Paper Citation Record · LEDGER

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

As of 22 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 19 inbound Pith citation observations for arXiv:2411.12644.

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

pith.paper-citation-record.v1
2411.12644 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:24:31.640155Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:34:54.308260Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

44 of 44 outbound references displayed

verified exact3
verified fuzzy12
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 048499af-ef46-4f57-84b0-5ed2605a53ca · outbound

This paper cites V oyage code 2: Elevate your code retrieval.https://blog.voyageai.com/2024/ 01/23/voyage-code-2-elevate-your-code-retrieval/ , January.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval V oyage code 2: Elevate your code retrieval.https://blog.voyageai.com/2024/ 01/23/voyage-code-2-elevate-your-code-retrieval/ , January

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:32.292958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 564a1493-a73a-41b4-a639-6c1446092535 · outbound

This paper cites Reliable, Adaptable, and Attributable Language Models with Retrieval.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Reliable, Adaptable, and Attributable Language Models with Retrieval

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.314762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 463fee90-91f9-4f62-b9bb-a320292348ce · outbound

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

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.319735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51cb0c79-d1ff-4dee-b6a2-def5a2048daf · outbound

This paper cites Are Large Language Models a Threat to Programming Platforms? An Exploratory Study.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Are Large Language Models a Threat to Programming Platforms? An Exploratory Study

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-12T17:24:32.098940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a0d9ce73-fe2b-44ab-8d65-108b9510e2af · outbound

This paper cites Evaluating Large Language Models Trained on Code.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Evaluating Large Language Models Trained on Code

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.338155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a61c8a8f-64ea-41fe-80c8-3106310125b0 · outbound

This paper cites Codebert: A pre-trained model for programming and natural languages.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Codebert: A pre-trained model for programming and natural languages

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:32.256061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 051a26ce-3db9-42ad-ae33-16147718582f · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.350948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65958e08-eb0c-4c09-a375-0adab7e4ff0d · outbound

This paper cites SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-12T17:24:32.057293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ac4430ba-cdbd-4e6e-8980-9e2769fb81b2 · outbound

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

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.360631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f09685a3-ab4e-4686-b492-544adcd3513a · outbound

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

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.373706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8b58b63-8cbb-4e05-a944-c95dcdff56c4 · outbound

This paper cites StarCoder: may the source be with you!.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval StarCoder: may the source be with you!

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.378181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4717bbb9-c64e-4e92-9451-310a321b33d6 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval StarCoder 2 and The Stack v2: The Next Generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.382132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ae72314-0402-4410-beca-8afc89daffd4 · outbound

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

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.533325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a2db939-03e4-473b-be85-2a492bc74a24 · outbound

This paper cites Text and Code Embeddings by Contrastive Pre-Training.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Text and Code Embeddings by Contrastive Pre-Training

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.539608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 783a6483-7dfa-4351-8aa4-b2f422eaf087 · outbound

This paper cites SFR-RAG: Towards Contextually Faithful LLMs.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval SFR-RAG: Towards Contextually Faithful LLMs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.544807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ad96971-f890-4295-89c6-2fb429e1b911 · outbound

This paper cites CodeGen2: Lessons for Training LLMs on Programming and Natural Languages.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.549029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06853f73-c79c-4794-96bd-5b043d0f8f62 · outbound

This paper cites Lost in translation: A study of bugs introduced by large language models while translating code.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Lost in translation: A study of bugs introduced by large language models while translating code

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:32.229274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c6af496b-9c0f-4962-a2c1-34e32825f4b4 · outbound

This paper cites Retrieval augmented code generation and summarization.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Retrieval augmented code generation and summarization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:32.214553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d0fb23ad-6e66-49a4-a9f2-17d50f811f24 · outbound

This paper cites RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.561650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c1376e9-8cc7-4c32-9f3d-4b5af93e6c0d · outbound

This paper cites SweRank: Software Issue Localization with Code Ranking.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval SweRank: Software Issue Localization with Code Ranking

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.565773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b05bdbc8-9e9d-4504-8198-896f6164265d · outbound

This paper cites CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.574171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1563677-e66c-4632-9851-a5d159b45864 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Gemma: Open Models Based on Gemini Research and Technology

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.582577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3304daa2-2833-42b7-8621-066ffa1cecd9 · outbound

This paper cites Redpajama-data-v2: An open dataset with 30 trillion tokens for training large language models, october 2023.URL https://www.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Redpajama-data-v2: An open dataset with 30 trillion tokens for training large language models, october 2023.URL https://www

