Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Distance-Based Regularisation of Deep Networks for Fine-Tuning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2002.08253.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T21:44:30.212587Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T08:06:29.149984Z
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 e875a368-ce54-4d47-b3b6-4ac64d256d0c · inbound
Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation cites this paper.
Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation Distance-Based Regularisation of Deep Networks for Fine-Tuning
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T21:44:30.212587Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be0a20f7-6c23-4b5e-9163-7a69bc48e666 · inbound
FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering cites this paper.
FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering Distance-Based Regularisation of Deep Networks for Fine-Tuning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:30:20.970889Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a47fba0-fd73-4235-adbf-72ad5481bc42 · inbound
Local LMO: Constrained Gradient Optimization via a Local Linear Minimization Oracle cites this paper.
Local LMO: Constrained Gradient Optimization via a Local Linear Minimization Oracle Distance-Based Regularisation of Deep Networks for Fine-Tuning
Reference 81
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:06:29.161973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.