Paper Citation Record · LEDGER

O1 Embedder: Let Retrievers Think Before Action

As of 20 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 7 inbound Pith citation observations for arXiv:2502.07555.

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

pith.paper-citation-record.v1
2502.07555 v2

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:25:12.458336Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:18:45.653166Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T10:32:44.948584Z

Reference resolution

74 of 74 outbound references displayed

verified exact2
verified fuzzy1
unresolved71
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5fde7f51-0d01-49ce-ae95-b9cfffe7ed28 · outbound

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

O1 Embedder: Let Retrievers Think Before Action MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.122983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a353060-ce19-477f-9065-bb537a078c47 · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.128602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 672f782b-f2dd-4491-a62e-76bbaba8439e · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.133239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e050e43-f8c5-404c-baa5-ca05e67c62a9 · outbound

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

O1 Embedder: Let Retrievers Think Before Action M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.137931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d9080a7-2d18-42c6-a524-e3f67835fa18 · outbound

This paper cites Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems.

O1 Embedder: Let Retrievers Think Before Action Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.143149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a65f607-65e4-49b6-a7a0-427bd29e3f8b · outbound

This paper cites Overview of the TREC 2020 deep learning track.

O1 Embedder: Let Retrievers Think Before Action Overview of the TREC 2020 deep learning track

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.148223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c285de6-9200-45b7-b2eb-1fd025c23c2a · outbound

This paper cites Overview of the TREC 2019 deep learning track.

O1 Embedder: Let Retrievers Think Before Action Overview of the TREC 2019 deep learning track

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.153587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03b679a5-5cbf-4e33-988f-171c05811ac9 · outbound

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

O1 Embedder: Let Retrievers Think Before Action BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.158393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 897e07d2-781a-4aac-9510-413f79403ad8 · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.163049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b720a735-e1dc-481d-a51e-d87f6a0be7bf · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.172203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c30452e-714c-4a88-b2eb-d6e9028670f8 · outbound

This paper cites Precise Zero-Shot Dense Retrieval without Relevance Labels.

O1 Embedder: Let Retrievers Think Before Action Precise Zero-Shot Dense Retrieval without Relevance Labels

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.176574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a404a28-3b9c-4191-a7b0-c013b95137cf · outbound

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

O1 Embedder: Let Retrievers Think Before Action Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.181157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ee28ddd-34dc-4585-9cfe-aa34c024e2d9 · outbound

This paper cites The Llama 3 Herd of Models.

O1 Embedder: Let Retrievers Think Before Action The Llama 3 Herd of Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.185616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ab0a034-f4be-404e-bd21-b66acee2d0d0 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

O1 Embedder: Let Retrievers Think Before Action DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.190671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f2e54f5-aef2-4374-b10b-28b4a7387956 · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.195180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50fbab8a-49c6-4a00-a645-6c98a1619b9e · outbound

This paper cites Training Compute-Optimal Large Language Models.

O1 Embedder: Let Retrievers Think Before Action Training Compute-Optimal Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.199509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 428588c0-dd37-490d-a136-58d5d656adca · outbound

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

O1 Embedder: Let Retrievers Think Before Action Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.204362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb17a64d-d8a8-4384-8d5f-c5f29a99783e · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.208855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1d8fd07-1f5f-44e7-9cc4-cc152547b7c0 · outbound

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

O1 Embedder: Let Retrievers Think Before Action CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.213140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2693e505-ae1d-47b3-b60b-854a526a2585 · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

O1 Embedder: Let Retrievers Think Before Action Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.217761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a07f079-4644-43a2-b013-c502265b8f29 · outbound

This paper cites Mistral 7B.

O1 Embedder: Let Retrievers Think Before Action Mistral 7B

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.222545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cc27e52-8015-4841-8094-b6a13aa1dc0a · outbound

This paper cites Scaling Laws for Neural Language Models.

O1 Embedder: Let Retrievers Think Before Action Scaling Laws for Neural Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.226897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91830a8b-410d-4668-a957-8c2e64605707 · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

O1 Embedder: Let Retrievers Think Before Action Dense Passage Retrieval for Open-Domain Question Answering

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.231591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11a9b38f-78d8-4a26-80fc-3c8c9af49c9f · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.236098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80f9d7e1-14a5-4cc9-a478-cfc278dd0a87 · outbound

This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

O1 Embedder: Let Retrievers Think Before Action Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.240794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 143a3963-b6cc-4315-8e57-334df2b19c7a · outbound

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

O1 Embedder: Let Retrievers Think Before Action NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.245130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f08eb1ec-58e0-49a2-a6fc-add3352afb33 · outbound

This paper cites Generative Multi-hop Retrieval.

