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Paper Citation Record · LEDGER

TongSearch-QR: Reinforced Query Reasoning for Retrieval

As of 22 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 2026-08-22T06:32:14.747728+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:afaa47c8598af02fa6e9e33b0d4b7b1c6c21f314b3fa3cdb5d6c2573ae9bcc38

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=sha256:67884677d3d9a8c90426276d522a1bbbaebd0c2d8c2c16f7794c240f45aff0b6

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T04:07:19.330316Z digest=sha256:9dc9e65c8380021f9f3cfae2e9c3596e0bec863068f155abd098faf785bfd0b8

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:d6971a8410843b4fee54874a74b506b34c518807880f709160bfe2c08438a091

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=sha256:529c8fe6eb000647cb2a7d5069a508a0edd53af1ff25cdcd17453254b6605a1c

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=sha256:57782a0da412e6b4e9dd22ef04e9940988ba4f8f8e91eea1b6eaedccfd0f72b1

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=sha256:49f3d35b36bd8e76971d7871f9461a9d57d487b2d93e6591ff77d56224dc7d4b

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T04:07:19.365855Z digest=sha256:5562a5aebdb1e197a02f38e57d89228acbc7dfc2265ca2f2156f8dade2a5fa36

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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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T04:07:19.372797Z digest=sha256:1a2bc1f724cec4dad66499a7eb7000be3a0e41ecf71880a9da25be45e8d950e0

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:bd7895cb66a55ed080a8ee51a0f4c423be884848d39cf9df11e4fd515d3fca2c

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=sha256:8a9b4d73df39dc15bf3773868b6f74bb3daeb537432a2dc16d4c34c86bf6b1f1

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T04:07:19.386210Z digest=sha256:62522799440c7bf7b7c3f318aabbf16aa082b392e072821eef890873126d05e0

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T04:07:19.389536Z digest=sha256:30672d0ec3c00cdb1256cec0f219dceb7606d6ff9e2e2f6ca97881a323025603

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=sha256:42a97d277c9dd3c4e90be299549fd72a3be2c537396cde68e6550772b649265c

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:c1edf62af051a14db80aa9bfe6ddc8012dd1b39801e33010b4b93d6c374c2905

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:effd094b406f0dade96fa75e2ebeaf1c7e767638cbb0ac5204cd33cbd949dcc8

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=sha256:2ebd145c449bbd5c309c11e2acfbb055618c7b08766ef1e09e22425b7f28bd4f

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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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=sha256:258dc735eb8eefc4a76aedc611befc2434caaa3201f6848d5d76aa8861445ec8

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=sha256:96111c43f130d2d3e6e28d312a455b688b44230b1e4673294c848ccc0df518dc

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T04:07:19.437492Z digest=sha256:5f86dbb1827e03f57a43eb603821a8ac6be260ab7ebec93679923c20b948697f

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=sha256:54d28aa8ef578f54d16785e7758704b79d13d8dae430d8ce8e2ecc810fba4b7a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T04:07:19.447117Z digest=sha256:341b31f78fbde0c20d5bb651b154e1dbd364a8ff1d511190875d59e133dd0c52

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: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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source=arxiv_source observed=2026-08-07T04:07:19.457366Z digest=sha256:c6edf74ca1b1266f6b2b724fa6c9716823c048d40cbb7bb578240c4827cb0f94

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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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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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 2026-08-22T06:32:14.747728+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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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=sha256:0b00695204ee7948ffd5ffd302d003a853ae0fb03e36ed9bd161cf431e1b0d81

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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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T21:24:11.882268Z digest=sha256:853b568386d00f136d0ea321f03b4d8388bab586776a1cfea5b94a78f0939d89

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T07:18:17.049765Z digest=sha256:b0c1524e1e192d253d234b5328f6cbe64242bbf04aa33b746b8813dc0f5b02bc

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=sha256:1797b77c2cfdef9496ffb5c6d6e3fb4b6d652b6ff9263fc57ed6ca788928535b