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Paper Citation Record · LEDGER

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

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.

pith.paper-citation-record.v1
2506.05176 v3

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:46:09.851496Z

measured 120 of 120 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 100 of 519 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:36:05.775512Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

20 of 20 outbound references displayed

  • verified exact4
  • verified fuzzy7
  • unresolved1
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch6

External citation measurements

5
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 911eaa69-17bd-402d-85fb-104031a76c76 · outbound

This paper cites M3-embedding: Multi-linguality, multi-functionality, multi-granularity text embeddings through self-knowledge distillation.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T13:46:09.918431Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:79e2ec9f30ae4fff467cef9312f20227cba6f34bdbb9e5750175083a0c1a000f

Observation fa638467-4ea9-4fd2-873b-28c0481e9417 · outbound

This paper cites URL https:// aclanthology.org/2024.findings-acl.137/.

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models URL https:// aclanthology.org/2024.findings-acl.137/

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T13:46:09.905212Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:8f4807c934c1ad8421c06c566dda7fde4a5e0d24e2a0cd9fb3fc28baf9510407

Observation 6ab87079-812a-4fd4-96c1-6ba54f8b0da8 · outbound

This paper cites Scaling Synthetic Data Creation with 1,000,000,000 Personas.

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T00:03:55.809567Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:c5ce02a055205cf5a50e8b5bbab943c2287bf4155dadc188c36cf666b5281736

Observation b0048dbf-cde1-4c18-91c4-98e6e9956fbf · outbound

This paper cites GPT-4o System Card.

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models GPT-4o System Card

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-10T13:46:09.894995Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:893b5ce12725b54b8e90b87fc913aba7338b9b93c5598227c20aa70bc748fd3d

Observation 0c0684c5-ae6a-4f51-8489-3db51a970ed6 · outbound

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

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:15:16.557007Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:e3efe33afc187af30f09546dfa04610021cdb4ccc8c3e83e19172ba2ae33dcbf

Observation 48db760c-22f8-43be-980d-4c3bf3214eeb · outbound

This paper cites Gemini Embedding: Generalizable Embeddings from Gemini.

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models Gemini Embedding: Generalizable Embeddings from Gemini

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T07:26:53.508098Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:e4f606a6b61088e2ae4d2fb9173dc1a4f97e3ce7be752b3e53d3c4c0d17f03ee

Observation a184e55a-12a1-4dd7-bfb1-3e1b96c7098a · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

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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metadata mismatch
arxiv_id, observed 2026-05-12T03:33:46.146760Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:79f3d33868dbba39bed3f6c974a8ca6126c2661efd4449360d118df3dd21f577

Observation eb53dd75-bb5f-48d1-a7ff-de53cbd3e725 · outbound

This paper cites MTEB: Massive text embed- ding benchmark.

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models MTEB: Massive text embed- ding benchmark

Reference 8

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verified fuzzy
raw_fallback, observed 2026-05-10T13:46:09.907194Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:723a2c66738c9cc4873f2ae9c6ecfec3b80be4bd4d5c0dc8e6095a2b9a2bd22a

Observation 89303208-7566-4eda-9b28-0726c0f9948a · outbound

This paper cites URL https://aclanthology.org/2023.eacl-main.148/.

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models URL https://aclanthology.org/2023.eacl-main.148/

Reference 9

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verified fuzzy
raw_fallback, observed 2026-05-10T13:46:09.909135Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:9ed32b6e4203d197ae50b1c9b8c84794b91eb7b5c8333f34658a94d696bf51af

Observation 92bca5a5-4399-4f59-81c0-029119801f28 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models Representation Learning with Contrastive Predictive Coding

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-05-10T13:46:09.898008Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:d289bf0409c4e4a17524d1e2db24d77e34a0f5cb111aa9108910c6f2ef9f87e1

Observation e042d970-82b9-4bf1-9eb1-0d60a6df1f42 · outbound

This paper cites RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models.

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:46:09.901108Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:5ddb4c307afa7bd50aaaefe990af00b980adabdd076136302637348981bb4448

Observation fb34f9f2-48f8-4c6c-a4e3-6d364bcbb38e · outbound

This paper cites Sentence-BERT: Sentence embeddings using Siamese BERT- networks.

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models Sentence-BERT: Sentence embeddings using Siamese BERT- networks

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T13:46:09.911035Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:e3bd2953af2108e6faefcc60bbae6186385d9a3eb00d837e2c4f1693e780694b

Observation 0efb414b-733c-45ff-98e8-30c9ff52f5f2 · outbound

This paper cites URL https://aclanthology.org/D19-1410/.

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models URL https://aclanthology.org/D19-1410/

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T13:46:09.912806Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:e8a54030c99837e6a808bf44734c5c707cbcd5bc70f76fd84f3053eb5a04942c

Observation c97a2a48-0119-49c7-80e6-b1dab0fafe15 · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:54:04.551857Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:bc1b43461d7e6765899fb973c147abd2183905fdff1a2c019dff54cb869db5ec

Observation ca41afe4-0a34-433b-b6eb-1c56253b0417 · outbound

This paper cites FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions.

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:46:09.879003Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:d2f92ff50f459b5bff441305f24e7182198024e20746188cb2f181ce0127c0ad

Observation 85822b42-61fc-4f0c-9168-7861d1e330a1 · outbound

This paper cites InProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval(Washington DC, USA)(SIGIR ’24).

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

Resolution
malformed identifier
arxiv_id, observed 2026-05-10T13:46:09.882751Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:8a3f41fbbec31ca919b7299c1f18990fcbd0dc518de7bfaa5d5cf7a868f1d052

Observation 84ff8742-a165-4f14-9598-ab4422804bf9 · outbound

This paper cites A two-stage adaptation of large language models for text ranking.

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models A two-stage adaptation of large language models for text ranking

Reference 17

Resolution
malformed identifier
raw_fallback, observed 2026-05-10T13:46:09.914839Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:e4d4a2fe5e8a055dbd8f0f761bb580ca97b06fef2b1ce57c58bbfaad11acf1d6

Observation 52ff855d-ae13-4242-9951-64fa497d8607 · outbound

This paper cites arXiv preprint arXiv:2310.18608 , year=.

