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Paper Citation Record · LEDGER

O1 Embedder: Let Retrievers Think Before Action

As of 8 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 5 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 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:54:54.234061Z

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.

source=pdf_text observed=2026-08-08T12:25:12.122983Z digest=sha256:f192832e8809bd21d8c0743f9de941d88285a29a4d97f74a30a7d0ed4e81111e

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.

source=pdf_text observed=2026-08-08T12:25:12.128602Z digest=sha256:07ef1d1b7ddbc412071735056a4bf6ba995f7920675e53e4fb52decfb534f288

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.

source=pdf_text observed=2026-08-08T12:25:12.133239Z digest=sha256:467aae3282e37458ffb85b89423b3bccc93228fcce54abfa39458d8e99768796

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.

source=pdf_text observed=2026-08-08T12:25:12.137931Z digest=sha256:8589e449bdef5a4926bcc8b0211931129f9fe5e44e32781d29b08865c4010089

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.

source=pdf_text observed=2026-08-08T12:25:12.143149Z digest=sha256:931a0192d64cfce0569e2f783603dd79aeb887bbf73f767b8cd0adef7356f632

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.

source=pdf_text observed=2026-08-08T12:25:12.148223Z digest=sha256:29f70698e39ce8215d4602f47186bd3edf95a2bbab09eb3d6c79f5ee832b96e7

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.

source=pdf_text observed=2026-08-08T12:25:12.153587Z digest=sha256:87b6b337c43a3734114d222d25e752b34f9c80504e7600d8556d6bf8dfee06d3

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.

source=pdf_text observed=2026-08-08T12:25:12.158393Z digest=sha256:8c2f3894c514d8b63780adedfc2a1dde679dd0800065ef255b94f8d30b03dc58

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.

source=pdf_text observed=2026-08-08T12:25:12.163049Z digest=sha256:832c2a704ec5a9b2c12b133b6c0edcac6dd3e0001a647c01dff1e3fb5b59a743

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.

source=pdf_text observed=2026-08-08T12:25:12.172203Z digest=sha256:33e1fa0e7372227a771170e2ff24ad940a2d7f5ed6c4010bcb43d265f4d29a06

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.

source=pdf_text observed=2026-08-08T12:25:12.176574Z digest=sha256:74745958ece02d6da6bb75143de66c8d432622a4adc2dde6c051572e312a5149

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.

source=pdf_text observed=2026-08-08T12:25:12.181157Z digest=sha256:f433c203d896bc76d44e343fbd608cb3618ffa595138a9166c4c068cae8447d4

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.

source=pdf_text observed=2026-08-08T12:25:12.185616Z digest=sha256:ec4e1cb5b971d977098cd86d094b7b2948c7e580092baa8c684c1f237095ee7e

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.

source=pdf_text observed=2026-08-08T12:25:12.190671Z digest=sha256:bc1c283ba92f0b6c2c9e8378d965c3c43430b082608e70bac3d400f2f3ed9950

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.

source=pdf_text observed=2026-08-08T12:25:12.195180Z digest=sha256:79130bd5351455ec513bd8b4ee6f61e9647346a1e6394b7c755468993c2c1bba

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.

source=pdf_text observed=2026-08-08T12:25:12.199509Z digest=sha256:752282292006aaad9409c20f4ea06463694559fbdfc1c14dbb9042513ffcbe0c

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.

source=pdf_text observed=2026-08-08T12:25:12.204362Z digest=sha256:9282bec8ade6e66bd8e21eaf12ae41fbca6b676f52c6e7c0a41d699857de5ed1

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.

source=pdf_text observed=2026-08-08T12:25:12.208855Z digest=sha256:b558f1838ff203bdaa72157623202d73fbe5af72c85ec159a82109dc800941ec

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.

source=pdf_text observed=2026-08-08T12:25:12.213140Z digest=sha256:3f694c466382177afeb1ec86fa09f8b8f51f4c30c45b566234cdddb550438c47

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.

source=pdf_text observed=2026-08-08T12:25:12.217761Z digest=sha256:682ae5130a79373be5d6a4ce0d51ed7561fbe45cbf4ff92c52d81c3a84fd711b

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.

source=pdf_text observed=2026-08-08T12:25:12.222545Z digest=sha256:614936de40399ea16614070fb966ec0a8589bc266a6a26399ef90f5df70c46ea

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.

source=pdf_text observed=2026-08-08T12:25:12.226897Z digest=sha256:27a52e9212dc5cdcc97ee6164745014cde228fb50033337494937d692d799c5b

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.

source=pdf_text observed=2026-08-08T12:25:12.231591Z digest=sha256:7cecd2bc0e99adf4c5933cb96f8bcdf92abdcc16b8f115c4de346d9a288d9c8d

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.

