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Paper Citation Record · LEDGER

Qwen3 Technical Report

As of 7 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 100 inbound Pith citation observations for arXiv:2505.09388.

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

pith.paper-citation-record.v1
2505.09388 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T06:35:27.813995Z

measured 141 of 141 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 100 of 4901 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:04:16.776361Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:27:46.490459Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact34
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2592102c-482c-45f7-acc9-c6df1065bf64 · outbound

This paper cites Phi-4 Technical Report.

Qwen3 Technical Report Phi-4 Technical Report

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:34:04.627981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:7bdff62447176e7239bd2a7e6d2d9cd7ffcaaf2d534f258895dd10c6afa8b0d4

Observation 5560fb24-2758-484d-b191-16663ffb6136 · outbound

This paper cites Training-Free Long-Context Scaling of Large Language Models.

Qwen3 Technical Report Training-Free Long-Context Scaling of Large Language Models

Reference 2

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verified exact
arxiv_id, observed 2026-05-09T06:35:28.411146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:de40c7c9ce936abda8b920e568b9b6019792e976a0fc36538c1ac305c0305be8

Observation 46311583-9490-4cd3-bd39-92e7abaaf507 · outbound

This paper cites Program Synthesis with Large Language Models.

Qwen3 Technical Report Program Synthesis with Large Language Models

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T06:35:28.426565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:18250144d3b3261d560f2759756d3cda9548650fb31283224dca9a89e2bac0c5

Observation 2cca310d-c012-43b5-a232-d9e3dea8a6f3 · outbound

This paper cites Qwen Technical Report.

Qwen3 Technical Report Qwen Technical Report

Reference 4

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verified exact
arxiv_id, observed 2026-05-09T06:35:28.432599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:6d5972da86f650f7931ea8d8b8ac77a262b06d9becb0610cefb73f748cce13fc

Observation 149ce03c-abd7-43fa-91a9-6f292ea4d26b · outbound

This paper cites Qwen2.5-VL Technical Report.

Qwen3 Technical Report Qwen2.5-VL Technical Report

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:35:28.441368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:75f92f2702c061836f558df66eff24e5870fe480812269d2ded9a512bee1fb47

Observation ae538013-3ffe-476a-807a-4989d90432be · outbound

This paper cites The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants.

Qwen3 Technical Report The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants

Reference 6

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verified exact
arxiv_id, observed 2026-05-09T06:35:28.449337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:d92653835def070890daf90910a6e37e1cfeae40c782b73ff8f110560bc98fb7

Observation 1f507d91-7dcb-4e69-bc06-95d5ad6a39fb · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Qwen3 Technical Report Evaluating Large Language Models Trained on Code

Reference 7

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verified exact
local_arxiv, observed 2026-05-09T06:35:28.456117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:63453383b675c2b16286fb6f2d60bf7eb1397cde270f60bd98abece2dbf4577b

Observation 92779c05-4c8d-4428-a55b-fc9698b05359 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Qwen3 Technical Report Training Verifiers to Solve Math Word Problems

Reference 8

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arxiv_id, observed 2026-05-09T06:35:28.461265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:97ff0b221022de434c98762f87a1cc085bd1ec4be606ce3d55ea203cd8a20e3a

Observation 75064666-870a-4b7a-b891-31c2f33eb0c0 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Qwen3 Technical Report DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 9

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verified exact
arxiv_id, observed 2026-05-11T22:50:20.439308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:20fb169aa8fd92f7ed9ac5bd85a7703713b662263d03123152a3ed15b33832ba

Observation db1c2ddf-3ece-452c-a5f4-8f84522acfe7 · outbound

This paper cites an unresolved cited work.

Qwen3 Technical Report Unresolved cited work

Reference 10

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unresolved
raw_fallback, observed 2026-05-09T06:35:28.639192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:c75fdb95b4174868b0bfec8784a67e6868a2def8e61fb14cf226926c402ae1ed

Observation d079850d-5e14-4808-863b-7949174fd1a9 · outbound

This paper cites SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines.

Qwen3 Technical Report SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

Reference 11

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arxiv_id, observed 2026-05-16T00:47:04.366365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:c001174745eff62c681ac5a934a778adcc91a868d7e6796c575206f1fa105a65

Observation b482f24f-bbd4-4ed7-81d0-4af0bee93b0f · outbound

This paper cites The Llama 3 Herd of Models.

Qwen3 Technical Report The Llama 3 Herd of Models

Reference 12

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verified exact
local_arxiv, observed 2026-05-09T06:35:28.488468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:c10c4e429bf65f323be7a9cc1f6456599bcbdf7b735f7ca920c85f949763680e

Observation 0e69eb72-b581-491f-aef7-6907b899adb2 · outbound

This paper cites DoGE: Domain Reweighting with Generalization Estimation.

Qwen3 Technical Report DoGE: Domain Reweighting with Generalization Estimation

Reference 13

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verified exact
arxiv_id, observed 2026-05-09T06:35:28.492131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:e14ac9f8755986670ec8e8ca169ce07e29a1897bcd2e6452c49b4c64219ba55a

Observation 2f74c340-97fe-47bd-91f8-12ded746f83d · outbound

This paper cites Are We Done with MMLU?.

Qwen3 Technical Report Are We Done with MMLU?

Reference 14

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verified exact
arxiv_id, observed 2026-05-09T06:35:28.499063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:15a2b2c419778f17eafe5acd2dea07f865a8ea5e5123d5b8b5933810cf98cebf

Observation 3d3bd831-348d-4b8e-ab23-bdb31d9cc0e1 · outbound

This paper cites CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution.

Qwen3 Technical Report CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:57:16.443569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:72620cf241cc245b0b12215e5f9a11accfe38062938d580fc3a16cc951051369

Observation de132211-36e5-4928-943e-0d0bfd0276ff · outbound

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

Qwen3 Technical Report DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-09T06:35:28.514089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:b91b4772956013c83fbbcfb058bb9f9fec80f1c560751dd43459c1bd429d3310

Observation 23eff24a-7695-4818-97ec-809f5d827dfb · outbound

This paper cites Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following.

Qwen3 Technical Report Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:35:28.517996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:7770b150797a295e64547761e94b545c3df9740b0b07ceb3bc4e00ac19a6b521

Observation a77f06ac-0280-4426-aa3b-217160ca3878 · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

Qwen3 Technical Report RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:55:20.729537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:34386fd8c4b8ff81c65b000f93404afb0e460023bc9c9658a791bb694b4c5c8e

Observation e8cf0e69-ee17-4a5a-b03f-614d0f7ece95 · outbound

This paper cites Qwen2.5-Coder Technical Report.

Qwen3 Technical Report Qwen2.5-Coder Technical Report

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:33:39.124611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:af0f024e2e0b105e3a11cfc833ad3034354a9b8f0d1c288f42eb490d68ec38c1

Observation f63573d7-c331-42c2-aec4-b1336a2f0489 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Qwen3 Technical Report LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 20

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verified exact
arxiv_id, observed 2026-05-10T17:34:43.229714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:6e9129e4dfe2fa62718ec0df0a9a8d3496ad0561cfa4fd8265b96ee277d4262b

Observation 16dfbadf-cf28-4349-ae55-b220e447db1a · outbound

This paper cites Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers.