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models arXiv preprint arXiv:2310.18608 , year=

Reference 18

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metadata mismatch
arxiv_id, observed 2026-05-10T13:46:09.889093Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:0b1b96304c29e16c78867899a4eade1aa431e601e0d4ab75e8831658f0197542

Observation d47810bd-2b96-4275-8f3d-702707dd4d65 · outbound

This paper cites Question Type.

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models Question Type

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T13:46:09.916532Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:65defc5cafa2b4bdb5f34910d5584b5c5418390de71bc4ef3e701f8464bd0ffb

Observation 559c55db-0630-4698-a20f-cdd4b9be1c71 · outbound

This paper cites an unresolved cited work.

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models Unresolved cited work

Reference 20

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unresolved
raw_fallback, observed 2026-05-10T13:46:09.903119Z

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.

source=pdf_text observed=2026-05-10T13:46:09.851496Z digest=sha256:2109b3a853529c351bb90da0d166a86be65eb4405a1972998254c5f4f05faefd

Pith citing papers

Observation b9dfe937-63d3-43dc-8bf0-716be5dc8e52 · inbound

Should We Still Pretrain Encoders with Masked Language Modeling? cites this paper.

Should We Still Pretrain Encoders with Masked Language Modeling? Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-05-19T06:32:07.644004Z

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.

source=arxiv_source observed=2026-05-19T06:31:37.201344Z digest=sha256:2a222044fe5de78da53879d28cb4b48e4dc22fca29fb785edad13d5acea268e5

Observation 3904c005-2301-4280-ae5e-44dff9682208 · inbound

Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings cites this paper.

Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-22T01:00:52.292103Z

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.

source=pdf_text observed=2026-05-22T00:56:48.126302Z digest=sha256:1882aed4e2e5334e8475c77ea1d60d5bfb4079ebb2ada8268bbb977b17410635

Observation 48d3e0af-90d3-4bd5-8e4f-4fcfc7c952d1 · inbound

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions cites this paper.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-05-16T21:20:22.291514Z

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.

source=pdf_text observed=2026-05-16T21:20:22.146417Z digest=sha256:5946e6d96ff0ac021acb2b73ba73fb4437c5c4fad90520164badef01fea1592d

Observation 85a4ef48-d11c-47c9-ac17-ddb353f18903 · inbound

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions cites this paper.

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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unresolved
no resolver link, observed 2026-08-06T19:36:05.775512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:36:05.775512Z digest=sha256:e35ce4c3ada6380d163a2144ba9f756553c432c095b92ce30b33cd8aafb4b38e

Observation e4cc2e0d-72d5-4f4d-876d-a54ddbd8c0e9 · inbound

Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model cites this paper.

Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T19:30:14.019950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:30:14.019950Z digest=sha256:999ec3eea1abcad17bf51551116c03b4cd742af37864676c4e287808d2286431

Observation eb1f6261-ee4a-47ef-8fe6-fff9eb1393b3 · inbound

Test-Time-Matching: Decouple Personality, Memory, and Linguistic Style in LLM-based Role-Playing Language Agent cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-06T15:06:10.676130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:06:10.676130Z digest=sha256:3da37faef90e6270983c71ac0503cd3b6a36bca7aea35aa1afb71add90491439

Observation 3d1b5a74-6c0e-4928-9a1c-4ca38cf4cb9d · inbound

Reliable Evaluation Protocol for Low-Precision Retrieval cites this paper.

Reliable Evaluation Protocol for Low-Precision Retrieval Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T00:56:56.183935Z

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.

source=pdf_text observed=2026-05-19T00:55:54.623814Z digest=sha256:273e9d88b7009e6e74378edf1a52f15dcaa379dedd0fde9e87470c2318452038

Observation b29c6c51-9e65-48f3-8de4-4a48c5ab1f92 · inbound

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis cites this paper.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T04:35:32.297735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:35:32.297735Z digest=sha256:b94601eafcda5238586dadb2ee870259dbfb70f11d40f52ee73a5d741e65448c

Observation eb3d1fa1-0452-4abb-95bd-384d86ca77ee · inbound

BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent cites this paper.

BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T22:46:12.588950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:46:12.588950Z digest=sha256:d8177a474ed2afa8d9f5cb7a5fabc353f151ce6733b3590eb706637a4b6b47f1

Observation b6211e31-d65d-43cb-9012-194a26aba94a · inbound

From Ranking to Selection: A Simple but Efficient Dynamic Passage Selector for Retrieval Augmented Generation cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-05T21:01:54.999703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:01:54.999703Z digest=sha256:44a15bd21a3757387c5555243a69c675886568a76349512856e24c21715baff9

Observation 9ad5f067-a670-4a12-bca3-54a75516314e · inbound

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations cites this paper.

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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unresolved
no resolver link, observed 2026-08-05T20:52:14.945706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:52:14.945706Z digest=sha256:ef7998e4e7e721b255a4a3104a537a27880ff9e23048c7a2fb897d5396e267c5

Observation f0daeea1-79bf-40f1-ac95-85ea06d2e06f · inbound

RTTC: Reward-Guided Collaborative Test-Time Compute cites this paper.

RTTC: Reward-Guided Collaborative Test-Time Compute Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 34

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unresolved
no resolver link, observed 2026-08-05T23:10:44.206752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:10:44.206752Z digest=sha256:fb103dfb32df21ffbe7a6a1fbf1cc0f8b8d388b4374166355fe7a91701ec9c86

Observation efd6f930-154d-40e9-a10c-1feb1396c114 · inbound

Precession of spherical orbits for the spacetime without $\mathbb{Z}_2$ symmetry induced by NUT charge cites this paper.

Precession of spherical orbits for the spacetime without $\mathbb{Z}_2$ symmetry induced by NUT charge Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-05T20:30:03.745763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:30:03.745763Z digest=sha256:83787274c75af1c3f8827983baf5ee12214ccbf166e983606c23ab2834612c28

Observation b39128e8-e24b-48fd-aefa-6f88aa1ecb41 · inbound

Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies) cites this paper.

Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies) Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 6

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source=pdf_text observed=2026-08-05T15:51:17.960799Z digest=sha256:d1ecbdbfee5f3c06a79ac2e95ac720245f7ef87712847d0806f4317c8e4a94c1

Observation 45ab6e7a-fd6e-4f4c-86df-0d146b426b67 · inbound

Efficient Code Embeddings from Code Generation Models cites this paper.