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:32.200611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 30f41ba1-6cda-43fb-a1f1-0da8397078aa · outbound

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

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.593428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01830aca-4501-45fd-95d6-97f42945af8f · outbound

This paper cites Improving Text Embeddings with Large Language Models.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Improving Text Embeddings with Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.598832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09f92aaa-c9b4-4b8d-9d19-4d1f1c50c16b · outbound

This paper cites Using github copilot to solve simple programming problems.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Using github copilot to solve simple programming problems

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:32.187922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e6d72358-9f27-485e-af00-b1cf239fd30d · outbound

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

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval C-Pack: Packed Resources For General Chinese Embeddings

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.612114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a4f6398-8560-4143-80d3-a8b19b8d9fff · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.616041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3af1863-d2f5-4a17-a7ce-bce82672d30f · outbound

This paper cites Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.620275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbe3ebba-25ff-4487-a171-cf7f02024c5b · outbound

This paper cites Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:32.174423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 841ec972-868a-49ca-8661-05457fc04d77 · outbound

This paper cites Repocoder: Repository-level code completion through iterative retrieval and generation.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Repocoder: Repository-level code completion through iterative retrieval and generation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:32.160513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a5710046-6957-4489-9f68-c22eb08bea8a · outbound

This paper cites Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.631925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 870d9977-0e5e-438c-81a5-402b6336cd59 · outbound

This paper cites A Appendix A.1 Dataset Details Our training dataset contains a total of 3.36M training pairs, covering 12 different programming languages.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval A Appendix A.1 Dataset Details Our training dataset contains a total of 3.36M training pairs, covering 12 different programming languages

Reference 43

Resolution: verified exact; raw_fallback, observed 2026-08-12T17:24:31.759041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ee1e3612-8397-41a5-9a0f-13c5642aef6b · outbound

This paper cites Instruct: Given Code or Text, retrieve relevant content. Query:.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Instruct: Given Code or Text, retrieve relevant content. Query:

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:32.147925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 07a683ea-ba1c-4f0c-a70d-062bf35be11b · outbound

This paper cites CodeRAG-Bench: Can Retrieval Augment Code Generation?.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval CodeRAG-Bench: Can Retrieval Augment Code Generation?

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.602866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2127675e-99f5-48e6-b6be-1c212fc41159 · outbound

This paper cites CodeGemma: Open Code Models Based on Gemma.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval CodeGemma: Open Code Models Based on Gemma

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.578549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f077c834-90c2-49f0-b762-498a3eeffb43 · outbound

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

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.324152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2f6dc27-0136-42d4-a041-3ff1a5870a53 · outbound

This paper cites Scaling deep contrastive learning batch size under memory limited setup.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Scaling deep contrastive learning batch size under memory limited setup

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:32.242705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1dfa3fe2-77f6-47ad-a195-33cddc88838f · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.365024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e974b71-db52-4639-a8a2-f41b8d8dd664 · outbound

This paper cites An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.387476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e2c1697-70de-42ea-b148-8ee75f9b9485 · outbound

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

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval M3-embedding: Multi-linguality, multi-functionality, multi-granularity text embeddings through self-knowledge distillation

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:32.268576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation da6789de-78e9-44d5-bab1-a39881d7692e · outbound

This paper cites Mistral 7B.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Mistral 7B

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.369658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29f643b2-c608-4980-8623-7c10fe269b55 · outbound

This paper cites Emily Judith Arteaga Garcia, João Felipe Nicolaci Pimentel, Zixuan Feng, Marco Gerosa, Igor Steinmacher, and Anita Sarma.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Emily Judith Arteaga Garcia, João Felipe Nicolaci Pimentel, Zixuan Feng, Marco Gerosa, Igor Steinmacher, and Anita Sarma

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:24:32.280948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 16cb8d25-70d7-4da7-847f-3ca005c42ad2 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Code Llama: Open Foundation Models for Code

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-12T17:24:31.570294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 5d8a7f1d-a490-485f-a485-3fa0cb070f39 · inbound

LLMs are Also Effective Embedding Models: An In-depth Overview cites this paper.

LLMs are Also Effective Embedding Models: An In-depth Overview CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.763379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd1f2147-f5b8-4e43-8ce2-4f4fb9d6167a · inbound

Towards A Generalist Code Embedding Model Based On Massive Data Synthesis cites this paper.

