Paper Citation Record · LEDGER

Efficient Large Scale Language Modeling with Mixtures of Experts

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 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 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:53:28.504969Z

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
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+00:00.