Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T13:46:09.851496Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 100 inbound Pith citation observations for arXiv:2506.05176.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T13:46:09.851496Z
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 2026-08-06T19:36:05.775512Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
20 of 20 outbound references displayed
External citation measurements
5
pith, observed 2026-08-05T02:28:24.338817Z
Observation 911eaa69-17bd-402d-85fb-104031a76c76 · outbound
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models M3-embedding: Multi-linguality, multi-functionality, multi-granularity text embeddings through self-knowledge distillation
Reference 1
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Observation fa638467-4ea9-4fd2-873b-28c0481e9417 · outbound
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models URL https:// aclanthology.org/2024.findings-acl.137/
Reference 2
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Observation 6ab87079-812a-4fd4-96c1-6ba54f8b0da8 · outbound
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models Scaling Synthetic Data Creation with 1,000,000,000 Personas
Reference 3
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Observation b0048dbf-cde1-4c18-91c4-98e6e9956fbf · outbound
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models GPT-4o System Card
Reference 4
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Observation 0c0684c5-ae6a-4f51-8489-3db51a970ed6 · outbound
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Reference 5
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Observation 48db760c-22f8-43be-980d-4c3bf3214eeb · outbound
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models Gemini Embedding: Generalizable Embeddings from Gemini
Reference 6
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Observation a184e55a-12a1-4dd7-bfb1-3e1b96c7098a · outbound
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models Towards General Text Embeddings with Multi-stage Contrastive Learning
Reference 7
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Observation eb53dd75-bb5f-48d1-a7ff-de53cbd3e725 · outbound
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models MTEB: Massive text embed- ding benchmark
Reference 8
Source-reported events for the cited work
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Observation 89303208-7566-4eda-9b28-0726c0f9948a · outbound
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models URL https://aclanthology.org/2023.eacl-main.148/
Reference 9
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Observation 92bca5a5-4399-4f59-81c0-029119801f28 · outbound
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models Representation Learning with Contrastive Predictive Coding
Reference 10
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Observation e042d970-82b9-4bf1-9eb1-0d60a6df1f42 · outbound
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models
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Observation fb34f9f2-48f8-4c6c-a4e3-6d364bcbb38e · outbound
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models Sentence-BERT: Sentence embeddings using Siamese BERT- networks
Reference 12
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Observation 0efb414b-733c-45ff-98e8-30c9ff52f5f2 · outbound
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models URL https://aclanthology.org/D19-1410/
Reference 13
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Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models Text Embeddings by Weakly-Supervised Contrastive Pre-training
Reference 14
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Observation ca41afe4-0a34-433b-b6eb-1c56253b0417 · outbound
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
Reference 15
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Observation 85822b42-61fc-4f0c-9168-7861d1e330a1 · outbound
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models InProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval(Washington DC, USA)(SIGIR ’24)
Reference 16
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Observation 84ff8742-a165-4f14-9598-ab4422804bf9 · outbound
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models A two-stage adaptation of large language models for text ranking
Reference 17
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Observation 52ff855d-ae13-4242-9951-64fa497d8607 · outbound
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models arXiv preprint arXiv:2310.18608 , year=
Reference 18
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Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models Question Type
Reference 19
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Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models Unresolved cited work
Reference 20
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Observation b9dfe937-63d3-43dc-8bf0-716be5dc8e52 · inbound
Should We Still Pretrain Encoders with Masked Language Modeling? Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
Reference 47
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Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
Reference 20
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Observation 48d3e0af-90d3-4bd5-8e4f-4fcfc7c952d1 · inbound
Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
Reference 48
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Observation 85a4ef48-d11c-47c9-ac17-ddb353f18903 · inbound
Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
Reference 49
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Observation e4cc2e0d-72d5-4f4d-876d-a54ddbd8c0e9 · inbound
Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
Reference 3
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Observation eb1f6261-ee4a-47ef-8fe6-fff9eb1393b3 · inbound
Test-Time-Matching: Decouple Personality, Memory, and Linguistic Style in LLM-based Role-Playing Language Agent Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
Reference 46
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Observation 3d1b5a74-6c0e-4928-9a1c-4ca38cf4cb9d · inbound
Reliable Evaluation Protocol for Low-Precision Retrieval Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
Reference 12
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Reference 28
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Observation eb3d1fa1-0452-4abb-95bd-384d86ca77ee · inbound
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Reference 26
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Observation b6211e31-d65d-43cb-9012-194a26aba94a · inbound
From Ranking to Selection: A Simple but Efficient Dynamic Passage Selector for Retrieval Augmented Generation Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
Reference 42
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Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
Reference 35
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Observation f0daeea1-79bf-40f1-ac95-85ea06d2e06f · inbound
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Reference 34
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Observation efd6f930-154d-40e9-a10c-1feb1396c114 · inbound
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Reference 2025
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Observation b39128e8-e24b-48fd-aefa-6f88aa1ecb41 · inbound
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Observation 45ab6e7a-fd6e-4f4c-86df-0d146b426b67 · inbound
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Reference 34
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Reference 32
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Reference 35
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Reference 38
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Reference 40
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Reference 41
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Reference 72
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Reference 53
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Reference 45
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Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
Reference 44
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Reference 37
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Reference 36
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Reference 57
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Reference 35
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Reference 64
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Reference 37
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Reference 42
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Reference 42
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Reference 118
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Reference 76
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Reference 65
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Reference 81
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Reference 52
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