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Paper Citation Record · LEDGER

Qwen2.5 Technical Report

As of 7 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 100 inbound Pith citation observations for arXiv:2412.15115.

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

pith.paper-citation-record.v1
2412.15115 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T06:25:00.376073Z

measured 147 of 147 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 2147 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:04:35.147916Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact43
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

15
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 9f5d3df1-d9b9-42b0-ab53-5dca439cfe54 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Qwen2.5 Technical Report Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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local_arxiv, observed 2026-05-23T06:25:27.937736Z

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=2026-05-23T06:25:00.376073Z digest=sha256:ce5391ee772047808519eaf52c75abc7d13fb7684946325ff2790ce11dd77ed3

Observation a22ee628-a90a-4d3f-bbb3-a7aede61ccdd · outbound

This paper cites Nemotron-4 340B Technical Report.

Qwen2.5 Technical Report Nemotron-4 340B Technical Report

Reference 2

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arxiv_id, observed 2026-05-23T06:25:27.943130Z

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=2026-05-23T06:25:00.376073Z digest=sha256:b612a2159b0d53dc2c466afd658a4230c5bbb46a637280e652a80501cd726688

Observation 914cb692-9194-4ed0-b8ed-3af0164dd6c7 · outbound

This paper cites The Falcon Series of Open Language Models.

Qwen2.5 Technical Report The Falcon Series of Open Language Models

Reference 3

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local_arxiv, observed 2026-05-23T06:25:27.837878Z

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=2026-05-23T06:25:00.376073Z digest=sha256:f16808ae97a6de9691d4f68edcc97c35997797d1623435b427867d3a46cbdd32

Observation 8374dea5-e0e9-4881-80cd-761dfde43543 · outbound

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

Qwen2.5 Technical Report Training-Free Long-Context Scaling of Large Language Models

Reference 4

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arxiv_id, observed 2026-05-23T06:25:27.769784Z

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=2026-05-23T06:25:00.376073Z digest=sha256:d284d25133688fd7afb24e0296a8c656d08d82ce8682e04b7ae539e8440d311d

Observation 81ed722d-1ae1-4e2b-ad9c-057483ec27b4 · outbound

This paper cites Program Synthesis with Large Language Models.

Qwen2.5 Technical Report Program Synthesis with Large Language Models

Reference 5

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local_arxiv, observed 2026-05-23T06:25:27.819244Z

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=2026-05-23T06:25:00.376073Z digest=sha256:7c4d7e13c3aec3c9290f5c6347b92b9aa37fa5df22ada8639439aaaccf70b2c2

Observation a87e911b-5eef-4b83-8a67-c4d3bf2bc4e5 · outbound

This paper cites Qwen Technical Report.

Qwen2.5 Technical Report Qwen Technical Report

Reference 6

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local_arxiv, observed 2026-05-23T06:25:27.966639Z

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=2026-05-23T06:25:00.376073Z digest=sha256:32af7ef9588d3cfb4767c96f7a21b334334b9d01ddb993669c76598a6b96eefa

Observation 148813b0-329c-4d88-a404-310f1eb67be9 · outbound

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

Qwen2.5 Technical Report The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants

Reference 7

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arxiv_id, observed 2026-05-23T06:25:27.844262Z

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=2026-05-23T06:25:00.376073Z digest=sha256:7ad4b857fb540805cb19fa547ea94d9355d304908f7e2a48823257bc602f5327

Observation fa7ed495-93dd-474b-8551-9800b11553a2 · outbound

This paper cites Towards Scalable Automated Alignment of LLMs: A Survey.

Qwen2.5 Technical Report Towards Scalable Automated Alignment of LLMs: A Survey

Reference 8

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arxiv_id, observed 2026-05-23T06:25:27.758461Z

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=2026-05-23T06:25:00.376073Z digest=sha256:584db30144dbe6336be9b7796d241f0ed4f8f9ef1a46fdb68d7f4e4d00832bc8

Observation 22d830f4-74cf-4782-903c-a0e1f43e16db · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Qwen2.5 Technical Report Evaluating Large Language Models Trained on Code

Reference 9

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local_arxiv, observed 2026-05-23T06:25:27.879934Z

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=2026-05-23T06:25:00.376073Z digest=sha256:4b6f1bfe6b5ab3ede393ddf4cce54e4d43bce2123caf70e58c7325967c725ae9

Observation baa72cd3-0129-45f0-b5d3-80fd13f00bb3 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Qwen2.5 Technical Report Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 10

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local_arxiv, observed 2026-05-23T06:25:27.884697Z

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=2026-05-23T06:25:00.376073Z digest=sha256:dd8a9411c815ba5bcbe8af906232acd854dce23c4d5b04c9af2900ce53877a7e

Observation b00c9088-b722-429b-839c-26cbf4bd0dfb · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Qwen2.5 Technical Report Training Verifiers to Solve Math Word Problems

Reference 11

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local_arxiv, observed 2026-05-23T06:25:27.890600Z

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=2026-05-23T06:25:00.376073Z digest=sha256:bc55836a94bd9af1547547c471322f742aa490f25864fecfef7efae9ddb7eaec

Observation 3b94b0aa-9468-4e83-a032-5532d29d9a5d · outbound

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

Qwen2.5 Technical Report DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 12

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verified exact
local_arxiv, observed 2026-05-23T06:25:27.923575Z

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=2026-05-23T06:25:00.376073Z digest=sha256:5fa50f6c27430548f8238e7e79224d907dae3d2ca8d962332803de6805934361

Observation 0733fce3-e250-431b-8b21-179f19466225 · outbound

This paper cites Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models.

Qwen2.5 Technical Report Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models

Reference 13

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arxiv_id, observed 2026-05-23T06:25:27.821845Z

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=2026-05-23T06:25:00.376073Z digest=sha256:7bbc42dbc23075912dd824a9ed9c11b387d85c647584c3e0c8f0478584e02361

Observation 9275a3ab-4f23-430e-99c3-df29944bcc45 · outbound

This paper cites Multi-Programming Language Sandbox for LLMs.

Qwen2.5 Technical Report Multi-Programming Language Sandbox for LLMs

Reference 14

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verified exact
arxiv_id, observed 2026-05-23T06:25:27.809829Z

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=2026-05-23T06:25:00.376073Z digest=sha256:96cc9362291ff2d42192b37b7709219ccbea9d7662c8ed8433e58544d4195d27

Observation 60dc00e3-dbea-492c-9eff-40f80dc1b04e · outbound

This paper cites The Llama 3 Herd of Models.

Qwen2.5 Technical Report The Llama 3 Herd of Models

Reference 15

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verified exact
local_arxiv, observed 2026-05-23T06:25:27.848402Z

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=2026-05-23T06:25:00.376073Z digest=sha256:9c40dbe1318434b87c34cee21458704326e78763cf87160f13ab9187d0ec4122

Observation dde02ecc-28d0-47ed-b2f4-c730fd0ebc23 · outbound

This paper cites MERA: A Comprehensive LLM Evaluation in Russian.

Qwen2.5 Technical Report MERA: A Comprehensive LLM Evaluation in Russian

Reference 16

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arxiv_id, observed 2026-05-23T06:25:27.937180Z

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=2026-05-23T06:25:00.376073Z digest=sha256:8386e57df412dccc4ed76e5636b5b25c95ccebba58a7f7ea4fcd472f6ca58317

Observation 1be5e7df-2b31-4e5b-af58-5138884f6000 · outbound

This paper cites How to Evaluate Reward Models for RLHF.

Qwen2.5 Technical Report How to Evaluate Reward Models for RLHF

Reference 17

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verified exact
arxiv_id, observed 2026-05-23T06:25:27.824781Z

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=2026-05-23T06:25:00.376073Z digest=sha256:d551663fdb803aebf8888d958f40e59fa4755f50b9d10751f6ebe20f1f86447d

Observation 9e27ef05-20e7-47ae-badf-b49b21286739 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Qwen2.5 Technical Report Gemma 2: Improving Open Language Models at a Practical Size

Reference 18

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metadata mismatch
local_arxiv, observed 2026-05-23T06:25:27.909331Z

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=2026-05-23T06:25:00.376073Z digest=sha256:a8ec6533c1f3cb140d6e583bd3ecd52b3913bdf77a573379922d80f00c1dabac

Observation d1719ae1-6120-4019-b2f1-392737d9254a · outbound

This paper cites Training Compute-Optimal Large Language Models.

