Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.01248.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:25:52.416242Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T04:36:00.599751Z
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 4fd7989f-90b3-4bb4-b2c0-be481b7efe54 · inbound
CoPERLex: Content Planning with Event-based Representations for Legal Case Summarization cites this paper.
CoPERLex: Content Planning with Event-based Representations for Legal Case Summarization How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:25:52.416242Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f8b8042-bf66-4526-86cf-2283267f362c · inbound
RELexED: Retrieval-Enhanced Legal Summarization with Exemplar Diversity cites this paper.
RELexED: Retrieval-Enhanced Legal Summarization with Exemplar Diversity How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:25:30.447098Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b234d9c-3529-4f23-bafe-01e68d2dc686 · inbound
A Comprehensive Survey on Legal Summarization: Challenges and Future Directions cites this paper.
A Comprehensive Survey on Legal Summarization: Challenges and Future Directions How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T04:36:00.605181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.