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Paper Citation Record · LEDGER

TongSearch-QR: Reinforced Query Reasoning for Retrieval

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 6 inbound Pith citation observations for arXiv:2506.11603.

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

pith.paper-citation-record.v1
2506.11603 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:07:19.460963Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:50:50.670748Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T21:43:59.839553Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact2
  • verified fuzzy4
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9146e218-6c95-4e9d-9c61-075292f6c394 · outbound

This paper cites write newline.

TongSearch-QR: Reinforced Query Reasoning for Retrieval write newline

Reference 1

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no resolver link, observed 2026-08-07T04:07:19.313070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:19.313070Z digest=sha256:769ceaa46bd803ed0605604601cc61f2aaad5be64b9a8a3f9d6bec147489e710

Observation c6444e3f-7cb9-4a39-8d5e-4973530b84b3 · outbound

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

TongSearch-QR: Reinforced Query Reasoning for Retrieval MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 2

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source=arxiv_source observed=2026-08-07T04:07:19.318101Z digest=sha256:cbcc2a473dc14017ed6d420156798b3dd69f08b3e2a131d85449e9f818eef788

Observation fecff692-9428-4972-ad1c-a95875a7a00a · outbound

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

TongSearch-QR: Reinforced Query Reasoning for Retrieval M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 3

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source=arxiv_source observed=2026-08-07T04:07:19.321987Z digest=sha256:f73dc00650b15baab2136fd154ea3fdf1bd076b9742299e75619a1a3aa813e4b

Observation 9060bdc8-54f9-4429-a4e3-00844932423b · outbound

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

TongSearch-QR: Reinforced Query Reasoning for Retrieval Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 4

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source=arxiv_source observed=2026-08-07T04:07:19.326608Z digest=sha256:125ccef40e9cc503c58e83b06488547ae9d16d78a20516d8fdc707e003b64e37

Observation 18926880-691e-4559-ae96-697cebd3a98b · outbound

This paper cites an unresolved cited work.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Unresolved cited work

Reference 5

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raw_fallback, observed 2026-08-07T04:07:20.269165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T04:07:19.330316Z digest=sha256:17facc8c5858dbc3356af9ee95d51f1721a689af375c7697f6464cce694f2c42

Observation 95084e2c-7343-4c98-bd64-b88e6cdf4125 · outbound

This paper cites DeepSeek-V3 Technical Report.

TongSearch-QR: Reinforced Query Reasoning for Retrieval DeepSeek-V3 Technical Report

Reference 6

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source=arxiv_source observed=2026-08-07T04:07:19.334333Z digest=sha256:83a61c74de58251e3a4e2726f5a96c421afef4e3219c551dab9f1a77a9e5a40a

Observation d39d295f-c7cd-4a3e-ac50-334911e73ce4 · outbound

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

TongSearch-QR: Reinforced Query Reasoning for Retrieval BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 7

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source=arxiv_source observed=2026-08-07T04:07:19.338230Z digest=sha256:24b32964bf23c4d775e07636dd2b9e9f574803abe61b0d7146707e210dd18610

Observation 147367ef-4df4-4719-b053-5888f395ed19 · outbound

This paper cites Open r1: A fully open reproduction of deepseek-r1, January 2025.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Open r1: A fully open reproduction of deepseek-r1, January 2025

Reference 8

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source=arxiv_source observed=2026-08-07T04:07:19.343772Z digest=sha256:f970fb4dce4d0585bbddbecaec2d71fb56fcd40c7625b854f239166f26d2c40e

Observation 951fa1a3-7ee4-4731-afe0-a8ead92f6b5a · outbound

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

TongSearch-QR: Reinforced Query Reasoning for Retrieval Precise Zero-Shot Dense Retrieval without Relevance Labels

Reference 9

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source=arxiv_source observed=2026-08-07T04:07:19.347137Z digest=sha256:bce2d1fc519317c63c19fcd6c980a5f4dfc478fb8556ffa243c5165723787a47

Observation bf766d2d-3df2-463e-9f3d-ce434e40d040 · outbound

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

TongSearch-QR: Reinforced Query Reasoning for Retrieval DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

