Paper Citation Record · LEDGER

DsDm: Model-Aware Dataset Selection with Datamodels

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2401.12926.

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

pith.paper-citation-record.v1
2401.12926 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:00.682538Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T20:33:43.447108Z

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 6b856bf7-b7cc-4627-9606-af4c87fa031a · inbound

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model cites this paper.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model DsDm: Model-Aware Dataset Selection with Datamodels

Reference 284

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T08:02:23.896133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9cc5d988-5440-46bb-b397-31bf1a3acbb4 · inbound

Enhancing LLMs via High-Knowledge Data Selection cites this paper.

Enhancing LLMs via High-Knowledge Data Selection DsDm: Model-Aware Dataset Selection with Datamodels

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:00.682538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d214e5b-9161-4edf-926b-d016098bda57 · inbound

Merge to Mix: Mixing Datasets via Model Merging cites this paper.

Merge to Mix: Mixing Datasets via Model Merging DsDm: Model-Aware Dataset Selection with Datamodels

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:34.266453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe08a020-a8fb-4877-b4d9-ec116dc9c03b · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA DsDm: Model-Aware Dataset Selection with Datamodels

Reference 130

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:13.043484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb7a900b-430a-47e6-9e52-c239a7a5ec99 · inbound

Efficient Data Selection at Scale via Influence Distillation cites this paper.

Efficient Data Selection at Scale via Influence Distillation DsDm: Model-Aware Dataset Selection with Datamodels

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:18.604677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4de0d262-14d4-461d-9963-64712db86c6f · inbound

Approximating Language Model Training Data from Weights cites this paper.

Approximating Language Model Training Data from Weights DsDm: Model-Aware Dataset Selection with Datamodels

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:59.399365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

LLM Data Selection and Utilization via Dynamic Bi-level Optimization cites this paper.

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 385ed274-c754-4dbf-865f-e158358dc084 · inbound

BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining cites this paper.

BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining DsDm: Model-Aware Dataset Selection with Datamodels

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T11:16:09.373454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a785c640-019b-43a0-a0b7-0f4f91be0f90 · inbound

GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning cites this paper.

GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning DsDm: Model-Aware Dataset Selection with Datamodels

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T21:05:24.801158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 209fb072-7979-4fe0-94fc-b6a668c5c941 · inbound

An Empirical Study on Influence-Based Pretraining Data Selection for Code Large Language Models cites this paper.

An Empirical Study on Influence-Based Pretraining Data Selection for Code Large Language Models DsDm: Model-Aware Dataset Selection with Datamodels

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:16:04.642127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ed979582-81f9-49b1-901b-e681d5a45bae · inbound

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts cites this paper.

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts DsDm: Model-Aware Dataset Selection with Datamodels

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:15:58.953196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 46b2b631-64f8-441f-bc51-fbf3994a2044 · inbound

SEED: Targeted Data Selection by Weighted Independent Set cites this paper.

SEED: Targeted Data Selection by Weighted Independent Set DsDm: Model-Aware Dataset Selection with Datamodels

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:33:43.448407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e3753590-e1a4-4193-9728-0977d9561cc1 · inbound

DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data cites this paper.

DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data DsDm: Model-Aware Dataset Selection with Datamodels

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-31T07:01:45.810159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.