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Paper Citation Record · LEDGER

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management

As of 17 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2506.06519.

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

pith.paper-citation-record.v1
2506.06519 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:59:21.304792Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

24 of 24 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 37136c8c-9b7a-4f01-ad2b-d30f98bdfcaa · outbound

This paper cites write newline.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:18.344791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:18.344791Z digest=sha256:62566bab6fb5fb599bf5c24524a56364d9987cb1ee65c296cee7ff4feead5300

Observation 94fe0031-506e-46a4-bcbb-78caabcb0744 · outbound

This paper cites ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:18.432966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:18.432966Z digest=sha256:3842b75666b6ddcc433ca1c1c1cf8d101aeb7c67b0ca5edd53b5632ffcdeb1eb

Observation 654f9168-1ede-4334-88a6-bd3437b06b06 · outbound

This paper cites C.-Y., Prasad, A., Saha, S., Stengel-Eskin, E., and Bansal, M.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management C.-Y., Prasad, A., Saha, S., Stengel-Eskin, E., and Bansal, M

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:18.518383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:18.518383Z digest=sha256:8ecfd95548f49d163d956530d5ccc2247c9422b223ebdbb1c7e6285d993dfd4d

Observation ff178a61-f309-4843-8f06-d6018b7250a1 · outbound

This paper cites H., Chong, K.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management H., Chong, K

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:24.256935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:59:18.660038Z digest=sha256:b9b9071a33bb62cbea5e849001ba1205b2d26e18b8d924b19415f58f54837b97

Observation a3823d45-e55b-475a-bf46-1d47df0fcccb · outbound

This paper cites Supervising strong learners by amplifying weak experts.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management Supervising strong learners by amplifying weak experts

Reference 5

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unresolved
no resolver link, observed 2026-08-07T05:59:18.822293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:18.822293Z digest=sha256:e1c9c0760ccd1a3ed1157da959863091fa877a4899b6d2a5aa4a9ce447485aad

Observation 80045f67-b3a9-438a-bb1a-ca5bfcd56a52 · outbound

This paper cites and Liu, Y.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management and Liu, Y

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:23.975010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:59:18.983212Z digest=sha256:9beb5a6fba6ea7c91d3750e5d3b2e91846411efe0b2539e4709862b521939ffa

Observation b7f87359-4b55-47c7-b0b8-b287242317ab · outbound

This paper cites and Shah, V.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management and Shah, V

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:23.735312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:59:19.128823Z digest=sha256:c2c3bf24921db789e1269e9e2faeb01251698368e0e3806aa43f67cb012c41c7

Observation fe662689-b2cd-4907-b96a-e2d1b58287ea · outbound

This paper cites Toward 6g networks: Use cases and technologies.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management Toward 6g networks: Use cases and technologies

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:23.384277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:59:19.310502Z digest=sha256:9bcd1d417f1b06c8c51cba2f75bcc620cfd0a4e563a01a6ccad89d64593d7620

Observation 5003f7eb-a117-4e10-a37a-a3aaf4dc8aba · outbound

This paper cites Self-refined generative foundation models for wireless traffic prediction.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management Self-refined generative foundation models for wireless traffic prediction

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:19.470704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:19.470704Z digest=sha256:ffe8f4ef9fd4c208ed7f4320955e44ebf20fc7ca4189ab1745eec96303c793c2

Observation 6b24a0c5-8f99-43a5-be86-ff61020ef343 · outbound

This paper cites AI safety via debate.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management AI safety via debate

Reference 10

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unresolved
no resolver link, observed 2026-08-07T05:59:19.599124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:19.599124Z digest=sha256:e4d26bdfa4a7b186553ab9da816b34fd3eca549b633c2bf72ece64d68c19ac76

Observation 31613ebc-16b1-42f1-840b-199a7909d5b5 · outbound

This paper cites Debating with More Persuasive LLMs Leads to More Truthful Answers.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management Debating with More Persuasive LLMs Leads to More Truthful Answers

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:19.759897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:19.759897Z digest=sha256:b32168ea37920781145aa3cb9461448558c2cea08814ef81e53a895bfb9f7838

Observation 4d3144e0-3fcd-4e6e-96eb-d9d2b0b1d93d · outbound

This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:19.890398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:19.890398Z digest=sha256:39f1a2c9a7b02a42ca500b07691bee100267cb5e187e09f908ebbe55457c9ae9

Observation 79ee2ea0-b571-467a-9ea2-5b60b2f33b87 · outbound

This paper cites Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:19.992856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:19.992856Z digest=sha256:71ac666d401e8c707f7823c60e5cb14822832c24c1a6166d08148750ae0a6b7c

