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Paper Citation Record · LEDGER

Section-Weighted Hybrid Approach for Legal Case Retrieval

As of 19 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2606.03138.

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

pith.paper-citation-record.v1
2606.03138 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T08:39:28.510255Z

measured 24 of 24 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

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Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

24 of 24 outbound references displayed

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External citation measurements

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Outbound references

Observation 8713b95c-ae31-403f-99a3-9654c34df3d9 · outbound

This paper cites Legal Document Retrieval using Document Vector Embeddings and Deep Learning,.

Section-Weighted Hybrid Approach for Legal Case Retrieval Legal Document Retrieval using Document Vector Embeddings and Deep Learning,

Reference 1

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source=pdf_text observed=2026-06-28T08:39:28.510255Z digest=sha256:fa3bece92f2fa67cb8353664ce1d3b26615fb53260bc86aa6e8056888083dd60

Observation befe949d-797d-4b27-a74f-65a5f4cdf40a · outbound

This paper cites The probabilistic relevance framework: BM25 and beyond,.

Section-Weighted Hybrid Approach for Legal Case Retrieval The probabilistic relevance framework: BM25 and beyond,

Reference 2

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source=pdf_text observed=2026-06-28T08:39:28.510255Z digest=sha256:5252d9c9455fea841f5995d3f52e396c2dcd30b0cc9f64be6d1a766b5aa01d25

Observation a39e1dcc-718a-416c-aacb-d2e6a7ef0608 · outbound

This paper cites Learning Sentence Embeddings in the Legal Domain with Low Resource Settings,.

Section-Weighted Hybrid Approach for Legal Case Retrieval Learning Sentence Embeddings in the Legal Domain with Low Resource Settings,

Reference 3

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source=pdf_text observed=2026-06-28T08:39:28.510255Z digest=sha256:f3d6515fcf055544c7d5c5cb171045521473a3ae2dcdf009d6f3ca07d9101703

Observation 39876191-3c5e-4272-b7ac-9d7e791123dc · outbound

This paper cites Word Vector Embeddings and Domain Spe- cific Semantic based Semi-Supervised Ontology Instance Population,.

Section-Weighted Hybrid Approach for Legal Case Retrieval Word Vector Embeddings and Domain Spe- cific Semantic based Semi-Supervised Ontology Instance Population,

Reference 4

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source=pdf_text observed=2026-06-28T08:39:28.510255Z digest=sha256:4323db9068ab8a16622be56a9d962b82d748e648435dd1201ef0103b56c5eef6

Observation 593efb5c-adcb-4c0d-bb2a-bc0c83c49bea · outbound

This paper cites Context sensitive verb similarity dataset for legal information extraction,.

Section-Weighted Hybrid Approach for Legal Case Retrieval Context sensitive verb similarity dataset for legal information extraction,

Reference 5

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source=pdf_text observed=2026-06-28T08:39:28.510255Z digest=sha256:225b7d93230a615455a1d78290f928f1c7438c284b853bf2b72e0e0e39ed59a6

Observation d1ef7643-6609-4c05-8bde-3f99ab1885d9 · outbound

This paper cites Learning interpretable legal case retrieval via knowledge-guided case reformulation,.

Section-Weighted Hybrid Approach for Legal Case Retrieval Learning interpretable legal case retrieval via knowledge-guided case reformulation,

Reference 6

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source=pdf_text observed=2026-06-28T08:39:28.510255Z digest=sha256:8973692065c014ed57f74703e36c964839136119cc261279dae566506e2c76ba

Observation e2275ffd-0b8b-4d21-be26-12662454d9a8 · outbound

This paper cites CBR-RAG: Case-based reasoning for retrieval augmented generation in LLMs for legal question answering,.

Section-Weighted Hybrid Approach for Legal Case Retrieval CBR-RAG: Case-based reasoning for retrieval augmented generation in LLMs for legal question answering,

Reference 7

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source=pdf_text observed=2026-06-28T08:39:28.510255Z digest=sha256:6bf3b664c8aa417937c5e6c84c842dc101f32a2c31c5aca431b55c67b072a132

Observation 9b5ad0a4-560e-49d6-8323-7f519189cdc9 · outbound

This paper cites Explainable legal case matching via inverse optimal transport-based rationale extraction,.

Section-Weighted Hybrid Approach for Legal Case Retrieval Explainable legal case matching via inverse optimal transport-based rationale extraction,

Reference 8

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source=pdf_text observed=2026-06-28T08:39:28.510255Z digest=sha256:d9e3b0bbd47cfa474a9ef1aa711189906578fd750929522573cb7167064006a5

Observation 738448c5-3850-40a1-af97-1e18c9d2d6e8 · outbound

This paper cites LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain.

Section-Weighted Hybrid Approach for Legal Case Retrieval LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain

Reference 9

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arxiv_id, observed 2026-07-02T04:56:39.304942Z

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source=pdf_text observed=2026-06-28T08:39:28.510255Z digest=sha256:0de9762ad74ba534b9ad43fd9098e925ed8ada96165b7d9477f17a73566f4ebc

Observation 1cf477da-74a2-4718-b427-7d4142815560 · outbound

This paper cites SCaLe-QA: Sri lankan case law embeddings for legal QA,.

Section-Weighted Hybrid Approach for Legal Case Retrieval SCaLe-QA: Sri lankan case law embeddings for legal QA,

Reference 10

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Observation e34bbcef-975b-4969-9462-7b438400b4ea · outbound

This paper cites ITALIAN-LEGAL-BERT models for improving natural language processing tasks in the italian legal domain,.