Efficient Code Embeddings from Code Generation Models Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 23

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no resolver link, observed 2026-08-05T14:28:59.779271Z

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source=pdf_text observed=2026-08-05T14:28:59.779271Z digest=sha256:a761652e61c5afb22d8001e26784010ff4fceebe8d7f01ae7ba410935cdc8b1c

Observation a7d22034-0b06-456d-a7fc-0b32bb899ecd · inbound

QZhou-Embedding Technical Report cites this paper.

QZhou-Embedding Technical Report Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 34

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no resolver link, observed 2026-08-05T14:11:08.268012Z

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source=pdf_text observed=2026-08-05T14:11:08.268012Z digest=sha256:6e430a2740acbe0220bda28ac3325200c6c2f581caeafa8d844505b84f791083

Observation 01dbef53-f3cc-4bd7-9438-3f90810d30e6 · inbound

MobiAgent: A Systematic Framework for Customizable Mobile Agents cites this paper.

MobiAgent: A Systematic Framework for Customizable Mobile Agents Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 32

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no resolver link, observed 2026-08-05T13:35:01.925890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:35:01.925890Z digest=sha256:618250489510a33efbd0ff6383cad517fffbf8efa20712feb5f589407cfeec25

Observation 9ed0bc8b-7428-4ca4-b74f-bbcf8d513aee · inbound

EVENT-Retriever: Event-Aware Multimodal Image Retrieval for Realistic Captions cites this paper.

EVENT-Retriever: Event-Aware Multimodal Image Retrieval for Realistic Captions Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 35

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no resolver link, observed 2026-08-05T13:20:24.890387Z

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source=pdf_text observed=2026-08-05T13:20:24.890387Z digest=sha256:d1a979a31516bf2d57312c8ab2690cf0d20f624eee4f72c5a4e3f9c5f2495c40

Observation cd5ed5b9-433b-4e96-b870-16a24d89c66a · inbound

Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models cites this paper.

Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 38

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no resolver link, observed 2026-08-05T05:14:15.112009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:14:15.112009Z digest=sha256:e2bd050b91bf4756cc33a1a52e61daea2c352295cd46aabe76c685363a0b7730

Observation 9695e411-634f-49d1-84b4-bd5ad66bda3d · inbound

Another Turn, Better Output? A Turn-Wise Analysis of Iterative LLM Prompting cites this paper.

Another Turn, Better Output? A Turn-Wise Analysis of Iterative LLM Prompting Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 40

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no resolver link, observed 2026-08-04T23:12:10.161715Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:12:10.161715Z digest=sha256:ec616f9c484bdf61670a876b41cd7f94c34a93fdf64081590deac5694961f3c1

Observation 1c3b5edf-0ea7-4b63-bb80-562f3c90f3a6 · inbound

Automated Evidence Extraction and Scoring for Corporate Climate Policy Engagement: A Multilingual RAG Approach cites this paper.

Automated Evidence Extraction and Scoring for Corporate Climate Policy Engagement: A Multilingual RAG Approach Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 15

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no resolver link, observed 2026-08-04T20:03:51.840304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T20:03:51.840304Z digest=sha256:b01f83d689d6a79f326bf5740e3628677b30d7412a36f2481df49931521fb0a1

Observation 6be78caf-f01b-4007-a45a-88292b4497cf · inbound

EpiCache: Episodic KV Cache Management for Long-Term Conversation on Resource-Constrained Environments cites this paper.

EpiCache: Episodic KV Cache Management for Long-Term Conversation on Resource-Constrained Environments Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 41

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verified exact
local_arxiv, observed 2026-05-21T21:54:22.780916Z

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.

source=arxiv_source observed=2026-05-21T21:54:05.442769Z digest=sha256:9b1d9f19f73cfc8b66b59912cae919d5b961f473884374d54a520e80e62b86f0

Observation 01340787-a1ff-4b61-a7be-b8f4ac58b9c2 · inbound

MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction cites this paper.

MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 72

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verified exact
local_arxiv, observed 2026-05-18T14:11:27.423609Z

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.

source=arxiv_source observed=2026-05-18T14:09:22.942238Z digest=sha256:8c656c6559fa0bd2ddccd8f05b5078b80ba90d766e982ab91a2f4b0e4166c20b

Observation 3adb826d-30df-41c7-b5aa-99d182d2c4c7 · inbound

RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards cites this paper.

RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 50

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verified exact
local_arxiv, observed 2026-05-21T22:10:42.032630Z

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.

source=arxiv_source observed=2026-05-21T22:09:47.649346Z digest=sha256:6414b262fd3aec22c573ef292b5f91de40a17a53de89c9b90c6fcb2a1a079222

Observation d73e2855-d4f4-43f8-a151-e18b6165482b · inbound

Knowing When to Defer: Selective Prediction for Responsible Knowledge Tracing cites this paper.

Knowing When to Defer: Selective Prediction for Responsible Knowledge Tracing Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 11

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verified exact
local_arxiv, observed 2026-05-18T13:56:26.572380Z

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.

source=arxiv_source observed=2026-05-18T13:53:04.603325Z digest=sha256:4b7d1b490b56744b05987d243b2c91719cfb6bf8acae8f7f62ddf650d1352596

Observation 16134437-e8a3-423d-95c9-e0a19b1245aa · inbound

MoveFM-R: Advancing Mobility Foundation Models via Language-driven Semantic Reasoning cites this paper.

MoveFM-R: Advancing Mobility Foundation Models via Language-driven Semantic Reasoning Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 46

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verified exact
local_arxiv, observed 2026-05-18T13:21:24.257616Z

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.

source=arxiv_source observed=2026-05-18T13:17:33.815644Z digest=sha256:c6b20278adf24b2b69cb288fae8126d49706a9555a0e949bc9b8654fca10505c

Observation d64e751a-4c5c-4970-b7e8-e8d345809563 · inbound

G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge cites this paper.

G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 53

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verified exact
local_arxiv, observed 2026-05-18T13:26:24.973196Z

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.

source=arxiv_source observed=2026-05-18T13:23:30.218806Z digest=sha256:8aa6e6c9508faf94e34770f79799d4176991dbf1ff15ed07ab4906a91c9549c0

Observation ef0ff659-8097-4ab8-9413-959c7450153d · inbound

T-POP: Test-Time Personalization with Online Preference Feedback cites this paper.

