Paper Citation Record · LEDGER

Beyond neural scaling laws: beating power law scaling via data pruning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2206.14486.

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

pith.paper-citation-record.v1
2206.14486 v6

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 2026-08-18T06:34:40.430872+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:53:48.829881Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

85
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7511676a-e7ba-4e7a-9fe6-0e969504fa9e · inbound

Scaling Data-Constrained Language Models cites this paper.

Scaling Data-Constrained Language Models Beyond neural scaling laws: beating power law scaling via data pruning

Reference 109

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:35:21.231522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6bde63d1-72b1-4c45-a1b7-84e92eeeb8a9 · inbound

Nougat: Neural Optical Understanding for Academic Documents cites this paper.

Nougat: Neural Optical Understanding for Academic Documents Beyond neural scaling laws: beating power law scaling via data pruning

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:42:12.625831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d569c468-a9e7-4518-bf3b-527727ad2c85 · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Beyond neural scaling laws: beating power law scaling via data pruning

Reference 300

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:12:31.083140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b78c47d7-9c85-496f-9868-29d2c61bbca8 · inbound

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation cites this paper.

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation Beyond neural scaling laws: beating power law scaling via data pruning

Reference 160

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:56:23.553283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0d19d2a1-f5eb-46b0-8811-3b593878df7b · inbound

Position: Enough of Scaling LLMs! Lets Focus on Downscaling cites this paper.

Position: Enough of Scaling LLMs! Lets Focus on Downscaling Beyond neural scaling laws: beating power law scaling via data pruning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T04:39:14.106679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 469947d8-2885-4997-be43-eac7b590b9bc · inbound

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine cites this paper.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine Beyond neural scaling laws: beating power law scaling via data pruning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:48.829881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c628f9f8-2046-4686-84b1-1a49bdccd5cd · inbound

X-Factor: Quality Is a Dataset-Intrinsic Property cites this paper.

X-Factor: Quality Is a Dataset-Intrinsic Property Beyond neural scaling laws: beating power law scaling via data pruning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:56.200632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 061e9dd0-0aba-4d73-9ffc-af81e7a6bfa7 · inbound

Essential-Web v1.0: 24T tokens of organized web data cites this paper.

Essential-Web v1.0: 24T tokens of organized web data Beyond neural scaling laws: beating power law scaling via data pruning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:47.187123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec694083-e4a9-4592-a4ae-6a6cb9ce8094 · inbound

Foundation Models for Discovery and Exploration in Chemical Space cites this paper.

Foundation Models for Discovery and Exploration in Chemical Space Beyond neural scaling laws: beating power law scaling via data pruning

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:52:24.978352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation efb598e6-9365-49f9-a162-c16faf6afc93 · inbound

Epistemic diversity across language models mitigates knowledge collapse cites this paper.

Epistemic diversity across language models mitigates knowledge collapse Beyond neural scaling laws: beating power law scaling via data pruning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T15:57:16.832443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbc304b8-c642-4630-8fe1-8c32cdb27d01 · inbound

Revisiting Training Scale: An Empirical Study of Token Count, Power Consumption, and Parameter Efficiency cites this paper.

Revisiting Training Scale: An Empirical Study of Token Count, Power Consumption, and Parameter Efficiency Beyond neural scaling laws: beating power law scaling via data pruning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T11:25:09.568218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c6cd556-ae92-42eb-9800-a198908f5360 · inbound

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation cites this paper.

Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation Beyond neural scaling laws: beating power law scaling via data pruning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T10:49:15.488815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48a18a14-b0f7-4856-88e0-da070d1209b4 · inbound

MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning cites this paper.

MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning Beyond neural scaling laws: beating power law scaling via data pruning

Reference 266

Resolution: unresolved; no resolver link, observed 2026-08-16T00:36:02.880513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.