Section-Weighted Hybrid Approach for Legal Case Retrieval ITALIAN-LEGAL-BERT models for improving natural language processing tasks in the italian legal domain,

Reference 11

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Observation 83f8206c-30cf-4ff5-91e0-683f69aaa290 · outbound

This paper cites Hier-SPCNet: A legal statute hierarchy-based heterogeneous network for computing legal case document similarity,.

Section-Weighted Hybrid Approach for Legal Case Retrieval Hier-SPCNet: A legal statute hierarchy-based heterogeneous network for computing legal case document similarity,

Reference 12

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source=pdf_text observed=2026-06-28T08:39:28.510255Z digest=sha256:932b69c08101e98dae79775bdd58602cce11fce34d48ae0797e032dc81e854e4

Observation 43e61251-fb10-4d35-944e-eec050e7af01 · outbound

This paper cites Law article-enhanced legal case matching: A causal learning approach,.

Section-Weighted Hybrid Approach for Legal Case Retrieval Law article-enhanced legal case matching: A causal learning approach,

Reference 13

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source=pdf_text observed=2026-06-28T08:39:28.510255Z digest=sha256:a38868a3a830fee7968ef47b08f9c5e2fcd5f04252761e44f793234a531b8c18

Observation 9c8c45ec-a246-471b-b560-d1f8e4cd098a · outbound

This paper cites Logic rules as explanations for legal case retrieval,.

Section-Weighted Hybrid Approach for Legal Case Retrieval Logic rules as explanations for legal case retrieval,

Reference 14

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source=pdf_text observed=2026-06-28T08:39:28.510255Z digest=sha256:5b6de1b2d9eeb997654177e29d669c497b4bd0b77ebf307dfde41f4045a7626a

Observation 44ee2713-fda2-46a4-b748-5e87d327004d · outbound

This paper cites Learning fine-grained fact-article correspondence in legal cases,.

Section-Weighted Hybrid Approach for Legal Case Retrieval Learning fine-grained fact-article correspondence in legal cases,

Reference 15

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source=pdf_text observed=2026-06-28T08:39:28.510255Z digest=sha256:b7e1618975890abf9f1efb5daac4dbe98d2c72707fc2fccb8c603e80b1476f58

Observation 9ce1e20b-9c98-4593-bc10-6d152b5b5539 · outbound

This paper cites Precedent-enhanced legal judgment prediction with LLM and domain-model collaboration,.

Section-Weighted Hybrid Approach for Legal Case Retrieval Precedent-enhanced legal judgment prediction with LLM and domain-model collaboration,

Reference 16

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Observation 298ac151-be94-4149-970e-815feaa5907e · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Section-Weighted Hybrid Approach for Legal Case Retrieval Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 17

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local_arxiv, observed 2026-07-02T04:56:39.302467Z

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source=pdf_text observed=2026-06-28T08:39:28.510255Z digest=sha256:eeeae49a5b4ee3596579cfbc9b973a1d714e7972d87a161b4970dc62479bdbd6

Observation 0d67d5d2-beea-4717-858a-1893de695dc3 · outbound

This paper cites An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4.

Section-Weighted Hybrid Approach for Legal Case Retrieval An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4

Reference 18

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arxiv_id, observed 2026-07-02T04:56:39.300020Z

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source=pdf_text observed=2026-06-28T08:39:28.510255Z digest=sha256:23203fb12101866e83f3b8792306b6efc420aa4c7561e3969922989485eb11ca

Observation 0b14c9a8-f716-4823-a211-e908232936c6 · outbound

This paper cites Humans or LLMs as the judge? a study on judgement bias,.

Section-Weighted Hybrid Approach for Legal Case Retrieval Humans or LLMs as the judge? a study on judgement bias,

Reference 19

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source=pdf_text observed=2026-06-28T08:39:28.510255Z digest=sha256:ab92e02eb122061eef24cc21a5c50dda119f75127f96c6559dc26040d170732f

Observation 12539c42-6d9a-4838-86f0-046a4567afa2 · outbound

This paper cites Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity,.

Section-Weighted Hybrid Approach for Legal Case Retrieval Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity,

Reference 20

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Observation 0af64550-830d-4782-b784-de3d1c943618 · outbound

This paper cites Legal Case Winning Party Prediction With Domain Specific Auxiliary Models,.

Section-Weighted Hybrid Approach for Legal Case Retrieval Legal Case Winning Party Prediction With Domain Specific Auxiliary Models,

Reference 21

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Observation 48d11f92-3df5-45e5-a4dd-88ab9106cbf4 · outbound

This paper cites Automatic Analysis of App Reviews Using LLMs,.

Section-Weighted Hybrid Approach for Legal Case Retrieval Automatic Analysis of App Reviews Using LLMs,

Reference 22

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Observation 3056651d-9117-4a0d-9959-e8d9b2728474 · outbound

This paper cites Overview of the COLIEE 2025 competition: Legal case law and statute law information retrieval and entailment,.

Section-Weighted Hybrid Approach for Legal Case Retrieval Overview of the COLIEE 2025 competition: Legal case law and statute law information retrieval and entailment,

Reference 23

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source=pdf_text observed=2026-06-28T08:39:28.510255Z digest=sha256:2571fd73c808e32b3d89c5f6ee84e72793b3057ca9f8fb509cb0d63a0c9a3556

Observation df15a3bd-966c-448e-9b6e-7e27f4c2b640 · outbound

This paper cites SAILER: Structure-aware pre-trained language model for legal case retrieval,.

Section-Weighted Hybrid Approach for Legal Case Retrieval SAILER: Structure-aware pre-trained language model for legal case retrieval,

Reference 24

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Pith citing papers

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