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Paper Citation Record · LEDGER

QZhou-Embedding Technical Report

As of 18 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 1 inbound Pith citation observation for arXiv:2508.21632.

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

pith.paper-citation-record.v1
2508.21632 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:11:09.872059Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T16:17:51.948423Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T18:21:06.597279Z

Reference resolution

78 of 78 outbound references displayed

  • verified exact6
  • verified fuzzy24
  • unresolved48
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba1c6f50-39a9-44d2-ba30-e42f1a6b9ed7 · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.952676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:04.582521Z digest=sha256:ab5d631ef3fe8cfe1286b6f5511f3e87b261aea4e12fc35b829a9aeb4e348ee2

Observation 514bf2f8-483b-404b-bf60-f3e6c30b9aa1 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

QZhou-Embedding Technical Report BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2

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no resolver link, observed 2026-08-05T14:11:04.682997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:04.682997Z digest=sha256:2717f88f1dec2cb2d1e0cb6e525de813cac9160e45673757705c2396d2c22fa0

Observation 9f5a16d0-1099-4c87-a044-e41a9c64180a · outbound

This paper cites Exploring the limits of tr ansfer learn- ing with a unified text-to-text transformer.

QZhou-Embedding Technical Report Exploring the limits of tr ansfer learn- ing with a unified text-to-text transformer

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.942632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:04.826012Z digest=sha256:b215da3b02d028f44a24241a52c2fdce63f570a1193291e84ef395e4a49c7715

Observation 1d31a5dd-ad3f-441d-99f3-58b474c13336 · outbound

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

QZhou-Embedding Technical Report Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 4

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unresolved
no resolver link, observed 2026-08-05T14:11:04.969324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:04.969324Z digest=sha256:76f60efc460362db0a7a099b55af35925da17672a3f3d05eebf0619b61d6b694

Observation 02ba9c99-4549-4eb3-af84-d2076a166722 · outbound

This paper cites Unsupervised dense information retrieval with contrastive learning.

QZhou-Embedding Technical Report Unsupervised dense information retrieval with contrastive learning

Reference 5

Resolution
verified exact
raw_fallback, observed 2026-08-05T14:11:10.513689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:05.108726Z digest=sha256:e0d2bd0cb163ad0e95f9df3cf9f372a34dc15fe82947bdccb913111105e86bf6

Observation faf19577-814c-470e-9cab-cd38d4fdd175 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

QZhou-Embedding Technical Report Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T14:11:05.201953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:05.201953Z digest=sha256:b9e5a003064f2f7b0465f4810b2f11b080f48b1141dc9b1038fac7de52dcb0e8

Observation 49bbace8-af70-4e77-aba3-b0e5abf1bda2 · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.932816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:05.319414Z digest=sha256:7db2f27020a9eeaed045185ba25dd94ac7b405f69abc256fdb855cefab619118

Observation 5c533a42-6bc2-4ee7-8bcf-8db07f7f83f2 · outbound

This paper cites Large Dual Encoders Are Generalizable Retrievers.

QZhou-Embedding Technical Report Large Dual Encoders Are Generalizable Retrievers

Reference 8

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no resolver link, observed 2026-08-05T14:11:05.380759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:05.380759Z digest=sha256:5837421130c1088e30bbdd6a40b33d2dc573a4f0fce4981afd64fb27d777f24e

Observation 3df3abd5-daa9-4b3b-9cdc-334b2c0f8d6d · outbound

This paper cites Kaplan, Pra- fulla Dhariwal, Arvind Neelakantan et al.

QZhou-Embedding Technical Report Kaplan, Pra- fulla Dhariwal, Arvind Neelakantan et al

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.924031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:05.439853Z digest=sha256:16476a543535da996235dfc175e30893d954fee80d48394a4dcac9309c7594ce

Observation 63516512-bef2-402f-b93e-6eba64dd93c3 · outbound

This paper cites ”F ine-tuning llama for multi-stage text retrieval.” In Proceedings of the 47th Int ernational ACM SIGIR Conference on Research and Development in Information Re trieval, pp.