source=pdf_text observed=2026-08-08T12:25:12.236098Z digest=sha256:ca7b3c37c01361770d4152a175f351d2a9a9cb1006fb27d337a790062960c111

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.

source=pdf_text observed=2026-08-08T12:25:12.240794Z digest=sha256:ebfc96ccbe518ca696a9a2736a812c54afb4376df067a3505221317d1805a9e8

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.

source=pdf_text observed=2026-08-08T12:25:12.245130Z digest=sha256:64aea5590a02455d291922660d1ff49ff9bd7c8e1247709e37cb100c7fbb5561

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:25:12.249788Z digest=sha256:d46f53e64e8088238eaa773b47587e0dc216e6dc0f70130fa7f74734a49f400a

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.

source=pdf_text observed=2026-08-08T12:25:12.254202Z digest=sha256:b83755eb046937fba1a34f40c928bbe6cc7d31fd88b54e9f2c5f4f78fb5723c3

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.

source=pdf_text observed=2026-08-08T12:25:12.258666Z digest=sha256:ab155d590badd9c1348869c6d9cfc70827f737d2e32fb3c1464deae7b3f04615

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.

source=pdf_text observed=2026-08-08T12:25:12.263284Z digest=sha256:b3b642fe1cb9dc58a3602798e11b308f7646996aa9f5915dd74ff16a34717924

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.

source=pdf_text observed=2026-08-08T12:25:12.267767Z digest=sha256:9914d01ff2ca96ffa475101ed879f030f3d5e0abc20fafc05b64790d9f073717

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.

source=pdf_text observed=2026-08-08T12:25:12.272261Z digest=sha256:7a77ad12fed63b345ef42bff468f0c2e6036eac661986423ef8ece8f066edee1

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.

source=pdf_text observed=2026-08-08T12:25:12.276988Z digest=sha256:4a482cabb447a5cac14aad491d1599106af1044082d1594ed06807ac05ccaa1b

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.

source=pdf_text observed=2026-08-08T12:25:12.281667Z digest=sha256:922f5f3fa2824699de9b83ae7ebb7a0ec0f5a03fb35455072782b69fc6981b4f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:25:12.286231Z digest=sha256:b1a84c3ecc3f18b38fbef79b062d3ee9e4a038720621aac924be135e547d1fcc

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.

source=pdf_text observed=2026-08-08T12:25:12.290712Z digest=sha256:263bf332cd3e7f01266111b298bbfb8c03093b8a21bcab4027d06320dff24dc4

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.

source=pdf_text observed=2026-08-08T12:25:12.295016Z digest=sha256:967ff6832f403be5db7b5b57cda8c4caff8ea04fe42d5f740d2542716bf0ff2f

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.

source=pdf_text observed=2026-08-08T12:25:12.299397Z digest=sha256:39c690e090a9ec642c681dea34c08972f5226795997341b8c2092fca8db62eb3

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.

source=pdf_text observed=2026-08-08T12:25:12.303523Z digest=sha256:6850f660cb9b7542e997d3efdd10d6aa73e54ea43b6f918e0750ef2b92ced252

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

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source=pdf_text observed=2026-08-08T12:25:12.307796Z digest=sha256:f03b79d8fc4af7b7d9fb87b3f277afedc00af311e8d330fe17eb6b2552712ca4

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:25:12.312714Z digest=sha256:64c2f1302d5f34de219a0a7f9ca1901e1357af6ae6536eba1f2c00849eec72c5

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

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source=pdf_text observed=2026-08-08T12:25:12.317004Z digest=sha256:5e6edbabb19ab4272b45faa3c86c234d848c5a3066ad53dfbd0525e81b24e7ec

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

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source=pdf_text observed=2026-08-08T12:25:12.321466Z digest=sha256:93ecce68cd4b93bff187008656d32af7e32041140ebe866d30233885e11a0274

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:25:12.326055Z digest=sha256:1ee236e7efcd7f6f35ed1608066b98376def058e34cd214f6a980719422b8049

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:25:12.330701Z digest=sha256:61c8e4b4a7bfa949f7647562b99e7717ee195ff4e0f32cce72ec0879c2e5765f

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T12:25:12.335319Z digest=sha256:c2acfbfb4f86580ef25577ae825c0b7aff6308a9a77df6ce97362b447aea0064

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T12:25:12.339925Z digest=sha256:622acb4cdbb01ca5a779c4ac40401742a0de71a4f2d004b495b9dcaa304f4782

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:25:12.344698Z digest=sha256:38062a9016d9f169981f0de81f21abc628915f742e02aab6ece4474676e88365

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T12:25:12.354032Z digest=sha256:3499b3684cdcb16c1169e181a6900a618ac669a6137194ac86caf0d4cb3e88ea

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T12:25:12.358857Z digest=sha256:4eecc8000fe1a46c0928125b6fe4b04645aa5d14f7fbe7e115067b9046d1b843

