Paper Citation Record · LEDGER

Deep Learning Scaling is Predictable, Empirically

As of 4 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 100 inbound Pith citation observations for arXiv:1712.00409.

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

pith.paper-citation-record.v1
1712.00409 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T04:01:58.384077Z

measured 112 of 112 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 100 of 129 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:57:54.208551Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T18:40:03.351817Z

Reference resolution

12 of 12 outbound references displayed

verified exact11
verified fuzzy1
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bf18a820-1ae0-447b-a1d8-332dd53fa7c7 · outbound

This paper cites End-to-End Attention-based Large Vocabulary Speech Recognition.

Deep Learning Scaling is Predictable, Empirically End-to-End Attention-based Large Vocabulary Speech Recognition

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:53:25.624389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9fda7e7a-d0c6-4290-ac24-b6ac8002a6e3 · outbound

This paper cites Exploring Neural Transducers for End-to-End Speech Recognition.

Deep Learning Scaling is Predictable, Empirically Exploring Neural Transducers for End-to-End Speech Recognition

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-04T22:04:57.417555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7aaf8160-68f9-4cd2-ae3b-b4f1a55e16c1 · outbound

This paper cites One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling.

Deep Learning Scaling is Predictable, Empirically One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.413562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d98064fe-8d22-4197-85d0-03e411a22c8b · outbound

This paper cites Deep Speech: Scaling up end-to-end speech recognition.

Deep Learning Scaling is Predictable, Empirically Deep Speech: Scaling up end-to-end speech recognition

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.419869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 835b84aa-055a-4b4c-b593-a13df1cfdb61 · outbound

This paper cites Exploring the Limits of Language Modeling.

Deep Learning Scaling is Predictable, Empirically Exploring the Limits of Language Modeling

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.425887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 239b867f-c54c-4da3-a889-6cac4893ad3b · outbound

This paper cites Generalization in Deep Learning.

Deep Learning Scaling is Predictable, Empirically Generalization in Deep Learning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.434075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fb365ce3-49a3-4acf-9850-77048cc937eb · outbound

This paper cites ImageNet Large Scale Visual Recognition Challenge.

Deep Learning Scaling is Predictable, Empirically ImageNet Large Scale Visual Recognition Challenge

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.443038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c370ae8d-0db9-4d69-aeee-b45eaefc356e · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

Deep Learning Scaling is Predictable, Empirically Neural Machine Translation of Rare Words with Subword Units

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T15:15:20.428834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ccf6a9c0-a5de-43c5-91fb-afb1479124bb · outbound

This paper cites Edinburgh Neural Machine Translation Systems for WMT 16.

Deep Learning Scaling is Predictable, Empirically Edinburgh Neural Machine Translation Systems for WMT 16

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.459625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 23ada63c-faa9-4b8f-9627-7aefb3e5cf3b · outbound

This paper cites A Bayesian Perspective on Generalization and Stochastic Gradient Descent.

Deep Learning Scaling is Predictable, Empirically A Bayesian Perspective on Generalization and Stochastic Gradient Descent

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.466561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d68aa1ef-37da-4caa-ab5e-d2aa7be59453 · outbound

This paper cites Understanding deep learning requires rethinking generalization.

Deep Learning Scaling is Predictable, Empirically Understanding deep learning requires rethinking generalization

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:56:40.372790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 71ffe2b0-2603-430e-be97-480fd12640b2 · outbound

This paper cites Similar to word language models, we use normalized cross-entropy loss:− 1 N ∑ ilnpwi, wherepwi is the model’s predicted probability of seeing theith token.

Deep Learning Scaling is Predictable, Empirically Similar to word language models, we use normalized cross-entropy loss:− 1 N ∑ ilnpwi, wherepwi is the model’s predicted probability of seeing theith token

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T04:01:58.489519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 514dfd0f-5dc1-4381-b5de-c007a02cc76b · inbound

Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence cites this paper.

Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence Deep Learning Scaling is Predictable, Empirically

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T17:59:46.427253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 975b707a-91b6-4193-9a76-4f9ce98be130 · inbound

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer cites this paper.

