Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evaluating the Impact of Compression Techniques on Task-Specific Performance of Large Language Models
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.11233.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T05:01:16.295746Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:19:31.593576Z
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 8e484b19-b782-444d-af69-90807bee2b56 · inbound
Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs cites this paper.
Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Evaluating the Impact of Compression Techniques on Task-Specific Performance of Large Language Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:01:16.295746Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69ec9dbb-b87d-4ee4-82dd-7703b8b8de26 · inbound
Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs cites this paper.
Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs Evaluating the Impact of Compression Techniques on Task-Specific Performance of Large Language Models
Reference 184
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T03:19:31.595077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.