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source=arxiv_source observed=2026-08-07T04:07:19.350918Z digest=sha256:b74d7b1e4c81332d0bc0e57c7be79005ed8206d126ca5ca6716321cbecc0afae

Observation c33d0261-c2f9-46ce-8965-aaf4016bf124 · outbound

This paper cites Query Expansion by Prompting Large Language Models.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Query Expansion by Prompting Large Language Models

Reference 11

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source=arxiv_source observed=2026-08-07T04:07:19.355526Z digest=sha256:0574151a65363facd9a83ffb960a01de70e9dc6af004ba254facabd3ffcc0d57

Observation fbc2cd86-1f29-49da-81de-c5c269e04507 · outbound

This paper cites DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning.

TongSearch-QR: Reinforced Query Reasoning for Retrieval DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning

Reference 12

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source=arxiv_source observed=2026-08-07T04:07:19.358923Z digest=sha256:193c6a1b501e51e3b219f8c4a35766c1e82e495bbcdf87ce64ef91f94b6dc11d

Observation 43595bb9-c2c1-42f3-885e-d8b6cef0bcfb · outbound

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

TongSearch-QR: Reinforced Query Reasoning for Retrieval Dense Passage Retrieval for Open-Domain Question Answering

Reference 13

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source=arxiv_source observed=2026-08-07T04:07:19.362484Z digest=sha256:c34e99deee9872c30c13a6f7317d9e00ad71be6ff22a5f929f2a8dda1b6c93c5

Observation c306b7d0-935a-4086-a23d-2fdaab2798e6 · outbound

This paper cites and Zaharia, M.

TongSearch-QR: Reinforced Query Reasoning for Retrieval and Zaharia, M

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-07T04:07:20.354212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T04:07:19.365855Z digest=sha256:cf6ed1135b4f3fb29a9f36197b63551c60ff9ea3f8aca0aedf1aad3e4cfea708

Observation afbe6870-d2ae-4e0c-9da4-18ed44a81c6c · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 15

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:19.369249Z digest=sha256:359b4c9346f789d9927b7e4ac397481081b704d0bb973c600d1c5765bc8f88be

Observation 3faa0c52-2d0b-4842-bb56-9c3b084ab743 · outbound

This paper cites Huggingface h4 stack exchange preference dataset, 2023.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Huggingface h4 stack exchange preference dataset, 2023

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T04:07:19.372797Z digest=sha256:f01600dbed99716e65550a1c18ad6117cb5457b5c060590f42de9b9684bfca7b

Observation 8c7307f3-3b06-4326-8ab1-c2c78b070365 · outbound

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

TongSearch-QR: Reinforced Query Reasoning for Retrieval NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 17

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source=arxiv_source observed=2026-08-07T04:07:19.376258Z digest=sha256:4cf2a943b20f6061f167428815a01b804bac33cd1b2598aa84e91563a3e1f4df

Observation 877fda71-c1b3-4d75-a680-61be7b5e4a38 · outbound

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

TongSearch-QR: Reinforced Query Reasoning for Retrieval Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 18

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source=arxiv_source observed=2026-08-07T04:07:19.379517Z digest=sha256:dae9805163cd49f65c0dfb608e0e0a0f5a9da0a080e73733f999b773a0ca8db0

Observation c1d41705-40cd-4630-b5eb-175a29f7c76f · outbound

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

TongSearch-QR: Reinforced Query Reasoning for Retrieval RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 19

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source=arxiv_source observed=2026-08-07T04:07:19.383164Z digest=sha256:d98aaad4615e9f58553b45bb309fa83d588665aa10a89b53229dcdc525f92cde

Observation f12b50fd-18c4-47ea-b5d2-46b798eeec39 · outbound

This paper cites Pre-trained Language Model for Web-scale Retrieval in Baidu Search.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Pre-trained Language Model for Web-scale Retrieval in Baidu Search