Towards A Generalist Code Embedding Model Based On Massive Data Synthesis CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:54.308260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 230e7d92-7b5e-4f82-9aa0-e49f38fd58c1 · inbound

CIDRe: A Reference-Free Multi-Aspect Criterion for Code Comment Quality Measurement cites this paper.

CIDRe: A Reference-Free Multi-Aspect Criterion for Code Comment Quality Measurement CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:48.108430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 239ff50b-86d7-45c4-a43f-1856535876ef · inbound

Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks cites this paper.

Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:37.656335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04279a04-6e3d-4f41-8e20-d41d409b3ac1 · inbound

CodeMirage: A Multi-Lingual Benchmark for Detecting AI-Generated and Paraphrased Source Code from Production-Level LLMs cites this paper.

CodeMirage: A Multi-Lingual Benchmark for Detecting AI-Generated and Paraphrased Source Code from Production-Level LLMs CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:51.004303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d5e7f8d-3dc2-46e0-9ce1-4dff47d0562b · inbound

jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval cites this paper.

jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T18:45:05.959622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce92a16a-6fc3-4ea3-b7d2-5a138ceffabd · inbound

Exploiting Leaderboards for Large-Scale Distribution of Malicious Models cites this paper.

Exploiting Leaderboards for Large-Scale Distribution of Malicious Models CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T18:16:12.368216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 853657e2-7765-468d-b3de-011869464211 · inbound

ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle cites this paper.

ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:48.958144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 524a0937-2b4e-4ad7-a2cc-cce4db8b2995 · inbound

Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding cites this paper.

Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T16:22:50.829373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba36f857-a00b-47e1-a8ca-22dcb266a9ab · inbound

CASP: An evaluation dataset for formal verification of C code cites this paper.

CASP: An evaluation dataset for formal verification of C code CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T16:14:55.526046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b920e36e-bc57-4aff-9d71-05615d529d24 · inbound

GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings cites this paper.

GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T15:57:35.452377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db57d962-9e71-4d4e-b5d6-c54096418d00 · inbound

Can LLMs Deobfuscate Binary Code? A Systematic Analysis of Large Language Models into Pseudocode Deobfuscation cites this paper.

Can LLMs Deobfuscate Binary Code? A Systematic Analysis of Large Language Models into Pseudocode Deobfuscation CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 75

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:35:59.842028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 86f24739-7335-4174-8fe5-d68dda21396c · inbound

Do not copy and paste! Rewriting strategies for code retrieval cites this paper.

Do not copy and paste! Rewriting strategies for code retrieval CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:31:16.111949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 66114e07-859c-4db0-91ac-a6a8664f42a6 · inbound

Not All RAGs Are Created Equal: A Component-Wise Empirical Study for Software Engineering Tasks cites this paper.

Not All RAGs Are Created Equal: A Component-Wise Empirical Study for Software Engineering Tasks CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:53:28.545048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3130b952-792a-4ef1-8b9f-5dcfa7888883 · inbound

Long Live the Librarian! A Persistent Search Sub-Agent for Energy-Efficient Multi-Agent Software Engineering Systems cites this paper.

Long Live the Librarian! A Persistent Search Sub-Agent for Energy-Efficient Multi-Agent Software Engineering Systems CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T10:03:17.158885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation effd2a3e-6f11-4d14-85e3-717a647fe9d0 · inbound

Do Machines Struggle Where Humans Do? LLM and Human Comprehension of Obfuscated Code cites this paper.

Do Machines Struggle Where Humans Do? LLM and Human Comprehension of Obfuscated Code CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T11:35:42.807202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fc379fd5-9f1c-479c-b85f-4364603e3ad0 · inbound

The "I Don't Know" Filter: Enhancing Agentic Reliability in Function Calling cites this paper.

The "I Don't Know" Filter: Enhancing Agentic Reliability in Function Calling CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-11T22:10:22.729188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79d1500f-94e3-4de7-ad4c-355582051aed · inbound

Finding the Right Tables and Columns: A Benchmark and Corpus-Adaptive Embeddings for SQL Schema Retrieval cites this paper.

Finding the Right Tables and Columns: A Benchmark and Corpus-Adaptive Embeddings for SQL Schema Retrieval CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T05:38:04.668615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c62a229a-f16a-481d-a0ff-78a626bf748f · inbound

MM-IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-Level Issue Localization cites this paper.

MM-IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-Level Issue Localization CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T23:55:28.521597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.