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Paper Citation Record · LEDGER

LGAI-EMBEDDING-Preview Technical Report

As of 15 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 2026-08-15T06:32:42.880941+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:a4a1ea18c61f6e060ae655e020de8381c71c0197d2f635b4edf0e09383668396

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=sha256:6f1f9a6ca005a8b6a50546c3bf45b37743719c9c9f83703d3acf4abcfaea086f

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:ba706e3e047a398cec2edc5ddf058a6ad8120f252fb298cddb0028a93440f631

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=sha256:899d2854ff10fb7c988fe143ed5f7d357ffcc99dda83649c6c982b248161747e

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=sha256:504f9f9cf2b852e656f7c877d77fb90f128ea767e5c4f9dcfbb696c7f1e79a01

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T05:40:11.545566Z digest=sha256:df6240e1e9392aef7b8ccc6bd7890eb7270eb4091dc9cf5b37fbc9176c58a195

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=sha256:1fe75465fb4c5409f6dede236bc114aa58dd86716d18504a234cd14348892c7c

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:d7dc31ac8e6c3c8c4530a1b44de558f4d76bfa8c995c1dd4f660bab88e68d549

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=sha256:45b81e452d077f6682297289ebf48f8b59ee92dc0c3ee4cd98b6d16d0f701b0a

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=sha256:1b8c0cc4297c5d73d68b617e6dc7836e915b763dd11e8acdd1985091ca617d8b

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=sha256:6a20ad55f07ae404c66dbbc8bc2bf52e6536c65d0adbd7d38363c881ece446d1

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:d2f185b58def93272307f586ed097bc806de79c995adc2e3093eb1182bdbb1cc

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=sha256:06407b327e54084f5d654663dd5bf00eb01a29abc40fe75b49d3a621b7cbba72

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T05:40:12.476133Z digest=sha256:a157a909f455454b439d9c076347553313d321d633beea7832abaa7b6d5f8218

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T05:40:12.577505Z digest=sha256:fb0cc150a096ef7e1765de3442edaaf0e576f5d2071674d7a2a04549fd58db84

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=sha256:698101d491ebd7f76b1a1c23c787a7eb5ba7c7c59913e9d367e8b2d5fe8d5620

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:b0bd06147cf197afedaa8b25d6037088063c0158a21cd5cec08a101e067e1f58

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:be7c6b72f19d92f8604f09b863c4ff8ac7683f8ad22f5bf82b70282d45b6168d

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:a3fcf2ec948631ede795c50c0de8104d3965d3d654184b37c2964920592a10e5

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:dda398b1e13108a9e40918130f4985305c9383676d0a2f3ad8ef77cc2e0e001d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T05:40:13.075799Z digest=sha256:002e55aba282268de07ab18b144688c25781a961ed1cdce9f9d3db6c9bc31eba

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=sha256:9268fd4373c0845ba7b13792e4e3b19ff8789632cfe1003d4b1387a4e98b72ce

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=sha256:7ea3c03679c14bc07d091cd701aa4e0315a0eacddc05b1ccee400de034de7dbc

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T05:40:13.478840Z digest=sha256:c954203c97c49d212347af9a43ae624d59496c7a42747e419d7a9ceacea9706b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T05:40:13.675156Z digest=sha256:b702114262b200fd41ff947d3e441f39bf6089ef7d8ad4a37128c7d5d2b95702

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T05:40:13.790995Z digest=sha256:b4ccf7e6c48edb0ecd0d76d82dbc6745df7c4dadcba60fb682565625da265de2

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=sha256:8eaf23139440046c8f7e63ecf798e928ee9af900d01c617277fa6a3e534a57fc

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=sha256:2b14c4bc97fd92ac85ba844a0d19472f71ef2482d44f4915ff8da58a753d00a5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T05:40:13.952673Z digest=sha256:d4780270a5192be80c4fc12c0f5ce2e31fe6a6a6865f03bac0fb70754c081cb3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T05:40:14.018424Z digest=sha256:56922263f9286bd93580a30be09106eee4cd86bae75f142be2842862a375f7bf

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T05:40:14.076165Z digest=sha256:6a401e8197e2108e8898bf48992c018b86d824a619039a1ef327e6e67b17e000

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T05:40:14.173184Z digest=sha256:557184cf17f3f3e4954442a5e43e0bd6ae974ac43e065dc35d54283f9aa53971

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T05:40:14.273894Z digest=sha256:e73c69a49a29e50d0ba5eb096a7658237a456ad529d1605818765b9373831abc

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:ed91b6bc3d669d59dcfc8f003ee1f1e80d479b432e1eb7c2d685715fde0b891f

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=sha256:442e0f6b9b30fe10ebdf7ff2c71d654049074d27685b479036b5c169a0f6597a

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=sha256:320af47ebbc8d775eba6091849a248e0f9cca480ac8309895e525987d1446cbb

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

LGAI-EMBEDDING-Preview Technical Report Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022

Reference 37

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This paper cites Agreement.

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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