Will we run out of data? Limits of LLM scaling based on human-generated data | Paper Citation Record

Observation 5a6f788a-a0a6-4c36-8a87-1ebe2a3ecebe · inbound

Scaling Data-Constrained Language Models cites this paper.

Scaling Data-Constrained Language Models Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 120

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:35:21.424024Z

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The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only cites this paper.

The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:43:45.887160Z

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The Falcon Series of Open Language Models cites this paper.

The Falcon Series of Open Language Models Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 149

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Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts cites this paper.

Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:08:48.125057Z

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Can ChatGPT pass a physics degree? Making a case for reformation of assessment of undergraduate degrees cites this paper.

Can ChatGPT pass a physics degree? Making a case for reformation of assessment of undergraduate degrees Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 22

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Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies cites this paper.

Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-23T08:22:44.236980Z

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Towards Data Governance of Frontier AI Models cites this paper.

Towards Data Governance of Frontier AI Models Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 108

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Observation 262a8a64-92e3-4621-8870-a4f8f5e65940 · inbound

A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities cites this paper.

A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 54

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Observation 9e514f58-4e1f-46cd-a5d9-b580e990ceaa · inbound

Interactions Between Artificial Intelligence and Digital Public Infrastructure: Concepts, Benefits, and Challenges cites this paper.

Interactions Between Artificial Intelligence and Digital Public Infrastructure: Concepts, Benefits, and Challenges Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 2024

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Observation 5903fae7-375d-45c2-93a3-53bde9a10cc1 · inbound

Domain-adaptative Continual Learning for Low-resource Tasks: Evaluation on Nepali cites this paper.

Domain-adaptative Continual Learning for Low-resource Tasks: Evaluation on Nepali Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 41

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Observation 96b4d63a-fe9f-419c-b244-d6e4497f3e7a · inbound

Language Models as Continuous Self-Evolving Data Engineers cites this paper.

Language Models as Continuous Self-Evolving Data Engineers Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 30

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Observation 1d68e051-9436-4202-af41-b71856f84b7b · inbound

Not Every AI Problem is a Data Problem: We Should Be Intentional About Data Scaling cites this paper.

Not Every AI Problem is a Data Problem: We Should Be Intentional About Data Scaling Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 2017

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Observation 56457b2f-84b0-431a-9696-9d0fdfc5f58b · inbound

Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts cites this paper.

Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 70

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Observation 842e2fa5-f0fd-4b7f-8c2c-bfcb8d5a9be8 · inbound

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence cites this paper.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 1

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Observation 4731627e-7fa4-4e11-a8e2-dc5e07e6b0df · inbound

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning cites this paper.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 51

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BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation cites this paper.

BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 36

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Toward Neurosymbolic Program Comprehension cites this paper.

Toward Neurosymbolic Program Comprehension Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 11

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Reformulation for Pretraining Data Augmentation cites this paper.

Reformulation for Pretraining Data Augmentation Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 3

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Observation c7ca237a-e0d2-4117-a607-fc3f3d0c8afa · inbound

Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks cites this paper.

Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 35

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Carbon- and Precedence-Aware Scheduling for Data Processing Clusters cites this paper.

Carbon- and Precedence-Aware Scheduling for Data Processing Clusters Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 65

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Observation 01efc45d-5d01-406b-948e-7755469047e7 · inbound

Governing AI Beyond the Pretraining Frontier cites this paper.

Governing AI Beyond the Pretraining Frontier Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 85

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Observation 1ec157f3-0afd-4d78-a41f-0421b661ea15 · inbound

Will the Technological Singularity Come Soon? Modeling the Dynamics of Artificial Intelligence Development via Multi-Logistic Growth Process cites this paper.

