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Paper Citation Record · LEDGER

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks

As of 23 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2606.18272.

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

pith.paper-citation-record.v1
2606.18272 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T20:40:12.825545Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

30 of 30 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0abe1293-8ea9-46ea-8674-3689c7e5eba7 · outbound

This paper cites European Conference on Artificial Intelligence , year=.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks European Conference on Artificial Intelligence , year=

Reference 1

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:e9e1365fe1baabdd1f37a85284e3937f4eb96357a3dbe9efdae14c673dd60f37

Observation c7884d00-9ca2-40bc-a6f3-5b3f030ebc9a · outbound

This paper cites 2025 , volume=.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks 2025 , volume=

Reference 2

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:1a7550c58b314d32935d342b36fdf4647e364456f10fe9bf3b14fbd6c89b15e7

Observation 5e689965-8722-4bff-811d-fd9fc806d32d · outbound

This paper cites 2025 , volume=.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks 2025 , volume=

Reference 3

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:bd1f4be56fce00441013ee6407bc0e2ef7782a95d93742361a3383d89bfa5f0e

Observation 14b5f56c-2efd-4a2d-902f-cc72a648b677 · outbound

This paper cites 2025 , volume=.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks 2025 , volume=

Reference 4

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:44bf7f68e957bd6aac92cbb2d736880c1e4a159341cdbbe9289897d3f5e151ad

Observation 34019049-bd41-4095-8e52-ead67650a934 · outbound

This paper cites an unresolved cited work.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks Unresolved cited work

Reference 5

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:15f133fabb0acf6d57b947d0f0b22ba0c6e8db50543b9e016a204067eee52cb5

Observation 9d0b09f0-d5d2-496c-90be-9cc2a7d8df09 · outbound

This paper cites 2022 , publisher=.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks 2022 , publisher=

Reference 6

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:777c4a1d051d19dd3469816f4506f3ea4ddbfcb33d685fd739fdcd794e9e6880

Observation 5e71370c-c126-4a1c-8592-07fcfcc3e101 · outbound

This paper cites an unresolved cited work.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks Unresolved cited work

Reference 7

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:ae4d9ba54bada12dcec642b744654f573d90d0c4159110294791a703ebb78932

Observation 802cfd3d-d07d-4cb4-bdec-4f2372fee75d · outbound

This paper cites an unresolved cited work.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks Unresolved cited work

Reference 8

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:ae9f3b1eabd4968692e121718f870a0abb8041ac58d9f7ba257bd5c6f7084b3c

Observation f29c6c36-0946-4b46-a970-a5374f77c205 · outbound

This paper cites an unresolved cited work.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks Unresolved cited work

Reference 9

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no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:828e06f97b7fc30fc932892d45ef81483275fc0dbed97b7c3b9839a2179184ad

Observation 6551ebf6-c61a-4352-ad79-f200a994fd0a · outbound

This paper cites an unresolved cited work.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks Unresolved cited work

Reference 10

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:6764525df8f8a3f28320a481a6877c6542c461f69cdc45ff673d8d54fee4782a

Observation da458137-69a2-495d-8993-cc46bd552653 · outbound

This paper cites an unresolved cited work.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks Unresolved cited work

Reference 11

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:4d3549730ffa5691e21cc0f7c1f51d15cc7bfa20ed291948e05b584e4b253ea7

Observation f4e7941a-00bf-47b3-a25d-4c6cee50fe68 · outbound

This paper cites End-to-End Edge AI Service Provisioning Framework in 6G ORAN.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks End-to-End Edge AI Service Provisioning Framework in 6G ORAN

Reference 12

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metadata mismatch
arxiv_id, observed 2026-07-02T20:17:22.174695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:862a707b16907bde10398563911ad8763be137d73e2d991cecf97f6cb333101a

Observation 54acdec5-7716-499b-b336-8253d4697083 · outbound

This paper cites Science , volume =.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks Science , volume =

Reference 13

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:d8ba5cf025ced2b9b87b4ca2310654a7a696f0cba6168210a99d8effd61b33b2

Observation 841ef56a-159a-470e-b39a-4d01a5ab2d58 · outbound

This paper cites 2002 , publisher=.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks 2002 , publisher=

Reference 14

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:2b5817b70775cbaa3292fbc175c062663cb4283cec8cc3f52699dbb1321108cd

Observation 518523f9-d33e-41bb-a0da-2acccd89b2a9 · outbound

This paper cites Bayesian Inference-Aided Large Language Model Agents in Infinitely Repeated Games: A Dynamic Network View , year=.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks Bayesian Inference-Aided Large Language Model Agents in Infinitely Repeated Games: A Dynamic Network View , year=

Reference 15

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:90117ff82f9b637fe1d8ad84e17f64782ccace3a551ebd2a21b8c83681b656d7

Observation 1380dfbf-05d1-4705-8567-49c21141fa9d · outbound

This paper cites A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks

Reference 16

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metadata mismatch
local_arxiv, observed 2026-07-02T20:17:22.177250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:df6fd0b4147a5fbace910074d16eeb204eff361d67e36f1127eb31273b28b164

