Tree Search

Reference 37

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Observation 0c5969fc-edf1-4e7a-a71a-2aa95c3124dd · outbound

This paper cites Counterfactual regret minimization-mixing for noncooperative stochastic spectrum games with imperfect information,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Counterfactual regret minimization-mixing for noncooperative stochastic spectrum games with imperfect information,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:45.892448Z

Source-reported events for the cited work

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Observation 67854fa4-0a8c-4564-8ffd-7de9acc2d371 · outbound

This paper cites Use cases and practices for intent-based networking,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Use cases and practices for intent-based networking,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:45.880784Z

Source-reported events for the cited work

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Observation cfb32b01-e476-4442-ae52-1e085c7516ca · outbound

This paper cites Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks,

Reference 40

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Observation 5a2af792-945e-4f8a-b151-a4149986cf98 · outbound

This paper cites Georgiadis, M.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Georgiadis, M

Reference 41

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Observation 6ea97422-bd1b-4887-803d-2b1c90467cd8 · outbound

This paper cites Boyd and L.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Boyd and L

Reference 42

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Observation a310dbab-f611-419a-9cab-d07dc1138bec · outbound

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Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Unresolved cited work

Reference 43

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Observation d8cba1c6-ea43-4835-94e3-faa9b4dc681c · outbound

This paper cites Deep sets,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Deep sets,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T00:45:44.848933Z

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Observation 283f74e0-8ad9-4df7-bca9-ccae3b5b9332 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Proximal Policy Optimization Algorithms

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T00:45:44.936800Z

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Observation 41ada73a-9ebb-4a48-bad2-b28bc9ef4772 · outbound

This paper cites Metric-Gradient Projection for Stable Multi-Agent Policy Learning.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Metric-Gradient Projection for Stable Multi-Agent Policy Learning

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:45:45.617991Z

Source-reported events for the cited work

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Observation 05b2ec61-0ab5-4e19-a6ef-321d350bc841 · outbound

This paper cites Intent-driven autonomous network and service management in future cellular networks: A struc- tured literature review,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Intent-driven autonomous network and service management in future cellular networks: A struc- tured literature review,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:45.837820Z

Source-reported events for the cited work

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Observation 77443358-c19c-4cf9-8d5f-8680d554863b · outbound

This paper cites Applications of deep reinforcement learning in communications and networking: A survey,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Applications of deep reinforcement learning in communications and networking: A survey,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:45.828220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 173735fc-2c26-410c-9932-627def75a4c7 · outbound

This paper cites Leveraging deep reinforcement learning for traffic engineering: A survey,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Leveraging deep reinforcement learning for traffic engineering: A survey,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:45.818148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2ef75286-160f-420d-bf7e-a3d19f702600 · outbound

This paper cites Bounding performance loss in approximate mdp homomorphisms,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Bounding performance loss in approximate mdp homomorphisms,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:45.808214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 98a76840-243e-48b8-b87f-28693981ad92 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T00:45:45.562988Z

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Observation f3b356a1-2565-4465-91e9-0873964812ae · outbound

This paper cites Network flows: Theory, algorithms, and applications,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Network flows: Theory, algorithms, and applications,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:45.792165Z

Source-reported events for the cited work

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Observation 7c359035-4df6-4901-b38a-f23cfeecb399 · outbound

This paper cites an unresolved cited work.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Unresolved cited work

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T00:45:45.569156Z

Source-reported events for the cited work

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Observation df5b0a1b-121a-40f4-aff7-3f605ece4cce · outbound

This paper cites Learning to rank using gradient descent,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Learning to rank using gradient descent,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:45.776925Z

Source-reported events for the cited work

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Observation 8eb81a88-6898-4680-abc3-a032ae4ceb5f · outbound

This paper cites A survey on mobile edge computing: The communication perspective,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control A survey on mobile edge computing: The communication perspective,

Reference 55

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Source-reported events for the cited work

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Observation 9b9f903d-7a91-4fe1-abc1-8bdc97ac9aeb · outbound

This paper cites Software-defined networking: A comprehensive survey,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Software-defined networking: A comprehensive survey,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T00:45:45.579078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4213131a-db43-4409-be2e-46be97d60b5a · outbound

This paper cites Data center network virtualization: A survey,.

Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control Data center network virtualization: A survey,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:45:45.754767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Coverage vector

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