QZhou-Embedding Technical Report ”F ine-tuning llama for multi-stage text retrieval.” In Proceedings of the 47th Int ernational ACM SIGIR Conference on Research and Development in Information Re trieval, pp

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.914136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:05.549790Z digest=sha256:34a677a76ca8512c0f12f6dcf107dff874d689b074e096ff8c840dbb5f66f44a

Observation 4c0647da-fb15-444b-ad50-4730438d39a0 · outbound

This paper cites Repetition Improves Language Model Embeddings.

QZhou-Embedding Technical Report Repetition Improves Language Model Embeddings

Reference 11

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no resolver link, observed 2026-08-05T14:11:05.627144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:05.627144Z digest=sha256:c4a5854c5dd7b47db1de08d4b8abf788d7a0d256f549a3190f8d361a9084f8fa

Observation 8fcd503f-8a28-4ff7-bb11-8a00e6c43e0d · outbound

This paper cites ”Llm2vec: Large languag e models are secretly powerful text encoders.” arXiv preprint arXiv:2404.0596 1 (2024).

QZhou-Embedding Technical Report ”Llm2vec: Large languag e models are secretly powerful text encoders.” arXiv preprint arXiv:2404.0596 1 (2024)

Reference 12

Resolution
verified exact
raw_fallback, observed 2026-08-05T14:11:10.398078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:05.725831Z digest=sha256:84f072773ee52acf64dcd90141bf8a60562f0a3f9835ae7b1d56357689d3ba7a

Observation b13fe0b4-d50d-429f-9d2c-3997ced18d95 · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 13

Resolution
verified exact
raw_fallback, observed 2026-08-05T14:11:10.326057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:05.850295Z digest=sha256:eb523bc8a483569b997be1997f074a1cb36a365684f7cc426215bd785245cb81

Observation 58f9386d-24d1-417d-af5a-3672af31852d · outbound

This paper cites Jasper and Stella: distillation of SOTA embedding models.

QZhou-Embedding Technical Report Jasper and Stella: distillation of SOTA embedding models

Reference 14

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unresolved
no resolver link, observed 2026-08-05T14:11:05.965581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:05.965581Z digest=sha256:f3d88c3465a6b7053a41bbf532684030237d8e3c68ebd168322e94d1aa87030b

Observation c3a5225e-a781-4890-b7d1-3617bc8cb863 · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

QZhou-Embedding Technical Report M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T14:11:06.025041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:06.025041Z digest=sha256:63090789173ca038d1c11e2ef79a13f89a1ae745050d65ca291d6289c73923ea

Observation 9106e9d1-f2de-4def-83cb-b50439a10acc · outbound

This paper cites ”Learning more effective repre senta- tions for dense retrieval through deliberate thinking before sear ch.” arXiv preprint arXiv:2502.12974 (2025).

QZhou-Embedding Technical Report ”Learning more effective repre senta- tions for dense retrieval through deliberate thinking before sear ch.” arXiv preprint arXiv:2502.12974 (2025)

Reference 16

Resolution
verified exact
raw_fallback, observed 2026-08-05T14:11:10.230582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:06.125956Z digest=sha256:894d396d1d71a7e15f55561f43363d3bade06ff36012080eeb541ae996215be8

Observation 6df8c9ff-03f9-40b0-9cf4-3fee203dd0e9 · outbound

This paper cites LGAI-EMBEDDING-Preview Technical Report.

QZhou-Embedding Technical Report LGAI-EMBEDDING-Preview Technical Report

Reference 17

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no resolver link, observed 2026-08-05T14:11:06.261973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:06.261973Z digest=sha256:78353b45ecf0a255f3416dcee63d189ebc4bab70c08a887f9b2d5a262a54395e

Observation 5e70ff41-5e9e-4542-94a8-37d96d36f0fc · outbound

This paper cites ”Nv-embed: Improved t echniques for training llms as generalist embedding models.” arXiv preprint arXiv:2405 .17428 (2024).

