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Paper Citation Record · LEDGER

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2508.11551.

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

pith.paper-citation-record.v1
2508.11551 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

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

measured 29 of 29 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T00:56:04.958757Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T00:58:25.671460Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 992ab8fa-70e3-44bf-8f1d-c4f4fd6e5f72 · outbound

This paper cites an unresolved cited work.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Unresolved cited work

Reference 1

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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.

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Observation f9b58d95-95ed-4b05-bbe6-f282d743f47e · outbound

This paper cites A Survey on Data Selection for Language Models.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization A Survey on Data Selection for Language Models

Reference 4

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Observation a2c24579-23ff-46ea-b269-7ed67150f765 · outbound

This paper cites Language models are few-shot learners.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Language models are few-shot learners

Reference 6

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Observation 21e3063c-fc7b-4d0a-9b79-596e3d650818 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d32d30f7-ce73-4321-908f-558d67814117 · outbound

This paper cites Combining hyperband and bayesian optimization.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Combining hyperband and bayesian optimization

Reference 8

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verified fuzzy
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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.

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Observation c5c288e4-2328-4ad0-a6fd-c8a4d9f146b4 · outbound

This paper cites A Tutorial on Bayesian Optimization.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization A Tutorial on Bayesian Optimization

Reference 11

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Observation be84c658-4fd4-4785-aa96-07f7a98602e9 · outbound

This paper cites Bayesian optimization with inequality constraints.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Bayesian optimization with inequality constraints

Reference 13

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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.

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Observation 59045464-aca8-40ee-a890-6e3718097d7d · outbound

This paper cites Training Compute-Optimal Large Language Models.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Training Compute-Optimal Large Language Models

Reference 15

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Observation ba99ab58-2f64-4d55-8e9c-eb66dbd10cb9 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Adam: A Method for Stochastic Optimization

Reference 17

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Observation 6ffb9e73-c18a-441c-9525-85af377e37b0 · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 18

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Observation 8af0b646-d623-4753-bb51-36ee09704f6f · outbound

This paper cites Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization

Reference 19

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Observation f1ed7484-fbb0-434d-9557-1e0cf813a131 · outbound

This paper cites When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 183520e0-bbd0-4283-9ebf-ee878a9c09ec · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Gemini: A Family of Highly Capable Multimodal Models

Reference 24

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Observation e2651289-819d-4323-8f74-b7faa459aef5 · outbound

This paper cites LESS: Selecting Influential Data for Targeted Instruction Tuning.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 26

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source=pdf_text observed=2026-08-05T20:00:05.206082Z digest=sha256:201e7447219bcfa361a1042a5429a41a15d7b18a12af21b387aa75b5b2fb27b6

Observation 7ca1d358-1968-4515-bfc6-70544c98ed9e · outbound

This paper cites Qwen2.5 Technical Report.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Qwen2.5 Technical Report

Reference 27

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source=pdf_text observed=2026-08-05T20:00:05.209560Z digest=sha256:b3f05b70ae38eebf44e6f329b61542e5b69ad2e6ebd807493d1cc908b6a4c093

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

This paper cites Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework.

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

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

Observation 38e5ff1e-2338-46a1-b064-4acecbbebc77 · outbound

This paper cites Simopt: A library of simulation optimization problems.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Simopt: A library of simulation optimization problems

Reference 1998

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verified fuzzy
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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=pdf_text observed=2026-08-05T20:00:05.197150Z digest=sha256:ccf8cb7ac25941e1bdc7bb05e20dfb450df14bcc80fdabfe157f8705ce285003

Observation 889ad05c-ccf5-418a-a16e-b1a5d9de7ad1 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 1999

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source=pdf_text observed=2026-08-05T20:00:05.170020Z digest=sha256:d09ca7b4cd2527a556e5e852b55497b3284d54395e3db523a716a3ced01d011e

Observation 60f797a8-8e7b-4116-83f5-e9485a4aac11 · outbound

This paper cites Alexander IJ Forrester, András Sóbester, and Andy J Keane.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Alexander IJ Forrester, András Sóbester, and Andy J Keane

Reference 2007

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Observation 27041d16-5151-433a-8803-604874533759 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 2013

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Observation ff3491db-eec4-4eea-805e-323a6168b148 · outbound

This paper cites The Llama 3 Herd of Models.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization The Llama 3 Herd of Models

Reference 2014

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Observation 596e1c54-d351-4367-937c-2c1c2e662d9c · outbound

This paper cites Scaling Laws for Neural Language Models.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Scaling Laws for Neural Language Models

Reference 2017

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Observation d73c048d-d6c4-4f09-82bf-b70b01bc3636 · outbound

This paper cites RegMix: Data Mixture as Regression for Language Model Pre-training.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization RegMix: Data Mixture as Regression for Language Model Pre-training

Reference 2018

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Observation f7be3829-ade4-4610-9608-e568875b0d0a · outbound

This paper cites an unresolved cited work.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Unresolved cited work

Reference 2020

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raw_fallback, observed 2026-08-05T20:00:05.469596Z

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=pdf_text observed=2026-08-05T20:00:05.162284Z digest=sha256:dd92c735a4c85c2cd4d52212a7a51b020041b78b13f83dd29dc2fa30ad8288b3

Observation 01a013cf-8eba-4c67-abb1-2282c39750ce · outbound

This paper cites Practical Bayesian Optimization of Objectives with Conditioning Variables.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Practical Bayesian Optimization of Objectives with Conditioning Variables

Reference 2021

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verified exact
local_arxiv, observed 2026-08-05T20:00:05.267547Z

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=pdf_text observed=2026-08-05T20:00:05.199429Z digest=sha256:11d9e4939d310ec7f8f1b07fb2f0f703b2e750eeca865be1ce23a3c920bc4b24

Observation 0837b721-ed95-446b-88a2-f733f390296a · outbound

This paper cites Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models

Reference 2022

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source=pdf_text observed=2026-08-05T20:00:05.150955Z digest=sha256:f10cc8d358965fbdab224698625a93b75a893312f413cee712a85e3ece24b053

Observation 2e93fe54-a6ec-4b7f-8d35-654dd892368d · outbound

This paper cites Phi-4 Technical Report.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization Phi-4 Technical Report

Reference 2023

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:00:05.145239Z digest=sha256:84905daee02ea9c2478ac76909290a4ee8d409f29e6d29fbd1764eba29b51588

Observation 22f8f90b-1709-44f4-ae2e-c6d3cb420cde · outbound

This paper cites SemDeDup: Data-efficient learning at web-scale through semantic deduplication.

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization SemDeDup: Data-efficient learning at web-scale through semantic deduplication

Reference 2024

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source=pdf_text observed=2026-08-05T20:00:05.141967Z digest=sha256:59f744a4b27bc66d98304f43f3f497acede6b656a27eef4f730ea6c553b34bef

Pith citing papers

Observation 60955298-e064-4ccd-a7df-660b8f73dd1f · inbound

Data Mixing for Large Language Models Pretraining: A Survey and Outlook cites this paper.

Data Mixing for Large Language Models Pretraining: A Survey and Outlook ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization

Reference 27

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verified exact
arxiv_id, observed 2026-05-15T00:58:25.673307Z

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.

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