Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
As of 2 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.01053.
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 2026-08-01T06:32:01.292127+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-10T19:12:07.548447Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T23:20:53.357038Z
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 79b1fe6b-e1a1-4b4e-9c51-592390749ff1 · inbound
Hidden in the Multiplicative Interaction: Uncovering Fragility in Multimodal Contrastive Learning cites this paper.
Hidden in the Multiplicative Interaction: Uncovering Fragility in Multimodal Contrastive Learning Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:20:53.360191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation f8791a62-fdcd-4879-95b7-ae3c25ce1935 · inbound
How Much Data is Enough? The Zeta Law of Discoverability in Biomedical Data, featuring the enigmatic Riemann zeta function cites this paper.
How Much Data is Enough? The Zeta Law of Discoverability in Biomedical Data, featuring the enigmatic Riemann zeta function Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:31:30.485747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.