Paper Citation Record · LEDGER

Text and Code Embeddings by Contrastive Pre-Training

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 78 inbound Pith citation observations for arXiv:2201.10005.

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

pith.paper-citation-record.v1
2201.10005 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T19:24:11.907204Z

measured 106 of 106 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 78 of 78 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:37:35.356604Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

28 of 28 outbound references displayed

verified exact22
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch6

External citation measurements

151
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 9859903a-28f8-4f62-a559-12d723f3133b · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Text and Code Embeddings by Contrastive Pre-Training Evaluating Large Language Models Trained on Code

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:24:11.939164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a210d75e-11c5-4463-8042-f5158aa1e5a3 · outbound

This paper cites SentEval: An Evaluation Toolkit for Universal Sentence Representations.

Text and Code Embeddings by Contrastive Pre-Training SentEval: An Evaluation Toolkit for Universal Sentence Representations

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:24:11.946926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a03745c2-a5bb-4e39-aa27-f0ac42b8b29b · outbound

This paper cites CERT: Contrastive Self-supervised Learning for Language Understanding.

Text and Code Embeddings by Contrastive Pre-Training CERT: Contrastive Self-supervised Learning for Language Understanding

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:24:11.954169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 318fc45f-7bdc-4340-a5ce-082ed7a0255a · outbound

This paper cites SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval.

Text and Code Embeddings by Contrastive Pre-Training SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:24:11.962077Z

Source-reported events for the cited work

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Observation 8002697a-d78c-43ad-b0a8-8b4c2bc8a92e · outbound

This paper cites REALM: Retrieval-Augmented Language Model Pre-Training.

Text and Code Embeddings by Contrastive Pre-Training REALM: Retrieval-Augmented Language Model Pre-Training

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:24:11.968679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e230ca38-a544-4fc1-80e8-3da9d36b0282 · outbound

This paper cites Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling.

Text and Code Embeddings by Contrastive Pre-Training Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:24:11.975537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2637c429-bd7d-4a01-8ddb-638363030508 · outbound

This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

Text and Code Embeddings by Contrastive Pre-Training CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:24:11.981764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6ab58492-5564-4300-b239-999aef83f48e · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

Text and Code Embeddings by Contrastive Pre-Training Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:24:11.987774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c94558b7-d9a9-4e23-b36b-ef6c1313f053 · outbound

This paper cites Supervised Contrastive Learning.

Text and Code Embeddings by Contrastive Pre-Training Supervised Contrastive Learning

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:24:11.995198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c409de35-7eb1-47e4-9a61-3fdbbc9dc980 · outbound

This paper cites Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations.

Text and Code Embeddings by Contrastive Pre-Training Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:24:12.000715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dde256fc-9f6d-475a-9589-44e54120cb74 · outbound

This paper cites ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks.

Text and Code Embeddings by Contrastive Pre-Training ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:24:12.008090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c7e01953-3f39-4b85-b783-a8eca9940ac1 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Text and Code Embeddings by Contrastive Pre-Training Efficient Estimation of Word Representations in Vector Space

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:24:12.014338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 16808cff-4b3f-4788-b5a1-791220d4a491 · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

Text and Code Embeddings by Contrastive Pre-Training MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:24:12.020327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3f669b0a-ac0d-41f7-9e6e-970b0c6cc9d9 · outbound

This paper cites Multi-Stage Document Ranking with BERT.

Text and Code Embeddings by Contrastive Pre-Training Multi-Stage Document Ranking with BERT

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:24:12.027637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ea90e943-4f33-4574-a42b-2cf64b4103d5 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Text and Code Embeddings by Contrastive Pre-Training Learning Transferable Visual Models From Natural Language Supervision

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T19:24:12.033622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 01c40352-740d-4696-aee3-84a093227aac · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Text and Code Embeddings by Contrastive Pre-Training Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:24:12.039582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0b517447-822b-4ca2-8206-da8b21c1210e · outbound

This paper cites Zero-Shot Text-to-Image Generation.

