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Paper Citation Record · LEDGER

Qwen2.5-Coder Technical Report

As of 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 100 inbound Pith citation observations for arXiv:2409.12186.

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

pith.paper-citation-record.v1
2409.12186 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T12:33:38.867604Z

measured 142 of 142 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 574 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:04:15.092220Z

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

42 of 42 outbound references displayed

  • verified exact28
  • verified fuzzy6
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch7

External citation measurements

38
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation e357090c-17bf-44b4-9cb5-054701dd2834 · outbound

This paper cites GPT-4 Technical Report.

Qwen2.5-Coder Technical Report GPT-4 Technical Report

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-10T12:33:39.023773Z

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=2026-05-10T12:33:38.867604Z digest=sha256:bb8d5f02af7fdcfec3eabd07025768e99c22095258ba70b37a2b6b4afdf7f961

Observation b7dabe4d-4ea5-4ee4-9ca4-3ef1844f339f · outbound

This paper cites SantaCoder: don't reach for the stars!.

Qwen2.5-Coder Technical Report SantaCoder: don't reach for the stars!

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:33:38.983452Z

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=2026-05-10T12:33:38.867604Z digest=sha256:188fe3d31e4280c666543d10b71f434ecd071db30651f078d0d8b1bdf7693802

Observation d96d5b33-fe32-4266-ae09-1eebc2d914d7 · outbound

This paper cites Program Synthesis with Large Language Models.

Qwen2.5-Coder Technical Report Program Synthesis with Large Language Models

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-05-10T12:33:38.908222Z

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=2026-05-10T12:33:38.867604Z digest=sha256:8384eb539ce3b98c998c8cc7731afd41412686662df05a21e77d2cb31048ef32

Observation 1c5a3f04-3968-4ec8-a2a0-08fd1572c5a2 · outbound

This paper cites Qwen Technical Report.

Qwen2.5-Coder Technical Report Qwen Technical Report

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-10T12:33:38.914041Z

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=2026-05-10T12:33:38.867604Z digest=sha256:af8b935b98885c91ba54c4ea5e7b0a2542fbae1fd7b0339b99a00cb2075db2f7

Observation 8087f3a8-ad54-4153-9b16-3876d9fce3d2 · outbound

This paper cites Efficient Training of Language Models to Fill in the Middle.

Qwen2.5-Coder Technical Report Efficient Training of Language Models to Fill in the Middle

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:40:42.183417Z

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=2026-05-10T12:33:38.867604Z digest=sha256:8a7344cb0d062b5e1e6f61597f00736e3f3b02a78c1494e5e9615613cd1d622b

Observation e0c9558a-ca7f-41cc-95d3-b47eddcae71b · outbound

This paper cites Language Models are Few-Shot Learners.

Qwen2.5-Coder Technical Report Language Models are Few-Shot Learners

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-10T12:33:38.926298Z

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=2026-05-10T12:33:38.867604Z digest=sha256:10dd023ed8584b6ca17eb4c82320537e45c3952206744fade6eb8086fd775355

Observation af0a18d4-c815-421d-8eb1-a7d96af12ea7 · outbound

This paper cites MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation.

Qwen2.5-Coder Technical Report MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:33:38.933028Z

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=2026-05-10T12:33:38.867604Z digest=sha256:537084708708b4e3cde8f3098b5f825593cb2f3c92c8001d535fd8269796297a

Observation 0b3de5f2-d481-4929-adfb-e9eb302366b8 · outbound

This paper cites McEval: Massively Multilingual Code Evaluation.

Qwen2.5-Coder Technical Report McEval: Massively Multilingual Code Evaluation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:33:38.938458Z

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=2026-05-10T12:33:38.867604Z digest=sha256:defead97ac8587c73e079c6f8de5f9fa182a4cb625fb8e1d2f5673ad78a81582

Observation 47f4019a-f0d5-4698-b699-335ae5970929 · outbound

This paper cites How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings.

Qwen2.5-Coder Technical Report How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:33:38.944578Z

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=2026-05-10T12:33:38.867604Z digest=sha256:fb8193add124fed3493b9749bedde218a188c54b24d856c8fd13899967ad72f2

Observation b067477b-2167-47cb-8eb7-049af6a80654 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

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

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-10T12:33:38.950459Z

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=2026-05-10T12:33:38.867604Z digest=sha256:e6eb7112d98142cbda90fcba968652e793eae245816170b6c2d5779eac30ddd3

Observation dd8a027e-ae77-4b09-b40c-547e0fdee970 · outbound

This paper cites Theoremqa: A theorem-driven question answering dataset.

Qwen2.5-Coder Technical Report Theoremqa: A theorem-driven question answering dataset

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:33:39.104850Z

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=2026-05-10T12:33:38.867604Z digest=sha256:9384f2957ea9d578b3905dd3c6c1abc437abbfdcb37b6a5c54f32deddce5e857

Observation 94c915b5-1495-4b1f-84e9-3f91c581087c · outbound

This paper cites Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

Qwen2.5-Coder Technical Report Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:13:25.541930Z

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=2026-05-10T12:33:38.867604Z digest=sha256:32461a6ab90ef6c4c49fa24184588ad2e582e914aaa594bd51b1e727315c69f2

Observation 4637a991-549a-4fe2-ba01-b05520d9a6f0 · outbound

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

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

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-10T12:33:38.961589Z

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=2026-05-10T12:33:38.867604Z digest=sha256:c2a41af47895921d402659ebd2624ebc5740fd265bc7267292a42854099e134c

Observation 266ed3cc-47b7-4e8b-965a-66a86b6ff60d · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

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

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-10T12:33:38.966849Z

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=2026-05-10T12:33:38.867604Z digest=sha256:0a767256448c84d9cd48cfa0e769f249e76e015d7aeb66c1949eb51e1de59907

Observation 4831811b-16bc-4738-b46c-95d4bcce19d4 · outbound

This paper cites The Llama 3 Herd of Models.

Qwen2.5-Coder Technical Report The Llama 3 Herd of Models

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-10T12:33:38.971433Z

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=2026-05-10T12:33:38.867604Z digest=sha256:e0e04f35815bb8374335b991fa15c3b2f0df2d2ea65ff0afd8b34f3740fffe8f

Observation bf4a7bd5-3b76-4969-b588-f0ed193307e5 · outbound

This paper cites Codebert: A pre-trained model for programming and natural languages.

Qwen2.5-Coder Technical Report Codebert: A pre-trained model for programming and natural languages

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:33:39.096270Z

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=2026-05-10T12:33:38.867604Z digest=sha256:b2638815fcd78e2dc6647d9f7237159428713336e651c772b0578dbb61be31b2

Observation b03a4a06-1f9b-4801-a6b2-8739ba4a4202 · outbound

This paper cites findings-acl.262/.

Qwen2.5-Coder Technical Report findings-acl.262/

Reference 17

Resolution
metadata mismatch
doi, observed 2026-05-10T12:33:38.902677Z

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=2026-05-10T12:33:38.867604Z digest=sha256:84f5575c42b608fad59f804d9df7ee7c4074418b5a67767c45981e1e34a36e24

Observation 3ed3c460-c577-4ef5-a95f-e11167da551f · outbound

This paper cites Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks.