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:25:12.363228Z digest=sha256:aaf9eb9f72b235185130ee83c91757caf81d34200706076ed5da55c559eca1f9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:25:12.367698Z digest=sha256:bb8d0dae00aa133de110994b75aec828f2b5957a05adad6bf558f35253ccf469

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T12:25:12.372217Z digest=sha256:b5463744a56f47c687d0c65c243a778687f467abb5136fe38b0f56a742bae4af

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T12:25:12.376839Z digest=sha256:c7368748e523d32bc2955871b1d033d1d848df2badc3fe2685a36c33ceb21132

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:25:12.381295Z digest=sha256:d0b7824ba6a4d3ca6f987f5cf97d971e911b7f0cfcb8835e28a49b22afd20729

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:25:12.385722Z digest=sha256:5b974e347c6488c8e6b18a0459fdc99ec7c72855adb5c1621b1ad3232c699bd0

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T12:25:12.390188Z digest=sha256:5130fa00df54848cb2230e6d222b88998135ce7a84a5c5b7ec37a1942ee06195

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T12:25:12.394497Z digest=sha256:7bd7acbb608cc5232784c62c9972938183d1608e641c4f63623222598b3f687b

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:25:12.399367Z digest=sha256:8e355fb0177299a29cdeb836de4ff6c95d7e1bbfee15791af980f50a94124af6

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T12:25:12.403828Z digest=sha256:c3492616a281d381531b47670d3801e435fef88ffa224f6f0391998818b45d46

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

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source=pdf_text observed=2026-08-08T12:25:12.408367Z digest=sha256:925c7684034879515f2759815fe4a396974cd9088b227b10d2225b8ce188fb85

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:25:12.412804Z digest=sha256:f8f94e9c74fdd314770de7ff55cd1f8bd495ced1d7bb030d0fb6c0d7a04e9ce1

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T12:25:12.417490Z digest=sha256:95ee7b310bdfeab2f4ab3156be9963a829d65cc539087a7e3b72cc95723f850a

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:25:12.422133Z digest=sha256:69f35b10ca0d1696dd9c1b7d91935e2825b83e073a9dcd6dc0982394ad92b333

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:25:12.426662Z digest=sha256:06a50399312831eabcfbd219b0edd6e8687e9083d24ae1796cb4f70d96141671

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:25:12.435590Z digest=sha256:c778477415b2c275ee4e62542d7bf8aed42e6d5b7def12b5355d3752f3f74a00

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:25:12.444833Z digest=sha256:c5d98254fc7aed4cf802ae0fbd31aa5f1e36ffe6bfe581d92207ee3a06b6a618

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:25:12.449077Z digest=sha256:b9964dd53b5b119aabd26d386e473098d30bb53bdddf731211bba0d74c93e646

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:25:12.453666Z digest=sha256:d0fa35110d58a6d440a13eeefe0fb6cafe3a7931b5019d988ff2153762eae223

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.

O1 Embedder: Let Retrievers Think Before Action Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 70

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source=pdf_text observed=2026-08-08T12:25:12.440105Z digest=sha256:a3c7b0843c668ffa1399bd42bfd3fb46a6d6fe098095789c898c8e1d33f17216

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:25:12.458336Z digest=sha256:d6dd6d328f771cf40f0808ebaa1c9807743ac472695f3160b16962a23fcd792f

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:25:12.349540Z digest=sha256:48cf6412bd93054770b904e211ae87fd20f05a2c9c8502f1c45e94f27676a7e3

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:25:12.431300Z digest=sha256:da8d5a3b00fb42d6d5a432f06352535da57770a511b5e056c171e71217f8ef32

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:25:12.167858Z digest=sha256:7b78c9b02cb0f4fc1881337ae374bbb83e278e67686c45f808c9fc3e9356cf67

Pith citing papers

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:54:54.234061Z digest=sha256:064ded4fa0a3e08154f4ca46c094725992aa6a2506c08cd2fce3675be6021e7e

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T10:31:04.987672Z digest=sha256:924a6532d15ab9263381bb39ccc890d5da46f8da26077f0b01b91d0d36b34bb7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:36:16.127973Z digest=sha256:1ebf0d726cc0c99087b151e0dfac0b6260061bc4f46ebba9ac4389e1d02a32c9

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

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

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source=pdf_text observed=2026-08-02T19:23:18.161070Z digest=sha256:f0887ba5f77078331bf4a0b9e7eb38623c64bde541b3ae59188571007664eb5c

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

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arxiv_id, observed 2026-05-11T14:56:04.977606Z

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source=arxiv_source observed=2026-05-09T20:53:05.314601Z digest=sha256:112a60bcbf072e468250b9ca05c7b512df38c220d49df7f0437b2588d4cf952a