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Deep Learning Scaling is Predictable, Empirically

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T05:37:55.598498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 29a02755-1767-4cf5-a407-048449667f03 · inbound

Language Models are Few-Shot Learners cites this paper.

Language Models are Few-Shot Learners Deep Learning Scaling is Predictable, Empirically

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation afaea3e1-f7ee-4178-bde2-cdce07c3c266 · inbound

Scaling Laws for Autoregressive Generative Modeling cites this paper.

Scaling Laws for Autoregressive Generative Modeling Deep Learning Scaling is Predictable, Empirically

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T07:49:43.798863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ac9a3666-f070-4603-b0f4-ff9b0f479dab · inbound

Scaling Laws for Transfer cites this paper.

Scaling Laws for Transfer Deep Learning Scaling is Predictable, Empirically

Reference 175

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T00:58:13.565013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d379a640-d038-41c3-90a7-3907d63aa1a1 · inbound

A General Language Assistant as a Laboratory for Alignment cites this paper.

A General Language Assistant as a Laboratory for Alignment Deep Learning Scaling is Predictable, Empirically

Reference 226

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 11e187b8-41b7-4536-960a-79afe7378292 · inbound

Scaling Laws and Interpretability of Learning from Repeated Data cites this paper.

Scaling Laws and Interpretability of Learning from Repeated Data Deep Learning Scaling is Predictable, Empirically

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T15:52:40.412536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d294308b-94d1-43ff-a05b-e589131172b9 · inbound

Language Models (Mostly) Know What They Know cites this paper.

Language Models (Mostly) Know What They Know Deep Learning Scaling is Predictable, Empirically

Reference 163

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a502432f-8db1-48ee-b10c-840050cbd313 · inbound

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers cites this paper.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Deep Learning Scaling is Predictable, Empirically

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T01:44:22.742944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 85dc33cb-665a-40a5-ac42-11283a585205 · inbound

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model cites this paper.

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model Deep Learning Scaling is Predictable, Empirically

Reference 246

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fbbaf43a-42d7-42a1-9153-fcf769dc874e · inbound

SemDeDup: Data-efficient learning at web-scale through semantic deduplication cites this paper.

SemDeDup: Data-efficient learning at web-scale through semantic deduplication Deep Learning Scaling is Predictable, Empirically

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-18T02:43:30.962598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 72030300-90e7-4570-9f06-1c94e000c6a4 · inbound

StarCoder: may the source be with you! cites this paper.

StarCoder: may the source be with you! Deep Learning Scaling is Predictable, Empirically

Reference 197

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 36da703d-5091-42f2-a390-bdc2c29fdda0 · inbound

Textbooks Are All You Need cites this paper.

Textbooks Are All You Need Deep Learning Scaling is Predictable, Empirically

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-13T04:44:03.215640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d532fcba-a4c0-4c89-84ae-e6b6064386bc · inbound

The Falcon Series of Open Language Models cites this paper.

The Falcon Series of Open Language Models Deep Learning Scaling is Predictable, Empirically

Reference 291

Resolution: verified exact; local_arxiv, observed 2026-05-16T09:46:10.125756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1afb1963-6d01-4c40-9e51-17c15e5627aa · inbound

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism cites this paper.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Deep Learning Scaling is Predictable, Empirically

Reference 161

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c7007f1-98ec-4ba4-9029-60d729e1ad82 · inbound

KAN: Kolmogorov-Arnold Networks cites this paper.

KAN: Kolmogorov-Arnold Networks Deep Learning Scaling is Predictable, Empirically

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0213c23c-f541-4bf2-8572-4efa2179a368 · inbound

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model cites this paper.

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model Deep Learning Scaling is Predictable, Empirically

Reference 159

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 07ceb1de-df9f-48c9-9f11-2e067afe7054 · inbound

The Platonic Representation Hypothesis cites this paper.

The Platonic Representation Hypothesis Deep Learning Scaling is Predictable, Empirically

Reference 251

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:03:56.626639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 78da744d-cec9-4b0f-b7c1-f004df70c50c · inbound

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling cites this paper.

