Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1411.4389.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T15:08:34.559597Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-01T22:36:18.028797Z
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 38a27fdf-cc51-4e93-aeca-4126a352feab · inbound
Microsoft COCO Captions: Data Collection and Evaluation Server cites this paper.
Microsoft COCO Captions: Data Collection and Evaluation Server Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T21:38:19.586510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 75c19dd1-8ae4-4643-b674-8d4d1f3a55c5 · inbound
Image-to-Text for Medical Reports Using Adaptive Co-Attention and Triple-LSTM Module cites this paper.
Image-to-Text for Medical Reports Using Adaptive Co-Attention and Triple-LSTM Module Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T23:35:13.495165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2e7bfcf1-2f3b-4116-9c3d-e03b49438946 · inbound
Detecting Pen-In-Air States from Video: A Proof-of-Concept Toward Complementary Handwriting Analysis cites this paper.
Detecting Pen-In-Air States from Video: A Proof-of-Concept Toward Complementary Handwriting Analysis Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T22:36:18.030005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.