QZhou-Embedding Technical Report ”Nv-embed: Improved t echniques for training llms as generalist embedding models.” arXiv preprint arXiv:2405 .17428 (2024)

Reference 19

Resolution
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raw_fallback, observed 2026-08-05T14:11:10.895208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:06.480027Z digest=sha256:5eb366f7b04e467f43d43cbc9a19065f8389f5d0265b43e3f5f896ed463c998a

Observation 8eac023e-73a7-403c-b818-e369d1e70926 · outbound

This paper cites ”Qwen2 technical report.” arXiv preprint arXiv:24 07.10671 (2024).

QZhou-Embedding Technical Report ”Qwen2 technical report.” arXiv preprint arXiv:24 07.10671 (2024)

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.886335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:06.695774Z digest=sha256:07f493d955053ebf74814f598c8b91f49520d822ed419581d5e4cd61cc9ee01f

Observation a034f753-4438-4ad0-8365-8beafb4ba744 · outbound

This paper cites ”C-pack: Packed resources for general chinese embedd ings.” In Proceedings of the 47th international ACM SIGIR conference on research and development in information retrieval, pp.

QZhou-Embedding Technical Report ”C-pack: Packed resources for general chinese embedd ings.” In Proceedings of the 47th international ACM SIGIR conference on research and development in information retrieval, pp

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.878096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:06.811313Z digest=sha256:2b7cec41db2ff2711615d2fa34f8cf87bce257808c8cfa24920166b449093c10

Observation e8882707-aa02-47b7-ae50-f8a1b01b9515 · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

QZhou-Embedding Technical Report MTEB: Massive Text Embedding Benchmark

Reference 23

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no resolver link, observed 2026-08-05T14:11:06.874874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:06.874874Z digest=sha256:bbd3568be7f042f49963be7cae1fa50fab941d78256c0e899ae44aa13e6b9fbd

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

This paper cites Conan-embedding: General Text Embedding with More and Better Negative Samples.

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

Reference 24

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:06.975299Z digest=sha256:fb55160cdc7c6064b70a505307635b599fe0a94089586a68027bed4ba856c81d

Observation 2d0aac5f-c376-4b26-9d67-58b0fc95885d · outbound

This paper cites ”An information-theoretic perspective of tf–id f measures.” Infor- mation Processing & Management 39, no.

QZhou-Embedding Technical Report ”An information-theoretic perspective of tf–id f measures.” Infor- mation Processing & Management 39, no

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.869778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:07.097575Z digest=sha256:eda1c40064b01f507bad35aa93729ee69c0e6627e597a9d9b1c165da2318b240

Observation 5a083c4c-ee71-4957-85b1-a8b0817f878a · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.860641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:07.171525Z digest=sha256:210c9d9080af235f0bd9d44466df6eccad4e1832a2817dfcbcb1d907e7051b2e

Observation d53a8bdf-b7a6-400c-9732-736133a59ac0 · outbound

This paper cites Dumais, George W.

QZhou-Embedding Technical Report Dumais, George W

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.852096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:07.283096Z digest=sha256:77a8362f9c05d4a9b88073f32b5231d96bf021786a173a72f6e7a9ac4fa52f7f

Observation c43a5a14-6411-4d25-86cf-fdcfc809cd97 · outbound

This paper cites Improving Text Embeddings with Large Language Models.

QZhou-Embedding Technical Report Improving Text Embeddings with Large Language Models

Reference 28

Resolution
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no resolver link, observed 2026-08-05T14:11:07.351329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:07.351329Z digest=sha256:9c41a8f0b355cf4c43e644fbceda0a0799697e67542c7fed96059f298025ff61

Observation c183dbbd-3ac3-4581-98f1-bc5f291accfd · outbound

This paper cites ”Sfrembedding-mistral: enhance text retrieval with tran sfer learning.” Sales- force AI Research Blog 3 (2024): 6.