Qwen2.5-Coder Technical Report Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:33:39.029714Z

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=2026-05-10T12:33:38.867604Z digest=sha256:d8890feb043b819c5ebf6a27832119885b6789787c9571c4f4bf88086a8a2f55

Observation f85c9722-fc5d-4d5c-9bbe-8ddedeada923 · outbound

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

Qwen2.5-Coder Technical Report CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

Reference 19

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=2026-05-10T12:33:38.867604Z digest=sha256:a42bc43c394110e333667aed4e2a4dc8c4516522585241c2e6f80047ff3ce3ca

Observation 8796335e-2e4d-4770-a040-3662b43332af · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Qwen2.5-Coder Technical Report DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:26:38.922527Z

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=2026-05-10T12:33:38.867604Z digest=sha256:fe3176e5c4be8a7a62160971cf8ca846904e3cc7fc90fbbcb1a01a7862e1eeff

Observation 325f4a5e-98a7-456e-b635-9822c2d8d632 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Qwen2.5-Coder Technical Report Measuring Mathematical Problem Solving With the MATH Dataset

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:00:39.484061Z

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=2026-05-10T12:33:38.867604Z digest=sha256:872fe928958d7e759d4413e94bfc52fa76ed3420dea15c0225bc7817672ac595

Observation 054c3ae9-57fe-42ba-b688-1c5655e4c21a · outbound

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

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

Reference 22

Resolution
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=2026-05-10T12:33:38.867604Z digest=sha256:aeaad9ed571c8c672ccfcf9496d445e0835b866d0d1cf32fe9adc9c213983e9e

Observation 7f7465a7-152c-4eb9-9fe0-3b2bf78c5ec6 · outbound

This paper cites Mistral 7B.

Qwen2.5-Coder Technical Report Mistral 7B

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-10T12:33:39.057736Z

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=2026-05-10T12:33:38.867604Z digest=sha256:5805225ab492e25252765941f33981dbbca6cf0ee7716ef61194c3a18d0e1d42

Observation edb0e38d-9967-4db4-82d0-a24ff35cdd64 · outbound

This paper cites StarCoder: may the source be with you!.

Qwen2.5-Coder Technical Report StarCoder: may the source be with you!

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:33:01.814344Z

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=2026-05-10T12:33:38.867604Z digest=sha256:6e3379107a0a3f8b6f1d29ec32c2c2aa8e42c79fde4465c6296f5d78a14c6766

Observation 6e6963ea-3b6d-40a8-8432-5d5d3e7f93a9 · outbound

This paper cites AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions.

Qwen2.5-Coder Technical Report AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T12:33:39.068779Z

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=2026-05-10T12:33:38.867604Z digest=sha256:a08b3d3efc3c180fc28becb394992a39864599fbe41ea6c4303bee3fd44f6b14

Observation 5fe18b1e-3073-477a-8445-bed961b108df · outbound

This paper cites Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation.

Qwen2.5-Coder Technical Report Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:33:39.110799Z

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=2026-05-10T12:33:38.867604Z digest=sha256:9713efbf223b33cf2aeed14a6689023bfa6041b21158acd02a8aee1b2229296a

Observation 9a69bc87-616f-4192-b5d9-502a5da45394 · outbound

This paper cites M2rc-Eval: Massively Multilingual Repository-level Code Completion Evaluation.

Qwen2.5-Coder Technical Report M2rc-Eval: Massively Multilingual Repository-level Code Completion Evaluation

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:33:39.073937Z

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=2026-05-10T12:33:38.867604Z digest=sha256:4b3cc471bb56e93efb7a524eec58b172f8e278d7d89c0d1b7b36b1ff1f7c4b30

Observation 09d5ca5c-b71c-4b78-98f1-081fc21266d1 · outbound

This paper cites ReACC: A Retrieval-Augmented Code Completion Framework.

Qwen2.5-Coder Technical Report ReACC: A Retrieval-Augmented Code Completion Framework

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:33:39.079653Z

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=2026-05-10T12:33:38.867604Z digest=sha256:5a8c204877986ce2fa4e0a39210ba7f67d23392f192b89cc602be7a6f8dfd647

Observation 2db17a4f-887c-4a25-b2b8-f0d89018821e · outbound

This paper cites an unresolved cited work.

Qwen2.5-Coder Technical Report Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-05-10T12:33:39.123333Z

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=2026-05-10T12:33:38.867604Z digest=sha256:228b5d5a0435b1b61c2f10d8b301a9e2fd66c2af69c9fc7b71567ccf2519ca23

Observation aa778150-d196-455a-bbcc-3018ce7727d0 · outbound

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

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

Reference 30

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=2026-05-10T12:33:38.867604Z digest=sha256:a29434790904c3a256f99065dc896e5794c6891311eab036d796c5d1462f214a

Observation e2f6f329-b5e0-472c-bdd9-a044979c981a · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Qwen2.5-Coder Technical Report Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T02:33:28.482709Z

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=2026-05-10T12:33:38.867604Z digest=sha256:027423c8f7da99d93a934df831ae6c54127a86860015144882d012a3e88b2fe2

Observation 55d44e94-fe4a-492f-b6e5-b3df27603bde · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Qwen2.5-Coder Technical Report Code Llama: Open Foundation Models for Code

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-10T15:08:33.079720Z

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=2026-05-10T12:33:38.867604Z digest=sha256:59b3ac815c8b1c813410cfaba6d45552435dd1e66c1c1443705851616eda4c3b

Observation 32c7c0bf-4162-49fd-9c10-038fcc82e342 · outbound

This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.

Qwen2.5-Coder Technical Report WinoGrande: An Adversarial Winograd Schema Challenge at Scale

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:20:15.117976Z

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=2026-05-10T12:33:38.867604Z digest=sha256:11e42f35d70174962b89e879ef9c45a3725bb8fec427280e8b1f8040b5511471

Observation 9c79170c-b9dd-4ffa-96d6-b24597d8dff1 · outbound

This paper cites Unicoder: Scaling code large language model via universal code.

Qwen2.5-Coder Technical Report Unicoder: Scaling code large language model via universal code

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:33:39.100397Z

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=2026-05-10T12:33:38.867604Z digest=sha256:4090425765cca406d82d58a35e1b81f083314adec7c9a7d962b6415af325733a

Observation b5ee7255-a606-4de8-9411-efad2c2800d3 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Qwen2.5-Coder Technical Report Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 35

Resolution
metadata mismatch
local_arxiv, observed 2026-05-10T12:33:38.999604Z

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=2026-05-10T12:33:38.867604Z digest=sha256:0260a6391944b8e62a11ebf3b2d3c3bd74735d64e13ef7acd010bdf1143213c6

Observation 3c7b9add-71d3-4f72-8b50-76a996c6f0dd · outbound

This paper cites Magicoder: Em- powering code generation with oss-instruct.

Qwen2.5-Coder Technical Report Magicoder: Em- powering code generation with oss-instruct

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:33:39.115009Z

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=2026-05-10T12:33:38.867604Z digest=sha256:e94ecacd52390492dfc7057532b513e64357cf5e886c55f72f5619618a41c3b0

Observation 1b7958be-ab43-4e1c-a55f-01a32b4b13e8 · outbound

This paper cites Repoformer: Selective Retrieval for Repository-Level Code Completion.

Qwen2.5-Coder Technical Report Repoformer: Selective Retrieval for Repository-Level Code Completion

Reference 37

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verified exact
arxiv_id, observed 2026-05-10T12:33:39.004954Z

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=2026-05-10T12:33:38.867604Z digest=sha256:3c6a6a84e460a638c58710024781ea742d02b4ba5d378ef214b96d1dc2f879b8

Observation 7b9774b1-f15d-4249-85a1-9cffee668bce · outbound

This paper cites Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.

Qwen2.5-Coder Technical Report Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 38

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verified exact
arxiv_id, observed 2026-05-10T12:33:39.011959Z

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=2026-05-10T12:33:38.867604Z digest=sha256:f882ba1e17ddd1f1d970d3fbfa10bdd4a4a0a6d59a10647b8cd9e3deaac87734

Observation 14f044dd-11c5-44f3-b12a-f9ef838cf10f · outbound

This paper cites Wavecoder: Widespread and versatile enhancement for code large language models by instruction tuning.