O1 Embedder: Let Retrievers Think Before Action Generative Multi-hop Retrieval

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-08T12:25:13.373778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fc1d9d88-1f15-4869-879f-ea69fd9b3bf5 · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.254202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21b5575e-5866-4efe-b4dc-8f9058580984 · outbound

This paper cites Making Text Embedders Few-Shot Learners.

O1 Embedder: Let Retrievers Think Before Action Making Text Embedders Few-Shot Learners

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.258666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21c6dcad-eb4a-41d6-acc0-55c6665bc2e7 · outbound

This paper cites Making Text Embedders Few-Shot Learners.

O1 Embedder: Let Retrievers Think Before Action Making Text Embedders Few-Shot Learners

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.263284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f7b4bd6-6b63-4a5e-83a2-77002b230e49 · outbound

This paper cites AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels.

O1 Embedder: Let Retrievers Think Before Action AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.267767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58c5f376-15c2-46b1-a525-dfaca6431bd1 · outbound

This paper cites CoIR: A Comprehensive Benchmark for Code Information Retrieval Models.

O1 Embedder: Let Retrievers Think Before Action CoIR: A Comprehensive Benchmark for Code Information Retrieval Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.272261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a12b184-a53f-4c13-9241-0835bc9fb035 · outbound

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

O1 Embedder: Let Retrievers Think Before Action Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.276988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 559ee6ae-2160-4d9f-b9e5-3c2db9918539 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

O1 Embedder: Let Retrievers Think Before Action RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.281667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd4023cf-764b-4fdb-8a45-9302de0dba6b · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 35

Resolution: verified exact; doi, observed 2026-08-08T12:25:12.694847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 02e9d580-c391-41fe-aa13-048b01b98077 · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.290712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14cef131-ad4b-4232-aab1-308a3e88632c · outbound

This paper cites Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment.

O1 Embedder: Let Retrievers Think Before Action Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.295016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fa488b9-5aaa-4eb8-a5dc-d8d8147e9f66 · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.299397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e597edc-2bd1-41dc-9b2e-9df69df5121b · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.303523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Unavailable: canonical work link unavailable.

Observation 0b4b1ff7-5386-42b0-97e8-0d82e470156b · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.312714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66a06f57-eb2d-4590-ac73-5b73ca138780 · outbound

This paper cites RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering.

O1 Embedder: Let Retrievers Think Before Action RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.317004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08058db2-6fda-4402-8f00-e5aadeab6e45 · outbound

This paper cites Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws.

O1 Embedder: Let Retrievers Think Before Action Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.321466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8aaab57-dcda-4621-a595-33da3902da43 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

O1 Embedder: Let Retrievers Think Before Action Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.326055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4be6ae3b-8bde-47ae-8215-b5ce395b94f2 · outbound

This paper cites One Embedder, Any Task: Instruction-Finetuned Text Embeddings.

O1 Embedder: Let Retrievers Think Before Action One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.330701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b20af57-3b5e-451c-b6ec-0ee325bbdd0b · outbound

This paper cites BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval.

O1 Embedder: Let Retrievers Think Before Action BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.335319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4c88c4b-4972-40d6-9fd1-fffb9caa4418 · outbound

This paper cites BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

O1 Embedder: Let Retrievers Think Before Action BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.339925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59235871-5d1b-4c9b-84dd-aa06c42f826e · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.344698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48edbb02-9159-42a1-8d14-7187cda5c0b0 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

O1 Embedder: Let Retrievers Think Before Action Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.354032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f51d788e-aca4-4fd1-b7d0-8323726ef2d3 · outbound

This paper cites Hersh, Kyle Lo, Kirk Roberts, Ian Soboroff, and Lucy Lu Wang.

O1 Embedder: Let Retrievers Think Before Action Hersh, Kyle Lo, Kirk Roberts, Ian Soboroff, and Lucy Lu Wang

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.358857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b45accb5-c31f-42d7-bf93-1dbf4cbefafc · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.363228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aea5150d-24b7-4985-a21e-72f4ca291ca0 · outbound

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

O1 Embedder: Let Retrievers Think Before Action Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.367698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1e384ce-7fc5-4fcd-8409-2c06e3cde6aa · outbound

This paper cites SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval.

O1 Embedder: Let Retrievers Think Before Action SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.372217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88cc9236-cb6d-485b-95c3-c958bd38cc03 · outbound

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

O1 Embedder: Let Retrievers Think Before Action Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.376839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78aaf3a2-2d0a-484e-adde-a464a25e234a · outbound

This paper cites Improving Text Embeddings with Large Language Models.

O1 Embedder: Let Retrievers Think Before Action Improving Text Embeddings with Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.381295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01dde78c-0046-439c-bd00-7ee3eca37b40 · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.385722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e9373f4-7458-430a-ad63-2d34f8f09145 · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.390188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f75383f-3d8e-4cdc-95ee-10ea94bd089b · outbound

This paper cites Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models.