QZhou-Embedding Technical Report ”Sfrembedding-mistral: enhance text retrieval with tran sfer learning.” Sales- force AI Research Blog 3 (2024): 6

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.843554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:07.484557Z digest=sha256:1bafdec3803ef5067b320ad5b94c8c96a90f5488e2efb15c05b9446cc14037a9

Observation 78592c53-619a-4a72-b3a4-3274494fc712 · outbound

This paper cites Sfr-embedding-2: Advanced text embedding with multi-stage training, 2024[J].

QZhou-Embedding Technical Report Sfr-embedding-2: Advanced text embedding with multi-stage training, 2024[J]

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.834523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:07.587508Z digest=sha256:1b7a174c0c3ff39bd3f4edb4553787cf7f2454283f8872893e5873c3b7b6df9a

Observation 3ea0d1ba-533e-483b-bbf8-2d7e285afb36 · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.825561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:07.720636Z digest=sha256:88a62100bd9eb26081fbcf00e8b857b5894131bb0dbdf108c7542e9592387917

Observation d09ae5a4-ffd1-452e-9cbb-dab7f4086158 · outbound

This paper cites Making Text Embedders Few-Shot Learners.

QZhou-Embedding Technical Report Making Text Embedders Few-Shot Learners

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T14:11:07.847407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:07.847407Z digest=sha256:f13d31bb3266757f03831ac7fdc6973cce0050491c5d627ac5b58794f34b3caa

Observation 173f01a6-967e-42ca-96e5-840521963619 · outbound

This paper cites Towards general text embeddings with multi-stage con trastive learning,.

QZhou-Embedding Technical Report Towards general text embeddings with multi-stage con trastive learning,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.816337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:07.974582Z digest=sha256:723725a3d1245d0ff41f867aea4358791ba325c4263ce50f2ff3be2d1920c9e4

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

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

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

Reference 34

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:08.268012Z digest=sha256:81822ee4bcb51d9961a25fe4fdd7e95edbfe4131194a19d774f200b3f7438ec6

Observation 04944c12-a85c-46fd-bcc2-720b1ecaa017 · outbound

This paper cites ”Roformer: Enhanced transformer with rotary position embeddin g.” Neurocomput- ing 568 (2024): 127063.

QZhou-Embedding Technical Report ”Roformer: Enhanced transformer with rotary position embeddin g.” Neurocomput- ing 568 (2024): 127063

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.807366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:08.438486Z digest=sha256:e7fce84b50c31e5686343480bbcf35675181541f64610dd064030f150b9cc9d1

Observation 41172868-1b73-4437-bdb9-743d227129b1 · outbound

This paper cites ”Root mean square layer norma lization.” Ad- vances in neural information processing systems 32 (2019).

QZhou-Embedding Technical Report ”Root mean square layer norma lization.” Ad- vances in neural information processing systems 32 (2019)

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.798556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:08.629916Z digest=sha256:df9a075c1f87f0b602dfeba2237e317c0a8b30c54398065facc4c364606f0e47

Observation 46f1ed36-0f12-4cd0-aec1-30cec5c443ce · outbound

This paper cites GLU Variants Improve Transformer.

QZhou-Embedding Technical Report GLU Variants Improve Transformer

Reference 37

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unresolved
no resolver link, observed 2026-08-05T14:11:08.767123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:08.767123Z digest=sha256:22698a2c1d3877dc33f2e4628f696ef9cefbec46ffd3625de2bcbf82218a8a43

Observation 3ea0fc00-e294-478c-a0c0-cb4695ce7eff · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.789412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:08.928557Z digest=sha256:2ec6cf2e1940eae2a09d06395716c6218517b651047553580904595ca032f9f7

Observation 2b99477a-74ae-4035-a32f-987f9ea849a9 · outbound

This paper cites Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training.

