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Paper Citation Record · LEDGER

Soft Merging of Experts with Adaptive Routing

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:34.714949Z

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 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.

source=pdf_text observed=2026-08-07T14:33:34.714949Z digest=sha256:09e7a529ad139b606476fb3a274c7be8d86d7d6bd107a0a309962802af4d8138

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.

source=pdf_text observed=2026-08-07T04:42:45.784299Z digest=sha256:06ec71a2bda4f623b330af589e9dfb397b07aac496b81e867e3b36927f6b0675

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.

source=arxiv_source observed=2026-08-07T00:56:26.245959Z digest=sha256:bb06303bf954b597b923a30d4aff607f8217411a0247d37c1a73a60cc6eda599

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.

source=arxiv_source observed=2026-08-06T18:20:00.332298Z digest=sha256:d8f4d835007028be25b8cfc5efd959ff61795183098d1d68d3cee5a0b10497a0

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.

source=pdf_text observed=2026-08-03T19:15:56.279870Z digest=sha256:b2fe02091c093653898d2bd6f93ebf5a5498c5bda3dbd99b40b2099507e0391c

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.

source=arxiv_source observed=2026-08-02T19:55:06.815568Z digest=sha256:6cad56e2f8f560445b30cf43d678a880815765ce967e1ff59b07bbe282d8addf

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

source=pdf_text observed=2026-05-09T21:52:25.776287Z digest=sha256:c61bf3bdcd662e45a01e15adccd7ac81a1f0493fe4056a486263080cabe5fd13

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

source=arxiv_source observed=2026-05-12T03:36:12.915133Z digest=sha256:ea595f371b2331a13113f80e7c52cae86528268399f6d000500a3eff482a6a5d

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

source=arxiv_source observed=2026-05-13T07:29:14.545746Z digest=sha256:70b48a80fc47f2d4f4aca828a2fdc9bf3269ef889401ce295b557e7474655903

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

source=arxiv_source observed=2026-05-21T07:57:49.746594Z digest=sha256:09c30dbd95495d9d1dfedff8777b0f6c3d53ec10c39c4a2b08682904601e5ada

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.

source=arxiv_source observed=2026-07-12T01:22:51.284207Z digest=sha256:7ab79aa395dfa5eb48d37e0dea01454bd1b739a8e06434a5694403fef886e472

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.

source=pdf_text observed=2026-08-02T07:56:24.694066Z digest=sha256:cb28fffd73f85003e59ac1af9c45e89a7ff1517d8b8a128e129af629ad73fc66