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Paper Citation Record · LEDGER

RedWhale: An Adapted Korean LLM Through Efficient Continual Pretraining

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.11294.

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

pith.paper-citation-record.v1
2408.11294 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:35:55.425187Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T08:02:25.058942Z

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 2a475c2b-531c-49e2-8cd4-0671f9b0d7ee · inbound

BgGPT 1.0: Extending English-centric LLMs to other languages cites this paper.

BgGPT 1.0: Extending English-centric LLMs to other languages RedWhale: An Adapted Korean LLM Through Efficient Continual Pretraining

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T15:35:55.425187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:35:55.425187Z digest=sha256:6203aef76cf6430b33a1cfbad744fcb55135283dacf06fc9a4f1a4c5ae756cbe

Observation b41c731b-0dd9-4f3e-ad15-71abd44be412 · 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 RedWhale: An Adapted Korean LLM Through Efficient Continual Pretraining

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T17:28:03.765553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:28:03.765553Z digest=sha256:837c2ca69e3985f2921ed989bc7f43c00383801f20955ef65e755bb96d835f93

Observation fda74fc0-cdde-4fbb-9063-3db4d008e91e · inbound

Optimizing Korean-Centric LLMs via Token Pruning cites this paper.

Optimizing Korean-Centric LLMs via Token Pruning RedWhale: An Adapted Korean LLM Through Efficient Continual Pretraining

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:02:25.060215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:59:57.505776Z digest=sha256:65c598f24f0da523bfa30b9857fb0b1069ec44fcf6d120d5e44cc2ec4ec7c56c

Observation e16d83c3-8f87-4b95-a631-bb9bff1f1afb · inbound

Beyond Initialization Loss: A Systematic Study of Token Embedding Initialization Strategies for LLM Vocabulary Extension cites this paper.

Beyond Initialization Loss: A Systematic Study of Token Embedding Initialization Strategies for LLM Vocabulary Extension RedWhale: An Adapted Korean LLM Through Efficient Continual Pretraining

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T18:04:08.718342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:04:08.718342Z digest=sha256:8454868f682bb5eec9b076eb2d1268682624ed70e625ff72f6585c206a2a3670