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Paper Citation Record · LEDGER

Constraint-Compliant Network Optimization through Large Language Models

As of 19 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2509.07492.

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

pith.paper-citation-record.v1
2509.07492 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:08:54.487665Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9341ab7-7424-447b-9ad1-5a68d411a693 · outbound

This paper cites IoT mid- dleware: A survey on issues and enabling technologies,.

Constraint-Compliant Network Optimization through Large Language Models IoT mid- dleware: A survey on issues and enabling technologies,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 794bd1e3-9bb8-478c-a0ec-854417c00071 · outbound

This paper cites A review of dynamic holographic three- dimensional display: Algorithms, devices, and systems,.

Constraint-Compliant Network Optimization through Large Language Models A review of dynamic holographic three- dimensional display: Algorithms, devices, and systems,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:08:59.291638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 40202cc4-48d6-4a23-b635-91e892f5f51d · outbound

This paper cites A survey on metaverse: Fundamentals, security, and pri- vacy,.

Constraint-Compliant Network Optimization through Large Language Models A survey on metaverse: Fundamentals, security, and pri- vacy,

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 50af2c3f-1627-4795-9e35-785956f94bc1 · outbound

This paper cites Towards artificial intelligence ena bled 6G: State of the art, challenges, and opportunities,.

Constraint-Compliant Network Optimization through Large Language Models Towards artificial intelligence ena bled 6G: State of the art, challenges, and opportunities,

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 878590a6-207b-4869-99fb-62686252920a · outbound

This paper cites Goodfellow, Y.

Constraint-Compliant Network Optimization through Large Language Models Goodfellow, Y

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ac0f9d93-06dc-435f-b8a4-657a172d9986 · outbound

This paper cites Deep learning for dist ributed op- timization: Applications to wireless resource management ,.

Constraint-Compliant Network Optimization through Large Language Models Deep learning for dist ributed op- timization: Applications to wireless resource management ,

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9d6500e1-8879-4e69-9b7d-2958a8f0e1a6 · outbound

This paper cites Big AI models for 6G wireles s networks: Opportunities, challenges, and research directions,.

Constraint-Compliant Network Optimization through Large Language Models Big AI models for 6G wireles s networks: Opportunities, challenges, and research directions,

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6d701d0a-318e-4807-89e2-37f9527d96f5 · outbound

This paper cites Large language model enhanced multi-agent systems for 6G communications,.

Constraint-Compliant Network Optimization through Large Language Models Large language model enhanced multi-agent systems for 6G communications,

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f1ce76ea-e479-44d4-857d-72b4da9d0fd8 · outbound

This paper cites A Survey of Large Language Models.

Constraint-Compliant Network Optimization through Large Language Models A Survey of Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T22:08:52.533506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 524721b6-72fd-4ad7-8252-0e929855708c · outbound

This paper cites Large Language Models as Optimizers.

Constraint-Compliant Network Optimization through Large Language Models Large Language Models as Optimizers

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T22:08:52.699618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 64dbf09a-6293-4cbe-8020-06b59c053bb5 · outbound

This paper cites Large lang uage mod- els as evolutionary optimizers,.

Constraint-Compliant Network Optimization through Large Language Models Large lang uage mod- els as evolutionary optimizers,

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c96a535b-7ccc-4e8e-be69-9d6971cde185 · outbound

This paper cites an unresolved cited work.

Constraint-Compliant Network Optimization through Large Language Models Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-04T22:08:57.227020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:08:53.028277Z digest=sha256:fb85adbab184c3543d24a31852336759202fd542c3542766b5594265a87e1483

Observation 090e0685-f51d-4fcd-85b9-b182e529e217 · outbound

This paper cites Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities.

Constraint-Compliant Network Optimization through Large Language Models Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T22:08:53.169495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 25594ad8-d6b6-4e50-8b02-2ec0add9ed07 · outbound

This paper cites Optimizing wireless systems using unsupervised and reinforced-unsupervised deep learning,.

Constraint-Compliant Network Optimization through Large Language Models Optimizing wireless systems using unsupervised and reinforced-unsupervised deep learning,

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ea3a1c45-b352-4bc8-93f9-6599c0a6226f · outbound

This paper cites Dri ving forces for multi-access edge computing (MEC) IoT integration in 5G ,.

Constraint-Compliant Network Optimization through Large Language Models Dri ving forces for multi-access edge computing (MEC) IoT integration in 5G ,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:08:56.560920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation efe3f969-7989-452f-952b-059bfd46efe5 · outbound

This paper cites On sum-rate maxim ization in downlink UA V -aided RSMA systems.

Constraint-Compliant Network Optimization through Large Language Models On sum-rate maxim ization in downlink UA V -aided RSMA systems

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:08:56.313249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:08:53.589835Z digest=sha256:71f5f5f7e6a132da63d7e8ab2a04083f9242be3e2a7b70257e21656fc9e2dba8

Observation 488a73c4-9722-4710-965e-3d9640001617 · outbound

This paper cites Two-stage optimization of co mputation of- floading for ICN-assisted mobile edge computing in 6G networ k,.

Constraint-Compliant Network Optimization through Large Language Models Two-stage optimization of co mputation of- floading for ICN-assisted mobile edge computing in 6G networ k,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:08:55.998257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1d461911-c127-4724-b019-8e14087f644a · outbound

This paper cites A Survey on In-context Learning.

Constraint-Compliant Network Optimization through Large Language Models A Survey on In-context Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T22:08:53.892774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d4728ef2-ecfc-47aa-bbf5-4a1b48842af8 · outbound

This paper cites O ffloading in mobile edge computing: Task allocation and computational frequen cy scaling,.

Constraint-Compliant Network Optimization through Large Language Models O ffloading in mobile edge computing: Task allocation and computational frequen cy scaling,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:08:55.723744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c5e0db2b-e332-42c4-8976-47c164f9bdf6 · outbound

This paper cites Latency mini mization for mobile edge computing networks,.

Constraint-Compliant Network Optimization through Large Language Models Latency mini mization for mobile edge computing networks,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:08:55.502174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1b806222-19c5-4bbd-bbb9-a318eb4df21a · outbound

This paper cites Deep reinforcement learning based latency minimization for mobile edge computing with virtualizatio n in maritime UA V communication network,.

Constraint-Compliant Network Optimization through Large Language Models Deep reinforcement learning based latency minimization for mobile edge computing with virtualizatio n in maritime UA V communication network,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:08:55.212024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d6cf21f1-48eb-413f-a8b2-440421860462 · outbound

This paper cites Dynamic resour ce prediction and allocation in C-RAN with edge artificial intelligence,.

Constraint-Compliant Network Optimization through Large Language Models Dynamic resour ce prediction and allocation in C-RAN with edge artificial intelligence,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:08:54.911724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers

No inbound Pith citation observations are available.