Paper Citation Record · LEDGER

Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2407.06089.

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

pith.paper-citation-record.v1
2407.06089 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 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 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:21:28.096521Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T08:15:32.170000Z

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 4e4c0ce4-9ec1-4d48-8447-56aa6fd17594 · inbound

Enhancing Answer Reliability Through Inter-Model Consensus of Large Language Models cites this paper.

Enhancing Answer Reliability Through Inter-Model Consensus of Large Language Models Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:28.096521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16c2aa8e-5cf6-42dd-bd66-237ea17d15fa · inbound

Large Language Models Merging for Enhancing the Link Stealing Attack on Graph Neural Networks cites this paper.

Large Language Models Merging for Enhancing the Link Stealing Attack on Graph Neural Networks Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T20:23:28.452377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75eaa4fe-bf7c-4e96-adab-af73b99e3830 · inbound

How to Merge Your Multimodal Models Over Time? cites this paper.

How to Merge Your Multimodal Models Over Time? Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T19:24:43.255376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 859a9c5f-6519-4f6b-b9a7-6c872ae85158 · inbound

Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning cites this paper.

Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T11:08:56.488571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b7d6225-d715-40ec-886e-270de1e2e374 · inbound

Enhancing Annotated Bibliography Generation with LLM Ensembles cites this paper.

Enhancing Annotated Bibliography Generation with LLM Ensembles Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T23:11:29.414674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35c96503-4eee-4914-a6cf-aae9ad6b3a5c · inbound

Language Models for Code Optimization: Survey, Challenges and Future Directions cites this paper.

Language Models for Code Optimization: Survey, Challenges and Future Directions Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-10T22:34:34.617437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deddc084-32d9-4474-88c8-08dbe035de42 · inbound

Multi-Agent Collaboration Mechanisms: A Survey of LLMs cites this paper.

Multi-Agent Collaboration Mechanisms: A Survey of LLMs Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:54:54.265120Z

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 befbb662-ff8a-4e59-8f1b-c44bb0c50ead · inbound

Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging cites this paper.

Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T20:03:11.130880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c78b2b07-1f10-425c-bbd7-584080f5fb2b · inbound

Ensembles of Low-Rank Expert Adapters cites this paper.

Ensembles of Low-Rank Expert Adapters Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.592292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02f97edf-a985-47ca-a27f-00e711e5f0be · inbound

Fast Large Language Model Collaborative Decoding via Speculation cites this paper.

Fast Large Language Model Collaborative Decoding via Speculation Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:42.836845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69c87c17-069f-4e21-a904-43e839efd2f6 · inbound

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems cites this paper.

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T13:08:22.737136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb9b608c-62cf-4042-9868-d6ca9a3397b6 · inbound

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble cites this paper.

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:25:19.688907Z

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 5a3ecc51-4152-4ff9-adc9-aaf5dc8a5fc6 · inbound

The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants cites this paper.

The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:36.638918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f0e9384-2555-42b8-a69a-25320879844f · inbound

RLAE: Reinforcement Learning-Assisted Ensemble for LLMs cites this paper.

RLAE: Reinforcement Learning-Assisted Ensemble for LLMs Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:18.059847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8364062-0c8d-40d9-9f6a-aeab4c572f56 · inbound

One for All: Update Parameterized Knowledge Across Multiple Models cites this paper.

One for All: Update Parameterized Knowledge Across Multiple Models Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:17.402063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f49c2d29-a062-4047-af6a-41442b8866ac · inbound

TokAlign: Efficient Vocabulary Adaptation via Token Alignment cites this paper.

TokAlign: Efficient Vocabulary Adaptation via Token Alignment Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:06:27.948757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79ee2ea0-b571-467a-9ea2-5b60b2f33b87 · inbound

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management cites this paper.

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:19.992856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bc128ca-0563-4845-b8d2-106bcf2a9c55 · inbound

Model Merging for Knowledge Editing cites this paper.

Model Merging for Knowledge Editing Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:56:49.829713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7e56115-5338-41f9-b348-96fb38c5d6a4 · inbound

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.671173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29ca24c1-7612-4688-bc65-4af530a53ced · inbound

Quality-of-Service Aware LLM Routing for Edge Computing with Multiple Experts cites this paper.

Quality-of-Service Aware LLM Routing for Edge Computing with Multiple Experts Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T10:22:42.532900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4927d21-b5df-4df4-9c6d-e848a907e21d · inbound

PSO-Merging: Merging Models Based on Particle Swarm Optimization cites this paper.

PSO-Merging: Merging Models Based on Particle Swarm Optimization Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T15:30:25.114507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4c207f5-1231-48d9-b732-53cb5a3fefef · inbound

Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification cites this paper.

Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.559475Z

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 d386e9b6-1735-4523-9e19-f15b780cd20d · inbound

Multi-LLM Token Filtering and Routing for Sequential Recommendation cites this paper.

Multi-LLM Token Filtering and Routing for Sequential Recommendation Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:11:06.672797Z

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 9d005a36-f0fe-495e-9cbf-ca578f98361f · inbound

Rethinking LLM Ensembling from the Perspective of Mixture Models cites this paper.

Rethinking LLM Ensembling from the Perspective of Mixture Models Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:26:06.315749Z

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 77536d34-9de9-466f-b893-03b2402c9c52 · inbound

Rethinking LLM Ensembling from the Perspective of Mixture Models cites this paper.

Rethinking LLM Ensembling from the Perspective of Mixture Models Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:15:32.173038Z

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 590113a1-acf3-43ba-b0a5-5bc0e83a2a99 · inbound

Split and Aggregation Learning for Foundation Models Over Mobile Embodied AI Network (MEAN): A Comprehensive Survey cites this paper.

Split and Aggregation Learning for Foundation Models Over Mobile Embodied AI Network (MEAN): A Comprehensive Survey Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:06:31.688375Z

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 4acef446-c128-4294-afa0-765e73a50951 · inbound

TPMM-DPO: Trajectory-aware Preference-guided Model Merging for Iterative Direct Preference Optimization cites this paper.

TPMM-DPO: Trajectory-aware Preference-guided Model Merging for Iterative Direct Preference Optimization Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:45:17.559541Z

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 471bd046-b348-46f5-891f-45601cc7422c · inbound

AI-Model Network: Concept, Current State and Future cites this paper.

AI-Model Network: Concept, Current State and Future Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:14:00.199967Z

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 924248ff-f735-4436-99cf-41cbfa55126f · inbound

Rethinking Heterogeneous LLM Merging: A Weighted Model Averaging Perspective cites this paper.

Rethinking Heterogeneous LLM Merging: A Weighted Model Averaging Perspective Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T16:24:19.641608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f4e1571-7c45-4938-975c-b37406cd49b7 · inbound

Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs cites this paper.

Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T06:05:56.733057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.