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Paper Citation Record · LEDGER

Section-Weighted Hybrid Approach for Legal Case Retrieval

As of 8 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 2026-08-08T06:32:00.761636+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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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=sha256:039c44dba9c38f14498de6a744565860971a2b9775e708b31359bd86c7bc8958

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=sha256:0981abe6c4f7a31e0dd0b6386a417b68a05d63c5d42b2ef1d8de569b3c871264

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=sha256:2bbbae7d3bab783c19a107afc6cc0f892735681d8c7bf9db8e84b06c7d68e576

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:c1ce8bb19ed239651f22c2854fbeb41adaf234f6a14585a97f8e1aba0180832c

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=sha256:6e16c483c665a403d99f17ecb9d0e01eb316f72494f0a8c3f1c14f0b8172e9e4

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=sha256:52f8bc559c3977883e8341f6ffc57cdcb050b02ee6208257c9ee66c2e0816811

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=sha256:50ca4a13e9f53c6db1d75e8d9b7c078b8488d5d7d9d6b7fbd44c5ef80972ae84

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=sha256:4cdaf394c3333677b006c7ddab3a6ac744178847ffc018672b42ca0536bf0b90

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=sha256:5468ce4e255603f26b6b997677111927cf64b5a6043dc2f65815271de4c3a0a9

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:ca284d602e6114d0e5767652a6fc1cedbb77fdce71526f99609177372ca158e4

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:e37a7285d5028cf197091b7639ff2e07a803c9fcf7200e48482df04d6de2a279

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=sha256:8aad25740c75ebd7d429c288f837afd00b9f71449c67c00f1178d132eec09ffa

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:da3cb6fc2a60b13f7530ac81519e49c4612a85c9fd6a019d476f618b6345c1f6

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:e389907a77c8222f27a9f7b0b5c31acde0c69925e325ba0aa211c4efd64178a9

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=sha256:69c4522c90d2c23ed1ff7ae054761284a5d43decdbdc41f5468a32a1dce95d7d

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=sha256:50b411d0173e555fae36f80fba51a3c555c870c6ed4e223e9a3d1aed0c9d7bd2

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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source=pdf_text observed=2026-06-28T08:39:28.510255Z digest=sha256:79247cddf3502019f51b33fb367237d781f1e058e6f7cce267178ca3182d3cb4

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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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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