Paper Citation Record · LEDGER

Fast Inference of Mixture-of-Experts Language Models with Offloading

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2312.17238.

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

pith.paper-citation-record.v1
2312.17238 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:58:49.567474Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:39:56.479057Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 b7b9dc76-8433-4408-b2b3-edbc5d6a2998 · inbound

Mixtral of Experts cites this paper.

Mixtral of Experts Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-24T04:13:53.768565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 57cbe660-d453-4c4b-b85b-fd89038d3988 · inbound

Lynx: Enabling Efficient MoE Inference through Dynamic Batch-Aware Expert Selection cites this paper.

Lynx: Enabling Efficient MoE Inference through Dynamic Batch-Aware Expert Selection Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T17:05:42.962447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 55ab2dfb-5b33-4648-897b-1a4f4fa7ad5f · inbound

On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention cites this paper.

On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:49.567474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a3c1a15-ecce-4ede-abb9-dc516e42cffe · inbound

Cache Management for Mixture-of-Experts LLMs -- extended version cites this paper.

Cache Management for Mixture-of-Experts LLMs -- extended version Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T11:48:30.265238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50f6c9cc-1a75-4bd0-85ca-829cd62620d5 · inbound

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? cites this paper.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T21:51:04.085632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 875b6dce-b865-416e-833d-d33894ade016 · inbound

Accelerating Mixture-of-Expert Inference with Adaptive Expert Split Mechanism cites this paper.

Accelerating Mixture-of-Expert Inference with Adaptive Expert Split Mechanism Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T20:55:18.824902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97cdaeee-e4d1-4928-81bc-99f65c599ee5 · inbound

Patterns behind Chaos: Forecasting Data Movement for Efficient Large-Scale MoE LLM Inference cites this paper.

Patterns behind Chaos: Forecasting Data Movement for Efficient Large-Scale MoE LLM Inference Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T09:56:13.364339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 55c79c1e-5af5-4994-ab70-2257e512a681 · inbound

A Scheduling Framework for Efficient MoE Inference on Edge GPU-NDP Systems cites this paper.

A Scheduling Framework for Efficient MoE Inference on Edge GPU-NDP Systems Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T12:12:46.908768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5ea1806-5533-4d32-b8f8-4fa5b08bc178 · inbound

ZipMoE: Efficient On-Device MoE Serving via Lossless Compression and Cache-Affinity Scheduling cites this paper.

ZipMoE: Efficient On-Device MoE Serving via Lossless Compression and Cache-Affinity Scheduling Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:45:29.258625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 279b913d-45ce-4afd-96e1-dee673e1c68f · inbound

Temporally Extended Mixture-of-Experts Models cites this paper.

Temporally Extended Mixture-of-Experts Models Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:39:48.246838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f0d89220-01c7-4c6a-8d56-df888f7fefab · inbound

Scaling Multi-Node Mixture-of-Experts Inference Using Expert Activation Patterns cites this paper.

Scaling Multi-Node Mixture-of-Experts Inference Using Expert Activation Patterns Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:36:10.827410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d8d31969-13bf-4095-be85-c883a2df96c4 · inbound

VisMMOE: Exploiting Visual-Expert Affinity for Efficient Visual-Language MoE Offloading cites this paper.

VisMMOE: Exploiting Visual-Expert Affinity for Efficient Visual-Language MoE Offloading Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:36:06.453365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 27eaf72f-a32c-4b38-86b6-2340c878028f · inbound

TIDE: Efficient and Lossless MoE Diffusion LLM Inference with I/O-aware Expert Offload cites this paper.

TIDE: Efficient and Lossless MoE Diffusion LLM Inference with I/O-aware Expert Offload Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:13:03.710574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a20efcfd-4283-4bd5-b036-b37f7283b9fc · inbound

PALS: Power-Aware LLM Serving for Mixture-of-Experts Models cites this paper.

PALS: Power-Aware LLM Serving for Mixture-of-Experts Models Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:09:33.685626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd0db0fd-e662-4314-b0aa-de69969497cd · inbound

Does Mixture-of-Experts Actually Help Inference on Consumer and Edge Hardware? An Empirical Study cites this paper.

Does Mixture-of-Experts Actually Help Inference on Consumer and Edge Hardware? An Empirical Study Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:59:39.570551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 77fe61f6-e4f1-485d-a0f7-e05a193591eb · inbound

Does Mixture-of-Experts Actually Help Inference on Consumer and Edge Hardware? An Empirical Study cites this paper.

Does Mixture-of-Experts Actually Help Inference on Consumer and Edge Hardware? An Empirical Study Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T13:05:17.273287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ad6a6fe-0125-4b4e-8410-e7ef99d3df00 · inbound

WiSP: A Working-Set View of Mixture-of-Experts Serving on Extremely Low-Resource Hardware cites this paper.

WiSP: A Working-Set View of Mixture-of-Experts Serving on Extremely Low-Resource Hardware Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:49:39.572738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b47a5de4-1eeb-449d-bbfc-1e1b32b55484 · inbound

GeMoE: Gating Entropy is All You Need for Uncertainty-aware Adaptive Routing in MoE-based Large Vision-Language Models cites this paper.

GeMoE: Gating Entropy is All You Need for Uncertainty-aware Adaptive Routing in MoE-based Large Vision-Language Models Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T15:39:56.480301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4b72e20b-0132-473b-bccb-7cc1e8163784 · inbound

Beyond Uniform Experts: Cost-Aware Expert Execution for Efficient Multi-Device MoE Inference cites this paper.

Beyond Uniform Experts: Cost-Aware Expert Execution for Efficient Multi-Device MoE Inference Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T17:14:57.447292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 778f6169-e786-4b4a-afd2-887bcfc3461e · inbound

Broadcast Rate Limits in Wi-Fi: A Forgotten Bottleneck for Collaborative Edge LLM Inference cites this paper.

Broadcast Rate Limits in Wi-Fi: A Forgotten Bottleneck for Collaborative Edge LLM Inference Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T09:01:16.896518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.