Paper Citation Record · LEDGER

LLMs are Also Effective Embedding Models: An In-depth Overview

As of 18 August 2026, this Paper Citation Record lists 100 of 219 outbound references and 14 inbound Pith citation observations for arXiv:2412.12591.

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

pith.paper-citation-record.v1
2412.12591 v2

Coverage vector

measured 100 of 219 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:59:01.788215Z

measured 114 of 114 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:58:38.092374Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:00:08.922822Z

Reference resolution

100 of 219 outbound references displayed

verified exact2
verified fuzzy0
unresolved97
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99763a84-1d1c-440c-af76-b961be5d333b · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

LLMs are Also Effective Embedding Models: An In-depth Overview Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.482408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc008247-9b3c-48c5-b843-8574250a70de · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.485958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fabc00a1-8b16-4e98-865b-8caafa52db11 · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.489261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38953252-5c2f-42c2-8849-c953cbd1496c · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.492115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27caf6c0-33db-4c19-b243-fb9658fdf54c · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.494872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 280f0ff4-4f76-4ca8-9918-cc6827046a98 · outbound

This paper cites PaLM 2 Technical Report.

LLMs are Also Effective Embedding Models: An In-depth Overview PaLM 2 Technical Report

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.497865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8841964-0d67-44f5-b78e-997360959f8d · outbound

This paper cites Current state of LLM Risks and AI Guardrails.

LLMs are Also Effective Embedding Models: An In-depth Overview Current state of LLM Risks and AI Guardrails

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.501021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ec6b4f2-d611-4542-9d9a-79f8f5e8b56f · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

LLMs are Also Effective Embedding Models: An In-depth Overview BEiT: BERT Pre-Training of Image Transformers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.504027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a3b435d-c2d7-4c17-9b96-5cac5e673d95 · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.507188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff273c4-0c02-4302-adb1-231beeea25a0 · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.513049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 903402ed-c614-43b1-9d84-3d7f41fe6d90 · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.518842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07822968-334e-48dc-bb31-1cceeb2ae4de · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.521340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1d20d90-c9c4-4636-9309-fd35eb2ba7bb · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.526879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fa660f2-cee9-49ee-a493-61afde078210 · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.529471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed0ebc9e-ba99-4e2e-9057-0c25e73e19f9 · outbound

This paper cites Swan and ArabicMTEB: Dialect-Aware, Arabic-Centric, Cross-Lingual, and Cross-Cultural Embedding Models and Benchmarks.

LLMs are Also Effective Embedding Models: An In-depth Overview Swan and ArabicMTEB: Dialect-Aware, Arabic-Centric, Cross-Lingual, and Cross-Cultural Embedding Models and Benchmarks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.523910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4759b322-a3d3-41cd-aa1f-88a1d10599d4 · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.534494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03c23e10-4574-4b99-8274-d783dec040ff · outbound

This paper cites TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection.

LLMs are Also Effective Embedding Models: An In-depth Overview TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.537122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e79519f-dc49-42c0-9dc3-4a099e5152b4 · outbound

This paper cites O’Reilly Media, Inc.

LLMs are Also Effective Embedding Models: An In-depth Overview O’Reilly Media, Inc

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.532118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3763ed7c-3f08-445b-889a-4ac8d2b16322 · outbound

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

LLMs are Also Effective Embedding Models: An In-depth Overview M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.542944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 362df445-8930-42d7-ab37-a024df500d0b · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.546007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd083443-59bf-48ef-91d0-1e3573faf223 · outbound

This paper cites Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation Systems.

LLMs are Also Effective Embedding Models: An In-depth Overview Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation Systems

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.539993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d119913-3135-43ed-845a-69269ad61947 · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.551590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51c2f9bd-5185-4d14-90b2-d0411e2c6092 · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

LLMs are Also Effective Embedding Models: An In-depth Overview Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.554473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 475bc801-ad23-4c1e-9580-a023adfbfa13 · outbound

This paper cites LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models.

