Paper Citation Record · LEDGER

Data Selection for Language Models via Importance Resampling

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2302.03169.

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

pith.paper-citation-record.v1
2302.03169 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:46:10.998373Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:48:39.380135Z

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 725231dc-3a3a-4c14-9c14-4fcd8c9d6c8b · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models Data Selection for Language Models via Importance Resampling

Reference 254

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:46:40.514427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 17b4c217-9fcb-4a72-b0af-d3753b95f60d · inbound

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation cites this paper.

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation Data Selection for Language Models via Importance Resampling

Reference 92

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T17:56:23.490221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6e42c6ab-72ba-4003-b092-9cbc44158fb2 · inbound

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models cites this paper.

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models Data Selection for Language Models via Importance Resampling

Reference 215

Resolution: unresolved; no resolver link, observed 2026-08-11T22:57:02.099394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aec14e3-b47e-430c-a02d-ccb41b7dcd1d · inbound

TelcoLM: collecting data, adapting, and benchmarking language models for the telecommunication domain cites this paper.

TelcoLM: collecting data, adapting, and benchmarking language models for the telecommunication domain Data Selection for Language Models via Importance Resampling

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T11:04:15.956266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1581e04-af67-4d1d-85d1-b28c3fbfbf02 · inbound

DONOD: Efficient and Generalizable Instruction Fine-Tuning for LLMs via Model-Intrinsic Dataset Pruning cites this paper.

DONOD: Efficient and Generalizable Instruction Fine-Tuning for LLMs via Model-Intrinsic Dataset Pruning Data Selection for Language Models via Importance Resampling

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:10.998373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3d0883f-0525-4c6b-9c99-a58c94d19c6e · inbound

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms cites this paper.

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms Data Selection for Language Models via Importance Resampling

Reference 269

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:59.499921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c4c4724-04a7-4534-a067-485d6611f390 · inbound

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training cites this paper.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Data Selection for Language Models via Importance Resampling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.010284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 082e644a-4f5f-4687-a658-a24fa5145955 · inbound

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models cites this paper.

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models Data Selection for Language Models via Importance Resampling

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:25.047316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75734b4c-f994-4488-a4fe-478be2abfaee · inbound

Embryology of a Language Model cites this paper.

Embryology of a Language Model Data Selection for Language Models via Importance Resampling

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T10:16:49.989116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7df0e303-dfb1-4621-9283-9d435c73f479 · inbound

Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap cites this paper.

Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap Data Selection for Language Models via Importance Resampling

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:50:47.687280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bcd27e77-7b18-424a-9993-21e4761b81f9 · inbound

HERMES: A Multi-Granularity Labeling Substrate for Pre-training Data Mixtures cites this paper.

HERMES: A Multi-Granularity Labeling Substrate for Pre-training Data Mixtures Data Selection for Language Models via Importance Resampling

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T16:48:39.383643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 506cefeb-f887-49ed-85af-70565908322a · inbound

MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning cites this paper.

MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning Data Selection for Language Models via Importance Resampling

Reference 208

Resolution: unresolved; no resolver link, observed 2026-08-16T00:36:02.662006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.