Text and Code Embeddings by Contrastive Pre-Training Zero-Shot Text-to-Image Generation

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:24:12.045243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d2c6ff5-4685-4741-932f-2b92ecdf098e · outbound

This paper cites Gender Bias in Coreference Resolution.

Text and Code Embeddings by Contrastive Pre-Training Gender Bias in Coreference Resolution

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:24:12.050881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7015b27b-20c6-47b5-8bb6-f7c3657f9e82 · outbound

This paper cites ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction.

Text and Code Embeddings by Contrastive Pre-Training ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:24:12.058199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d39b57eb-9503-4404-8287-f1ea14b44378 · outbound

This paper cites A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation.

Text and Code Embeddings by Contrastive Pre-Training A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:24:12.064449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 84d67cf1-2f9a-41bd-94b1-0eb75b3c700a · outbound

This paper cites Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets.

Text and Code Embeddings by Contrastive Pre-Training Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:24:12.070913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 53b18c2b-714e-40d2-87af-8606f538617c · outbound

This paper cites Whitening Sentence Representations for Better Semantics and Faster Retrieval.

Text and Code Embeddings by Contrastive Pre-Training Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:24:12.078123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 26a18e11-b72b-4575-b765-b819bc20598a · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

Text and Code Embeddings by Contrastive Pre-Training WaveNet: A Generative Model for Raw Audio

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:24:12.083924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 71c06f4b-bf5e-49c8-83ac-1abad5a63ead · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Text and Code Embeddings by Contrastive Pre-Training Representation Learning with Contrastive Predictive Coding

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:24:12.090409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 47aea88e-a2e7-4f7d-aa72-fda845589275 · outbound

This paper cites MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers.

Text and Code Embeddings by Contrastive Pre-Training MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:24:12.097483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2fae0836-11fc-4ae8-b38a-5078b79b95b1 · outbound

This paper cites EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks.

Text and Code Embeddings by Contrastive Pre-Training EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:24:12.104897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 88713617-b343-42e2-83df-d343dece17f5 · outbound

This paper cites Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval.

Text and Code Embeddings by Contrastive Pre-Training Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:24:12.112264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f1e6aa0e-0d99-4782-b9ff-e645313402b5 · outbound

This paper cites Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.

Text and Code Embeddings by Contrastive Pre-Training Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:24:12.118865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 768e7bfa-9298-4368-bc61-b03f4e1e04bd · inbound

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

Text Embeddings by Weakly-Supervised Contrastive Pre-training Text and Code Embeddings by Contrastive Pre-Training

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:24:12.120554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0ebf4639-30bf-4c21-a12d-df9ce4e48856 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models Text and Code Embeddings by Contrastive Pre-Training

Reference 129

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:24:12.120554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 457d0a50-ad18-454c-a841-f60abff2dce5 · inbound

ChemCrow: Augmenting large-language models with chemistry tools cites this paper.

ChemCrow: Augmenting large-language models with chemistry tools Text and Code Embeddings by Contrastive Pre-Training

Reference 82

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:24:12.120554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b42b6b18-091f-43b7-a110-0ab34cd0ef93 · inbound

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

Towards General Text Embeddings with Multi-stage Contrastive Learning Text and Code Embeddings by Contrastive Pre-Training

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:24:12.120554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d22d7cd9-4bae-4e08-9140-9f48216f0603 · inbound

C-Pack: Packed Resources For General Chinese Embeddings cites this paper.

C-Pack: Packed Resources For General Chinese Embeddings Text and Code Embeddings by Contrastive Pre-Training

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:24:12.120554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 101401fe-9f88-4029-97ad-d8e4d53d86bd · inbound

RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze! cites this paper.

RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze! Text and Code Embeddings by Contrastive Pre-Training

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-15T23:40:11.115188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac6caedf-b36b-4f0c-b27b-ec09d9d21acb · inbound

Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning cites this paper.

Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning Text and Code Embeddings by Contrastive Pre-Training

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-24T04:33:53.924840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b570ebd5-b449-4857-bac5-d99d08712fce · inbound

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

M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation Text and Code Embeddings by Contrastive Pre-Training

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:24:12.120554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 98bf45f6-0034-4f1e-a266-f5ab7ed04434 · inbound

The Platonic Representation Hypothesis cites this paper.

The Platonic Representation Hypothesis Text and Code Embeddings by Contrastive Pre-Training

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:24:12.120554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6d504cf6-3164-4d65-b589-de4899d5c777 · inbound

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

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models Text and Code Embeddings by Contrastive Pre-Training

Reference 105

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:24:12.120554Z

Source-reported events for the cited work

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Observation 1fb1fab3-2e2b-4d93-a6a3-e81221b6b99a · inbound

TouchAI: Exploring human-AI perceptual alignment in touch through language model representations cites this paper.

TouchAI: Exploring human-AI perceptual alignment in touch through language model representations Text and Code Embeddings by Contrastive Pre-Training

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-05-24T00:05:52.697102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c122d051-8a85-4480-b7d0-b37cdc6282fa · inbound

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models cites this paper.

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models Text and Code Embeddings by Contrastive Pre-Training

Reference 77

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T06:38:36.779233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 98e9f8be-1a1d-4794-adca-e4a5f0320b31 · inbound

Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width cites this paper.

Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width Text and Code Embeddings by Contrastive Pre-Training

Reference 2022

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Source-reported events for the cited work

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Observation 50358d9f-f016-442e-9052-86bcaca55e9f · inbound

Examining the Robustness of Large Language Models across Language Complexity cites this paper.

Examining the Robustness of Large Language Models across Language Complexity Text and Code Embeddings by Contrastive Pre-Training

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T22:43:11.730510Z

Source-reported events for the cited work

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Observation e546461d-6d9f-4bbb-a21a-237d0f21d734 · inbound

Intent Representation Learning with Large Language Model for Recommendation cites this paper.

Intent Representation Learning with Large Language Model for Recommendation Text and Code Embeddings by Contrastive Pre-Training

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T05:15:43.467725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f81aea4-f4bd-47fb-b0b5-8524b408cd3c · inbound

The Odyssey of the Fittest: Can Agents Survive and Still Be Good? cites this paper.

The Odyssey of the Fittest: Can Agents Survive and Still Be Good? Text and Code Embeddings by Contrastive Pre-Training

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:42.460838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6386343-33fb-412b-b180-935a959aca80 · inbound

CliniQ: A Multi-faceted Benchmark for Electronic Health Record Retrieval with Semantic Match Assessment cites this paper.

CliniQ: A Multi-faceted Benchmark for Electronic Health Record Retrieval with Semantic Match Assessment Text and Code Embeddings by Contrastive Pre-Training

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T16:19:07.284455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a71999e-fbdb-43a6-9b5d-6c20c04b0ab5 · inbound

O1 Embedder: Let Retrievers Think Before Action cites this paper.

O1 Embedder: Let Retrievers Think Before Action Text and Code Embeddings by Contrastive Pre-Training

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.307796Z

Source-reported events for the cited work

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Observation 771ab388-79c6-42f3-be1a-e95e615f0df5 · inbound

Scaling Natural-Language Graph-Based Test Time Compute for Automated Theorem Proving cites this paper.

Scaling Natural-Language Graph-Based Test Time Compute for Automated Theorem Proving Text and Code Embeddings by Contrastive Pre-Training

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T13:35:26.417922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56d43bc2-ef0e-4f3f-9c00-d46d6b6fb7a9 · inbound

OpenClassGen: A Large-Scale Corpus of Real-World Python Classes for LLM Research cites this paper.

OpenClassGen: A Large-Scale Corpus of Real-World Python Classes for LLM Research Text and Code Embeddings by Contrastive Pre-Training

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:24:12.120554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1dd57989-342e-4542-8618-b1eba93b7140 · inbound

Prompt Injection Attack to Tool Selection in LLM Agents cites this paper.