Will the Technological Singularity Come Soon? Modeling the Dynamics of Artificial Intelligence Development via Multi-Logistic Growth Process Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 26

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Observation a01342c8-52f5-49ce-9c6e-f7f9a1e75a02 · inbound

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:05:16.560310Z

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Observation cbf0bcf5-7040-43f4-ae36-73e83a968d80 · inbound

Position: The Most Expensive Part of an LLM should be its Training Data cites this paper.

Position: The Most Expensive Part of an LLM should be its Training Data Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 42

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Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training cites this paper.

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 2017

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Dargana: fine-tuning EarthPT for dynamic tree canopy mapping from space cites this paper.

Dargana: fine-tuning EarthPT for dynamic tree canopy mapping from space Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 2022

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

Position: Enough of Scaling LLMs! Lets Focus on Downscaling Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 30

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A Path Less Traveled: Reimagining Software Engineering Automation via a Neurosymbolic Paradigm cites this paper.

A Path Less Traveled: Reimagining Software Engineering Automation via a Neurosymbolic Paradigm Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 22

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Incentivizing Inclusive Contributions in Model Sharing Markets cites this paper.

Incentivizing Inclusive Contributions in Model Sharing Markets Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 11

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Bridging AI and Carbon Capture: A Dataset for LLMs in Ionic Liquids and CBE Research cites this paper.

Bridging AI and Carbon Capture: A Dataset for LLMs in Ionic Liquids and CBE Research Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 93

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Observation f065f91d-2f0f-48d1-840d-ce4b007bf996 · inbound

Parallel Scaling Law for Language Models cites this paper.

Parallel Scaling Law for Language Models Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 86

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Observation 53ce9448-2e7b-4bb0-a398-68f2c5612986 · inbound

Addressing memory bandwidth scalability in vector processors for streaming applications cites this paper.

Addressing memory bandwidth scalability in vector processors for streaming applications Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 23

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Observation bf8115c0-2833-498c-a89a-5b6722fdf237 · inbound

Granary: Speech Recognition and Translation Dataset in 25 European Languages cites this paper.

Granary: Speech Recognition and Translation Dataset in 25 European Languages Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 8

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Observation e03034ff-c716-4d16-b365-62a4cea802f2 · inbound

Multilingual Test-Time Scaling via Initial Thought Transfer cites this paper.

Multilingual Test-Time Scaling via Initial Thought Transfer Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 37

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Observation ad7abbee-0a8e-40b3-9e02-0f15c998f13e · inbound

Transfer of Structural Knowledge from Synthetic Languages cites this paper.

Transfer of Structural Knowledge from Synthetic Languages Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 29

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Dimension-adapted Momentum Outscales SGD cites this paper.

Dimension-adapted Momentum Outscales SGD Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 97

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Towards Anonymous Neural Network Inference cites this paper.

Towards Anonymous Neural Network Inference Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 33

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Observation fbcb6a76-e838-4dc0-ad3a-c6b7899f51fc · inbound

Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence cites this paper.

Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 31

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Bayesian Inverse Physics for Neuro-Symbolic Robot Learning cites this paper.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 37

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Observation 509c0d6b-3565-443d-ae07-842750376b53 · inbound

The Synthetic Mirror -- Synthetic Data at the Age of Agentic AI cites this paper.

The Synthetic Mirror -- Synthetic Data at the Age of Agentic AI Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 2

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LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs cites this paper.

LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 37

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A Comparative Study of Open-Source Libraries for Synthetic Tabular Data Generation: SDV vs. SynthCity cites this paper.

A Comparative Study of Open-Source Libraries for Synthetic Tabular Data Generation: SDV vs. SynthCity Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 13

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Observation 8d551cc3-3d97-40c4-9a23-aa876ffa6622 · inbound

Lost in Retraining: Roaming the Parameter Space of Exponential Families Under Closed-Loop Learning cites this paper.

Lost in Retraining: Roaming the Parameter Space of Exponential Families Under Closed-Loop Learning Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 9

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Hierarchical Reasoning Model cites this paper.

