Paper Citation Record · LEDGER

Efficient Large Scale Language Modeling with Mixtures of Experts

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2112.10684.

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

pith.paper-citation-record.v1
2112.10684 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:33:22.720381Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:36:16.721505Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 32a6ba29-5386-4c8e-a5f7-0db809e90907 · inbound

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? cites this paper.

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 190

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:51:46.877478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f55a99eb-5a16-4349-8d7c-42307fc0760b · inbound

InCoder: A Generative Model for Code Infilling and Synthesis cites this paper.

InCoder: A Generative Model for Code Infilling and Synthesis Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:21:20.464819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 87fc9f96-7a52-45ad-a387-688048f16105 · inbound

GPT-NeoX-20B: An Open-Source Autoregressive Language Model cites this paper.

GPT-NeoX-20B: An Open-Source Autoregressive Language Model Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-24T12:34:28.200651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1cb42d52-0636-42b9-97ed-e67f246027a3 · inbound

OPT: Open Pre-trained Transformer Language Models cites this paper.

OPT: Open Pre-trained Transformer Language Models Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 287

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T20:53:17.887823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f487086e-f9af-4a06-a760-1fba15f9477d · inbound

Emergent Abilities of Large Language Models cites this paper.

Emergent Abilities of Large Language Models Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:38:38.018560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 33f09b31-2c0a-4d40-8320-75c228c7512c · inbound

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale cites this paper.

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 118

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T13:35:36.034981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4cfcdc35-95fd-4e6d-9bea-35bfe4e126f3 · 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 Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:44:22.789288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9582cd58-99b0-4787-bf69-af2e15d3b682 · 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 Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T20:43:45.814699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de023224-8b76-4114-9561-e053f1dcdced · inbound

DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models cites this paper.

DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 170

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T01:07:22.300478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4209e00a-e48b-4842-8231-8b05048a10d6 · inbound

The Falcon Series of Open Language Models cites this paper.

The Falcon Series of Open Language Models Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 242

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T09:46:09.982830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f3dd5bc0-b804-493f-999d-4fe705cc09d8 · inbound

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction cites this paper.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T14:33:22.720381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bcc0a66-3e83-47ef-b5f1-7647ffb53a27 · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:12.148766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a320d8a0-be26-425e-b3e8-683d7ac95a5d · inbound

A Survey of End-to-End Modeling for Distributed DNN Training: Workloads, Simulators, and TCO cites this paper.

A Survey of End-to-End Modeling for Distributed DNN Training: Workloads, Simulators, and TCO Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:52.178001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47e4f7dc-5113-4cc3-b083-c681add78bde · inbound

On the Fitness Landscape in the $NK$ Model cites this paper.

On the Fitness Landscape in the $NK$ Model Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T19:28:53.637326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78aa2a76-a5c6-4126-907b-2a602040a306 · inbound

HAP: Hybrid Adaptive Parallelism for Efficient Mixture-of-Experts Inference cites this paper.

HAP: Hybrid Adaptive Parallelism for Efficient Mixture-of-Experts Inference Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:28.504969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f403ef49-7024-4c19-a63d-0f28c93c1b59 · inbound

Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference cites this paper.

Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:51:42.224496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation af5eecf4-66be-463d-a200-6a4e94ef4ba4 · inbound

Tracing the ongoing emergence of human-like reasoning in Large Language Models cites this paper.

Tracing the ongoing emergence of human-like reasoning in Large Language Models Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:04:37.198324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 54776406-cfa2-4997-b3f1-36e6e72426e5 · inbound

Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs cites this paper.

Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:24:40.034915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 072673fc-84d4-4fd9-8b66-1fd0f9e22efa · inbound

When Meaning Travels: A Granular Lens on Hybrid-MoE's Role in Idiomatic Understanding for Language Models cites this paper.

When Meaning Travels: A Granular Lens on Hybrid-MoE's Role in Idiomatic Understanding for Language Models Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 116

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:36:16.722971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.