Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2209.07326.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T05:22:34.286412Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T23:07:26.702760Z
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 283f9de5-2b66-4a91-9cfc-55c7ce2da330 · inbound
Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective cites this paper.
Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:22:34.286412Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10f6fb59-535a-438c-9272-2baac4694326 · inbound
Visual RAG: Expanding MLLM visual knowledge without fine-tuning cites this paper.
Visual RAG: Expanding MLLM visual knowledge without fine-tuning A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:59:22.336308Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92799f97-a0c5-4cca-b921-2c4c7c9ec2b8 · inbound
Intelligent Character Recognition of Handwritten Forms with Deep Neural Networks cites this paper.
Intelligent Character Recognition of Handwritten Forms with Deep Neural Networks A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:07:26.704324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.