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Paper Citation Record · LEDGER

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner

As of 8 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 3 inbound Pith citation observations for arXiv:2506.09003.

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

pith.paper-citation-record.v1
2506.09003 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:01:08.735443Z

measured 62 of 62 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:54:59.035677Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:57:48.266442Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 396625a1-f3b0-48c5-b91b-515431943a4b · outbound

This paper cites Claude 3 family, 2024.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Claude 3 family, 2024

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:10.551858Z

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.

source=arxiv_source observed=2026-08-07T05:01:08.474210Z digest=sha256:9bc720988b64017cc67b9ac21d1ba83f299497a8b85114b7deeebaefe2596710

Observation 148497a2-5abc-4c24-92c4-8286d3122ab5 · outbound

This paper cites Program Synthesis with Large Language Models.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Program Synthesis with Large Language Models

Reference 2

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unresolved
no resolver link, observed 2026-08-07T05:01:08.479429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.479429Z digest=sha256:00120467cffcb696876c093752cc2894bf38b59d9b36b3abec94e2b0bef0e01d

Observation 4985abcb-a917-4a1c-a0b4-373f3045aaa7 · outbound

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

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Efficient Training of Language Models to Fill in the Middle

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.484322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.484322Z digest=sha256:31442e1eb3b6fb2fed92c7332b9214d0a8d7a124c2e2a35e80f928df5ef8e86c

Observation e73688e8-216e-4e97-9129-08ffc7b77aaf · outbound

This paper cites Test Driven Development: By Example.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Test Driven Development: By Example

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:10.442714Z

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.

source=arxiv_source observed=2026-08-07T05:01:08.488707Z digest=sha256:33c2d45d15685ec50b8fe764ec263b50c6bd6dfa34923c338f82ca71b2f36fd9

Observation f1cb6808-04da-4691-a4e4-a08150bf311f · outbound

This paper cites J., Feldman, M.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner J., Feldman, M

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.492348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.492348Z digest=sha256:750cd03b11860ba31a89766281ab0daadb8cd195672ce2fc5dd83b7660666e8b

Observation 34c28701-ec53-491d-ac55-6e1835c1cc3f · outbound

This paper cites McEval: Massively Multilingual Code Evaluation.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner McEval: Massively Multilingual Code Evaluation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.496370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.496370Z digest=sha256:034017b34520cc524909d50139d00ee02b05bcd8b91fa8c3aaec5bf875e723c1

Observation 422008cd-f3dd-404d-9bfc-47423db6a024 · outbound

This paper cites Code alpaca: An instruction-following llama model for code generation.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Code alpaca: An instruction-following llama model for code generation

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:10.300217Z

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.

source=arxiv_source observed=2026-08-07T05:01:08.500665Z digest=sha256:7cd1a0de7a591a31ea4c5b6f6bc6b3d55c0c0adc27271f631def8c168c8fe71c

Observation fe99a3f4-421e-4bdd-b8ea-849e856352d8 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Evaluating Large Language Models Trained on Code

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.504089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.504089Z digest=sha256:a3332f987e22cf903529f2af758b343832b529a1c24f238d28109e4100e0710b

Observation 5e442615-3f4d-4025-9f9e-4dec4518f998 · outbound

This paper cites Fullstack bench: Evaluating llms as full stack coders.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Fullstack bench: Evaluating llms as full stack coders

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:10.202212Z

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.

source=arxiv_source observed=2026-08-07T05:01:08.507692Z digest=sha256:129998f9d76bf7baf22e89f9cf6bdaa73f32e4b28a7dc7eeb1de60bb2b50a86a

Observation 8ed31676-e688-4629-bc5b-e5c964992966 · outbound

This paper cites an unresolved cited work.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:01:10.039972Z

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.

source=arxiv_source observed=2026-08-07T05:01:08.512169Z digest=sha256:aa49d159cce2d30b983dd26f79ee91ac94fd6fd7aa257eaf502c096e53b64fb5