Qwen3 Technical Report Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers

Reference 21

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verified exact
arxiv_id, observed 2026-05-09T06:35:28.540718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:b961d0818850f3e410385cf64b3463a74ccb1a9e2299cdb07ca9242293dd6ef2

Observation a7e29e59-5235-4963-bdc1-ea08784dd5a8 · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Qwen3 Technical Report Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:06:39.239829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:62aec077724ca49dbaa69c2b158d0747bdf4035c48e53cbf6efad4b8c42a397b

Observation eb5e6986-17d3-4e71-9ca3-c7408c504eac · outbound

This paper cites From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline.

Qwen3 Technical Report From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline

Reference 23

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metadata mismatch
arxiv_id, observed 2026-05-09T06:35:28.553855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:f0e3e6bc0f1463b6ade972fd052ce3075de141fd593f8950729f659a16dc3c0a

Observation 78d9d743-9321-4479-95cf-2c42899e7d5b · outbound

This paper cites Let's Verify Step by Step.

Qwen3 Technical Report Let's Verify Step by Step

Reference 24

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verified exact
arxiv_id, observed 2026-05-10T15:37:21.446492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:219d775830fcf7be8a05bd169170f43fcc7d11c0e3cf2c789e2b71a6a64f2e09

Observation dc506c94-06cc-4389-8fe7-c0f6d25fa85b · outbound

This paper cites ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning.

Qwen3 Technical Report ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 25

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verified exact
arxiv_id, observed 2026-05-09T06:35:28.564170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:b52efecdb46a1f1d112388d7054f1a00696432be1eb4f58da5c08224a9a7d16d

Observation d9fade7b-f7a2-4cb1-bb88-9bc0b3a71a01 · outbound

This paper cites DeepSeek-V3 Technical Report.

Qwen3 Technical Report DeepSeek-V3 Technical Report

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:35:28.570224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:7ac0618b313ab94ce2e646f033af31bdbee835b50149ecaf610c26fff9b8867b

Observation 59c6e2d2-9f2c-46f4-b7ba-a57a24b25829 · outbound

This paper cites YaRN: Efficient Context Window Extension of Large Language Models.

Qwen3 Technical Report YaRN: Efficient Context Window Extension of Large Language Models

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:46:51.373347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:41b0f49489444d5bbfb4c1ddc51fb6d1565a8ea0bfa984e1c2e0195503577c6f

Observation 3fb5fb12-d4c3-4807-a719-3be2e722a6dd · outbound

This paper cites Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models.

Qwen3 Technical Report Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:35:28.577251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:28474135a86f668e58226428006049c6468e246aea6263dfd005ab447bfed5ed

Observation d3ac7d4f-3fd2-4b35-abfa-1568aaa272c6 · outbound

This paper cites CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings.

Qwen3 Technical Report CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:35:28.581174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:4845ca8a86f7b28066f3c7d1db933c61cc1c6a187799c5638504ca1954e4008a

Observation 97e30be8-daf7-437a-a61e-c6eee9123e02 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Qwen3 Technical Report GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:00:34.729655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:b5522403d192953db8c6054b5e61bdad0e0c033d15289d07295103491dab30db

Observation 7559d1bd-ac40-4eb6-99cc-2e47914b6272 · outbound

This paper cites INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge.

Qwen3 Technical Report INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:35:28.592152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:b2de9d224befbb1eb8420cbf0da31e85109dabf089da32f55daff9f5a0dbe3bf

Observation fddf4c5b-6d6f-4393-b59a-d2934a7e0fe0 · outbound

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

Qwen3 Technical Report DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-09T06:35:28.596752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:9e28079c17c4ee1afd36b4aab781b96ccf375636f6ac0396a841085ac2e92c05

Observation fd670f32-af9d-43d2-ba4c-3222834f5dcd · outbound

This paper cites Linguistic Generalizability of Test-Time Scaling in Mathematical Reasoning.

Qwen3 Technical Report Linguistic Generalizability of Test-Time Scaling in Mathematical Reasoning

Reference 33

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verified exact
arxiv_id, observed 2026-05-09T06:35:28.604218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:7a282845b7a786bd8d9f976bda73b03f14b2bbb90fde181299f8de5948879930

Observation 62295fd4-ecaf-4dc4-80fa-d10bed31b59e · outbound

This paper cites Gemma 3 Technical Report.

Qwen3 Technical Report Gemma 3 Technical Report

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-09T06:35:28.607501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:b42059e9a2cdecefd4e17ba90b2a77a3fc9a9189b3af4b9829de9f7837f5fb90

Observation add70447-8e26-4327-81e8-9795bd1463e3 · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

Qwen3 Technical Report MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:51:14.588885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:e83c386cd232e76fac6a684881744da908865ae1e13a92c16a0b362fb8606a78

Observation 16f5ea87-354e-44e3-80b1-635c47bebc15 · outbound

This paper cites LiveBench: A Challenging, Contamination-Limited LLM Benchmark.

Qwen3 Technical Report LiveBench: A Challenging, Contamination-Limited LLM Benchmark

Reference 36

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arxiv_id, observed 2026-05-15T04:48:26.603034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:b8becdf02fcf6af8d7e583b82adfa8b56e0632d0390ae723402a670cba9b3a66

Observation e5e4eab7-1a19-4637-93e3-28c5a550f22a · outbound

This paper cites Writingbench: A comprehensive benchmark for generative writing.

Qwen3 Technical Report Writingbench: A comprehensive benchmark for generative writing

Reference 37

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verified exact
arxiv_id, observed 2026-05-09T06:35:28.621261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:4d6060c91e4fc199c593b28f4dc2497d6446d3059dc6b9a18d04c91dceb32975

Observation a8d8f529-d730-47bb-b74f-28e120acbda6 · outbound

This paper cites Effective Long-Context Scaling of Foundation Models.

Qwen3 Technical Report Effective Long-Context Scaling of Foundation Models

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T06:35:28.628333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:403aebe2f435fffa3b5ec1e473d25bee61fb4733a9356ae028243403a02c2ec4

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

This paper cites Qwen2 Technical Report.

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:0772889d9a393bb26cb3e8e2a77102050035b7633ce7cb4ada34e08508539bcd

Observation 3a12e641-6d06-489f-989c-c1cf2aeb82ff · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Qwen3 Technical Report Instruction-Following Evaluation for Large Language Models

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-09T06:35:28.636806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:4c443daf5b0203870d6823daea92cf015bd4e33f923d499b5363860132f48202

Observation 61d70467-2d93-4894-ab2b-12127d00e68c · outbound

This paper cites AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models.

Qwen3 Technical Report AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models

Reference 41

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verified exact
arxiv_id, observed 2026-05-09T06:35:28.391593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:2877846dc37fb5463e5c9de3d043c19ceee37da6c4897fcbdf6aa5fc4cfb9eda

Pith citing papers

Observation 8319f46b-0bbf-466a-9493-743fffbad962 · inbound

All Entities are Not Created Equal: Examining the Long Tail for Ultra-Fine Entity Typing cites this paper.

All Entities are Not Created Equal: Examining the Long Tail for Ultra-Fine Entity Typing Qwen3 Technical Report

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T18:58:20.052263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T18:56:47.259611Z digest=sha256:0c1eb13247e6a9969de690c94f67fc83b391fd7e404a88c6e09d0459545866a5

Observation e9c6e7e1-1fb8-44de-927e-3e710060b353 · inbound

Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts cites this paper.

Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts Qwen3 Technical Report

Reference 19

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metadata mismatch
local_arxiv, observed 2026-05-23T00:42:18.957608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T00:41:06.928901Z digest=sha256:1a366bcbe1a9853f2d3aa84e2da36c64c27cc953b7756473aa40bc71ae400ff4

Observation f2854fe9-85b8-4649-bfe8-acefb36cb00d · 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 Qwen3 Technical Report

Reference 25

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verified exact
local_arxiv, observed 2026-05-23T00:22:18.757044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:a408e7c328ac69451045f89c455172012dea1ba5d32b30e2292d770b1cd521d4

Observation 55feb9c4-2065-4363-a247-4dbf5a66dc72 · inbound

Toxicity Detection Should Measure Contextual Harm, Not Text-Intrinsic Badness cites this paper.

Toxicity Detection Should Measure Contextual Harm, Not Text-Intrinsic Badness Qwen3 Technical Report

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-22T23:32:15.539809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T23:29:50.412674Z digest=sha256:b502d6851d0ec8213df0cc4e9f5537aaca85d7e615385c9852109fc5d153ce7f

Observation e0e706be-368f-4662-880f-3e0621feec6d · inbound

Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation cites this paper.

Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation Qwen3 Technical Report

Reference 148

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metadata mismatch
local_arxiv, observed 2026-05-22T21:42:11.333098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T21:38:29.497183Z digest=sha256:5d60a0ad9af4f9d670cf48acdc16c7854005a8adfbb5f642636fb3b841e61961

Observation 2f26588c-a1cd-44ef-8479-20a9b9b7e2ba · inbound

MIST: A Co-Design Framework for Heterogeneous, Multi-Stage LLM Inference cites this paper.

MIST: A Co-Design Framework for Heterogeneous, Multi-Stage LLM Inference Qwen3 Technical Report

Reference 54

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verified exact
local_arxiv, observed 2026-05-22T21:17:07.975697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T21:16:31.655330Z digest=sha256:efe1bfdc1fff16f76e0f72ad30db3b5b5a80c52103eb083008e5819ea902ccd3

Observation c33cc80c-6454-42b1-9d56-de143a8c6692 · inbound

Reinforcement Learning from Human Feedback cites this paper.

Reinforcement Learning from Human Feedback Qwen3 Technical Report

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-05-22T19:32:01.422505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T19:27:40.991325Z digest=sha256:d11cc8be66fc6c7fa989307b5fe41519fd4d7a3dc82c05a2c193001705e6d24c

Observation 4487c6a5-4841-4339-9e47-39ba1ebc1205 · inbound

Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval cites this paper.

Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval Qwen3 Technical Report

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T19:35:03.940894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T19:35:02.029358Z digest=sha256:da9220fd319c96221fc7f7fa587083bf4c990a8471963199d062d6ae6dedf69f

Observation 8ed6b9e0-4c4b-41e3-bb69-42a68fd963dd · inbound

CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code Generation cites this paper.

CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code Generation Qwen3 Technical Report

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-22T17:45:00.484888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T17:42:12.022129Z digest=sha256:879ae814aa1377a344db57c648a6dbc5bdb003f2b464038ced8e6ab500bfb15c

Observation 67701bec-0050-4e8a-8da0-1944ca6cce82 · inbound

Group-in-Group Policy Optimization for LLM Agent Training cites this paper.

Group-in-Group Policy Optimization for LLM Agent Training Qwen3 Technical Report

Reference 74

Resolution
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local_arxiv, observed 2026-05-11T09:15:08.708355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T09:15:08.193357Z digest=sha256:4612b3c50b6da6cf92d0416e65c18ce04c4c1e3bf605dd69c0198e72c994736e

Observation cba1ece6-0bab-4e92-8dda-64b69ff7450f · inbound

Cheaper, Better, Faster, Stronger: Robust Text-to-SQL without Chain-of-Thought or Fine-Tuning cites this paper.

Cheaper, Better, Faster, Stronger: Robust Text-to-SQL without Chain-of-Thought or Fine-Tuning Qwen3 Technical Report

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T13:51:37.468231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T13:49:21.132896Z digest=sha256:8b6a808696b941f32ea723347ab08b6cc9200794c850c665c50f06b93efe5143

Observation 96642d0c-7687-45bd-8e64-c79ac18355c5 · inbound

Language Specific Knowledge: Do Models Know Better in X than in English? cites this paper.

Language Specific Knowledge: Do Models Know Better in X than in English? Qwen3 Technical Report

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-22T14:51:42.722073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T14:48:29.590965Z digest=sha256:297da6fcb98be93cc53ab73f3f2d12ded2ca601273f57d9bdb96ac20ac389795

Observation 377164f0-b7b0-4839-96c2-78414a780096 · inbound

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning cites this paper.

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning Qwen3 Technical Report

Reference 94

Resolution
verified exact
local_arxiv, observed 2026-05-18T15:58:33.570832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T15:58:33.219451Z digest=sha256:dba3819baccd62b59db0a860f56f1a8aa468516ae4421000fa1cea038b456def

Observation ba1e132d-d06f-4b17-8456-1664773c3d4c · inbound

Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs cites this paper.

Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs Qwen3 Technical Report

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-05-17T05:35:13.224191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T05:35:13.118221Z digest=sha256:38cdc17fab124b7b14332d672b7b01faf6d48afe2517d41c3e3fe5c7f1b3fcb6

Observation 252ebfe6-4a05-4541-b586-00d36e9b8604 · inbound

CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark cites this paper.

CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark Qwen3 Technical Report

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T01:30:53.403363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T01:29:16.468047Z digest=sha256:92155cf7372c625890b3e1d9d21230034b27bdeae942332621edb95edf3fe585

Observation 27cb0c20-3d4e-4228-88cf-454d192706f2 · inbound

FinTagging: Benchmarking LLMs for Extracting and Structuring Financial Information cites this paper.

FinTagging: Benchmarking LLMs for Extracting and Structuring Financial Information Qwen3 Technical Report

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-22T02:25:56.157915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T02:25:01.761434Z digest=sha256:8e9a3c5977a59c1c060f36da0380a2473af3088c0f8b9a82cc4c7f68041e07a6

Observation b062386c-c594-4c2d-8f49-f356164b8325 · inbound

MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding cites this paper.

MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding Qwen3 Technical Report

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-19T13:17:18.521743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T13:13:40.485342Z digest=sha256:ae4fc3ef77d5f66fc38f14560b34f2eeb152c4d4eaa7faf19e1a669230ed177b

Observation f69da418-21f9-4790-ab7f-8c464143780f · inbound

Seeing Isn't Orienting: A Cognitively Informed Hierarchical Benchmark for Object Orientation in MLLMs cites this paper.

Seeing Isn't Orienting: A Cognitively Informed Hierarchical Benchmark for Object Orientation in MLLMs Qwen3 Technical Report

Reference 116

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T12:42:18.923820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T12:38:15.869606Z digest=sha256:f5b77c9d49f4889351102e04e80024a56516c5ace2b012baeb54ba801e6bc052

Observation ef3502e7-75fa-467e-b6cb-92ff345bf695 · inbound

Skywork Open Reasoner 1 Technical Report cites this paper.

Skywork Open Reasoner 1 Technical Report Qwen3 Technical Report

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-17T04:26:47.359975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T04:26:47.283983Z digest=sha256:ac582715749263c6938a7d441089ac0ebe3d7e704481afb5f96f443dce3f8bf2

Observation 1eb819a6-767c-4d58-8f14-3122019b2561 · inbound

Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning cites this paper.

Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning Qwen3 Technical Report

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-12T12:12:08.983891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T12:12:08.724844Z digest=sha256:be94fd953244a98817e89080bc180df8b9e13859e698b8866bd4123680b0e72a

Observation c10f6d60-0e90-4c96-8b3e-38fab55ec22e · inbound

Masked Language Models are Good Heterogeneous Graph Generalizers cites this paper.

Masked Language Models are Good Heterogeneous Graph Generalizers Qwen3 Technical Report

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T06:04:16.776361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:04:16.776361Z digest=sha256:09c1a7d265a20308927bda93850dccf9b9fad1b5a88212b03863fa4108742e87

Observation 66b4e1d8-cb54-4e43-bcdc-9bba618053fe · inbound

How Far Are We from Optimal Reasoning Efficiency? cites this paper.

How Far Are We from Optimal Reasoning Efficiency? Qwen3 Technical Report

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T05:49:39.672165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:49:39.672165Z digest=sha256:d49794a8a6bf91e9451656dbf4e2ac3e1604f9846bd9ba140caa14bb2cdde258

Observation 8e8f40a4-ebdd-4935-9159-ea9048b9f5ec · inbound

Coordinating Search-Informed Reasoning and Reasoning-Guided Search in Claim Verification cites this paper.

Coordinating Search-Informed Reasoning and Reasoning-Guided Search in Claim Verification Qwen3 Technical Report

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T05:37:29.337822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:37:29.337822Z digest=sha256:e50f604206b7a409c0f3795ccb69f8dfe64663fde7b426631c24ff1be4859cc0

Observation 368c729f-f95b-4e34-9f02-0663165b7530 · inbound

Event-Priori-Based Vision-Language Model for Efficient Visual Understanding cites this paper.

Event-Priori-Based Vision-Language Model for Efficient Visual Understanding Qwen3 Technical Report

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T05:35:01.445789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:35:01.445789Z digest=sha256:0829f6fc439228112c838ecb8959e0da9de1b4f76a8feb81e8406f08da612a70

Observation be46e805-0613-44d6-a6cc-3e26a1c5d35f · inbound

MiniCPM4: Ultra-Efficient LLMs on End Devices cites this paper.

MiniCPM4: Ultra-Efficient LLMs on End Devices Qwen3 Technical Report

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T05:31:22.117240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:31:22.117240Z digest=sha256:381d7a686337271b8d5dfaf4f5c9da16ae436731cb6b23e5c91f1cb50ec52d21

Observation 34ea3fec-8ac3-4f1c-ba0d-1603571c3b24 · inbound

DeepForm: Reasoning Large Language Model for Communication System Formulation cites this paper.

DeepForm: Reasoning Large Language Model for Communication System Formulation Qwen3 Technical Report

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T05:12:47.151358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:47.151358Z digest=sha256:faf3e794b0f489b98c705b541d542ba6437b4ada121947155a05e3edb7dea65a

Observation 266bf271-2c2b-4fba-bfde-e056435b9d74 · inbound

Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings cites this paper.

Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings Qwen3 Technical Report

Reference 31

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unresolved
no resolver link, observed 2026-08-07T05:13:26.501120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:13:26.501120Z digest=sha256:2362a074e4d832054296f792a537be85318dffc9fa61ed70d7c429c880e65549

Observation cc56687e-9f39-4fef-96c2-607564c937b2 · inbound

Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis cites this paper.

Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis Qwen3 Technical Report

Reference 35

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T10:37:15.126491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T10:34:28.875334Z digest=sha256:6014bbec8282d1af9768fea73d43c4b5c9f6ad0886864621fd19980a67b1cb2b

Observation c2b5e48b-48d0-4ef7-8fc6-80bd77976df3 · inbound

SeerAttention-R: Sparse Attention Adaptation for Long Reasoning cites this paper.

SeerAttention-R: Sparse Attention Adaptation for Long Reasoning Qwen3 Technical Report

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:32.721183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:32.721183Z digest=sha256:01b4aaf4313af1b1d78266b7a7446e7ee0727c41453047b2c56cd62b42b2070b

Observation 4e68a874-88a0-400c-b57e-a1c1e84912ae · inbound

AdaDec: A Uncertainty-Guided Lookahead Decoding Framework for LLM-Based Code Generation cites this paper.

AdaDec: A Uncertainty-Guided Lookahead Decoding Framework for LLM-Based Code Generation Qwen3 Technical Report

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-19T10:22:14.529597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T10:19:07.701197Z digest=sha256:37360e20e4cf97c2bdcb91fa89e94004b4a6b01a0aed7812162d7ec719718793

Observation 968c06be-1c7f-4e33-a8d9-a2e465a1f2d2 · inbound

e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs cites this paper.

e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs Qwen3 Technical Report

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T05:03:29.500826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:29.500826Z digest=sha256:984b37054255f45c3a80b9c40405d6a5d74905953aa3424ba44f0c0ef7cfc10c

Observation 0ad642a5-2ceb-4b76-bc35-7fc147ecee6a · inbound

RePO: Replay-Enhanced Policy Optimization cites this paper.

RePO: Replay-Enhanced Policy Optimization Qwen3 Technical Report

Reference 20

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source=pdf_text observed=2026-08-07T04:53:58.158488Z digest=sha256:e54c842d9cd369bbe9cb33d666842948ccfa89f4dba587c8c3e4a95bfa3f88e3

Observation 650b81db-b1f5-471c-84e7-3db71dffe943 · inbound

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform cites this paper.

Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Qwen3 Technical Report

Reference 52

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source=pdf_text observed=2026-08-07T04:55:48.924031Z digest=sha256:6d0460a8b7099015bc1a73da8aa126b072fed9edf008aacc70462766017dc506

Observation 5f6b1128-03a9-4a3a-885e-aefa408de241 · inbound

Effective Red-Teaming of Policy-Adherent Agents cites this paper.

Effective Red-Teaming of Policy-Adherent Agents Qwen3 Technical Report

Reference 32

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no resolver link, observed 2026-08-07T04:50:00.232482Z

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source=arxiv_source observed=2026-08-07T04:50:00.232482Z digest=sha256:397b476f0c2c2595b4b471e9bfa8119049ffd7bbe9017b2b197eaacc23e9de7e

Observation c7b19ffe-ac7f-4563-9322-33b9c37baa25 · inbound

Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy cites this paper.

Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy Qwen3 Technical Report

Reference 44

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no resolver link, observed 2026-08-07T04:42:02.695513Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:42:02.695513Z digest=sha256:6ef6e35d8440612271af804e3921b1648d30cf346d339ab16348cd410a8b8701

Observation da5fe36c-e54b-47ef-acda-2fe6a105a37e · inbound

PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework cites this paper.

PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework Qwen3 Technical Report

Reference 44

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no resolver link, observed 2026-08-07T04:23:45.849816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:23:45.849816Z digest=sha256:a2c58d593b01011486af3db336c4a038f1690993c2fed3580e7a87354e972132

Observation f4f17aee-5f09-4d4e-b024-16607da6ca2a · inbound

Predictable Scale: Part II, Farseer: A Refined Scaling Law in Large Language Models cites this paper.

