Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Beware of Calibration Data for Pruning Large Language Models
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.17711.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:52:43.503944Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T23:50:31.870783Z
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 7eaaa16e-2c94-44f2-8059-7dbb7782ec26 · inbound
Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs cites this paper.
Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs Beware of Calibration Data for Pruning Large Language Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:52:43.503944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0f8cf12-d4a8-4a7b-ade6-60012bbaa492 · inbound
LUQ: Layerwise Ultra-Low Bit Quantization for Multimodal Large Language Models cites this paper.
LUQ: Layerwise Ultra-Low Bit Quantization for Multimodal Large Language Models Beware of Calibration Data for Pruning Large Language Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T14:45:26.011445Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5047fceb-ed5a-466d-91d1-857a6fcffbc1 · inbound
A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher? cites this paper.
A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher? Beware of Calibration Data for Pruning Large Language Models
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T23:50:31.873482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.