Observation 469fccc6-d802-4ed2-a002-d35451dd7353 · outbound

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

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 11

Resolution
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no resolver link, observed 2026-08-07T05:01:08.515327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.515327Z digest=sha256:f324c84118cc146f68836a87765fff9e72f6595e94f4024b5e06a31333564133

Observation cb5149ce-d329-4e28-aa70-41d3d98f6fd0 · outbound

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

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.519401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.519401Z digest=sha256:252d1a329cc8754172370b517d024a9309593ea3a0c224429ed24b4464826230

Observation c2bb375d-f21f-409f-bbd2-e0b14872c100 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.522960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.522960Z digest=sha256:c4c6c6c8b1ebee7485137a07d6431ec7f2653f99245cbad2c35a7a7633bac175

Observation 914b9a65-a169-4853-a396-d30beccec76f · outbound

This paper cites Cosqa: 20,000+ web queries for code search and question answering.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Cosqa: 20,000+ web queries for code search and question answering

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:09.921589Z

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.

source=arxiv_source observed=2026-08-07T05:01:08.527327Z digest=sha256:81ae63e2a522dcb36fa0402c04aa86166eae359c7337762422c250cd5dbd0531

Observation 604ccd9b-19ad-42d2-88da-1e6e881894a8 · outbound

This paper cites OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.531079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.531079Z digest=sha256:c6f1c5d642b99dbb6a61f0d9adbf7878920ab609cbb0451a18d8c0cd74fed941

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

This paper cites Qwen2.5-Coder Technical Report.

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:e375efd9ca2dcff1c44332487dc7c3ac35c2938792f7b4c40851b78f6337373b

Observation cb8600d7-aa7d-426b-a0e3-95c8743b81c1 · outbound

This paper cites an unresolved cited work.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:01:09.795207Z

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.

source=arxiv_source observed=2026-08-07T05:01:08.538959Z digest=sha256:77a4fb98a5eded98156a9251f8bdf20814f78c2bdf4a3e4a8ba8e6a5a8f5d07b

Observation d71fdfd5-32fe-441c-93ea-c5aa533c1081 · outbound

This paper cites GPT-4o System Card.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner GPT-4o System Card

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.543138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.543138Z digest=sha256:804dbe55d63466926b08cb8944fa6152fcb95e45706e40bc8b5537ca6563de1e

Observation c12fddc4-2bc5-43e5-8bee-84548098ab65 · outbound

This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.548148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.548148Z digest=sha256:6d36a6b2dbda71a4a35ce34dc64e274670618a3d18469521ebaeb89d0faf75cd

Observation d6ebfacc-bffc-43b1-8d7a-2b83551e1920 · outbound

This paper cites OpenAI o1 System Card.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner OpenAI o1 System Card

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.553169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.553169Z digest=sha256:4dbd1593d22954959e9dcaed565cbb9bd27ffe02c4860425cf136afce658746c

Observation a3209cb2-f9d5-4da4-b330-5c1d4a935022 · outbound

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

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.557070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.557070Z digest=sha256:9d8db698f8dab79c25a7af95e0faaa7254acfdc4f86efa2e7b2b33ed66d965f8

Observation 0c09a16e-0c3f-4bf9-a70e-a52ad40f3a53 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.560875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.560875Z digest=sha256:cfa4c16de2196eff004b0d90e5a90c63f7474d86aded4c3fbeabb0d1f4e4ea31

Observation d7348bda-a1b0-46a0-ae12-4c3055b0e81a · outbound

This paper cites DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.565717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.565717Z digest=sha256:0aa90f7b604cf9078837f4bd9e57e4b49240b9530b56097af1ae4c5b002fd00a

Observation dda165a8-2002-45fd-9aa7-b572a9c97e87 · outbound

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

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner StarCoder: may the source be with you!