Hierarchical Reasoning Model Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 15

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Observation ea500b1a-5515-4f4a-935e-322268ff2939 · inbound

Residual Matrix Transformers: Scaling the Size of the Residual Stream cites this paper.

Residual Matrix Transformers: Scaling the Size of the Residual Stream Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 48

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Observation 9abf2387-9409-4fbc-90b8-c5f0f70d8c5f · inbound

Energy-Based Transformers are Scalable Learners and Thinkers cites this paper.

Energy-Based Transformers are Scalable Learners and Thinkers Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 112

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Observation d31d45bc-27ea-4193-bbe7-042c3d85530c · inbound

Reconstructing Biological Pathways by Applying Selective Incremental Learning to (Very) Small Language Models cites this paper.

Reconstructing Biological Pathways by Applying Selective Incremental Learning to (Very) Small Language Models Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 2022

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Observation d0faab4c-2961-44a0-84f7-399bba3419db · inbound

User Behavior Prediction as a Generic, Robust, Scalable, and Low-Cost Evaluation Strategy for Estimating Generalization in LLMs cites this paper.

User Behavior Prediction as a Generic, Robust, Scalable, and Low-Cost Evaluation Strategy for Estimating Generalization in LLMs Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 57

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Observation 5468e308-bcc6-4515-8258-05aa1c0a1120 · inbound

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need cites this paper.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 92

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Observation 295e86fa-ded3-4644-bd65-a085b6d81857 · inbound

HuggingGraph: Understanding the Supply Chain of LLM Ecosystem cites this paper.

HuggingGraph: Understanding the Supply Chain of LLM Ecosystem Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 54

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Observation f0a212a6-4dde-4bc2-b561-d028cfc6cc4e · inbound

Meta CLIP 2: A Worldwide Scaling Recipe cites this paper.

Meta CLIP 2: A Worldwide Scaling Recipe Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 24

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Observation 5415c29a-ec84-4c8b-a45f-c5dfb6d20f83 · inbound

LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points cites this paper.

LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 38

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Observation 7fbcc309-8d5e-43df-b604-0813db2ba0a9 · inbound

Learning Facts at Scale with Active Reading cites this paper.

Learning Facts at Scale with Active Reading Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 2022

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Observation 997fcac4-34ca-4ce7-bbc4-77fa54a4521f · inbound

HERAKLES: Hierarchical Skill Compilation for Open-ended LLM Agents cites this paper.

HERAKLES: Hierarchical Skill Compilation for Open-ended LLM Agents Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 59

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Observation 128ab968-9b7b-4d12-af2c-da3479e348b1 · inbound

User Privacy and Large Language Models: An Analysis of Frontier Developers' Privacy Policies cites this paper.

User Privacy and Large Language Models: An Analysis of Frontier Developers' Privacy Policies Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-05T06:00:20.668234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cae4786-ccbd-4b9e-869e-a917d914b6ae · inbound

Ubiquitous Intelligence Via Wireless Network-Driven LLMs Evolution cites this paper.

Ubiquitous Intelligence Via Wireless Network-Driven LLMs Evolution Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T20:42:45.708509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd5843fe-ecff-4e71-8c42-ee35b2df103a · inbound

Generative Data Refinement: Just Ask for Better Data cites this paper.

Generative Data Refinement: Just Ask for Better Data Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T20:24:40.771539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4052d0f-c2d8-4173-bdaa-5c533ccb9e66 · inbound

Differentially-private text generation degrades output language quality cites this paper.

Differentially-private text generation degrades output language quality Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T17:03:13.329279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97c729b3-34fd-4d99-9081-b058935585ac · 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 Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T11:25:09.571487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffbb22eb-bf1b-46a4-9813-0f61801d8f95 · inbound

SenseAI: A Human-in-the-Loop Dataset for RLHF-Aligned Financial Sentiment Reasoning cites this paper.

