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Paper Citation Record · LEDGER

Qwen2 Technical Report

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 100 inbound Pith citation observations for arXiv:2407.10671.

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

pith.paper-citation-record.v1
2407.10671 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 100 of 567 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:17:06.921092Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T01:17:45.141547Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c1d114b1-c852-407b-8740-c8ad726324cd · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models Qwen2 Technical Report

Reference 143

Resolution
verified exact
local_arxiv, observed 2026-05-10T22:46:40.654958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:1e4d9e407b4a78554c40c7cc1a4f0222cbe3066c2028128642e620217e7d5195

Observation 10c597f4-3ea5-4e8f-bb48-3f4fce0cd73e · inbound

KTO: Model Alignment as Prospect Theoretic Optimization cites this paper.

KTO: Model Alignment as Prospect Theoretic Optimization Qwen2 Technical Report

Reference 22

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verified exact
local_arxiv, observed 2026-05-12T12:17:53.539032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T12:17:53.478052Z digest=sha256:8586195b79a78ad9cf8e21ac35b9b7dbe1dd39d95478202c4dad96634a12c8c2

Observation 92dacc0c-6cc6-4d07-a134-e79c095f3bbd · inbound

Whispers in the Machine: Confidentiality in Agentic Systems cites this paper.

Whispers in the Machine: Confidentiality in Agentic Systems Qwen2 Technical Report

Reference 39

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verified exact
local_arxiv, observed 2026-05-24T04:03:53.832215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T03:59:03.972043Z digest=sha256:c2ee98e99e8fdac95b7cf8271c13474e15dd3aa8d159141229f146e85608c111

Observation 4852c6c3-b0a7-4014-af0c-8a10566f2518 · inbound

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing cites this paper.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Qwen2 Technical Report

Reference 156

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verified exact
local_arxiv, observed 2026-05-16T06:58:36.908427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:75b4c7cd461653ff3dcaebd2314b1f171cdb62a469c13fb2e696e388d8d328c2

Observation 86bb5dd3-683e-4ae5-a1ab-8d2c20cb44cb · inbound

FinTruthQA: A Benchmark for AI-Driven Financial Disclosure Quality Assessment in Investor -- Firm Interactions cites this paper.

FinTruthQA: A Benchmark for AI-Driven Financial Disclosure Quality Assessment in Investor -- Firm Interactions Qwen2 Technical Report

Reference 36

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verified exact
local_arxiv, observed 2026-05-23T23:55:53.593898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T23:55:14.855176Z digest=sha256:be5c4022e1e7e13d4544d034eaa8fa49135391f3acad0df2b0d26143c87d780d

Observation 552b92b6-b85d-4869-85a3-85c10a04008c · inbound

LLaVA-OneVision: Easy Visual Task Transfer cites this paper.

LLaVA-OneVision: Easy Visual Task Transfer Qwen2 Technical Report

Reference 148

Resolution
verified exact
local_arxiv, observed 2026-05-10T14:23:49.522197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T14:23:49.412830Z digest=sha256:33ad64391962d5b4300efb61d0e69160098de32161682d085bed1c5fecbf54eb

Observation b64dbcff-fc05-4513-8daa-202d041362bb · inbound

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models cites this paper.

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models Qwen2 Technical Report

Reference 257

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verified exact
local_arxiv, observed 2026-05-20T06:20:36.545202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-20T06:20:36.235304Z digest=sha256:cf42a417d19486311335f64c73efb1cf4bc8904949ee188886d10db2843732a1

Observation 28769235-045d-4ac6-a662-3ff4ce5b0448 · inbound

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark cites this paper.

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark Qwen2 Technical Report

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-05-14T00:51:48.432416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T00:51:48.163349Z digest=sha256:16ec89b7d5056931e99ec440940aee8ae064a9628254414d5b545b9b5056c62d

Observation 7c9da6ef-cfaa-4ab7-baab-3039495d370a · inbound

Optimization Hyper-parameter Laws for Large Language Models cites this paper.

Optimization Hyper-parameter Laws for Large Language Models Qwen2 Technical Report

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-23T20:45:48.981300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T20:45:31.427677Z digest=sha256:3a3bf4d0b14630d32954f0d56b852730319e96ff27e0cfed8708312d9737acdf

Observation a4d0aca6-8e2b-48d2-b651-cabd12be7b82 · inbound

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models cites this paper.

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Qwen2 Technical Report

Reference 120

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verified exact
local_arxiv, observed 2026-05-15T01:55:12.701089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T01:55:12.501409Z digest=sha256:f91dceecef604f2eae6c5d71170e249a13d4e5dac385af19313209fb1595edab

Observation aafb5d89-5702-4fd1-9cab-2aca00c8648b · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Qwen2 Technical Report

Reference 166

Resolution
verified exact
local_arxiv, observed 2026-05-23T20:58:25.862821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:5c2797871d9443915bffbfad0111bbed991c06a465d21add3880a69316d3e557

Observation 015c1965-c634-4ab3-b8f8-14cec9ab1e04 · inbound

MinerU: An Open-Source Solution for Precise Document Content Extraction cites this paper.

MinerU: An Open-Source Solution for Precise Document Content Extraction Qwen2 Technical Report

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-16T04:00:25.754531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T04:00:25.624430Z digest=sha256:ca00091ef3edd96d876e2db3896e6f48c170081d645c7babc03e559c138404a9

Observation b9d65c3b-e7f0-4803-a064-02f21f8d70cc · inbound

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents cites this paper.

