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Paper Citation Record · LEDGER

LGAI-EMBEDDING-Preview Technical Report

As of 7 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2506.07438.

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

pith.paper-citation-record.v1
2506.07438 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:40:14.873349Z

measured 40 of 40 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:11:06.261973Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:11:12.390726Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 351ca816-5b99-4256-b334-4fef06ce5261 · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

LGAI-EMBEDDING-Preview Technical Report LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:11.043339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:11.043339Z digest=sha256:401a482bfbd21556fb0145f6bde0b9f781d23824285ce7808555e0ffb25fd3ba

Observation c447c6aa-76f1-4972-96af-101e2d2441a7 · outbound

This paper cites Improving Text Embeddings with Large Language Models.

LGAI-EMBEDDING-Preview Technical Report Improving Text Embeddings with Large Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:11.094559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:11.094559Z digest=sha256:bafa648456441c45c14624ad392d3fb2f9ef42a4da25c4402fc85ff5eb24433e

Observation 2e08c79d-0495-4235-9b5a-cf811a8f0c50 · outbound

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

LGAI-EMBEDDING-Preview Technical Report NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:11.155975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:11.155975Z digest=sha256:9b8064f0272aacd9f89cefef607278d644d3f35304575bd399d0dc64bcab1b1d

Observation 5a226d8a-f24e-4864-afe1-026424c0a894 · outbound

This paper cites Making Text Embedders Few-Shot Learners.

LGAI-EMBEDDING-Preview Technical Report Making Text Embedders Few-Shot Learners

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:11.288837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:11.288837Z digest=sha256:5757ba5150d57b2172a49c56ef9f5fdc086233db005fd511c3c8e3b698514fed

Observation 37f348ef-7dc0-490d-8d01-6c0ef20ece40 · outbound

This paper cites Mmteb: Massive multilingual text embedding benchmark.arXiv preprint arXiv:2502.13595, 2025.

LGAI-EMBEDDING-Preview Technical Report Mmteb: Massive multilingual text embedding benchmark.arXiv preprint arXiv:2502.13595, 2025

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:11.430806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:11.430806Z digest=sha256:248d27ac53b582b80e9288a7495b06de9826cc777de5bbc08574b01b690f2ee0

Observation b9f087d7-a056-443a-9071-abb650d02a61 · outbound

This paper cites Linq-embed-mistral:elevating text retrieval with improved gpt data through task-specific control and quality refinement.

LGAI-EMBEDDING-Preview Technical Report Linq-embed-mistral:elevating text retrieval with improved gpt data through task-specific control and quality refinement

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:16.373901Z

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=2026-08-07T05:40:11.545566Z digest=sha256:adff600a9086bd1ed95dff5e532296492ba518f9e6b0b14be16fab7d3e41e272

Observation 95119040-5786-4da8-9361-c8719c672294 · outbound

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

LGAI-EMBEDDING-Preview Technical Report Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:11.709424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:11.709424Z digest=sha256:489ef437b3a046466a313763582129ffd69b138564d9942c4ce02fb268b71bdc

Observation 87e17416-112e-46ed-ae8a-8abd2367798d · outbound

This paper cites A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural Networks.

LGAI-EMBEDDING-Preview Technical Report A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural Networks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:11.874369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:11.874369Z digest=sha256:6954cfc055849130a73807463102ca285d1232e08e0c8821a11ca9a422158cf4

Observation e03a5733-76aa-4faf-b251-abc81614e3e0 · outbound

This paper cites Ms marco: A human-generated machine reading comprehension dataset.

LGAI-EMBEDDING-Preview Technical Report Ms marco: A human-generated machine reading comprehension dataset

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:12.005654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:12.005654Z digest=sha256:2c416e595f130bc3f19aa34bb7c2ca40812c56d9680857aa33562c4ea3bc7ffe

Observation 417b9bcb-33c4-4c02-ac4d-57bffa907ae4 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

LGAI-EMBEDDING-Preview Technical Report HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:12.093929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:12.093929Z digest=sha256:95e20a07d9ae6aaebb8045c835ce78f07e2a56994fc616e536c623da886f74cd

Observation 54536bad-eb21-4cea-8c37-335f5050fa4a · outbound

This paper cites Natural questions: a benchmark for question answering research.Transactions of the Association for Computational Linguistics, 7:453–466, 2019.