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Deep Learning Scaling is Predictable, Empirically

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-12T04:42:23.557841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ce95105a-17a8-4e9e-ad4b-2b5c71de518a · inbound

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models cites this paper.

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models Deep Learning Scaling is Predictable, Empirically

Reference 215

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T06:38:36.982834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 25fd2a75-02de-4c00-b4c7-9aa8992d0a00 · inbound

Two-Point Deterministic Equivalence for Stochastic Gradient Dynamics in Linear Models cites this paper.

Two-Point Deterministic Equivalence for Stochastic Gradient Dynamics in Linear Models Deep Learning Scaling is Predictable, Empirically

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-23T04:17:30.976657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 58e3fb3e-fadf-4442-90c2-2ea0e79218b3 · inbound

LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws cites this paper.

LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws Deep Learning Scaling is Predictable, Empirically

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:52:27.146660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation adc29fea-1a55-46be-9a34-b7f56bbbf9ee · inbound

Learning to Reason under Off-Policy Guidance cites this paper.

Learning to Reason under Off-Policy Guidance Deep Learning Scaling is Predictable, Empirically

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-05-15T23:17:02.906539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d4a043e1-572b-4920-9a3b-ba5fbdaefb27 · inbound

Superposition Yields Robust Neural Scaling cites this paper.

Superposition Yields Robust Neural Scaling Deep Learning Scaling is Predictable, Empirically

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8083e182-fe65-4345-a547-aa3306403c56 · inbound

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning cites this paper.

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning Deep Learning Scaling is Predictable, Empirically

Reference 244

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T01:01:10.419409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 772f12f5-34c6-4773-8fca-892e6d1fccd4 · inbound

Surprisingly High Redundancy in Electronic Structure Data Across Materials Explained by Low Intrinsic Dimensionality cites this paper.

Surprisingly High Redundancy in Electronic Structure Data Across Materials Explained by Low Intrinsic Dimensionality Deep Learning Scaling is Predictable, Empirically

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-05-19T04:42:58.759277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bb9dafa9-4a55-486a-b241-b37312b616ce · inbound

A Discrepancy-Based Perspective on Dataset Condensation cites this paper.

A Discrepancy-Based Perspective on Dataset Condensation Deep Learning Scaling is Predictable, Empirically

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:54.208551Z

Source-reported events for the cited work

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Observation 64ab0d33-4195-499e-bdfe-98626d797736 · inbound

Model Merging Scaling Laws in Large Language Models cites this paper.

Model Merging Scaling Laws in Large Language Models Deep Learning Scaling is Predictable, Empirically

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-18T13:32:37.799231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6696dc73-88cb-462e-aa30-f1ec82c47d6f · inbound

Unifying Learning Dynamics and Generalization in Transformers Scaling Law cites this paper.

Unifying Learning Dynamics and Generalization in Transformers Scaling Law Deep Learning Scaling is Predictable, Empirically

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T14:02:56.679860Z

Source-reported events for the cited work

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Observation bf4aa6c9-727d-4de7-b3ba-2a85f700aacc · inbound

Universal One-third Time Scaling in Learning Peaked Distributions cites this paper.

Universal One-third Time Scaling in Learning Peaked Distributions Deep Learning Scaling is Predictable, Empirically

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T05:01:11.827070Z

Source-reported events for the cited work

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Observation 2b45cd0b-65bb-4b8a-9e5e-9266e167ff81 · inbound

Muon in Associative Memory Learning: Training Dynamics and Scaling Laws cites this paper.

Muon in Associative Memory Learning: Training Dynamics and Scaling Laws Deep Learning Scaling is Predictable, Empirically

Reference 22

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Source-reported events for the cited work

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Observation a8efea24-d597-4757-ac1d-8af7720cb3dd · inbound

Inverse Depth Scaling From Most Layers Being Similar cites this paper.

