Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.03777.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:51:53.709981Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T19:04:03.216545Z
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 f1df41f8-c269-4cab-a1f0-f3523f94bf02 · inbound
NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs cites this paper.
NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:51:53.709981Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab3db4d3-f5f5-4105-b8d8-80ef065d433c · inbound
Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge cites this paper.
Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:58:19.963404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75c7e673-1830-4b33-9051-fb7892383e4b · inbound
Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations cites this paper.
Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T19:04:03.221256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.