LLMs are Also Effective Embedding Models: An In-depth Overview LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.548619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeae73ad-4dd7-479a-a12b-1710ebffd8db · outbound

This paper cites MTEB-French: Resources for French Sentence Embedding Evaluation and Analysis.

LLMs are Also Effective Embedding Models: An In-depth Overview MTEB-French: Resources for French Sentence Embedding Evaluation and Analysis

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.560221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c2b4c86-87ee-4e1e-8c15-c8b5ef06e6f2 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

LLMs are Also Effective Embedding Models: An In-depth Overview Unsupervised Cross-lingual Representation Learning at Scale

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.563149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c43d90d3-fa69-4567-b134-ac548c07ff3e · outbound

This paper cites AI Safety in Generative AI Large Language Models: A Survey.

LLMs are Also Effective Embedding Models: An In-depth Overview AI Safety in Generative AI Large Language Models: A Survey

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.557315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 405bb5e0-0e7c-4abc-b58d-634cf09d876f · outbound

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

LLMs are Also Effective Embedding Models: An In-depth Overview BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.568861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7490ae70-85d5-4099-b4f1-ffbec9875e06 · outbound

This paper cites Mistral-SPLADE: LLMs for better Learned Sparse Retrieval.

LLMs are Also Effective Embedding Models: An In-depth Overview Mistral-SPLADE: LLMs for better Learned Sparse Retrieval

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.571370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc163719-59fe-471e-b87e-e3c5efe585c8 · outbound

This paper cites An Improved Text Sentiment Classification Model Using TF-IDF and Next Word Negation.

LLMs are Also Effective Embedding Models: An In-depth Overview An Improved Text Sentiment Classification Model Using TF-IDF and Next Word Negation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.566012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaff5292-9d45-487a-9b2a-18a8bc60a2d7 · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.576933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46785ea4-0e10-4de5-a6c5-ba41e2f1c116 · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.579443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd03f768-b6e5-4463-820a-d87b3ef5e306 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

LLMs are Also Effective Embedding Models: An In-depth Overview An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.574145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3adbb5c-e0a4-47fa-a0bd-a3893fd77957 · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.584720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78c3d775-ce8e-4f2b-b911-ff7d29763394 · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.587683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a68da8be-4b0a-40eb-82b0-0914a71bdc72 · outbound

This paper cites The Llama 3 Herd of Models.

LLMs are Also Effective Embedding Models: An In-depth Overview The Llama 3 Herd of Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.581941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7714b8b8-3e70-41d5-b990-2863a8bf065b · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.592693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44ad456d-7f81-4765-b763-6895a3e2baca · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

LLMs are Also Effective Embedding Models: An In-depth Overview CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.595241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0407724e-28f5-439d-ab29-81acec6e6527 · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.590095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b083e34-510d-413c-912c-915c61e65edd · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.600886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e65426c7-3a45-47da-bff5-df2e1b9e2c3a · outbound

This paper cites Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval.

LLMs are Also Effective Embedding Models: An In-depth Overview Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.603663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9869147-a4dd-492d-a729-0e1f563298a8 · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.598518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ea80eee-0eb3-4886-ae8a-79017e3137fb · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

LLMs are Also Effective Embedding Models: An In-depth Overview Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.608627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d84e6fc-9879-487d-bd1c-a17ea45d0c1c · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.611076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30ea0889-2c10-4768-9b7e-ca045c0d62a4 · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 45

Resolution: malformed identifier; no resolver link, observed 2026-08-11T13:59:01.606239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86356b11-d2ae-4248-84c4-9dd21dc5dd49 · outbound

This paper cites UniXcoder: Unified Cross-Modal Pre-training for Code Representation.

LLMs are Also Effective Embedding Models: An In-depth Overview UniXcoder: Unified Cross-Modal Pre-training for Code Representation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.619190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ceaa312-ae97-4c1f-954a-c2a3c9275fe5 · outbound

This paper cites GraphCodeBERT: Pre-training Code Representations with Data Flow.