Inverse Depth Scaling From Most Layers Being Similar Deep Learning Scaling is Predictable, Empirically

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T04:07:45.647284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 540779b0-5a33-4f39-ac23-964bda1c0db2 · inbound

Pattern recognition with superconducting wirelet neurons cites this paper.

Pattern recognition with superconducting wirelet neurons Deep Learning Scaling is Predictable, Empirically

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T23:16:52.194717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bb20e09-2fc5-493e-97a8-ff44738d7dd5 · inbound

Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics cites this paper.

Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics Deep Learning Scaling is Predictable, Empirically

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-02T22:58:06.427823Z

Source-reported events for the cited work

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Observation 36e78b39-37fb-458e-af19-4eb73d35962e · inbound

Prescriptive Scaling Reveals the Evolution of Language Model Capabilities cites this paper.

Prescriptive Scaling Reveals the Evolution of Language Model Capabilities Deep Learning Scaling is Predictable, Empirically

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-02T22:58:13.339623Z

Source-reported events for the cited work

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Observation 11495edf-692f-4478-bc79-2a10f07492b8 · inbound

Unsupervised domain adaptation for radioisotope identification in gamma spectroscopy cites this paper.

Unsupervised domain adaptation for radioisotope identification in gamma spectroscopy Deep Learning Scaling is Predictable, Empirically

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-15T15:56:13.282694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2f8479ea-bbd3-48f2-8c98-5851850b27e5 · inbound

Towards Scaling Law Analysis For Spatiotemporal Weather Data cites this paper.

Towards Scaling Law Analysis For Spatiotemporal Weather Data Deep Learning Scaling is Predictable, Empirically

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 41b9fcb2-61ee-429d-87a9-a52a10e95a8e · inbound

Adaptive Test-Time Scaling for Zero-Shot Respiratory Audio Classification cites this paper.

Adaptive Test-Time Scaling for Zero-Shot Respiratory Audio Classification Deep Learning Scaling is Predictable, Empirically

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d1721d61-b85b-4b1e-8d41-a57465123ab0 · inbound

Better and Worse with Scale: How Contextual Entrainment Diverges with Model Size cites this paper.

Better and Worse with Scale: How Contextual Entrainment Diverges with Model Size Deep Learning Scaling is Predictable, Empirically

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 82d57020-0a31-412e-a87f-0979de1a0bbc · inbound

Cooperate to Compete: Strategic Data Generation and Incentivization Framework for Coopetitive Cross-Silo Federated Learning cites this paper.

Cooperate to Compete: Strategic Data Generation and Incentivization Framework for Coopetitive Cross-Silo Federated Learning Deep Learning Scaling is Predictable, Empirically

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0560f094-5f7b-40a2-8085-a2134900a099 · inbound

Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches cites this paper.

Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches Deep Learning Scaling is Predictable, Empirically

Reference 153

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 52a6bc6f-4d41-484f-bc74-a3a0a2c05521 · inbound

Large language model-enabled automated data extraction for concrete materials informatics cites this paper.

Large language model-enabled automated data extraction for concrete materials informatics Deep Learning Scaling is Predictable, Empirically

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4e484b28-db55-4e61-9fe6-b46c348b469f · inbound

Large language model-enabled automated data extraction for concrete materials informatics cites this paper.

Large language model-enabled automated data extraction for concrete materials informatics Deep Learning Scaling is Predictable, Empirically

Reference 86

Resolution: verified exact; local_arxiv, observed 2026-07-04T16:59:57.578122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 829e7795-a063-49e4-bfd9-206e5041c13c · inbound

The Power of Power Law: Asymmetry Enables Compositional Reasoning cites this paper.

The Power of Power Law: Asymmetry Enables Compositional Reasoning Deep Learning Scaling is Predictable, Empirically

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 520ab415-b00e-493f-89e9-14d03588f34e · inbound

The Power of Power Law: Asymmetry Enables Compositional Reasoning cites this paper.

The Power of Power Law: Asymmetry Enables Compositional Reasoning Deep Learning Scaling is Predictable, Empirically

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T18:26:05.728364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2443624-3f3d-40f9-91d7-e2b8b367731e · inbound

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection cites this paper.

