Paper Citation Record · LEDGER

LLM Data Selection and Utilization via Dynamic Bi-level Optimization

As of 7 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2507.16178.

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

pith.paper-citation-record.v1
2507.16178 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:21:58.369911Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:12:52.473205Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact0
verified fuzzy2
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da8ac168-8b41-493d-a11c-895b55eab91f · outbound

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

LLM Data Selection and Utilization via Dynamic Bi-level Optimization A Survey on Data Selection for Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T15:21:56.891192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5b2d5b7-abd7-44a7-b74d-8d184de03e32 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

LLM Data Selection and Utilization via Dynamic Bi-level Optimization BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T15:21:57.188884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1f7f25b-9568-4247-8625-65dc0d06be9e · outbound

This paper cites DsDm: Model-Aware Dataset Selection with Datamodels.

LLM Data Selection and Utilization via Dynamic Bi-level Optimization DsDm: Model-Aware Dataset Selection with Datamodels

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:21:57.354915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 840d96b7-544c-4daa-a23e-2019b5ac28fa · outbound

This paper cites Training Compute-Optimal Large Language Models.

LLM Data Selection and Utilization via Dynamic Bi-level Optimization Training Compute-Optimal Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T15:21:57.467246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b96db73-2d87-4086-8533-a8a0e9cb5fbd · outbound

This paper cites Crafting papers on machine learning.

LLM Data Selection and Utilization via Dynamic Bi-level Optimization Crafting papers on machine learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:21:57.654502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8fe7129-b9e8-437a-826b-b5557455153c · outbound

This paper cites LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning.

LLM Data Selection and Utilization via Dynamic Bi-level Optimization LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:21:57.729432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3842d0bf-c82e-41a3-9182-7df0dc644310 · outbound

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

LLM Data Selection and Utilization via Dynamic Bi-level Optimization RegMix: Data Mixture as Regression for Language Model Pre-training

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:21:57.795468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1df8ba64-dd46-4828-a44a-600687fc98fc · outbound

This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

LLM Data Selection and Utilization via Dynamic Bi-level Optimization Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:21:57.864570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4661ad6c-0431-47e4-a2ef-8032ceeb6a6b · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

LLM Data Selection and Utilization via Dynamic Bi-level Optimization LLaMA: Open and Efficient Foundation Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T15:21:57.953937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22547dd7-86c5-417b-91b3-1093554466e4 · outbound

This paper cites QuRating: Selecting High-Quality Data for Training Language Models.

LLM Data Selection and Utilization via Dynamic Bi-level Optimization QuRating: Selecting High-Quality Data for Training Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:21:58.039374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c91ef90a-3734-44ab-832d-846d511e3051 · outbound

This paper cites MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models.

LLM Data Selection and Utilization via Dynamic Bi-level Optimization MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T15:21:58.101569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e3f7be7-67d6-4cf4-bef0-7f20a902df7e · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

LLM Data Selection and Utilization via Dynamic Bi-level Optimization HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T15:21:58.207626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 891f0a4d-7516-4e9d-a388-af9d74be7344 · outbound

This paper cites A Survey of Large Language Models.

LLM Data Selection and Utilization via Dynamic Bi-level Optimization A Survey of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T15:21:58.285598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3fd7d19-7280-40dd-b866-126d0c136e23 · outbound

This paper cites an unresolved cited work.

LLM Data Selection and Utilization via Dynamic Bi-level Optimization Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:21:58.999718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 55d6b536-8e2c-44a6-a5f4-1b10bea0555d · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

LLM Data Selection and Utilization via Dynamic Bi-level Optimization Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T15:21:57.285070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26e686b9-6da6-4ff9-b1d1-15907f551d07 · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

LLM Data Selection and Utilization via Dynamic Bi-level Optimization D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:21:59.148794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 94ac5923-685e-4055-91b6-f4c94a784b0c · outbound

This paper cites Scaling Laws for Neural Language Models.

LLM Data Selection and Utilization via Dynamic Bi-level Optimization Scaling Laws for Neural Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T15:21:57.569561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1d6dee8-17da-4930-953e-732455697afd · outbound

This paper cites Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration.

LLM Data Selection and Utilization via Dynamic Bi-level Optimization Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T15:21:57.057372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c44c51a-7f91-4007-8b8d-71462f0e8d56 · outbound

This paper cites L., and Paul, M.

LLM Data Selection and Utilization via Dynamic Bi-level Optimization L., and Paul, M

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:21:59.280698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation fea06d46-0954-45c0-8340-9f2ba7c05b2d · inbound

Bilevel Data Curation for LLM Fine-tuning: Offline Selection and Online Self-Refining Generation cites this paper.

Bilevel Data Curation for LLM Fine-tuning: Offline Selection and Online Self-Refining Generation LLM Data Selection and Utilization via Dynamic Bi-level Optimization

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-03T20:12:52.473205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.