Predictable Scale: Part II, Farseer: A Refined Scaling Law in Large Language Models Qwen3 Technical Report

Reference 45

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no resolver link, observed 2026-08-07T04:21:29.438704Z

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source=pdf_text observed=2026-08-07T04:21:29.438704Z digest=sha256:106a6d8c81947623b78d342268c8bc5663b4157a71f60d74b4576e27430a5d06

Observation 82778f0a-c4d0-4191-882f-3d21a15b90c5 · inbound

Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure cites this paper.

Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure Qwen3 Technical Report

Reference 27

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no resolver link, observed 2026-08-07T00:59:56.812729Z

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source=arxiv_source observed=2026-08-07T00:59:56.812729Z digest=sha256:8ee764578e44d43c339d87e6c5e85a169c95b2eb24a1c7c0e4038848ec7787af

Observation 8369fb3f-6d60-45bf-89cd-5d65b3e686c5 · inbound

Not All Tokens and Heads Are Equally Important: Dual-Level Attention Intervention for Hallucination Mitigation cites this paper.

Not All Tokens and Heads Are Equally Important: Dual-Level Attention Intervention for Hallucination Mitigation Qwen3 Technical Report

Reference 48

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no resolver link, observed 2026-08-07T00:53:26.396889Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T00:53:26.396889Z digest=sha256:274e48158e9e581317e4ebc0c96dcb7549f9ec9e2709cecdeced0c1f97d299d8

Observation a4ba309d-8e0e-4879-8a6d-ebce417a8059 · inbound

SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation cites this paper.

SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Qwen3 Technical Report

Reference 9

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no resolver link, observed 2026-08-07T00:48:43.975368Z

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source=pdf_text observed=2026-08-07T00:48:43.975368Z digest=sha256:22774d0f7b1f766e2986328d3f57e0b521cd9ce30e89b159b61faa26b351f447

Observation b861749a-b082-4512-a259-5db9671c3d76 · inbound

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs cites this paper.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Qwen3 Technical Report

Reference 44

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no resolver link, observed 2026-08-07T00:39:55.481867Z

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source=pdf_text observed=2026-08-07T00:39:55.481867Z digest=sha256:cd14cc3ccd4507ec150b227e3c5e16086a47f7cbef5855d1fc35c245eff64cdd

Observation 49a27808-1168-4832-85ae-db7ec72b3a0c · inbound

SeqPE: Transformer with Sequential Position Encoding cites this paper.

SeqPE: Transformer with Sequential Position Encoding Qwen3 Technical Report

Reference 49

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no resolver link, observed 2026-08-07T00:45:06.470613Z

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source=pdf_text observed=2026-08-07T00:45:06.470613Z digest=sha256:22de93a5eff45da29a1d576261d09a0cbbf20a9deab6cd59bd29132003ca41a2

Observation 653ecf0f-07fd-44be-b8f6-01027a8fe71f · inbound

AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy cites this paper.

AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy Qwen3 Technical Report

Reference 41

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no resolver link, observed 2026-08-07T00:41:36.361667Z

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source=pdf_text observed=2026-08-07T00:41:36.361667Z digest=sha256:f715436ae5af3f4895934459bc2d3746b716fd0e631f797f7c0eabef3292cc38

Observation 74828f52-df54-443a-8638-be1165b46fcd · inbound

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems cites this paper.

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems Qwen3 Technical Report

Reference 86

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no resolver link, observed 2026-08-07T00:32:36.710457Z

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source=pdf_text observed=2026-08-07T00:32:36.710457Z digest=sha256:b02763a8fb27910686dcfcd6d1fefe4145c2916ee39b4cff5f15f2f2d25b4677

Observation 163ec618-6992-4fcf-ae7d-625c5dd4cf0a · inbound

Value-Free Policy Optimization via Reward Partitioning cites this paper.

Value-Free Policy Optimization via Reward Partitioning Qwen3 Technical Report

Reference 21

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no resolver link, observed 2026-08-07T00:31:49.300277Z

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source=pdf_text observed=2026-08-07T00:31:49.300277Z digest=sha256:c758ca0184bd1a5cd0689d69b9f8fafdfdd7d481543cd003d594b507dcbfcd81

Observation 2fb1689a-22dd-403f-a10b-205b6e54c16a · inbound

Lost in the Mix: Evaluating LLM Understanding of Code-Switched Text cites this paper.

Lost in the Mix: Evaluating LLM Understanding of Code-Switched Text Qwen3 Technical Report

Reference 49

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no resolver link, observed 2026-08-07T00:28:09.993156Z

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source=arxiv_source observed=2026-08-07T00:28:09.993156Z digest=sha256:2567aac0a9eba4c1e0539bdacfc4be21135e7897f65109458b0c2d061a831d84

Observation 2f58b06b-4f34-48a7-89a6-3dcc25383bf6 · inbound

Essential-Web v1.0: 24T tokens of organized web data cites this paper.

Essential-Web v1.0: 24T tokens of organized web data Qwen3 Technical Report

Reference 64

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no resolver link, observed 2026-08-07T00:24:47.991917Z

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source=arxiv_source observed=2026-08-07T00:24:47.991917Z digest=sha256:e49e53703f00aeaa2d8ac882215c98a0d85b8ba084aeb80cfe4be555ff34663c

Observation 38d883f4-49ef-47d8-9173-84b1fcecba0e · inbound

Lessons from Training Grounded LLMs with Verifiable Rewards cites this paper.

Lessons from Training Grounded LLMs with Verifiable Rewards Qwen3 Technical Report

Reference 12

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no resolver link, observed 2026-08-06T23:59:49.122177Z

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source=pdf_text observed=2026-08-06T23:59:49.122177Z digest=sha256:c652a7bacf0ee19c9c46cd8764f3505d81a4008f7462e65aa86fa83254809fee

Observation d74f97cd-a04d-4ee2-9952-00d8e06e9934 · inbound

Gender Inclusivity Fairness Index (GIFI): A Multilevel Framework for Evaluating Gender Diversity in Large Language Models cites this paper.

Gender Inclusivity Fairness Index (GIFI): A Multilevel Framework for Evaluating Gender Diversity in Large Language Models Qwen3 Technical Report

Reference 54

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no resolver link, observed 2026-08-07T00:00:01.666418Z

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source=arxiv_source observed=2026-08-07T00:00:01.666418Z digest=sha256:c4d05fa3bbb2a83c2167657f0c108da81706375f5d415437da332dfdf0bc127b

Observation 49f6e146-811b-4ee3-bf4c-6b1e275cff48 · inbound

Probing the Robustness of Large Language Models Safety to Latent Perturbations cites this paper.

Probing the Robustness of Large Language Models Safety to Latent Perturbations Qwen3 Technical Report

Reference 44

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no resolver link, observed 2026-08-06T23:49:18.222192Z

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source=arxiv_source observed=2026-08-06T23:49:18.222192Z digest=sha256:ef4399a9a7e1143ce96b0c88edfced15d4948b47759ed3b2fbc04063aa3e62e7

Observation f3837aa7-8513-464a-bf76-ca83285f287d · inbound

CLEAR-3K: Assessing Causal Explanatory Capabilities in Language Models cites this paper.

