Paper Citation Record · LEDGER

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph

As of 21 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.17266.

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

pith.paper-citation-record.v1
2607.17266 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:34:18.282740Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

43 of 43 outbound references displayed

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verified fuzzy0
unresolved43
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87343369-e01f-4496-bc19-f81c3c29b291 · outbound

This paper cites In: Proceedings of the 2008 ACM SIGMOD international conference on management of data.

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Proceedings of the 2008 ACM SIGMOD international conference on management of data

Reference 1

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Observation 95ba9f0b-b569-4b42-979e-804a7b6c50e1 · outbound

This paper cites Advances in neural information processing systems33, 1877–1901 (2020).

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph Advances in neural information processing systems33, 1877–1901 (2020)

Reference 2

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This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Proceedings of the AAAI conference on artificial intelligence

Reference 3

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Observation f15aca2f-c8d6-4107-938f-63500a2df0d8 · outbound

This paper cites Data Intelligence 6(3), 587–620 (2024).

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph Data Intelligence 6(3), 587–620 (2024)

Reference 4

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Proc

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Proc

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Observation d59e3091-45d2-4f9b-8dff-2fd802f82b3d · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering35(8), 8343–8357 (2022).

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph IEEE Transactions on Knowledge and Data Engineering35(8), 8343–8357 (2022)

Reference 7

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Proc

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This paper cites In: Forty-first International Conference on Machine Learning (2023).

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Forty-first International Conference on Machine Learning (2023)

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This paper cites In: Findings of the Association for Computa- tional Linguistics: ACL 2025.

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Findings of the Association for Computa- tional Linguistics: ACL 2025

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph Unresolved cited work

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Observation a494fe8e-cdb9-46f0-b9b2-56d45f8eb5ef · outbound

This paper cites ACM Computing Surveys54(4), 1–37 (2021).

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph ACM Computing Surveys54(4), 1–37 (2021)

Reference 12

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This paper cites In: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 13

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph GPT-4o System Card

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This paper cites ACM Computing Surveys55(12), 1–38 (2023).

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph ACM Computing Surveys55(12), 1–38 (2023)

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This paper cites In: Proceedings of the International Conference on Learning Representations (ICLR) (2024) Debate-on-Graph 17.

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Proceedings of the International Conference on Learning Representations (ICLR) (2024) Debate-on-Graph 17

Reference 16

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This paper cites In: Forty-second International Conference on Machine Learning (2025).

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Forty-second International Conference on Machine Learning (2025)

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This paper cites In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing.

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

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Observation 683c0467-fffc-41e7-ad9a-77a30df2b206 · outbound

This paper cites In: Findings of the As- sociation for Computational Linguistics: ACL 2025.

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Findings of the As- sociation for Computational Linguistics: ACL 2025

Reference 19

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph IEEE Transactions on Knowledge and Data Engineering36(7), 3580–3599 (2024)

Reference 21

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This paper cites In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP).

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

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This paper cites JMIR Medical Informatics13(1), e75279 (2025).

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph JMIR Medical Informatics13(1), e75279 (2025)

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Proceedings of the AAAI conference on artificial intelli- gence

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph The Knowledge Engineering Re- view39, e4 (2024)

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: The Twelfth International Conference on Learning Representations (ICLR) (2023)

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This paper cites In: Findings of the Association for Computational Linguistics: ACL 2024.

Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Findings of the Association for Computational Linguistics: ACL 2024

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph CommonsenseQA 2.0: Exposing the Limits of AI through Gamification

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Proceedings of the ACM on Web Conference 2025

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph Gemini: A Family of Highly Capable Multimodal Models

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph Com- munications of the ACM57(10), 78–85 (2014)

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Proc

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph Self-Consistency Improves Chain of Thought Reasoning in Language Models

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph Advances in neural information processing systems35, 24824–24837 (2022)

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: Proceedings of the 62nd Annual Meet- ing of the Association for Computational Linguistics (Volume 1: Long Papers)

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph Health Information Science and Systems13(1), 63 (2025)

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph Advances in Neu- ral Information Processing Systems38, 171548–171567 (2025)

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph Qwen3 Technical Report

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph Information Sciences609, 679–690 (2022)

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph

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Debate-on-Graph: Reliable and Adaptive Reasoning of Large Language Model on Uncertain Knowledge Graph In: International conference on database systems for ad- vanced applications

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Pith citing papers

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