Qwen2.5 Technical Report Training Compute-Optimal Large Language Models

Reference 19

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verified exact
local_arxiv, observed 2026-05-23T06:25:27.889490Z

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=2026-05-23T06:25:00.376073Z digest=sha256:d3c66a64f00815f64343d96f21d2612f9bd0508bab7cc5e0e77671f37cabfa0c

Observation 9980a612-065d-4e78-8bb1-ddf8a96334c8 · outbound

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

Qwen2.5 Technical Report RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 20

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verified exact
local_arxiv, observed 2026-05-23T06:25:27.894293Z

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=2026-05-23T06:25:00.376073Z digest=sha256:da209dc4eeaf9c646c79a1fe09e542b64203eb51e75b5ff5e9d133d9affddd12

Observation 41584190-c4e0-4a12-8bbb-b2645c0a89f1 · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

Qwen2.5 Technical Report MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 21

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verified exact
local_arxiv, observed 2026-05-23T06:25:27.928825Z

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=2026-05-23T06:25:00.376073Z digest=sha256:a14daf27a65ca43c8e6594fca416fa96a783e7b5da211ce337e1fe0ffe85ee51

Observation add356ca-c53c-40d0-9a51-9c63a5b06adc · outbound

This paper cites Qwen2.5-Coder Technical Report.

Qwen2.5 Technical Report Qwen2.5-Coder Technical Report

Reference 22

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local_arxiv, observed 2026-05-23T06:25:27.941162Z

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=2026-05-23T06:25:00.376073Z digest=sha256:f43b16cef64794436c330bb8e8baa9fe8368a2fabf6a76bc59b27c709b23e951

Observation 0305a00d-847a-4562-9b95-6f99ef9a042a · outbound

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

Qwen2.5 Technical Report LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 23

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verified exact
local_arxiv, observed 2026-05-23T06:25:27.853007Z

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=2026-05-23T06:25:00.376073Z digest=sha256:3fabbb8c24061905dd44ad39932fe8ce0c6de44550936c8a840ae7f48e6b76be

Observation 0c831d56-0b71-4c3f-ba23-bbe52a64a876 · outbound

This paper cites Mistral 7B.

Qwen2.5 Technical Report Mistral 7B

Reference 24

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verified exact
local_arxiv, observed 2026-05-23T06:25:27.767628Z

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=2026-05-23T06:25:00.376073Z digest=sha256:4d159a82d28b315dee3bd37b3468c887d7f64bd0c259ec283cf46c2d4fe80a16

Observation 936ed788-f2ff-4077-8299-61906f93abfb · outbound

This paper cites RewardBench: Evaluating Reward Models for Language Modeling.

Qwen2.5 Technical Report RewardBench: Evaluating Reward Models for Language Modeling

Reference 25

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verified exact
arxiv_id, observed 2026-05-23T06:25:27.895174Z

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=2026-05-23T06:25:00.376073Z digest=sha256:b1ce29fd73cf1a7342fa37e12987bcd6766bcf094795dacfa6a8c0c357fa6818

Observation e5e27840-dab8-41a2-b8f2-840c0c8dea2c · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

Qwen2.5 Technical Report GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 26

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verified exact
local_arxiv, observed 2026-05-23T06:25:27.905028Z

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=2026-05-23T06:25:00.376073Z digest=sha256:8bf5d91d12443dbb211423155e2c544a3fcc1d321f224a524fb3a87241172ade

Observation 3a66b36c-cc5e-4138-9e7e-22e305edfa49 · outbound

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

Qwen2.5 Technical Report From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline

Reference 27

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metadata mismatch
local_arxiv, observed 2026-05-23T06:25:27.947989Z

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=2026-05-23T06:25:00.376073Z digest=sha256:95a2cfcddc6685f2a3107d3f81118849aa6624cd692799eb32dec16afe02b509

Observation f40e3127-5121-4f19-9b5f-901994342f6c · outbound

This paper cites Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment.

Qwen2.5 Technical Report Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment

Reference 28

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verified exact
arxiv_id, observed 2026-05-23T06:25:27.962311Z

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=2026-05-23T06:25:00.376073Z digest=sha256:231d03603b0bfc9de729d5daf544640676980ec9239d5fb01662197ab93ce440

Observation bd9e81ad-664c-49d1-9c26-f849f0828818 · outbound

This paper cites BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages.

Qwen2.5 Technical Report BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages

Reference 29

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verified exact
arxiv_id, observed 2026-05-23T06:25:27.815824Z

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=2026-05-23T06:25:00.376073Z digest=sha256:11f84ed1267981d8b9d7fd3a444cdb0c1120da5af32c89cb66a129472e30ecab

Observation f80cfd77-9333-46ef-84ca-c2a61b1ec2f8 · outbound

This paper cites GPT-4 Technical Report.

Qwen2.5 Technical Report GPT-4 Technical Report

Reference 30

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local_arxiv, observed 2026-05-23T06:25:27.913692Z

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=2026-05-23T06:25:00.376073Z digest=sha256:36c8b121fedb12e77f03ba7ced43e42b9c2d4add60164c5b46c13d71980ad733

Observation f8983fe4-d72b-4e31-a4be-f3e09286cc72 · outbound

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

Qwen2.5 Technical Report YaRN: Efficient Context Window Extension of Large Language Models

Reference 31

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local_arxiv, observed 2026-05-23T06:25:27.971780Z

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=2026-05-23T06:25:00.376073Z digest=sha256:d37f63e94b2ec2b3d31224d187a090de174364e37ac70be707aae06425dcfa39

Observation aa1c5a91-2fb0-4d88-b953-8733e7e3c082 · outbound

This paper cites Language Models can Self-Lengthen to Generate Long Texts.

Qwen2.5 Technical Report Language Models can Self-Lengthen to Generate Long Texts

Reference 32

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arxiv_id, observed 2026-05-23T06:25:27.918746Z

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=2026-05-23T06:25:00.376073Z digest=sha256:4f67e1139de9280570c6f4738be3c0324ff4dbc060149bfb20c0ef2b9ff1c9bc

Observation de112e98-03fe-4b84-bac7-3f5d04154ccb · outbound

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

Qwen2.5 Technical Report GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 33

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verified exact
local_arxiv, observed 2026-05-23T06:25:27.952223Z

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=2026-05-23T06:25:00.376073Z digest=sha256:ed199ce9c7f9252282217c7dda0c062b244a6f84048e796abec3f3442cd4afdb

Observation 50638c96-b563-4457-a6ae-4d58e91d9014 · outbound

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

Qwen2.5 Technical Report DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 34

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verified exact
local_arxiv, observed 2026-05-23T06:25:27.933225Z

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=2026-05-23T06:25:00.376073Z digest=sha256:f33fb07e6ec028781634b46f2f9cf4609e51d16252750dd04d7caa31d3e8fb44

Observation 49b498cc-dc7f-4a27-9f4d-50cc174ecac6 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Qwen2.5 Technical Report LLaMA: Open and Efficient Foundation Language Models

Reference 35

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verified exact
local_arxiv, observed 2026-05-23T06:25:27.904800Z

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=2026-05-23T06:25:00.376073Z digest=sha256:5b79233db45e067dba1608119ba3615c12d931717c2aa32b5172d11c8dd02005

Observation 6fc7a908-e2fc-48ce-bc07-3bf1539d8369 · outbound

This paper cites Secrets of RLHF in Large Language Models Part II: Reward Modeling.

