Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Squid: Long Context as a New Modality for Energy-Efficient On-Device Language Models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.15518.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:56:25.202850Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T14:56:25.472353Z
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 1f0d4402-6331-47f9-94f2-7efc9df631d6 · inbound
OmniVLM: A Token-Compressed, Sub-Billion-Parameter Vision-Language Model for Efficient On-Device Inference cites this paper.
OmniVLM: A Token-Compressed, Sub-Billion-Parameter Vision-Language Model for Efficient On-Device Inference Squid: Long Context as a New Modality for Energy-Efficient On-Device Language Models
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T14:56:25.479973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ea30d657-4fb8-4e19-8228-4ce659a998fd · inbound
AutoNeural: Co-Designing Vision-Language Models for NPU Inference cites this paper.
AutoNeural: Co-Designing Vision-Language Models for NPU Inference Squid: Long Context as a New Modality for Energy-Efficient On-Device Language Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:56:58.816760Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.