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection Deep Learning Scaling is Predictable, Empirically

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a85e909b-9471-4f81-ab46-7b9e25127628 · inbound

A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws cites this paper.

A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws Deep Learning Scaling is Predictable, Empirically

Reference 63

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T07:27:28.906951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8dac1038-e830-4bbf-b39f-07f7cf679641 · inbound

A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws cites this paper.

A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws Deep Learning Scaling is Predictable, Empirically

Reference 64

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T09:05:36.332691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3c66cd38-9f1b-4090-9e5d-83b247197d55 · inbound

Physical Foundation Models: Fixed hardware implementations of large-scale neural networks cites this paper.

Physical Foundation Models: Fixed hardware implementations of large-scale neural networks Deep Learning Scaling is Predictable, Empirically

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-12T10:26:28.477938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6fce5b58-8c2c-481a-bae7-1e61d972db0d · inbound

Decision Boundary-aware Generation for Long-tailed Learning cites this paper.

Decision Boundary-aware Generation for Long-tailed Learning Deep Learning Scaling is Predictable, Empirically

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c150fcac-23b5-4f74-a24b-2a7647603359 · inbound

InfoLaw: Information Scaling Laws for Large Language Models with Quality-Weighted Mixture Data and Repetition cites this paper.

InfoLaw: Information Scaling Laws for Large Language Models with Quality-Weighted Mixture Data and Repetition Deep Learning Scaling is Predictable, Empirically

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 165c0509-e00b-44de-be81-834ec1460257 · inbound

ZAYA1-8B Technical Report cites this paper.

ZAYA1-8B Technical Report Deep Learning Scaling is Predictable, Empirically

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 031c8463-f0ec-4d2b-b7ea-419ad54a5d1f · inbound

Policy-Guided Stepwise Model Routing for Cost-Effective Reasoning cites this paper.

Policy-Guided Stepwise Model Routing for Cost-Effective Reasoning Deep Learning Scaling is Predictable, Empirically

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 82e12882-bc2d-4e10-a675-2a7128d5c1f2 · inbound

Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits cites this paper.

Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits Deep Learning Scaling is Predictable, Empirically

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8cb21c14-9748-4418-b8de-dba0b889ff7d · inbound

A Qualitative Test-Risk Mechanism for Scaling Behavior in Normalized Residual Networks cites this paper.

A Qualitative Test-Risk Mechanism for Scaling Behavior in Normalized Residual Networks Deep Learning Scaling is Predictable, Empirically

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3df36130-a39a-48f4-b6ea-1dc018dc38ee · inbound

AIPO: Learning to Reason from Active Interaction cites this paper.

AIPO: Learning to Reason from Active Interaction Deep Learning Scaling is Predictable, Empirically

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T08:06:31.409011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e664e7ad-0335-430e-a058-e5a285555ac9 · inbound

AIPO: Learning to Reason from Active Interaction cites this paper.

AIPO: Learning to Reason from Active Interaction Deep Learning Scaling is Predictable, Empirically

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T18:07:42.387601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b8dbc3b2-0f8f-4809-add9-ddd05c36fa59 · inbound

Rennala MVR: Improved Time Complexity for Parallel Stochastic Optimization via Momentum-Based Variance Reduction cites this paper.

Rennala MVR: Improved Time Complexity for Parallel Stochastic Optimization via Momentum-Based Variance Reduction Deep Learning Scaling is Predictable, Empirically

Reference 138

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T07:51:31.175969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8e95f885-9bd0-4117-95b5-764e89e58e46 · inbound

Practical Scaling Laws: Converting Compute into Performance in a Data-Constrained World cites this paper.

Practical Scaling Laws: Converting Compute into Performance in a Data-Constrained World Deep Learning Scaling is Predictable, Empirically

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3f222f57-ec12-453c-9ec3-ff04553a285e · inbound

Sharp feature-learning transitions and Bayes-optimal neural scaling laws in extensive-width networks cites this paper.