CLEAR-3K: Assessing Causal Explanatory Capabilities in Language Models Qwen3 Technical Report

Reference 18

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no resolver link, observed 2026-08-06T23:34:30.125545Z

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source=pdf_text observed=2026-08-06T23:34:30.125545Z digest=sha256:df92f670a0025589af0c8263405af6208bf69bc895bb85535fa789712a311184

Observation cb89ba1d-4170-464e-bf8f-329194e24067 · inbound

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning cites this paper.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Qwen3 Technical Report

Reference 34

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no resolver link, observed 2026-08-06T23:35:26.199324Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:26.199324Z digest=sha256:7439ee464008561b0d152b389078df1bfcfff8d932f7aa5c36c5acf69ddf9f3b

Observation beb850d1-0470-4e3f-96aa-afeacb2e9ff3 · inbound

Toward Principled LLM Safety Testing: Solving the Jailbreak Oracle Problem cites this paper.

Toward Principled LLM Safety Testing: Solving the Jailbreak Oracle Problem Qwen3 Technical Report

Reference 46

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verified exact
local_arxiv, observed 2026-05-19T08:42:12.838052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T08:40:56.186349Z digest=sha256:8f5f33796703f0b0563796986b11171ae2fd4324bba11854b4d912934bae9ffc

Observation ceb4a625-f154-4dfd-a0d3-1f6ddc62b22b · inbound

CLGRPO: Reasoning Ability Enhancement for Small VLMs cites this paper.

CLGRPO: Reasoning Ability Enhancement for Small VLMs Qwen3 Technical Report

Reference 22

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no resolver link, observed 2026-08-06T23:27:46.069055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:46.069055Z digest=sha256:80631fe348a0cd1e24603b1206a2985d3ddcf46b5491e66258c79bdda207d0a4

Observation 53b24ddc-bd51-4ada-9574-1edc4887ce2a · inbound

Effective LLM Code Refinement via Property-Oriented and Structurally Minimal Feedback cites this paper.

Effective LLM Code Refinement via Property-Oriented and Structurally Minimal Feedback Qwen3 Technical Report

Reference 39

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verified exact
local_arxiv, observed 2026-05-19T08:37:11.624329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T08:36:58.880345Z digest=sha256:57e43acc7a6f5b7069f9024eb879b3cf41aee3d6e9f7318d8e96ece1bb6c7ccd

Observation 4729f6db-5570-46a3-9433-e30974707cf6 · inbound

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning cites this paper.

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning Qwen3 Technical Report

Reference 42

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verified exact
local_arxiv, observed 2026-05-19T07:52:09.355379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T07:51:35.381534Z digest=sha256:37dd37e1732ffb7dbee0f11f8037e99e97f533541a52a3de34851881f33fee6e

Observation 5ffb7d59-10e4-4cd0-b753-00e13f91bdce · inbound

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection cites this paper.

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection Qwen3 Technical Report

Reference 11

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metadata mismatch
local_arxiv, observed 2026-05-19T08:22:10.985357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T08:20:56.561166Z digest=sha256:81ff11251c54fb82db8ab88632daa9a0e883978040695139117f025fa0e3689a

Observation 19bfdfb3-8b55-490b-b45b-36f74fb4d948 · inbound

Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs cites this paper.

Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs Qwen3 Technical Report

Reference 36

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no resolver link, observed 2026-08-06T23:03:54.462534Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:03:54.462534Z digest=sha256:dab8b7363b354e027dd050482645fa0030430599643f02c2697248631622d6d6

Observation d7233b05-a6c4-4cf5-bb83-0f6b7eb42783 · inbound

Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation cites this paper.

Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation Qwen3 Technical Report

Reference 60

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no resolver link, observed 2026-08-06T23:05:11.249507Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T23:05:11.249507Z digest=sha256:6e43e7e17433cd46a9368d9f9f9d04b1b118d245e5e3469adc31b21c290b24bd

Observation 988b1b55-d734-4e77-b00a-5a9d17fdda05 · inbound

OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling cites this paper.

OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling Qwen3 Technical Report

Reference 48

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no resolver link, observed 2026-08-06T22:52:05.497044Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T22:52:05.497044Z digest=sha256:cdeda2cbf580673fa90e4fc32bdbc6fc1edc77f23de5b34dc723ea5e96a799a6

Observation 9afff957-00a7-4013-bd9c-ce9f3f3aeccd · inbound

When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMs cites this paper.

When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMs Qwen3 Technical Report

Reference 40

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no resolver link, observed 2026-08-06T22:51:33.951567Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T22:51:33.951567Z digest=sha256:b12347dd6a3989328d15f5a73b414952e0d1920e76b9f804540abb0874165ff3

Observation 3fbf4470-5515-4721-bf7e-699073c3567d · inbound

Towards Understanding the Cognitive Habits of Large Reasoning Models cites this paper.

Towards Understanding the Cognitive Habits of Large Reasoning Models Qwen3 Technical Report

Reference 53

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no resolver link, observed 2026-08-07T04:07:58.766639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:58.766639Z digest=sha256:2096e51ef135cdc9958094a7ea8c68a369289f99f8dfcc3ac01faee11155050d

Observation 93dc053d-2629-4dab-9b7b-f72de4ed9cdd · inbound

Overview of the ClinIQLink 2025 Shared Task on Medical Question-Answering cites this paper.

Overview of the ClinIQLink 2025 Shared Task on Medical Question-Answering Qwen3 Technical Report

Reference 21

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no resolver link, observed 2026-08-06T23:55:39.060893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:55:39.060893Z digest=sha256:8b2c57e2877db2ec82f8ce4024c1eb0d1b2ceda961dd05feaabaff49a27c5f59

Observation 87488ee5-d784-4d51-ba47-6cc934239f83 · inbound

IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech cites this paper.

IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech Qwen3 Technical Report

Reference 54

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no resolver link, observed 2026-08-06T23:21:59.316444Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:21:59.316444Z digest=sha256:a6d2d5169591d7c5230296f777a11d7af67f5e9dca2519dc7a5f35c0da8a993d

Observation c508f1ce-df3f-4ecd-aee1-da5cefc9aadc · inbound

Jan-nano Technical Report cites this paper.

Jan-nano Technical Report Qwen3 Technical Report

Reference 7

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no resolver link, observed 2026-08-06T22:04:34.016719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:34.016719Z digest=sha256:52b9a3f1d3a3f393a7b4905163ab7d20601811180ea048824a096d4a8323951b

Observation 3a569497-5cc8-4f5e-89d9-40f93c10517d · inbound

Infinite Sampling: Efficient and Stable Grouped RL Training for Large Language Models cites this paper.

Infinite Sampling: Efficient and Stable Grouped RL Training for Large Language Models Qwen3 Technical Report

Reference 37

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no resolver link, observed 2026-08-06T22:01:23.788123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:01:23.788123Z digest=sha256:7038abc43861ed4ada241dba286b6ebae88d3738aed4d63acd81d92e8907d373

Observation f6b919d7-06ec-46af-943d-2ae1d285fe96 · inbound

Ovis-U1 Technical Report cites this paper.

Ovis-U1 Technical Report Qwen3 Technical Report

Reference 23

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unresolved
no resolver link, observed 2026-08-06T22:01:21.141916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:01:21.141916Z digest=sha256:087351aa337c95e1ae1b60cb9360fff21e0794ea16804d7f25a10637093ac7ec

Observation 7640f52d-8697-41b2-b649-200ececb7083 · inbound

AURA: Agent for Understanding, Reasoning, and Automated Tool Use in Voice-Driven Tasks cites this paper.