Qwen2.5-Coder Technical Report Wavecoder: Widespread and versatile enhancement for code large language models by instruction tuning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:33:39.119514Z

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=2026-05-10T12:33:38.867604Z digest=sha256:e877496d67eb0149ede639df79591c8aa5d72e43f43bd55fc61243483a134ce9

Observation f000c34d-55fc-49df-b63b-87d2c1ff665a · outbound

This paper cites Knowledge-Centric Hallucination Detection.

Qwen2.5-Coder Technical Report Knowledge-Centric Hallucination Detection

Reference 40

Resolution
verified exact
doi, observed 2026-05-10T12:33:38.897775Z

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=2026-05-10T12:33:38.867604Z digest=sha256:ef2e28b804366ee3e87edc5a95f3f9abafccca978afafbdbc494447516b62258

Observation b108e8ae-8657-4cf9-aabf-8281553c2036 · outbound

This paper cites RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation.

Qwen2.5-Coder Technical Report RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:33:39.018215Z

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=2026-05-10T12:33:38.867604Z digest=sha256:b93638bb0b4fc67c1db428dae94a9d282dc977e92655406d1b57e36e035db76a

Observation 308fd86a-711d-4d01-9e00-dbb79c8c9744 · outbound

This paper cites BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

Qwen2.5-Coder Technical Report BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Reference 42

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verified exact
arxiv_id, observed 2026-05-14T19:30:10.582609Z

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=2026-05-10T12:33:38.867604Z digest=sha256:54e400dbb3a275b65637b1bbd9825e4bcf856f7f7cf25de416c42e598d5a6f84

Pith citing papers

Observation 85e31465-4106-4dce-8310-1c9a49e55d82 · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation Qwen2.5-Coder Technical Report

Reference 111

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verified exact
local_arxiv, observed 2026-05-13T20:18:06.575921Z

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=2026-05-13T20:18:06.304134Z digest=sha256:1faa5c06ba4df09cc02d74aebafa891d805b7ee3fb636c41db2796fb610be463

Observation 02d4b553-6a98-4c4a-9895-575d3465edef · inbound

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

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Qwen2.5-Coder Technical Report

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-05-15T09:09:15.011138Z

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=2026-05-15T09:09:14.884516Z digest=sha256:72e5b22dfbf9017fe1aa0d0ca5a885b727e9a4635b6ebfec9be076a4599cacca

Observation be538f0a-8cd0-4b53-8d06-122fca5d2606 · inbound

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? cites this paper.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Qwen2.5-Coder Technical Report

Reference 67

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verified exact
local_arxiv, observed 2026-05-23T18:43:19.280276Z

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=2026-05-23T18:39:21.915976Z digest=sha256:086edcdfabbeaa1658e4c7a27577422f7ec1f733ed51b5abef78f351b2e507b6

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

Qwen2.5 Technical Report cites this paper.

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

Reference 22

Resolution
verified exact
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 97008711-ca9e-4fff-890c-2c8a01e9403a · inbound

Training Software Engineering Agents and Verifiers with SWE-Gym cites this paper.

Training Software Engineering Agents and Verifiers with SWE-Gym Qwen2.5-Coder Technical Report

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T05:20:40.521374Z

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=2026-05-18T05:20:40.483057Z digest=sha256:95c2cf06730c495015daae274e821b2e2b2797147130839c2c2b913915f48b5c

Observation 17d66d16-ba00-4df2-b48f-3af0e4a1355b · inbound

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

Search-o1: Agentic Search-Enhanced Large Reasoning Models Qwen2.5-Coder Technical Report

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-13T17:36:27.700429Z

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=2026-05-13T17:36:27.515468Z digest=sha256:e2563d4ae758f86d41a101fa33e5fffe4c009f073b1aa8f6b2da74d754746cd5

Observation 4d8f280d-863c-463c-9ea1-44d650c4d19d · inbound

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

Qwen2.5-1M Technical Report Qwen2.5-Coder Technical Report

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-15T05:26:00.086283Z

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=2026-05-15T05:25:59.964619Z digest=sha256:b41aad2a96546f25d574494b5cbf284bdd0c8509da679f5721fa616522f3a8ac

Observation 3dc95b82-2e5a-4641-8624-6668bb49e856 · inbound

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

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Qwen2.5-Coder Technical Report

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-05-23T04:32:32.927367Z

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=2026-05-23T04:30:38.804702Z digest=sha256:399fbd959fcea1fae750ddaa636da4fb0bf6a79717b085ef34289c0d271bbe7b

Observation c6c68c46-d280-4487-a083-803d541290d8 · 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-Coder Technical Report

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-15T10:27:56.432105Z

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=sha256:9cc29eecde025619ac0110fc228eb9f80e7cf419937af0b2ae915f3e7f1842f7

Observation 7310e132-2f8b-49d3-aa83-e881220a1ba2 · inbound

Visual-RFT: Visual Reinforcement Fine-Tuning cites this paper.

Visual-RFT: Visual Reinforcement Fine-Tuning Qwen2.5-Coder Technical Report

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-13T22:16:16.560338Z

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=2026-05-13T22:16:16.528682Z digest=sha256:5141c6d46bc6acdaf5fd891d7df54f395983b8138baef188a25b0990ee7221b4

Observation df0b3754-20fb-489f-9b5f-3a109aa88515 · inbound

Why Do Multi-Agent LLM Systems Fail? cites this paper.

Why Do Multi-Agent LLM Systems Fail? Qwen2.5-Coder Technical Report

Reference 85

Resolution
verified exact
local_arxiv, observed 2026-05-12T05:42:58.754585Z

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=2026-05-12T05:42:57.561468Z digest=sha256:fe3866c88c31ac4505f9bd286839962bd5fee6533fea6723a71dbef98641a1ea

Observation 327b5842-b304-4834-bb8c-b42bd5cc7973 · inbound

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

XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants Qwen2.5-Coder Technical Report

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-22T23:57:17.068293Z

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=2026-05-22T23:55:14.887237Z digest=sha256:a11ce06da1009566569e38b638c4d4e2906df9aa1c6ac2e71bc89f09cbaba381

Observation b091c67d-cd8a-4b24-8f5e-76322f58f072 · inbound

A Study of LLMs' Preferences for Libraries and Programming Languages cites this paper.

A Study of LLMs' Preferences for Libraries and Programming Languages Qwen2.5-Coder Technical Report

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-22T22:55:12.400008Z

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=2026-05-22T22:53:16.951417Z digest=sha256:b06c32a37c41b5c06bdd8c65f43cad86c49d9544023b37a53677f76e23f20280

Observation 496de45c-8ce7-4976-8186-20c61f7c1b8f · inbound

OpenCodeReasoning: Advancing Data Distillation for Competitive Coding cites this paper.

OpenCodeReasoning: Advancing Data Distillation for Competitive Coding Qwen2.5-Coder Technical Report

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T19:21:42.131598Z

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=2026-05-17T19:21:42.081762Z digest=sha256:4378038814bfb98be258c5956f86b50d8a730887e9bcb5515662c0f078718c81

Observation b0f3a774-e916-4427-b2e4-41e04fcaec96 · inbound

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

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

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-16T19:14:25.412432Z

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=sha256:0973fe8d9c76ba0683dcaf175c667e386262e4863b1679b25e51324eb1ad6803

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

Qwen3 Technical Report cites this paper.

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 4fb28194-5ec7-4aa9-83c8-72946702ce70 · inbound

Model Internal Sleuthing: Finding Lexical Identity and Inflectional Features in Modern Language Models cites this paper.