LLMs are Also Effective Embedding Models: An In-depth Overview GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.621768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35509918-08ee-47a7-b387-11562a2c0dba · outbound

This paper cites Transforming LLMs into Cross-modal and Cross-lingual Retrieval Systems.

LLMs are Also Effective Embedding Models: An In-depth Overview Transforming LLMs into Cross-modal and Cross-lingual Retrieval Systems

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.613670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a779580-fe49-403d-9856-f8e3403225b1 · outbound

This paper cites Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents.

LLMs are Also Effective Embedding Models: An In-depth Overview Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.616340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 809b4b25-a08d-406c-91dd-e3bc41e6ad55 · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

LLMs are Also Effective Embedding Models: An In-depth Overview MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.629947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a83dbf0-68ff-4f4f-90d3-1d3a6a2331d1 · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

LLMs are Also Effective Embedding Models: An In-depth Overview Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.632472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28941a77-2830-4d34-bc18-31de0b0ef18f · outbound

This paper cites ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings.

LLMs are Also Effective Embedding Models: An In-depth Overview ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.624561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e79f1b41-1b78-45bf-b7da-1c94377a6490 · outbound

This paper cites CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation.

LLMs are Also Effective Embedding Models: An In-depth Overview CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.627246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fab8130-4b85-4703-a58e-c69524509633 · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 54

Resolution: verified exact; doi, observed 2026-08-11T13:59:03.149171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 427df201-dad4-4b7b-ab79-71f1bb892e8c · outbound

This paper cites Mistral 7B.

LLMs are Also Effective Embedding Models: An In-depth Overview Mistral 7B

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.649337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea88a59e-6aea-4f68-8a48-a05c073e2db3 · outbound

This paper cites PromptBERT: Improving BERT Sentence Embeddings with Prompts.

LLMs are Also Effective Embedding Models: An In-depth Overview PromptBERT: Improving BERT Sentence Embeddings with Prompts

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.654886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6698aed2-3ae3-4f43-b80c-a7e9f7c49f25 · outbound

This paper cites an unresolved cited work.

LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.641390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59e9653f-e365-4b0e-bcee-5dc083277361 · outbound

This paper cites InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval.

LLMs are Also Effective Embedding Models: An In-depth Overview InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.643977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 515fdd8b-4cb7-42f9-a8f0-dc20fb0215a7 · outbound

This paper cites ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain.

LLMs are Also Effective Embedding Models: An In-depth Overview ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:01.665456Z

Source-reported events for the cited work

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Reference 62

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LLMs are Also Effective Embedding Models: An In-depth Overview Gemini Embedding: Generalizable Embeddings from Gemini

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LLMs are Also Effective Embedding Models: An In-depth Overview The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 71

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LLMs are Also Effective Embedding Models: An In-depth Overview Building Russian Benchmark for Evaluation of Information Retrieval Models

Reference 73

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Reference 74

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LLMs are Also Effective Embedding Models: An In-depth Overview Matryoshka Representation Learning

Reference 75

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LLMs are Also Effective Embedding Models: An In-depth Overview Making Text Embedders Few-Shot Learners

Reference 76

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LLMs are Also Effective Embedding Models: An In-depth Overview NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 77

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LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 78

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Observation 51c1d0ce-c66c-415f-8cb4-37d16c56a2a1 · outbound

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LLMs are Also Effective Embedding Models: An In-depth Overview Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 79

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LLMs are Also Effective Embedding Models: An In-depth Overview Meta-Task Prompting Elicits Embeddings from Large Language Models

Reference 80

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LLMs are Also Effective Embedding Models: An In-depth Overview Improving General Text Embedding Model: Tackling Task Conflict and Data Imbalance through Model Merging

Reference 81

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LLMs are Also Effective Embedding Models: An In-depth Overview StarCoder: may the source be with you!