LGAI-EMBEDDING-Preview Technical Report Natural questions: a benchmark for question answering research.Transactions of the Association for Computational Linguistics, 7:453–466, 2019

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:12.196105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:12.196105Z digest=sha256:30113fa33f257efa864d9642f5101b1032e0ff9123f44714bc0cfb1acd8f9ca5

Observation 2e55eb05-661d-4e78-a453-e83bb2eb17dd · outbound

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

LGAI-EMBEDDING-Preview Technical Report SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:12.287430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:12.287430Z digest=sha256:0cd5a5867d37f2451f405ad9bcab1584b234abe1362beaf767307a1a14f36cb9

Observation d61b4f41-970c-47ba-b07d-e2e03cfa267e · outbound

This paper cites ELI5: Long Form Question Answering.

LGAI-EMBEDDING-Preview Technical Report ELI5: Long Form Question Answering

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:12.378847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:12.378847Z digest=sha256:c16fa274f211737b1629372debd5b19c4f56c8dbb16e4836f4eae7bad76e6777

Observation ced668e2-fbb1-4802-b759-69fd2b03bcc0 · outbound

This paper cites Retrieval of the best counterargument without prior topic knowledge.

LGAI-EMBEDDING-Preview Technical Report Retrieval of the best counterargument without prior topic knowledge

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:16.292437Z

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=2026-08-07T05:40:12.476133Z digest=sha256:78805d4d33f4d5ccd2dc487b59dd9bfc94b916dde3b31c74f5197aded3d7c9ca

Observation 95d224e1-6af7-4746-b0c8-765ef98701f0 · outbound

This paper cites Www’18 open challenge: financial opinion mining and question answering.

LGAI-EMBEDDING-Preview Technical Report Www’18 open challenge: financial opinion mining and question answering

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:16.266265Z

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=2026-08-07T05:40:12.577505Z digest=sha256:c8a3427be09ce214a4c579b98f3b93203694e6c740603e45dfba7da93e702ed0

Observation 5fa4ab7b-4240-47c7-b82b-a90e735c076a · outbound

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

LGAI-EMBEDDING-Preview Technical Report FEVER: a large-scale dataset for Fact Extraction and VERification

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:12.665927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:12.665927Z digest=sha256:d5797453dfb93018fbc6bbf0a1c1b909e13b5f74b857514aa5ca5737adece230

Observation f03c73c1-0678-4b72-85a4-7ecc10f563ef · outbound

This paper cites Natural Language Understanding with the Quora Question Pairs Dataset.

LGAI-EMBEDDING-Preview Technical Report Natural Language Understanding with the Quora Question Pairs Dataset

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:12.755064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:12.755064Z digest=sha256:c67fed0620183ef6766c849d8728810f788e3e19629cc6a0173a4750024ea431

Observation 953f96ec-e12a-4079-afdf-00c154ac1a05 · outbound

This paper cites I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Reviews.

LGAI-EMBEDDING-Preview Technical Report I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Reviews

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:12.838844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:12.838844Z digest=sha256:e9a00b113ef53614531e7ef4af48efb396c56aade657a6616cbb8cd2c825bf3b

Observation c02a87eb-4f77-402c-89d4-b41a79108ef2 · outbound

This paper cites Hidden factors and hidden topics: understanding rating dimensions with review text.

LGAI-EMBEDDING-Preview Technical Report Hidden factors and hidden topics: understanding rating dimensions with review text

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:12.931004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:12.931004Z digest=sha256:af67a351902a3a59a0e1d95320ab53acd90a47537d2268f5fc2e08668b6f138b

Observation 0953eaef-797e-418d-ade0-1836b05f5a21 · outbound

This paper cites Efficient Intent Detection with Dual Sentence Encoders.

