Paper Citation Record · LEDGER

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents

As of 5 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2604.01496.

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

pith.paper-citation-record.v1
2604.01496 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T21:44:07.775936Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T01:33:26.293397Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T15:25:48.012747Z

Reference resolution

45 of 45 outbound references displayed

verified exact24
verified fuzzy17
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 95ab3e79-cc7b-4726-acbc-3b985e166daf · outbound

This paper cites Claude 4 sonnet.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Claude 4 sonnet

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.580713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ebc1abd8-42eb-4560-af39-86a761f6fb70 · outbound

This paper cites Introducing claude opus 4.5.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Introducing claude opus 4.5

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.575557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aa4d3dc0-8063-432a-8dc2-0bd1f601d857 · outbound

This paper cites SWE -rebench: An automated pipeline for task collection and decontaminated evaluation of software engineering agents.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents SWE -rebench: An automated pipeline for task collection and decontaminated evaluation of software engineering agents

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.570679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c8bb0986-0156-4f30-8be5-baceb8b5a4d6 · outbound

This paper cites Qwen3-Coder-Next Technical Report.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Qwen3-Coder-Next Technical Report

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:12:48.468873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6ac78075-9f9c-4c64-a5ec-64fcbe811f10 · outbound

This paper cites arXiv preprint arXiv:2511.16108(2025).

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents arXiv preprint arXiv:2511.16108(2025)

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T21:48:19.297144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f3908887-613d-4272-92ed-0be3f5757784 · outbound

This paper cites Cwm: An open-weights llm for research on code generation with world models.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Cwm: An open-weights llm for research on code generation with world models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:48:19.291901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4aa441cc-d63b-4d34-8347-e36346bf7010 · outbound

This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:48:19.302532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6dfb1449-3e10-400e-b8b0-fb3910c91c33 · outbound

This paper cites davinci-env: Open swe environment synthesis at scale.arXiv preprint.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents davinci-env: Open swe environment synthesis at scale.arXiv preprint

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:48:19.294457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e521f1a2-8547-4fba-9a66-45a4134a82cc · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents GLM-5: from Vibe Coding to Agentic Engineering

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:48:19.337646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d402218d-3033-43d9-9b03-ff98e15514dc · outbound

This paper cites Training long-context, multi-turn software engineering agents with reinforcement learning.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Training long-context, multi-turn software engineering agents with reinforcement learning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:48:19.340462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation df285607-58ef-4bdc-a166-4baf8e0f4a97 · outbound

This paper cites Gemini 3 flash: frontier intelligence built for speed.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Gemini 3 flash: frontier intelligence built for speed

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.546502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 35e2a0d2-5a44-4a29-a487-9f66d11e30d4 · outbound

This paper cites Swe-factory: Your automated factory for issue resolution training data and evaluation benchmarks.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Swe-factory: Your automated factory for issue resolution training data and evaluation benchmarks

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:48:19.310465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7ec021cd-41cc-40e5-a5da-0f47dd94af88 · outbound

This paper cites SWE-Swiss : A multi-task fine-tuning and RL recipe for high-performance issue resolution.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents SWE-Swiss : A multi-task fine-tuning and RL recipe for high-performance issue resolution

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.559540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e6db094e-66b9-431b-9dfe-184ac5f97c60 · outbound

This paper cites Qwen2.5-Coder Technical Report.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Qwen2.5-Coder Technical Report

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:48:19.307324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d9f27d88-2e44-4aaa-8521-44fa57af21d6 · outbound

This paper cites R2e-gym: Procedural environment generation and hybrid verifiers for scaling open-weights SWE agents.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents R2e-gym: Procedural environment generation and hybrid verifiers for scaling open-weights SWE agents

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.551504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5423efd8-82dc-418c-a904-b8286b147d52 · outbound

This paper cites SWE -bench: Can language models resolve real-world github issues? In The Twelfth International Conference on Learning Representations.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents SWE -bench: Can language models resolve real-world github issues? In The Twelfth International Conference on Learning Representations

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.556274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1d32d741-7ad1-40ab-86a7-59a025087634 · outbound

This paper cites mini-swe-agent-plus: The 100-line AI agent that solves GitHub issues with text-edit tool.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents mini-swe-agent-plus: The 100-line AI agent that solves GitHub issues with text-edit tool

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.540944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3a5ec262-7f3f-48cf-a95e-0a89a8ac3d24 · outbound

This paper cites an unresolved cited work.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-05-13T23:13:25.562291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9b6e07c2-e854-419b-aa47-f9bfce2d8bd5 · outbound

This paper cites Swe-gpt: A process-centric language model for automated software improvement.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Swe-gpt: A process-centric language model for automated software improvement

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.573211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4fee9859-4bce-4b81-a279-738196e5a516 · outbound

This paper cites Minimax m2.5: Built for real-world productivity.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Minimax m2.5: Built for real-world productivity

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.578095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 15007b89-a25e-478f-b873-3ff0770e095f · outbound

This paper cites Introducing GPT-5.2.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Introducing GPT-5.2

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.586095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5a75bac0-07b9-4eb1-8270-a35bede28079 · outbound

This paper cites Training software engineering agents and verifiers with SWE -gym.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Training software engineering agents and verifiers with SWE -gym

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.543811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 06510e45-6aae-453e-9af3-331f98031bee · outbound

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

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents YaRN: Efficient Context Window Extension of Large Language Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:48:19.355103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 92ce77c0-275d-4acf-8b12-291400c69d85 · outbound

