Paper Citation Record · LEDGER

DIDS: Domain Impact-aware Data Sampling for Large Language Model Training

As of 20 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2504.13227.

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

pith.paper-citation-record.v1
2504.13227 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:26:30.412607Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy6
unresolved4
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9b11e3e-f976-4a9a-a36d-a28ac492130e · outbound

This paper cites an unresolved cited work.

DIDS: Domain Impact-aware Data Sampling for Large Language Model Training Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:26:30.592641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e87ea6fb-320b-45e5-bf6d-0c25ac846b95 · outbound

This paper cites an unresolved cited work.

DIDS: Domain Impact-aware Data Sampling for Large Language Model Training Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:26:30.572605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7ac9b085-ad4d-4abf-9c0b-fa57e39c8de3 · outbound

This paper cites The projection matrixR∈ Rh×s is constructed as follows:.

DIDS: Domain Impact-aware Data Sampling for Large Language Model Training The projection matrixR∈ Rh×s is constructed as follows:

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:26:30.554750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2e211b5f-5de3-4890-82ab-2083c342d6a5 · outbound

This paper cites In ACL, Bangkok, Thailand.

DIDS: Domain Impact-aware Data Sampling for Large Language Model Training In ACL, Bangkok, Thailand

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:26:30.611494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bcf63122-0cec-4289-b337-a66aac454407 · outbound

This paper cites an unresolved cited work.

DIDS: Domain Impact-aware Data Sampling for Large Language Model Training Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:26:30.537095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b4fcb583-a84f-4a7f-9584-b6007b8c2c78 · outbound

This paper cites an unresolved cited work.

DIDS: Domain Impact-aware Data Sampling for Large Language Model Training Unresolved cited work

Reference 11

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T12:26:30.517754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 98bf748c-7fb0-4cfc-9029-6cd2a10f76e4 · outbound

This paper cites DIDS automates this process and im- proves upon static optimal ratios through dynamic adaptation.

DIDS: Domain Impact-aware Data Sampling for Large Language Model Training DIDS automates this process and im- proves upon static optimal ratios through dynamic adaptation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:26:30.498599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1ecb0dff-0aa9-45c3-82c8-7edd538dfd5b · outbound

This paper cites Sung Min Park, Kristian Georgiev, Andrew Ilyas, Guil- laume Leclerc, and Aleksander Madry.

DIDS: Domain Impact-aware Data Sampling for Large Language Model Training Sung Min Park, Kristian Georgiev, Andrew Ilyas, Guil- laume Leclerc, and Aleksander Madry

Reference 323

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:26:30.630084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bff56ed7-9d75-4470-b6cc-7bc4dc657c0c · outbound

This paper cites an unresolved cited work.

DIDS: Domain Impact-aware Data Sampling for Large Language Model Training Unresolved cited work

Reference 2020

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:26:30.668196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d26ebb08-2145-4a37-8ee5-4e0745961a76 · outbound

This paper cites Yuan Ge, Yilun Liu, Chi Hu, Weibin Meng, Shimin Tao, Xiaofeng Zhao, Hongxia Ma, Li Zhang, Box- ing Chen, Hao Yang, et al.

DIDS: Domain Impact-aware Data Sampling for Large Language Model Training Yuan Ge, Yilun Liu, Chi Hu, Weibin Meng, Shimin Tao, Xiaofeng Zhao, Hongxia Ma, Li Zhang, Box- ing Chen, Hao Yang, et al

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:26:30.688540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4100b799-a1f9-4bed-9381-26a3f7a7c80c · outbound

This paper cites In ECCV, pages 304–.

DIDS: Domain Impact-aware Data Sampling for Large Language Model Training In ECCV, pages 304–

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:26:30.648356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f95f503c-6ffe-4f13-98ff-280d77561d65 · outbound

This paper cites DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization.

DIDS: Domain Impact-aware Data Sampling for Large Language Model Training DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization

Reference 2430

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T12:26:30.478501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.