T-POP: Test-Time Personalization with Online Preference Feedback Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 23

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no resolver link, observed 2026-08-04T13:52:12.731241Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:52:12.731241Z digest=sha256:e38d839495bb0c60ee4dd4a2fe48c294e14f5e5d862b1afca280befb1b41264f

Observation d6ba1238-ae34-4f15-a9ca-716b68bf7245 · inbound

Eyes-on-Me: Scalable RAG Poisoning through Transferable Attention-Steering Attractors cites this paper.

Eyes-on-Me: Scalable RAG Poisoning through Transferable Attention-Steering Attractors Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 45

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unresolved
no resolver link, observed 2026-08-04T13:28:09.910294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:28:09.910294Z digest=sha256:36eaa4b812d4b857c40bdef4532b7cc1ee47f49d8928b88c95e1c5a14ac66678

Observation 49b0e67d-3144-4c0f-b4c3-68cf88cae989 · inbound

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner cites this paper.

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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verified exact
local_arxiv, observed 2026-05-18T10:16:13.977887Z

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.

source=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:35200415938e0cbd942a0af0464df9236ecaeb1a29f5c694f18894f54ced60c2

Observation 4b10aa90-59f6-4c60-802c-4deb55ffcc73 · inbound

Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization cites this paper.

Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 37

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metadata mismatch
local_arxiv, observed 2026-05-18T09:42:30.720743Z

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.

source=pdf_text observed=2026-05-18T09:41:38.974413Z digest=sha256:49d13246bbbf7faf52be741e96f4db0485ca3eea929a6ea9368a03446521084a

Observation 94aa5bb9-2218-4f67-8773-a9cfc6ddae0c · inbound

MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts cites this paper.

MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 36

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unresolved
no resolver link, observed 2026-08-04T11:23:52.753251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:23:52.753251Z digest=sha256:37117b3768b77870683c3a14cd0bc1a3b7be5049f447c706ae56e62f1e17031f

Observation c618ce7f-71c6-448d-adf0-0207f780b669 · inbound

Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels cites this paper.

Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 12

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verified exact
local_arxiv, observed 2026-05-18T08:41:08.337290Z

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.

source=pdf_text observed=2026-05-18T08:39:54.747656Z digest=sha256:cb8b17ea25cad32c7d305279ae41b24e5d7774b539eecdf1121fa614612d7fc6

Observation fe227b79-e9e0-49be-a364-e4719e71e7e7 · inbound

Search-R3: Unifying Reasoning and Embedding in Large Language Models cites this paper.

Search-R3: Unifying Reasoning and Embedding in Large Language Models Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 85

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metadata mismatch
local_arxiv, observed 2026-05-18T09:26:10.510038Z

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.

source=pdf_text observed=2026-05-18T09:25:06.990685Z digest=sha256:ac5faf3d96f209495cf2e7b9aec4cb6c8a5695c798e779e1a2b8d840755dbd7a

Observation a66cf1f0-a8fb-4335-9dd5-8a954c5ca411 · inbound

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning cites this paper.

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 57

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no resolver link, observed 2026-08-04T09:33:23.719057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:33:23.719057Z digest=sha256:b52e49c4de429e367a27fab1fdd736ba74bac443e17d0ddddf52b39cb8831551

Observation 126065f2-e99c-40d1-a8b5-bc4630b313d2 · inbound

Learning Correlated Reward Models: Statistical Barriers and Opportunities cites this paper.

Learning Correlated Reward Models: Statistical Barriers and Opportunities Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 3

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no resolver link, observed 2026-08-04T09:26:35.768950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:26:35.768950Z digest=sha256:f4176cb38017935dc62e97e84465ae58404878ae87e4702b54d4dca9a4fa55fb

Observation 836e7d2c-8598-4d25-af18-27d1615279d0 · inbound

InfiMed-ORBIT: Aligning LLMs on Open-Ended Complex Tasks via Rubric-Based Incremental Training cites this paper.

InfiMed-ORBIT: Aligning LLMs on Open-Ended Complex Tasks via Rubric-Based Incremental Training Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 35

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no resolver link, observed 2026-08-04T09:22:45.779908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:22:45.779908Z digest=sha256:41a6b6784bcb68e36c9f5fb50c347bbf8781e558069fa00f0b3e703bde1d1531

Observation 3c4d88f8-f6fd-44eb-a7a8-c825e0de3443 · inbound

DeepEye-SQL: A Software-Engineering-Inspired Text-to-SQL Framework cites this paper.

DeepEye-SQL: A Software-Engineering-Inspired Text-to-SQL Framework Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 64

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metadata mismatch
local_arxiv, observed 2026-05-18T06:10:57.558640Z

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.

source=pdf_text observed=2026-05-18T06:10:01.470427Z digest=sha256:cdb470ad537237fd2eae470af6f838fb20f61b9c39e6a6bffa12cafae5cded8e

Observation 85db5811-3374-4a24-8066-47a4399d974a · inbound

IPQA: A Benchmark for Core Intent Identification in Personalized Question Answering cites this paper.

IPQA: A Benchmark for Core Intent Identification in Personalized Question Answering Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 37

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malformed identifier
local_arxiv, observed 2026-05-18T04:12:22.087001Z

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.

source=pdf_text observed=2026-05-18T04:12:12.872384Z digest=sha256:07869e94fb4012dec737116b7e21dc69cff5b803a4d3d3828ab915730fb10161

Observation 37026759-43f6-49ef-85f5-5f6cf7322d57 · inbound

Addressing Longstanding Challenges in Cognitive Science with Language Models cites this paper.

Addressing Longstanding Challenges in Cognitive Science with Language Models Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 42

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no resolver link, observed 2026-08-04T06:55:19.925006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:55:19.925006Z digest=sha256:fc692ec9881ad029b897e937a13c9d2e7f7e5ebbd71b32ac3f5c12c5f81f80ac

Observation 0bb6a966-751b-4d52-97f7-d44dcca35462 · inbound

Question the Questions: Auditing Representation in Online Deliberative Processes cites this paper.

Question the Questions: Auditing Representation in Online Deliberative Processes Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 16

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metadata mismatch
local_arxiv, observed 2026-05-18T00:50:33.055075Z

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.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:6d42c850ef8d0710ee1011a3d21c01912347883782eb33f5ffb0b09eb78f7d68

Observation 178b46c3-e2a1-4f09-afa7-ab9ac1cf730e · inbound

ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models cites this paper.

ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 5

Resolution
malformed identifier
local_arxiv, observed 2026-05-18T00:20:32.089818Z

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.

source=pdf_text observed=2026-05-18T00:19:01.211080Z digest=sha256:764d88e66d956a996d185734ac17bceab321f2be32ac35cadc0d2a9573c787de

Observation 24d3a2a1-0462-44d1-9865-e8e4b6079970 · inbound

Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker cites this paper.

Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 42

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verified exact
local_arxiv, observed 2026-05-18T00:05:31.458841Z

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.

source=arxiv_source observed=2026-05-18T00:04:47.376473Z digest=sha256:acdd60b979aa78cd2dd426658ade4200264f5c281234f795d1e8247e0027de07

Observation 0111a811-fb7d-4418-a2c9-970b615a3556 · inbound

Refine Thought: A Test-Time Inference Method for Embedding Model Reasoning cites this paper.

Refine Thought: A Test-Time Inference Method for Embedding Model Reasoning Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 20

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no resolver link, observed 2026-08-04T09:59:48.580309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:59:48.580309Z digest=sha256:edd05a85a9ccd0e724c53de49aaa704d74da2793d5532d4e55fcf4afb276c6b9

Observation 0526ac63-3a63-41d1-83cb-82b5784c0dc4 · inbound

HERMES: Towards Efficient and Verifiable Mathematical Reasoning in LLMs cites this paper.

HERMES: Towards Efficient and Verifiable Mathematical Reasoning in LLMs Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 45

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unresolved
no resolver link, observed 2026-08-03T20:43:46.042363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:43:46.042363Z digest=sha256:494a60b8455da3b5072e63ae11709de3cccf3144c8b9fd6d7e7b81335033cb58

Observation a3c076f0-a76e-40eb-9785-9788301a70df · inbound

VKnowU: Evaluating Visual Knowledge Understanding in Multimodal LLMs cites this paper.

VKnowU: Evaluating Visual Knowledge Understanding in Multimodal LLMs Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 118

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no resolver link, observed 2026-08-03T20:23:09.900557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:23:09.900557Z digest=sha256:4d0c0901d8307ef5aa9e6a319cbf779a74c394cb88f005300de26e34110c7def

Observation bb611e13-b34c-4555-98e3-7ddbec524471 · inbound

E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving cites this paper.

E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 76

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unresolved
no resolver link, observed 2026-08-03T18:37:03.702348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:03.702348Z digest=sha256:1ff360d513128291b0fc663fbbecdb070f849efa139922dc80d02f602b2331fa

Observation 6dc9129b-2ea6-45d5-bc9e-c92f26fe307c · inbound

LocalSearchBench: Benchmarking Agentic Search in Real-World Local Life Services cites this paper.

LocalSearchBench: Benchmarking Agentic Search in Real-World Local Life Services Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 65

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no resolver link, observed 2026-08-03T18:00:23.497544Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:00:23.497544Z digest=sha256:998e780834d285823df0b241faf1e0bf02b9c7d8f42969964fbbe908c4b38a69

Observation 2c88db1d-ce9a-4567-9e29-bdf6bde7fff3 · inbound

Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit cites this paper.

Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 81

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no resolver link, observed 2026-08-03T17:19:39.079534Z

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source=pdf_text observed=2026-08-03T17:19:39.079534Z digest=sha256:4b02479feca6b11bdf8012b36f4017de5e7091eafbe46d0bcf36dbfee25c13b4

Observation c09a55da-2328-488e-98bf-aa4830346b41 · inbound

Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning cites this paper.

Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 52

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verified exact
local_arxiv, observed 2026-05-16T22:43:37.931425Z

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.

source=arxiv_source observed=2026-05-16T22:43:01.937642Z digest=sha256:9fe26248e79f5e3799a1881d22c11e8485a7e879cd50d27485909c7ae78eb1e4

Observation d3d04045-e888-40c4-9bde-b64985c16329 · inbound

PathFLIP: Fine-grained Language-Image Pretraining for Versatile Computational Pathology cites this paper.

PathFLIP: Fine-grained Language-Image Pretraining for Versatile Computational Pathology Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 7

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no resolver link, observed 2026-08-03T15:17:38.652786Z

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source=pdf_text observed=2026-08-03T15:17:38.652786Z digest=sha256:e6ca242662008c831175eae30c6924681744a8d5dc3158cf8f739fd519077d6e

Observation aa7a9f07-72c3-424b-8568-8bd6f2507d90 · inbound

Fusion or Confusion? Multimodal Complexity Is Not All You Need cites this paper.

Fusion or Confusion? Multimodal Complexity Is Not All You Need Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 57

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verified exact
local_arxiv, observed 2026-05-16T18:51:11.402524Z

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.

source=pdf_text observed=2026-05-16T18:50:19.712241Z digest=sha256:73743a5a15b2f9fe5be2cea9adb2b82b7be2d87db91ee0f86d134329d95cb753

Observation 301c782a-cfbf-45f9-8c44-f4acc234e127 · inbound

Enhancing Diversity of LLM-Generated Educational Tasks cites this paper.

Enhancing Diversity of LLM-Generated Educational Tasks Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 27

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no resolver link, observed 2026-08-03T13:38:47.193888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:38:47.193888Z digest=sha256:77af437fd228afb2de5cfc8636d87fcdf5a044efddbbdc9467cd851843d527af

Observation 9d3c6a82-f78e-4ea9-8227-95f778c1fbf3 · inbound

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts cites this paper.

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 12

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no resolver link, observed 2026-08-03T12:41:26.024757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:41:26.024757Z digest=sha256:1eb9ff733296c7e76cda34d9de20d4657ac6d0c10f6807f3d9cc4af826532993

Observation d16aa24f-3869-4653-91f6-0d84274a8131 · inbound

CircuitLM: A Multi-Agent LLM-Aided Design Framework for Generating Circuit Schematics from Natural Language Prompts cites this paper.