O1 Embedder: Let Retrievers Think Before Action Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.394497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84f0d239-e0cd-43d6-bd5c-a4fd422b8f42 · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-08T12:25:13.744937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ba810220-1686-4abc-84c0-7eabc40c401d · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.403828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5644bd75-196c-4054-bd8e-7de3247dd7b5 · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.408367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 428d12d2-a164-41e5-8e81-611e44b141fb · outbound

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

O1 Embedder: Let Retrievers Think Before Action Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.412804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95f1f01d-e8c2-4ea4-ae8b-b20ccd0e3c95 · outbound

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

O1 Embedder: Let Retrievers Think Before Action HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.417490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96e2ea0b-9dc7-44ec-b440-c6a4125c87b1 · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.422133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00fe780d-7f2b-4b8d-93a6-021e508afb12 · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-08T12:25:13.721719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eec8ae9a-ee8d-43ee-9c2b-7bc5710d7e17 · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-08T12:25:13.706647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ddc12ee2-6c06-4c5f-b27c-e9d001907bdd · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-08T12:25:13.692505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5224de59-74ab-49fe-bb42-b9ca6e9f4159 · outbound

This paper cites VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval.

O1 Embedder: Let Retrievers Think Before Action VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.449077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41adbf28-98d8-4ec2-b7d8-b390abb61142 · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.453666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc3ce3bd-4227-4a52-b99b-7bf3bb2d0383 · outbound

This paper cites Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely.

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Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.440105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01595fc5-c664-4b2d-a1ac-61537c109121 · outbound

This paper cites Don’t repeat the query, just give the response.

O1 Embedder: Let Retrievers Think Before Action Don’t repeat the query, just give the response

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.458336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a3d8e5b-2174-4f53-a1dd-5fcd1d3be357 · outbound

This paper cites an unresolved cited work.

O1 Embedder: Let Retrievers Think Before Action Unresolved cited work

Reference 2018

Resolution: unresolved; raw_fallback, observed 2026-08-08T12:25:13.778155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bdc76f91-efdb-4c06-aeee-af8f5df3ecfa · outbound

This paper cites arXiv preprint arXiv:2310.07554 (2023).

O1 Embedder: Let Retrievers Think Before Action arXiv preprint arXiv:2310.07554 (2023)

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.431300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1177bb5-e3db-4cca-b696-f6339dab0222 · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

O1 Embedder: Let Retrievers Think Before Action Advances in Neural Information Processing Systems 36 (2024)

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:25:13.829165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation b938c598-99c4-45e8-99bb-ad30d0376f84 · inbound

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

LLMs are Also Effective Embedding Models: An In-depth Overview O1 Embedder: Let Retrievers Think Before Action

Reference 185

Resolution: unresolved; no resolver link, observed 2026-08-11T13:59:02.033256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 887eebfb-744d-4ad1-bf88-ee38b2b88744 · inbound

Synergizing RAG and Reasoning: A Systematic Review cites this paper.

Synergizing RAG and Reasoning: A Systematic Review O1 Embedder: Let Retrievers Think Before Action

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-16T11:18:45.653166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8641bf9-3d1f-436c-a334-1f691978dc66 · inbound

Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary? cites this paper.

Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary? O1 Embedder: Let Retrievers Think Before Action

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:54.234061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 785a38da-e08d-44a3-ae16-2b05100f9a4f · inbound

When Iterative RAG Beats Ideal Evidence: A Diagnostic Study in Scientific Multi-hop Question Answering cites this paper.

When Iterative RAG Beats Ideal Evidence: A Diagnostic Study in Scientific Multi-hop Question Answering O1 Embedder: Let Retrievers Think Before Action

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:32:44.950814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 41a1399c-5573-4e7e-9b8e-dfc40ac9210a · inbound

When Iterative RAG Beats Ideal Evidence: A Diagnostic Study in Scientific Multi-hop Question Answering cites this paper.

When Iterative RAG Beats Ideal Evidence: A Diagnostic Study in Scientific Multi-hop Question Answering O1 Embedder: Let Retrievers Think Before Action

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T07:36:16.127973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04d8b9d8-32e6-475d-8ef4-8afc76789815 · inbound

MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning cites this paper.

MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning O1 Embedder: Let Retrievers Think Before Action

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-02T19:23:18.161070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ab991f9-07c9-405c-bd26-df94ab720f82 · inbound

A Survey of Reasoning-Intensive Retrieval: Progress and Challenges cites this paper.

A Survey of Reasoning-Intensive Retrieval: Progress and Challenges O1 Embedder: Let Retrievers Think Before Action

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:56:04.977606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.