Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.00531.
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 2026-08-06T21:16:14.651510Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T11:25:23.771841Z
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 ad993da5-8d5e-40f6-a882-c03bf04be0cf · inbound
Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.
Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:16:14.651510Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bd50f4e-cde3-448f-b342-3d37da7a703c · inbound
Scaling behavior of large language models in emotional safety classification across sizes and tasks cites this paper.
Scaling behavior of large language models in emotional safety classification across sizes and tasks TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T11:25:23.775974Z
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.