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Paper Citation Record · LEDGER

Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.21023.

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

pith.paper-citation-record.v1
2503.21023 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:00:05.212675Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T10:23:11.987520Z

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 88e84c6b-0e85-482e-81b5-4b792acbeb72 · inbound

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization cites this paper.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T20:00:05.212675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:00:05.212675Z digest=sha256:4943f703af9dea18328030d805a6d153376bd392dc3806a5b5251e96268e9eca

Observation 354a2db2-78cf-4abe-a1a7-5196d05b52a4 · inbound

Embedding by Elicitation: Dynamic Representations for Bayesian Optimization of System Prompts cites this paper.

Embedding by Elicitation: Dynamic Representations for Bayesian Optimization of System Prompts Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:23:11.989342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T10:21:46.912554Z digest=sha256:17d32169e09a70e67ec016a47b0c9cabb39e423261a2b5bb16d60481e2e8fff6