Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Do Generated Data Always Help Contrastive Learning?
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.12448.
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 2026-08-15T15:55:55.319386Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T22:57:26.185636Z
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 5d446015-9035-4e86-9a10-2383cc8ab47d · inbound
Multi-View Incongruity Learning for Multimodal Sarcasm Detection cites this paper.
Multi-View Incongruity Learning for Multimodal Sarcasm Detection Do Generated Data Always Help Contrastive Learning?
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:06:45.308410Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67264517-0892-43fb-9797-37244da24991 · inbound
Generation Properties of Stochastic Interpolation under Finite Training Set cites this paper.
Generation Properties of Stochastic Interpolation under Finite Training Set Do Generated Data Always Help Contrastive Learning?
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:55:55.319386Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1f8b234-50ae-4a35-a057-d5b760ef3c42 · inbound
SimReg: Achieving Higher Performance in the Pretraining via Embedding Similarity Regularization cites this paper.
SimReg: Achieving Higher Performance in the Pretraining via Embedding Similarity Regularization Do Generated Data Always Help Contrastive Learning?
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:16:28.838582Z
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 d8ca53ac-85a2-444c-bfa2-b31697b64a25 · inbound
A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models cites this paper.
A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Do Generated Data Always Help Contrastive Learning?
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:57:26.187029Z
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 40335866-76d5-4e75-a5ad-f1c1cf3dd289 · inbound
Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting cites this paper.
Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Do Generated Data Always Help Contrastive Learning?
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T08:12:18.373103Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.