Prompt Injection Attack to Tool Selection in LLM Agents Text and Code Embeddings by Contrastive Pre-Training

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-16T17:08:29.103195Z

Source-reported events for the cited work

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Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds Text and Code Embeddings by Contrastive Pre-Training

Reference 27

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MIRB: Mathematical Information Retrieval Benchmark Text and Code Embeddings by Contrastive Pre-Training

Reference 27

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Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations cites this paper.

Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations Text and Code Embeddings by Contrastive Pre-Training

Reference 81

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RankLLM: A Python Package for Reranking with LLMs cites this paper.

RankLLM: A Python Package for Reranking with LLMs Text and Code Embeddings by Contrastive Pre-Training

Reference 36

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VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries Text and Code Embeddings by Contrastive Pre-Training

Reference 78

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GEM: Empowering LLM for both Embedding Generation and Language Understanding cites this paper.

GEM: Empowering LLM for both Embedding Generation and Language Understanding Text and Code Embeddings by Contrastive Pre-Training

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FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models cites this paper.

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Reference 2022

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Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning cites this paper.

Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning Text and Code Embeddings by Contrastive Pre-Training

Reference 70

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Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings cites this paper.

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DeepRTL2: A Versatile Model for RTL-Related Tasks cites this paper.

DeepRTL2: A Versatile Model for RTL-Related Tasks Text and Code Embeddings by Contrastive Pre-Training

Reference 30

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A Large-Scale Real-World Evaluation of LLM-Based Virtual Teaching Assistant cites this paper.

A Large-Scale Real-World Evaluation of LLM-Based Virtual Teaching Assistant Text and Code Embeddings by Contrastive Pre-Training

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NDAI-NeuroMAP: A Neuroscience-Specific Embedding Model for Domain-Specific Retrieval cites this paper.

NDAI-NeuroMAP: A Neuroscience-Specific Embedding Model for Domain-Specific Retrieval Text and Code Embeddings by Contrastive Pre-Training

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Heterogeneous User Modeling for LLM-based Recommendation cites this paper.

Heterogeneous User Modeling for LLM-based Recommendation Text and Code Embeddings by Contrastive Pre-Training

Reference 2022

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Enhancing RLHF with Human Gaze Modeling cites this paper.

Enhancing RLHF with Human Gaze Modeling Text and Code Embeddings by Contrastive Pre-Training

Reference 38

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From Neurons to Semantics: Evaluating Cross-Linguistic Alignment Capabilities of Large Language Models via Neurons Alignment cites this paper.

From Neurons to Semantics: Evaluating Cross-Linguistic Alignment Capabilities of Large Language Models via Neurons Alignment Text and Code Embeddings by Contrastive Pre-Training

Reference 42

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Designing Memory-Augmented AR Agents for Spatiotemporal Reasoning in Personalized Task Assistance cites this paper.

Designing Memory-Augmented AR Agents for Spatiotemporal Reasoning in Personalized Task Assistance Text and Code Embeddings by Contrastive Pre-Training

Reference 34

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Functional Consistency of LLM Code Embeddings: A Self-Evolving Data Synthesis Framework for Benchmarking cites this paper.

Functional Consistency of LLM Code Embeddings: A Self-Evolving Data Synthesis Framework for Benchmarking Text and Code Embeddings by Contrastive Pre-Training

Reference 54

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Granite Embedding R2 Models cites this paper.

Granite Embedding R2 Models Text and Code Embeddings by Contrastive Pre-Training

Reference 41

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Observation 054c84ad-7251-419a-b35d-99c3405bb0cd · inbound

Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings cites this paper.

Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings Text and Code Embeddings by Contrastive Pre-Training

Reference 20

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Observation 3be2386e-4077-4489-9e13-0ea023e96379 · inbound

IDEAlign: Comparing Large Language Models to Human Experts in Open-ended Interpretive Annotations cites this paper.