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents Qwen2 Technical Report

Reference 152

Resolution
verified exact
local_arxiv, observed 2026-05-12T13:36:57.209534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T13:36:57.011451Z digest=sha256:6995f358ea3f28d3f93f8ba47f810a121b178ce5b08b9c692634b93105666b69

Observation daeaa2aa-bef9-4d74-bb35-5a13d39c2a70 · inbound

LLaVA-Video: Video Instruction Tuning With Synthetic Data cites this paper.

LLaVA-Video: Video Instruction Tuning With Synthetic Data Qwen2 Technical Report

Reference 146

Resolution
metadata mismatch
local_arxiv, observed 2026-05-10T23:20:33.066115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T23:20:32.330351Z digest=sha256:aff6849fb5ae6cb5f75585d656c3df6f696c0e1a4457d2cfda5124d79ad187ea

Observation 22bffec0-53ee-4851-aa26-0bffa56f0da8 · inbound

PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling cites this paper.

PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling Qwen2 Technical Report

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-05-23T19:43:23.800975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T19:39:35.147671Z digest=sha256:6c4972b4760699cd19b8fbd148711131fb660236ba0fada03e2b59536810aa6c

Observation 136e4829-a1bb-4adb-b945-fd2378d31e71 · inbound

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models cites this paper.

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Qwen2 Technical Report

Reference 73

Resolution
verified exact
local_arxiv, observed 2026-05-15T09:09:15.065363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T09:09:14.884516Z digest=sha256:d0a76b30a6f8f9bc1a5e3144ef10da5fff30ea2783da84352e9bbf7d54971310

Observation 9583dc66-a1d0-45a0-8e5b-e8421bc5631b · inbound

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents cites this paper.

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents Qwen2 Technical Report

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-16T15:37:25.855073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T15:37:25.781240Z digest=sha256:e9db913c0b205cb3d459887fc62c35fd228811d575d739065daaa199d87e827b

Observation acff0b13-3ac8-40ff-b0e4-bb57bf19c3b4 · inbound

CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment cites this paper.

CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment Qwen2 Technical Report

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:35:46.106943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T18:35:10.313449Z digest=sha256:f07dc000a4d29a2d08f8175c2033cebcfcf96f2cc2d3fb7e095d525426e46ca8

Observation 4a20d75e-d54a-444c-98f2-15afc2f5d4ac · inbound

Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving cites this paper.

Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving Qwen2 Technical Report

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-05-15T15:24:23.826596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T15:24:23.756052Z digest=sha256:ce5ab1b66e24e917a62c05a41f9ee32a928cb0522827d2e16468c67ec2f8ef2c

Observation b81b5edf-4b0c-4d89-b398-740beb3f4c7c · inbound

When Large Vision-Language Models Meet Person Re-Identification cites this paper.

When Large Vision-Language Models Meet Person Re-Identification Qwen2 Technical Report

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-23T16:58:11.806543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T16:58:02.417053Z digest=sha256:8b49ae0842ff1a9527e09a0e29c7ae28f682d41450b4b07c60948115215a834f

Observation b28c722c-3d13-4928-b454-f282b5979b9f · inbound

Open-Sora Plan: Open-Source Large Video Generation Model cites this paper.

Open-Sora Plan: Open-Source Large Video Generation Model Qwen2 Technical Report

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-23T08:42:45.141234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T08:38:27.946746Z digest=sha256:c872aad0431d3fd25323fd84e5008828628023a4e214112bdea2e94b0e8f25ad

Observation e93f96ae-481e-4e62-a3b8-71c89280d9a2 · inbound

NVILA: Efficient Frontier Visual Language Models cites this paper.

NVILA: Efficient Frontier Visual Language Models Qwen2 Technical Report

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-23T07:42:42.974053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T07:42:22.478647Z digest=sha256:054eda7899a6c1fa0eca16905c07534cad83bae945aba539d3847cc19b060d2d

Observation 853e2309-c840-4ce6-95d9-2551aff2375c · inbound

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling cites this paper.

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling Qwen2 Technical Report

Reference 269

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:09:09.439499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:23:57.588851Z digest=sha256:d0685b380b520cc9fa12e0200faff394dd04a5c03f945706d90e3c20931f78bb

Observation 8587a28f-48f0-476b-a66f-4fb4495df64d · inbound

Exploring Cross-lingual Latent Transplantation: Mutual Opportunities and Open Challenges cites this paper.

Exploring Cross-lingual Latent Transplantation: Mutual Opportunities and Open Challenges Qwen2 Technical Report

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-05-23T07:05:29.081587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T07:05:16.608690Z digest=sha256:a7d807960455f9ac159696ae7458e5c484d8e79a72bf612270e302353636b110

Observation bd42723a-5685-4242-8026-bad94439ef40 · inbound

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference cites this paper.

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference Qwen2 Technical Report

Reference 206

Resolution
verified exact
local_arxiv, observed 2026-05-20T17:46:47.056294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-20T17:46:46.845424Z digest=sha256:c2f56dddce942fd60fff39bb6e8ef39cbb7ab7f5400b33df6089e45d441d7ebf

Observation 8b24c405-ffec-442a-ba06-02e74eaddb71 · inbound

Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation cites this paper.

Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation Qwen2 Technical Report

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-25T08:15:34.021406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-25T08:12:15.133695Z digest=sha256:265e20cb6ec809092dd72d0303e575b2decfbe9dd06943bcca7f7db4e6e5d07b

Observation da3aab17-f665-45c5-9afd-8dcef9527fb9 · inbound

Qwen2.5 Technical Report cites this paper.

Qwen2.5 Technical Report Qwen2 Technical Report

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-23T06:25:27.778054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T06:25:00.376073Z digest=sha256:528dac6226176db4f09609c33cde3e6189e472694c7bef321115970aeff3d134

Observation 67505b01-52e3-4ded-8b38-8b38452a0caf · inbound

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs cites this paper.

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs Qwen2 Technical Report

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-05-15T12:36:50.198626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T12:36:50.060335Z digest=sha256:0ed607369ef6c121aa189fd250b1255a5c03b7946119c9464b4093f46614220d

Observation 14958ba0-fdb0-431c-9524-5a0e854c9da8 · inbound

Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs cites this paper.

Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Qwen2 Technical Report

Reference 58

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T15:51:29.449430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-13T15:51:29.022336Z digest=sha256:5889a6a30672d86cf1fa09de60172c9be30e3844b00a6434cd7e9647e972d274

Observation 463fb720-fe7d-4c29-89a1-f28aa1587aa1 · inbound

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos cites this paper.

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos Qwen2 Technical Report

Reference 101

Resolution
verified exact
local_arxiv, observed 2026-05-16T11:39:22.480364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T11:39:22.340737Z digest=sha256:fc58769087b79042b4725ebfb9a3c9742595ec6299b2005ba95f2cff97baf039

Observation b41e0b10-9742-40a2-ac3f-41bed63ba181 · inbound

Search-o1: Agentic Search-Enhanced Large Reasoning Models cites this paper.

Search-o1: Agentic Search-Enhanced Large Reasoning Models Qwen2 Technical Report

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-05-13T17:36:27.617987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T17:36:27.515468Z digest=sha256:9ab9c0fedad6ef42eb7306cde752c7fd35d12d5bd9014727d599ddd2fd83085b

Observation 676b00b4-8b7e-4658-836c-a7455c4b21fa · inbound

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

The Lessons of Developing Process Reward Models in Mathematical Reasoning Qwen2 Technical Report

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-16T13:43:43.276924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T13:43:43.223872Z digest=sha256:fe02d191e98085ade809f1f8c1c548bcab8648bdf2cde4a510c6a24226cc9f45

Observation 972c9ce4-2cf1-4130-b6b6-96d9b5322bec · inbound

Qwen2.5-1M Technical Report cites this paper.

Qwen2.5-1M Technical Report Qwen2 Technical Report

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-15T05:26:00.165007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T05:25:59.964619Z digest=sha256:a72b7ccb58ebafdd5fcbc66e55eae8861edce8c7c85f498d45284b431ad95ce2

Observation 10d7725d-3b64-4b00-84f6-0989b9c41e29 · inbound

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model cites this paper.

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Qwen2 Technical Report

Reference 243

Resolution
verified exact
local_arxiv, observed 2026-05-13T17:30:03.055179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-13T17:30:02.803757Z digest=sha256:131381c4f3787450a8f0a004f0c8d9882b44692e008f0344d7b73d8bfb171278

Observation ab5754a3-0970-4ce6-857f-0f198f194d34 · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Qwen2 Technical Report

Reference 226

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verified exact
local_arxiv, observed 2026-05-23T04:32:33.118395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:24a59ee4e095198ab98a8cb565bf3ee64c620c26679cb15257c4d1bee29d2267

Observation fdcfedbb-1ef0-44da-a1e1-c91cfc26c526 · inbound

LIMO: Less is More for Reasoning cites this paper.

LIMO: Less is More for Reasoning Qwen2 Technical Report

Reference 102

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T02:11:37.322583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T02:11:36.932541Z digest=sha256:2636a2b0ae76cef4891968cf56d4813217152c213db5b7717a333215b292a336

Observation 8c87a499-80a4-40a5-abbe-f22a2355e97c · inbound

Large Language Diffusion Models cites this paper.

Large Language Diffusion Models Qwen2 Technical Report

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-11T01:42:55.097623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T01:42:54.279353Z digest=sha256:ea2f56740de5000d7287f35f2a84e7ee21b5a97f1d303243eb52501b46881ea2

Observation fcd0c925-89ee-46b2-b392-e371c8b109ce · inbound

Hallucinations are inevitable but can be made statistically negligible cites this paper.

Hallucinations are inevitable but can be made statistically negligible Qwen2 Technical Report

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-23T02:42:25.819237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:41:59.640979Z digest=sha256:a7e49e34a076df0d0421e7c79face9415f84cf089d1bd4bdd2d9f4c50cddab7c

Observation b5985d0c-0554-41db-a024-3d40beda290c · inbound

AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning cites this paper.

AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning Qwen2 Technical Report

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-05-16T20:06:27.264105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T20:06:27.136345Z digest=sha256:4b370b6572da56b4f83d6af1f9c06dd25519dad4c10cc6f4286924a6744163e4

Observation 224e6e15-0cac-48e6-9fb1-bb45a87e95e1 · inbound

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO cites this paper.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Qwen2 Technical Report

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-23T00:22:18.741868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:476eb2774f6df42f3b56bff06271451c06f7face7d7e6d7947578a85221f6a44

Observation 0da4a3f3-8d65-4ef7-b33e-c0b7fb6e7450 · inbound

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey cites this paper.

