Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Survey on Collaborative Mechanisms Between Large and Small Language Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2505.07460.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T19:10:53.424952Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T11:24:54.922941Z
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 79361a9e-9e9d-434f-988b-aea3452101db · inbound
Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems cites this paper.
Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems A Survey on Collaborative Mechanisms Between Large and Small Language Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:10:53.424952Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3463785f-2b05-4878-9a37-5f2c01198702 · inbound
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble cites this paper.
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble A Survey on Collaborative Mechanisms Between Large and Small Language Models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T02:25:19.541878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6039e81e-d05b-4f0a-ae3f-a52ab2991376 · inbound
Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques cites this paper.
Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques A Survey on Collaborative Mechanisms Between Large and Small Language Models
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:56:56.786194Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45068f58-0d03-4f48-b5f8-887ecf69a129 · inbound
A Survey of Context Engineering for Large Language Models cites this paper.
A Survey of Context Engineering for Large Language Models A Survey on Collaborative Mechanisms Between Large and Small Language Models
Reference 158
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:58:45.416756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 48da5a5c-9bde-42d7-9ee8-d7ae89b7ccfc · inbound
Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges cites this paper.
Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges A Survey on Collaborative Mechanisms Between Large and Small Language Models
Reference 162
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:06:48.452055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe60d740-4da1-4845-8617-2ebf983a3814 · inbound
RailVQA: A Benchmark and Framework for Efficient Interpretable Visual Cognition in Automatic Train Operation cites this paper.
RailVQA: A Benchmark and Framework for Efficient Interpretable Visual Cognition in Automatic Train Operation A Survey on Collaborative Mechanisms Between Large and Small Language Models
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:28:04.792232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cd1fa307-dbf8-4afe-abed-ac25177e8e66 · inbound
Triage: Routing Software Engineering Tasks to Cost-Effective LLM Tiers via Code Quality Signals cites this paper.
Triage: Routing Software Engineering Tasks to Cost-Effective LLM Tiers via Code Quality Signals A Survey on Collaborative Mechanisms Between Large and Small Language Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:15:59.494859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 870177b4-0b47-48b1-b2c5-b1f3e384d12b · inbound
Quantifying Prior Dominance in RAG Systems cites this paper.
Quantifying Prior Dominance in RAG Systems A Survey on Collaborative Mechanisms Between Large and Small Language Models
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T08:35:33.365718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b9b93556-1fd7-4246-905e-514f038f7c35 · inbound
Quality-Aware Personalized AI Service Provisioning in UAV-Assisted 6G Networks cites this paper.
Quality-Aware Personalized AI Service Provisioning in UAV-Assisted 6G Networks A Survey on Collaborative Mechanisms Between Large and Small Language Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T11:24:54.925440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.