Observation 0dece34a-ccfa-47c7-afd3-3340e17fd00e · outbound

This paper cites From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review

Reference 17

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metadata mismatch
local_arxiv, observed 2026-07-02T20:17:22.179805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:619797d676757a2ec26e6d62c40664c45a5bf66c8de1783d1e41f9d53c403c2f

Observation 3c72ec6d-c4c6-4f78-af76-ec25b0651407 · outbound

This paper cites Toward an unbiased collective memory for efficient llm- based agentic 6g cross-domain management.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks Toward an unbiased collective memory for efficient llm- based agentic 6g cross-domain management

Reference 18

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metadata mismatch
arxiv_id, observed 2026-07-02T20:17:22.182605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:a089459003722ac0b98a20b3fab9636d527db1cb14b06cf08a27ea0d9ae2f1f5

Observation aea31851-be08-4b1b-b4f7-3866621181c4 · outbound

This paper cites Science , volume =.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks Science , volume =

Reference 19

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no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:994f99c11abdcacd267b4917c5271b23dba0575a70cd58e87eb818e5a696c8e3

Observation 754a0e00-1f6a-4ad9-88d4-a965ee662ee1 · outbound

This paper cites and Zhao, J.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks and Zhao, J

Reference 20

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:9512c219a25d44ccd7ba866b0d86fb61d34e4843a04833f3defff65e94ac94ed

Observation 13bfaa10-e32f-49e9-b59f-a75335698e8e · outbound

This paper cites 2025 , eprint=.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks 2025 , eprint=

Reference 21

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:86aa510c4368dec0d5a7f512eb28a93925c901312f6bf61e371db7646dcef516

Observation ea945ec2-1381-4503-be35-9b373a9f87b4 · outbound

This paper cites Risk-Aware Optimization of Age of Information in the Internet of Things , year=.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks Risk-Aware Optimization of Age of Information in the Internet of Things , year=

Reference 22

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no resolver link, observed 2026-06-27T20:40:12.825545Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:daa75fa53527a037d5613e124c24e70ebd9f0272748d7406f25de102dabc3ca5

Observation 60fc4ba4-a944-4b7a-a092-04a219e17643 · outbound

This paper cites and Bennis, Mehdi and Kumar Bairagi, Anupam and Hong, Choong Seon , journal=.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks and Bennis, Mehdi and Kumar Bairagi, Anupam and Hong, Choong Seon , journal=

Reference 23

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no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:0bb5d2c4afe81edc409be5a81a5bb5f31295cac73cb527a22495c68697f5ad90

Observation e6049fdb-2d43-43d6-a704-691927581ea1 · outbound

This paper cites Agentic World Modeling for 6G: Near-Real-Time Generative State-Space Reasoning.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks Agentic World Modeling for 6G: Near-Real-Time Generative State-Space Reasoning

Reference 24

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metadata mismatch
local_arxiv, observed 2026-07-02T20:17:22.184991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:1934e0f45577272eb3aa1b408edbf064d5176a8ce2723f7071b373a3ffeaf91c

Observation eb37b41e-d7e3-462d-8952-6624fd6252b9 · outbound

This paper cites , journal=.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks , journal=

Reference 25

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:de77528fc8bda8b2beb2fe9bfaff1afbf9356ab1d788c3519a92ee8d0553a7d6

Observation f10e1091-da03-4956-9b9b-81bc2ac7d9ff · outbound

This paper cites and Todd, Michael D.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks and Todd, Michael D

Reference 26

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:9d9a4de66c864f6cdf603356d113db558979592a8c22e4036b4f8b21c83af37b

Observation 4d5fd3be-aebc-431e-a87f-b803e1d241be · outbound

This paper cites A Digital Twin approach based on nonparametric Bayesian network for complex system health monitoring , journal =.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks A Digital Twin approach based on nonparametric Bayesian network for complex system health monitoring , journal =

Reference 27

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verified exact
doi, observed 2026-06-27T20:41:14.036347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:31594ee8e6449c1ee63aa5b6fbb536dc70e5c8c7860e60dba0d9ee33da6fce9d

Observation d588d626-4090-46e6-8185-c66a45d6debe · outbound

This paper cites 2025 , url=.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks 2025 , url=

Reference 28

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:d4e41964caf78bba4b0d5784e7331983f1950f923473b6de21fe744a352d9b2e

Observation abf54ffb-091b-4af4-a5ac-db690e650a4d · outbound

This paper cites Understanding Bias Reinforcement in.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks Understanding Bias Reinforcement in

Reference 29

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no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:6e1334542cfa3b88ecd45595f8024e60efe6311e7a03207243cae9ed94fd0e8c

Observation 6e9cadd4-6494-4930-ab75-752bfdef5b20 · outbound

This paper cites 2026 , url=.

Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks 2026 , url=

Reference 30

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unresolved
no resolver link, observed 2026-06-27T20:40:12.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T20:40:12.825545Z digest=sha256:dfa5cf4005b22d699cd3777f50e5f553c4db688bbbee81da03696059d19db461

Pith citing papers

No inbound Pith citation observations are available.