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey Qwen2 Technical Report

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-15T17:18:53.492766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T17:18:52.996467Z digest=sha256:b019b3bd662ff8db679a40cf30daf31b754bb78cad8b3548786e4105b22f3dcc

Observation abc066ec-d995-46f5-bf1d-adeca41db8b2 · inbound

XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants cites this paper.

XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants Qwen2 Technical Report

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-05-22T23:57:17.063078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T23:55:14.887237Z digest=sha256:c95cdc4a4eddd7b523d44f8f6ea2f9d1a88c3030bbe3f9aa67445e673c6e8f43

Observation ed2b3aac-ff6b-4290-b023-a2848e886a98 · inbound

Qwen2.5-Omni Technical Report cites this paper.

Qwen2.5-Omni Technical Report Qwen2 Technical Report

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-10T17:54:03.449361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:54:03.225439Z digest=sha256:fdcfa5ef0a257258e375ac3cfb859a6e782db01fe80d4b3d45730ed15379bd64

Observation 889d9273-cc46-4b2c-a6df-a9acc8ab0a11 · inbound

An Empirical Study of Validating Synthetic Data for Text-Based Person Retrieval cites this paper.

An Empirical Study of Validating Synthetic Data for Text-Based Person Retrieval Qwen2 Technical Report

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-05-22T23:02:13.633910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T22:59:36.542774Z digest=sha256:a19e444dedc48b84a5e310ba128874fb77ed9b5f9afee2813956328777c3be43

Observation 361a88ac-463b-46a7-8975-7a1fe492437b · inbound

When 'YES' Meets 'BUT': Can Large Models Comprehend Contradictory Humor Through Comparative Reasoning? cites this paper.

When 'YES' Meets 'BUT': Can Large Models Comprehend Contradictory Humor Through Comparative Reasoning? Qwen2 Technical Report

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-05-22T22:42:13.627922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T22:38:35.969273Z digest=sha256:f23c63a1d9eae31b32ccb65f18fe91a41a410f140728efc0791ee79c1905ac64

Observation 571e410e-28de-4fb2-a8ac-6fd6491cbd27 · inbound

Perception Encoder: The best visual embeddings are not at the output of the network cites this paper.

Perception Encoder: The best visual embeddings are not at the output of the network Qwen2 Technical Report

Reference 154

Resolution
verified exact
local_arxiv, observed 2026-05-13T22:21:15.787953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T22:21:15.681336Z digest=sha256:3faa1a93f15df7957920c5815105f6a867226e1d6335f938ee6ed5cb705f38bb

Observation ae17b991-fa68-4aa0-b44f-569e1b20dbaf · inbound

PRIMETIME : Limits of LLMs in Temporal Primitives cites this paper.

PRIMETIME : Limits of LLMs in Temporal Primitives Qwen2 Technical Report

Reference 95

Resolution
verified exact
local_arxiv, observed 2026-05-22T18:36:58.712917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T18:36:48.376877Z digest=sha256:d27473c77fc7c9359eab55ce47dd6f767b28c9bef83bd68bfcf9d8e718d569ea

Observation 0bb94e6e-e22a-49c8-9323-680e603dcf4c · inbound

Compass: SLO-aware Query Planner for Compound AI Serving at Scale cites this paper.

Compass: SLO-aware Query Planner for Compound AI Serving at Scale Qwen2 Technical Report

Reference 95

Resolution
verified exact
local_arxiv, observed 2026-05-22T19:15:03.462898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T19:14:58.225504Z digest=sha256:6ccd7079e341bcd4591d6f1113b590de8c8f56fcce830e83af2479361227e4b7

Observation 7b435c08-1e7f-4f84-9097-03c1cc162baf · inbound

Distilling Specialized Orders for Visual Generation cites this paper.

Distilling Specialized Orders for Visual Generation Qwen2 Technical Report

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T17:51:54.555636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T17:51:04.337451Z digest=sha256:ecc545720a0074a927a9491fb84d23128ab1b93f610e49f4298c267d7f866936

Observation 2f6646da-4a0b-406b-8b3d-4263c157fed6 · inbound

WebThinker: Empowering Large Reasoning Models with Deep Research Capability cites this paper.

WebThinker: Empowering Large Reasoning Models with Deep Research Capability Qwen2 Technical Report

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-05-16T19:14:25.343531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T19:14:25.283645Z digest=sha256:ba7b9cc42797197ce1bc3bb1554f08ff54e645af22ea5236977894bf862f8784

Observation 838077f3-4074-49ab-9cd0-a8faccda9e42 · inbound

Qwen3 Technical Report cites this paper.

Qwen3 Technical Report Qwen2 Technical Report

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:09:09.439499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:a22e2e993f40ef01ad01dd54ea5e99afb74134028cc39636fe56030077fbf5fc

Observation 91edd229-763f-4a17-bdaa-a6756a424740 · inbound

XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration cites this paper.

XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration Qwen2 Technical Report

Reference 95

Resolution
verified exact
local_arxiv, observed 2026-05-22T14:44:55.081016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T14:43:19.221814Z digest=sha256:73724bc6e216a831b8ba7aeab4a2e7d4533a664184b071dc3a8bed33222afef5

Observation 8e0ff273-9888-466d-9a18-fa231f8bdeb5 · inbound

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning cites this paper.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Qwen2 Technical Report

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-05-22T14:01:38.451746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:58:07.913104Z digest=sha256:ccd26f852267cfd8f690403f21f20f614a9e8fe52d08d1ee96a2d4856908c695

Observation c28f898e-5957-4373-934a-64a807a44ab8 · inbound

ALIEN: Aligned Entropy Head for Improving Uncertainty Estimation of LLMs cites this paper.

ALIEN: Aligned Entropy Head for Improving Uncertainty Estimation of LLMs Qwen2 Technical Report

Reference 47

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T14:01:37.928605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T14:01:22.844421Z digest=sha256:5bee09e89e83c0e12dafe152393d10c169ff7d52deee571cc3f27942f5fa2c42

Observation 96cb2585-a28b-469f-906f-1e56ba80d457 · inbound

Advancing Multi-Agent RAG Systems with Minimalist Reinforcement Learning cites this paper.

Advancing Multi-Agent RAG Systems with Minimalist Reinforcement Learning Qwen2 Technical Report

Reference 90

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:34:53.154410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:34:27.152447Z digest=sha256:4b5cd279b7a25ede32e607eaed5817bdb945ecd8359f792c42efac1d2307b224

Observation 243339bc-1b2d-403b-973a-314a30324341 · inbound

RAP: Runtime Adaptive Pruning for LLM Inference cites this paper.

RAP: Runtime Adaptive Pruning for LLM Inference Qwen2 Technical Report

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:21:35.586942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:20:41.739571Z digest=sha256:14272f7f9247f00f80ef9917493cdfbd5f8a3b2d4fc1574e4ff1940310eb7089

Observation f828115e-b5b2-400e-bc81-516884a58033 · inbound

GradPower: Powering Gradients for Faster Language Model Pre-Training cites this paper.

GradPower: Powering Gradients for Faster Language Model Pre-Training Qwen2 Technical Report

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-22T02:50:58.400221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T02:48:23.732350Z digest=sha256:d91402e4d4078a0785a0cbc4a9666358fc5f2928aab1134f4488a8f8a06d0232

Observation 8e95d209-1f9a-49ad-9483-8d18022122d3 · inbound

Overfitting has a limitation: a model-independent generalization gap bound based on R\'enyi entropy cites this paper.

Overfitting has a limitation: a model-independent generalization gap bound based on R\'enyi entropy Qwen2 Technical Report

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-22T02:24:31.023013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T02:21:32.991341Z digest=sha256:69424d3856a50ab0bdf17024e9ad2eafb5400f64530349cbd01bce5a1d62f93b

Observation 55fb95c1-4d91-4eb4-97df-eaeba55dc181 · inbound

ProRank: Prompt Warmup via Reinforcement Learning for Small Language Models Reranking cites this paper.

ProRank: Prompt Warmup via Reinforcement Learning for Small Language Models Reranking Qwen2 Technical Report

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T12:02:16.820814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T11:57:59.100971Z digest=sha256:f5e42aadd1f952770c5f5929f5cbda9d3c2b664bb36512d8328d50148bf65e9a

Observation 82656867-18ed-4b56-a48e-7d77622b7fc6 · inbound

Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource cites this paper.

Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource Qwen2 Technical Report

Reference 44

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T00:05:47.769523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T00:05:08.916339Z digest=sha256:411c5aeb38f0c7ed877002e55136b657dd33b7fe4b05e77a5a0f12a1273a1d0b

Observation 317991fc-09cc-4704-afcc-36924814e05b · inbound

The Generalization Ridge: Information Flow in Natural Language Generation cites this paper.

The Generalization Ridge: Information Flow in Natural Language Generation Qwen2 Technical Report

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-19T05:32:05.718521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T05:30:38.612759Z digest=sha256:5526337418e4c803a6a510ed55ca218684681d7c9bec424dede8abc49a34340a

Observation 303a46e3-4b45-4567-88f7-43ab8ae4cc82 · inbound

MetaLint: Easy-to-Hard Generalization for Code Linting cites this paper.

MetaLint: Easy-to-Hard Generalization for Code Linting Qwen2 Technical Report

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-19T04:12:02.891651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-19T04:07:31.283348Z digest=sha256:74f5d0f818bb4f98d300ab2ed206054290506b00a93209e28eb7fc5f63625fd9

Observation 1407d8f6-fa7a-4492-8a36-f138ce956f1c · inbound

ReGATE: Learning Faster and Better with Fewer Tokens in MLLMs cites this paper.

ReGATE: Learning Faster and Better with Fewer Tokens in MLLMs Qwen2 Technical Report

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:22:01.222133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-19T03:18:11.993413Z digest=sha256:4757a71e28bb45bffe803efecd7138144ea9a4c9e48e96e5464301885b964a4e

Observation c435dc7f-4ed9-4eca-9380-398bd4a83031 · inbound

CADDesigner: Conceptual CAD Model Generation with a General-Purpose Agent cites this paper.

CADDesigner: Conceptual CAD Model Generation with a General-Purpose Agent Qwen2 Technical Report

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-19T01:11:57.279691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T01:10:05.086857Z digest=sha256:8aba1fc4b03f3190ce28781338d6054b2f391972702a97222aaadfb566480038

Observation 7623d4a7-10f9-4856-8e1e-00cf5334d7ab · inbound

CADDesigner: Conceptual CAD Model Generation with a General-Purpose Agent cites this paper.

