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Paper Citation Record · LEDGER

Enhancing Court View Generation with Knowledge Injection and Guidance

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.04366.

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

pith.paper-citation-record.v1
2403.04366 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:18:22.822134Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T21:37:47.973022Z

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 238c7ef8-9464-44f6-b484-167b4d8cd8b8 · inbound

LegalChainReasoner: A Legal Chain-guided Framework for Criminal Judicial Opinion Generation cites this paper.

LegalChainReasoner: A Legal Chain-guided Framework for Criminal Judicial Opinion Generation Enhancing Court View Generation with Knowledge Injection and Guidance

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T13:18:22.822134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:18:22.822134Z digest=sha256:555003e7fedce592bc8865a1686d34524fe7dc37c3629dacd7c3bfaf0cbfa634

Observation 47efd2ba-580c-45ee-bc39-3b227fe2dee4 · inbound

Exploring Lightweight Large Language Models for Court View Generation cites this paper.

Exploring Lightweight Large Language Models for Court View Generation Enhancing Court View Generation with Knowledge Injection and Guidance

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:37:47.974446Z

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.

source=arxiv_source observed=2026-05-19T21:35:00.419585Z digest=sha256:2c35e0f73b527282d6a2bf54e0c8abaa632c2cce85f47f6da7250edb42e30451