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Paper Citation Record · LEDGER

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis

As of 18 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.27146.

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

pith.paper-citation-record.v1
2607.27146 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T12:11:35.124762Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b06ac9fc-950c-4029-822e-3db5a7035d9c · outbound

This paper cites We find no repository-identity overlap for RepoZero C2Rust, SWE-bench Verified, SWE-bench Pro, or FeatBench.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis We find no repository-identity overlap for RepoZero C2Rust, SWE-bench Verified, SWE-bench Pro, or FeatBench

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:11:35.124762Z digest=sha256:e5b4fa9537b3639bd1b0d116af761f5c6a6d65c6f41d825bfa48436ed80c0687

Observation 149949dc-013e-4e9c-ae44-d802567f0b80 · outbound

This paper cites arXiv preprint arXiv:2509.22237.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis arXiv preprint arXiv:2509.22237

Reference 3

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source=pdf_text observed=2026-07-30T12:11:34.882830Z digest=sha256:804687bcdfc88e0d23a9ad91c5f9c3a91a65283b2e91ea6ae5ab42fdf7f2d640

Observation 9041d121-6f87-432c-aaf4-680c8e647b0d · outbound

This paper cites Chowdhury, N.; Aung, J.; Chan, J.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis Chowdhury, N.; Aung, J.; Chan, J

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:11:34.887733Z digest=sha256:8b441e7f851263489c3d0262ba2e9342bc26e250b35e4681c5493cf967205e71

Observation 6b2739b5-ded0-4390-9c83-aaa74d9d8e1b · outbound

This paper cites SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Reference 6

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source=pdf_text observed=2026-07-30T12:11:34.896009Z digest=sha256:888d51e396d33e7a05c558d0a78f410d4b9896b6d5b32ab6397bafdb6cf903ea

Observation 5f4aa98a-0881-4a88-b98f-a811504e466b · outbound

This paper cites Facchinetti, T.; and others.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis Facchinetti, T.; and others

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:11:34.900266Z digest=sha256:0c404aaf40ecbc28d3b4da959a5e3b868f93a669d0b9748c3b479cf5b9d9287e

Observation 95c98590-14ff-4301-a293-95babea52375 · outbound

This paper cites Garrett-Harris, A.; Neidel, J.; and others.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis Garrett-Harris, A.; Neidel, J.; and others

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:11:34.905622Z digest=sha256:52ca5ff2e80580e43236136be24435f4704e8254b4fa6233b2fd7bde8359f7e6

Observation 6bc74e99-99bd-4c27-9f31-050a34d9e422 · outbound

This paper cites DeepSWE: Measuring Frontier Coding Agents on Original, Long-Horizon Engineering Tasks.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis DeepSWE: Measuring Frontier Coding Agents on Original, Long-Horizon Engineering Tasks

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:11:34.909458Z digest=sha256:46ecd077640e54243b3dca2bece1029a8805a9f369d200451152755d8152a10e

Observation c1fe8e5f-5954-4bf9-9fd6-676709536aba · outbound

This paper cites Microsoft, arXiv:2509.16198.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis Microsoft, arXiv:2509.16198

Reference 10

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no resolver link, observed 2026-07-30T12:11:34.913839Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:11:34.913839Z digest=sha256:b9d66bc61c0dfb2ba3923fbe30fa36fdafc27247eb86e0a6e768fea9f1debf74

Observation 00580f66-9849-4910-8847-22cf1b41d212 · outbound

This paper cites Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

Reference 11

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source=pdf_text observed=2026-07-30T12:11:34.925761Z digest=sha256:d7b977968b3ae85d20b6c2fed221dc867d829e14e9eff753a06de79197bd514c

Observation b40929c4-7b95-4272-b7fb-085cbd8c08d1 · outbound

This paper cites OpenThoughts-Agent: Data Recipes for Agentic Models.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis OpenThoughts-Agent: Data Recipes for Agentic Models

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:11:34.931012Z digest=sha256:239e43296503c59b2502e64b830fb12c872161ba128815544978dfae5a98b96d

Observation 3d826c4f-9553-475f-9883-40f127c14ada · outbound

This paper cites Team, K.; et al.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis Team, K.; et al

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:11:34.977046Z digest=sha256:cb4653549bf25c5cf5ea4f38ecbdef70fde3b23893c0f901a276dc0b783dbe93

Observation c717632d-b0dc-482f-878a-e7c95bb6eb3b · outbound

This paper cites arXiv:2607.24653.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis arXiv:2607.24653

Reference 15

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no resolver link, observed 2026-07-30T12:11:34.981033Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:11:34.981033Z digest=sha256:65666fe23ad674fec63f4e99ba9fb7cbd040a0765ab7d98a2641aa119181b909