CircuitLM: A Multi-Agent LLM-Aided Design Framework for Generating Circuit Schematics from Natural Language Prompts Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 23

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no resolver link, observed 2026-08-03T12:04:06.903935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:04:06.903935Z digest=sha256:f6e5656887ee371814a009025fba69d080aa35643dc481f22d630017f407188b

Observation dd398902-e98f-4eeb-8dd3-55b90fe9c233 · inbound

Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking cites this paper.

Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-12T09:36:21.263974Z

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.

source=pdf_text observed=2026-05-12T09:36:21.184692Z digest=sha256:a001ceb244285aa4ee4e4421140360d2866a64e250de753a12ef3a14a0270e48

Observation 92b13f28-71be-4733-b64b-ea08cbb96f48 · inbound

iTIMO: An LLM-empowered Synthesis Dataset for Travel Itinerary Modification cites this paper.

iTIMO: An LLM-empowered Synthesis Dataset for Travel Itinerary Modification Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 60

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unresolved
no resolver link, observed 2026-08-03T10:21:45.786761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:21:45.786761Z digest=sha256:d31670ca41dcc6d900ce2f9357be79b4ca8f24b82bc35bd5f33dce14ada232d4

Observation 5386c08c-5d8f-453d-9bfc-88e2474def83 · inbound

CORE-T: COherent REtrieval of Tables for Text-to-SQL cites this paper.

CORE-T: COherent REtrieval of Tables for Text-to-SQL Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 25

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no resolver link, observed 2026-08-03T09:41:42.541955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T09:41:42.541955Z digest=sha256:a173f91411abcf981e2dbc28fb1462d3e141ca4d85a8f9834d56b4979ee686e8

Observation 0fbbc9ae-b65c-49b2-896d-66fc6d38c26f · inbound

Legal Retrieval for Public Defenders cites this paper.

Legal Retrieval for Public Defenders Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 42

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verified exact
local_arxiv, observed 2026-05-21T15:10:16.612940Z

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.

source=pdf_text observed=2026-05-21T15:08:52.648347Z digest=sha256:7526ffcc4fff5e4a2555a817282916b712b8929cbdd6964a88bd0b49b0a7f291

Observation a4a45183-97e7-485c-9337-fabebc45024b · inbound

Agentic Search in the Wild: Intents and Trajectory Dynamics from 14M+ Real Search Requests cites this paper.

Agentic Search in the Wild: Intents and Trajectory Dynamics from 14M+ Real Search Requests Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 59

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verified exact
local_arxiv, observed 2026-05-16T11:20:53.143730Z

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.

source=pdf_text observed=2026-05-16T11:20:20.651794Z digest=sha256:1406165d54f80dbe7e298d3b50fe5188d3a8c7382be49c4f6036108a8380c2c5

Observation a4f5b7f5-685a-4c34-8b02-f86e2a755692 · inbound

BEAR: Budgeted Evidence Allocation for Multi-Document Reasoning cites this paper.

BEAR: Budgeted Evidence Allocation for Multi-Document Reasoning Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 2025

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no resolver link, observed 2026-08-03T08:11:22.394247Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:11:22.394247Z digest=sha256:7dab250f17a16d35152ea4b9a7d0ce767df3a432f45322ad725b831eccaf574f

Observation ebdb05c2-3310-416d-bfe0-9cc81e0bafa2 · inbound

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction cites this paper.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 34

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no resolver link, observed 2026-08-03T08:03:02.683547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:03:02.683547Z digest=sha256:85c75d8db83a95d16d8300953aaa3fdc16e7b25b58750ed4534948bbe69bc7a2

Observation 4f7508db-52c8-4c61-b7cb-710c7ce4b9e6 · inbound

S$^2$GR: Stepwise Semantic-Guided Reasoning in Latent Space for Generative Recommendation cites this paper.

S$^2$GR: Stepwise Semantic-Guided Reasoning in Latent Space for Generative Recommendation Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 49

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metadata mismatch
local_arxiv, observed 2026-05-21T14:24:12.843468Z

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.

source=pdf_text observed=2026-05-21T14:23:44.856958Z digest=sha256:034bffadcca658c07afdcd882019c7fc69fb6b087061ac099ae6d3bbc4b15052

Observation d3aae785-e360-4885-ac82-78b596d32642 · inbound

UniRec: Unified Multimodal Encoding for LLM-Based Recommendations cites this paper.

UniRec: Unified Multimodal Encoding for LLM-Based Recommendations Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 14

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verified exact
local_arxiv, observed 2026-05-16T10:50:51.368086Z

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.

source=pdf_text observed=2026-05-16T10:50:36.112197Z digest=sha256:6b92da87fd4f83117e5f9e07bd66917b7dcb134debd8632fbb4b2c1c4b788789

Observation 688e6813-1c61-4cda-bf8e-245ea7067a77 · inbound

RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment cites this paper.

RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 52

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unresolved
no resolver link, observed 2026-08-03T06:01:39.529736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:01:39.529736Z digest=sha256:bf35cfd3d6efe27ef9abda057d44f6b9e58782411686f4aee334aee9e1e427d1

Observation 566643e0-c5de-4090-8516-b8f112b17f85 · inbound

Improve Large Language Model Systems with User Logs cites this paper.

Improve Large Language Model Systems with User Logs Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 51

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metadata mismatch
local_arxiv, observed 2026-05-21T14:34:12.915052Z

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.

source=pdf_text observed=2026-05-21T14:34:01.332088Z digest=sha256:1c91093592a1399fe3e77f0400137eca75cf5986ec8be30a2a4026904bbb997a

Observation e258c406-3ada-4500-b905-63fd91bba9ed · inbound

Improve Large Language Model Systems with User Logs cites this paper.

Improve Large Language Model Systems with User Logs Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 51

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unresolved
no resolver link, observed 2026-08-03T04:00:21.719594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:00:21.719594Z digest=sha256:3b378c2c9b0e1ab64391a7c81779c4c1ca115f7fdc932812af0e537a0673d67b

Observation aad58e66-87d2-4b71-940b-1073e7080f94 · inbound

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization cites this paper.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-05-16T07:10:43.051586Z

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.

source=pdf_text observed=2026-05-16T07:09:46.254851Z digest=sha256:1ac09001a482e1502eb5d0ecac89c004c5833b84cd5fed974f5c5e66bcdb3ec8

Observation e3ecaf07-c5e7-4e39-a0de-9130b61b83f4 · inbound

SurveyLens: A Discipline-Aware Benchmark for Automatic Survey Generation cites this paper.

