Paper Citation Record · LEDGER

Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.07177.

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

pith.paper-citation-record.v1
2404.07177 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:07:39.844389Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:50:12.685942Z

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 023ee840-7c37-4322-992c-200a388fecf4 · inbound

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search cites this paper.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T05:07:39.844389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4c1bd8d-12c6-4df8-b2b4-7c6c31365873 · inbound

Scaling Laws for Mixture Pretraining Under Data Constraints cites this paper.

Scaling Laws for Mixture Pretraining Under Data Constraints Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:48:00.936718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e0e7b69-71dc-4af0-a5ae-569db0998b60 · inbound

SafeLens: Deliberate and Efficient Video Guardrails with Fast-and-Slow Screening cites this paper.

SafeLens: Deliberate and Efficient Video Guardrails with Fast-and-Slow Screening Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:08:21.198873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d240304d-22d9-4cae-aa5c-7b348ab799cb · inbound

Data Selection Through Iterative Self-Filtering for Vision-Language Settings cites this paper.

Data Selection Through Iterative Self-Filtering for Vision-Language Settings Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic

Reference 204

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:49:44.902332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 689e1cf8-15f4-4291-beb9-e39cf55e7725 · inbound

Internal Data Repetition Destroys Language Models cites this paper.

Internal Data Repetition Destroys Language Models Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic

Reference 62

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:49:57.901854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 77f7aecf-54de-4c2b-b605-ba6c9e9c5e39 · inbound

On-Policy Self-Distillation with Sampled Demonstrations Reduces Output Diversity cites this paper.

On-Policy Self-Distillation with Sampled Demonstrations Reduces Output Diversity Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic

Reference 225

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:50:12.688386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.