AURA: Agent for Understanding, Reasoning, and Automated Tool Use in Voice-Driven Tasks Qwen3 Technical Report

Reference 34

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no resolver link, observed 2026-08-06T21:55:55.221863Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T21:55:55.221863Z digest=sha256:6cf462bbdd627a29a95dd1c8a1d27df5ab1e618b0b33b1c0374cb762bf7f3bb0

Observation cc705581-a7e0-4e56-a191-f311a1c0cae4 · inbound

Teaching a Language Model to Speak the Language of Tools cites this paper.

Teaching a Language Model to Speak the Language of Tools Qwen3 Technical Report

Reference 21

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unresolved
no resolver link, observed 2026-08-06T21:48:46.622392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:48:46.622392Z digest=sha256:5bb76cf14daf4c522545e0ae431bd444d45cee06d0184dc75489a9f288783b51

Observation 4edb9499-e6d8-4dca-9815-fc1f30645a13 · inbound

NEU-ESC: A Comprehensive Vietnamese dataset for Educational Sentiment analysis and topic Classification toward multitask learning cites this paper.

NEU-ESC: A Comprehensive Vietnamese dataset for Educational Sentiment analysis and topic Classification toward multitask learning Qwen3 Technical Report

Reference 57

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unresolved
no resolver link, observed 2026-08-06T21:42:38.347965Z

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source=pdf_text observed=2026-08-06T21:42:38.347965Z digest=sha256:f42553577d700bd0f5a0861ccc5f19704be3fe05eec3a36f4991c2be78404a2a

Observation 8a587171-c7c8-4a4d-b714-114a72425a2e · inbound

L0: Reinforcement Learning to Become General Agents cites this paper.

L0: Reinforcement Learning to Become General Agents Qwen3 Technical Report

Reference 16

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source=arxiv_source observed=2026-08-06T21:45:00.782069Z digest=sha256:af45ab882df8f40011c0a84eb414bf19c7cd9b5b0e9088d4ab6c0a1ac7b3626c

Observation 7f3d562b-0297-4561-bb04-ccc41b59b4ba · inbound

Do Thinking Tokens Help or Trap? Towards More Efficient Large Reasoning Model cites this paper.

Do Thinking Tokens Help or Trap? Towards More Efficient Large Reasoning Model Qwen3 Technical Report

Reference 43

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source=arxiv_source observed=2026-08-06T21:45:11.037966Z digest=sha256:61f83966255c3a0ce3b6451b4fd52e2c5c091e17d0b65660e35b9022e3827495

Observation b05189be-12e7-4965-b5e1-56f7eee40c08 · inbound

IMPACT: Inflectional Morphology Probes Across Complex Typologies cites this paper.

IMPACT: Inflectional Morphology Probes Across Complex Typologies Qwen3 Technical Report

Reference 33

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source=arxiv_source observed=2026-08-06T21:45:14.744363Z digest=sha256:3c05e650a8332398a10ca7328411f18172aadf904ae655877810b4c8d9aeb9fd

Observation da33aa43-0f49-41f2-9bc9-c230632f58c1 · inbound

Logit-Gap Steering: A Forward-Pass Diagnostic for Alignment Robustness cites this paper.

Logit-Gap Steering: A Forward-Pass Diagnostic for Alignment Robustness Qwen3 Technical Report

Reference 21

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local_arxiv, observed 2026-05-19T07:22:09.252350Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T07:20:48.405037Z digest=sha256:639df6ed8e48c2622799cee8efc2157da7f4e44272d7e9e125dd6d87c212b30a

Observation dd6effe2-2bfd-4abc-9883-c49562682499 · inbound

DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World cites this paper.

DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World Qwen3 Technical Report

Reference 84

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source=pdf_text observed=2026-08-06T21:27:40.717044Z digest=sha256:63c45bee4ed3c87cb1f2492ab822cf90b883ffa206c11c95a16b0bad8903fc50

Observation 1db8e1aa-87d1-4c89-8a4a-ccdb660e5e10 · inbound

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information cites this paper.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Qwen3 Technical Report

Reference 33

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source=pdf_text observed=2026-08-06T23:51:47.680094Z digest=sha256:5cbfb89d363d7ff5008a2baad791e3304e1194a21c9ea5f9ff7a85a6086e93ac

Observation 76c01111-bb98-40ce-9cfc-9a2fda294750 · inbound

Holistic Artificial Intelligence in Medicine; improved performance and explainability cites this paper.

Holistic Artificial Intelligence in Medicine; improved performance and explainability Qwen3 Technical Report

Reference 45

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source=pdf_text observed=2026-08-06T21:26:17.790321Z digest=sha256:b9b9b688122a075613d50eb7211434a8e95555e6a4b93c87f03e6dbcabab5c76

Observation 7a297632-837c-4105-8ad7-12f0e53f9b6d · inbound

A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback cites this paper.

A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback Qwen3 Technical Report

Reference 29

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source=pdf_text observed=2026-08-06T21:16:42.094905Z digest=sha256:0a13a0a3d12e0d45ebe37bf057d6bea12d176012115071945b4021eca92ede10

Observation 5f0825a8-1e40-4ff5-b07c-14effe1affdb · inbound

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning cites this paper.

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning Qwen3 Technical Report

Reference 43

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local_arxiv, observed 2026-05-19T06:52:08.019129Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T06:50:02.607136Z digest=sha256:6355931e12c986c49ec1754f8d05ff977b41fd2a2c7b773321213913d180ecfa

Observation b56e3bc4-11b1-42b5-8eb5-4bd4524283b5 · inbound

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks cites this paper.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Qwen3 Technical Report

Reference 54

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source=pdf_text observed=2026-08-06T21:03:00.833594Z digest=sha256:c1a3f0838583cab2c9927f5905c9f7a1ef2fc6448731c3d1903ecff17b095364

Observation 6304d6bb-c648-44db-b0d1-5c55d6bfac88 · inbound

NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks cites this paper.

NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks Qwen3 Technical Report

Reference 25

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source=arxiv_source observed=2026-08-06T20:43:26.040687Z digest=sha256:16c38d6d923d74267142b846e3ce4e72166e5aeb1659af1cec65e8a7af185148

Observation 2b6ac7c0-0881-4f2b-babd-4425db39a016 · inbound

RoboBrain 2.0 Technical Report cites this paper.

RoboBrain 2.0 Technical Report Qwen3 Technical Report

Reference 73

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source=pdf_text observed=2026-08-06T20:47:31.085978Z digest=sha256:5a034859644f221d40084fdbbdbec248cdad0b2f42598a0a26a2173bc9f0cb7f

Observation 547cf5c7-bf35-4355-8556-f49440e47f9c · inbound

Reasoning or Not? A Comprehensive Evaluation of Reasoning LLMs for Dialogue Summarization cites this paper.

Reasoning or Not? A Comprehensive Evaluation of Reasoning LLMs for Dialogue Summarization Qwen3 Technical Report

Reference 31

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source=pdf_text observed=2026-08-06T20:41:59.183587Z digest=sha256:c0a3a1c215bd17f9d7c62da5da8b29d75d1efb0e38795293830eaada0a7d616a

Observation ae1989c8-73a6-49a0-8fc4-2d16699ff84d · inbound

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models cites this paper.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Qwen3 Technical Report

Reference 4

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source=arxiv_source observed=2026-08-06T20:28:56.227672Z digest=sha256:a0a8f6530b3be77859e622d0dfca0274100f57da6327829168a69ae44fb4bf6f

Observation 1c82f5d7-b299-4edf-af63-f88a7c239018 · inbound

SynapseRoute: An Auto-Route Switching Framework on Dual-State Large Language Model cites this paper.