Reference 20

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local_arxiv, observed 2026-08-07T04:07:20.080729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T04:07:19.386210Z digest=sha256:6e4d6af85bed75c4ab7572085c3de9e83645577d2df108ed1439084e622f226e

Observation be74f976-bc67-44dc-b055-3a407859985e · outbound

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

TongSearch-QR: Reinforced Query Reasoning for Retrieval Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment

Reference 21

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local_arxiv, observed 2026-08-07T04:07:20.064856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T04:07:19.389536Z digest=sha256:df17e7a6aea3f388c89439b7c0132cbe311fe940ccbf0100a90c0857e261875c

Observation 38e3d382-11ec-4609-af71-0ab839616faf · outbound

This paper cites Fine- Tuning LLaMA for Multi - Stage Text Retrieval.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Fine- Tuning LLaMA for Multi - Stage Text Retrieval

Reference 22

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source=arxiv_source observed=2026-08-07T04:07:19.392938Z digest=sha256:195601b977ad84dcce8aa131ff02e6eb5d854c1c171bb5750eb962347a84d1ef

Observation ee029978-a80e-452e-8c8e-1524b60a1823 · outbound

This paper cites JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking.

TongSearch-QR: Reinforced Query Reasoning for Retrieval JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking

Reference 23

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source=arxiv_source observed=2026-08-07T04:07:19.396156Z digest=sha256:c920e565ca21d8ec1cdc01856a3ee2a0ebc2f1a672978bee70b80ec429368dc5

Observation 323d18d8-03a3-473d-9221-026d0abb35e1 · outbound

This paper cites GPT-4o System Card.

TongSearch-QR: Reinforced Query Reasoning for Retrieval GPT-4o System Card

Reference 24

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source=arxiv_source observed=2026-08-07T04:07:19.399718Z digest=sha256:c36de9004a9fd246067609321628896226f41a52c5a52a8eaddd7461eb857ae8

Observation 3c66603b-0a06-4099-aeaa-029a5569fe03 · outbound

This paper cites Qwen2.5 Technical Report.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Qwen2.5 Technical Report

Reference 25

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source=arxiv_source observed=2026-08-07T04:07:19.403353Z digest=sha256:f86c3595519cfc6b66830923939b2f95620216ae92cfb7e1062e3e5718fc149f

Observation 79ee80bf-4da4-4952-902a-39b38f07e0fd · outbound

This paper cites Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters

Reference 26

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source=arxiv_source observed=2026-08-07T04:07:19.407164Z digest=sha256:563d0665699bda7c744371a5e8c48be5e2e615ab908aa58953b0d33b06a4ffb8

Observation 1115d109-69b9-435f-a386-f12ad9b72813 · outbound

This paper cites and Zaragoza, H.

TongSearch-QR: Reinforced Query Reasoning for Retrieval and Zaragoza, H

Reference 27

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source=arxiv_source observed=2026-08-07T04:07:19.410563Z digest=sha256:fd6f97d12006adfab92acfd255ede0f1857c1620c5b06423c307aaa421d6659b

Observation 55af5b55-7d72-43d4-a5d0-3ff9523a8324 · outbound

This paper cites ReasonIR: Training Retrievers for Reasoning Tasks.

TongSearch-QR: Reinforced Query Reasoning for Retrieval ReasonIR: Training Retrievers for Reasoning Tasks

Reference 28

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source=arxiv_source observed=2026-08-07T04:07:19.413729Z digest=sha256:347a5e908e2dba625c564f51183336b1a01a2653114c1451fe85c2e9fcb8ecc9

Observation 495b1f0b-6941-4802-a5e2-d85602547a93 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

TongSearch-QR: Reinforced Query Reasoning for Retrieval DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 29

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source=arxiv_source observed=2026-08-07T04:07:19.416983Z digest=sha256:0b623e31ca948a07763b27efab8a387a4cc00971be31ea28c67830384e43aabe

Observation 8daa8b37-876a-4c04-a5da-b4ef2651a924 · outbound

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

TongSearch-QR: Reinforced Query Reasoning for Retrieval BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 30

