Paper Citation Record · LEDGER

How Reliable are LLMs for Reasoning on the Re-ranking task?

As of 8 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2508.18444.

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

pith.paper-citation-record.v1
2508.18444 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:30:44.815207Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

44 of 44 outbound references displayed

verified exact1
verified fuzzy27
unresolved16
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d121120a-a856-4526-bbb5-b48e7b0754dc · outbound

This paper cites In: SC22: International Conference for High Performance Computing, Networking, Storage and Analysis.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: SC22: International Conference for High Performance Computing, Networking, Storage and Analysis

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:50.274754Z

Source-reported events for the cited work

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Observation 6a7e7274-9277-48da-bc09-340b90841ec6 · outbound

This paper cites In: Learn- ing.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Learn- ing

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:50.105091Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 511e8672-6028-4ff3-80c7-5b4893882026 · outbound

This paper cites In: Proceedings of the 22nd International Conference on Machine Learning (ICML).

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Proceedings of the 22nd International Conference on Machine Learning (ICML)

Reference 3

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Observation 10f1cc59-c6a2-4d96-8c1c-e9fc3908a7c5 · outbound

This paper cites ACM Transactions on Recommender Systems (2024).

How Reliable are LLMs for Reasoning on the Re-ranking task? ACM Transactions on Recommender Systems (2024)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:49.945132Z

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Observation a8e6ff70-c412-43ae-b96f-2a50819f6699 · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2017).

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Advances in Neural Information Processing Systems (NeurIPS) (2017)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:49.775007Z

Source-reported events for the cited work

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Observation 8a1c00f2-e967-4bc6-8daf-ee46d38d6492 · outbound

This paper cites In: Burstein, J., Doran, C., Solorio, T.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Burstein, J., Doran, C., Solorio, T

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T16:30:44.640058Z

Source-reported events for the cited work

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Observation 22acbdce-4508-4b10-949e-3856f4dde193 · outbound

This paper cites https://www.elastic.co/elasticsearch/ (2025), version 8.x.

How Reliable are LLMs for Reasoning on the Re-ranking task? https://www.elastic.co/elasticsearch/ (2025), version 8.x

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:49.625316Z

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Observation 55b648d4-4187-4035-b6c1-61a49fb3062e · outbound

This paper cites https://eur- lex.europa.eu/eli/reg/2016/679/oj (2016), regulation (EU) 2016/679 of the Eu- ropean Parliament and of the Council.

How Reliable are LLMs for Reasoning on the Re-ranking task? https://eur- lex.europa.eu/eli/reg/2016/679/oj (2016), regulation (EU) 2016/679 of the Eu- ropean Parliament and of the Council

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:49.483850Z

Source-reported events for the cited work

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Observation be7b5a44-de3b-47aa-9ac3-ef3ba325afb9 · outbound

This paper cites Open Research Europe1, 68 (2023).

How Reliable are LLMs for Reasoning on the Re-ranking task? Open Research Europe1, 68 (2023)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:49.324749Z

Source-reported events for the cited work

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Observation dcc100e4-aa24-41f5-bae0-ebf8fe6a9ef5 · outbound

This paper cites LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations.

How Reliable are LLMs for Reasoning on the Re-ranking task? LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations

Reference 10

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Observation d031b4dc-abb0-4561-9ced-5f66b8a7c20e · outbound

This paper cites ACM Transactions on Information Systems42(3), 1–23 (2024) 16 Islam et al.

How Reliable are LLMs for Reasoning on the Re-ranking task? ACM Transactions on Information Systems42(3), 1–23 (2024) 16 Islam et al

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:49.174895Z

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Observation e5728cd8-7cda-49ae-93f5-58bbe9ea773f · outbound

This paper cites In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:49.026371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 259be096-fc00-450b-93a2-cddbf28f555d · outbound

This paper cites In: Proceedings of the 24th ACM international on conference on information and knowledge management.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Proceedings of the 24th ACM international on conference on information and knowledge management

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:48.874750Z

Source-reported events for the cited work

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Observation 39edaf60-d22f-46fc-ab49-6a14b2500d87 · outbound

This paper cites In: Proceedings of the 2000 ACM conference on Computer supported cooperative work.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Proceedings of the 2000 ACM conference on Computer supported cooperative work

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:48.724741Z

Source-reported events for the cited work

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Observation 376fe0b8-9982-4727-8bd2-eb75db0dd6c8 · outbound

This paper cites In: Proceedings of the 22nd ACM International Conference on Information & Knowledge Manage- ment.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Proceedings of the 22nd ACM International Conference on Information & Knowledge Manage- ment

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:48.595165Z

Source-reported events for the cited work

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Observation 6d7e7bb7-f62e-42e8-9baf-1941f4e5cbc3 · outbound

This paper cites In: Proceedings of the 44th International ACM SIGIR conference on Research and Development in Information Retrieval.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Proceedings of the 44th International ACM SIGIR conference on Research and Development in Information Retrieval

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:48.414843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation be36e7f7-d702-4bd2-ac51-7a7edcedbc6f · outbound

This paper cites Personalized Transformer for Explainable Recommendation.

How Reliable are LLMs for Reasoning on the Re-ranking task? Personalized Transformer for Explainable Recommendation

Reference 17

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Observation d5f09c51-5d2d-4de1-a577-42b62197018a · outbound

This paper cites In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:48.285426Z

Source-reported events for the cited work

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Observation ff58e449-fa34-4908-8602-5de7b8b32287 · outbound

This paper cites A Survey of Graph Meets Large Language Model: Progress and Future Directions.

