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Paper Citation Record · LEDGER

Rethinking Data Selection at Scale: Random Selection is Almost All You Need

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.09335.

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

pith.paper-citation-record.v1
2410.09335 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:06:23.524506Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T20:07:54.519368Z

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 6df0da23-b153-4c5a-8ac2-fa80700025b4 · inbound

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples cites this paper.

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-08T11:57:12.030030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:57:12.030030Z digest=sha256:ecc3bf36e36a3ed10b210e462213db6458376fc6b9efc20b71c7bd95043cf927

Observation d288b5a2-d972-4b20-9360-0bbb23961bca · inbound

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space cites this paper.

MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T12:06:23.524506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:06:23.524506Z digest=sha256:a2dc4ae431d4c6f4134aba29d4e3239944305533283325c51b15f8ff42b66b91

Observation 228b7c5c-a0af-49c1-bb50-6ef53ec7cb6d · inbound

GemMaroc: Unlocking Darija Proficiency in LLMs with Minimal Data cites this paper.

GemMaroc: Unlocking Darija Proficiency in LLMs with Minimal Data Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:29.912816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:29.912816Z digest=sha256:f8ac23989b8c99ba9094085b0c3a90c6264e4383ae4ebdd97edff350c0cc17ff

Observation 3531be30-ba7f-40c4-938e-4e62d108b0b0 · inbound

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs cites this paper.

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-07T12:06:30.202322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:06:30.202322Z digest=sha256:c9bc8a62d96008e86221bf81a794ee45bd60a7a3405aaebd21ceffb4fde44cce

Observation 13e0d5b9-5018-4dd3-872e-6c922230b16c · inbound

Class-Proportional Coreset Selection for Difficulty-Separable Data cites this paper.

Class-Proportional Coreset Selection for Difficulty-Separable Data Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T17:25:16.084391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:25:16.084391Z digest=sha256:7d9da60d975207583935197bc0d5a626dfffd96b01ebb23dc6697788ce8fc7e9

Observation d8dcb136-5cf8-42ad-911d-0ca42e4b10ce · inbound

Omnimodal Dataset Distillation via High-order Proxy Alignment cites this paper.

Omnimodal Dataset Distillation via High-order Proxy Alignment Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:05:59.667669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T16:15:46.835576Z digest=sha256:ea6a9674eaeb3ba53b9954dcb553e7d080ca9a6c38b915b9d7422401c367c796

Observation a8772479-fd0b-48dd-a1cc-189e5553aebc · inbound

From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models cites this paper.

From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:41:16.578231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T16:30:12.393364Z digest=sha256:dfe040940af2b66341a77a63641e395754cecaad18e1c050d72bcbc450d06a93

Observation e6257e75-a8fb-4d0d-85ae-33e8427ea8f3 · inbound

Data Difficulty and the Generalization--Extrapolation Tradeoff in LLM Fine-Tuning cites this paper.

Data Difficulty and the Generalization--Extrapolation Tradeoff in LLM Fine-Tuning Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:07:54.522966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-14T20:02:58.318276Z digest=sha256:91e366f4c71d62d20f5e6d4cf6711208133098b0d13c5bf30ac619de787ef2a7