CADDesigner: Conceptual CAD Model Generation with a General-Purpose Agent Qwen2 Technical Report

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-21T23:05:43.501558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T23:04:39.225189Z digest=sha256:9e6663fd719dc3b292797508bc3867db538da2bb9bc29337d0c84c69449f12dd

Observation 1fd52e62-db4f-4140-8935-6923c8d8dd34 · inbound

Input-Time Scaling: Adding Noise and Irrelevance into Less-Is-More Drastically Improves Reasoning Performance and Efficiency cites this paper.

Input-Time Scaling: Adding Noise and Irrelevance into Less-Is-More Drastically Improves Reasoning Performance and Efficiency Qwen2 Technical Report

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-18T22:46:53.834352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T22:42:53.663354Z digest=sha256:ecce055d732dcde2ba25161f1af55d75b6f264e8dbbc4cbcf6aa49c5875fe236

Observation 64f9cd04-3d46-474e-a25e-43d2a069ede4 · inbound

CogDriver: Integrating Cognitive Inertia for Temporally Coherent Planning in Autonomous Driving cites this paper.

CogDriver: Integrating Cognitive Inertia for Temporally Coherent Planning in Autonomous Driving Qwen2 Technical Report

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-18T20:11:50.813666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:10:43.416488Z digest=sha256:fd8b81f2f36a9979c771717ba44c6071dc52f9bd8000781423372533bf2a53f2

Observation c58f9a4a-99b7-435d-b68b-95933d65203f · inbound

SpikingBrain: Spiking Brain-inspired Large Models cites this paper.

SpikingBrain: Spiking Brain-inspired Large Models Qwen2 Technical Report

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-18T18:51:45.627849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T18:51:06.243305Z digest=sha256:4dbea7b5e9b79e70b713c6920cc8d95fc4e98b6c6aeaf0833951e64e651335f3

Observation 3c280ac6-0134-4f1f-8883-bce2d48ba846 · inbound

SWE-QA: Can Language Models Answer Repository-level Code Questions? cites this paper.

SWE-QA: Can Language Models Answer Repository-level Code Questions? Qwen2 Technical Report

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-18T16:41:37.797834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T16:41:29.829199Z digest=sha256:863c4f10a3474c16010480bea2698e27eea181306fdffda75ebdf56da9c27ca2

Observation ff55fc10-145d-47d9-a655-bc7e609b9c62 · inbound

Towards Building Speech Large Language Models for Multitask Understanding in Low-Resource Languages cites this paper.

Towards Building Speech Large Language Models for Multitask Understanding in Low-Resource Languages Qwen2 Technical Report

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-18T16:31:37.246569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T16:27:37.596817Z digest=sha256:73ff367f1f413fb0507fd992892da53361a3a492a509b515c15ec07f137cd448

Observation 4aa6cb9b-c203-4b99-af49-bb0996ba0bdd · inbound

Qwen3-Omni Technical Report cites this paper.

Qwen3-Omni Technical Report Qwen2 Technical Report

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-11T00:20:38.121354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T00:20:37.406351Z digest=sha256:7c0bfd5e64fc86c85b16053ec7b9492df42c8d6164e34208da18debfdd0dfa52

Observation d085e7ba-d056-43f5-b558-19c4d19d0bc2 · inbound

Toward Robust and Efficient ML-Based GPU Caching for Modern Inference cites this paper.

Toward Robust and Efficient ML-Based GPU Caching for Modern Inference Qwen2 Technical Report

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-18T14:32:40.070846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T14:29:20.060855Z digest=sha256:044d484b59549fabb21b38cf8cecd127fcda81cc6706064a53e7f979639908e2

Observation e13aca8d-be55-4f79-a6c5-0feb2200e829 · inbound

Multilingual Vision-Language Models, A Survey cites this paper.

Multilingual Vision-Language Models, A Survey Qwen2 Technical Report

Reference 156

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T13:02:37.402612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T13:02:08.000814Z digest=sha256:75fd6772e7e160fb0b48336199a03b52227225c3061a6c507721df8a66a4471d

Observation 93f37dde-91f7-4890-874a-25a952bcf41d · inbound

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing cites this paper.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Qwen2 Technical Report

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-17T13:25:32.043633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T13:25:31.884175Z digest=sha256:2d6cbf1c689162d68051c5f697edb194115930244db43556b0b28a3c8a5bd1c8

Observation ede3ff3e-9c07-4555-9738-87c7d8382677 · inbound

On the Shelf Life of Fine-Tuned LLM-Judges: Future-Proofing, Backward-Compatibility, and Question Generalization cites this paper.

On the Shelf Life of Fine-Tuned LLM-Judges: Future-Proofing, Backward-Compatibility, and Question Generalization Qwen2 Technical Report

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-05-18T12:56:24.608747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T12:53:45.767341Z digest=sha256:f2de2d28f55506d669ca96c0432654ed274553c01aa9b164d6423337f9b5c942

Observation 2b0d5996-fd96-4dfa-9cda-5df32c29ea00 · inbound

Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis cites this paper.

Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis Qwen2 Technical Report

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-18T13:31:25.446040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T13:26:59.080330Z digest=sha256:915a5dc8db48678e92f8d850c1ee61d00aa336ec12d82e82aab6aeae8e630d99

Observation 6dc29fc5-7232-4447-ab38-9c65df8c5b60 · inbound

Diamonds in the rough: Transforming SPARCs of imagination into a game concept by leveraging medium sized LLMs cites this paper.

