Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Embedding And Clustering Your Data Can Improve Contrastive Pretraining
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.18887.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T17:06:45.938788Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T06:15:23.709189Z
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 5cef859c-6470-4269-aa9b-b7af52ea4ed5 · inbound
FactIR: A Real-World Zero-shot Open-Domain Retrieval Benchmark for Fact-Checking cites this paper.
FactIR: A Real-World Zero-shot Open-Domain Retrieval Benchmark for Fact-Checking Embedding And Clustering Your Data Can Improve Contrastive Pretraining
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:06:45.938788Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0345c40a-7060-4933-9a34-2ea699ad7301 · inbound
BBC: Improving Large-k Approximate Nearest Neighbor Search with a Bucket-based Result Collector cites this paper.
BBC: Improving Large-k Approximate Nearest Neighbor Search with a Bucket-based Result Collector Embedding And Clustering Your Data Can Improve Contrastive Pretraining
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:48:15.203753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 76eefa24-0876-475e-82a3-7f742133d49b · inbound
BBC: Improving Large-k Approximate Nearest Neighbor Search with a Bucket-based Result Collector cites this paper.
BBC: Improving Large-k Approximate Nearest Neighbor Search with a Bucket-based Result Collector Embedding And Clustering Your Data Can Improve Contrastive Pretraining
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T14:06:32.542639Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3233f94-9e4e-4cff-9bfa-4292fdb3673b · inbound
Is a Document Educational or Just Wikipedia-Style? -- Pitfalls of Classifier-Based Quality Filtering cites this paper.
Is a Document Educational or Just Wikipedia-Style? -- Pitfalls of Classifier-Based Quality Filtering Embedding And Clustering Your Data Can Improve Contrastive Pretraining
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T06:15:23.711282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9bdda9c0-075b-4a34-9df4-f87ba0108bcd · inbound
LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention cites this paper.
LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention Embedding And Clustering Your Data Can Improve Contrastive Pretraining
Reference 2016
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T07:07:39.617592Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.