Paper Citation Record · LEDGER

Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2304.03208.

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

pith.paper-citation-record.v1
2304.03208 v1

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 35 of 35 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 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:05:48.910097Z

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

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External citation measurements

24
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 72709979-5cf3-409f-93c8-87bf672b1828 · inbound

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 Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 20

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Observation 11ce8e20-346e-4ee5-9948-e01920c03746 · inbound

The Falcon Series of Open Language Models cites this paper.

The Falcon Series of Open Language Models Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 273

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:46:10.073190Z

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Observation 7ded08bb-9350-4ace-a73c-fa0057af11eb · inbound

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies cites this paper.

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 12

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Observation f341f884-48ba-4884-a9dc-63293883ab65 · inbound

Foundational Large Language Models for Materials Research cites this paper.

Foundational Large Language Models for Materials Research Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 70

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Observation af3b0201-dff7-427d-b99f-80d6287253a9 · inbound

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

YuLan-Mini: An Open Data-efficient Language Model Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 23

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Observation ccd84ed2-68ac-41d0-8c31-aacf436a642b · inbound

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

YuLan-Mini: An Open Data-efficient Language Model Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 24

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Observation 7f2cbd0f-da97-422e-8f01-f1548ff192de · inbound

Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026) cites this paper.

Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026) Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-23T05:52:37.423436Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 17ce54dc-9bdf-478d-8e8b-159b4dfa5895 · inbound

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch cites this paper.

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 43

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Observation 439cc4b4-6d82-4bad-9ff3-74072317e416 · inbound

Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models cites this paper.

Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 15

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Observation 7e0412ef-ea85-4cb6-8feb-c0d829a6a4fd · inbound

A Probabilistic WxChallenge Proposal cites this paper.

A Probabilistic WxChallenge Proposal Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T15:29:25.055215Z

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Observation 8d69a650-a8bd-4bfe-bada-f1598e01d261 · inbound

SHARP: Accelerating Language Model Inference by SHaring Adjacent layers with Recovery Parameters cites this paper.

SHARP: Accelerating Language Model Inference by SHaring Adjacent layers with Recovery Parameters Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 24

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Observation 0d10b42b-515c-40a5-b47a-0fafba6430f3 · inbound

Get Experience from Practice: LLM Agents with Record & Replay cites this paper.

Get Experience from Practice: LLM Agents with Record & Replay Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 16

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Observation df1ccc47-c817-46e5-b64c-4ed0e368cc4e · inbound

MuLoCo: Muon is a practical inner optimizer for DiLoCo cites this paper.

MuLoCo: Muon is a practical inner optimizer for DiLoCo Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:26.558466Z

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Observation 7b19a67a-b969-4e9b-bd05-f3e374efaaa7 · inbound

Basis Transformers for Multi-Task Tabular Regression cites this paper.

Basis Transformers for Multi-Task Tabular Regression Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:50:18.794719Z

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Observation c0412028-06e2-44ca-afdf-febb77c88730 · inbound

TensorSLM: Energy-efficient Embedding Compression of Sub-billion Parameter Language Models on Low-end Devices cites this paper.

TensorSLM: Energy-efficient Embedding Compression of Sub-billion Parameter Language Models on Low-end Devices Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:05:48.910097Z

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Observation c82d999f-4886-446c-81dd-2fa049f2fca6 · inbound

Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators cites this paper.

Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T18:39:48.279372Z

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Observation 4c52a78a-a6e0-4ad8-a59b-a3e36ad36ad0 · inbound

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance cites this paper.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.928577Z

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Observation 696b93b9-96f5-49dc-af04-c4a478f741f8 · inbound

Similarity Field Theory: A Mathematical Framework for Intelligence cites this paper.

Reference 14

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f6d2d069-c6f6-451d-9f9d-23f49452f5d0 · inbound

SpaDA: A Spatial Dataflow Architecture Programming Language cites this paper.

SpaDA: A Spatial Dataflow Architecture Programming Language Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T22:20:23.248975Z

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 1c9812f9-a439-4926-ad6d-d58639597ea3 · inbound

Spectral Condition for $\mu$P under Width-Depth Scaling cites this paper.

Spectral Condition for $\mu$P under Width-Depth Scaling Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T18:06:25.514696Z

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 3030597b-90d3-49d4-b542-8bcf4d65b7e0 · inbound

Learning the Signature of Memorization in Autoregressive Language Models cites this paper.

Learning the Signature of Memorization in Autoregressive Language Models Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T19:53:11.472570Z

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 397fe58b-91bd-4d8c-832d-adabb3ac28a1 · inbound

Don't Waste Bits! Adaptive KV-Cache Quantization for Lightweight On-Device LLMs cites this paper.

Don't Waste Bits! Adaptive KV-Cache Quantization for Lightweight On-Device LLMs Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:55:48.072540Z

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 a5243836-dd44-4be2-b867-29d28b90e009 · 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 Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:46:06.499168Z

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Observation e53f190d-6c90-453b-8425-d49eb776e48f · inbound

GQA-{\mu}P: The maximal parameterization update for grouped query attention cites this paper.

GQA-{\mu}P: The maximal parameterization update for grouped query attention Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T16:37:39.819716Z

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 33fd6283-7502-4d89-822b-da9af1e96e67 · inbound

Transformer Scalability Crisis: The First Comprehensive Empirical Analysis of Performance Walls in Modern Language Models cites this paper.

Transformer Scalability Crisis: The First Comprehensive Empirical Analysis of Performance Walls in Modern Language Models Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T16:12:38.900193Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e9e163fd-e946-4b77-a4fc-472196530f2d · 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 Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:33:14.808607Z

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 fd334a5c-971e-46d0-917f-5e35d581e4cb · 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 Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 20

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Source-reported events for the cited work

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Observation e4d79cee-fbab-475c-a54c-8e6d81140666 · inbound

Validity Threats for Foundation Model Research cites this paper.

Validity Threats for Foundation Model Research Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:36:44.918374Z

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 83636f29-a75c-4049-8d5e-065e442f67a7 · inbound

Predictable Scaling Laws of Optimal Hyperparameters for LLM Continued Pre-training cites this paper.

Predictable Scaling Laws of Optimal Hyperparameters for LLM Continued Pre-training Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:46:56.727189Z

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 345089cb-143d-4052-8b8a-99f84689ca1e · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-26T15:39:33.213970Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b39796f-3374-4299-852e-1e98a5359572 · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:57:25.386062Z

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 be861fad-ea9a-493a-834d-189e4735834a · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:59:45.114260Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7eccc6d1-5602-4853-ae63-1f8ab990bf7f · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T18:55:59.707947Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 970f52ba-dd88-4742-ad29-5b29c5482ca2 · inbound

Sentence-Level Contextual Entrainment in Large Language Models cites this paper.

Sentence-Level Contextual Entrainment in Large Language Models Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:09:57.234685Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 454b17be-7946-4a0d-8b32-1848e781c172 · inbound

TokenPrint: A Calibrated Token-Space Fingerprint for Language-Model Provenance cites this paper.

TokenPrint: A Calibrated Token-Space Fingerprint for Language-Model Provenance Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 31

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Unavailable: canonical work link unavailable.