Paper Citation Record · LEDGER

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models

As of 4 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2606.27866.

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

pith.paper-citation-record.v1
2606.27866 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

verified exact12
verified fuzzy0
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dda9ace5-2d07-4ed1-bfe3-a35583141733 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-06-29T20:03:56.523531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1dde4f77-1f5e-4e2f-8554-b8d455f554f7 · outbound

This paper cites MathQA: Towards interpretable math word problem solving with operation-based formalisms.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models MathQA: Towards interpretable math word problem solving with operation-based formalisms

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T04:37:08.966401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 354bcda2-c298-44cc-87cd-e44282c17c0d · outbound

This paper cites MathQA: Towards interpretable math word problem solving with operation-based formalisms.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models MathQA: Towards interpretable math word problem solving with operation-based formalisms

Reference 3

Resolution: metadata mismatch; doi, observed 2026-06-29T04:43:06.471057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 68fc2839-8960-441c-8ddb-bac9d93de5b6 · outbound

This paper cites Retraining- free merging of sparse moe via hierarchical clustering.arXiv preprint arXiv:2410.08589.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models Retraining- free merging of sparse moe via hierarchical clustering.arXiv preprint arXiv:2410.08589

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:03:56.500944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f4550058-a002-4d67-9944-be9174f6001b · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-06-29T20:03:56.513437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7f0485a2-8708-4e2b-bf7b-074d2bdc8362 · outbound

This paper cites Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, and Xinchao Wang.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, and Xinchao Wang

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T04:43:06.474104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation da44ce67-482d-4860-9717-68eeaaf9d7f3 · outbound

This paper cites Flying serving: On-the-fly parallelism switching for large language model serving.arXiv preprint arXiv:2602.22593,.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models Flying serving: On-the-fly parallelism switching for large language model serving.arXiv preprint arXiv:2602.22593,

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:03:56.536878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e05c7e9f-7246-4177-8d84-300ff70353e3 · outbound

This paper cites Mixtral of Experts.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models Mixtral of Experts

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T20:03:56.530055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fdf20858-6652-41a7-b4ad-f5e9836ccf75 · outbound

This paper cites QuantMoE-Bench: Examining Post-Training Quantization for Mixture-of-Experts.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models QuantMoE-Bench: Examining Post-Training Quantization for Mixture-of-Experts

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T20:03:56.504800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fcabb9f8-d22d-43e8-99e5-337f6b42e878 · outbound

This paper cites doi: 10.18653/v1/2024.acl-long.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models doi: 10.18653/v1/2024.acl-long

Reference 10

Resolution: verified exact; doi, observed 2026-06-29T04:43:06.479502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation af6375dc-4982-4d37-a915-573de76b4f25 · outbound

This paper cites OrbitFlow: SLO-Aware Long-Context LLM Serving with Fine-Grained KV Cache Reconfigura- tion.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models OrbitFlow: SLO-Aware Long-Context LLM Serving with Fine-Grained KV Cache Reconfigura- tion

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:03:56.526734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 30b60e8a-f8ce-44c6-842f-30f643f48e28 · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T04:37:08.966401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b2c6672-96e8-41c0-abdd-eff78024985f · outbound

This paper cites Towards resiliency in large language model serving with KevlarFlow.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models Towards resiliency in large language model serving with KevlarFlow

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:03:56.496188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5aa9c4fb-a10b-441a-9f4a-c6fbbdd54349 · outbound

This paper cites MoSE: Mixture of Slimmable Experts for Efficient and Adaptive Language Models.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models MoSE: Mixture of Slimmable Experts for Efficient and Adaptive Language Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-06-29T20:03:56.510930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation df4a5a16-2c6d-4530-ba0a-6ae200110bbb · outbound

This paper cites Zyda-2: a 5 Trillion Token High-Quality Dataset.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models Zyda-2: a 5 Trillion Token High-Quality Dataset

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:03:56.520336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 04995abb-ca7b-428f-9b46-1aa5e55818d5 · outbound

This paper cites Training matryoshka mixture-of-experts for elastic inference- time expert utilization.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models Training matryoshka mixture-of-experts for elastic inference- time expert utilization

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:03:56.516536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4d1f78ce-4c7a-49af-9c15-0aeea8013a19 · outbound

This paper cites Qwen2 Technical Report.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models Qwen2 Technical Report

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T04:43:06.477135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 798cdc5b-1b67-4a21-8650-22082a646cf5 · outbound

This paper cites URL https:// doi.org/10.18653/v1/p19-1472.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models URL https:// doi.org/10.18653/v1/p19-1472

Reference 18

Resolution: metadata mismatch; doi, observed 2026-06-29T04:43:06.482048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fd90b1b6-c4c0-4a32-a506-6bfaa07c1a4f · outbound

This paper cites SGLang: Efficient Execution of Structured Language Model Programs.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models SGLang: Efficient Execution of Structured Language Model Programs

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T20:03:56.533297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2bee44cf-de8b-4689-8197-24a36c24dbea · outbound

This paper cites 100 ranked.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models 100 ranked

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:03:56.507908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.