LGAI-EMBEDDING-Preview Technical Report Efficient Intent Detection with Dual Sentence Encoders

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:12.995035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:12.995035Z digest=sha256:3f724c67a4b92c6904dfe1eaae9bdf8fe81db72c4dc64a35396afe3cd7770b47

Observation 5d58ba94-729c-4236-8e0f-8e72b7ab1144 · outbound

This paper cites Carer: Contextualized affect representations for emotion recognition.

LGAI-EMBEDDING-Preview Technical Report Carer: Contextualized affect representations for emotion recognition

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:16.214844Z

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=2026-08-07T05:40:13.075799Z digest=sha256:943ac98e5c5048d08a2f5b4ab973e499479da8cb75033c3f4536a33c1661589f

Observation 8e43af7e-71cb-4e77-9a7d-a255a11b14e9 · outbound

This paper cites Learning word vectors for sentiment analysis.

LGAI-EMBEDDING-Preview Technical Report Learning word vectors for sentiment analysis

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:13.173755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:13.173755Z digest=sha256:836becd74a3628989abaa8a24042971723b5df40f5412c564767f208bca2305f

Observation a6434b6f-c310-4e31-a372-ec5ecddabd6e · outbound

This paper cites MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark.

LGAI-EMBEDDING-Preview Technical Report MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:13.274816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:13.274816Z digest=sha256:bc5475f3ab3cf42ae5c64f1ef0474b53574d0e80ea00ede5459ff9e449ce311b

Observation 4c2c4071-36a2-4185-b3af-d3797ea0dc91 · outbound

This paper cites Jigsaw unintended bias in toxicity classification.

LGAI-EMBEDDING-Preview Technical Report Jigsaw unintended bias in toxicity classification

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:16.173167Z

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=2026-08-07T05:40:13.478840Z digest=sha256:133ce9990bc2dd815cb89044efa1703dafe993ac2541134590c804d88061e313

Observation a8464635-5703-43af-9ad4-8d4c77ffb796 · outbound

This paper cites Tweet sentiment extraction.

LGAI-EMBEDDING-Preview Technical Report Tweet sentiment extraction

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:16.149358Z

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=2026-08-07T05:40:13.675156Z digest=sha256:f65de7e41ff76dc8e693b9dadde246230a8f4f9195d0d47a359b112891fec64b

Observation 1de75beb-e238-44e1-88f7-5a15ba2ccc0a · outbound

This paper cites Newsweeder: Learning to filter netnews.

LGAI-EMBEDDING-Preview Technical Report Newsweeder: Learning to filter netnews

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:16.122830Z

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=2026-08-07T05:40:13.790995Z digest=sha256:6cbb2d7aa53437ac281b63db168383523de7a0090d52c8541dfceea7b3733560

Observation 7458100d-e194-45a8-9ade-2773df076522 · outbound

This paper cites TWEAC: Transformer with Extendable QA Agent Classifiers.

LGAI-EMBEDDING-Preview Technical Report TWEAC: Transformer with Extendable QA Agent Classifiers

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:13.868385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:13.868385Z digest=sha256:8b7d6c226b05d5cb2271fe8aa8c3fc7863516cec2bf3995d47435a49031d9384

Observation 7e0b1e3d-8dc9-41cf-9a1d-0eb48cc7b8b6 · outbound

This paper cites SPECTER: Document-level Representation Learning using Citation-informed Transformers.

LGAI-EMBEDDING-Preview Technical Report SPECTER: Document-level Representation Learning using Citation-informed Transformers

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:13.914876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:13.914876Z digest=sha256:bc55409ee9d1625b188f18af2c52ca6e4e4a0888189a0fa6edc57230783158ba

Observation 00aebe45-7688-4dea-87ca-ba854a21f955 · outbound

This paper cites Linkso: a dataset for learning to retrieve similar question answer pairs on software development forums.

