Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On-Device Qwen2.5: Efficient LLM Inference with Model Compression and Hardware Acceleration
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.17376.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:34.793339Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T10:19:59.801796Z
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 74ae2aea-c188-4db3-8f8c-e0aa6aeca16a · inbound
Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance cites this paper.
Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance On-Device Qwen2.5: Efficient LLM Inference with Model Compression and Hardware Acceleration
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:19:34.793339Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac2182a6-f225-4de6-ac58-b77e2f50b9a7 · inbound
Military AI Cyber Agents (MAICAs) Constitute a Global Threat to Critical Infrastructure cites this paper.
Military AI Cyber Agents (MAICAs) Constitute a Global Threat to Critical Infrastructure On-Device Qwen2.5: Efficient LLM Inference with Model Compression and Hardware Acceleration
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:27:40.326761Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0d4e713-8796-4367-b8b0-ce209f4ff207 · inbound
Standardization of Neuromuscular Reflex Analysis -- Role of Fine-Tuned Vision-Language Model Consortium and OpenAI gpt-oss Reasoning LLM Enabled Decision Support System cites this paper.
Standardization of Neuromuscular Reflex Analysis -- Role of Fine-Tuned Vision-Language Model Consortium and OpenAI gpt-oss Reasoning LLM Enabled Decision Support System On-Device Qwen2.5: Efficient LLM Inference with Model Compression and Hardware Acceleration
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T19:30:24.782948Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f37627fc-5c4a-4578-85be-7c0c441e8b0e · inbound
Train the Trainers -- An Agentic AI Framework for Peer-Based Mental Health Support in Battlefield Environments cites this paper.
Train the Trainers -- An Agentic AI Framework for Peer-Based Mental Health Support in Battlefield Environments On-Device Qwen2.5: Efficient LLM Inference with Model Compression and Hardware Acceleration
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T10:19:59.804670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.