Paper Citation Record · LEDGER

Merging Multi-Task Models via Weight-Ensembling Mixture of Experts

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.00433.

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

pith.paper-citation-record.v1
2402.00433 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:40:16.270235Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:29:04.540367Z

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 6a03339f-ac87-4f89-a8dc-bce12c3bd064 · inbound

Channel Merging: Preserving Specialization for Merged Experts cites this paper.

Channel Merging: Preserving Specialization for Merged Experts Merging Multi-Task Models via Weight-Ensembling Mixture of Experts

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T12:40:16.270235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43ecd11e-a87f-4478-aff2-34ca8cd0d140 · inbound

Mixture of Experts (MoE): A Big Data Perspective cites this paper.

Mixture of Experts (MoE): A Big Data Perspective Merging Multi-Task Models via Weight-Ensembling Mixture of Experts

Reference 162

Resolution: unresolved; no resolver link, observed 2026-08-10T18:56:37.786841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 171d31b1-9863-4c5e-b59c-e5f1252dde59 · inbound

MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework cites this paper.

MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework Merging Multi-Task Models via Weight-Ensembling Mixture of Experts

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T11:29:04.618001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d295cc7b-718d-455a-9105-b400c7f03814 · inbound

Heterogeneous Ranking in Industrial-Scale Recommender Systems: A Case Study cites this paper.

Heterogeneous Ranking in Industrial-Scale Recommender Systems: A Case Study Merging Multi-Task Models via Weight-Ensembling Mixture of Experts

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T05:25:16.468174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.