SurveyLens: A Discipline-Aware Benchmark for Automatic Survey Generation Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 28

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no resolver link, observed 2026-08-03T00:57:06.034783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:57:06.034783Z digest=sha256:2207002524b605213996a86dd1e93a1f15e14df0d02a16826142f1d6477d702c

Observation 53762abd-13cd-4469-9593-fd0d135b1198 · inbound

Mixture of Predefined Experts: Maximizing Data Usage on Vertical Federated Learning cites this paper.

Mixture of Predefined Experts: Maximizing Data Usage on Vertical Federated Learning Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 43

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malformed identifier
local_arxiv, observed 2026-05-16T01:57:06.133389Z

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.

source=pdf_text observed=2026-05-16T01:54:30.814618Z digest=sha256:ca277c225786659dfa7943b04606270b678b7a0b0c56a1fb95718f5892975b40

Observation 7cf49ccc-4fa3-4f4c-b94c-ecd2feffbb36 · inbound

SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise cites this paper.

SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-15T22:50:22.426018Z

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.

source=pdf_text observed=2026-05-15T22:47:12.521942Z digest=sha256:334f57521ff92696ca46b1bc75509cc16dc6cfc93d5370c6ae9b6878ad8cd123

Observation b9806751-89c3-4bfe-8616-bc53e1b39460 · inbound

SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise cites this paper.

SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 44

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unresolved
no resolver link, observed 2026-08-02T23:47:03.785455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:47:03.785455Z digest=sha256:6b10567cb90dc7ff0aeb2a7e17c5f9d1596671b3baa86dce7c82926f7157b99c

Observation 9777c6d3-4c8c-4162-84a3-54cd33b229fb · inbound

jina-embeddings-v5-text: Task-Targeted Embedding Distillation cites this paper.

jina-embeddings-v5-text: Task-Targeted Embedding Distillation Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-15T21:50:20.718448Z

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.

source=pdf_text observed=2026-05-15T21:48:01.320062Z digest=sha256:8ddad1efe43e22c90672b9fd878ce774f786f37b1cfbee9cc6fcf0a4e1180d74

Observation 7498184a-2d0d-4eed-9234-f66f39c478f3 · inbound

Revisiting Text Ranking in Deep Research cites this paper.

Revisiting Text Ranking in Deep Research Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 67

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no resolver link, observed 2026-08-02T21:06:43.316656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:06:43.316656Z digest=sha256:a245f85529d83627a01b987bc6c13a2aa577f66c9855713ca05de42d9447c137

Observation 1b2f6a70-da82-4baf-b99b-82697c733e0c · inbound

MoDora: Tree-Based Semi-Structured Document Analysis System cites this paper.

MoDora: Tree-Based Semi-Structured Document Analysis System Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-15T19:10:15.541436Z

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.

source=pdf_text observed=2026-05-15T19:09:41.482713Z digest=sha256:1c1a2c76d80be7e298d8a1997375dd4920ba02d34caf17d7db9b0b2c5bb450dc

Observation 9d535491-eb2c-4a2c-b362-e68c76620965 · inbound

SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport cites this paper.

SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 2023

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unresolved
no resolver link, observed 2026-08-02T20:27:15.670674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:27:15.670674Z digest=sha256:acef2e91352637b26e0689389ccdeccc49cc1fc4348943151a5fb4feb475d349

Observation 3c443da4-0b33-4846-9293-b38a3b3d4091 · inbound

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search cites this paper.

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-15T19:30:16.785013Z

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.

source=pdf_text observed=2026-05-15T19:27:17.802597Z digest=sha256:7dba8d41007d3086094dc3197f793600bb0faeb3311037fde566e72223b2bd12

Observation d779f5fe-df30-4887-8762-9d57f07c207a · inbound

ActMem: Bridging the Gap Between Memory Retrieval and Reasoning in LLM Agents cites this paper.

ActMem: Bridging the Gap Between Memory Retrieval and Reasoning in LLM Agents Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 21

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unresolved
no resolver link, observed 2026-08-03T04:48:19.914908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:48:19.914908Z digest=sha256:02da0251c429eb27e71533a1677a2b312b0a6c14898245da463a20866198cd3c

Observation 93886e3c-a0e1-4be5-8bce-e27eeb57d4ac · inbound

SafeSci: Safety Evaluation of Large Language Models in Science Domains and Beyond cites this paper.

SafeSci: Safety Evaluation of Large Language Models in Science Domains and Beyond Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-15T18:01:25.243853Z

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.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:2c8d59b21f0d70c588aab12952e4277686f42e2ff08e1a1edfa195b683dbd27a

Observation 23ee3ae6-656f-47f3-9099-df167ff2bd4f · inbound

MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks cites this paper.

MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-02T19:22:25.464864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T19:22:25.464864Z digest=sha256:5d4cabf1f977648774517a9f846aec1bc159891789069a1dce1ef64371257d5c

Observation 2a80412a-c86b-44a9-a02e-10de36f476f9 · inbound

Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage cites this paper.

Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 69

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T13:10:49.378085Z

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.

source=pdf_text observed=2026-05-15T13:10:06.367994Z digest=sha256:4f59a3c50ff939ac133407addda949c722864bf8d2116556d2952ca4b02e9a22

Observation 9a4801d0-2455-4e47-b36d-13ce8bc77344 · inbound

LMEB: Long-horizon Memory Embedding Benchmark cites this paper.

LMEB: Long-horizon Memory Embedding Benchmark Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-15T12:30:00.405472Z

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.

source=pdf_text observed=2026-05-15T12:26:08.190349Z digest=sha256:8bdddd122f3602e94b714b96049f531f50898f98ec0420e35deaaa5e8a443be5

Observation 219e73ae-8089-416d-b3a2-e0c1179f8857 · inbound

LMEB: Long-horizon Memory Embedding Benchmark cites this paper.

LMEB: Long-horizon Memory Embedding Benchmark Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 41

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Observation ac1c0e37-124d-40c5-97c8-8b2c777c3391 · inbound

LMEB: Long-horizon Memory Embedding Benchmark cites this paper.

LMEB: Long-horizon Memory Embedding Benchmark Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 41

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Observation 905a0ddd-9284-4ddd-82ac-838b367e6fda · inbound

Beyond Medical Diagnostics: How Medical Multimodal Large Language Models Think in Space cites this paper.

