Paper Citation Record · LEDGER

Delta Decompression for MoE-based LLMs Compression

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2502.17298.

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

pith.paper-citation-record.v1
2502.17298 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:55.649040Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:36:55.528238Z

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 7471b494-bebc-44b2-ac98-e8fb7b70cc5d · inbound

Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression cites this paper.

Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression Delta Decompression for MoE-based LLMs Compression

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:55.649040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78fd537e-1538-4f76-9220-d34c3e7e2139 · inbound

Multi-objective Large Language Model Alignment with Hierarchical Experts cites this paper.

Multi-objective Large Language Model Alignment with Hierarchical Experts Delta Decompression for MoE-based LLMs Compression

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:10.042146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bdbe17f-3b3a-4a46-a047-249925abe0b4 · inbound

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs cites this paper.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Delta Decompression for MoE-based LLMs Compression

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.077844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a02cae48-d646-42a7-943f-7854944a495e · 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 Delta Decompression for MoE-based LLMs Compression

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T23:41:52.856931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1054f7ef-8bbd-44ba-8180-6b1a84cd9428 · inbound

EvoESAP: Non-Uniform Expert Pruning for Sparse MoE cites this paper.

EvoESAP: Non-Uniform Expert Pruning for Sparse MoE Delta Decompression for MoE-based LLMs Compression

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:35:55.665059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6b364542-12fe-47e2-98d8-cded1c5c893b · inbound

Symbiotic-MoE: Unlocking the Synergy between Generation and Understanding cites this paper.

Symbiotic-MoE: Unlocking the Synergy between Generation and Understanding Delta Decompression for MoE-based LLMs Compression

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:41:04.126783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9f443108-f18e-43bb-86b3-b8cac2347057 · inbound

Multi-LLM Token Filtering and Routing for Sequential Recommendation cites this paper.

Multi-LLM Token Filtering and Routing for Sequential Recommendation Delta Decompression for MoE-based LLMs Compression

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:11:06.740649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 120c11e8-9fe3-4b1e-bfdb-4fdc13b4cd18 · inbound

Dynamic Model Merging Made Slim cites this paper.

Dynamic Model Merging Made Slim Delta Decompression for MoE-based LLMs Compression

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-20T15:18:25.370548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ed35ca09-830f-49d2-a20d-b604f604c24e · inbound

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

Less is MoE: Trimming Experts in Domain-Specialist Language Models Delta Decompression for MoE-based LLMs Compression

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:36:55.529639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.