Paper Citation Record · LEDGER

Conan-embedding: General Text Embedding with More and Better Negative Samples

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2408.15710.

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

pith.paper-citation-record.v1
2408.15710 v2

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 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:13:24.643478Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-18T10:42:35.963054Z

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 adeb7edf-0188-490d-8f5b-dfa713839e86 · inbound

Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings cites this paper.

Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings Conan-embedding: General Text Embedding with More and Better Negative Samples

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:13:24.643478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5aaaebe-6c98-40f9-8944-e17aa8d1a220 · inbound

X-Intelligence 3.0: Training and Evaluating Reasoning LLM for Semiconductor Display cites this paper.

X-Intelligence 3.0: Training and Evaluating Reasoning LLM for Semiconductor Display Conan-embedding: General Text Embedding with More and Better Negative Samples

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T16:10:01.413411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cc158bc-2a9a-48fa-b797-c6f8ff80140f · inbound

QZhou-Embedding Technical Report cites this paper.

QZhou-Embedding Technical Report Conan-embedding: General Text Embedding with More and Better Negative Samples

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T14:11:06.975299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1786b86-f8c5-48ee-bd0e-13265042f210 · inbound

Boosting Data Utilization for Multilingual Dense Retrieval cites this paper.

Boosting Data Utilization for Multilingual Dense Retrieval Conan-embedding: General Text Embedding with More and Better Negative Samples

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T19:07:21.350179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 244244d6-f4ef-4e24-8f9f-a2f26545124e · inbound

Detecting LLM-Generated Spam Reviews by Integrating Language Model Embeddings and Graph Neural Network cites this paper.

Detecting LLM-Generated Spam Reviews by Integrating Language Model Embeddings and Graph Neural Network Conan-embedding: General Text Embedding with More and Better Negative Samples

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:42:35.966713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 548ba8da-058b-4afd-83a8-e97d1be0b766 · inbound

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation cites this paper.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Conan-embedding: General Text Embedding with More and Better Negative Samples

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.125746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4ec55fc0-e4b9-4de1-bf6f-cfd5f0ca2787 · inbound

Benchmarking and Enabling Efficient Chinese Medical Retrieval via Asymmetric Encoders cites this paper.

Benchmarking and Enabling Efficient Chinese Medical Retrieval via Asymmetric Encoders Conan-embedding: General Text Embedding with More and Better Negative Samples

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:26:00.989202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.