Paper Citation Record · LEDGER

Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.00333.

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

pith.paper-citation-record.v1
2311.00333 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:55:04.072351Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T17:58:47.144215Z

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 664b05a2-89a0-4fea-87a5-a99c299ff115 · inbound

Parametric Retrieval Augmented Generation cites this paper.

Parametric Retrieval Augmented Generation Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T13:55:04.072351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12645d5b-5704-4e88-9b55-b1ba7a440535 · inbound

RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects cites this paper.

RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T23:48:54.005593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e205f837-b362-4bf9-93bf-de4374b608f8 · inbound

Dynamic and Parametric Retrieval-Augmented Generation cites this paper.

Dynamic and Parametric Retrieval-Augmented Generation Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T05:54:56.310740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b3f7d9c-a1f7-4894-a854-edb5ab142457 · inbound

When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance cites this paper.

When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions

Reference 169

Resolution: unresolved; no resolver link, observed 2026-08-06T18:37:11.199850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d33420b-4374-4a5c-b0cb-cb71f1d87dea · inbound

Enhancing Judgment Document Generation via Agentic Legal Information Collection and Rubric-Guided Optimization cites this paper.

Enhancing Judgment Document Generation via Agentic Legal Information Collection and Rubric-Guided Optimization Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:26:06.598007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd6b9a05-84d0-4b08-ae63-75969df0f9ba · 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 Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:58:47.145932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.