SenseAI: A Human-in-the-Loop Dataset for RLHF-Aligned Financial Sentiment Reasoning Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:05:50.338012Z

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 1c452130-863e-4fb8-a6f4-a9b79ccea0bd · inbound

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion cites this paper.

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:06.138293Z

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 9d682923-555e-4c88-88bb-c7f7f720d810 · inbound

AI Hastens Limits to Exponential Growth cites this paper.

AI Hastens Limits to Exponential Growth Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:21:13.249821Z

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 cc489784-f5ab-4d48-9384-289a812752d2 · inbound

LLM Ghostbusters: Surgical Hallucination Suppression via Adaptive Unlearning cites this paper.

LLM Ghostbusters: Surgical Hallucination Suppression via Adaptive Unlearning Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:06:22.448434Z

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 513ba88d-9229-4d55-afb3-7dd8ed8c1bce · inbound

Submodular Ground-Set Pruning: Monotone Tightness and a Non-Monotone Separation cites this paper.

Submodular Ground-Set Pruning: Monotone Tightness and a Non-Monotone Separation Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 45

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T17:36:04.791771Z

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 128389b6-8509-4ce8-a49d-dd509c92dca8 · inbound

High-Dimensional Statistics: Reflections on Progress and Open Problems cites this paper.

High-Dimensional Statistics: Reflections on Progress and Open Problems Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:36:06.631428Z

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 e83ca845-5e91-4fa9-9270-2aebd77450fd · inbound

High-Dimensional Statistics: Reflections on Progress and Open Problems cites this paper.

High-Dimensional Statistics: Reflections on Progress and Open Problems Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:35:07.984390Z

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 062cdf99-ddad-49ad-ba21-711e408a37c0 · inbound

ForgeVLA: Federated Vision-Language-Action Learning without Language Annotations cites this paper.

ForgeVLA: Federated Vision-Language-Action Learning without Language Annotations Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:20:55.477138Z

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 9c139432-a16c-4192-a058-7135c6ff2a80 · inbound

Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences cites this paper.

Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 122

Resolution: verified exact; arxiv_id, observed 2026-05-11T02:30:54.418300Z

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 d814c45a-47fa-4772-96d6-058b6c4d1100 · inbound

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production cites this paper.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.456297Z

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 e5f6a51d-979a-4857-af91-545854798ccf · inbound

Beyond Scaling: Agents Are Heading to the Edge cites this paper.

Beyond Scaling: Agents Are Heading to the Edge Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:53:14.918737Z

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 cf2ae034-3a0b-4681-90bc-b36f63c2fda9 · inbound

When Data Is Scarce: Scaling Sparse Language Models with Repeated Training cites this paper.

When Data Is Scarce: Scaling Sparse Language Models with Repeated Training Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T17:22:25.188002Z

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 c19a4932-413e-4e86-8f2e-1119549dad61 · inbound

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

Data-Constrained Language Model Pretraining: Improved Regularization and Scaling Laws Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:47:09.820598Z

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 30d223e5-6b82-48a5-9b0d-44959168c99b · inbound

Data-Driven Automation cites this paper.

Data-Driven Automation Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T04:27:36.200386Z

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 9c6b9f74-2cf2-475d-a001-39fbe79f505c · inbound

Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering cites this paper.

Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:55:06.335237Z

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 217dc43e-c9da-44b1-92a5-a52fff2b9e56 · inbound

Demystifying Training-Time Augmentation for Data-Constrained Language Model Pretraining cites this paper.

Demystifying Training-Time Augmentation for Data-Constrained Language Model Pretraining Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:38:44.254033Z

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 68a1ac45-c9db-4e92-bc33-7527ec0af216 · inbound

What Drives Interactive Improvement from Feedback? cites this paper.

What Drives Interactive Improvement from Feedback? Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T12:05:43.468362Z

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 8d06a739-dfc6-4a3a-8f19-c728b4707174 · inbound

LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning cites this paper.

LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-02T09:01:49.796306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers