Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Saliency-based Convolutional Neural Network for Table and Chart Detection in Digitized Documents
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1804.06236.
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 2026-08-15T19:52:52.150558Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T13:09:15.882006Z
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 aa00a28e-9a4d-4566-9722-6d639ec6f24f · inbound
PubLayNet: largest dataset ever for document layout analysis cites this paper.
PubLayNet: largest dataset ever for document layout analysis A Saliency-based Convolutional Neural Network for Table and Chart Detection in Digitized Documents
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T13:09:15.889425Z
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 e054c4c5-5d09-4bf6-9432-bd317825f624 · inbound
Synthetic Data Augmentation for Table Detection: Re-evaluating TableNet's Performance with Automatically Generated Document Images cites this paper.
Synthetic Data Augmentation for Table Detection: Re-evaluating TableNet's Performance with Automatically Generated Document Images A Saliency-based Convolutional Neural Network for Table and Chart Detection in Digitized Documents
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:52:52.150558Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.