QZhou-Embedding Technical Report Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:11:10.053158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.084905Z digest=sha256:13548119ff4a17f05fea7de4c231d67a24351433360f27432a06f972532a2073

Observation a4ca7093-5265-49fb-8007-4711e6d5c52f · outbound

This paper cites ”Circle loss: A unified perspective of pair similarit y op- timization.” In Proceedings of the IEEE/CVF conference on comput er vision and pattern recognition, pp.

QZhou-Embedding Technical Report ”Circle loss: A unified perspective of pair similarit y op- timization.” In Proceedings of the IEEE/CVF conference on comput er vision and pattern recognition, pp

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.780699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.247323Z digest=sha256:3ff46a19c285276c962c10937afd9dd5e03345b53a0942144ee1c027bac3f7e2

Observation 5d74fbfc-fbce-4d29-b3f1-25c7e3ff6f6b · outbound

This paper cites Document Expansion by Query Prediction.

QZhou-Embedding Technical Report Document Expansion by Query Prediction

Reference 41

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no resolver link, observed 2026-08-05T14:11:09.351510Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T14:11:09.351510Z digest=sha256:7aac88fd1aa185d827ff39abe9c396980993ca6233f958b9752c2e4d49c8d24b

Observation dfbf3dc4-5c3b-4e9d-a8e4-98f1f93f0769 · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 42

Resolution
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raw_fallback, observed 2026-08-05T14:11:10.771652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.501032Z digest=sha256:1985dd9d46e04c745cf21090fe81a5ea6cf51807d2fcfed1fe56332ec4bf36fc

Observation 723dd957-ee02-48cc-8699-3eddc884fe91 · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.762922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.658304Z digest=sha256:40668d3b78a0a635049e0af388c219d92b6c9977d5fef56944a0c22a4eefc807

Observation 4fc88929-9647-48d6-83fa-f7bfc18405e7 · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.753688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.717558Z digest=sha256:a30bb2dbedcbee03c4ef8a79de9b847aa0f631d957b6f687f5b434195fc9b33b

Observation 180efc72-158e-4b47-a399-35af33c265eb · outbound

This paper cites Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor.

QZhou-Embedding Technical Report Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T14:11:09.753283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:09.753283Z digest=sha256:6bcb17a36996e7e55c1f91335271a22fab22ca2bad910474858fd156d731f8bb

Observation 607c8540-e1d4-47a1-a5ec-ab0525ac5f04 · outbound

This paper cites ”Approximate nearest neighbo r negative con- trastive learning for dense text retrieval.” arXiv preprint arXiv:200 7.00808 (2020).

QZhou-Embedding Technical Report ”Approximate nearest neighbo r negative con- trastive learning for dense text retrieval.” arXiv preprint arXiv:200 7.00808 (2020)

Reference 46

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verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.904446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.766863Z digest=sha256:75a356306ffa7f467e83c1ccb4c0f6bd291a70fd1befc4a2b920c6727252e555

Observation 17191518-9d7a-4ec5-b2ee-892c3d85825e · outbound

This paper cites NV-Retriever: Improving text embedding models with effective hard-negative mining.

QZhou-Embedding Technical Report NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 47

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no resolver link, observed 2026-08-05T14:11:09.770786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:09.770786Z digest=sha256:ff8db0922d018fade797c702adff06e9d2e2ef5a2fd8248d86c2a19c3e37e986

Observation af3e5c45-f6da-4f4f-8f3d-e6da638ac530 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

QZhou-Embedding Technical Report Representation Learning with Contrastive Predictive Coding

Reference 48

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no resolver link, observed 2026-08-05T14:11:09.774015Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T14:11:09.774015Z digest=sha256:ff6e2af1dbffdd6f04be58eae50099cd99daa79b18cc35b3e9f7756109311d15

Observation 0c7d0faf-5d2e-460a-8732-d59101ed5d44 · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.744535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.777710Z digest=sha256:1965108584e275eae268543f99bc63a7f9b0207d7de5b6766710eca25b3ea623

Observation 22d07efe-5df5-4a7f-a42b-fddcf1a9f796 · outbound

This paper cites mgte: Generalized long-context text representation and reranking models for multilingual text retrieval, 2024.