This paper cites Swe-synth: Synthesizing verifiable bug-fix data to enable large language models in resolving real-world bugs.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Swe-synth: Synthesizing verifiable bug-fix data to enable large language models in resolving real-world bugs

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:48:19.347573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 30b30d9f-e5fd-402f-b66b-e5986e7fc065 · outbound

This paper cites Qwen3.5 : Towards native multimodal agents, February 2026.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Qwen3.5 : Towards native multimodal agents, February 2026

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.549212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fc695777-de52-40a5-91aa-5465fd64384e · outbound

This paper cites SERA: Soft-Verified Efficient Repository Agents.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents SERA: Soft-Verified Efficient Repository Agents

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-01T02:02:25.560016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c7f73f9c-000f-4704-a833-b68174ebf72e · outbound

This paper cites R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:48:19.315145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6d84ded3-f090-4930-a830-ac6883a21628 · outbound

This paper cites Shuang Sun, Huatong Song, Lisheng Huang, Jinhao Jiang, Ran Le, Zhihao Lv, Zongchao Chen, Yiwen Hu, Wenyang Luo, Wayne Xin Zhao, Yang Song, Hongteng Xu, Tao Zhang, and Ji-Rong Wen.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Shuang Sun, Huatong Song, Lisheng Huang, Jinhao Jiang, Ran Le, Zhihao Lv, Zongchao Chen, Yiwen Hu, Wenyang Luo, Wayne Xin Zhao, Yang Song, Hongteng Xu, Tao Zhang, and Ji-Rong Wen

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T21:48:19.305127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f4f5072b-2271-4930-9f2a-4ea201214e8f · outbound

This paper cites BugPilot: Complex Bug Generation for Efficient Learning of SWE Skills.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents BugPilot: Complex Bug Generation for Efficient Learning of SWE Skills

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:48:19.350291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bbf8fd84-a8b7-4a4b-ad26-2c9c0de09977 · outbound

This paper cites Swe-world: Building software engineering agents in docker-free environments.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Swe-world: Building software engineering agents in docker-free environments

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:48:19.329455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2279074f-3453-4e75-bf63-e566a1032caa · outbound

This paper cites Swe-lego: Pushing the limits of supervised fine-tuning for software issue resolving.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Swe-lego: Pushing the limits of supervised fine-tuning for software issue resolving

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:48:19.335052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 880a4f81-04bb-46f3-abd1-d8347b20aa39 · outbound

This paper cites MiMo-V2-Flash Technical Report.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents MiMo-V2-Flash Technical Report

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:48:19.332104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b6f423fa-eb85-4417-87d0-065b497204df · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Kimi K2.5: Visual Agentic Intelligence

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:48:19.345212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e440cb35-0568-4db2-bd74-2ad19b10824c · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Kimi K2: Open Agentic Intelligence

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:48:19.342753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 85fdd453-4528-4e95-bb5c-1329fb793d01 · outbound

This paper cites SWE -dev: Building software engineering agents with training and inference scaling.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents SWE -dev: Building software engineering agents with training and inference scaling

Reference 35

Resolution: verified exact; doi, observed 2026-05-13T21:48:18.987366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7f9d9f48-b16b-44db-b26f-701d9aa68e71 · outbound

This paper cites Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.583093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e8c95059-61ce-4b66-958c-429800b3b0e3 · outbound

This paper cites Demystifying llm-based software engineering agents.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Demystifying llm-based software engineering agents

Reference 37

Resolution: verified exact; doi, observed 2026-05-13T21:48:18.985160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 33fa546f-253b-4495-b753-e0aa3e7eea35 · outbound

This paper cites SWE -fixer: Training open-source LLM s for effective and efficient G it H ub issue resolution.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents SWE -fixer: Training open-source LLM s for effective and efficient G it H ub issue resolution

Reference 38

Resolution: verified exact; doi, observed 2026-05-13T21:48:18.989481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6944afc0-0343-4356-a419-af392a957a2b · outbound

This paper cites Qwen3 Technical Report.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Qwen3 Technical Report

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:48:19.352745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4d4dbef0-6fa8-48c5-91d8-b611e670db39 · outbound

This paper cites SWE -agent: Agent-computer interfaces enable automated software engineering.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents SWE -agent: Agent-computer interfaces enable automated software engineering

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.553698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 532f33e6-9751-484f-bec8-b41d67d9aad9 · outbound

This paper cites SWE -smith: Scaling data for software engineering agents.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents SWE -smith: Scaling data for software engineering agents

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.567870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation be64912d-20a3-4dfc-8437-ed852ce7075f · outbound

This paper cites Kimi-dev: Agentless training as skill prior for swe-agents, 2025 c.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Kimi-dev: Agentless training as skill prior for swe-agents, 2025 c

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:48:19.320300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bb04b1f6-0e76-422d-90c4-44028e132634 · outbound

This paper cites davinci-dev: Agent-native mid-training for software engineering.arXiv preprint.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents davinci-dev: Agent-native mid-training for software engineering.arXiv preprint

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:48:19.317643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ad99da61-c874-4c1d-8478-67f78314f979 · outbound

This paper cites Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T21:48:19.312916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 20e518d0-7f44-4747-accb-342de67b17fb · outbound

This paper cites write newline.

From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents write newline

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T23:13:25.565226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation f7e9aae6-6174-499a-8bf5-024c679d9e3e · inbound

Dockerless: Environment-Free Program Verifier for Coding Agents cites this paper.

Dockerless: Environment-Free Program Verifier for Coding Agents From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T15:25:48.014482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.