Observation 002340b8-ce58-4f4c-8811-6cca9157b387 · outbound

This paper cites Xie, C.; Li, B.; Gao, C.; Du, H.; Lam, W.; Zou, D.; and Chen,K.2025.SWE-Fixer:TrainingOpen-SourceLLMsfor EffectiveandEfficientGitHubIssueResolution.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis Xie, C.; Li, B.; Gao, C.; Du, H.; Lam, W.; Zou, D.; and Chen,K.2025.SWE-Fixer:TrainingOpen-SourceLLMsfor EffectiveandEfficientGitHubIssueResolution

Reference 16

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source=pdf_text observed=2026-07-30T12:11:34.985662Z digest=sha256:5c842fba0a773c1b714ff9457f38537d340d7c90190318133f12e220fae00dda

Observation d3af28b7-132b-4971-8eef-03e15235eecf · outbound

This paper cites https: //z.ai/blog/glm-5.2.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis https: //z.ai/blog/glm-5.2

Reference 18

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source=pdf_text observed=2026-07-30T12:11:34.994339Z digest=sha256:659e6f98f1905cf75f149fe6b1b6767c60c6ef3234fe861f21ef608f3249dee6

Observation cc734c46-ce93-49e2-be33-de6bf3367cef · outbound

This paper cites InPro- ceedings of the 62nd Annual Meeting of the Association for ComputationalLinguistics(Volume1:LongPapers),13643– 13658.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis InPro- ceedings of the 62nd Annual Meeting of the Association for ComputationalLinguistics(Volume1:LongPapers),13643– 13658

Reference 19

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source=pdf_text observed=2026-07-30T12:11:34.998993Z digest=sha256:b138c27ab05952aa7755f47e7fd52ff1975ea4f090f47be2c8f6bab239ab23ea

Observation c78c196b-9438-4cd0-bb1f-5c35eb8001aa · outbound

This paper cites RepoZero: Can LLMs Generate a Code Repository from Scratch?.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis RepoZero: Can LLMs Generate a Code Repository from Scratch?

Reference 20

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no resolver link, observed 2026-07-30T12:11:35.004167Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:11:35.004167Z digest=sha256:efb0deb30b2aaa60ec8b43ccfa216e206426367b9c172c6f2982e10a6a9bd431

Observation afdff7b7-ffb4-4c36-b5bd-3f66f8abecd3 · outbound

This paper cites SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 21

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source=pdf_text observed=2026-07-30T12:11:35.034758Z digest=sha256:9289bcb92a464baabed1ba7c70f6bc6bdeb37830a3b4777425eec3106efa9657

Observation d57c807f-6848-47f9-9cee-72b0b565b2f6 · outbound

This paper cites ProgramBench: Can Language Models Rebuild Programs From Scratch?.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis ProgramBench: Can Language Models Rebuild Programs From Scratch?

Reference 38

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source=pdf_text observed=2026-07-30T12:11:34.990083Z digest=sha256:142fafc39b9f33be768be750f0b5284e9149d392aae2bdd629280f25268c6e54

Observation 8261561c-1e91-47f9-82c4-bbe269916655 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 2019

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source=pdf_text observed=2026-07-30T12:11:34.971839Z digest=sha256:939032743d68efaf6441d05bda1a5393b54c19d8def53a06417abcc0ab2f1c6e

Observation 2f9f62e6-6f6b-4ff1-b107-f9e248bb2680 · outbound

This paper cites https: //openai.com/index/introducing-swe-bench-verified/.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis https: //openai.com/index/introducing-swe-bench-verified/

Reference 2024

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source=pdf_text observed=2026-07-30T12:11:34.891883Z digest=sha256:dccd45377a70db002496cd94fe15b94594e95c8657bff536c267651098ba0fac

Observation 2f6c2de5-8eb4-4ae4-854d-ec1db71acbac · outbound

This paper cites Chen, H.; Li, C.; and Li, J.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis Chen, H.; Li, C.; and Li, J

Reference 2025

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source=pdf_text observed=2026-07-30T12:11:34.878508Z digest=sha256:13d4ce13b674dc0bcc354ccf109c048235e7c2bea8cda2d961e89af6b7c59378

Observation e8bbb616-e7b6-469b-b4e4-ba9031f1831a · outbound

This paper cites MirrorCode: AI can rebuild entire programs from behavior alone.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis MirrorCode: AI can rebuild entire programs from behavior alone

Reference 2026

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source=pdf_text observed=2026-07-30T12:11:34.864873Z digest=sha256:0e720a69a01545fa2c6ffe4be79ab2ff7785ab903f92cbd732fa4630bca0ffed

Pith citing papers

No inbound Pith citation observations are available.