Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Identifying beneficial task relations for multi-task learning in deep neural networks
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1702.08303.
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 2026-08-11T14:58:45.768471Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T11:32:18.369166Z
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 9ca461c5-a0da-4f2e-a1b0-a67eb2d7528d · inbound
Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models cites this paper.
Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models Identifying beneficial task relations for multi-task learning in deep neural networks
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:58:45.768471Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6433d950-8cef-4b59-9237-4728e1b49ee0 · inbound
MINT: Multimodal Instruction Tuning with Multimodal Interaction Grouping cites this paper.
MINT: Multimodal Instruction Tuning with Multimodal Interaction Grouping Identifying beneficial task relations for multi-task learning in deep neural networks
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:32:18.420739Z
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.
Observation d46388ac-4bbd-4168-a765-75b0f1f9a8ad · inbound
Collaborative and Efficient Fine-tuning: Leveraging Task Similarity cites this paper.
Collaborative and Efficient Fine-tuning: Leveraging Task Similarity Identifying beneficial task relations for multi-task learning in deep neural networks
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:49:40.359841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.