Qwen2.5 Technical Report Secrets of RLHF in Large Language Models Part II: Reward Modeling

Reference 36

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arxiv_id, observed 2026-05-23T06:25:27.899604Z

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=2026-05-23T06:25:00.376073Z digest=sha256:7d655d8d37ef4e3b25c2e4c57bc2f72b7bd5fd831782aeff70f905cc830c21ce

Observation 8718085d-9a5e-4b4f-a63a-211e2601203f · outbound

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

Qwen2.5 Technical Report MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 37

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local_arxiv, observed 2026-05-23T06:25:27.932902Z

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=2026-05-23T06:25:00.376073Z digest=sha256:07f3b6805d5b7c4a7ee8ece4f9ebdbdc627b2f748fdece290ca858f5364aaecd

Observation 5960412d-7873-4b04-b976-dbb4139789b6 · outbound

This paper cites Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models.

Qwen2.5 Technical Report Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models

Reference 38

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arxiv_id, observed 2026-05-23T06:25:27.835397Z

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=2026-05-23T06:25:00.376073Z digest=sha256:2a19f5a308c2af6460e06fdbb589fd5e50c15da993b5fb21e243bdb55f7c336d

Observation 24f88f60-4a42-4d81-8380-fccf16f39c25 · outbound

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

Qwen2.5 Technical Report Effective Long-Context Scaling of Foundation Models

Reference 39

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arxiv_id, observed 2026-05-23T06:25:27.807139Z

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=2026-05-23T06:25:00.376073Z digest=sha256:fef87c9a5a0cc4b12e60fdc43860dd9d0d4878d84a2868ea5ac11816cd0551f3

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

This paper cites Qwen2 Technical Report.

Qwen2.5 Technical Report Qwen2 Technical Report

Reference 40

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

source=pdf_text observed=2026-05-23T06:25:00.376073Z digest=sha256:e8ecc18765f779ecd5ae87b5ee0a78cc242b318bf0573ce90edb4300c832f68f

Observation 9cf2edea-2475-4181-88fc-12694aff65d2 · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

Qwen2.5 Technical Report Yi: Open Foundation Models by 01.AI

Reference 41

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local_arxiv, observed 2026-05-23T06:25:27.923861Z

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=2026-05-23T06:25:00.376073Z digest=sha256:8fce2eee40188a8521051d1e7b3c612fcb0d5fb8025098f5cba9e50760c99610

Observation e6d4dd10-ed67-4f06-890c-baa4d6670b42 · outbound

This paper cites LV-Eval: A balanced long-context benchmark with 5 length levels up to 256K.

Qwen2.5 Technical Report LV-Eval: A balanced long-context benchmark with 5 length levels up to 256K

Reference 42

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arxiv_id, observed 2026-05-23T06:25:27.853974Z

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=2026-05-23T06:25:00.376073Z digest=sha256:106e2ece8214d8beea2bda27750127f1ee77f296b1afd8465d487d75e240502c

Observation dd476271-6bab-4475-b7b8-2ee47128b01a · outbound

This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

Qwen2.5 Technical Report Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Reference 43

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local_arxiv, observed 2026-05-23T06:25:27.909592Z

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=2026-05-23T06:25:00.376073Z digest=sha256:8ce9c2bae479af20078f51420cf723465506bbf07d67c16cce72d9d9265e7325

Observation 347f6f73-969d-405a-ac25-2cec231bf1d5 · outbound

This paper cites P-MMEval: A parallel multilingual multitask benchmark for consistent evaluation of LLMs.

Qwen2.5 Technical Report P-MMEval: A parallel multilingual multitask benchmark for consistent evaluation of LLMs

Reference 44

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arxiv_id, observed 2026-05-23T06:25:27.957243Z

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=2026-05-23T06:25:00.376073Z digest=sha256:2e76ec66ac31e3534f6731ccbfa81160508b79d2f15f664f30b10c1d4c695b05

Observation d474fa82-b0e3-4186-8838-bca08a1cde27 · outbound

This paper cites RMB: Comprehensively Benchmarking Reward Models in LLM Alignment.

Qwen2.5 Technical Report RMB: Comprehensively Benchmarking Reward Models in LLM Alignment

Reference 45

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arxiv_id, observed 2026-05-23T06:25:27.848180Z

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=2026-05-23T06:25:00.376073Z digest=sha256:cbe2bb5577b3a1b87a75023a5988b586e3528416b15dd4fab7d24804aed45c92

Observation e0eaddbb-0a3b-47b2-87fa-ff3f5f474067 · outbound

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

Qwen2.5 Technical Report Instruction-Following Evaluation for Large Language Models

Reference 46

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local_arxiv, observed 2026-05-23T06:25:27.843089Z

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=2026-05-23T06:25:00.376073Z digest=sha256:5a2f9d6cb0101d4181f4af5dbbaf190c9ead0bf944c0d4479dd619b754f28dd0

Observation d9c6a86d-8593-45dd-b90e-4b29d085d8c4 · outbound

This paper cites ST-MoE: Designing Stable and Transferable Sparse Expert Models.

Qwen2.5 Technical Report ST-MoE: Designing Stable and Transferable Sparse Expert Models

Reference 47

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local_arxiv, observed 2026-05-23T06:25:27.899582Z

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=2026-05-23T06:25:00.376073Z digest=sha256:6a0362fe94758b790b6b5487329e8b94b52f6457a561c63c1aa8da165b6f4146

Pith citing papers

Observation 8b193381-dc75-462e-be5d-2d425542838a · inbound

BatchLLM: Optimizing Large Batched LLM Inference with Global Prefix Sharing and Throughput-oriented Token Batching cites this paper.

BatchLLM: Optimizing Large Batched LLM Inference with Global Prefix Sharing and Throughput-oriented Token Batching Qwen2.5 Technical Report

Reference 28

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local_arxiv, observed 2026-05-23T16:58:11.897690Z

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=2026-05-23T16:57:46.645061Z digest=sha256:2c803ae76d5fd86cc3aef609b0e62eea11801c6e9d4449464c78b69fa92f82ba

Observation cd9be310-2ffd-4271-83d2-bae54dc3718c · inbound

Titans: Learning to Memorize at Test Time cites this paper.

Titans: Learning to Memorize at Test Time Qwen2.5 Technical Report

Reference 123

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local_arxiv, observed 2026-05-14T22:08:15.296330Z

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=2026-05-14T22:08:14.982302Z digest=sha256:175efb3d1afd96272bde96d5cbe409dc66774585e92827cd674272d2fae5c6fd

Observation 19539d67-7f77-4080-a5a1-eb1b8ec97c8b · inbound

Cosmos World Foundation Model Platform for Physical AI cites this paper.

Cosmos World Foundation Model Platform for Physical AI Qwen2.5 Technical Report

Reference 229

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local_arxiv, observed 2026-05-10T23:38:46.087813Z

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=2026-05-10T23:38:44.933410Z digest=sha256:cc04ee04e81b96a2097f7c18f0477438a91deb18eccc947087294a2d643f9637

Observation 6e5316db-1273-4e35-a47f-536a0b9c8d42 · inbound

GWT: Scalable Optimizer State Compression for Large Language Model Training cites this paper.

GWT: Scalable Optimizer State Compression for Large Language Model Training Qwen2.5 Technical Report

Reference 51

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local_arxiv, observed 2026-05-23T05:57:36.677843Z

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=2026-05-23T05:57:09.276224Z digest=sha256:ca1e5778c5491ebde33ef1025b57e1d2e615db68841865b4099c43715c0807dd

Observation 95cf406f-2484-4a85-87b3-acf22e365bfa · inbound

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Qwen2.5 Technical Report

Reference 170

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local_arxiv, observed 2026-05-15T21:20:59.380626Z

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=2026-05-15T21:20:59.128986Z digest=sha256:378af7c4fd307346ca4e80e197b220dd4233d1d5f835e885beb4d42cef1d175c

Observation bb2c9b55-40e4-4b0a-affb-ca650ef9bf3d · inbound

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding cites this paper.

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding Qwen2.5 Technical Report

Reference 5

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local_arxiv, observed 2026-05-11T01:19:59.781274Z

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=2026-05-11T01:19:59.603343Z digest=sha256:ca88ae6620664f6f80774ed7642dba09b69a9a991e7bac812cfba2366a22f177

Observation d753ad3e-ebf0-43d6-84fc-c067e8cdd3f4 · inbound

DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks cites this paper.

DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks Qwen2.5 Technical Report

Reference 20

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local_arxiv, observed 2026-05-23T04:02:30.443716Z

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=2026-05-23T03:58:48.967122Z digest=sha256:ae48a848366298d52202db73c5195596df67af6475fdfc2db7bb8b0dd51c6aba

Observation 84dc5ad0-4c54-40e2-9e58-6c542fe79caa · inbound

Process Reinforcement through Implicit Rewards cites this paper.

Process Reinforcement through Implicit Rewards Qwen2.5 Technical Report

Reference 115

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local_arxiv, observed 2026-05-11T20:23:30.932184Z

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=arxiv_source observed=2026-05-11T20:23:30.763794Z digest=sha256:7341abd694df793baddd2782f67cb786d4ccaffe810bd97c751093608a58ff08

Observation 5200c9a4-44a2-4a84-926e-2f3d7e2585a9 · 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 Qwen2.5 Technical Report

Reference 244

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local_arxiv, observed 2026-05-13T17:30:03.057780Z

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=arxiv_source observed=2026-05-13T17:30:02.803757Z digest=sha256:7ca86005c9bff01bc56ec937f0a5bbe077fdd130d8ca371770bf42ea1baefaa3

Observation fb0c9fd6-0043-4bde-b6a0-5a9ae5709661 · inbound

Large Language Models for Multi-Robot Systems: A Survey cites this paper.

Large Language Models for Multi-Robot Systems: A Survey Qwen2.5 Technical Report

Reference 131

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local_arxiv, observed 2026-05-23T04:32:32.248001Z

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=2026-05-23T04:32:05.138744Z digest=sha256:4cbcc7e5a3206f1e09ceb08348485633d398f2b6318d30927951ebeb46f82e8a

Observation 72e4b675-bb35-4329-a51c-330e60435d77 · inbound

MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces cites this paper.

MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Qwen2.5 Technical Report

Reference 57

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local_arxiv, observed 2026-05-23T03:17:27.387911Z

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=arxiv_source observed=2026-05-23T03:16:10.826692Z digest=sha256:df512fda0557a9acf58449c2c4d9e535bb1639b18187f79630fc42a9ed7bffd6

Observation e7dd0ad2-5f89-448f-8faf-d6622d9d514a · inbound

Large Language Diffusion Models cites this paper.

Large Language Diffusion Models Qwen2.5 Technical Report

Reference 27

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local_arxiv, observed 2026-05-11T01:42:55.105328Z

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=2026-05-11T01:42:54.279353Z digest=sha256:9146b0ba11d55acdde273ab78c3bff9fb0d16d160dbf1282db06d43d8160ba17

Observation 58807587-7c40-4eac-b675-59f94633fcfc · inbound

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

Hallucinations are inevitable but can be made statistically negligible Qwen2.5 Technical Report

Reference 29

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local_arxiv, observed 2026-05-23T02:42:25.855935Z

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=2026-05-23T02:41:59.640979Z digest=sha256:3fe6e677b09bdff20ee63b2471740740da0ba79714fbec7c542f35b1ad796e43

Observation e79fe5f8-5b77-45b0-8c8e-162d08d2de25 · inbound

MoBA: Mixture of Block Attention for Long-Context LLMs cites this paper.

MoBA: Mixture of Block Attention for Long-Context LLMs Qwen2.5 Technical Report

Reference 45

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local_arxiv, observed 2026-05-16T06:15:46.147240Z

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=arxiv_source observed=2026-05-16T06:15:46.085555Z digest=sha256:309da337afcd515950549fc75dec295af97692608e1062de6217124d48e08718

Observation c4c63a6f-3aa2-44d4-b62d-599888548340 · inbound

Qwen2.5-VL Technical Report cites this paper.

Qwen2.5-VL Technical Report Qwen2.5 Technical Report

Reference 36

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local_arxiv, observed 2026-05-23T02:25:19.047849Z

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=2026-05-23T02:25:04.405036Z digest=sha256:be35090a8521e14ec8726a4a1b5a5ac0491237cf6e11d2fb91bde8ab7ac02617

Observation 6e1b35c5-3d39-4001-9037-49b60bd99557 · inbound

Responsible Federated LLMs via Safety Filtering and Constitutional AI cites this paper.

Responsible Federated LLMs via Safety Filtering and Constitutional AI Qwen2.5 Technical Report

Reference 38

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local_arxiv, observed 2026-05-23T02:22:25.207520Z

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=2026-05-23T02:20:07.800524Z digest=sha256:540f502659e7e1ab72f287db2500961de97eff471a57cc563d6e129692f3898d

Observation 3f2a0681-8893-47c9-9788-51b10763fb44 · inbound

Muon is Scalable for LLM Training cites this paper.

Muon is Scalable for LLM Training Qwen2.5 Technical Report

Reference 86

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metadata mismatch
local_arxiv, observed 2026-05-11T23:02:52.338525Z

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=arxiv_source observed=2026-05-11T23:02:51.656353Z digest=sha256:a1ff81b73ce2d3cda92439a1bd5b6918ce8f7c1b9c49c04e922662f895c3690d

Observation b739bc70-020e-4c95-954b-0a94ff1d40de · inbound

Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation cites this paper.

Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation Qwen2.5 Technical Report

Reference 39

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verified exact
local_arxiv, observed 2026-05-23T02:55:19.599287Z

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=arxiv_source observed=2026-05-23T02:54:08.887874Z digest=sha256:dab06bdf0935abe3be3476111877ce74a256a6ce642c83bce9cf83af5b8db833

Observation 1c79e3af-08c5-4497-81b2-32ca75017d6e · inbound

LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification cites this paper.

LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification Qwen2.5 Technical Report

Reference 10

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local_arxiv, observed 2026-05-23T01:57:22.791289Z

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=2026-05-23T01:57:19.398245Z digest=sha256:bb4aab3e820104e5657a25d06404ca00c68d6f300beea7e971842b24c6d8bd76

Observation 2f7f39f3-8f3c-49e8-ba1e-265e0a601f38 · inbound

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution cites this paper.

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution Qwen2.5 Technical Report

Reference 178

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local_arxiv, observed 2026-05-15T10:27:56.361602Z

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=arxiv_source observed=2026-05-15T10:27:56.185943Z digest=sha256:813ffff528b4d94f44c3d7c20a170b7ed39e6d5ea4437daf514023c9989c9499

Observation 8182dada-8e4e-4b85-b829-818fd0c1e904 · inbound

Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs cites this paper.

Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Qwen2.5 Technical Report

Reference 51

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local_arxiv, observed 2026-05-11T22:22:27.732347Z

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=2026-05-11T22:22:27.455361Z digest=sha256:4cbf321586044dd9cfa963830763603ac333f52027acf3376eec23565578ee33

Observation 66dbb2e7-b9e5-4367-ab1e-bff16a816607 · inbound

In-depth Analysis of Graph-based RAG in a Unified Framework cites this paper.

In-depth Analysis of Graph-based RAG in a Unified Framework Qwen2.5 Technical Report

Reference 92

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verified exact
local_arxiv, observed 2026-05-23T01:37:22.175881Z

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=2026-05-23T01:36:25.057478Z digest=sha256:888f9bdcdb3651a7a7f0d18da0528f876faab9308354604cea15bdd8aa0504ed

Observation 51bca921-17ac-442e-a70b-b5b802bdf172 · inbound

L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning cites this paper.

L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning Qwen2.5 Technical Report

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T00:19:22.234153Z

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=2026-05-18T00:19:22.140009Z digest=sha256:76031141c4ba6cfef5e2023822528b2e24c4ebf8462b0d226668ba8fbbf07984

Observation 80d1d5ba-8d0c-4438-a841-2e31ccb1852f · inbound

DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies cites this paper.

DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies Qwen2.5 Technical Report

Reference 51

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local_arxiv, observed 2026-05-22T23:52:16.778905Z

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=2026-05-22T23:51:43.934329Z digest=sha256:e83481349dd609e65126574bda24b3720d68f5b319031da755d229a07a48d046

Observation 325e40a2-7203-4c23-a302-e01e0e0d2c30 · inbound

DAPO: An Open-Source LLM Reinforcement Learning System at Scale cites this paper.

DAPO: An Open-Source LLM Reinforcement Learning System at Scale Qwen2.5 Technical Report

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-22T23:35:13.440483Z

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=2026-05-22T23:33:10.824995Z digest=sha256:c0165aed5f8b5262c7258c8d0661d7ee331304bf7d954c84c4f8b82cd484d371

Observation 8bbb0c36-be22-4dc9-9117-6c374b17b8a8 · inbound

OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles cites this paper.

OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles Qwen2.5 Technical Report

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-05-19T06:59:03.307392Z

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=2026-05-19T06:59:03.112252Z digest=sha256:967dc50d00eb7f16002389f49ac7beaa7a75357961993a907845ec3b4054e8b2

Observation 03a2ec9f-0ac4-4ca8-a178-d1a77903aa19 · inbound

Evaluating Clinical Competencies of Large Language Models with a General Practice Benchmark cites this paper.

Evaluating Clinical Competencies of Large Language Models with a General Practice Benchmark Qwen2.5 Technical Report

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-22T23:42:16.447182Z

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=2026-05-22T23:40:25.111680Z digest=sha256:19e0e87e32276c898f1b16f88a9421b64d5d56e3e57ed0b75fedd36e13cfb26a

Observation 0589ec8a-ab56-4cf9-9df7-0e2aec0123b0 · inbound

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning cites this paper.

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning Qwen2.5 Technical Report

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-16T15:48:34.765676Z

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=2026-05-16T15:48:34.705881Z digest=sha256:b2d538f1a6a426e04534d1f141721bdf1beab064c9f5d43a450258e3616ada19

Observation c58af471-7ade-4872-ac05-50ae8017c3ae · inbound

Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models cites this paper.

Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models Qwen2.5 Technical Report

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-22T22:15:11.186567Z

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=2026-05-22T22:14:53.522206Z digest=sha256:71372a661ae05ed8dc94215ac1f395274d3b730aaa69612d0d3890089547ec33

Observation b9edc57b-42a4-46a4-bd98-c10ff3a6f1dc · inbound

VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness cites this paper.

VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness Qwen2.5 Technical Report

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-05-14T18:42:03.157051Z

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=2026-05-14T18:42:02.940250Z digest=sha256:611b4b040d43cbdf4e12b85abe054ca217a9f97238f687e0c994095a46f27589

Observation 49d788de-9ac6-42f3-992a-541991d70700 · 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? Qwen2.5 Technical Report

Reference 75

Resolution
verified exact
local_arxiv, observed 2026-05-22T22:42:13.575334Z

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=2026-05-22T22:38:35.969273Z digest=sha256:28114097508041a2b3babafcfebb32ec35d15641512f143e3ee51d7a8810a69b

Observation 1af8fc89-f3b7-4fdb-890b-1520a64dde21 · inbound

SpaceR: Reinforcing MLLMs in Video Spatial Reasoning cites this paper.

SpaceR: Reinforcing MLLMs in Video Spatial Reasoning Qwen2.5 Technical Report

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-15T15:18:43.839085Z

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=2026-05-15T15:18:43.724432Z digest=sha256:d0c633c34adbd638f89420a4b59103937d6307c9cb9388b335a8c4d03dc0df58

Observation 5de5ed47-0ae7-4f55-ad67-7ddd1d9e27c7 · 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 Qwen2.5 Technical Report

Reference 119

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T21:42:11.376312Z

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=sha256:9a152ac454eee98dc3caafcba4d7855bb8ff8cb136d685654152778202923f24

Observation 8d9c8592-7fec-4e78-afec-19bd831660de · inbound

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cites this paper.

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems Qwen2.5 Technical Report

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-22T21:42:10.476354Z

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=2026-05-22T21:39:49.832151Z digest=sha256:3e817620ee6dbd5d67ed3bf3ba5f1f1ea7609fedfbab48ae24dd6784f8f80ae2

Observation 20980ab5-e122-4442-bb27-06a258e16f92 · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning Qwen2.5 Technical Report

Reference 238

Resolution
verified exact
local_arxiv, observed 2026-05-22T21:22:08.864966Z

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=2026-05-22T21:20:07.238992Z digest=sha256:c9ab414d9ab2e3c9a1211fa89ee5c90de8872727a97e78a9745ad74b6ea746ae

Observation e3e3247f-29a4-4ae2-a1fb-2f6d60552615 · inbound

VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning cites this paper.

VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning Qwen2.5 Technical Report

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-15T20:56:07.729810Z

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=2026-05-15T20:56:07.247122Z digest=sha256:75bc868b2f25246ec5abf132c29078c587cc6d8610c22364dda39daccd5a6ec1

Observation 1ef31855-9426-4c9b-acd4-efe902cbf808 · inbound

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs cites this paper.

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs Qwen2.5 Technical Report

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-13T18:42:39.113509Z

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=2026-05-13T18:42:39.023650Z digest=sha256:cf948285590d591efa0495866c15402e157309254f9a5d349307e59cf87bdfdc

Observation 716c7a44-bea0-4409-a367-16de67141780 · inbound

QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model cites this paper.

QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model Qwen2.5 Technical Report

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-22T19:45:03.990046Z

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=2026-05-22T19:44:16.630377Z digest=sha256:d8571238ea55f0d879de3cbd1f4819c7cc5d5fc15760c15b7aa0552aecafd34d

Observation 74e7a5b1-46e3-4ff0-a7d6-2cc5e858b684 · 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 Qwen2.5 Technical Report

Reference 155

Resolution
verified exact
local_arxiv, observed 2026-05-13T22:21:15.790594Z

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=2026-05-13T22:21:15.681336Z digest=sha256:bd61f0d21f7d014c007a857482faee19ce1e427e2806a673a8f4ae0da7fdc2a5

Observation 19e55a1e-4fc0-4ae6-8fd8-af7e2f18d36e · inbound

Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning cites this paper.

Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning Qwen2.5 Technical Report

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T18:46:57.095575Z

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=2026-05-22T18:46:11.571831Z digest=sha256:8d4e22905f70ede693f0a619bc5907dd9f68976de2b515caaa5986a61b9fd332

Observation c50f2eae-1817-428f-b0d1-9416ce291609 · inbound

Learning to Reason under Off-Policy Guidance cites this paper.

Learning to Reason under Off-Policy Guidance Qwen2.5 Technical Report

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-05-15T23:17:02.803631Z

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=2026-05-15T23:17:02.701393Z digest=sha256:761f9461820e6efeb478e972d10d4ff41db896751c78476d80a0f5e3ab0470ae

Observation 4cc814ab-815a-488c-baf3-71847d54e6f5 · inbound

Kimi-Audio Technical Report cites this paper.

Kimi-Audio Technical Report Qwen2.5 Technical Report

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-05-11T19:21:27.108149Z

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=2026-05-11T19:21:26.933349Z digest=sha256:a4e8600843d63f167c2ce2fac572a85565c224ea43a32c77ed691af9e69b56c3

Observation 2df42f23-329a-4843-9ec3-96e5ee25bd9d · inbound

BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese cites this paper.

BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese Qwen2.5 Technical Report

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-17T22:04:49.973955Z

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=2026-05-17T22:04:49.915916Z digest=sha256:c5a760ab91cbae2a6e0f694f288ac082e056777fededfdcc8b736ba22e3976a7

Observation 1abeb772-11dd-479a-a13d-9435f7103148 · inbound

Reinforcement Learning for Reasoning in Large Language Models with One Training Example cites this paper.

Reinforcement Learning for Reasoning in Large Language Models with One Training Example Qwen2.5 Technical Report

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-15T19:51:05.114377Z

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=2026-05-15T19:51:04.779597Z digest=sha256:6d56d5d7feae2339095c65b1291797b0653996233404745025f0f8466546aabc

Observation 8307ea11-0e5e-435d-a947-f20e74869e07 · inbound

Phi-4-reasoning Technical Report cites this paper.

