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Paper Citation Record · LEDGER

TongSearch-QR: Reinforced Query Reasoning for Retrieval

As of 8 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 2026-08-08T06:32:00.761636+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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unresolved
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:f17a1ee77a0e53523725341eb4047121bbf543b554da0ac878cd8a416d489ce7

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=sha256:18dca05f89950c95b941b9671435759a14e7062b499fbaf2841a08b4eee9e311

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=sha256:3cbb0a392991b12fbe66847c38fea282488cd84420cd4a1ed2d4d2a1f6824444

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:19.326608Z digest=sha256:c8a87bcc54dc3b2210677d635ecd223b5050d5438ee994590c83cbdb2ed8a43e

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

source=arxiv_source observed=2026-08-07T04:07:19.330316Z digest=sha256:0eadfa9f11376646079a87d677d77b199a04c947009dd8993c3015b42abf9327

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=sha256:7ad8fe1fda7d0cb13b2b5c2f32d8de50c21e4fdff972b8b58238c044bd2afbc1

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=sha256:373d76eb6eebb2cf66964d053063b34d8f3e3d7657f835c61e74548a3cabbddf

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:19.343772Z digest=sha256:a3e17533d40e7ae0a8c8d11580bd42e3ce6785a77fc84ceca5f2572d757614a7

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=sha256:0540879211fa74f4c03dcf2e85600ce17b91eb93f9f6dce036e212887a7285b6

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=sha256:22da902ef47ca7eb678b90ddae3e647a0947807a2861ef306bc7cd29dd316185

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:c47355c7d7376c9d59d1989958e0827346ac7c828ff5eb472b4ae8b44bbf067a

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:a8fd9dc24e0d1d484208e3b8c1108855ecdab9cd4dd08f6ac2e3681955fb6dba

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=sha256:4819283a80af02c9b009c5884aedab66e12a2942c288ad801746b0c1d6f631d7

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

source=arxiv_source observed=2026-08-07T04:07:19.365855Z digest=sha256:ae4d78ff5407b5d404b14bb427a6df41c58a72f9438b0d8481aeeb7ae5e28d91

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=sha256:7044445c6c1585f2ca46d01d93343bb5184b356d3a011f7cb17c27503081196a

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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raw_fallback, observed 2026-08-07T04:07:20.343487Z

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=arxiv_source observed=2026-08-07T04:07:19.372797Z digest=sha256:c2ff86411425a409d6591b0e50e3fb489f9af120ac9a5611e79edf46b7fc0b15

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=sha256:498b080229748a6c0e7af16bd2fbe60a6b1a37b0ffa72c775920a8f4dc6255eb

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=sha256:1fbf5eb7270e79411828ca48f3ef5b7a0f887075c74892067a34dba857bacd74

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:19.383164Z digest=sha256:bad865f475409bb983d66969c3dfd5f60fbfd8f3b4ce4e8f201053153d7c3909

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

source=arxiv_source observed=2026-08-07T04:07:19.386210Z digest=sha256:ba8c78db2c959de46e6e729dec9ce624ca350b28055032629c828c7abd9d4874

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

source=arxiv_source observed=2026-08-07T04:07:19.389536Z digest=sha256:21b158e92e64974f99e7e9623cf64fb3772a048e457d2cae58c2db3cbb9ad2fa

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=sha256:39990a2d0f1604b54f77a8e21117c32937a7715feb2315114c8033d6dc5fa764

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=sha256:244808527693aaba750ff4b8910e3e85ee88be6a7e73833afac2a45a1b97a47e

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=sha256:9aa440dd3df9e611fed90ef0bafe94c914ae38e0658d0cda98735a295c604eaa

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:a85e5b033fc17b903e2897fc95918df36648ddaef50033f438ab78a2e0b7539b

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=sha256:7dfac2b8eb28be3f82ba74d62a741e86832227fdd4033544f51eea94e8466124

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:d8881a0d5b6c4bff4414926a945eb4588e2d06fc6e896f60c63c266b5b460aaa

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=sha256:49c3564cab1f89ca2192ec2fd46f6d01e95af486e4aaa10af59d02672d1dc106

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=sha256:008b8130fef95a0770c70c81bcb3d5bca87f8b8c825721886701eeffc313bdd4

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=sha256:0c314d1305982b7e56109dca7fe57a916e20626e557ff83ce9aa249a3f6897fc

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=sha256:61b616b4885f79dca3767f25a641fe86c2a3d31c439fb841ab6b6bd1b775a91c

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=sha256:63d5ca6d9845bfa63e6073500f24df03a47725c4a3c82463a0272846e0f8786a

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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no resolver link, observed 2026-08-07T04:07:19.430665Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:19.430665Z digest=sha256:28223a2deb57b8505106cb61134fed63d17e8dc30177b0eead559334c09a93a1

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:19.433935Z digest=sha256:38bba2a16b181111d8c52af0c960e408a5f125d2866af476d65a5011f539bb2b

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

source=arxiv_source observed=2026-08-07T04:07:19.437492Z digest=sha256:329bbc0242f55a2c314d664544bcaa7627e8e582965d4734a2b6d12eade081c8

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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no resolver link, observed 2026-08-07T04:07:19.440642Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:19.440642Z digest=sha256:31c7b48a9a455ec6522917ddee7f4fee1000983ae03cc3d0fbe6d5059b7379ee

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=sha256:60c18c7d4c1e5f33b797297a953d05ee14c2e614109075b5e0cc4f3d34b9d987

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

source=arxiv_source observed=2026-08-07T04:07:19.447117Z digest=sha256:e00c04055e78b31fa5245370b471081c3bd002de6026a7a5bd77e778aa733db0

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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no resolver link, observed 2026-08-07T04:07:19.450518Z

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source=arxiv_source observed=2026-08-07T04:07:19.450518Z digest=sha256:4a7add2cabfc3f7650ba4b13819fe2e1593515ce461467b4aff66359d0506843

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=sha256:4fcc95bf1abb4aeddbee68d41557668a6e28ce1a6916d29b74d7aa6de25f1eea

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:bdd82e1500189fce62d32bbb1e64aae3b1a82625b7c435b93e352af25eacf430

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=sha256:97d032e0317443944f5a6f8a0ab5650b3f7ef635ed69a97d1c56984609bdac25

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

source=pdf_text observed=2026-05-17T23:41:47.052697Z digest=sha256:60ebde4f2bda181c10ed9cb61d21b857e2ee131d724746eeeabaee29b237c15f

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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no resolver link, observed 2026-08-02T23:59:26.636040Z

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source=pdf_text observed=2026-08-02T23:59:26.636040Z digest=sha256:0248e4679148c0ba24470d790dc1b7d4ea9f5440d0a8563c6a17d71e51ef8b7c

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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verified exact
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 2026-08-08T06:32:00.761636+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:b365b61c1ac387babc090a0e2b48cb576743010582e8e984babd1a2f08db7987

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

source=pdf_text observed=2026-06-29T07:18:17.049765Z digest=sha256:97dce698933ed80d630ae888d9edf039b0b335b8aa9daaa17f819d67f193d260

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=sha256:529166884255998ea1170376a7fa86f8f8eb62d64b7d946099564977005dffce