QZhou-Embedding Technical Report mgte: Generalized long-context text representation and reranking models for multilingual text retrieval, 2024

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.735012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.780949Z digest=sha256:5c73349eb14f64cf6a8ba2caa599d5ad3cf6201c34cda4cfc0c711af6cfe8669

Observation 2254bab3-e306-4d21-a72d-fbadd1b67d48 · outbound

This paper cites Gecko: Versatile Text Embeddings Distilled from Large Language Models.

QZhou-Embedding Technical Report Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 51

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no resolver link, observed 2026-08-05T14:11:09.783908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:09.783908Z digest=sha256:ac7518f2b70911fd1ee917c25a5223d822fc65cbca935a7c66fca664c7672341

Observation fad817b6-7da1-4170-8e81-db1b6ee0398a · outbound

This paper cites Linq-embed-mistral: Elevat ing text re- trieval with improved gpt data through task-specific control and quality refinement.

QZhou-Embedding Technical Report Linq-embed-mistral: Elevat ing text re- trieval with improved gpt data through task-specific control and quality refinement

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.723961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.787322Z digest=sha256:89df122045001ccd9cd0788517396e4de9de21b26212d88630114e635b544580

Observation b006dd14-dc9f-4536-80c5-fb6c8eca3f90 · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.713234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.790291Z digest=sha256:47688a82e1c1792a6b461fe19d3fadba58173741eb8e529924fbaa542a73ac97

Observation 70a7993c-b5ee-48d5-9e1b-5980184aa81d · outbound

This paper cites An overview of the BIOASQ large- scale biomedical semantic indexing and question answering competitio n[J].

QZhou-Embedding Technical Report An overview of the BIOASQ large- scale biomedical semantic indexing and question answering competitio n[J]

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.703504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.793094Z digest=sha256:5331f33959431210184c58d6517d38d32e98ccf9a35f9b406e8ba6fd02814b4a

Observation 40f20082-60a2-4ee9-bdab-b3004f4826e7 · outbound

This paper cites A Span-Extraction Dataset for Chinese Machine Reading Comprehension.

QZhou-Embedding Technical Report A Span-Extraction Dataset for Chinese Machine Reading Comprehension

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:11:09.987987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.795884Z digest=sha256:72dbcb859b4ed14d503afa67e5af9e31dfb1108821f54ad10b873a633df541f1

Observation 95771c6c-27aa-49bd-9e83-640ec7dfc656 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

QZhou-Embedding Technical Report GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-05T14:11:09.798928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:09.798928Z digest=sha256:c10d92457041268c371864a1cd6b6e9a50ecfb110d62441b01f56b6dc55c1a65

Observation a23ffccb-a2e9-4ee8-be22-b89b9fb1de4f · outbound

This paper cites Yelp Inc., [Year].

QZhou-Embedding Technical Report Yelp Inc., [Year]

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.693813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.802184Z digest=sha256:8913192e41de513fe0f78ba64135b07e5f023d8f68082ce2ee8e72282e854182

Observation 18db73df-4398-49d1-b2b1-1912f3db1487 · outbound

This paper cites Learning word vectors for sent iment analy- sis[C]//Proceedings of the 49th annual meeting of the association f or computational linguistics: Human language technologies.

