Paper Citation Record · LEDGER

STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.06211.

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

pith.paper-citation-record.v1
2409.06211 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:52:05.432000Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:36:55.517162Z

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 060cca54-192b-4a22-a3ef-037cea81d0d4 · inbound

Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging cites this paper.

Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:05.432000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5a99e4a-4446-4a66-978b-cd849d8a7891 · inbound

PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference cites this paper.

PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T23:41:52.885793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Does a Global Perspective Help Prune Sparse MoEs Elegantly? cites this paper.

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 2026-08-07T06:34:17.273281+00:00.

Observation 2587000c-ea08-4b28-aefe-604cfce0a32b · inbound

Less is MoE: Trimming Experts in Domain-Specialist Language Models cites this paper.

Less is MoE: Trimming Experts in Domain-Specialist Language Models STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:36:55.518743Z

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 8437a902-e1e2-49ae-a5a6-226c29c016d7 · inbound

Communication-Aware Placement and Pruning for Efficient Mixture-of-Experts Inference cites this paper.

Communication-Aware Placement and Pruning for Efficient Mixture-of-Experts Inference STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-11T08:35:22.347459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.