Model Internal Sleuthing: Finding Lexical Identity and Inflectional Features in Modern Language Models Qwen2.5-Coder Technical Report

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-19T11:02:15.602415Z

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=2026-05-19T10:57:18.105586Z digest=sha256:88ceeafd11cb8c48587bcfa659c46ccc2cb5837c37483f423ebc225fcc06a6a0

Observation 839253d3-aefa-44e2-8e08-aef07f514d73 · inbound

Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code Generation cites this paper.

Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code Generation Qwen2.5-Coder Technical Report

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-19T11:53:03.510681Z

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=2026-05-19T11:52:44.990234Z digest=sha256:3aa3b660196dc65f652602cdeef3ddef9e91ad22171362944a4fff118c146272

Observation a3d807a5-4f2a-4a8e-a780-556515d33c06 · inbound

Reinforcing Code Generation: Improving Text-to-SQL with Execution-Based Learning cites this paper.

Reinforcing Code Generation: Improving Text-to-SQL with Execution-Based Learning Qwen2.5-Coder Technical Report

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T06:04:15.092220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:04:15.092220Z digest=sha256:421bfb341eebc3a31e9839aada7168c908cc50b93b8f6db7aa58a78b3f721995

Observation 02f77b79-ec90-474c-8ec8-64fa5b1ae1cf · inbound

Vision-EKIPL: External Knowledge-Infused Policy Learning for Visual Reasoning cites this paper.

Vision-EKIPL: External Knowledge-Infused Policy Learning for Visual Reasoning Qwen2.5-Coder Technical Report

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-19T10:37:15.007934Z

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=2026-05-19T10:34:48.849524Z digest=sha256:b78b7365ba32d8ee51e4f8579e47ce00aa5b034a9c0f121695d9357e9ea6629c

Observation a76b3e8d-7e45-4f3d-ab85-16e3acd471dd · inbound

KnowCoder-V2: Deep Knowledge Analysis cites this paper.

KnowCoder-V2: Deep Knowledge Analysis Qwen2.5-Coder Technical Report

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:44.523404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:51:44.523404Z digest=sha256:65b69d8eb3f05b02f68b6df5f71cc6c7029327a807779b2b3c882c326be420f7

Observation 6a8e573e-2b64-4a4c-8232-9f0412a38426 · inbound

ProtocolLLM: RTL Benchmark for SystemVerilog Generation of Communication Protocols cites this paper.

ProtocolLLM: RTL Benchmark for SystemVerilog Generation of Communication Protocols Qwen2.5-Coder Technical Report

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:36.064345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:36.064345Z digest=sha256:f25ba72a31b4bfe9aa32ea0e319321e40a310cdfd9ee6b7da627c02b7379a3b4

Observation 0fcbfc62-bd5c-45bf-aff3-08c2a3a698a8 · inbound

Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving cites this paper.

Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving Qwen2.5-Coder Technical Report

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:19:33.178782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:19:33.178782Z digest=sha256:5cd0e6501c8170bac50d9e995429fd0136da33df22aee51e9c03d9371f673633

Observation 9af1b8e1-e234-4ac1-adad-c4786f2216b8 · inbound

Spectral Principal Paths: A Spectral Perspective on Linear Representation Formation in LLMs cites this paper.

Spectral Principal Paths: A Spectral Perspective on Linear Representation Formation in LLMs Qwen2.5-Coder Technical Report

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-07T05:18:29.790144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:29.790144Z digest=sha256:25875fe1442603b215b9820bc62ff383ad2f6317dc083f8175fdc6b6b08253f6

Observation a0fbaa5b-66f1-41b0-8eaa-7dce963b43d5 · inbound

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner cites this paper.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Qwen2.5-Coder Technical Report

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.534856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.534856Z digest=sha256:0d1c7fe4371812ab761fd734285e70a95a8fb7afbee325d271e1d85de9cd643d

Observation 678ad2be-d5f3-4dd2-96cc-58f72d9e30ee · inbound

Intent Factored Generation: Unleashing the Diversity in Your Language Model cites this paper.

Intent Factored Generation: Unleashing the Diversity in Your Language Model Qwen2.5-Coder Technical Report

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T04:47:42.480295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:47:42.480295Z digest=sha256:7cd4c3fe31b13ca77957231680d078259ffcc5a870c3f268f616f64d19659d53

Observation 66959d81-021c-4dd7-b8e9-2f602d83edc6 · inbound

LLMs Caught in the Crossfire: Malware Requests and Jailbreak Challenges cites this paper.

LLMs Caught in the Crossfire: Malware Requests and Jailbreak Challenges Qwen2.5-Coder Technical Report

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:35:10.050104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:35:10.050104Z digest=sha256:78ecb1630d19c2313baf711d52303fce16d8102a9160f8f5e843d8c3055d3fec

Observation 15f6009d-ad1e-42c0-a927-e16b3aa54c3f · inbound

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning cites this paper.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Qwen2.5-Coder Technical Report

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T04:41:56.993199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:41:56.993199Z digest=sha256:52f8ffb3e2938f79a3be35628cc86e49cb67c39375c1f9fcf539395ff69e7f93

Observation dab5f441-ef18-4d18-9b65-684137687853 · inbound

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration cites this paper.

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration Qwen2.5-Coder Technical Report

Reference 20

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source=pdf_text observed=2026-08-07T04:32:38.563301Z digest=sha256:21689ef290361d263eb67e33abffd3cd8124ed7a86b0e07777e701db8de00dc4

Observation f7de45b5-aa0c-48ee-85a2-47fc2c432ccc · inbound

Fast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length Penalty cites this paper.

Fast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length Penalty Qwen2.5-Coder Technical Report

Reference 13

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source=arxiv_source observed=2026-08-07T04:38:09.473281Z digest=sha256:f8cfc06a5527d2b86283ce06492fb667c66f07cbb922e4a267b6c6f49278f530

Observation fe56bd4e-ee86-4a6d-b0d5-d7659287e70a · inbound

OIBench: Benchmarking Strong Reasoning Models with Olympiad in Informatics cites this paper.

OIBench: Benchmarking Strong Reasoning Models with Olympiad in Informatics Qwen2.5-Coder Technical Report

Reference 44

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source=pdf_text observed=2026-08-07T04:33:12.172149Z digest=sha256:f4180da7d8d5ca45dfde1c2c2852c6dd9582dfd45f1537e909fa02463493bf84

Observation 740f8f4d-9ffc-40a9-aaa6-3bf02bc37561 · inbound

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length cites this paper.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length Qwen2.5-Coder Technical Report

Reference 24

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source=pdf_text observed=2026-08-07T04:30:43.631402Z digest=sha256:124da65630afe626fc627b5e2f9c6d70ae43f7c3137f1a7a8d608f3f73fb9997

Observation 579d2730-740a-4c4a-b838-42d053e23109 · 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 Qwen2.5-Coder Technical Report

Reference 10

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no resolver link, observed 2026-08-07T00:59:55.909403Z

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source=arxiv_source observed=2026-08-07T00:59:55.909403Z digest=sha256:02dbf3bdcc074b1f3469fd07aff03982fed866b3dfc1215f165d3738561e65f5

Observation 4b2c8a3b-33b9-4c88-b7e8-89e3a9e22c3a · inbound

Detection, Classification, and Mitigation of Gender Bias in Large Language Models cites this paper.

