Paper Citation Record · LEDGER

Embedding And Clustering Your Data Can Improve Contrastive Pretraining

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2407.18887.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2407.18887 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:51:30.208568Z

measured 0 of 1 external citation measurements

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 1223064d-ab71-4d52-bab6-456495eccd2c · inbound

Improved Large Language Model Jailbreak Detection via Pretrained Embeddings cites this paper.

Improved Large Language Model Jailbreak Detection via Pretrained Embeddings Embedding And Clustering Your Data Can Improve Contrastive Pretraining

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T04:21:32.502801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 4ddebcb2-870a-416c-b546-27f076296e76 · inbound

EnronQA: Towards Personalized RAG over Private Documents cites this paper.

EnronQA: Towards Personalized RAG over Private Documents Embedding And Clustering Your Data Can Improve Contrastive Pretraining

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T04:51:30.208568Z

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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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.