Phi-4-reasoning Technical Report Qwen2.5 Technical Report

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-05-17T03:40:25.850758Z

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=2026-05-17T03:40:25.706499Z digest=sha256:83c13e6191e1b800385f2964ec9889de0af168dfd1cb410a1980b9516f238d66

Observation aa975921-a336-4d99-a83b-211209b76f89 · inbound

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

WebThinker: Empowering Large Reasoning Models with Deep Research Capability Qwen2.5 Technical Report

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-05-16T19:14:25.346868Z

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=2026-05-16T19:14:25.283645Z digest=sha256:bc06f94751282ee4b4787e281eac5934737c23caff35908adcbb0e540bcd788a

Observation 15ea5b9d-3244-48d0-8a8f-bcaa4af6e6d5 · inbound

ZeroSearch: Incentivize the Search Capability of LLMs without Searching cites this paper.

ZeroSearch: Incentivize the Search Capability of LLMs without Searching Qwen2.5 Technical Report

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-17T17:44:13.416209Z

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=2026-05-17T17:44:13.310155Z digest=sha256:6135786a2c90f200bdb854c7ecef33d10da426a350b8f84bf13a9d4fc92008f9

Observation fb050e05-cf9e-4512-a379-497430c95abd · inbound

ZeroSearch: Incentivize the Search Capability of LLMs without Searching cites this paper.

ZeroSearch: Incentivize the Search Capability of LLMs without Searching Qwen2.5 Technical Report

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-22T16:06:46.030639Z

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=2026-05-22T16:05:04.715678Z digest=sha256:02f143c64cea0f6e870da63b2319fa27e0b13e7eb4c920ea7fa50c2d26f9e895

Observation aa5a6519-e0c9-4d68-9555-a008b5852419 · inbound

Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation cites this paper.

Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation Qwen2.5 Technical Report

Reference 89

Resolution
verified exact
local_arxiv, observed 2026-05-17T07:24:04.718918Z

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=2026-05-17T07:24:04.460276Z digest=sha256:8de4bcc4fd46093a5db4ee07ad555fcd636db81bb053fb76b156996e830fa91a

Observation b5e70597-cd14-49d4-898c-32ce5cf0f5e0 · inbound

KG-HTC: Integrating Knowledge Graphs into LLMs for Effective Zero-shot Hierarchical Text Classification cites this paper.

KG-HTC: Integrating Knowledge Graphs into LLMs for Effective Zero-shot Hierarchical Text Classification Qwen2.5 Technical Report

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-22T15:36:44.930594Z

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=2026-05-22T15:35:23.427742Z digest=sha256:36f45dce04709c40717453c7b1ebc1cf2ba02e5bb26b125dabf32edbf5e72e7b

Observation 4a79c627-7562-4cf6-8414-0a901aaa0ed2 · inbound

Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free cites this paper.

Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free Qwen2.5 Technical Report

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-12T09:04:34.945837Z

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=2026-05-12T09:04:34.807225Z digest=sha256:f6cda58157d62ccec4007527ecdb30a27c7846fc604a7d8c38e64da972cf8bfa

Observation 0487606e-481b-460a-ae41-64267afc368d · inbound

DanceGRPO: Unleashing GRPO on Visual Generation cites this paper.

DanceGRPO: Unleashing GRPO on Visual Generation Qwen2.5 Technical Report

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-05-11T22:28:27.985335Z

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=2026-05-11T22:28:24.929046Z digest=sha256:923e65ff3bc7c6f695d16d216fbe88a1487aa0195bea06202b1d95f77851d9ae

Observation 8398f34a-3577-4dd7-88a5-063334765dca · inbound

Superposition Yields Robust Neural Scaling cites this paper.

Superposition Yields Robust Neural Scaling Qwen2.5 Technical Report

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:36:25.405436Z

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=2026-05-22T14:38:44.789822Z digest=sha256:3f9679415e545f3289bf33928f004682d4cc45cfccd420a9abdc822db4ba3a92

Observation ca419168-75ad-4ce4-9dfb-1590d139426e · inbound

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

Group-in-Group Policy Optimization for LLM Agent Training Qwen2.5 Technical Report

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-11T09:15:08.376534Z

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=sha256:6e3bb0ca4b0b45364b6a9e0ec6147224757c9bc6f84347dcb04422140140ebea

Observation c38ebc18-aba3-4421-ade2-edbcf4b9baa5 · inbound

TokenWeave: Efficient Compute-Communication Overlap for Distributed LLM Inference cites this paper.

TokenWeave: Efficient Compute-Communication Overlap for Distributed LLM Inference Qwen2.5 Technical Report

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T14:26:40.432158Z

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=2026-05-22T14:25:14.150581Z digest=sha256:32c838443300d8d3079763e9e4d235ac292a489d3b5b2219368af07a325ac293

Observation 2f10bb68-0b32-4725-af4e-fae7e1910918 · inbound

Extracting memorized pieces of (copyrighted) books from open-weight language models cites this paper.

Extracting memorized pieces of (copyrighted) books from open-weight language models Qwen2.5 Technical Report

Reference 217

Resolution
verified exact
local_arxiv, observed 2026-05-22T14:01:38.087589Z

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=2026-05-22T13:59:05.460455Z digest=sha256:59441a988134e98ff96c90484d18b433b410613081e68a8a4c749a54353dca7d

Observation 9fac9855-3ab7-4155-af32-f9bbc9d2269e · inbound

Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers cites this paper.

Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers Qwen2.5 Technical Report

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-22T15:14:57.452822Z

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=2026-05-22T15:13:28.927880Z digest=sha256:7faabf8353e0348df5246e37e215a2f544d50a8f9cbea365f2ad72eb1039085b

Observation 8e65791c-965f-4584-bd24-10a9b727534b · inbound

Language Model Networks: Supervision-Efficient Learning through Dense Communication cites this paper.

Language Model Networks: Supervision-Efficient Learning through Dense Communication Qwen2.5 Technical Report

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-05-22T14:51:41.896506Z

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=2026-05-22T14:50:45.735917Z digest=sha256:e168b49f109a0b70b3bf77e6f6197a7165198165f2b698ed748a8ab7cc57a9bf

Observation 6c888f22-1942-4e15-bdba-9a1591e57317 · inbound

InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion cites this paper.

InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion Qwen2.5 Technical Report

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-25T08:45:32.831042Z

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=2026-05-25T08:41:52.131759Z digest=sha256:dd28cd4a02432a1d71d9027b824f6b9ff9fc172e8f627d94728206a3af332b9f

Observation 081ffcdd-c075-49eb-8804-f6307fd05df8 · inbound

Through a Compressed Lens: Investigating The Impact of Quantization on Factual Knowledge Recall cites this paper.

Through a Compressed Lens: Investigating The Impact of Quantization on Factual Knowledge Recall Qwen2.5 Technical Report

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T14:14:55.556311Z

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=2026-05-22T14:14:26.197204Z digest=sha256:51904bdefb9c9d5880000bd35e17042be8642d29cd712d35dd50e71be67c9c89

Observation 252e9003-8b03-485b-82ef-c23f2a3b50f0 · inbound

DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning cites this paper.

DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning Qwen2.5 Technical Report

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-11T14:42:57.114362Z

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=2026-05-11T14:42:56.565621Z digest=sha256:6147bf5c6259f0ab7e894ee9071a0b1622a3d84c63fca943aec482ad910c7729

Observation 6b8f5cd9-082c-4aed-a887-12d597b0f191 · inbound

PRL: Prompts from Reinforcement Learning cites this paper.

PRL: Prompts from Reinforcement Learning Qwen2.5 Technical Report

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T14:26:40.383905Z

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=2026-05-22T14:25:22.002977Z digest=sha256:1f0d08bc75600c057736df625077a02fe521056fe8c8aa000032404d67a4d363

Observation 46e02893-b3c0-40cd-a595-6ffc51246cd4 · inbound

Can Large Language Models Really Recognize Your Name? cites this paper.