Sharp feature-learning transitions and Bayes-optimal neural scaling laws in extensive-width networks Deep Learning Scaling is Predictable, Empirically

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:01:58.491474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f38cb8ca-ebae-4e5d-89ba-b02b4c643a0c · inbound

Scaling Laws and Tradeoffs in Recurrent Networks of Expressive Neurons cites this paper.

Scaling Laws and Tradeoffs in Recurrent Networks of Expressive Neurons Deep Learning Scaling is Predictable, Empirically

Reference 37

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T06:32:24.082918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7cb85df0-070b-4f5b-add0-770ac35d736b · inbound

Slower Generalization, Faster Memorization: A Sweet Spot in Algorithmic Learning cites this paper.

Slower Generalization, Faster Memorization: A Sweet Spot in Algorithmic Learning Deep Learning Scaling is Predictable, Empirically

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T21:35:04.970162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 68564a24-aae0-46b0-a757-94df026f7e98 · inbound

Characterizing Learning in Deep Neural Networks using Tractable Algorithmic Complexity Analysis cites this paper.

Characterizing Learning in Deep Neural Networks using Tractable Algorithmic Complexity Analysis Deep Learning Scaling is Predictable, Empirically

Reference 64

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T20:28:59.960691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 46d5656f-07af-4a21-abcd-779bcc67bb83 · inbound

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages cites this paper.

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages Deep Learning Scaling is Predictable, Empirically

Reference 139

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T14:38:21.806829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 356c6d3b-f1fa-404b-964d-020437857784 · inbound

Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density cites this paper.

Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density Deep Learning Scaling is Predictable, Empirically

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-20T14:43:22.371238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 704ab82a-45ce-445b-b4f5-c79d8a04e102 · inbound

PEIRA: Learning Predictive Encoders through Inter-View Regressor Alignment cites this paper.

PEIRA: Learning Predictive Encoders through Inter-View Regressor Alignment Deep Learning Scaling is Predictable, Empirically

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-20T13:43:19.518941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9fe30ceb-27a9-41e6-982a-ad350b84bcb7 · inbound

Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method cites this paper.

Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method Deep Learning Scaling is Predictable, Empirically

Reference 140

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T13:13:18.514552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 87e0eda3-9207-4e48-9fd9-e0acfe77da82 · inbound

LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging cites this paper.

LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging Deep Learning Scaling is Predictable, Empirically

Reference 142

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T05:49:40.708125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 791f7813-9fa2-4129-b91f-e29a6dd6373c · inbound

A Boundary-Layer Mechanism for One-Third Scaling in Online Softmax Classification cites this paper.

A Boundary-Layer Mechanism for One-Third Scaling in Online Softmax Classification Deep Learning Scaling is Predictable, Empirically

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T07:11:13.091001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ddad9a06-dd4d-4325-bca3-e264c0ee9aaf · inbound

Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling cites this paper.

Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling Deep Learning Scaling is Predictable, Empirically

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T05:25:23.280458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 59ee4be3-8aad-4101-a4e3-794d1c4f806d · inbound

Asymmetric Scaling Laws from Sparse Features cites this paper.

Asymmetric Scaling Laws from Sparse Features Deep Learning Scaling is Predictable, Empirically

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T03:20:16.887648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 52c8f627-b25f-426e-9903-70dc71916e25 · inbound

Towards Large Model Feature Coding cites this paper.

Towards Large Model Feature Coding Deep Learning Scaling is Predictable, Empirically

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-07-01T15:05:48.535211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e00ae9f4-fc3a-4207-985a-9793b8af5a13 · inbound

From One-Pass SGD to Data Reuse: Mini-Batch Scaling Laws in Sketched Linear Regression cites this paper.

From One-Pass SGD to Data Reuse: Mini-Batch Scaling Laws in Sketched Linear Regression Deep Learning Scaling is Predictable, Empirically

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T14:14:45.607625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ad00f3ac-9217-4d07-a195-fd23563c8215 · inbound

Joint Optimization of Training and Inference in Federated Edge Learning via Constrained Multi-Objective Deep Reinforcement Learning cites this paper.