Detection, Classification, and Mitigation of Gender Bias in Large Language Models Qwen2.5-Coder Technical Report

Reference 19

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source=pdf_text observed=2026-08-07T00:51:07.493587Z digest=sha256:3c705aa18d8e316dc876c5ae3efb46d0962f9b7c34ccc8f9f339041b93efb8d2

Observation 36a102e8-b41a-4e80-a14f-5d60920718b1 · inbound

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution cites this paper.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Qwen2.5-Coder Technical Report

Reference 22

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source=pdf_text observed=2026-08-07T00:49:34.246060Z digest=sha256:76e60ec6f0593ad3de98daa87f86229d425d5353dc9fea0a48bc621d854ba6cb

Observation c4d8b3cc-da20-4cf2-9e67-aad68a30c6f8 · 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 Qwen2.5-Coder Technical Report

Reference 17

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no resolver link, observed 2026-08-07T00:41:34.858625Z

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source=pdf_text observed=2026-08-07T00:41:34.858625Z digest=sha256:41e5c60b883b1426c01f904104ce79448f31e19e74a374ce986a01240a1aa06d

Observation b429c8ab-adbf-4dc2-a1a0-46830cfbc8ca · inbound

MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios cites this paper.

MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios Qwen2.5-Coder Technical Report

Reference 16

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no resolver link, observed 2026-08-07T00:42:09.511034Z

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source=arxiv_source observed=2026-08-07T00:42:09.511034Z digest=sha256:80046ce78bbaf67b0f2880a876af58c5f4cee0a45d9508e836b43ca8ef653dc9

Observation 1282722f-9f62-4698-ac9d-8054127b5827 · inbound

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

Essential-Web v1.0: 24T tokens of organized web data Qwen2.5-Coder Technical Report

Reference 27

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no resolver link, observed 2026-08-07T00:24:44.772548Z

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source=arxiv_source observed=2026-08-07T00:24:44.772548Z digest=sha256:377c1620b5940b06e4cd8e70c3f3c7389478c6be41526c1efbf55822e7bb6e4a

Observation f7be81e4-ea51-4a7f-ac66-2faa90c874ad · inbound

CC-LEARN: Cohort-based Consistency Learning cites this paper.

CC-LEARN: Cohort-based Consistency Learning Qwen2.5-Coder Technical Report

Reference 7

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no resolver link, observed 2026-08-06T23:59:25.769970Z

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source=pdf_text observed=2026-08-06T23:59:25.769970Z digest=sha256:af31054f4f76aeef200ab5869fffbec09e6ea3df159c18f6abcad60d9568139f

Observation 232b07dd-efe2-454f-93bf-693d6b5d6ae1 · inbound

Towards Effective Complementary Security Analysis using Large Language Models cites this paper.

Towards Effective Complementary Security Analysis using Large Language Models Qwen2.5-Coder Technical Report

Reference 29

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no resolver link, observed 2026-08-06T23:41:46.690422Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:41:46.690422Z digest=sha256:ac5434379eb3ba64c1249c8a59c442f1ed34e0f215d2883968382e7597f8e027

Observation 46e728ab-79e5-4760-ac1f-d3f50a7c8d2e · inbound

Mercury: Ultra-Fast Language Models Based on Diffusion cites this paper.

Mercury: Ultra-Fast Language Models Based on Diffusion Qwen2.5-Coder Technical Report

Reference 21

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verified exact
local_arxiv, observed 2026-05-17T02:05:18.888763Z

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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=2026-05-17T02:05:18.834924Z digest=sha256:4bb6abddad0610e8468f2ab01379b4f7fa4ca57396a405a4218714569ee5adba

Observation 14d38a06-45a6-4507-820f-6cbd5426ef1b · inbound

LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research cites this paper.

LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research Qwen2.5-Coder Technical Report

Reference 2024

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source=pdf_text observed=2026-08-06T23:51:19.035337Z digest=sha256:caa66f8a25e51091a611cf914e9ecfd339f2aa5cea964439ec054d5dcc33cee6

Observation 196973cd-a204-43f1-8134-c19010c63e85 · 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 Qwen2.5-Coder Technical Report

Reference 33

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local_arxiv, observed 2026-05-19T08:37:11.607565Z

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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=2026-05-19T08:36:58.880345Z digest=sha256:7a2be3918eb006a3946228942e4c9af7118b8b9d45b06022171e909cbfaa7f21

Observation d4799446-eba0-46b9-abc3-7b18fee89f36 · inbound

TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models cites this paper.

TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models Qwen2.5-Coder Technical Report

Reference 15

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no resolver link, observed 2026-08-06T23:20:01.826117Z

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source=pdf_text observed=2026-08-06T23:20:01.826117Z digest=sha256:9c9722a3265971298789f0aa8d2ea377f1a0def9a153e130e48c2d3285d166e9

Observation b8c832e3-eabc-4f6f-b6c9-f7ba9d92673c · inbound

Context-Aware CodeLLM Eviction for AI-assisted Coding cites this paper.

Context-Aware CodeLLM Eviction for AI-assisted Coding Qwen2.5-Coder Technical Report

Reference 41

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no resolver link, observed 2026-08-06T23:20:22.232878Z

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source=pdf_text observed=2026-08-06T23:20:22.232878Z digest=sha256:03431c5b6ee13e2a5d78860610e49ee2071ca6ea08ef9843b053515a249b7ecb

Observation e6635b8f-3d12-4f0a-bb44-9a0128f88acf · inbound

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization cites this paper.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization Qwen2.5-Coder Technical Report

Reference 9

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no resolver link, observed 2026-08-06T23:02:57.381539Z

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source=arxiv_source observed=2026-08-06T23:02:57.381539Z digest=sha256:c707862ab24eb4033bd0070c4db5684dfe801b334d6665b81dfc7a16000dfe4a

Observation aa61b1f1-b68c-4c8c-8308-fe3e1e61e0ed · inbound

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation cites this paper.

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Qwen2.5-Coder Technical Report

Reference 28

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no resolver link, observed 2026-08-06T22:52:33.373077Z

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source=arxiv_source observed=2026-08-06T22:52:33.373077Z digest=sha256:9be2532a9cc9afd8d4ca92aafffd3b37b6532261d4390e15ecd6a25ec8fc176b

Observation 46b454a4-95ff-474f-bee4-d78c48d97283 · inbound

Reinforcement learning fine-tuning of language model for instruction following and math reasoning cites this paper.

Reinforcement learning fine-tuning of language model for instruction following and math reasoning Qwen2.5-Coder Technical Report

Reference 8

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no resolver link, observed 2026-08-07T04:37:29.960575Z

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source=pdf_text observed=2026-08-07T04:37:29.960575Z digest=sha256:a40ea8e87cedbec0e3c5905290ae3db8c720eb243287c92901c0500f3d1cc351

Observation 212237be-8d72-4ac0-873c-e93ce1d1516f · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Qwen2.5-Coder Technical Report

Reference 137

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source=pdf_text observed=2026-08-06T21:36:33.217467Z digest=sha256:5cde01cea04f63d9b28ad0305b2285fcd9bbb61a72f93f4b63c2ae87819fccdd

Observation c2e55b09-be3f-4b28-b287-aa728940ea79 · inbound

Graft: Integrating the Domain Knowledge via Efficient Parameter Synergy for MLLMs cites this paper.

Graft: Integrating the Domain Knowledge via Efficient Parameter Synergy for MLLMs Qwen2.5-Coder Technical Report

Reference 7

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no resolver link, observed 2026-08-06T21:32:23.756344Z

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source=pdf_text observed=2026-08-06T21:32:23.756344Z digest=sha256:e942f7fac191e6df35793091a31ec30be2d662624d63125455781b449a2bfad3

Observation 6d3e9f10-ffb8-4b35-914c-5b84783f12d3 · inbound

iPanda: An LLM-based Agent for Automated Conformance Testing of Communication Protocols cites this paper.

iPanda: An LLM-based Agent for Automated Conformance Testing of Communication Protocols Qwen2.5-Coder Technical Report

Reference 17

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no resolver link, observed 2026-08-06T21:23:58.683379Z

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source=pdf_text observed=2026-08-06T21:23:58.683379Z digest=sha256:a5e471cb2c998e588823d334c5759f8f06f38075f1ece8e0044a629ee3918fd7

Observation 23192c44-2f11-4f51-b2e9-ed132606539c · inbound

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs cites this paper.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Qwen2.5-Coder Technical Report

Reference 34

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no resolver link, observed 2026-08-06T20:40:19.377635Z

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source=pdf_text observed=2026-08-06T20:40:19.377635Z digest=sha256:3f6ff78e2da0d9d6d4e30c548941c830fe68ed938bc55578404d18f5f7318ed7

Observation 074653b1-5ee5-434c-8111-5f36ba27708f · inbound

Efficient Code LLM Training via Distribution-Consistent and Diversity-Aware Data Selection cites this paper.