Can Large Language Models Really Recognize Your Name? Qwen2.5 Technical Report

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-05-22T14:01:38.541850Z

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=2026-05-22T13:57:23.152504Z digest=sha256:6d07499a66bb61caef174c9c0bf2d2d4ceffec9a3999c2280fe5d299076440ca

Observation a15ded35-c6f8-415a-91b7-da7f20773118 · inbound

Beyond Words: Multimodal LLM Knows When to Speak cites this paper.

Beyond Words: Multimodal LLM Knows When to Speak Qwen2.5 Technical Report

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.009623Z

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=2026-05-22T13:31:26.532921Z digest=sha256:00de28ca0f3066b5fb671dd6a92d492663a7fcb11c10b8ebcb0339f717f1cc11

Observation 48256dcb-2cf3-4a3a-bbea-b7bba0a44a88 · inbound

Emerging Properties in Unified Multimodal Pretraining cites this paper.

Emerging Properties in Unified Multimodal Pretraining Qwen2.5 Technical Report

Reference 94

Resolution
verified exact
local_arxiv, observed 2026-05-10T16:23:42.086778Z

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=2026-05-10T16:23:41.854132Z digest=sha256:a5548ae3951823febbc7b8dad7b13f2cd1049a5745235c2ea20848a98b64c9d9

Observation cb125eae-db4c-44b3-8823-c44f70e601e1 · 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 Qwen2.5 Technical Report

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-05-17T05:35:13.228214Z

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:c0af369ab8bd3d72c95c86443583f2a1badf536ee83b95d6094563fc9f2f2fb9

Observation 6074d927-0032-435b-b456-b504044db977 · inbound

GRIT: Teaching MLLMs to Think with Images cites this paper.

GRIT: Teaching MLLMs to Think with Images Qwen2.5 Technical Report

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.045116Z

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=2026-05-22T13:29:47.529564Z digest=sha256:6418774a5e3f13810a91381be57ff277be392b927e457d93512ebd054bf6ca6f

Observation 0e2337c5-616e-4abc-84ab-2ff4d2b35955 · inbound

VERDI: VLM-Embedded Reasoning for Autonomous Driving cites this paper.

VERDI: VLM-Embedded Reasoning for Autonomous Driving Qwen2.5 Technical Report

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.290239Z

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=2026-05-22T13:28:20.004895Z digest=sha256:c2a4a4446c87f248b1e7522df433bd4b44764b054750346e023f531408c53367

Observation bb8fb60c-97db-41ab-96a6-97082be11ef3 · inbound

Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs cites this paper.

Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs Qwen2.5 Technical Report

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.577564Z

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=2026-05-22T13:26:47.663124Z digest=sha256:115d945daace49e511436ddcf4b825f47bf9ca84425950bcf66ac93770730cad

Observation 9ea18293-1c8d-4055-b5df-92e8a040a93b · inbound

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning cites this paper.

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Qwen2.5 Technical Report

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-17T03:46:06.417644Z

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=2026-05-17T03:46:06.074416Z digest=sha256:45cab7cced2f7ee61b9b5c5e83e3303c59cf48f68ad7ff6609434b1c6870e24e

Observation 1aa5d6c4-bc6d-44d5-8784-e818e25b917a · inbound

MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation cites this paper.

MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation Qwen2.5 Technical Report

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:41:36.666945Z

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=2026-05-22T13:37:49.475416Z digest=sha256:33a1030658f686d0597f8f09e517bc5e6eeb5065521087e339d9372e81f23804

Observation 8b33769a-ddc5-4837-95d9-cc36a78921c1 · inbound

CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training cites this paper.

CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training Qwen2.5 Technical Report

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-16T05:27:25.585455Z

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=2026-05-16T05:27:25.425188Z digest=sha256:a3d43b8a8f3c4b3ffd52a7d9c8d69adaf5b2d25d4cf1243e351b54c38c4fac39

Observation 11318a21-3771-4fab-8e1c-e593a6eb8873 · inbound

Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM cites this paper.

Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM Qwen2.5 Technical Report

Reference 77

Resolution
verified exact
local_arxiv, observed 2026-05-22T02:10:56.117953Z

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=2026-05-22T02:06:35.204166Z digest=sha256:95fbc4822d4186356ae65dedcf6739c95ee068c988d0e5b7e5c30c35aea173ec

Observation 4e11f906-e6ad-400f-ba18-078970dff357 · inbound

VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning cites this paper.

VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning Qwen2.5 Technical Report

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-05-16T12:55:40.362546Z

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=2026-05-16T12:55:40.245908Z digest=sha256:e32f768dfd006c6c31cce4bebf7bcc1ad570e2d791c9642628d3e5e401520f02

Observation f55dfc8e-a788-4e6a-a5da-968495c6c492 · inbound

Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs cites this paper.

Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs Qwen2.5 Technical Report

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-22T01:20:52.139872Z

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=2026-05-22T01:16:51.288077Z digest=sha256:5fcda6616c3edf030ea8f9d5cff0c36c37b899d1ab426244aac8b6f988713514

Observation 04d90edc-242c-4953-9232-3777e685cbd1 · inbound

Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning cites this paper.

Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning Qwen2.5 Technical Report

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-05-19T13:22:19.232123Z

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=2026-05-19T13:19:20.215467Z digest=sha256:49a2ae3be38d7c79b994e2666394a843f16cbd7d2047bfcede2360f3dc4d6189

Observation 333b5cba-a909-47bf-9667-d1f4a618845d · inbound

CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward cites this paper.

CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward Qwen2.5 Technical Report

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-19T14:12:22.564722Z

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=2026-05-19T14:11:40.021561Z digest=sha256:e22681c9f7c27855f5fd6d867ae2db074c4de8c82245a3c4c1d00e32a730f5d2

Observation 06b9a79d-5621-4089-a41c-28810b18ca86 · inbound

Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective cites this paper.

Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective Qwen2.5 Technical Report

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T13:53:05.640551Z

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=2026-05-19T13:52:44.096262Z digest=sha256:1a01826b45d0ca7fd0590cb21ff0083af85f0adf5eaedd01bc17148e700b06f3

Observation d94c64b5-0eff-44d4-a17e-a1a393d1864a · inbound

Adapting Foundation Vision-Language Models to Medical Diagnosis via Query-Driven Expert Bridging cites this paper.

Adapting Foundation Vision-Language Models to Medical Diagnosis via Query-Driven Expert Bridging Qwen2.5 Technical Report

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-22T01:45:54.982062Z

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=2026-05-22T01:45:06.110568Z digest=sha256:596ee140838305342f84ce34a7edd7c0ffb8ec5f76fcb9786651c1a766fd62ec

Observation bd1cc0d9-cf9b-4d8f-97c1-6bc8ab810258 · inbound

Skywork Open Reasoner 1 Technical Report cites this paper.

Skywork Open Reasoner 1 Technical Report Qwen2.5 Technical Report

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-05-17T04:26:47.363960Z

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=sha256:8cfa9e6368bdfe784842c58ff1b26795df90810476658c0b92d71b63f526142a

Observation 5b5bead0-03ea-4044-9601-f5f4ae4c4db7 · inbound

Reason-SVG: Enhancing Structured Reasoning for Vector Graphics Generation with Reinforcement Learning cites this paper.

Reason-SVG: Enhancing Structured Reasoning for Vector Graphics Generation with Reinforcement Learning Qwen2.5 Technical Report

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-05-19T13:02:18.192033Z

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=2026-05-19T13:00:27.232079Z digest=sha256:ce95a310f2547171e85661aae1412bf893ed2d7d027503124027c08ddb6e0776

Observation 22c6ac36-ede1-4617-89fb-33fac1b2c63d · inbound

Disentangled Safety Adapters Enable Efficient Guardrails and Flexible Inference-Time Alignment cites this paper.

