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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2608.00908.

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

pith.paper-citation-record.v1
2608.00908 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:45:45.582512Z

measured 57 of 57 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

57 of 57 outbound references displayed

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  • verified fuzzy32
  • unresolved24
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

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

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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

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

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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

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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.

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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

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

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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

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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.

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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

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

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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

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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.

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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

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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.

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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

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

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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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Unavailable: canonical work link unavailable.

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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

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

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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

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

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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

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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

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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

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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

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

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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

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

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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

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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.

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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

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

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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

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

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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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Unavailable: canonical work link unavailable.

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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

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Unavailable: canonical work link unavailable.

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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

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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.

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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

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

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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

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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.

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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

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

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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

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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.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:45:43.459005Z digest=sha256:0b8003bd15b4ecc90335df927fba2f0b2d80a630892cd0f7246efe9adedee7a6

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

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raw_fallback, observed 2026-08-06T00:45:45.930771Z

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

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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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no resolver link, observed 2026-08-06T00:45:43.707331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:45:43.707331Z digest=sha256:e273573d82e1b6030843d66cfaa31c1a237471256715c05a978c18bbbea1599f

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:45:43.811840Z digest=sha256:c37b5dda12bd5e9fa0cb61069fb8edfc3162d9bfce927dd002a4c1d2b3e73b4b

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

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raw_fallback, observed 2026-08-06T00:45:45.913440Z

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.

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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

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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.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:45:44.208070Z digest=sha256:7548f1836eb5167ea5f4400154054055cdd9115ed57fda06d8c47b60d1f9b267

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

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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.

source=pdf_text observed=2026-08-06T00:45:44.307777Z digest=sha256:c6792a683f5c1acbb769f7ddbdef528451efbf78243bbebfdc8bbac351007d2b

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

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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.

source=pdf_text observed=2026-08-06T00:45:44.414061Z digest=sha256:b6dd6beb4ec629f082136ea8128328a77e0e3e02eb28941071606da2c01f4b24

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:45:44.528869Z digest=sha256:21e4291a245a69d2e13680393ceb105cbf306b67f315997166470f85e2122390

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:45:44.632909Z digest=sha256:3406237cc87001e5bb620ce7029c3ac849cc6dfa2afc376871f96ea338676c56

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:45:44.740312Z digest=sha256:8e470fae8ecd9bc6ef8faf5d049901668b839ce11e2db8a1d74ea9e0127e5306

Observation a310dbab-f611-419a-9cab-d07dc1138bec · 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 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:45:44.786650Z digest=sha256:d8b07b429b1e07cf2805cbbd33c495be8e7a94a5a32533f4bcf4712d33b6e12b

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:45:44.848933Z digest=sha256:2f3e197392516f9fa3788d8b6e5648e82985b29dd2d17d36f1887ffc648fa7ef

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:45:44.936800Z digest=sha256:c1385e6ba663bc0092599aad0d0d2a24e5ea00aadf87bdd2f62ca24508d9daeb

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

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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.

source=pdf_text observed=2026-08-06T00:45:45.078825Z digest=sha256:1cc2df4d11e4a0677be1b0f6ca477ac63c22ea26f6f794fd34be783821daa679

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

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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.

source=pdf_text observed=2026-08-06T00:45:45.274697Z digest=sha256:b965effeaf8e18d43ed9b2df303bf773220ad06fe2befcfe1bfe338deb9e83ad

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

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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.

source=pdf_text observed=2026-08-06T00:45:45.473573Z digest=sha256:6667831b6d762ae2506a1133e51fedcf0ab22336e8dda0cecac397f7bf52d63d

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

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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.

source=pdf_text observed=2026-08-06T00:45:45.553381Z digest=sha256:8cb68d8382571458bb6debbaff981ff344838e636399febee68ad442ea4fc220

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

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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.

source=pdf_text observed=2026-08-06T00:45:45.558888Z digest=sha256:463e20a576a7166d4374e2b1f97d6dc71a4bf01f40b3cacc60595bd870beb3aa

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:45:45.562988Z digest=sha256:97130a9b838632b0ad07c783b4cd24dda3cd00f62c9e532ca6717a3a23b0de83

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

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raw_fallback, observed 2026-08-06T00:45:45.792165Z

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.

source=pdf_text observed=2026-08-06T00:45:45.565981Z digest=sha256:99ca9dbae8f95c0bcf76e5d7567dd72548dbd110a7ed22673d9b5b69ab4c168f

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:45:45.569156Z digest=sha256:d7fc882434c96793c5cdea2ecdcc4c8be189c55358a855e059f1ba4e8644a555

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

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raw_fallback, observed 2026-08-06T00:45:45.776925Z

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.

source=pdf_text observed=2026-08-06T00:45:45.572393Z digest=sha256:1f8debb313617bee60b84d9eaa37f69538620940a714d266d57fd6aa95ae80ac

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:45:45.575647Z digest=sha256:34207baedb8ff3b14be5341db8d08670b31aa979ae8cb48bef194e9b902bc029

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:45:45.579078Z digest=sha256:ea1461bf42c11928f73a7d6de4b82224b4639e5e8479babf1064c7424b7e26c0

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:45:45.582512Z digest=sha256:27528c5fa35b607b35b8a86eceb850a41f53023d6c018a6fdcdbf2f5de33c14c

Pith citing papers

No inbound Pith citation observations are available.