Joint Optimization of Training and Inference in Federated Edge Learning via Constrained Multi-Objective Deep Reinforcement Learning Deep Learning Scaling is Predictable, Empirically

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:34:01.280352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2b27d33d-9f65-4844-8fcf-11af0c013ebe · inbound

Unified Neural Scaling Laws cites this paper.

Unified Neural Scaling Laws Deep Learning Scaling is Predictable, Empirically

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T23:44:03.365102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6e004a90-ce7a-4963-b885-9166ba3c6e0c · inbound

Federated Learning for Multivariate Time Series Anomaly Detection in Industrial Automation cites this paper.

Federated Learning for Multivariate Time Series Anomaly Detection in Industrial Automation Deep Learning Scaling is Predictable, Empirically

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T18:53:51.714983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6158b416-e604-4222-985c-1deff389251f · inbound

Law of Neural Interaction: Depth-Width Shape, Interaction Efficiency, and Generalization cites this paper.

Law of Neural Interaction: Depth-Width Shape, Interaction Efficiency, and Generalization Deep Learning Scaling is Predictable, Empirically

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:23:31.009301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6a3d2ac3-9c70-4bc5-8fbf-2ec5a83316f3 · inbound

Approximate Label Symmetries Improve Data Scaling cites this paper.

Approximate Label Symmetries Improve Data Scaling Deep Learning Scaling is Predictable, Empirically

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-06-29T09:53:17.520745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1ab3e127-411c-46c2-a7b7-9fc878b04e2d · inbound

How Much Is a Dataset Worth? Scaling Laws, the Vendi Score, and Matrix Spectral Functions cites this paper.

How Much Is a Dataset Worth? Scaling Laws, the Vendi Score, and Matrix Spectral Functions Deep Learning Scaling is Predictable, Empirically

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:33:14.820030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 57b08f31-ed44-4eab-a8f3-530e6b7a8496 · inbound

How Much Is a Dataset Worth? Scaling Laws, the Vendi Score, and Matrix Spectral Functions cites this paper.

How Much Is a Dataset Worth? Scaling Laws, the Vendi Score, and Matrix Spectral Functions Deep Learning Scaling is Predictable, Empirically

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T12:58:43.123742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0230f171-025f-4dcd-ac16-47ea85be6c41 · inbound

Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention cites this paper.

Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention Deep Learning Scaling is Predictable, Empirically

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:43:15.163161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d9a9fc05-5fc0-4cc8-886b-15fa5a2215ac · inbound

Comprehensive AI governance requires addressing non-model gains cites this paper.

Comprehensive AI governance requires addressing non-model gains Deep Learning Scaling is Predictable, Empirically

Reference 48

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T08:15:31.701270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ba3582e0-4b4c-4025-8186-392ae46786d0 · inbound

Structure and Scale in Simplicial Sequence Modelling cites this paper.

Structure and Scale in Simplicial Sequence Modelling Deep Learning Scaling is Predictable, Empirically

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T21:16:14.977410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 18deef41-c00b-46bc-85f9-e5da4520fcf3 · inbound

Provable Data Scaling Law for Meta Learning via Complexity Minimization cites this paper.

Provable Data Scaling Law for Meta Learning via Complexity Minimization Deep Learning Scaling is Predictable, Empirically

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T00:56:25.409863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation de7ca9b2-a486-4235-8a8d-d4c4ee0c473c · inbound

Neuron Populations Exhibit Divergent Selectivity with Scale cites this paper.

Neuron Populations Exhibit Divergent Selectivity with Scale Deep Learning Scaling is Predictable, Empirically

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:36:26.800235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b7fb159a-cef6-4470-969c-145ecea63775 · inbound

An Empirical Study of Data Scale, Model Complexity, and Input Modalities in Visual Generalization cites this paper.

An Empirical Study of Data Scale, Model Complexity, and Input Modalities in Visual Generalization Deep Learning Scaling is Predictable, Empirically

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T07:36:44.815533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ea3771a4-7df7-4592-89a6-0c86f13d79e3 · inbound

Validity Threats for Foundation Model Research cites this paper.