How Reliable are LLMs for Reasoning on the Re-ranking task? A Survey of Graph Meets Large Language Model: Progress and Future Directions

Reference 19

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Observation 91e49bfb-66cc-43e1-b6cf-d1c79640020e · outbound

This paper cites In: Proceedings of the ACM on Web Conference 2025.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Proceedings of the ACM on Web Conference 2025

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T16:30:44.704262Z

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Observation 11d5e21b-9ef9-4767-bb5c-9ea37ef9bd0b · outbound

This paper cites In: Text Summarization Branches Out.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Text Summarization Branches Out

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:48.085191Z

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Observation 4d2fd348-10df-4561-a2bc-c1863624a94e · outbound

This paper cites ACM Trans.

How Reliable are LLMs for Reasoning on the Re-ranking task? ACM Trans

Reference 22

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Observation d496271f-8ce4-4a74-a82f-71155e20ee26 · outbound

This paper cites LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking.

How Reliable are LLMs for Reasoning on the Re-ranking task? LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking

Reference 23

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This paper cites In: Proceedings of the 29th ACM Interna- tional Conference on Information & Knowledge Management.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Proceedings of the 29th ACM Interna- tional Conference on Information & Knowledge Management

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:47.925751Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0bedf67d-bbd2-4068-bb39-d9a7ebc0f2d2 · outbound

This paper cites In: Proceedings of the 31st International Conference on Neural Information Processing Systems (NeurIPS).

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Proceedings of the 31st International Conference on Neural Information Processing Systems (NeurIPS)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:47.774741Z

Source-reported events for the cited work

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Observation 45b26abd-08be-475e-b415-e917eb68d612 · outbound

This paper cites XRec: Large Language Models for Explainable Recommendation.

How Reliable are LLMs for Reasoning on the Re-ranking task? XRec: Large Language Models for Explainable Recommendation

Reference 26

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Observation 349a4e3a-3311-462b-9b35-9a90cc4e03b5 · outbound

This paper cites Passage Re-ranking with BERT.

How Reliable are LLMs for Reasoning on the Re-ranking task? Passage Re-ranking with BERT

Reference 27

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This paper cites In: Proceedings of the 40th annual meeting of the Association for Computational Linguistics.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Proceedings of the 40th annual meeting of the Association for Computational Linguistics

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T16:30:44.741003Z

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This paper cites Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs.

How Reliable are LLMs for Reasoning on the Re-ranking task? Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs

Reference 29

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How Reliable are LLMs for Reasoning on the Re-ranking task? In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:47.474738Z

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Observation 8ae2d6f0-bf01-4dbb-ac6a-83a6d5177028 · outbound

This paper cites In: Interna- tional Conference on Learning Representations (ICLR) (2023).

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Interna- tional Conference on Learning Representations (ICLR) (2023)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:47.304740Z

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Observation bdf6c8bd-5f16-4aa9-92b5-3f8ed2b91ced · outbound

This paper cites why should i trust you?.

How Reliable are LLMs for Reasoning on the Re-ranking task? why should i trust you?

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:47.134744Z

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Observation 0d335e8b-d7da-4cee-ba46-66f005d88f18 · outbound

This paper cites In: ACM SIGIR Conference.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: ACM SIGIR Conference

Reference 33

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Observation 79736fc1-37e2-44cd-9c20-df9cc4af13f9 · outbound

This paper cites Foundations and Trends in Information Retrieval3(4), 333–389 (2009).

How Reliable are LLMs for Reasoning on the Re-ranking task? Foundations and Trends in Information Retrieval3(4), 333–389 (2009)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:46.954751Z

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This paper cites In: Proceedings of the 10th international conference on World Wide Web.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Proceedings of the 10th international conference on World Wide Web

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:46.824746Z

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Observation 51d2ffeb-c1e9-4bdd-acd8-1389d9e01600 · outbound

This paper cites In: The adaptive web: methods and strategies of web personal- ization, pp.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: The adaptive web: methods and strategies of web personal- ization, pp

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:46.584742Z

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This paper cites Proximal Policy Optimization Algorithms.

How Reliable are LLMs for Reasoning on the Re-ranking task? Proximal Policy Optimization Algorithms

Reference 37

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This paper cites In: Proceedings of the 2018 world wide web conference.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Proceedings of the 2018 world wide web conference

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:46.394739Z

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Observation 8eba56e9-4fe3-433f-b8c9-a68da325dfa3 · outbound

This paper cites In: Proceedings of the 40th International ACM SIGIR Con- ference on Research and Development in Information Retrieval.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Proceedings of the 40th International ACM SIGIR Con- ference on Research and Development in Information Retrieval

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:46.247042Z

Source-reported events for the cited work

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Observation 59fc61b2-52b0-47db-bb0b-521022f1d9ab · outbound

This paper cites MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation.

How Reliable are LLMs for Reasoning on the Re-ranking task? MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation

Reference 40

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This paper cites In: First Conference on Language Modeling (2024).

How Reliable are LLMs for Reasoning on the Re-ranking task? In: First Conference on Language Modeling (2024)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:46.172352Z

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Observation f304546c-f018-4af9-890e-dcdb3c87fdf6 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

How Reliable are LLMs for Reasoning on the Re-ranking task? BERTScore: Evaluating Text Generation with BERT

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T16:30:44.804770Z

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This paper cites In: Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval.

How Reliable are LLMs for Reasoning on the Re-ranking task? In: Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:30:46.121094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fe3b97ed-24bd-4da5-b4df-91f216f90df8 · outbound

This paper cites arXiv preprint arXiv:2308.07107 (2023).

How Reliable are LLMs for Reasoning on the Re-ranking task? arXiv preprint arXiv:2308.07107 (2023)

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T16:30:44.815207Z

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Pith citing papers

No inbound Pith citation observations are available.