QZhou-Embedding Technical Report Learning word vectors for sent iment analy- sis[C]//Proceedings of the 49th annual meeting of the association f or computational linguistics: Human language technologies

Reference 58

Resolution
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raw_fallback, observed 2026-08-05T14:11:10.684462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.805082Z digest=sha256:c17119c384d6dfdafe2ec841bb85265e4dced5cb053176225f5c5009d4735331

Observation 43134c74-3530-49ea-939b-58abf935e0ec · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.675485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.808113Z digest=sha256:a96e8feb1b6fd720120a873f689b8c5663e0ef8c8ddd90aeea7358b0b36b52ca

Observation af847340-3eae-4634-be5b-6137c8082182 · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.666136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.810953Z digest=sha256:080a905e55de16ce02a223d2aa52ec3f996437a827b679b6cfe2fb1704a9d547

Observation 2c3449c5-da39-4906-a4a6-7d63b0bfe90f · outbound

This paper cites ”Lcqmc: A large-scale chinese question matching corpus.” In Proceedings of the 27th international conference on computatio nal linguistics, pp.

QZhou-Embedding Technical Report ”Lcqmc: A large-scale chinese question matching corpus.” In Proceedings of the 27th international conference on computatio nal linguistics, pp

Reference 61

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raw_fallback, observed 2026-08-05T14:11:10.657654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.814050Z digest=sha256:75728125240125bd1a51e2cf599ebcde1884f29562fcf991abc4858b4a7190fd

Observation da848704-3492-4f90-a1ae-9d00417383ba · outbound

This paper cites PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification.

QZhou-Embedding Technical Report PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification

Reference 62

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no resolver link, observed 2026-08-05T14:11:09.816775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:09.816775Z digest=sha256:1b6dadde8eb190a0f3229009609325ff91c424ac429579bd99c75b95aa17caef

Observation dfc208f5-5309-4865-8c1e-c30b58fd283c · outbound

This paper cites SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation.

QZhou-Embedding Technical Report SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

Reference 63

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no resolver link, observed 2026-08-05T14:11:09.820374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:09.820374Z digest=sha256:a9ab2013f57d9740f4bb980400b642d3006545a600cb7f3481d4690257bddd4f

Observation 570576d1-025a-40fc-9284-da4bd7a086b9 · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.646899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.823418Z digest=sha256:d1a5d991b3ca2a0983c7f3483822e8fc1703f5ced4a9c10ce48618ad2a45bc33

Observation 9667e35d-ca5b-4c21-b0dd-f42052436938 · outbound

This paper cites Natural questions: a benchmark for question answering res earch.

QZhou-Embedding Technical Report Natural questions: a benchmark for question answering res earch

Reference 65

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raw_fallback, observed 2026-08-05T14:11:10.636451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.826779Z digest=sha256:2d910dfbc957748d41c6cd3895fdbe5100da136844e5bfab343f6a529851ec1a

Observation 01b08648-8e16-4742-9ce2-8a5c76b33c6d · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.625008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.830709Z digest=sha256:81394c00c91971d0670e7b9837ac1ce51159c9c43e9e6297e9733380df6c2c76

Observation c0593e5f-e6b0-4724-89b8-d10de0d0bdfb · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 67

Resolution
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no resolver link, observed 2026-08-05T14:11:09.833360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:09.833360Z digest=sha256:d2a8d9f399b7e52b798008747e51ba4e90f148ecc892505f3a198875073b1a11

Observation 36396d0d-f380-4ea8-83ed-0fb4a3147ce2 · outbound

This paper cites Miracl: A multilingual retrieval dataset covering 18 diverse language s.

QZhou-Embedding Technical Report Miracl: A multilingual retrieval dataset covering 18 diverse language s

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.614855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.836670Z digest=sha256:d5d75ded4c1651901e25f2fb97853a082fb3001f748810167538180542de5ea2

Observation f676c3fa-42a1-4042-a553-9f76dcb120b5 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

QZhou-Embedding Technical Report SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 69

Resolution
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no resolver link, observed 2026-08-05T14:11:09.839598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:09.839598Z digest=sha256:c5a6f5dbf145b70d3ad0e5008f87afa663987db8e3be14d8fc2cbf1a7f20ec2f

Observation 8647b3de-d4d8-4cdb-9f2e-594d847ddf44 · outbound

This paper cites FEVER: a large-scale dataset for Fact Extraction and VERification.