Reference 82

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LLMs are Also Effective Embedding Models: An In-depth Overview Towards A Generalist Code Embedding Model Based On Massive Data Synthesis

Reference 83

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LLMs are Also Effective Embedding Models: An In-depth Overview Reinforced Information Retrieval

Reference 84

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Observation fce6b3bf-688b-4b44-9590-ea544dbd76e3 · outbound

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LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 85

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LLMs are Also Effective Embedding Models: An In-depth Overview Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 86

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Observation e60289cd-65d8-43a2-8393-030828ea2dba · outbound

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LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 87

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LLMs are Also Effective Embedding Models: An In-depth Overview Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 88

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LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 89

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LLMs are Also Effective Embedding Models: An In-depth Overview AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels

Reference 90

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LLMs are Also Effective Embedding Models: An In-depth Overview Multi-Task Deep Neural Networks for Natural Language Understanding

Reference 91

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LLMs are Also Effective Embedding Models: An In-depth Overview P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 92

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LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 93

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LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

Reference 94

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LLMs are Also Effective Embedding Models: An In-depth Overview Conan-embedding: General Text Embedding with More and Better Negative Samples

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LLMs are Also Effective Embedding Models: An In-depth Overview Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment

Reference 96

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LLMs are Also Effective Embedding Models: An In-depth Overview Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free

Reference 97

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Reference 98

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LLMs are Also Effective Embedding Models: An In-depth Overview Unresolved cited work

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Pith citing papers

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Enhancing Math Learning in an LMS Using AI-Driven Question Recommendations cites this paper.

Enhancing Math Learning in an LMS Using AI-Driven Question Recommendations LLMs are Also Effective Embedding Models: An In-depth Overview

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CoRet: Improved Retriever for Code Editing LLMs are Also Effective Embedding Models: An In-depth Overview

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No Free Lunch in Active Learning: LLM Embedding Quality Dictates Query Strategy Success LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 35

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LLM-BT-Terms: Back-Translation as a Framework for Terminology Standardization and Dynamic Semantic Embedding LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 2021

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CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards LLMs are Also Effective Embedding Models: An In-depth Overview

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TeleEmbedBench: A Multi-Corpus Embedding Benchmark for RAG in Telecommunications LLMs are Also Effective Embedding Models: An In-depth Overview

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Observation 00f47e6d-bc09-4e2d-b299-3ee0ca705393 · inbound

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MIPIC: Matryoshka Representation Learning via Self-Distilled Intra-Relational and Progressive Information Chaining LLMs are Also Effective Embedding Models: An In-depth Overview

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Observation b096a893-a7c3-47e0-a474-963b5432a781 · inbound

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POETS: Uncertainty-Aware LLM Optimization via Compute-Efficient Policy Ensembles LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 112

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Observation f2e5d0f5-5471-49db-8328-91c0c4e4ecad · inbound

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SimReg: Achieving Higher Performance in the Pretraining via Embedding Similarity Regularization LLMs are Also Effective Embedding Models: An In-depth Overview

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Observation cfac06dd-063c-4a73-8251-542918f22a6a · inbound

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark cites this paper.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark LLMs are Also Effective Embedding Models: An In-depth Overview

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Observation 77f04de6-8f87-403d-ac73-cf283af6eb82 · inbound

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BitNet Text Embeddings LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:00:08.924398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2c2322bf-3fb9-4b04-ae53-aa4ad3b82e43 · inbound

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BitNet Text Embeddings LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 58

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Observation 06391bce-c2e5-41a6-bfe0-cc22b9860628 · inbound

CDAE: Enhancing Perturbation Robustness in Pretrained Language Models with Contrastive Denoising cites this paper.

CDAE: Enhancing Perturbation Robustness in Pretrained Language Models with Contrastive Denoising LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 3

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Observation 9d07659d-4420-4694-b30e-80d5489f5a05 · inbound

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Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 89

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Unavailable: canonical work link unavailable.