Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Yes, BM25 is a Strong Baseline for Legal Case Retrieval
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2105.05686.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
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, observed 2026-08-07T05:56:34.784164Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T17:58:47.147116Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 28be9ef6-a5fd-453f-a995-c6cb694d0cdf · inbound
BriefMe: A Legal NLP Benchmark for Assisting with Legal Briefs cites this paper.
BriefMe: A Legal NLP Benchmark for Assisting with Legal Briefs Yes, BM25 is a Strong Baseline for Legal Case Retrieval
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:56:34.784164Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 152c570a-af60-480c-b4fe-a18d8a664b65 · inbound
Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language cites this paper.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:41:14.741718Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84619707-206c-4bd0-80bc-d4c19251ccb7 · inbound
ASP2LJ : An Adversarial Self-Play Laywer Augmented Legal Judgment Framework cites this paper.
ASP2LJ : An Adversarial Self-Play Laywer Augmented Legal Judgment Framework Yes, BM25 is a Strong Baseline for Legal Case Retrieval
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:54:27.749561Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 190a9002-24d2-4ed5-b1d4-13c837a1cecb · inbound
SG-LegalCite: A Principle-Augmented Benchmark for Legal Citation Retrieval in Singapore Law cites this paper.
SG-LegalCite: A Principle-Augmented Benchmark for Legal Citation Retrieval in Singapore Law Yes, BM25 is a Strong Baseline for Legal Case Retrieval
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T02:03:54.376513Z
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 3bb35913-eb8b-4eff-807a-ae7e25503286 · inbound
When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval cites this paper.
When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval Yes, BM25 is a Strong Baseline for Legal Case Retrieval
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T17:58:47.148836Z
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.