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Paper Citation Record · LEDGER

InstructionCP: A fast approach to transfer Large Language Models into target language

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.20175.

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

pith.paper-citation-record.v1
2405.20175 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 2026-08-07T15:43:07.901875Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:28:04.621951Z

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 74720d7c-8f11-411d-a629-b6f8b7b99989 · inbound

Cross-Lingual Optimization for Language Transfer in Large Language Models cites this paper.

Cross-Lingual Optimization for Language Transfer in Large Language Models InstructionCP: A fast approach to transfer Large Language Models into target language

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:07.901875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:43:07.901875Z digest=sha256:de9e09aa3d83bfa97ad7efca1c95b4314e00b2403865016f2cb160d2e530e61c

Observation 24d48e71-7489-4938-93fc-d489f5d3417b · inbound

HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training cites this paper.

HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training InstructionCP: A fast approach to transfer Large Language Models into target language

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:28:04.759220Z

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=2026-08-06T17:28:00.889046Z digest=sha256:175f56c565b5aebaea2e0aa0db7d1b2eb5cc7cb20356ed6a4cc2f06f412d0cd6