Observation d92d1891-1a59-4c0e-81aa-69a24afa2ff6 · outbound

This paper cites D., Debbah, M., and Luo, Z.-Q.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management D., Debbah, M., and Luo, Z.-Q

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:23.129598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:59:20.078726Z digest=sha256:159181fd8555ee10742f86a41c8c68ee7add19ed60f3a2a92066b1a8edd22cdc

Observation fdf9a758-b09f-4c1c-8f42-637866e905e2 · outbound

This paper cites An Empirical Study of NetOps Capability of Pre-Trained Large Language Models.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management An Empirical Study of NetOps Capability of Pre-Trained Large Language Models

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:59:21.596812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:59:20.175789Z digest=sha256:07a452f76c0fa6055d180b55d9e6e4015cdb5d45125a53c7349a791b12636c79

Observation 2bfa32e5-6e8b-47a8-af38-82dc77f9228e · outbound

This paper cites Large language models in 6G security: challenges and opportunities.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management Large language models in 6G security: challenges and opportunities

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:20.278378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:20.278378Z digest=sha256:3f88500c26347c9f64f9c14f2a0f235f729e4a498572f672bd460ddd4f61adb6

Observation b97b6827-0be8-4b7e-a65c-f4bbf2aea8c5 · outbound

This paper cites Towards semantic mac protocols for 6g: From protocol learning to language-oriented approaches.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management Towards semantic mac protocols for 6g: From protocol learning to language-oriented approaches

Reference 17

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unresolved
no resolver link, observed 2026-08-07T05:59:20.355404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:20.355404Z digest=sha256:e64b049e097a9c090f80276a5d6e3063ac96dc44e36a4ab8ee24a80e538dd02f

Observation af737719-4b12-4a95-820b-32bab1c3e192 · outbound

This paper cites Machine learning for large-scale optimization in 6g wireless networks.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management Machine learning for large-scale optimization in 6g wireless networks

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:22.880323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:59:20.473942Z digest=sha256:582868c62ef22763fe1132669f0242c35a85e733b17fbe4299e181f5f077a7e2

Observation ba600240-1c27-4334-accc-6a4297fdeec4 · outbound

This paper cites HAFLQ: Heterogeneous Adaptive Federated LoRA Fine-tuned LLM with Quantization.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management HAFLQ: Heterogeneous Adaptive Federated LoRA Fine-tuned LLM with Quantization

Reference 19

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unresolved
no resolver link, observed 2026-08-07T05:59:20.593960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:20.593960Z digest=sha256:e77d1d98d4f1ec99a55b708eb9a8ee92c845aad52b05b0e49f89c60e2bbd6381

Observation 158a23c8-f503-4413-ab7d-6aae4f931def · outbound

This paper cites M., Arzo, S.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management M., Arzo, S

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:22.575336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:59:20.709901Z digest=sha256:df3a469bb85c3706d37afc54ac37d7b34c5c8d33793a64450239de41ece65f9a

Observation cfcfadf3-390f-4018-b498-fdd03ca1a5c8 · outbound

This paper cites Federated Fine-Tuning of LLMs: Framework Comparison and Research Directions.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management Federated Fine-Tuning of LLMs: Framework Comparison and Research Directions

Reference 21

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unresolved
no resolver link, observed 2026-08-07T05:59:20.828982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:20.828982Z digest=sha256:a7c48da970afd6b94a6324579b4267a251a89465f23cb93a8e442134bbc5af17

Observation 711462c4-9811-4a7a-8477-087ee6352a81 · outbound

This paper cites an unresolved cited work.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management Unresolved cited work

Reference 22

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unresolved
raw_fallback, observed 2026-08-07T05:59:22.310336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:59:21.012346Z digest=sha256:c989fdb3aa8704fa7fa22f3dc6c73551a4655fd91d2d59bc577e7830adc06827

Observation f503e695-48a6-4b31-aa49-cb0846fc3530 · outbound

This paper cites Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:21.160295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:21.160295Z digest=sha256:f6d85a649917e6602a1ffc0eda0a2c608aa7a99d7c1299270c28bf692f8f57de

Observation 3063dd56-c3a2-45b0-9a41-b59dcececfc8 · outbound

This paper cites Large language model (llm) for telecommunications: A comprehensive survey on principles, key techniques, and opportunities.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management Large language model (llm) for telecommunications: A comprehensive survey on principles, key techniques, and opportunities

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:22.013260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:59:21.304792Z digest=sha256:873afd0bb7359f05f188f6699b0b3dbac31c9254d0a6f92380e22a56c9ab9a72

Pith citing papers

No inbound Pith citation observations are available.