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Paper Citation Record · LEDGER

Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud Scale Production

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2211.10017.

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

pith.paper-citation-record.v1
2211.10017 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:39:38.114571Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T08:29:11.262981Z

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 c3a84b7f-9d06-4b7d-b959-6ba902e48313 · inbound

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration cites this paper.

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud Scale Production

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:29:11.266129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-24T08:27:35.798991Z digest=sha256:d43c2d4b6899404d0b217fee800e357d58ab2fa3547edc234649371ffcf684aa

Observation c5bd2656-c079-4be1-bbc7-612f7e08e974 · inbound

Flash Communication: Reducing Tensor Parallelization Bottleneck for Fast Large Language Model Inference cites this paper.

Flash Communication: Reducing Tensor Parallelization Bottleneck for Fast Large Language Model Inference Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud Scale Production

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T21:11:39.139988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:11:39.139988Z digest=sha256:2312f4667d91384ceab11a37fab6539fe7d371dc08ccb3ae013aca8e151f11a4

Observation e9d79fa4-3f3f-4126-b874-fc780814baf4 · inbound

A Survey on Inference Optimization Techniques for Mixture of Experts Models cites this paper.

A Survey on Inference Optimization Techniques for Mixture of Experts Models Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud Scale Production

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-11T12:44:35.672870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:44:35.672870Z digest=sha256:79431301af4f14955e6255a890754b174d4deed492e1e5ba4bba307d72228a7d

Observation 22bff968-bbb3-4be0-85b4-9dcfb2f4ed3a · inbound

TileLang: A Composable Tiled Programming Model for AI Systems cites this paper.

TileLang: A Composable Tiled Programming Model for AI Systems Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud Scale Production

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T10:39:38.114571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:39:38.114571Z digest=sha256:ddcb1e09f2111365967fd94129ebdb742af40873c6d9cfc94347c9a6c502da1a

Observation 7d6270ae-746d-425f-beab-4b82702672fd · inbound

MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design cites this paper.

MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud Scale Production

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T23:01:20.108195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:01:20.108195Z digest=sha256:44eb1ddde582361d1c1a777d6b24c0ddfb6ada1b6f45fba5f87900049fc43c27

Observation 2d0e2cc0-40ab-4dca-a2b6-45e6a1e09118 · inbound

Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression cites this paper.

Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud Scale Production

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T22:36:42.298592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:36:42.298592Z digest=sha256:face93e1165cb2ad661a8ff12eba11bd5e9b107dea92ab603601566649a7d987

Observation d95323e6-6d63-4693-9771-b9fc4ee84392 · inbound

FluxMoE: Decoupling Expert Residency for High-Performance MoE Serving cites this paper.

FluxMoE: Decoupling Expert Residency for High-Performance MoE Serving Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud Scale Production

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T20:18:13.261061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T20:16:16.466375Z digest=sha256:aeb6e201571350b530bab3296a0e1efd8ae843d2907d9d083c30610cf8f8c59d