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source=arxiv_source observed=2026-08-07T04:07:19.420264Z digest=sha256:010f49030e91978c92b041b11091f3c9ebe133fae415da36cca5a4a55c483041

Observation de1a8573-e761-4a0f-be5c-831311498640 · outbound

This paper cites Lref: A novel llm-based relevance framework for e-commerce search.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Lref: A novel llm-based relevance framework for e-commerce search

Reference 31

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source=arxiv_source observed=2026-08-07T04:07:19.423745Z digest=sha256:0fc8887d1a99088c17e8f04680e87252e4b1629cc8667030f43efbff9e6cfe0c

Observation 6a52af2a-a9c9-46cb-bfe3-991bb3003025 · outbound

This paper cites The Llama 3 Herd of Models.

TongSearch-QR: Reinforced Query Reasoning for Retrieval The Llama 3 Herd of Models

Reference 32

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source=arxiv_source observed=2026-08-07T04:07:19.426953Z digest=sha256:0dabd7a90b9f5eeb899242af5507138a8ec23fd3c6c65e554226b60392afdb57

Observation 3d5012e8-6185-4cc0-b07d-394820d27710 · outbound

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

TongSearch-QR: Reinforced Query Reasoning for Retrieval Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 33

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source=arxiv_source observed=2026-08-07T04:07:19.430665Z digest=sha256:258dc735eb8eefc4a76aedc611befc2434caaa3201f6848d5d76aa8861445ec8

Observation a0227755-5e81-461f-8903-ac5d4e5731df · outbound

This paper cites Improving Text Embeddings with Large Language Models.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Improving Text Embeddings with Large Language Models

Reference 34

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source=arxiv_source observed=2026-08-07T04:07:19.433935Z digest=sha256:4058adbf7a21792c2fdfc820ca1099fd8bd3583001fc47d95dd7d74f2129847b

Observation 2d5e5cab-549e-4704-bd34-315a172a1fda · outbound

This paper cites Uniir: Training and benchmarking universal multimodal information retrievers.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Uniir: Training and benchmarking universal multimodal information retrievers

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-07T04:07:20.332955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T04:07:19.437492Z digest=sha256:970103e9e978bba7664d9bad928c2d7a09ccffc458de39c57ac90fda9583ca4a

Observation 496a3448-20da-4d1e-bfc5-8946286ecffa · outbound

This paper cites V., Zhou, D., et al.

TongSearch-QR: Reinforced Query Reasoning for Retrieval V., Zhou, D., et al

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:19.440642Z digest=sha256:1f9baa3d176756b0a2cfae7318f96f2410f3436690c5fca5306ef944f41efee0

Observation 76c7ff2b-7f30-4014-86bd-96075cc57ae5 · outbound

This paper cites Rank1: Test-Time Compute for Reranking in Information Retrieval.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Rank1: Test-Time Compute for Reranking in Information Retrieval

Reference 37

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no resolver link, observed 2026-08-07T04:07:19.443757Z

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source=arxiv_source observed=2026-08-07T04:07:19.443757Z digest=sha256:88c6a6d751c718d4280e0ebf05bb6c8c60b218d8a232184666f8ae196dd54046

Observation d0edc26b-4c28-439d-9e45-c3d4e2f0c30f · outbound

This paper cites Inference scaling laws: An empirical analysis of compute-optimal inference for llm problem-solving.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Inference scaling laws: An empirical analysis of compute-optimal inference for llm problem-solving

Reference 38

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raw_fallback, observed 2026-08-07T04:07:20.315126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T04:07:19.447117Z digest=sha256:0eaa57392bc0cf869b1fc407642a053fb30fd647b6a520253285760ee8504be1

Observation fb3a8364-0f15-45e4-a92c-71d7b8ad0889 · outbound

This paper cites Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Reference 39

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source=arxiv_source observed=2026-08-07T04:07:19.450518Z digest=sha256:f692f915c29387889a0b0f83d7f728dc4b836e6fcc4996c495bfea8a04be9761

Observation 9ea1ccfb-6162-4195-a9c1-7c875eeb26c7 · outbound

This paper cites Enhancing asymmetric web search through question-answer generation and ranking.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Enhancing asymmetric web search through question-answer generation and ranking

Reference 40

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source=arxiv_source observed=2026-08-07T04:07:19.453993Z digest=sha256:2fce9f34b6b426a1a374ea1331f2f6b2e600e56ce428e84c29f3110418c3b3ed

Observation b75992df-3462-43cd-8071-351633a7bb42 · outbound

This paper cites The Lessons of Developing Process Reward Models in Mathematical Reasoning.

