Paper Citation Record · LEDGER

CCoE: A Compact and Efficient LLM Framework with Multi-Expert Collaboration for Resource-Limited Settings

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.11686.

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

pith.paper-citation-record.v1
2407.11686 v4

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 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:09:39.613000Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:01:00.813622Z

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 50cd9bf5-a83e-47e3-8f98-1ef2fbe3f2d9 · inbound

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities cites this paper.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities CCoE: A Compact and Efficient LLM Framework with Multi-Expert Collaboration for Resource-Limited Settings

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:36.791107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 065e8cff-927f-456f-82fd-c589d46ac4e5 · inbound

CoE-Ops: Collaboration of LLM-based Experts for AIOps Question-Answering cites this paper.

CoE-Ops: Collaboration of LLM-based Experts for AIOps Question-Answering CCoE: A Compact and Efficient LLM Framework with Multi-Expert Collaboration for Resource-Limited Settings

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T18:09:39.613000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce4ec960-1f75-4738-af8b-57a79c282459 · inbound

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs CCoE: A Compact and Efficient LLM Framework with Multi-Expert Collaboration for Resource-Limited Settings

Reference 166

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:45:59.687298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 39380edb-db9c-4822-9bc6-e5799d39016c · inbound

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning cites this paper.

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning CCoE: A Compact and Efficient LLM Framework with Multi-Expert Collaboration for Resource-Limited Settings

Reference 151

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:01:00.817342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.