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Paper Citation Record · LEDGER

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs

As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2607.25959.

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

pith.paper-citation-record.v1
2607.25959 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

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measured 41 of 41 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

41 of 41 outbound references displayed

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External citation measurements

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Outbound references

Observation b34842d8-d964-479a-9fb8-627531ff9bb3 · outbound

This paper cites In: 3rd Workshop on NaturalLanguageGeneration,Evaluation,andMetrics.pp.97–110.Associationfor Computational Linguistics, Singapore (Dec 2023),https://aclanthology.org/ 2023.gem-1.9/.

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: 3rd Workshop on NaturalLanguageGeneration,Evaluation,andMetrics.pp.97–110.Associationfor Computational Linguistics, Singapore (Dec 2023),https://aclanthology.org/ 2023.gem-1.9/

Reference 2

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Observation b7813544-00b4-4fde-b22e-baa6a968002d · outbound

This paper cites In: Advances in Neural Information Processing Sys- tems (NeurIPS).

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: Advances in Neural Information Processing Sys- tems (NeurIPS)

Reference 3

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This paper cites DRAGged into Conflicts: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs.

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs DRAGged into Conflicts: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs

Reference 4

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Observation 6d1ec799-1b22-411e-95fc-ccd9ba98bcc4 · outbound

This paper cites In: 9th International Conference on Learning Rep- resentations (ICLR) (2021).

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: 9th International Conference on Learning Rep- resentations (ICLR) (2021)

Reference 5

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

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: Findings of the Association for Computational Linguistics: EMNLP

Reference 6

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs Unresolved cited work

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This paper cites In: Companion Proceedings of the ACM Web Confer- ence 2024.

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: Companion Proceedings of the ACM Web Confer- ence 2024

Reference 8

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This paper cites In: 24th International Confer- ence on Conceptual Structures (ICCS).

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: 24th International Confer- ence on Conceptual Structures (ICCS)

Reference 9

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This paper cites In: International Conference on Language Resources and Evaluation (LREC).

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: International Conference on Language Resources and Evaluation (LREC)

Reference 10

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This paper cites In: Conference on Empirical Methods in Natural Language Process- ing (EMNLP).

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: Conference on Empirical Methods in Natural Language Process- ing (EMNLP)

Reference 11

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This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 12

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This paper cites In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Reference 13

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs Unresolved cited work

Reference 14

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs Transactions on Graph Data and Knowledge3(1), 3:1–3:48 (2025).https://doi.org/10.4230/TGDK.3.1.3,https: //drops.dagstuhl.de/entities/document/10.4230/TGDK.3.1.3

Reference 15

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Observation 38e962ef-f5c7-472b-8712-1e33db14bf45 · outbound

This paper cites In: 13th Knowledge Capture Conference (K-CAP).

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: 13th Knowledge Capture Conference (K-CAP)

Reference 16

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Observation 780351a1-0590-49b1-90df-b68e67a6b49f · outbound

This paper cites In: Conference on Empirical Methods in Natural Language Processing (EMNLP).

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: Conference on Empirical Methods in Natural Language Processing (EMNLP)

Reference 17

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This paper cites Transactions of the Association for Computational Linguistics7, 452–466 (2019).https://doi.org/10.1162/tacl_ a_00276,https://aclanthology.org/Q19-1026/.

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs Transactions of the Association for Computational Linguistics7, 452–466 (2019).https://doi.org/10.1162/tacl_ a_00276,https://aclanthology.org/Q19-1026/

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: Advances in Neural Information Processing Systems

Reference 19

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: Findings of the Association for Computational Linguistics: EMNLP

Reference 20

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: Findings of the Association for Computational Linguistics: NAACL

Reference 21

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: Conference on Empirical Methods in Natural Language Processing (EMNLP)

Reference 22

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: 2nd Work- shop on Uncertainty-Aware NLP

Reference 23

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs Transactions of the Association for Computa- tional Linguistics10, 35–49 (2022).https://doi.org/10.1162/tacl_a_00446, https://aclanthology.org/2022.tacl-1.3/

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: Conference on Empiri- cal Methods in Natural Language Processing (EMNLP)

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing

Reference 26

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: International Semantic Web Conference (ISWC)

Reference 27

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: Conference on Empirical Methods in Natural Language Processing (EMNLP) (2019)

Reference 28

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: Conference on Empirical Methods in Natural Language Pro- cessing (EMNLP)

Reference 29

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: Semantic Web Evaluation Challenge

Reference 30

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Reference 31

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs Com- munications of the ACM57(10), 78–85 (2014)

Reference 32

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: 24th International Semantic Web Conference (ISWC)

Reference 33

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: 2nd Conference on Language Modeling (2025), https://openreview.net/forum?id=z1MHB2m3V9

Reference 35

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: International Workshop on Extraction from Triplet Text-Table-Knowledge Graph (TRIPLET) (2026)

Reference 36

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This paper cites Transactions of the Association for Com- putational Linguistics14, 23–46 (2026).https://doi.org/10.1162/tacl.a.64, https://aclanthology.org/2026.tacl-1.2/.

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs Transactions of the Association for Com- putational Linguistics14, 23–46 (2026).https://doi.org/10.1162/tacl.a.64, https://aclanthology.org/2026.tacl-1.2/

Reference 37

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Source-reported events for the cited work

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Observation adf06e8c-7056-46e2-b9d7-d0d1fd570477 · outbound

This paper cites In: Conference on Empirical Methods in Natu- ral Language Processing (2024).

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: Conference on Empirical Methods in Natu- ral Language Processing (2024)

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites In: Conference on Empirical Methods in Natural Language Processing (EMNLP).

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: Conference on Empirical Methods in Natural Language Processing (EMNLP)

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 93bf96f1-a795-49e4-8011-389bd5c1dc42 · outbound

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Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs Qwen3 Technical Report

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites In: 53rd Annual Meet- ing of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing.

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs In: 53rd Annual Meet- ing of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing

Reference 41

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0e19f8d5-d930-4cf5-9a7f-b32559058f14 · outbound

This paper cites an unresolved cited work.

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs Unresolved cited work

Reference 1480

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.