Paper Citation Record · LEDGER

DataS^3: Dataset Subset Selection for Specialization

As of 21 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 3 inbound Pith citation observations for arXiv:2504.16277.

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

pith.paper-citation-record.v1
2504.16277 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:12:59.725083Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:11:01.510667Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T09:03:15.951664Z

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy13
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 722e5930-3e23-4e01-88dd-f26176daf3e3 · outbound

This paper cites low data quality.

DataS^3: Dataset Subset Selection for Specialization low data quality

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:12:59.930440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0d6b5fde-27a5-4c95-a940-3f7c27e914f5 · outbound

This paper cites When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations.

DataS^3: Dataset Subset Selection for Specialization When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:12:59.643113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7e29eb6-2b99-4458-9bde-502048b26a33 · outbound

This paper cites Active Learning for BERT: An Empirical Study.

DataS^3: Dataset Subset Selection for Specialization Active Learning for BERT: An Empirical Study

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:13:00.044737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 72d02356-3171-449f-9067-50d5aa710763 · outbound

This paper cites SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification.

DataS^3: Dataset Subset Selection for Specialization SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T11:12:59.813971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8bfad4d4-d481-4dd7-85f9-692d9344176d · outbound

This paper cites Measuring Robustness to Natural Distribution Shifts in Image Classification.

DataS^3: Dataset Subset Selection for Specialization Measuring Robustness to Natural Distribution Shifts in Image Classification

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:12:59.683981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 222fb1f7-73b0-456b-b242-29cee7ed5682 · outbound

This paper cites Drive anywhere: Generalizable end-to-end autonomous driving with multi-modal foundation models.

DataS^3: Dataset Subset Selection for Specialization Drive anywhere: Generalizable end-to-end autonomous driving with multi-modal foundation models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:12:59.976072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6ec94220-d1db-466f-a918-0400823cac6a · outbound

This paper cites Michelle Yuan, Hsuan-Tien Lin, and Jordan Boyd-Graber.

DataS^3: Dataset Subset Selection for Specialization Michelle Yuan, Hsuan-Tien Lin, and Jordan Boyd-Graber

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:12:59.959109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8aa7a5c7-61aa-48a0-8346-5f5337425c4f · outbound

This paper cites efficiency-style.

DataS^3: Dataset Subset Selection for Specialization efficiency-style

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:12:59.944862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f001f79e-eb31-4708-b397-c08bb7d2826a · outbound

This paper cites in-distribution.

DataS^3: Dataset Subset Selection for Specialization in-distribution

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:12:59.915520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2f2b843f-3d20-4bb2-b130-ec9e7cb3f670 · outbound

This paper cites extraneous.

DataS^3: Dataset Subset Selection for Specialization extraneous

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:12:59.901982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 139aac4e-0964-4438-afdb-c64e2c426b6b · outbound

This paper cites Zhang, Shaoqing Ren, and Jian Sun.

DataS^3: Dataset Subset Selection for Specialization Zhang, Shaoqing Ren, and Jian Sun

Reference 2004

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:13:00.028538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6b9a3b2c-d562-4f52-8cc8-9241965e964e · outbound

This paper cites An open-source platform for underwater image and video analytics.

DataS^3: Dataset Subset Selection for Specialization An open-source platform for underwater image and video analytics

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:13:00.076458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f361b2ef-f449-4b3b-a78a-21849a2e026d · outbound

This paper cites an unresolved cited work.

DataS^3: Dataset Subset Selection for Specialization Unresolved cited work

Reference 2009

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:13:00.009818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ffc13944-4bb3-49d7-a45f-02974818bce5 · outbound

This paper cites New Frameworks for Offline and Streaming Coreset Constructions.

DataS^3: Dataset Subset Selection for Specialization New Frameworks for Offline and Streaming Coreset Constructions

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-16T11:12:59.631115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0b6f37f-8d59-4371-9000-efc2eaf734ea · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

DataS^3: Dataset Subset Selection for Specialization Imagenet: A large-scale hierarchical image database

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:13:00.063345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1f05a677-7bf7-431d-8e8b-b1b9a7caa592 · outbound

This paper cites The iwildcam 2021 competition dataset,.

DataS^3: Dataset Subset Selection for Specialization The iwildcam 2021 competition dataset,

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:13:00.104759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ac244540-d017-4716-b9c9-31daece11d9d · outbound

This paper cites Language Models are Few-Shot Learners.

DataS^3: Dataset Subset Selection for Specialization Language Models are Few-Shot Learners

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-16T11:12:59.636255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dbd61fa-096f-4bf5-9699-0f18b9b2831f · outbound

This paper cites Majewski, Shreyasee Mukherjee, Stanley Chan, John Morgan, Vivek Rathod, and Jonathan Huang.

DataS^3: Dataset Subset Selection for Specialization Majewski, Shreyasee Mukherjee, Stanley Chan, John Morgan, Vivek Rathod, and Jonathan Huang

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:13:00.089991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9fa48ff3-55cb-4f05-8ccc-78b2fd7af2ec · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

DataS^3: Dataset Subset Selection for Specialization An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T11:12:59.657095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0af5b4a2-d719-4dde-aad0-2cc0d7801501 · outbound

This paper cites Living planet report 2020: Bending the curve of biodiversity loss,.

DataS^3: Dataset Subset Selection for Specialization Living planet report 2020: Bending the curve of biodiversity loss,

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:12:59.992830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 1ec67ea5-43a0-4183-9063-6db0fc85e775 · inbound

A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't) cites this paper.

A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't) DataS^3: Dataset Subset Selection for Specialization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T23:11:01.510667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 273cbdb5-5794-41e2-90b1-10073ee69bc6 · inbound

Efficient Test-Time Finetuning of LLMs via Convex Reconstruction and Gradient Caching cites this paper.

Efficient Test-Time Finetuning of LLMs via Convex Reconstruction and Gradient Caching DataS^3: Dataset Subset Selection for Specialization

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-06-29T09:03:15.953204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c1f1a7be-71d1-4a3b-94c2-16ed7e5cdff1 · inbound

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets cites this paper.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets DataS^3: Dataset Subset Selection for Specialization

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-12T07:31:01.780245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.