Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
InfoNCE Loss Provably Learns Cluster-Preserving Representations
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.07920.
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 2026-08-04T20:20:32.034195Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 4e5b9c70-ada8-4e25-9c40-a95c80c9b626 · inbound
BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion cites this paper.
BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion InfoNCE Loss Provably Learns Cluster-Preserving Representations
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:20:32.034195Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1081c2de-24f1-4952-aa26-a10078ef1063 · inbound
Optimal Representations for Generalized Contrastive Learning with Imbalanced Datasets cites this paper.
Optimal Representations for Generalized Contrastive Learning with Imbalanced Datasets InfoNCE Loss Provably Learns Cluster-Preserving Representations
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T02:32:06.141755Z
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.
Observation 1072d125-a2db-42ff-9788-d340dfc4d6b5 · inbound
Radial Basis Function Networks as Projection Heads in Self-Supervised Learning cites this paper.
Radial Basis Function Networks as Projection Heads in Self-Supervised Learning InfoNCE Loss Provably Learns Cluster-Preserving Representations
Reference 38
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-26T14:59:31.927733Z
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.