Paper Citation Record · LEDGER

Neural Legal Judgment Prediction in English

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1906.02059.

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

pith.paper-citation-record.v1
1906.02059 v1

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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:21:30.373095Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-23T18:53:21.083495Z

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 ee0d3475-c045-4c56-8135-7c871f9df18b · inbound

In Context Learning and Reasoning for Symbolic Regression with Large Language Models cites this paper.

In Context Learning and Reasoning for Symbolic Regression with Large Language Models Neural Legal Judgment Prediction in English

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:53:21.085820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9eff350c-e871-4cf4-a973-51740675abac · inbound

AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation cites this paper.

AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation Neural Legal Judgment Prediction in English

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T15:44:29.844771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e8e2b57-6643-4e89-8eef-fafe7868b77f · inbound

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning cites this paper.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning Neural Legal Judgment Prediction in English

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:15.592462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de4a2b84-0a7e-4343-a384-569c833b97de · 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 Neural Legal Judgment Prediction in English

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T18:37:06.378894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8fa2dd6-6f77-453b-a4ef-733ae654e576 · inbound

SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs cites this paper.

SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs Neural Legal Judgment Prediction in English

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T22:00:21.033580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cf35c5bb-fe3d-444f-9b9b-e094bcea3e90 · inbound

SparSEEty: Extracting Tokens from Sparsity-Exploiting LLM Serving Systems via Deterministic Side Channels cites this paper.

SparSEEty: Extracting Tokens from Sparsity-Exploiting LLM Serving Systems via Deterministic Side Channels Neural Legal Judgment Prediction in English

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-08T04:21:30.373095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.