Paper Citation Record · LEDGER

CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.01663.

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

pith.paper-citation-record.v1
2404.01663 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:10:14.453120Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T08:05:30.670213Z

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 a70badb6-48e0-4f63-bd32-8cddb9aca1a6 · inbound

Generalist Virtual Agents: A Survey on Autonomous Agents Across Digital Platforms cites this paper.

Generalist Virtual Agents: A Survey on Autonomous Agents Across Digital Platforms CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T19:10:14.453120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd10c118-04e0-4971-95ff-5655458199aa · inbound

AI PERSONA: Towards Life-long Personalization of LLMs cites this paper.

AI PERSONA: Towards Life-long Personalization of LLMs CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:41.274410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3036e81-923d-41ae-a7e2-271da506d254 · inbound

Training-Free Multimodal Large Language Model Orchestration cites this paper.

Training-Free Multimodal Large Language Model Orchestration CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-19T00:12:54.112232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ddaacb95-eb59-4eda-97c3-3e38f1a42de9 · inbound

Training-Free Multimodal Large Language Model Orchestration cites this paper.

Training-Free Multimodal Large Language Model Orchestration CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:05:30.673078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 353e85dd-3312-4a49-adf5-274929a3d896 · inbound

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers cites this paper.

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T12:53:04.364500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abc734bf-11d4-4969-b349-88615310ec8d · inbound

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture cites this paper.

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T12:53:15.035778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9c6956c-ddfb-4946-ac4d-a48a06b1a062 · inbound

Hermes: A Multi-Scale Spatial-Temporal Hypergraph Network for Stock Time Series Forecasting cites this paper.

Hermes: A Multi-Scale Spatial-Temporal Hypergraph Network for Stock Time Series Forecasting CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:36:22.638795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.