TongSearch-QR: Reinforced Query Reasoning for Retrieval The Lessons of Developing Process Reward Models in Mathematical Reasoning

Reference 41

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no resolver link, observed 2026-08-07T04:07:19.457366Z

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source=arxiv_source observed=2026-08-07T04:07:19.457366Z digest=sha256:8a6cd658e6456b41850f9e51040ec79553bb75cc64eb76b4879d60907391185e

Observation 15c2237f-a813-49d5-b0b9-90c6013388f6 · outbound

This paper cites Large language models for information retrieval: A survey.

TongSearch-QR: Reinforced Query Reasoning for Retrieval Large language models for information retrieval: A survey

Reference 42

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no resolver link, observed 2026-08-07T04:07:19.460963Z

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source=arxiv_source observed=2026-08-07T04:07:19.460963Z digest=sha256:0e9f4209594345d343f4934e34dd10c1fa1c0b7ce622b2a8ecb09af00930836a

Pith citing papers

Observation 3b6a966c-143a-4524-af00-98b06bf21132 · inbound

GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs cites this paper.

GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs TongSearch-QR: Reinforced Query Reasoning for Retrieval

Reference 29

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arxiv_id, observed 2026-05-17T23:42:13.013461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 782a1bae-9acd-48dc-b1d4-f20b0b69877f · inbound

Query-focused and Memory-aware Reranker for Long Context Processing cites this paper.

Query-focused and Memory-aware Reranker for Long Context Processing TongSearch-QR: Reinforced Query Reasoning for Retrieval

Reference 2025

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source=pdf_text observed=2026-08-02T23:59:26.636040Z digest=sha256:0b00695204ee7948ffd5ffd302d003a853ae0fb03e36ed9bd161cf431e1b0d81

Observation 1c1edb33-4d2b-4dd4-b9b3-9f5218a06bf2 · inbound

RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents cites this paper.

RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents TongSearch-QR: Reinforced Query Reasoning for Retrieval

Reference 21

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arxiv_id, observed 2026-06-29T21:43:59.841216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation fd2ecae7-f5e9-4037-b165-905b42545647 · inbound

RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents cites this paper.

RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents TongSearch-QR: Reinforced Query Reasoning for Retrieval

Reference 21

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no resolver link, observed 2026-08-04T05:01:25.580743Z

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source=pdf_text observed=2026-08-04T05:01:25.580743Z digest=sha256:5d60c9ffa87ef42db16e707419dc581956c9b3f02b258c4e9f00a6328e72a442

Observation b9853363-d90e-4ae3-8e33-596a8d9d94b5 · inbound

Xetrieval: Mechanistically Explaining Dense Retrieval cites this paper.

Xetrieval: Mechanistically Explaining Dense Retrieval TongSearch-QR: Reinforced Query Reasoning for Retrieval

Reference 6

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arxiv_id, observed 2026-06-29T07:23:12.874814Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T07:18:17.049765Z digest=sha256:19612234cc1cc075146f7c97466a0d4333fff9cc8a6b27dcd2f1639cbaeaaa04

Observation 7a94227a-af5c-4658-ba7a-75789f84180d · inbound

Antares: Foundation Models for Agentic Vulnerability Localization cites this paper.

Antares: Foundation Models for Agentic Vulnerability Localization TongSearch-QR: Reinforced Query Reasoning for Retrieval

Reference 39

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source=pdf_text observed=2026-08-04T07:50:50.670748Z digest=sha256:f45b3de402ce6ba55546c6d91fb2180c7582e1da73e137807622496df55f4ee0