Beyond Medical Diagnostics: How Medical Multimodal Large Language Models Think in Space Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 2019

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Observation 28d1f29e-4c95-4a9c-8d0d-8e073664479b · inbound

OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation cites this paper.

OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 29

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no resolver link, observed 2026-08-03T02:34:21.625901Z

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Observation c8b9b5e1-6899-4e8b-b4fc-616624c61d27 · inbound

Public Profile Matters: A Scalable Integrated Approach to Recommend Citations in the Wild cites this paper.

Public Profile Matters: A Scalable Integrated Approach to Recommend Citations in the Wild Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 24

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verified exact
local_arxiv, observed 2026-05-15T09:19:54.207011Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation acc563f5-d560-4764-9bd3-2c47662ca993 · inbound

Spectral Tempering for Embedding Compression in Dense Passage Retrieval cites this paper.

Spectral Tempering for Embedding Compression in Dense Passage Retrieval Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 48

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local_arxiv, observed 2026-05-15T08:59:53.149097Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f844fe45-4458-4de6-8b71-e83d5eb4b2fe · inbound

ME-IQA: Memory-Enhanced Image Quality Assessment via Re-Ranking cites this paper.

ME-IQA: Memory-Enhanced Image Quality Assessment via Re-Ranking Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 76

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Observation 02ec4337-884a-41a9-a60d-fba9b641e025 · inbound

UniICL: Systematizing Unified Multimodal In-context Learning through a Capability-Oriented Taxonomy cites this paper.

UniICL: Systematizing Unified Multimodal In-context Learning through a Capability-Oriented Taxonomy Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 49

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source=pdf_text observed=2026-07-13T18:42:33.178622Z digest=sha256:0dd874e2d6d14ed76c446c44eedae6d63ae3c2faf99a6f7ec33c01c8b4989406

Observation 966d9c10-f41c-4337-88ce-9c38367a7ae3 · inbound

Structured Observation Language for Efficient and Generalizable Vision-Language Navigation cites this paper.

Structured Observation Language for Efficient and Generalizable Vision-Language Navigation Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 57

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source=pdf_text observed=2026-08-02T17:15:42.509114Z digest=sha256:0b2ed98e8d6b34292172dc1833777010ccf6110e4446cbabf8cd460574cab9ce

Observation c6b7f704-9b36-47ed-8f58-4fb53c068018 · inbound

Structured Observation Language for Efficient and Generalizable Vision-Language Navigation cites this paper.

Structured Observation Language for Efficient and Generalizable Vision-Language Navigation Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 57

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source=pdf_text observed=2026-08-04T05:43:13.341509Z digest=sha256:550c4d09cf4f938f6e066a3eac118e57a3b190f842bb7033c938b1b513aabd24

Observation 242fde40-c16e-4f5b-b9d0-35535ada5b72 · inbound

UniRank: End-to-End Domain-Specific Reranking of Hybrid Text-Image Candidates cites this paper.

UniRank: End-to-End Domain-Specific Reranking of Hybrid Text-Image Candidates Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 61

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no resolver link, observed 2026-08-03T03:30:19.052129Z

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source=pdf_text observed=2026-08-03T03:30:19.052129Z digest=sha256:9d67afeecaffc618a9d5c7f70e8287709fe773459c033a9a9d40995c44dd727d

Observation 2ce66875-17e8-4512-a9ce-f6fbeee9aa15 · inbound

BBC: Improving Large-k Approximate Nearest Neighbor Search with a Bucket-based Result Collector cites this paper.

BBC: Improving Large-k Approximate Nearest Neighbor Search with a Bucket-based Result Collector Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 99

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local_arxiv, observed 2026-05-13T20:48:15.199419Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4075ebec-238c-4c20-9010-cddd11376986 · inbound

BBC: Improving Large-k Approximate Nearest Neighbor Search with a Bucket-based Result Collector cites this paper.

BBC: Improving Large-k Approximate Nearest Neighbor Search with a Bucket-based Result Collector Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 103

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source=pdf_text observed=2026-07-13T14:06:32.542639Z digest=sha256:d98f98bb0295a404c11fd7e99c3d2f65306fb48d9cbb7bd567f23498247ad8a0

Observation 8c5d59e8-6cc1-41d4-8909-9c5cacc56aa0 · inbound

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning cites this paper.

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 56

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source=arxiv_source observed=2026-07-13T13:59:01.287449Z digest=sha256:3a88d77d6f6cd44cb53294aa1eada2908f642d6e49b156596a574d87d1b7af0f

Observation 1e095366-6ab0-40aa-af40-82e6a8f65399 · inbound

VitaTouch: Property-Aware Vision-Tactile-Language Model for Robotic Quality Inspection in Manufacturing cites this paper.

VitaTouch: Property-Aware Vision-Tactile-Language Model for Robotic Quality Inspection in Manufacturing Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 37

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local_arxiv, observed 2026-05-13T21:18:16.768304Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T21:17:44.664425Z digest=sha256:252e3867934a0fd5ed9d2100ee98486567095a36c6d1666d34b4cc6ca6a05ba1

Observation 868d8a9c-197b-4108-b6c5-d8e90f767b46 · inbound

Align then Train: Efficient Retrieval Adapter Learning cites this paper.

Align then Train: Efficient Retrieval Adapter Learning Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 27

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local_arxiv, observed 2026-05-13T18:18:06.302322Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T18:15:32.802259Z digest=sha256:799b86bf46856d34a9701a1f5a4cde4f9590411be0a383b957b4ffbc28ba7702

Observation f1b9f765-143e-4f82-a8d2-e4265494cf77 · inbound

Rank, Don't Generate: Statement-level Ranking for Explainable Recommendation cites this paper.

Rank, Don't Generate: Statement-level Ranking for Explainable Recommendation Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 55

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local_arxiv, observed 2026-05-13T17:33:02.613385Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T17:28:37.922342Z digest=sha256:3e1f5e643dad36f4a3fd9d565511587304daf4d0390e2526d2920f972d09a23c

Observation 96faa23f-225c-4d55-aed8-c04565212ecc · inbound

Rank, Don't Generate: Statement-level Ranking for Explainable Recommendation cites this paper.

Rank, Don't Generate: Statement-level Ranking for Explainable Recommendation Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 54

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