Efficient Code LLM Training via Distribution-Consistent and Diversity-Aware Data Selection Qwen2.5-Coder Technical Report

Reference 13

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no resolver link, observed 2026-08-06T20:36:25.257707Z

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source=arxiv_source observed=2026-08-06T20:36:25.257707Z digest=sha256:9831a24b58825ef89f24780c148dd77c392fb56ad2a1d19971fb8bab446bbab5

Observation 38e70a18-10f8-4474-96b4-36634147b2c8 · inbound

H2HTalk: Evaluating Large Language Models as Emotional Companion cites this paper.

H2HTalk: Evaluating Large Language Models as Emotional Companion Qwen2.5-Coder Technical Report

Reference 20

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no resolver link, observed 2026-08-06T20:13:26.645292Z

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source=pdf_text observed=2026-08-06T20:13:26.645292Z digest=sha256:1f0d441a3382bf34a3a7d13e3ab155c930024beb2b8f544946bad6173eaff41b

Observation cd9b383d-6907-4e68-a577-33a83da7a7c5 · inbound

Re-Emergent Misalignment: How Narrow Fine-Tuning Erodes Safety Alignment in LLMs cites this paper.

Re-Emergent Misalignment: How Narrow Fine-Tuning Erodes Safety Alignment in LLMs Qwen2.5-Coder Technical Report

Reference 9

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no resolver link, observed 2026-08-06T20:12:31.510017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:12:31.510017Z digest=sha256:bc83733b6fc314e885e28893be4d2ff13702d120114a276bcf86ac0d9b4a5796

Observation 231c3b37-334b-471c-8790-764fba8d7ce1 · inbound

A Comparative Study of Specialized LLMs as Dense Retrievers cites this paper.

A Comparative Study of Specialized LLMs as Dense Retrievers Qwen2.5-Coder Technical Report

Reference 15

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no resolver link, observed 2026-08-06T20:02:17.508271Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:02:17.508271Z digest=sha256:4d4e5a139a8ca2cce7145bc241f75a79124a2c482e3d2db92d5f68dead412708

Observation 17f8c0b6-f901-4f97-802f-73fc0b0a001c · inbound

XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL cites this paper.

XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL Qwen2.5-Coder Technical Report

Reference 38

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verified exact
local_arxiv, observed 2026-05-19T06:52:59.995282Z

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=2026-05-19T06:52:57.718359Z digest=sha256:c044e389aa2ecf0b5d74aeeb3ea0822f17d27508b1bef44e8bb9ff4fffb9451f

Observation 17ced15e-d5ae-4a2d-af3a-d76dc06dc16b · inbound

Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs cites this paper.

Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs Qwen2.5-Coder Technical Report

Reference 5

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no resolver link, observed 2026-08-06T19:23:37.769944Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T19:23:37.769944Z digest=sha256:e0a44f966bbb60f99d5fe633513206c9ec48599b0a3aa1c1e3205600b9789cd8

Observation 2b80b89d-02c8-494c-9755-c7accb10b481 · inbound

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs cites this paper.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs Qwen2.5-Coder Technical Report

Reference 11

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no resolver link, observed 2026-08-06T19:24:45.838527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:45.838527Z digest=sha256:f4ff8c48c08570b2d7102c8d159a56f6c93e180ab8890013f4f938123b39f344

Observation a4036164-5035-4f94-ab42-9af7a20fcaf2 · inbound

CogniSQL-R1-Zero: Lightweight Reinforced Reasoning for Efficient SQL Generation cites this paper.

CogniSQL-R1-Zero: Lightweight Reinforced Reasoning for Efficient SQL Generation Qwen2.5-Coder Technical Report

Reference 29

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no resolver link, observed 2026-08-06T19:18:38.166180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:18:38.166180Z digest=sha256:6c5c20a697e176d1790714db87c781f72623561d3d8530cd59f02096dd2a2c42

Observation 14c450c0-fb89-4b51-aaff-6725c9baa936 · inbound

Coding Triangle: How Does Large Language Model Understand Code? cites this paper.

Coding Triangle: How Does Large Language Model Understand Code? Qwen2.5-Coder Technical Report

Reference 14

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no resolver link, observed 2026-08-06T19:15:32.631060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:15:32.631060Z digest=sha256:4f52ac4a3f201dac76235132f31bbb1e69594c321711346a01ed6fa87476fd7e

Observation a195f9bd-a67a-426e-ab06-c99308628be6 · inbound

CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization cites this paper.

CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization Qwen2.5-Coder Technical Report

Reference 19

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no resolver link, observed 2026-08-06T19:14:15.994130Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T19:14:15.994130Z digest=sha256:bebb56a578b3f4bc8caf0301c1b61edf595fdc9183130a9f2e15922ff4f6e773

Observation 93a6db7e-ce48-4b7e-9829-ebbdb3ff9ddd · inbound

Rethinking Verification for LLM Code Generation: From Generation to Testing cites this paper.

Rethinking Verification for LLM Code Generation: From Generation to Testing Qwen2.5-Coder Technical Report

Reference 17

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no resolver link, observed 2026-08-06T18:58:21.102413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:21.102413Z digest=sha256:623936b0339063c01ec9b205966a63a2c4d4841ca5d7dd5cfd3fe695927fc9bc

Observation 0f54101d-8a92-4ba9-ae5e-9ccf6a4cad05 · inbound

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code cites this paper.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code Qwen2.5-Coder Technical Report

Reference 21

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no resolver link, observed 2026-08-06T18:43:57.839394Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:43:57.839394Z digest=sha256:fedf509c73a5bae2b9a3c9df4fd0b251665c24b7db50f36e46a658676920c24e

Observation dad0866c-51a5-4e06-94dc-b92c3fa002ca · inbound

LLMCup: Ranking-Enhanced Comment Updating with LLMs cites this paper.

LLMCup: Ranking-Enhanced Comment Updating with LLMs Qwen2.5-Coder Technical Report

Reference 71

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no resolver link, observed 2026-08-06T18:19:58.547623Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:19:58.547623Z digest=sha256:74a794ee8661806680978a5e18c24adb1a2a4560b5ef55a9895e07956ec5f20d

Observation c86736f6-fec9-4a07-b96f-d7114639c4f2 · inbound

Multilingual Multimodal Software Developer for Code Generation cites this paper.

Multilingual Multimodal Software Developer for Code Generation Qwen2.5-Coder Technical Report

Reference 27

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no resolver link, observed 2026-08-06T18:18:52.872046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:18:52.872046Z digest=sha256:ac5dabf1079f5d7dd1ad609ad2f1542c6bbef17f017f44bdc90c9709a6e7990e

Observation 41fd656c-0d31-4d14-84cf-b553a7db0da9 · inbound

Semantic Source Code Segmentation using Small and Large Language Models cites this paper.

