Paper Citation Record · LEDGER

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2507.16731.

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

pith.paper-citation-record.v1
2507.16731 v1

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 2026-08-04T06:34:03.388597+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:42:15.915097Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T21:53:59.101198Z

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 3aa744cd-79f9-4374-958a-0e7c05cdaa3a · 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 Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:28:04.749869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 890f9d7c-1e51-4e65-9172-0f07ffb30613 · inbound

Administrative Decentralization in Edge-Cloud Multi-Agent for Mobile Automation cites this paper.

Administrative Decentralization in Edge-Cloud Multi-Agent for Mobile Automation Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:46:12.943447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 136e5946-975c-43d6-948e-22a5ef67db2d · inbound

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda cites this paper.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.807812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1876146e-6691-4946-a788-3bddb672a665 · inbound

PrivScope: Task-scoped Disclosure Control for Hybrid Agentic Systems cites this paper.

PrivScope: Task-scoped Disclosure Control for Hybrid Agentic Systems Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-20T16:18:37.500048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9902e717-f356-43b6-b8a9-69fa45a02cea · inbound

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG cites this paper.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:53:59.102659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a7e64c04-0db6-4448-8b9c-9944903863d4 · inbound

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models cites this paper.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T06:42:15.915097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a404b17-ab33-40ef-b445-4eff6cb665a6 · inbound

PyroDash: Cost-Efficient Token-Level Small-Large Language Model Collaborative Inference cites this paper.

PyroDash: Cost-Efficient Token-Level Small-Large Language Model Collaborative Inference Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-01T10:14:14.063270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.