QZhou-Embedding Technical Report FEVER: a large-scale dataset for Fact Extraction and VERification

Reference 70

Resolution
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no resolver link, observed 2026-08-05T14:11:09.842916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:09.842916Z digest=sha256:60907a4788254ef9fc44eb3bc6549c51f8934b9581618a757b1877fb79173b75

Observation 4df6c73e-9e85-4185-a9c4-e0a430817dc2 · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.604876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.845940Z digest=sha256:77779008fe600f6caa8da07ed08a7e75aa35d8da6690cac297162896513eb2f5

Observation bd644dd3-7f6e-4dd4-9e86-715d98840e45 · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.584590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.852501Z digest=sha256:f33ae0bd7be0acf87e15b19b5b14a80b636f5cc60c54b72c544c5f184fc27a92

Observation 2720cc22-9234-43b3-90ca-e03afbbaf30b · outbound

This paper cites Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval.

QZhou-Embedding Technical Report Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval

Reference 73

Resolution
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no resolver link, observed 2026-08-05T14:11:09.856114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:09.856114Z digest=sha256:43a20e71e128d9054abbe85733e6b48a387d5f3a496119073e36f5cf408cb399

Observation e1f4233d-5f9c-432a-b79b-93ea8f1ad88e · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.574910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.859815Z digest=sha256:c25fd34da4ba67b09cc93d0e56c63c7b8186a47868979b687c111314b04c5b52

Observation 0ef207c0-c558-4244-b2af-67c54daaf378 · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.565283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2d994733-bb24-41a1-8321-db07b9a3b221 · outbound

This paper cites Gemini Embedding: Generalizable Embeddings from Gemini.

QZhou-Embedding Technical Report Gemini Embedding: Generalizable Embeddings from Gemini

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-05T14:11:09.865567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:09.865567Z digest=sha256:3455d997c6ad6e7b8265ec56b3a0c0a24721de050f968515cd3abb9c89822351

Observation eae6557f-045a-4251-9b05-7c2c3e41cf9c · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.554505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.868911Z digest=sha256:0b1f4b5243427c4fd7dd9bd553d264ae68027067408b9883f0d03ae2b771f820

Observation e9810b70-fcef-4990-b69e-6359a6f383df · outbound

This paper cites an unresolved cited work.

QZhou-Embedding Technical Report Unresolved cited work

Reference 1620

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:11:10.543841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.872059Z digest=sha256:dab3858b24c21ce6ac965fe3de578c6adc95fd43db5cfefc22f22027f2ab1a13

Observation 029777a9-79d2-4f12-93af-ef40dff6bc2d · outbound

This paper cites In Proceedings of the Workshop on Machine Read ing for Ques- tion Answering, pages 37–46, Melbourne, Australia.

QZhou-Embedding Technical Report In Proceedings of the Workshop on Machine Read ing for Ques- tion Answering, pages 37–46, Melbourne, Australia

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:11:10.595702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:11:09.849150Z digest=sha256:599c9dc25ebcebaf603212cd38e2c610ea36cb4e85c68f5f8e2c93249727ed85

Observation 247ae6e0-da90-4f66-9886-174c7bf52ab1 · outbound

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

QZhou-Embedding Technical Report Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T14:11:08.141738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:08.141738Z digest=sha256:82e4468ff20565e698cce77aa0deac6c9d6d33ed3a0af12399adbd5bbfa8a22b

Pith citing papers

Observation 90a824ec-84ec-4132-9b62-4a294a407b2f · inbound

TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding cites this paper.

TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding QZhou-Embedding Technical Report

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:21:06.600065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-08T16:17:51.948423Z digest=sha256:ea9ed2bab4c11abb120f30d014059a27576c084c2ed1745f595ec3a617a88044