Paper Citation Record · LEDGER

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs

As of 8 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 5 inbound Pith citation observations for arXiv:2506.19290.

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

pith.paper-citation-record.v1
2506.19290 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:11:10.505914Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:41:40.786846Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T05:14:37.617789Z

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy6
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c0b58663-22a9-44e3-b645-b460876e30db · outbound

This paper cites Claude 3.5 sonnet announcement.https://www.anthropic.com/news/claude-3-5-sonnet, 2024a.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Claude 3.5 sonnet announcement.https://www.anthropic.com/news/claude-3-5-sonnet, 2024a

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:12.670530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c5ce47b9-66c8-4e6f-94f2-2d1f8dbb645c · outbound

This paper cites an unresolved cited work.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:11:12.512778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7ddf2ca5-bd6f-4901-be39-c9a0cc1420c7 · outbound

This paper cites A systematic literature review of the opportunities and advantages for aigc (openai chatgpt, copilot, codex) in programming course.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs A systematic literature review of the opportunities and advantages for aigc (openai chatgpt, copilot, codex) in programming course

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:12.325095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ddd90046-0c1c-4a56-ae57-c9d2c83280a9 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Evaluating Large Language Models Trained on Code

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:08.036284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fa8f609-134f-4356-a5dc-116df114e947 · outbound

This paper cites DeepSeek-AI.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs DeepSeek-AI

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:12.123474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b7680d06-78ec-4429-821a-07ce6849574f · outbound

This paper cites DeepSeek-V3 Technical Report.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs DeepSeek-V3 Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:08.195134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fde1484c-2130-4dc1-bfda-83e7ce6b874f · outbound

This paper cites Google DeepMind.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Google DeepMind

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:11.962000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7b1db71d-d17f-40fa-8072-2857e2349b5e · outbound

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

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:08.307705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e520610f-7c4f-40f9-9655-9863d07dbb8f · outbound

This paper cites Training Compute-Optimal Large Language Models.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Training Compute-Optimal Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:08.392238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a69442e7-fc30-457f-981a-f6d587c4131e · outbound

This paper cites OpenAI o1 System Card.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs OpenAI o1 System Card

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:08.480147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ae55da4-bb60-4852-bd76-572ec991861a · outbound

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

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:08.578304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 423db29c-5b5c-4965-bff8-784a71a655a0 · outbound

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

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs A Survey on Large Language Models for Code Generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:08.647496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7e73bac-c26b-4775-97c1-79d72bec9c9a · outbound

This paper cites Scaling Laws for Neural Language Models.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Scaling Laws for Neural Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:08.756558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5dd0957-cac0-43ba-8316-4e8de9778731 · outbound

This paper cites Sequence Parallelism: Long Sequence Training from System Perspective.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Sequence Parallelism: Long Sequence Training from System Perspective

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:08.905826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6419c26f-073d-4e88-bfdc-9b8d674de727 · outbound

This paper cites Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:09.093930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c20f8e3-4348-4dd6-b2c9-df636e006b34 · outbound

This paper cites an unresolved cited work.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:11:11.691393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c8fbd16a-cf4a-4253-9730-d49c3ad09301 · outbound

This paper cites an unresolved cited work.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:11:11.566293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 103f92a3-7580-49f8-9048-b3daa461f14a · outbound

This paper cites an unresolved cited work.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:11:11.427255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e38bb1b1-4790-4337-a8c7-7e6566737a9e · outbound

This paper cites Arvid Orwall.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Arvid Orwall

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:11.276287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation af3929a0-562c-42f9-8611-0adc621d1a69 · outbound

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

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Training Software Engineering Agents and Verifiers with SWE-Gym

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:09.571116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ada5004-ff93-40f5-b635-175f10b6259e · outbound

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

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Code Llama: Open Foundation Models for Code

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:09.668042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd4e6c6c-ca51-4288-96c1-f16c5f3d7882 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs HybridFlow: A Flexible and Efficient RLHF Framework

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:09.754346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 297628a4-7f40-4744-b0f5-361c3ed2bf56 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Gemini: A Family of Highly Capable Multimodal Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:09.806991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be903771-c0ea-4b51-aca1-0db92923b09f · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:09.888459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02e971c6-7345-480d-a76b-99506fc3600e · outbound

This paper cites Xingyao Wang.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Xingyao Wang

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:11.139846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c0020db4-bf0d-4aed-98bb-dbd962d0c363 · outbound

This paper cites Agentless: Demystifying LLM-based Software Engineering Agents.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Agentless: Demystifying LLM-based Software Engineering Agents

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:10.035674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bf4f200-d3c6-439a-b088-c3355b62f43c · outbound

This paper cites SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:10.148823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8dda49d-1d6b-49f7-b5d5-acc147861ff1 · outbound

This paper cites SWE-smith: Scaling Data for Software Engineering Agents.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs SWE-smith: Scaling Data for Software Engineering Agents

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:10.275936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc4b0383-3768-432d-a472-3c7e2507c48c · outbound

This paper cites Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:10.393974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc5d2b34-dd2a-4d94-88f9-aa7de323c97b · outbound

This paper cites ISBN 9798400706127.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs ISBN 9798400706127

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:10.505914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a75704de-cfb3-481b-9c94-76a203404ec6 · outbound

This paper cites WizardCoder: Empowering Code Large Language Models with Evol-Instruct.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:09.005144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 044233e7-9c94-4f2b-8f3b-e3f98bd1906d · outbound

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

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs StarCoder: may the source be with you!

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:08.822357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation decdef1a-9e66-4b4a-90e1-378bace4df5b · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:07.813419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 744baabb-3381-4716-84ed-b1b5331ad8a1 · outbound

This paper cites Program Synthesis with Large Language Models.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs Program Synthesis with Large Language Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:07.749098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 5f21a036-8fbe-4fb7-8fda-f49277fe9b97 · inbound

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

SERA: Soft-Verified Efficient Repository Agents Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T07:17:13.467779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 2026-08-08T06:32:00.761636+00:00.

Observation 3b9b2831-afef-4672-b4e1-5f0e818ee029 · inbound

From Patches to Trajectories: Privileged Process Supervision for Software-Engineering Agents cites this paper.

From Patches to Trajectories: Privileged Process Supervision for Software-Engineering Agents Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:14:37.620437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 438264f4-0278-4f16-ab3c-18c2fb495098 · inbound

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models cites this paper.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs

Reference 47

Resolution: malformed identifier; no resolver link, observed 2026-08-02T06:34:00.971942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04676a2d-3c3f-454c-b7ed-2ef17115bde5 · inbound

DCAS: Decoupling CLI Agent Scaffolding to Internalize Planning across Scaffolds cites this paper.

DCAS: Decoupling CLI Agent Scaffolding to Internalize Planning across Scaffolds Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:41:40.786846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.