Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2411.01016.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:52:09.523179Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T17:14:57.406110Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 0272af74-5132-471d-816a-2bfd2ee463fa · inbound
Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging MoE-I$^2$: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation adc35558-fd31-43f6-910d-11c348de5fea · inbound
LExI: Layer-Adaptive Active Experts for Efficient MoE Model Inference MoE-I$^2$: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3df6d3c-33f2-43a4-89fc-75718c3ca28c · inbound
Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs MoE-I$^2$: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition
Reference 45
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c986254d-4e84-45a7-81e5-e58639686ea9 · inbound
PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference MoE-I$^2$: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition
Reference 31
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba5cfb40-d5cc-4cea-be5f-101809737376 · inbound
ButterflyMoE: Compression-Scalable Ternary Experts via Structured Butterfly Orbits MoE-I$^2$: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd1471e9-d9dd-431f-b701-928b761f5709 · inbound
EvoESAP: Non-Uniform Expert Pruning for Sparse MoE MoE-I$^2$: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition
Reference 60
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 db7cfda7-5df8-4f90-82bf-f193ef37c6fb · inbound
Path-Constrained Mixture-of-Experts MoE-I$^2$: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition
Reference 17
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 95615c89-1ce1-4a93-948e-e8717e670abb · inbound
FluxMoE: Decoupling Expert Residency for High-Performance MoE Serving MoE-I$^2$: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition
Reference 53
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 d58bc009-1d59-459c-9739-63e84a7a37cd · inbound
BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization MoE-I$^2$: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition
Reference 47
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 528da36e-b37d-4f86-af60-f3647c4a628a · inbound
Beyond Uniform Experts: Cost-Aware Expert Execution for Efficient Multi-Device MoE Inference MoE-I$^2$: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition
Reference 37
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 49ffc646-cb1b-4427-b0e8-255ff2f9e063 · inbound
Communication-Aware Placement and Pruning for Efficient Mixture-of-Experts Inference MoE-I$^2$: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.