SynapseRoute: An Auto-Route Switching Framework on Dual-State Large Language Model Qwen3 Technical Report

Reference 28

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source=arxiv_source observed=2026-08-06T20:25:48.922958Z digest=sha256:9494119a8e97e1b65cedd079fcd53a071ef87f4f010610a41fd13903d7bce77a

Observation c8bec787-bc54-4f16-9c1d-bf49ba963a18 · inbound

Generalizing Verifiable Instruction Following cites this paper.

Generalizing Verifiable Instruction Following Qwen3 Technical Report

Reference 31

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verified exact
local_arxiv, observed 2026-05-19T05:42:05.965371Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T05:39:56.467519Z digest=sha256:267a77bcee689a8798ec2976cc34e61e430bfb04186f6fce0d5af227977ac278

Observation 6148a196-9f29-49bd-bfc4-754b8f01f636 · inbound

Intrinsic Fingerprint of LLMs: Continue Training is NOT All You Need to Steal A Model! cites this paper.

Intrinsic Fingerprint of LLMs: Continue Training is NOT All You Need to Steal A Model! Qwen3 Technical Report

Reference 15

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local_arxiv, observed 2026-05-19T06:42:07.449374Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T06:39:47.345016Z digest=sha256:a5a4b0e879cf3d76de187730ae71ffc986811bfe63ca31c6e1fa53b56dc45d31

Observation eaaa8038-770b-4763-bf7e-28247a1cf1c1 · inbound

OpenTable-R1: A Reinforcement Learning Augmented Tool Agent for Open-Domain Table Question Answering cites this paper.

OpenTable-R1: A Reinforcement Learning Augmented Tool Agent for Open-Domain Table Question Answering Qwen3 Technical Report

Reference 3

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source=pdf_text observed=2026-08-06T20:48:14.565267Z digest=sha256:86dab80d1c0cd3821fb09677b6933d5a6d2c4ce83483bd3970d5fa99660fcdb3

Observation d7e7ef65-2afd-444b-b532-1eb782afa8cf · inbound

Improving LLM Reasoning for Vulnerability Detection via Group Relative Policy Optimization cites this paper.

Improving LLM Reasoning for Vulnerability Detection via Group Relative Policy Optimization Qwen3 Technical Report

Reference 14

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source=pdf_text observed=2026-08-06T20:32:48.035628Z digest=sha256:1fb0173d7bac990e96fe247493be7cc8f098f15649ddaf8955b1855766ca165d

Observation 8db6ac30-81e1-4f93-bbee-8a9c2f589733 · inbound

Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings cites this paper.

Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings Qwen3 Technical Report

Reference 21

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verified exact
local_arxiv, observed 2026-05-22T01:00:52.286382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T00:56:48.126302Z digest=sha256:c444a884810c0be7dc66300bec0ad6a1df94581ea35c974d38f9c13e0de7e369

Observation 692d263e-4ffd-4a57-a9c3-087be751aa98 · inbound

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs cites this paper.

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs Qwen3 Technical Report

Reference 52

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source=arxiv_source observed=2026-08-06T20:21:56.118676Z digest=sha256:1122efa3fa31bce199f21b34b7b9e66738ac945ea45d73b2b617dab81016ad26

Observation 9623587d-9122-4b72-be6c-c20cde683ec7 · inbound

SHNU Multilingual Conversational Speech Recognition System for INTERSPEECH 2025 MLC-SLM Challenge cites this paper.

SHNU Multilingual Conversational Speech Recognition System for INTERSPEECH 2025 MLC-SLM Challenge Qwen3 Technical Report

Reference 30

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source=pdf_text observed=2026-08-06T20:17:22.592761Z digest=sha256:8fdfac942360b9d6e174101ee84a533c72a73883cc74c7d59df3a687d1e188eb

Observation 57807e59-0a43-4f93-b5c0-d06b67cc9349 · inbound

BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset cites this paper.

BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset Qwen3 Technical Report

Reference 81

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source=pdf_text observed=2026-08-06T20:15:52.880163Z digest=sha256:cbbd06cc0245036445b1075283b6147937f99997eb260b99b70a08c03af37127

Observation 018e9822-7b76-4942-bc71-5ea45a1769a2 · inbound

From Query to Explanation: Uni-RAG for Multi-Modal Retrieval-Augmented Learning in STEM cites this paper.

From Query to Explanation: Uni-RAG for Multi-Modal Retrieval-Augmented Learning in STEM Qwen3 Technical Report

Reference 3

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source=pdf_text observed=2026-08-06T20:05:45.298321Z digest=sha256:ddc062694635baff342b6e24cb4109ed70cea15dbb51cc072d59c0e739c8c312

Observation 24e4a5e5-13fc-4058-85e3-0faa9280c5c7 · inbound

Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents cites this paper.

Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents Qwen3 Technical Report

Reference 6

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source=pdf_text observed=2026-08-06T20:00:56.601453Z digest=sha256:49defd38c23601bdb1c2ae81814ad0e64690d7cbd789f0f2481766437b0547e5

Observation c2a71b84-07cb-44b5-b8b8-fb73e246c707 · inbound

TopoMAS: Large Language Model Driven Topological Materials Multiagent System cites this paper.

TopoMAS: Large Language Model Driven Topological Materials Multiagent System Qwen3 Technical Report

Reference 59

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source=arxiv_source observed=2026-08-06T20:02:32.881824Z digest=sha256:4f8375f98108f1405857581f20c28784146cc45c8b09f71049d32723883316f0

Observation c25ca92c-ee27-4e5d-914e-2b0820f4a69f · inbound

Context Tuning for In-Context Optimization cites this paper.

Context Tuning for In-Context Optimization Qwen3 Technical Report

Reference 44

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source=arxiv_source observed=2026-08-06T19:59:22.859892Z digest=sha256:1d7b1ec55678a4fd6efe4dead4f546be9d879fd4ad2cd7b4cc9ef8a22173bcb4

Observation ab0df8a9-ae58-406b-bbb2-0e598e5c5aec · inbound

SpiritRAG: A Q&A System for Religion and Spirituality in the United Nations Archive cites this paper.

SpiritRAG: A Q&A System for Religion and Spirituality in the United Nations Archive Qwen3 Technical Report

Reference 2025

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source=pdf_text observed=2026-08-06T19:52:51.938479Z digest=sha256:323908fa8ab4463d778b36a2f8c5fe27eb64af90f1366b2b25b333f98b4553bb

Observation 61e0fd6c-7086-41b8-a439-e08f2b35bd76 · inbound

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs cites this paper.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Qwen3 Technical Report

Reference 83

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source=arxiv_source observed=2026-08-06T19:46:12.423489Z digest=sha256:f4e9bc86ee9b4484b9d5c5bed60329783703c89f1ddb8b09a291702a2d83bb9e

Observation a45f9d77-81c0-4953-ad88-9f07c7863be0 · inbound

LOOM-Scope: a comprehensive and efficient LOng-cOntext Model evaluation framework cites this paper.

LOOM-Scope: a comprehensive and efficient LOng-cOntext Model evaluation framework Qwen3 Technical Report

Reference 52

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source=arxiv_source observed=2026-08-06T19:45:12.547429Z digest=sha256:53be6a9eeafc2590bbecb4a87994f2f29cd315cf97d66303d552d939bc79b813