Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.13825.
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 2026-08-08T12:00:53.876890Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T12:35:33.019975Z
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 bfeddd8f-ac13-4703-84c2-681ee1c207d3 · inbound
AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up cites this paper.
AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models
Reference 57
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T12:35:33.068962Z
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.
Observation 472ec469-c7fd-4202-a7bc-bc20f2a3e66b · inbound
APQF: Agentic Profiling-Guided Structured Pruning and Mixed-Precision Quantization with Adaptive Fine-Tuning cites this paper.
APQF: Agentic Profiling-Guided Structured Pruning and Mixed-Precision Quantization with Adaptive Fine-Tuning Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T12:00:53.876890Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.