Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Survey on Recognizing Textual Entailment as an NLP Evaluation
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2010.03061.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:46:46.286331Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T05:29:48.109751Z
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 94ef6fc4-0456-401c-9bdf-f5f9cfb09e03 · inbound
TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks cites this paper.
TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks A Survey on Recognizing Textual Entailment as an NLP Evaluation
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:46:46.286331Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc2122f7-fcb8-4a94-acc1-fcdd4518d1d6 · inbound
ADMM-Q: An Improved Hessian-based Weight Quantizer for Post-Training Quantization of Large Language Models cites this paper.
ADMM-Q: An Improved Hessian-based Weight Quantizer for Post-Training Quantization of Large Language Models A Survey on Recognizing Textual Entailment as an NLP Evaluation
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T02:37:07.845212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0ad709ab-99fd-4d07-936d-4ace61e49fdd · inbound
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts cites this paper.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts A Survey on Recognizing Textual Entailment as an NLP Evaluation
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:48.112481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.