Paper Citation Record · LEDGER

Does a Global Perspective Help Prune Sparse MoEs Elegantly?

As of 13 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2604.06542.

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

pith.paper-citation-record.v1
2604.06542 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T19:06:25.626026Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:03:28.813588Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T01:03:30.143142Z

Reference resolution

21 of 21 outbound references displayed

verified exact14
verified fuzzy3
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f11c00e-da50-4840-bb89-98b9a2f997d0 · outbound

This paper cites online" 'onlinestring :=.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? online" 'onlinestring :=

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T09:02:39.201413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6add92fd-0ade-49f3-9eed-3fcfd36d2810 · outbound

This paper cites write newline.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? write newline

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T09:02:39.196923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 131ae974-8d11-4cac-8d5a-e121efd8a017 · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? gpt-oss-120b & gpt-oss-20b Model Card

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-10T23:30:50.778127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8b63c709-848a-4da2-9df3-4b2a0a960a66 · outbound

This paper cites an unresolved cited work.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-16T09:02:39.194209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b5b9c3f2-51bd-4a1a-8ddd-5db441957527 · outbound

This paper cites Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:30:50.790094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b31eac1e-4942-4f4a-a6fb-c6e3e0ba5fbd · outbound

This paper cites Task-Specific Expert Pruning for Sparse Mixture-of-Experts.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? Task-Specific Expert Pruning for Sparse Mixture-of-Experts

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:30:50.763469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c9fc6343-9ead-4f99-9632-abb0e3d61ffc · outbound

This paper cites A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:30:50.727393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fe54e224-a475-43aa-ab95-6c7abdaf296a · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:50:20.439308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 97f395e7-538e-4b56-8b4e-b7106bf4f416 · outbound

This paper cites Reliability of cka as a similarity measure in deep learning.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? Reliability of cka as a similarity measure in deep learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T09:02:39.198963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4434ed0e-eddc-4308-9ade-aba940bb6290 · outbound

This paper cites Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:30:50.669932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 399404a6-ad5d-498c-8b97-570560094a3c · outbound

This paper cites Mixtral of Experts.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? Mixtral of Experts

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-10T23:30:50.673558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0478f288-fa4e-44ef-8fcf-1f0bd1616761 · outbound

This paper cites Scaling Laws for Neural Language Models.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? Scaling Laws for Neural Language Models

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-10T23:30:50.770470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e761fc29-ef85-401f-b006-6b2e62986b66 · outbound

This paper cites STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:30:50.738657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6b14c7c7-bca8-4627-bb25-3240cacc8be9 · outbound

This paper cites an unresolved cited work.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-05-16T09:02:39.192165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c031e5d6-1a7e-43d7-b491-af240c495618 · outbound

This paper cites Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:57:27.189710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 50b30048-2659-47a3-8189-2652e2a66b70 · outbound

This paper cites Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:30:50.688930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cf7d7846-ebd8-4887-b69f-5954f224966b · outbound

This paper cites an unresolved cited work.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-05-16T09:02:39.187893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 307bd995-80ed-4b41-9a09-f9327d153578 · outbound

This paper cites Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:30:50.751478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9d221cca-b0a8-4077-bb8f-5030b246773c · outbound

This paper cites Qwen2.5 Technical Report.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? Qwen2.5 Technical Report

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-10T23:30:50.678362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c087d203-cade-4bba-9a57-b8d082b37f7d · outbound

This paper cites an unresolved cited work.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-05-16T09:02:39.190016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f529c584-1b2a-476f-aec3-bd1001a0608e · outbound

This paper cites ST-MoE: Designing Stable and Transferable Sparse Expert Models.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? ST-MoE: Designing Stable and Transferable Sparse Expert Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:14:26.471193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation de96899c-9265-436f-be10-8ebd13191676 · inbound

When Compression Scores Cannot Decide: Information Boundaries for Group-Robust LLM Pruning cites this paper.

When Compression Scores Cannot Decide: Information Boundaries for Group-Robust LLM Pruning Does a Global Perspective Help Prune Sparse MoEs Elegantly?

Reference 37

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T01:03:30.201744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.