Paper Citation Record · LEDGER

NV-Retriever: Improving text embedding models with effective hard-negative mining

As of 29 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2407.15831.

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

pith.paper-citation-record.v1
2407.15831 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-29T08:13:00.99439+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T18:45:34.929157Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 81a80292-58e2-41d4-a1eb-661b21b93488 · inbound

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models cites this paper.

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:15:16.272036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

Observation 836ffbc9-c16d-4d12-9079-5be9be52b12a · inbound

Improving Korean-English Cross-Lingual Retrieval: A Data-Centric Study of Language Composition and Model Merging cites this paper.

Improving Korean-English Cross-Lingual Retrieval: A Data-Centric Study of Language Composition and Model Merging NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:40:50.988161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

Observation 0566f061-6446-4f5f-b2fe-f0a90e6c6e94 · inbound

SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension cites this paper.

SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-19T00:46:56.292651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

Observation 07d77da2-bc7f-4bbb-bebb-40536718098c · inbound

EmbeddingGemma: Powerful and Lightweight Text Representations cites this paper.

EmbeddingGemma: Powerful and Lightweight Text Representations NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:07:20.981272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

Observation 18b65a53-5e44-4c41-9285-2a563018490c · inbound

PRAGMA: Revolut Foundation Model cites this paper.

PRAGMA: Revolut Foundation Model NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:30:59.057731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

Observation 78e4f2f7-164c-4698-9a96-cd31b573a0a5 · inbound

PRAGMA: Revolut Foundation Model cites this paper.

PRAGMA: Revolut Foundation Model NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T17:40:40.602308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

Observation 022da305-5637-4aaf-b3e6-09cd0080a01b · inbound

ARHN: Answer-Centric Relabeling of Hard Negatives with Open-Source LLMs for Dense Retrieval cites this paper.

ARHN: Answer-Centric Relabeling of Hard Negatives with Open-Source LLMs for Dense Retrieval NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:11:12.415411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

Observation 1e2f48b2-0454-4e23-9fd3-7b1cb4b0cf83 · inbound

vstash: Local-First Hybrid Retrieval with Adaptive Fusion for LLM Agents cites this paper.

vstash: Local-First Hybrid Retrieval with Adaptive Fusion for LLM Agents NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:48:47.573769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

Observation e75e522d-30c3-4c02-8daf-7495de4a1533 · inbound

On the Robustness of LLM-Based Dense Retrievers: A Systematic Analysis of Generalizability and Stability cites this paper.

On the Robustness of LLM-Based Dense Retrievers: A Systematic Analysis of Generalizability and Stability NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:18:32.448339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

Observation 6a340bdf-cf52-4796-b609-e816fcec53c1 · inbound

Negative Data Mining for Contrastive Learning in Dense Retrieval at IKEA.com cites this paper.

Negative Data Mining for Contrastive Learning in Dense Retrieval at IKEA.com NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:46:37.708360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

Observation 63e89219-9978-4755-a8b5-31d151538a6e · inbound

MLAIRE: Multilingual Language-Aware Information Retrieval Evaluation Protocal cites this paper.

MLAIRE: Multilingual Language-Aware Information Retrieval Evaluation Protocal NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:15:56.391131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

Observation bb4b2c6a-3a05-4e48-a1c5-504ff4dcc0ee · inbound

MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation cites this paper.

MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-06-28T20:42:37.979181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

Observation ec613387-82c1-4370-ad3c-eba66e6a79bd · inbound

Argus-Retriever: Vision-LLM Late-Interaction Retrieval with Region-Aware Query-Conditioned MoE for Visual Document Retrieval cites this paper.

Argus-Retriever: Vision-LLM Late-Interaction Retrieval with Region-Aware Query-Conditioned MoE for Visual Document Retrieval NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T10:46:52.616225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

Observation ab4db2e6-78f7-4e68-a1a7-d043af9a2a49 · inbound

CATCH-ME if you RAG: a dataset of Contextually Annotated multi-Turn Counterspeech against Hate and Misinformation Exchanges cites this paper.

CATCH-ME if you RAG: a dataset of Contextually Annotated multi-Turn Counterspeech against Hate and Misinformation Exchanges NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T03:59:32.645781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

Observation 6b9bdfa6-9a43-4fee-a453-a0e99124cfda · inbound

Learn to Pool: Lightweight Fine-Tuning for Flexible Multi-Vector Compression cites this paper.

Learn to Pool: Lightweight Fine-Tuning for Flexible Multi-Vector Compression NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-08T18:55:28.224229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.