Diamonds in the rough: Transforming SPARCs of imagination into a game concept by leveraging medium sized LLMs Qwen2 Technical Report

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-21T22:00:41.369288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T22:00:10.436235Z digest=sha256:404947261f6c197750e1a2b9c7c47793dfaec36f0fbe69d381fcb2eec8106614

Observation 8b03d6a4-258e-4867-b688-d9eaabdfb136 · inbound

Deep Thinking by Markov Chain of Continuous Thoughts cites this paper.

Deep Thinking by Markov Chain of Continuous Thoughts Qwen2 Technical Report

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-18T12:26:22.256853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T12:24:43.780611Z digest=sha256:1f0688647572a74b0965122c2d15d230d27c082e4d2eec60f4bbf5cae8245c83

Observation 5a0b4ad0-cdb2-4eec-bd5a-47c8161cabf1 · inbound

SeedPrints: Fingerprints Can Even Tell Which Seed Your Large Language Model Was Trained From cites this paper.

SeedPrints: Fingerprints Can Even Tell Which Seed Your Large Language Model Was Trained From Qwen2 Technical Report

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-18T12:01:21.060104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T12:00:53.071212Z digest=sha256:c9f468852971b9097418604a0060bbe489b1c086e34273c96356aa9f7a30a360

Observation 66b329d6-762f-4dc0-a78f-16a19cf61d9c · inbound

Entropy After </Think> for reasoning model early exiting cites this paper.

Entropy After </Think> for reasoning model early exiting Qwen2 Technical Report

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-18T11:52:35.582663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T11:51:58.579048Z digest=sha256:6935b2a68eb2c0b97c0740396b3e659472dee841d87ed635cb86a862d9607d8e

Observation 7ada4517-83da-44f3-a5ae-0b2bf54d8291 · inbound

Detecting LLM-Generated Spam Reviews by Integrating Language Model Embeddings and Graph Neural Network cites this paper.

Detecting LLM-Generated Spam Reviews by Integrating Language Model Embeddings and Graph Neural Network Qwen2 Technical Report

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-18T10:42:35.978331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T10:41:30.529576Z digest=sha256:a0161aff433f087345475b53b64886542aa370bcab61423545255119852c0a40

Observation 050bc932-d841-4a88-98ba-52ef43df814d · inbound

The Signal is in the Steps: Local Scoring for Reasoning Data Selection cites this paper.

The Signal is in the Steps: Local Scoring for Reasoning Data Selection Qwen2 Technical Report

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-18T10:16:14.184808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T10:14:27.739531Z digest=sha256:b5c2df9a4920b9c53d11ae4a416a76d8470cc3c9db73459fb21a93788943c21b

Observation 2ccb3277-0b37-41c2-99bf-823087b4b022 · inbound

On the Sensitivity of Instruction-tuned LLMs to Harmful Sentences in Long Inputs cites this paper.

On the Sensitivity of Instruction-tuned LLMs to Harmful Sentences in Long Inputs Qwen2 Technical Report

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T11:17:06.921092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:17:06.921092Z digest=sha256:2b4cb0d132d2ea25abdf3c57a8b970e2fb73580c0dd93ce92b4b6475960cd61d

Observation 0f1e6c3f-a881-4ddb-8775-0792ef8feba8 · inbound

Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-Experts cites this paper.

Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-Experts Qwen2 Technical Report

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-21T20:40:36.444220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T20:36:22.974054Z digest=sha256:eae24b5bbd75a9d07eb3aa0fb1dd2fbea03e5c65e8313deb681f9464500cef4f

Observation c932068c-2407-44b3-83cf-a674001417f8 · inbound

FinAuditing: A Financial Taxonomy-Structured Multi-Document Benchmark for Evaluating LLMs cites this paper.

FinAuditing: A Financial Taxonomy-Structured Multi-Document Benchmark for Evaluating LLMs Qwen2 Technical Report

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-05-21T21:04:21.625060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T21:01:59.463230Z digest=sha256:582737ed35332b9b5bee2fe61b79b46af5821507ce152655e7426d004412016f

Observation abd957f9-60c6-4341-93be-961208a11a16 · inbound

Don't Tell the Answer, Truly Guide the Reasoning During RL Rollouts cites this paper.

Don't Tell the Answer, Truly Guide the Reasoning During RL Rollouts Qwen2 Technical Report

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T10:39:28.467351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:39:28.467351Z digest=sha256:43143004880e502cd46be09439adc5f73568b9affa5feb218ea54027d4e7fd3b

Observation c7a27a14-81ad-4e4c-b022-6ab3588316c9 · inbound

Mind-Paced Speaking: A Dual-Brain Approach to Real-Time Reasoning in Spoken Language Models cites this paper.

Mind-Paced Speaking: A Dual-Brain Approach to Real-Time Reasoning in Spoken Language Models Qwen2 Technical Report

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T07:46:03.566003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:43:23.913399Z digest=sha256:7d27e1e0e6f99a271be2d6c1e3c956b9b74ef04a6e76cf4c39a8bab9ed9a4a51

Observation 2a4d142d-1f4e-4c3e-ae2e-590cc8d9f3f6 · inbound

K-Merge: Online Continual Merging of Adapters for On-device Large Language Models cites this paper.