LGAI-EMBEDDING-Preview Technical Report Linkso: a dataset for learning to retrieve similar question answer pairs on software development forums

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:16.091475Z

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=2026-08-07T05:40:13.952673Z digest=sha256:b155b05e361607480afbe19433ddedb0069c9c4168ec7427a8d9e5ede2af1bd8

Observation 13c9e564-1c14-4311-b393-2f61202fb648 · outbound

This paper cites Semeval-2012 task 6: A pilot on semantic textual similarity.* sem 2012: The first joint conference on lexical and computational semantics—.

LGAI-EMBEDDING-Preview Technical Report Semeval-2012 task 6: A pilot on semantic textual similarity.* sem 2012: The first joint conference on lexical and computational semantics—

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:16.059820Z

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=2026-08-07T05:40:14.018424Z digest=sha256:5736fb5ff45b50ea3d9b598e85419767b73f3064df6757d841668eda2143bcb6

Observation 46371359-8ba3-486b-9241-71e20649a297 · outbound

This paper cites Hale, David Jurgens, and Mattia Samory.

LGAI-EMBEDDING-Preview Technical Report Hale, David Jurgens, and Mattia Samory

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:16.024585Z

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=2026-08-07T05:40:14.076165Z digest=sha256:f9481d56f80a379ec3e97d9b090b3414744150264b06b71f278470ade03071f2

Observation b032c617-5e51-454f-95d6-0ae94a10dd6f · outbound

This paper cites Anna: Enhanced language representation for question answering.ACL 2022, page 121, 2022.

LGAI-EMBEDDING-Preview Technical Report Anna: Enhanced language representation for question answering.ACL 2022, page 121, 2022

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:15.993491Z

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=2026-08-07T05:40:14.173184Z digest=sha256:90074fc458df0e623504d77f289467a7dfb5211e5d15f87980bf6ab556db5cba

Observation dc000300-14fb-4309-b7a7-6bbaa5c6e7b0 · outbound

This paper cites Reciprocal rank fusion outperforms condorcet and individual rank learning methods.

LGAI-EMBEDDING-Preview Technical Report Reciprocal rank fusion outperforms condorcet and individual rank learning methods

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:15.942290Z

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=2026-08-07T05:40:14.273894Z digest=sha256:65c8f230d840f0a305e95b4c1c12bdd59811a10c350b5cff53531f0f923738ed

Observation ec845dcd-bd77-4f15-8d80-4dbee57df2e9 · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

LGAI-EMBEDDING-Preview Technical Report Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:14.438966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:14.438966Z digest=sha256:23f32bd9043a3d8fde89dc5c85d72788116c41bc648a3339e19c2a183c4144f0

Observation 4da366ca-01d0-4ba6-ba12-768fcf8cf22c · outbound

This paper cites an unresolved cited work.

LGAI-EMBEDDING-Preview Technical Report Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:14.533308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:14.533308Z digest=sha256:38d6413bab0e2dd02a5fe4f7ca00db9a1d4981d857151ddf20f8dbe2a74694c3

Observation c8abb780-f81e-475e-8322-58fcb101fc94 · outbound

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

LGAI-EMBEDDING-Preview Technical Report NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:14.613578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:14.613578Z digest=sha256:377c7896532536462d73d3d156f78d990bce716ebbf7434f5e1cb66a938a2a4e

Observation 58c78ecd-e829-467d-946b-aeae6e5a9653 · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.

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Reference 37

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LGAI-EMBEDDING-Preview Technical Report Agreement

Reference 38

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Pith citing papers

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QZhou-Embedding Technical Report cites this paper.

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

Reference 17

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

ARHN: Answer-Centric Relabeling of Hard Negatives with Open-Source LLMs for Dense Retrieval LGAI-EMBEDDING-Preview Technical Report

Reference 4

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verified exact
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