Paper Citation Record · LEDGER

Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.12034.

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

pith.paper-citation-record.v1
2406.12034 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:08:19.852711Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T22:16:04.800890Z

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 74493416-e500-41ef-a1f3-95a84cef29de · inbound

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities cites this paper.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:16:04.803434Z

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 610cf59a-1b5b-4248-8419-0feacd8cdb6a · inbound

Feedback-Driven Vision-Language Alignment with Minimal Human Supervision cites this paper.

Feedback-Driven Vision-Language Alignment with Minimal Human Supervision Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T21:34:35.113712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04e8bae0-0b4a-4ced-b232-7b9e1abe630b · inbound

Transformer-Squared: Self-adaptive LLMs cites this paper.

Transformer-Squared: Self-adaptive LLMs Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:28:02.684377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30cff706-88fa-474e-88af-5e7b42c49f49 · inbound

MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs cites this paper.

MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T17:01:41.108454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7f28ee9-c1e3-4b7d-a8dd-dedb1d2ba108 · inbound

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness cites this paper.

Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:19.852711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e891e19e-efe5-455b-b531-266ec30aa7ac · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts

Reference 156

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:34.874121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca94fb1a-cca3-4038-b2e5-9430a494c013 · inbound

PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models cites this paper.

PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:31:03.306384Z

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 767905fa-3b14-4241-8164-9bc7abea59e2 · inbound

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

Modular Foundation Models for Time-Series Perception in Digital Twins Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts

Reference 9

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.