IDEAlign: Comparing Large Language Models to Human Experts in Open-ended Interpretive Annotations Text and Code Embeddings by Contrastive Pre-Training

Reference 33

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Observation 41300fd1-c849-4c18-bae7-e48ee9f72630 · inbound

ALPHA: LLM-Enabled Active Learning for Human-Free Network Anomaly Detection cites this paper.

ALPHA: LLM-Enabled Active Learning for Human-Free Network Anomaly Detection Text and Code Embeddings by Contrastive Pre-Training

Reference 27

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LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations cites this paper.

LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations Text and Code Embeddings by Contrastive Pre-Training

Reference 24

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Observation 9c6ecd00-f4f3-434f-99df-b8ac07f8c7c1 · inbound

EmbeddingGemma: Powerful and Lightweight Text Representations cites this paper.

EmbeddingGemma: Powerful and Lightweight Text Representations Text and Code Embeddings by Contrastive Pre-Training

Reference 17

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Observation 2a11b54e-21ca-4636-92e9-a24caecd6482 · inbound

Panorama: Fast-Track Nearest Neighbors cites this paper.

Panorama: Fast-Track Nearest Neighbors Text and Code Embeddings by Contrastive Pre-Training

Reference 44

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Observation 377ff3e3-c886-4540-91cf-adecfb411222 · inbound

Mapping Scientific Literature with Large Language Models and Topic Modeling cites this paper.

Mapping Scientific Literature with Large Language Models and Topic Modeling Text and Code Embeddings by Contrastive Pre-Training

Reference 50

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Unavailable: canonical work link unavailable.

Observation b64cd8af-1aa8-48e0-bdd7-880d92c77b32 · inbound

Forget BIT, It is All about TOKEN: Towards Semantic Information Theory for LLMs cites this paper.

Forget BIT, It is All about TOKEN: Towards Semantic Information Theory for LLMs Text and Code Embeddings by Contrastive Pre-Training

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:55:38.215990Z

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Observation 4c2479a9-ef27-496e-8a30-125d46302b28 · inbound

PiPNN: Ultra-Scalable Graph-Based Nearest Neighbor Indexing cites this paper.

PiPNN: Ultra-Scalable Graph-Based Nearest Neighbor Indexing Text and Code Embeddings by Contrastive Pre-Training

Reference 2022

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Web Retrieval-Aware Chunking (W-RAC) for Efficient and Cost-Effective Retrieval-Augmented Generation Systems cites this paper.

Web Retrieval-Aware Chunking (W-RAC) for Efficient and Cost-Effective Retrieval-Augmented Generation Systems Text and Code Embeddings by Contrastive Pre-Training

Reference 16

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Observation 955ec4d4-6fbb-4d7f-85a5-7198f6974de4 · inbound

DIAURec: Dual-Intent Space Representation Optimization for Recommendation cites this paper.

DIAURec: Dual-Intent Space Representation Optimization for Recommendation Text and Code Embeddings by Contrastive Pre-Training

Reference 32

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Observation 9e11727c-7431-4d50-982a-f7fb621a0dc0 · inbound

LLMs Corrupt Your Documents When You Delegate cites this paper.

LLMs Corrupt Your Documents When You Delegate Text and Code Embeddings by Contrastive Pre-Training

Reference 63

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Observation ecfb661b-21c1-4732-993b-2dcc06451df9 · inbound

Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking cites this paper.

Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking Text and Code Embeddings by Contrastive Pre-Training

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:24:12.120554Z

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Observation 9fc25952-4204-4b4b-86a0-9925cb5b4682 · inbound

Beyond Text-Dominance: Understanding Modality Preference of Omni-modal Large Language Models cites this paper.

Beyond Text-Dominance: Understanding Modality Preference of Omni-modal Large Language Models Text and Code Embeddings by Contrastive Pre-Training

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:24:12.120554Z

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Observation 2e2be2f6-c56b-410c-ba31-6a44dd6d0ef2 · inbound

ImproBR: Bug Report Improver Using LLMs cites this paper.

