Paper Citation Record · LEDGER

Fusing Models with Complementary Expertise

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2310.01542.

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

pith.paper-citation-record.v1
2310.01542 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:03:44.369090Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:11.042959Z

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 fd900fb1-7cee-4a87-8d6a-dd8e449a8a67 · inbound

A Survey on Inference Optimization Techniques for Mixture of Experts Models cites this paper.

A Survey on Inference Optimization Techniques for Mixture of Experts Models Fusing Models with Complementary Expertise

Reference 186

Resolution: unresolved; no resolver link, observed 2026-08-11T12:44:36.061599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0747d94e-aab5-475b-b68e-592ed4edb145 · inbound

LLM Bandit: Cost-Efficient LLM Generation via Preference-Conditioned Dynamic Routing cites this paper.

LLM Bandit: Cost-Efficient LLM Generation via Preference-Conditioned Dynamic Routing Fusing Models with Complementary Expertise

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-09T11:22:28.979953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea1d197b-e5c8-45fe-bba5-ca00fb42eeaa · 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 Fusing Models with Complementary Expertise

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T13:08:23.069527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40e10578-8a23-49d9-b8a1-79251b34e779 · inbound

Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding cites this paper.

Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding Fusing Models with Complementary Expertise

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T11:11:44.641988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1c964ca-3c6a-4bb3-b613-70efcfd904ed · inbound

DNB-AI-Project at SemEval-2025 Task 5: An LLM-Ensemble Approach for Automated Subject Indexing cites this paper.

DNB-AI-Project at SemEval-2025 Task 5: An LLM-Ensemble Approach for Automated Subject Indexing Fusing Models with Complementary Expertise

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T05:03:44.369090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 169c6fe9-83d8-4e38-955c-730ae92036cf · inbound

Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers cites this paper.

Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers Fusing Models with Complementary Expertise

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:14:57.409555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6e111868-9f4f-468c-bda8-3467697e0de3 · inbound

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead cites this paper.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Fusing Models with Complementary Expertise

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:11:17.491867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b273336-b154-4158-beb0-5e54dfe11d01 · inbound

Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation cites this paper.

Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation Fusing Models with Complementary Expertise

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:03.549476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aadc9385-a682-4d8a-908e-5603d387cd2d · inbound

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

One for All: Update Parameterized Knowledge Across Multiple Models Fusing Models with Complementary Expertise

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:17.781944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63d982d0-6173-438a-9dcd-34f66540ff13 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models Fusing Models with Complementary Expertise

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:09:36.984220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3d47765f-738e-477a-bdc4-20b7e223ca64 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models Fusing Models with Complementary Expertise

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T10:48:59.644900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46d3026e-0f29-4a07-afb6-6ed9d3837fab · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation Fusing Models with Complementary Expertise

Reference 81

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:50:11.044489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 292161d8-fd66-4415-97dd-1c53f3e728b3 · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation Fusing Models with Complementary Expertise

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-02T10:16:45.050480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a439d3a6-3d58-4762-8038-072d9b70ac63 · inbound

SWE-Router: Routing in Multi-turn Agentic Software Engineering Tasks cites this paper.

SWE-Router: Routing in Multi-turn Agentic Software Engineering Tasks Fusing Models with Complementary Expertise

Reference 74

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T18:37:16.450479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 34bd41dd-35cc-468e-ba5c-b53bc87333b2 · inbound

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes cites this paper.

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes Fusing Models with Complementary Expertise

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-04T07:49:39.978523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.