Semantic Source Code Segmentation using Small and Large Language Models Qwen2.5-Coder Technical Report

Reference 16

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no resolver link, observed 2026-08-06T18:13:06.480669Z

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source=arxiv_source observed=2026-08-06T18:13:06.480669Z digest=sha256:01f1a80707122cdecbca1ba572894722aa7a45cb7c99fcaf7185d26b1d9a8bd8

Observation 19a5526a-e9b5-4410-90e7-d36ac01c09c0 · inbound

A Mixture of Linear Corrections Generates Secure Code cites this paper.

A Mixture of Linear Corrections Generates Secure Code Qwen2.5-Coder Technical Report

Reference 38

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source=pdf_text observed=2026-08-06T17:59:04.483089Z digest=sha256:6aed2f42180c9c5ac602adb18bad444684f64c6b9d3a83673beba26f27af9c2e

Observation 1f0c12bc-2e83-40d5-82f1-18e492523251 · inbound

Turning the Tide: Repository-based Code Reflection cites this paper.

Turning the Tide: Repository-based Code Reflection Qwen2.5-Coder Technical Report

Reference 17

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no resolver link, observed 2026-08-06T17:51:13.274018Z

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source=arxiv_source observed=2026-08-06T17:51:13.274018Z digest=sha256:3045c1bc29f35bddff8cafff5da63a56983993b029d614fb7f2427236d655353

Observation d9b75dce-a692-4a17-96c3-e4c1b56b8201 · inbound

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once cites this paper.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Qwen2.5-Coder Technical Report

Reference 21

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no resolver link, observed 2026-08-06T17:35:31.479733Z

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source=pdf_text observed=2026-08-06T17:35:31.479733Z digest=sha256:100a85940ffe3f4baf163adb4d8542fda63f26b83557cd006dd61c6f15e31592

Observation c6b60a1e-6490-4147-8ee0-071e4b962145 · inbound

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow cites this paper.

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Qwen2.5-Coder Technical Report

Reference 38

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source=pdf_text observed=2026-08-06T17:29:41.435767Z digest=sha256:b07745b2194da06960dc84c85ae525c67d45f30c5c7e486bb85cfc861ffc893e

Observation 88c76691-db89-4dd7-8a6c-9620c427d861 · inbound

SWE-MERA: A Dynamic Benchmark for Agenticly Evaluating Large Language Models on Software Engineering Tasks cites this paper.

SWE-MERA: A Dynamic Benchmark for Agenticly Evaluating Large Language Models on Software Engineering Tasks Qwen2.5-Coder Technical Report

Reference 5

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no resolver link, observed 2026-08-06T17:23:31.983323Z

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source=arxiv_source observed=2026-08-06T17:23:31.983323Z digest=sha256:908935465acdc507e445f2dbae7cbca6148cdf3152deb8b4c21d6415caadb2ad

Observation 1f3ee4f7-015f-453d-8ed5-157e37f3effd · inbound

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

MetaLint: Easy-to-Hard Generalization for Code Linting Qwen2.5-Coder Technical Report

Reference 16

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local_arxiv, observed 2026-05-19T04:12:02.972667Z

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=2026-05-19T04:07:31.283348Z digest=sha256:a58d7edc7790a8ebc84681cf732c5ab7ce1476e9b48201a95e1af1a46a5660bd

Observation 4b1ff437-c706-4e14-a774-5ef5bb174608 · inbound

ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle cites this paper.

ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle Qwen2.5-Coder Technical Report

Reference 23

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source=arxiv_source observed=2026-08-06T16:45:48.070128Z digest=sha256:d02113a1136e1e207799a52488a362a2c906ca9d2752956332ca413a293a731a

Observation 0ba706a9-de83-4d17-9619-0fa4a075aed5 · inbound

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement cites this paper.

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement Qwen2.5-Coder Technical Report

Reference 27

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local_arxiv, observed 2026-05-21T23:30:46.060129Z

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

source=arxiv_source observed=2026-05-21T23:26:38.457193Z digest=sha256:4790cd97f8712375a1c61a585a17e54dcdbc77a43a10917a91baaab86ea5eccc

Observation 99210596-09d1-48dd-8795-647088ace763 · inbound

RefCritic: Training Long Chain-of-Thought Critic Models with Refinement Feedback cites this paper.

RefCritic: Training Long Chain-of-Thought Critic Models with Refinement Feedback Qwen2.5-Coder Technical Report

Reference 10

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source=arxiv_source observed=2026-08-06T15:47:31.143756Z digest=sha256:a30e63751184db50c87ae67aaa77b00945c94f68890ca43d1af86fa17069c511

Observation d6dc164b-51f0-4bcb-8b42-6b8c19a68b9e · inbound

SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation cites this paper.

SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation Qwen2.5-Coder Technical Report

Reference 27

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no resolver link, observed 2026-08-06T15:43:37.526849Z

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source=pdf_text observed=2026-08-06T15:43:37.526849Z digest=sha256:5dad9a5a00393c515359b73bc1dfb7ba73d136d1f432231a850e0bb4d847fb4e

Observation 96651f57-00e9-467f-8d5b-b90fd9e635b0 · inbound

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training cites this paper.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Qwen2.5-Coder Technical Report

Reference 13

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verified exact
local_arxiv, observed 2026-05-19T03:37:00.907822Z

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=2026-05-19T03:36:50.366757Z digest=sha256:20706c4bfe11ba60eee51a2e978445aec133e842616b1b19e5a4e05cf72a78a4

Observation bd8e21c9-1a74-4a12-845e-bc59024a44dd · inbound

StaAgent: An Agentic Framework for Testing Static Analyzers cites this paper.

StaAgent: An Agentic Framework for Testing Static Analyzers Qwen2.5-Coder Technical Report

Reference 14

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source=pdf_text observed=2026-08-06T15:50:37.879131Z digest=sha256:a6c5caed90fe99cf20784ae6da1caaaf53eed44efa45f690060edd241ce51213

Observation 30ba6c9b-bfd9-4a36-ad2f-bae3d0d4eb87 · inbound

Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny cites this paper.

Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny Qwen2.5-Coder Technical Report

Reference 27

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no resolver link, observed 2026-08-06T15:20:12.732299Z

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source=arxiv_source observed=2026-08-06T15:20:12.732299Z digest=sha256:8a6aa4940dd228ddb22f7ccd943a2f2603941818cbfa2209243dbefbf15d913d

Observation 71e414fb-89eb-4d52-a710-b6ff434af4a9 · inbound

Depth Gives a False Sense of Privacy: LLM Internal States Inversion cites this paper.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Qwen2.5-Coder Technical Report

Reference 40

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no resolver link, observed 2026-08-06T15:18:13.123343Z

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source=pdf_text observed=2026-08-06T15:18:13.123343Z digest=sha256:7a4b4fc946e9309a1fccbf161fb5351462c28ab4b8698c17da9c275cb3d6c67e

Observation 71bfd607-32d2-4f0b-97db-531d9a1f86ef · inbound

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training cites this paper.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training Qwen2.5-Coder Technical Report

Reference 4

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source=arxiv_source observed=2026-08-06T15:12:38.404921Z digest=sha256:d9bc1c9cd293c09d53c23d1e3d7fe7c00807b094e92a2d2887e022fe59db4c2c

Observation c9f2850d-e1bb-49b0-bbc4-6f9f31b97309 · inbound

AURA: A Multi-Modal Medical Agent for Understanding, Reasoning & Annotation cites this paper.

AURA: A Multi-Modal Medical Agent for Understanding, Reasoning & Annotation Qwen2.5-Coder Technical Report

Reference 8

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no resolver link, observed 2026-08-06T15:04:19.039832Z

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source=pdf_text observed=2026-08-06T15:04:19.039832Z digest=sha256:b257a0a77a2338bfeb8560628412910dd199f9224e8f44e4e75dd13852bd4e33

Observation 67ba6bab-c973-4dc3-a64c-940ac6196742 · inbound

CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning cites this paper.

CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning Qwen2.5-Coder Technical Report

Reference 17

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no resolver link, observed 2026-08-06T14:50:27.905891Z

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source=pdf_text observed=2026-08-06T14:50:27.905891Z digest=sha256:db30d0956c7aa1f8fd2d0b1fe3ef0b7189700f54047619f95bfaf1257c0e1631

Observation 23930aed-6031-4a83-bd3e-979ecfbfb25d · inbound

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat cites this paper.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Qwen2.5-Coder Technical Report

Reference 31

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no resolver link, observed 2026-08-06T14:35:29.535195Z

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source=pdf_text observed=2026-08-06T14:35:29.535195Z digest=sha256:2b7ef8459252d8b1c2f6d0bd4d2dde95e596a55a23823660a5c53356cfb0352e

Observation a20770c5-81f5-4ece-9d9e-a16cd9d1ce50 · inbound

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? cites this paper.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Qwen2.5-Coder Technical Report

Reference 18

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source=arxiv_source observed=2026-08-06T14:17:34.000469Z digest=sha256:b1712d63aaee5d34637b00b31557c4fc9fdb70d7dbbfb4751922e007b9f66022

Observation 81d9d303-12ec-45c3-a20c-8cc3c58ca87a · inbound

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation cites this paper.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Qwen2.5-Coder Technical Report

Reference 50

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source=pdf_text observed=2026-08-06T13:56:37.365268Z digest=sha256:47b6f8224f6067c6b7c99f24d5f6299d0f664fba7c3958ce158c909af8434eef

Observation 831c0921-b0f0-4ddf-8bbb-63248ddfcd90 · inbound

Region-based Cluster Discrimination for Visual Representation Learning cites this paper.

Region-based Cluster Discrimination for Visual Representation Learning Qwen2.5-Coder Technical Report

Reference 26

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source=pdf_text observed=2026-08-06T13:56:26.755498Z digest=sha256:b0c7535e877e2f03a3c128bdb888255755227bc2604de17e402f8a2c084df658

Observation 088d5f10-5a98-461b-ad97-73c81fbb87ac · inbound

Fine-Tuning Code Language Models to Detect Cross-Language Bugs cites this paper.

Fine-Tuning Code Language Models to Detect Cross-Language Bugs Qwen2.5-Coder Technical Report

Reference 30

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local_arxiv, observed 2026-05-19T02:42:56.408519Z

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=2026-05-19T02:42:12.245477Z digest=sha256:a24bb661a7fded46c04a294f49d4b35a313ef01e9d634591ec9c555477679faa

Observation 0c043aee-8942-4f0c-aba7-40bd999e8562 · inbound

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge cites this paper.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge Qwen2.5-Coder Technical Report

Reference 10

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local_arxiv, observed 2026-05-19T03:32:01.549215Z

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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=2026-05-19T03:29:23.464348Z digest=sha256:05ba9b79ff080147890b95c95ce9bd63fee94a24c83f51807f94c87f98057c1d

Observation d0ecbdda-0a46-4f3d-a4c9-1bfd191d0f4d · inbound

UserBench: An Interactive Gym Environment for User-Centric Agents cites this paper.

UserBench: An Interactive Gym Environment for User-Centric Agents Qwen2.5-Coder Technical Report

Reference 11

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source=arxiv_source observed=2026-08-06T12:09:26.345031Z digest=sha256:ef9c3d997663aeba8a82902f87827f10cb03484bb0e653aa3176627ec06901ea

Observation b1677e11-c19d-4790-8f26-e497e772cc2b · inbound

RedCoder: Automated Multi-Turn Red Teaming for Code LLMs cites this paper.

RedCoder: Automated Multi-Turn Red Teaming for Code LLMs Qwen2.5-Coder Technical Report

Reference 16

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no resolver link, observed 2026-08-06T23:00:44.723095Z

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source=arxiv_source observed=2026-08-06T23:00:44.723095Z digest=sha256:da114f47db52d74def69647a04f5dee90f559aee10b5e0578484e74bc345a333

Observation ccd2d90f-bf71-469f-9372-ec0b2f20a136 · inbound

CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative Feedback cites this paper.

CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative Feedback Qwen2.5-Coder Technical Report

Reference 17

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no resolver link, observed 2026-08-06T14:25:40.065672Z

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source=arxiv_source observed=2026-08-06T14:25:40.065672Z digest=sha256:48a184f0f415f58428270584fea5e1084c4cd5c694f890a8cf616986f369a8b2

Observation eb15ca1f-8ad2-468d-8ac3-0005d335c76d · inbound

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance cites this paper.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Qwen2.5-Coder Technical Report

Reference 53

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no resolver link, observed 2026-08-06T11:44:04.994063Z

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source=arxiv_source observed=2026-08-06T11:44:04.994063Z digest=sha256:fca9e094a219412e57cf31f18b83fc60462f7d41cf3b68008a62b4809dee409a

Observation b699703f-49df-44ab-a06f-a4748ac70d0b · inbound

IFEvalCode: Controlled Code Generation cites this paper.

IFEvalCode: Controlled Code Generation Qwen2.5-Coder Technical Report

Reference 26

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source=pdf_text observed=2026-08-06T11:44:33.977919Z digest=sha256:c94b4ba81ae5b8e9d0c5e52cdd6204ae5eae9770bdfe888fff7b3493bd890f5a

Observation 5215cc54-ca90-441d-afd9-501287effa3d · inbound

Detailed radial scale height profile of dust grains as probed by dust self-scattering in HL Tau cites this paper.

Detailed radial scale height profile of dust grains as probed by dust self-scattering in HL Tau Qwen2.5-Coder Technical Report

Reference 14

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no resolver link, observed 2026-08-06T05:46:59.374401Z

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source=pdf_text observed=2026-08-06T05:46:59.374401Z digest=sha256:84425bf0cb1ff029b0cd1de7a58baf5f9ffb7ff32ad81f7ef877696eac4527e8

Observation cc7e9e35-ef2d-4357-bdb7-d32c3887ee06 · inbound

SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches cites this paper.

SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches Qwen2.5-Coder Technical Report

Reference 14

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no resolver link, observed 2026-08-06T05:48:15.990701Z

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source=pdf_text observed=2026-08-06T05:48:15.990701Z digest=sha256:61afa55e235ba2d395932583129ec8e3701b8392f0a1e12b3fbaa83fd983fd0d

Observation e1fd8b1b-21fa-48b1-9fa3-0f4edd6ef6ae · inbound

Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting cites this paper.

Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting Qwen2.5-Coder Technical Report

Reference 56

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source=pdf_text observed=2026-08-06T05:02:24.652010Z digest=sha256:76549e98471ebf1f4010f7be150c90594b82c07f31a22bd5dee50ae9a7cdf9c4

Observation d90b85bc-2760-4e2e-9c80-9711632261e5 · inbound

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice cites this paper.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Qwen2.5-Coder Technical Report

Reference 38

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source=pdf_text observed=2026-08-06T04:31:02.814330Z digest=sha256:a853cf9027c85aa07b1527b5c3bb5c47f61fb2c2b932a930abd1b8be703b9507

Observation ef83a18a-73fc-49dc-b616-0dfc9c35f76f · inbound

Vibration-Based Energy Metric for Restoring Needle Alignment in Autonomous Robotic Ultrasound cites this paper.

Vibration-Based Energy Metric for Restoring Needle Alignment in Autonomous Robotic Ultrasound Qwen2.5-Coder Technical Report

Reference 34

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source=pdf_text observed=2026-08-05T22:28:15.479079Z digest=sha256:6a5d48878134b0c25466dd89ce1296b5416cd84c0803d6dc313f9e02652d2fa9