Paper Citation Record · LEDGER

Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2405.05374.

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

pith.paper-citation-record.v1
2405.05374 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:31:44.221944Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:38:05.023995Z

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 85fbbfcf-ab08-43ce-aace-f9f451402e1e · inbound

The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale cites this paper.

The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-13T04:36:45.542534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 41d748d3-d66f-40b7-bed7-8a16fdfc5287 · inbound

Initial Nugget Evaluation Results for the TREC 2024 RAG Track with the AutoNuggetizer Framework cites this paper.

Initial Nugget Evaluation Results for the TREC 2024 RAG Track with the AutoNuggetizer Framework Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T20:31:44.221944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2eed6768-982d-40b5-843f-a80bc093daf1 · inbound

CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking cites this paper.

CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T04:49:20.659238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c892942-1d3b-4bfe-8fc7-bdb759a10c73 · inbound

Arctic-Embed 2.0: Multilingual Retrieval Without Compromise cites this paper.

Arctic-Embed 2.0: Multilingual Retrieval Without Compromise Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T23:04:04.196822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d240d791-9f37-46d5-bdbf-c7592c7c1d32 · inbound

Beyond Factual Accuracy: Evaluating Coverage of Diverse Factual Information in Long-form Text Generation cites this paper.

Beyond Factual Accuracy: Evaluating Coverage of Diverse Factual Information in Long-form Text Generation Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:43.969420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef32c99f-837a-4a31-b1ba-0726eeed4a31 · inbound

Training Sparse Mixture Of Experts Text Embedding Models cites this paper.

Training Sparse Mixture Of Experts Text Embedding Models Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T11:20:23.659224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1757fed4-5944-4082-88eb-fdb21d9f29ed · inbound

Agentic Verification for Ambiguous Query Disambiguation cites this paper.

Agentic Verification for Ambiguous Query Disambiguation Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T18:32:13.999106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 197d4932-116e-4cd9-ad58-bcfe1b1f7253 · inbound

Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data cites this paper.

Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:40.452865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbe7c7be-26ce-4066-830b-49b528c35c4b · inbound

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos cites this paper.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:08.561628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 654212c9-bed7-43c0-900a-fd55476b6aac · inbound

FlexOlmo: Open Language Models for Flexible Data Use cites this paper.

FlexOlmo: Open Language Models for Flexible Data Use Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 112

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:16.337903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6422f96-9a76-42c9-a333-412515d44f18 · inbound

Exploiting Leaderboards for Large-Scale Distribution of Malicious Models cites this paper.

Exploiting Leaderboards for Large-Scale Distribution of Malicious Models Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T18:16:12.707493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25ab451c-48e0-473d-b052-c177c268a35e · inbound

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI cites this paper.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:49.956821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84bbaabe-9546-4bca-8463-bf6be57a6fd4 · inbound

DeRAG: Black-box Adversarial Attacks on Multiple Retrieval-Augmented Generation Applications via Prompt Injection cites this paper.

DeRAG: Black-box Adversarial Attacks on Multiple Retrieval-Augmented Generation Applications via Prompt Injection Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:00.035067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e849a026-4515-4d73-88bb-bd7e19e01fd5 · inbound

Boosting Data Utilization for Multilingual Dense Retrieval cites this paper.

Boosting Data Utilization for Multilingual Dense Retrieval Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T19:07:21.369020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 409ce440-25a0-489c-9e64-73c720b8a0c8 · inbound

LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations cites this paper.

LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:16:40.196782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c67621af-dfe5-45fb-938b-2407d5a6dbaf · inbound

Removing Noise, not Finding Gold: Quality Filtering for Large-Scale Pretraining cites this paper.

Removing Noise, not Finding Gold: Quality Filtering for Large-Scale Pretraining Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T13:24:15.511639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ad4defc-bd6f-4909-bd0d-ebc5976ed605 · inbound

SkillRet: A Large-Scale Benchmark for Skill Retrieval in LLM Agents cites this paper.

SkillRet: A Large-Scale Benchmark for Skill Retrieval in LLM Agents Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:36:07.996356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e1be5f40-285a-49f0-a543-b24baa22ae19 · inbound

Layer-wise Representation Dynamics: An Empirical Investigation Across Embedders and Base LLMs cites this paper.

Layer-wise Representation Dynamics: An Empirical Investigation Across Embedders and Base LLMs Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:58:04.037404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 91e8a115-983a-41f9-b7c3-f50527c01b90 · inbound

MimirRAG: A Multi-Agent RAG Framework for Financial Data Retrieval with Metadata Integration cites this paper.

MimirRAG: A Multi-Agent RAG Framework for Financial Data Retrieval with Metadata Integration Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:34:38.808985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 770392d8-81e8-4883-b9dc-6010e2ab6ada · inbound

On the Robustness of Multilingual Text Embedding Rankings Across Learning Tasks, Languages, and Benchmark Datasets cites this paper.

On the Robustness of Multilingual Text Embedding Rankings Across Learning Tasks, Languages, and Benchmark Datasets Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:26:00.244397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b5e59e42-1491-4e95-bf85-877208550d44 · inbound

Measuring Semantic Progress in Multi-turn Dialogue via Information Gain cites this paper.

Measuring Semantic Progress in Multi-turn Dialogue via Information Gain Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:38:05.025609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8306f99a-2e4a-47ba-9cec-5bca3c7661f1 · inbound

Finding the Right Tables and Columns: A Benchmark and Corpus-Adaptive Embeddings for SQL Schema Retrieval cites this paper.

Finding the Right Tables and Columns: A Benchmark and Corpus-Adaptive Embeddings for SQL Schema Retrieval Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T05:38:04.815422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc4fddef-3fe8-4548-a187-72516c96b027 · inbound

DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search cites this paper.

DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 126

Resolution: unresolved; no resolver link, observed 2026-07-30T11:17:16.864177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91a371ec-e787-4899-bfce-857d69bec5ba · inbound

DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search cites this paper.

DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 144

Resolution: unresolved; no resolver link, observed 2026-08-03T01:43:17.325549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.