Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:41:15.214099Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.12895.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:41:15.214099Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
26 of 26 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d87907a8-2c43-4434-a512-8fca7919f936 · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work
Reference 1
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 74df3e4b-f61b-46f9-810e-61aa5beb0546 · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6f0dba4-0b23-4477-9e4c-4821e24787b1 · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0771841-e639-4fee-bff7-58e52183dc5a · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work
Reference 4
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 9a5f99e0-7a39-42fb-abfd-53b0cbb8f0ee · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 354b405c-cd37-4693-9edf-24468babe578 · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work
Reference 6
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 6d3975c2-90f7-4610-9bb9-98ca856882c2 · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Efficient Natural Language Response Suggestion for Smart Reply
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44a3d3ee-ff00-40a8-9d28-33ae38cba54d · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18c6e1de-191e-46b0-8c2e-d54e39504cee · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Billion-scale similarity search with GPUs
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d830e38d-c5da-4da3-aac0-1d74463a9928 · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Dense Passage Retrieval for Open-Domain Question Answering
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d66b708-ef83-47e9-b90f-92b0f0fdef14 · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Latent Retrieval for Weakly Supervised Open Domain Question Answering
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8723b885-ff98-49a2-8f85-a404b8def088 · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Case law retrieval: problems, methods, challenges and evaluations in the last 20 years
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38323b5e-f10a-4866-afe7-8efd182eb4f6 · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work
Reference 13
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 6aee9c22-350e-4514-970a-f50effda2c73 · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5d91d9b-994e-47f4-a227-643305344e28 · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Nomic Embed: Training a Reproducible Long Context Text Embedder
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d4fd6e9-5494-49a7-8be8-2ecffaf9b517 · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a55048fa-4802-4732-be70-9d8c8dd530d3 · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work
Reference 17
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 4b73fa82-2649-41f5-b197-b8f89f4eda95 · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f804e790-f1e8-4dd4-abeb-9667f6559a2d · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work
Reference 19
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 152c570a-af60-480c-b4fe-a18d8a664b65 · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Yes, BM25 is a Strong Baseline for Legal Case Retrieval
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dcedb408-c127-4bf1-9ee9-f0677fd57cad · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work
Reference 21
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 f27795c9-b2b7-4506-8dc8-cdb04015db00 · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work
Reference 22
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 f471dfcf-714f-48ae-a792-1290230115eb · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Unresolved cited work
Reference 23
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 c67a4942-19ed-4a25-bc90-09051bfdf186 · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language ecting the !nancial interests of the European Union in customs mat- ters. It added, in the same point, that it is for the national court to give full e
Reference 26
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 b5f2507f-8f8d-4845-a9e2-a26092245094 · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language LePaRD: A Large-Scale Dataset of Judges Citing Precedents
Reference 2023
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 2cbac9de-3b1d-42f8-b964-575778b208ca · outbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language Each deci- sion that has at least one citation has an average of 13.09 outbound citations, with standard deviation of 13.64
Reference 5483
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.
No inbound Pith citation observations are available.