Paper Citation Record · LEDGER

Soft Merging of Experts with Adaptive Routing

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2306.03745.

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

pith.paper-citation-record.v1
2306.03745 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:08:06.547274Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T07:59:50.216550Z

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 c9e523aa-becd-4f1a-bc78-6a68f50060ba · inbound

ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing cites this paper.

ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing Soft Merging of Experts with Adaptive Routing

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T12:03:42.950810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26b023ac-f3ee-4eb8-81d8-0cb13684e14b · inbound

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning cites this paper.

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning Soft Merging of Experts with Adaptive Routing

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T14:42:10.753781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 802491ba-907d-4a32-8e5e-56693ca642de · inbound

BTS: Harmonizing Specialized Experts into a Generalist LLM cites this paper.

BTS: Harmonizing Specialized Experts into a Generalist LLM Soft Merging of Experts with Adaptive Routing

Reference 1989

Resolution: unresolved; no resolver link, observed 2026-08-09T21:59:01.099537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b8e5639-9a2b-4b7a-993c-c7d76221e730 · inbound

Guiding the Experts: Semantic Priors for Efficient and Focused MoE Routing cites this paper.

Guiding the Experts: Semantic Priors for Efficient and Focused MoE Routing Soft Merging of Experts with Adaptive Routing

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:34.714949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48f511f2-2856-4029-aaf3-3d658afcec93 · inbound

MetricHMSR:Metric Human Mesh and Scene Recovery from Monocular Images cites this paper.

MetricHMSR:Metric Human Mesh and Scene Recovery from Monocular Images Soft Merging of Experts with Adaptive Routing

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T04:42:45.784299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 137ca168-5574-4685-b399-198c2827b237 · inbound

Automatic Expert Discovery in LLM Upcycling via Sparse Interpolated Mixture-of-Experts cites this paper.

Automatic Expert Discovery in LLM Upcycling via Sparse Interpolated Mixture-of-Experts Soft Merging of Experts with Adaptive Routing

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T00:56:26.245959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c792a5f-a297-4f88-a602-aff13ae896e4 · inbound

BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity cites this paper.

BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity Soft Merging of Experts with Adaptive Routing

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:00.332298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c03961da-b987-40f1-bdb4-91d93cbc3706 · inbound

Stay Unique, Stay Efficient: Preserving Model Personality in Multi-Task Merging cites this paper.

Stay Unique, Stay Efficient: Preserving Model Personality in Multi-Task Merging Soft Merging of Experts with Adaptive Routing

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T19:15:56.279870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0004893e-f39d-48d5-8a1e-593809a6a2e4 · inbound

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging cites this paper.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Soft Merging of Experts with Adaptive Routing

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T19:55:06.815568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 123ad904-1b0a-492c-9022-f3320e5e509b · inbound

Teacher-Guided Routing for Sparse Vision Mixture-of-Experts cites this paper.

Teacher-Guided Routing for Sparse Vision Mixture-of-Experts Soft Merging of Experts with Adaptive Routing

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:26:03.315667Z

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 bad0d3cd-ce92-4e09-b947-7d7683a3a42d · inbound

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices cites this paper.

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices Soft Merging of Experts with Adaptive Routing

Reference 154

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:36:19.871299Z

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 e06cf547-f47d-4ac8-a234-f68c2869e858 · inbound

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices cites this paper.

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices Soft Merging of Experts with Adaptive Routing

Reference 154

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:32:30.437575Z

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 949fd276-e4cc-4187-ab0c-d3b809ed0e2e · inbound

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices cites this paper.

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices Soft Merging of Experts with Adaptive Routing

Reference 154

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:59:50.218611Z

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 7a9ab267-c335-4ae3-8d49-d98891eb73fb · inbound

Modular Foundation Models for Time-Series Perception in Digital Twins cites this paper.

Modular Foundation Models for Time-Series Perception in Digital Twins Soft Merging of Experts with Adaptive Routing

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-12T01:22:51.284207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfdcdc10-17aa-44f4-b7aa-8f2ceb89c88c · inbound

It Takes a MAESTRO To Prune Bad Experts cites this paper.

It Takes a MAESTRO To Prune Bad Experts Soft Merging of Experts with Adaptive Routing

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T07:56:24.694066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c87a1f04-715e-4808-ac78-43a805473548 · inbound

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts cites this paper.

Compute-Optimal Is Not Cluster-Optimal: Systems-Aware Scaling for Sparse Mixture-of-Experts Soft Merging of Experts with Adaptive Routing

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T21:08:06.547274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.