Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.01607.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:23:00.976245Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T09:31:25.644714Z
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 f134d536-67e9-4dff-b5dc-bd348c16a8eb · inbound
Reranking with Compressed Document Representation cites this paper.
Reranking with Compressed Document Representation Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:23:00.976245Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3184666b-5950-4af8-b2a6-7574bb7172f5 · inbound
Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation cites this paper.
Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:09:33.983507Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6954651-7d59-49df-9a64-0400f6dd7706 · inbound
Maintaining MTEB: Towards Long Term Usability and Reproducibility of Embedding Benchmarks cites this paper.
Maintaining MTEB: Towards Long Term Usability and Reproducibility of Embedding Benchmarks Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:35:11.703675Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 152ff6c6-5a0c-4431-8909-cac2dbc82cd9 · inbound
VN-MTEB: Vietnamese Massive Text Embedding Benchmark cites this paper.
VN-MTEB: Vietnamese Massive Text Embedding Benchmark Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:46:44.399168Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41d62a28-0d1b-482a-b8fa-6c44c291bbfc · inbound
Diverse And Private Synthetic Datasets Generation for RAG evaluation: A multi-agent framework cites this paper.
Diverse And Private Synthetic Datasets Generation for RAG evaluation: A multi-agent framework Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:57.711211Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbf1d05f-08da-474e-b482-a3d890cda26e · inbound
A Framework for Deductive Semantic Content Analysis at Scale in Science Education Using Text Embeddings cites this paper.
A Framework for Deductive Semantic Content Analysis at Scale in Science Education Using Text Embeddings Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:28:32.148905Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e89c5993-f727-45ae-852f-17896974be9a · inbound
Efficient Listwise Reranking with Compressed Document Representations cites this paper.
Efficient Listwise Reranking with Compressed Document Representations Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:31:25.646356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.