ImproBR: Bug Report Improver Using LLMs Text and Code Embeddings by Contrastive Pre-Training

Reference 23

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Query-efficient model evaluation using cached responses cites this paper.

Query-efficient model evaluation using cached responses Text and Code Embeddings by Contrastive Pre-Training

Reference 104

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:24:12.120554Z

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Observation 29abe7be-cd03-41d2-b5e6-6cabb34191a3 · inbound

GenAI Powered Dynamic Causal Inference with Unstructured Data cites this paper.

GenAI Powered Dynamic Causal Inference with Unstructured Data Text and Code Embeddings by Contrastive Pre-Training

Reference 6

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Observation d09df841-1e59-46a7-9b1c-7307c3208f27 · inbound

SimReg: Achieving Higher Performance in the Pretraining via Embedding Similarity Regularization cites this paper.

SimReg: Achieving Higher Performance in the Pretraining via Embedding Similarity Regularization Text and Code Embeddings by Contrastive Pre-Training

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:24:12.120554Z

Source-reported events for the cited work

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Granite Embedding Multilingual R2 Models cites this paper.

Granite Embedding Multilingual R2 Models Text and Code Embeddings by Contrastive Pre-Training

Reference 13

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Source-reported events for the cited work

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To MRL or not to MRL: Text Embeddings are Robust to Truncation Without Matryoshka Learning, Except In Heavy Truncation Scenarios cites this paper.

To MRL or not to MRL: Text Embeddings are Robust to Truncation Without Matryoshka Learning, Except In Heavy Truncation Scenarios Text and Code Embeddings by Contrastive Pre-Training

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Resolution: verified exact; local_arxiv, observed 2026-05-20T20:18:59.705508Z

Source-reported events for the cited work

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Observation e3f0c4b1-b636-4da6-b1fd-236ba8dd9020 · inbound

To MRL or not to MRL: Text Embeddings are Robust to Truncation Without Matryoshka Learning, Except In Heavy Truncation Scenarios cites this paper.

To MRL or not to MRL: Text Embeddings are Robust to Truncation Without Matryoshka Learning, Except In Heavy Truncation Scenarios Text and Code Embeddings by Contrastive Pre-Training

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T19:05:00.356915Z

Source-reported events for the cited work

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Observation 8268e52d-8b49-49d7-8ae3-3597e30b4e86 · inbound

Chronicle: A Multimodal Foundation Model for Joint Language and Time Series Understanding cites this paper.

Chronicle: A Multimodal Foundation Model for Joint Language and Time Series Understanding Text and Code Embeddings by Contrastive Pre-Training

Reference 20

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Source-reported events for the cited work

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Observation 4a08152e-59d8-4fae-bb73-e558d27e672e · inbound

Mitigating Label Bias with Interpretable Rubric Embeddings cites this paper.

Mitigating Label Bias with Interpretable Rubric Embeddings Text and Code Embeddings by Contrastive Pre-Training

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:39:41.008045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 331f8f19-4ff0-4f3c-9944-6aba0f2487aa · inbound

UniRTL: Unifying Code and Graph for Robust RTL Representation Learning cites this paper.

UniRTL: Unifying Code and Graph for Robust RTL Representation Learning Text and Code Embeddings by Contrastive Pre-Training

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-06-28T23:52:49.567848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d2ef48e1-1087-4e03-829d-2c6e15d05ede · inbound

Breaking the Information Silo: Semantic Personas for Cross-Domain Recommendation cites this paper.

Breaking the Information Silo: Semantic Personas for Cross-Domain Recommendation Text and Code Embeddings by Contrastive Pre-Training

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T01:06:23.806510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d11b78c0-9f90-4c4e-a9fb-974c8cf23899 · inbound

TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders cites this paper.

TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders Text and Code Embeddings by Contrastive Pre-Training

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:07:30.389724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 937f2807-115a-4cba-9b22-fa188c61ae66 · inbound

Temporal Preference Optimization for Unsupervised Retrieval cites this paper.

Temporal Preference Optimization for Unsupervised Retrieval Text and Code Embeddings by Contrastive Pre-Training

Reference 10

Resolution: malformed identifier; local_arxiv, observed 2026-06-26T23:00:12.940703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 85b310c2-144e-4ef0-8508-560962f920e3 · inbound

Memory Makes the Difference: Evaluating How Different Memory Roles Shape Conversational Agents cites this paper.

Memory Makes the Difference: Evaluating How Different Memory Roles Shape Conversational Agents Text and Code Embeddings by Contrastive Pre-Training

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T19:20:06.940993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ee3e9a8f-6371-4cd5-96d2-c2e1a9ecd479 · inbound

UNICS: Multilingual Code Search via Unified Pseudocode and Contrastive Transfer Learning cites this paper.

UNICS: Multilingual Code Search via Unified Pseudocode and Contrastive Transfer Learning Text and Code Embeddings by Contrastive Pre-Training

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-06-29T04:13:04.993189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e6a8d562-460f-47e8-988d-98e87e8af01b · inbound

Multimodal and Multiscale Spatial-Temporal Semantic Search and Recommendation with AI Foundation Models cites this paper.

Multimodal and Multiscale Spatial-Temporal Semantic Search and Recommendation with AI Foundation Models Text and Code Embeddings by Contrastive Pre-Training

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-06-30T11:34:38.025292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ae1d70b7-eded-4a08-864f-afdacceca6ab · inbound

Multimodal and Multiscale Spatial-Temporal Semantic Search and Recommendation with AI Foundation Models cites this paper.

Multimodal and Multiscale Spatial-Temporal Semantic Search and Recommendation with AI Foundation Models Text and Code Embeddings by Contrastive Pre-Training

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:37:25.320992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation db6cde7b-3bee-4114-97eb-9c19a7bc5c74 · inbound

Semantic insurance pricing with large language models cites this paper.

Semantic insurance pricing with large language models Text and Code Embeddings by Contrastive Pre-Training

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T02:14:11.100313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5c548b9c-3c09-4f9b-b396-2b2e62fdc6ac · inbound

Causal Inference with Video Features as Treatments cites this paper.

Causal Inference with Video Features as Treatments Text and Code Embeddings by Contrastive Pre-Training

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T16:15:06.101926Z

Source-reported events for the cited work

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Observation 0a98fa8c-18a2-44f7-b7a0-cdf31bd750ec · inbound

Evaluating Semantic and Quality-Aware Retrieval for Source Code Repositories cites this paper.

Evaluating Semantic and Quality-Aware Retrieval for Source Code Repositories Text and Code Embeddings by Contrastive Pre-Training

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T05:00:31.977289Z

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Unavailable: canonical work link unavailable.

Observation 4ac5cf49-e02f-493f-aa4c-035cbc7711a9 · inbound

ANNLib: A Development Framework for Efficient Approximate Nearest Neighbor Search cites this paper.

ANNLib: A Development Framework for Efficient Approximate Nearest Neighbor Search Text and Code Embeddings by Contrastive Pre-Training

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T17:38:27.625029Z

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Observation 2a6a50ef-07cf-4c04-bc55-0f593ef1f80a · inbound

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex cites this paper.

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex Text and Code Embeddings by Contrastive Pre-Training

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-31T23:51:52.681696Z

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Observation 49fa7c78-1e1b-446f-8416-c5947ed2c1e4 · inbound

Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders cites this paper.

Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders Text and Code Embeddings by Contrastive Pre-Training

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-01T03:16:00.604092Z

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Observation 80ccdd1e-8bbb-4e7b-ae43-3f679a00cbc1 · inbound

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes cites this paper.

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes Text and Code Embeddings by Contrastive Pre-Training

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T07:49:39.858837Z

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