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Paper Citation Record · LEDGER

Learning to Predict Charges for Criminal Cases with Legal Basis

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1707.09168.

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

pith.paper-citation-record.v1
1707.09168 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:27:25.188131Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:26:06.792427Z

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 8f768532-0f10-49c8-9719-789940bdabfc · 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 Learning to Predict Charges for Criminal Cases with Legal Basis

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:46:07.087890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-09T17:03:01.273990Z digest=sha256:ae0ea06710aaabeb3c0189cd71364a4a741178094305e570764ce38cab3ebcfd

Observation 04fed11c-d68a-4bf0-ab56-2002205a2335 · inbound

PROSLEX: A Novel Dataset for Expert-Annotated Legal Statute Prediction for Indian Judiciary cites this paper.

PROSLEX: A Novel Dataset for Expert-Annotated Legal Statute Prediction for Indian Judiciary Learning to Predict Charges for Criminal Cases with Legal Basis

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-14T04:27:25.188131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:27:25.188131Z digest=sha256:6f1c681bd794fd6215661dcb968313320d607c8a5ca724426df121c582016834