Paper Citation Record · LEDGER

Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2405.18392.

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

pith.paper-citation-record.v1
2405.18392 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 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 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:32:05.909089Z

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

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External citation measurements

2
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 5c6e8e3e-a02d-4d8b-959e-cbcb79d340f2 · inbound

Optimization Hyper-parameter Laws for Large Language Models cites this paper.

Optimization Hyper-parameter Laws for Large Language Models Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:45:48.861142Z

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 df95fbbe-38b5-4452-b272-d08a71de1ef3 · inbound

PoM: Efficient Image and Video Generation with the Polynomial Mixer cites this paper.

PoM: Efficient Image and Video Generation with the Polynomial Mixer Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T17:22:47.060664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4912248d-357f-4082-a29c-8c9bb19db3b5 · inbound

INTELLECT-1 Technical Report cites this paper.

INTELLECT-1 Technical Report Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T04:44:26.398063Z

Source-reported events for the cited work

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Observation 06527b53-fad6-4c37-9a85-92dbe8aa7470 · inbound

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs cites this paper.

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T13:19:18.736521Z

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Observation d8d53b71-3169-4cce-ae0e-ce8fad15b0d4 · inbound

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference cites this paper.

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 141

Resolution: verified exact; arxiv_id, observed 2026-05-20T17:46:46.973215Z

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 9faea4ab-6f22-4e48-8bd1-ffc020328510 · inbound

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference cites this paper.

Reference 148

Resolution: verified exact; arxiv_id, observed 2026-05-20T17:46:47.063757Z

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 6a403ff7-89b4-4607-92e6-f7666643267d · inbound

YuLan-Mini: An Open Data-efficient Language Model cites this paper.

YuLan-Mini: An Open Data-efficient Language Model Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T05:17:55.601448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 112eb45b-9638-4c86-8dcf-ab089d0b216b · inbound

METAGENE-1: Metagenomic Foundation Model for Pandemic Monitoring cites this paper.

METAGENE-1: Metagenomic Foundation Model for Pandemic Monitoring Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T22:18:23.584880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed6f8b7d-04b4-425d-acf6-25bc03cc08c1 · inbound

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration cites this paper.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T17:35:42.346497Z

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Unavailable: canonical work link unavailable.

Observation 8481af53-3f09-4cf1-b860-802cd22b8d79 · inbound

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model cites this paper.

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 177

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T17:30:02.959073Z

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 50ca0f07-5562-4a8f-9e7f-74178882b260 · inbound

Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient cites this paper.

Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T20:06:23.521445Z

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Unavailable: canonical work link unavailable.

Observation 0b1cf965-f320-43ba-be7d-75782d723954 · inbound

Trillion 7B Technical Report cites this paper.

Trillion 7B Technical Report Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:32:05.909089Z

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Observation 42786b4f-a28b-49c1-8c5f-56eee43f816b · inbound

BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis cites this paper.

BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:37:04.412573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1428323-a73c-4f23-8e36-d0a5ebcdb450 · inbound

BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLP cites this paper.

BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLP Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:41.884536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbf646a2-602d-4105-bf75-187a47e1043a · inbound

Is your batch size the problem? Revisiting the Adam-SGD gap in language modeling cites this paper.

Is your batch size the problem? Revisiting the Adam-SGD gap in language modeling Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:50:30.555421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a237938b-8a27-45c8-befd-83775802303a · inbound

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements cites this paper.

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:24.529827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a50d57de-612e-4e2e-b028-99df93492290 · inbound

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling cites this paper.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:51.960524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25ab7824-863b-428a-92a9-768cb60b62eb · inbound

Analysis of Schedule-Free Nonconvex Optimization cites this paper.

Analysis of Schedule-Free Nonconvex Optimization Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T22:42:10.446190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f919b332-930b-47ca-94f3-762fe9bce088 · inbound

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

Foundation Models for Discovery and Exploration in Chemical Space Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 281

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:52:24.910606Z

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 faa0eda6-b091-4192-941c-e878bdf1ea6c · inbound

Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems cites this paper.

Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:56:02.214483Z

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 0d3a9710-b345-4969-9776-c3b3da0ec585 · inbound

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

Scaling Laws for Mixture Pretraining Under Data Constraints Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:48:00.932636Z

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 1c0c4aa7-a990-4f60-8fe7-430a2084560b · inbound

Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings cites this paper.

Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:19:27.369790Z

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 bc7b8a2f-2565-494d-a659-9a50a5bd435c · inbound

Anytime Training with Schedule-Free Spectral Optimization cites this paper.

Anytime Training with Schedule-Free Spectral Optimization Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:40:24.418964Z

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 96f3dcb0-b37b-470b-a982-57501ec69192 · inbound

Mellum2 Technical Report cites this paper.

Mellum2 Technical Report Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:02:46.500620Z

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 137949ea-f578-451a-b46b-ffe82b532b32 · inbound

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 103

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:30:07.784468Z

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 605173fd-8a1f-4072-8768-fee7b95d5b2d · inbound

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T10:14:06.866381Z

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Observation db6076a0-f5b2-49bf-89e4-fff2dbae6c71 · inbound

Scaling Point-in-Time Language Models cites this paper.

Scaling Point-in-Time Language Models Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-02T15:39:37.355927Z

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Observation 861e5366-811d-4e69-be36-4504f6cc5566 · inbound

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts cites this paper.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T21:08:06.445085Z

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Unavailable: canonical work link unavailable.