K-Merge: Online Continual Merging of Adapters for On-device Large Language Models Qwen2 Technical Report

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-04T09:47:28.229505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:47:28.229505Z digest=sha256:a4df87667cedc0ed664ad317c61a9b82466b8f37bb7031d684acb8c18e40cf7a

Observation 22feded1-29e8-4d59-916d-a32e53e1872e · inbound

False Fixed Points: Kantian Feedback, Stable Miscalibration, and Representational Compression in LLMs cites this paper.

False Fixed Points: Kantian Feedback, Stable Miscalibration, and Representational Compression in LLMs Qwen2 Technical Report

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T09:33:43.103533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:33:43.103533Z digest=sha256:69d2f7b7d675aa35b78a3c98493bef14639adbcd3fcdf82512a9990991c3e389

Observation d839e5ce-e9d8-41e9-a660-3ea6a4ba4875 · inbound

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses cites this paper.

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses Qwen2 Technical Report

Reference 212

Resolution
unresolved
no resolver link, observed 2026-08-04T09:25:58.067427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:25:58.067427Z digest=sha256:8602b5d338cdc8a9ca51118c77921426948e2350db0a22db1827735917d90eed

Observation 866e2382-83e8-4755-ba63-f29cb513c160 · inbound

Expert Merging in Sparse Mixture of Experts with Nash Bargaining cites this paper.

Expert Merging in Sparse Mixture of Experts with Nash Bargaining Qwen2 Technical Report

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-04T09:21:53.090900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:21:53.090900Z digest=sha256:9190dee2d9d8eac150b1e33f192195436434fba4f0bf79459cf424d3cad97698

Observation f53a38a8-a1a6-45d2-9e95-6b54bfb8541f · inbound

Rethinking On-policy Optimization for Query Augmentation cites this paper.

Rethinking On-policy Optimization for Query Augmentation Qwen2 Technical Report

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T09:08:03.438777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:08:03.438777Z digest=sha256:d631d5f5e6d30e1fb310dc4328fb74f6d8d5cab5a37b1385785ced667803595e

Observation bb6051be-91ee-452d-be93-5bdb7bc65a42 · inbound

Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations cites this paper.

Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations Qwen2 Technical Report

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T09:08:49.973373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:08:49.973373Z digest=sha256:568131687237b1f69a47c9b4f0ab0936b4330c73fbff04431765cc8172de60cc

Observation 3c2098a1-d92b-47a9-9f8a-72f3df8d1add · inbound

MTraining: Distributed Dynamic Sparse Attention for Efficient Ultra-Long Context Training cites this paper.

MTraining: Distributed Dynamic Sparse Attention for Efficient Ultra-Long Context Training Qwen2 Technical Report

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-21T19:44:19.701904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T19:44:04.833504Z digest=sha256:1c6696e36c49ba4b39d9004314b566dfbc7d38880f4a8a647e45a6c8c41e4c82

Observation 22b7120c-fa89-49d4-a8fa-9cdcafea1985 · inbound

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models cites this paper.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models Qwen2 Technical Report

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T08:37:10.663307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:37:10.663307Z digest=sha256:047f6f8daef5ee634460ee37879ad59194260865a22c5c142dd4fe08dbaf6083

Observation 4cdd4e40-3c36-4893-ab1a-e1f0f83c715c · inbound

UniSE: A Unified Framework for Decoder-Only Autoregressive LM-Based Speech Enhancement cites this paper.

UniSE: A Unified Framework for Decoder-Only Autoregressive LM-Based Speech Enhancement Qwen2 Technical Report

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-04T08:29:22.093500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:29:22.093500Z digest=sha256:86c185140f6eeafc420d92766b8e6efb9b5079f578e2f43606833b35ceff6a73

Observation 3c4f8fc1-c89f-4435-a480-7e0c3e8699cc · inbound

LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation cites this paper.

LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation Qwen2 Technical Report

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-05-18T04:30:53.706582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:26:15.232765Z digest=sha256:5b5b3f74be9ff51e6d9faaf910eee33d4e658bd8e39f93eeb9c78d115f7f5bf4

Observation 59c039da-f72c-48b8-ad6c-bc0042a008ef · inbound

LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation cites this paper.

LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation Qwen2 Technical Report

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-04T08:21:31.525244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:21:31.525244Z digest=sha256:3d2d81eac198dfd1eb6838fbe6a3e06d9efc81a879158b236e81a852058293d8

Observation e4893683-861d-459f-bd75-e55206f73fcf · inbound

GRAPHIA: Harnessing Social Graph Data to Enhance LLM-Based Social Simulation cites this paper.

GRAPHIA: Harnessing Social Graph Data to Enhance LLM-Based Social Simulation Qwen2 Technical Report

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T03:50:51.952803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T03:47:33.693517Z digest=sha256:03966c2bacf39e9c9034a902c38e34f4a980ffc637ee12447705a51b4bb8fde4

Observation 4aae5582-7387-43e6-8fc3-7294349b5a05 · inbound

Scaling Latent Reasoning via Looped Language Models cites this paper.

Scaling Latent Reasoning via Looped Language Models Qwen2 Technical Report

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-15T07:43:11.670367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T07:43:11.620446Z digest=sha256:9869fc989c5556c26a41ecddb7345d8709b340a6a4a2ec6222645420fbf2ad85