Validity Threats for Foundation Model Research Deep Learning Scaling is Predictable, Empirically

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-07-02T07:36:44.941240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 605bf3ab-f043-49b7-abb7-2c1137cd6e17 · inbound

Position: Don't Just "Fix it in Post": A Science of AI Must Study Training Dynamics cites this paper.

Position: Don't Just "Fix it in Post": A Science of AI Must Study Training Dynamics Deep Learning Scaling is Predictable, Empirically

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-06-28T06:31:42.744297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e228318b-2dad-4d25-933d-26ddc1b0404e · inbound

Compute-Optimal Network Design for Echocardiography Myocardial Segmentation and Perfusion Quantification using Neural Scaling Laws cites this paper.

Compute-Optimal Network Design for Echocardiography Myocardial Segmentation and Perfusion Quantification using Neural Scaling Laws Deep Learning Scaling is Predictable, Empirically

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-07-02T16:07:08.704149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8a335536-f5a0-457c-9b43-d3a6869e596e · inbound

Data-Constrained Language Model Pretraining: Improved Regularization and Scaling Laws cites this paper.

Data-Constrained Language Model Pretraining: Improved Regularization and Scaling Laws Deep Learning Scaling is Predictable, Empirically

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T16:47:09.790468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9f2c653b-cffb-4c1f-824e-4cc948bd7fe5 · inbound

Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation cites this paper.

Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation Deep Learning Scaling is Predictable, Empirically

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:52:45.609046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e0cee13c-0311-43df-b850-06240e98c6b5 · inbound

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning cites this paper.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Deep Learning Scaling is Predictable, Empirically

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-02T20:27:22.457790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f53a3d2a-b4c6-4534-be26-9f9b40ee311f · inbound

OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework cites this paper.

OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework Deep Learning Scaling is Predictable, Empirically

Reference 95

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:07:27.210482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bb4770d0-09ba-4c29-a688-074775a7f671 · inbound

Drawing with Strangers: Population Scaling Drives Zero-Shot Mutual Intelligibility in Emergent Sketching cites this paper.

Drawing with Strangers: Population Scaling Drives Zero-Shot Mutual Intelligibility in Emergent Sketching Deep Learning Scaling is Predictable, Empirically

Reference 63

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T04:07:36.683882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 09c96467-1ff5-4c24-a256-487ed702f93b · inbound

From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning cites this paper.

From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning Deep Learning Scaling is Predictable, Empirically

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-03T06:17:42.608174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6815be82-34e3-42ec-b72a-094a359ddf16 · inbound

Beyond Model Size: Probing the Gaps in Visual in-Context Learning by Training a Tiny Model cites this paper.

Beyond Model Size: Probing the Gaps in Visual in-Context Learning by Training a Tiny Model Deep Learning Scaling is Predictable, Empirically

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T04:57:38.420754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation caea6735-0e6b-4355-a78d-f953ed053c25 · inbound

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale cites this paper.

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Deep Learning Scaling is Predictable, Empirically

Reference 58

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T22:17:25.622451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6e904cc8-7eea-4417-8532-a3698178e562 · inbound

WEQA: Wearable hEalth Question Answering with Query-Adaptive Agentic Reasoning cites this paper.

WEQA: Wearable hEalth Question Answering with Query-Adaptive Agentic Reasoning Deep Learning Scaling is Predictable, Empirically

Reference 38

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T21:08:58.481292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0cd704da-d6ce-449d-a7cf-136bfe868f7e · inbound

Towards Engineering Scaling Laws with Pretraining Data Composition cites this paper.

Towards Engineering Scaling Laws with Pretraining Data Composition Deep Learning Scaling is Predictable, Empirically

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T05:49:36.769974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ee9c0249-34ad-4d6f-a209-e519c411f254 · inbound

Towards Engineering Scaling Laws with Pretraining Data Composition cites this paper.

Towards Engineering Scaling Laws with Pretraining Data Composition Deep Learning Scaling is Predictable, Empirically

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T11:34:38.091410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.