Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.14318.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:13.475257Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T03:37:00.884337Z
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 d9682801-4383-4377-945e-38929b001639 · inbound
A Survey of LLM $\times$ DATA cites this paper.
A Survey of LLM $\times$ DATA Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training
Reference 276
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:33:13.475257Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8254859-93c3-45ee-ba9e-011c5d60762b · inbound
Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives cites this paper.
Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:33:52.387698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14371040-232c-4852-8230-a1d4896d103c · inbound
Continual Learning for Generative AI: From LLMs to MLLMs and Beyond cites this paper.
Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training
Reference 138
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:40:26.250799Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8de84e0c-5445-4468-bda8-ef5f12e50b2d · 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 Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:28:02.450103Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87026fe1-9069-4bff-970a-1a075510265e · inbound
Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training cites this paper.
Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T03:37:00.887186Z
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.