Disentangled Safety Adapters Enable Efficient Guardrails and Flexible Inference-Time Alignment Qwen2.5 Technical Report

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-19T11:53:03.591690Z

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=2026-05-19T11:52:36.688263Z digest=sha256:95fd625d76d4c968dfdb724456f553c4534743163d8d54b0401d384377c83ab5

Observation b61f3449-83a2-4bcc-afeb-62423be5b88d · 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 Qwen2.5 Technical Report

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-22T02:24:31.008064Z

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=2026-05-22T02:21:32.991341Z digest=sha256:6da040d502e0d5c211974cf1f71d744b941224e7956a323fd813876a1ecfab1d

Observation e7830636-5ee6-4c44-b7b8-0c2d7f683607 · inbound

TSGuard: Automated User-Centric Incident Diagnosis for AI Workloads in the Cloud cites this paper.

TSGuard: Automated User-Centric Incident Diagnosis for AI Workloads in the Cloud Qwen2.5 Technical Report

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-05-19T11:57:16.343931Z

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=2026-05-19T11:56:13.633039Z digest=sha256:9190d5bbe1a3a83392daaac1082493c54dfd8668580a0e9bcc04f99bbf755275

Observation a4c23310-f152-4746-ba84-705057857aef · inbound

To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems cites this paper.

To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Qwen2.5 Technical Report

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-05-19T11:32:17.414755Z

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=2026-05-19T11:30:47.877793Z digest=sha256:7cd304966ae54af5c9590e6d0cb013561b4463614775cff9f187cf9897744ac1

Observation be771c8c-aed5-4680-a4db-49327325439f · inbound

How Far Are We from Generating Missing Modalities with Foundation Models? cites this paper.

How Far Are We from Generating Missing Modalities with Foundation Models? Qwen2.5 Technical Report

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-05-25T08:15:33.496917Z

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=2026-05-25T08:15:12.947854Z digest=sha256:018af1f384ec8b73e727584b2bf9f66127ed1caa0c17d31058dd1f652ef6344c

Observation 1283aac7-61eb-4ae7-8b22-0f9acbbc94cb · inbound

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games cites this paper.

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games Qwen2.5 Technical Report

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-05-19T12:02:16.640220Z

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=2026-05-19T12:01:42.681135Z digest=sha256:3f3acda97c4b7e6f264d8c1d0287af953257247457d4a5bb226865164507dee6

Observation d489ebb2-b9c9-46b8-a3a2-e8d9f4310402 · inbound

SIV-Bench: A Video Benchmark for Social Interaction Understanding and Reasoning cites this paper.

SIV-Bench: A Video Benchmark for Social Interaction Understanding and Reasoning Qwen2.5 Technical Report

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-05-19T11:37:15.756927Z

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=2026-05-19T11:36:36.687324Z digest=sha256:64b6cfe4ca4976b9acdf7751f0c27a3dcca94dc7bda6079b24443436eaf97e07

Observation c3af312a-59ef-458d-9f60-f1f943bf23e0 · inbound

Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models cites this paper.

Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models Qwen2.5 Technical Report

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:46.097840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:46.097840Z digest=sha256:589931f41547ab9d48c53345d82bad9ffbbc07ccdda522fc4d3189c716fd6fec

Observation 7b061ecb-50e8-4176-8dac-1fcf71db212a · inbound

No Data? No Problem: Synthesizing Security Graphs for Better Intrusion Detection cites this paper.

No Data? No Problem: Synthesizing Security Graphs for Better Intrusion Detection Qwen2.5 Technical Report

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-05-19T10:42:15.255335Z

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=2026-05-19T10:38:03.311357Z digest=sha256:94ee3ae25bde8f17a6a4104b9b4059c9c11a4a24a38a8b0899caebfabd02c641

Observation 81dbe85a-d534-49b4-9131-58983368cd66 · inbound

Cartridges: Lightweight and general-purpose long context representations via self-study cites this paper.

Cartridges: Lightweight and general-purpose long context representations via self-study Qwen2.5 Technical Report

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-07T06:04:35.147916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:04:35.147916Z digest=sha256:3e7095d20a824745602270128f611314d62045b938dbfc67394ad99fd022b05a

Observation 791c40d2-f819-43d5-be70-c59f5109e4cd · inbound

Benchmarking Misuse Mitigation Against Covert Adversaries cites this paper.

Benchmarking Misuse Mitigation Against Covert Adversaries Qwen2.5 Technical Report

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-19T10:32:14.653090Z

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=2026-05-19T10:29:05.104520Z digest=sha256:6040bc6b90029da0e5bbc6b99e79ea55b5070f6f4c930154f04d9764025a3393

Observation f2a9598e-a5eb-4c34-ae0d-30251d72e3e0 · inbound

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit cites this paper.

Training-Free Tokenizer Transplantation via Orthogonal Matching Pursuit Qwen2.5 Technical Report

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T05:58:14.966911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:14.966911Z digest=sha256:e1c65bec87d98ce648633b03b6e12a4fb56cbfa3fdac5ee85efc066a6a9a8497

Observation e159cef6-f99d-4f9e-a2f7-672c9ff7c508 · inbound

Dynamic and Parametric Retrieval-Augmented Generation cites this paper.

Dynamic and Parametric Retrieval-Augmented Generation Qwen2.5 Technical Report

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T05:54:56.371221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:54:56.371221Z digest=sha256:2c0da736c4571d84b840b85ae07fead3816183fd02023f8679ffd0fb666f2e8e

Observation 20c5058f-68d7-4b13-bddb-49f9016cad30 · inbound

DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains cites this paper.

DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains Qwen2.5 Technical Report

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T05:57:35.183201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:57:35.183201Z digest=sha256:98138bb2d55a03b93435ebd79954b714037d69c3f72295c4400439e2c886568d

Observation 7a9771a0-0742-4fcc-93a0-1bf5df01b862 · inbound

Mitigating Object Hallucination via Robust Local Perception Search cites this paper.

Mitigating Object Hallucination via Robust Local Perception Search Qwen2.5 Technical Report

Reference 37

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no resolver link, observed 2026-08-07T05:54:03.336697Z

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source=arxiv_source observed=2026-08-07T05:54:03.336697Z digest=sha256:f8bc1376267d206dbbe09d1c3ea429b8eca2fee8b0330cc74df9d25f680aa8d3

Observation 906c9f3d-d0ee-45ba-9eba-66a8b7f48014 · inbound

Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models cites this paper.

Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models Qwen2.5 Technical Report

Reference 20

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unresolved
no resolver link, observed 2026-08-07T05:54:03.623160Z

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source=arxiv_source observed=2026-08-07T05:54:03.623160Z digest=sha256:45a581c06216a55b90f749350e9718066111a68f02a8c034d6f9bb43c999dea2

Observation 7400f7d7-ac2e-4166-a494-4d8c2d96c2cc · inbound

On the Adaptive Psychological Persuasion of Large Language Models cites this paper.

On the Adaptive Psychological Persuasion of Large Language Models Qwen2.5 Technical Report

Reference 43

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no resolver link, observed 2026-08-07T05:54:28.808669Z

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source=pdf_text observed=2026-08-07T05:54:28.808669Z digest=sha256:4b4f4681dec71ccbe73b0e17c5413fa9b1db51b7d5718adbb671ffcbb2b5159e

Observation 36a1b9f0-2a8d-4e80-a990-cdc27c6ebd05 · inbound

Not quite Sherlock Holmes: Language model predictions do not reliably differentiate impossible from improbable events cites this paper.

Not quite Sherlock Holmes: Language model predictions do not reliably differentiate impossible from improbable events Qwen2.5 Technical Report

Reference 66

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no resolver link, observed 2026-08-07T05:52:35.034556Z

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source=arxiv_source observed=2026-08-07T05:52:35.034556Z digest=sha256:3fa9b5c08f7e5d04c4948243d74b6ebddb02df1e23fc5c77fca02589b61b4eb5

Observation 8b925614-1af6-440a-bdaa-929fddd2db22 · inbound

Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models cites this paper.

Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models Qwen2.5 Technical Report

Reference 42

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no resolver link, observed 2026-08-07T05:55:56.626049Z

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source=arxiv_source observed=2026-08-07T05:55:56.626049Z digest=sha256:4e8c4933e882a6ff687a5b6bb38a27c3f74f33d1c3bc40346e1ac3c1d512997b