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.570403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.570403Z digest=sha256:07f2b20b28920b9f16dfd080b8c3b060b2bed45324b5689619d2c1a7d5f1390d

Observation 8e9ec177-bc41-4190-965b-3f7ff071d622 · outbound

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

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions

Reference 25

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unresolved
no resolver link, observed 2026-08-07T05:01:08.574502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.574502Z digest=sha256:9d46f97c84b3c03de1793d26d527bb9c8227d41783579cdd8200dfd3bfdc7515

Observation 5362c7ad-8228-4eeb-84af-ea06d5f878fa · outbound

This paper cites DeepSeek-V3 Technical Report.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner DeepSeek-V3 Technical Report

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.579099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.579099Z digest=sha256:3d934689fdd950f6b93aa1289d697248b4838d69f99a93bcd2a629c5f5015fa2

Observation f91b6487-e940-4a96-915a-0d6f1ab6685d · outbound

This paper cites Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.583838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.583838Z digest=sha256:b0159a9852a803a2a0bf7d19d1314350d77ed6a874b7bf8c017a0d14d85fba75

Observation 47934f7e-c1cd-42be-b749-fceb4817747d · outbound

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

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner M2rc-Eval: Massively Multilingual Repository-level Code Completion Evaluation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.588208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.588208Z digest=sha256:d5dfb0c7744f47348c1e1959d5b731057194ff77e13687452501f9f0da39d18b

Observation e820ebc9-02f7-4f03-9e2e-341cfad81572 · outbound

This paper cites MdEval: Massively Multilingual Code Debugging.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner MdEval: Massively Multilingual Code Debugging

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.596608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.596608Z digest=sha256:f76dfb473e77315ffcb98ace2ee47524f1ec0a0a007c6f02616452dce24bd8d7

Observation 98f65e04-4ae3-49c3-be04-df13f0e485d8 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner StarCoder 2 and The Stack v2: The Next Generation

Reference 31

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unresolved
no resolver link, observed 2026-08-07T05:01:08.600565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.600565Z digest=sha256:bf0a6cf4d12203c05f8f9a514735bde81485785d7d4b814a3fee870789e9e2e7

Observation 4c12e9db-3e82-4596-930b-cbf459d54d98 · outbound

This paper cites K., Fu, S., and LIU, S.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner K., Fu, S., and LIU, S

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:09.693244Z

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.

source=arxiv_source observed=2026-08-07T05:01:08.604486Z digest=sha256:d04452b1e59ed5e4dd72f77db078898f22799fe1cfd2500f34bfbaae9f9c7dba

Observation 9c917e05-0e44-4d2a-b72d-a182766905a0 · outbound

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

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Reference 33

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unresolved
no resolver link, observed 2026-08-07T05:01:08.608475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.608475Z digest=sha256:0836b7fd016175723ae4d7342b3983c428eaf09c352d82d7b92055c321f327d6

Observation c9ba37a4-a554-498f-a5ac-7b4747fec391 · outbound

This paper cites Training language models to follow instructions with human feedback.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Training language models to follow instructions with human feedback

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:09.659091Z

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.

source=arxiv_source observed=2026-08-07T05:01:08.613596Z digest=sha256:886bcb5b7204c28c386848f3e6863b4b5910a31f6a3c82627a48b2994d31e72d

Observation 0ca40508-c6f8-4201-b992-0701c9f244cf · outbound

This paper cites L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., Schulman, J., Hilton, J., Kelton, F., Miller, L., Simens, M., Askell, A., Welinder, P., Christiano, P.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., Schulman, J., Hilton, J., Kelton, F., Miller, L., Simens, M., Askell, A., Welinder, P., Christiano, P

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:09.627162Z

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.

source=arxiv_source observed=2026-08-07T05:01:08.617756Z digest=sha256:6dce9e56ad5261e331f9ae689a32648689d18c8a42b9024e96b4030c875bb24a

Observation 7b6650e9-34c6-452e-848c-6b2b2fdb50fd · outbound

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

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Training Software Engineering Agents and Verifiers with SWE-Gym

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.621436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.621436Z digest=sha256:3b4a7ce1ef329c0903e4e07a903d7d3c6a048fe03a625267f1c29a0cc7a65e28

Observation 75d28364-3e0a-44c2-995d-e97a0f75fa7a · outbound

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

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Code Llama: Open Foundation Models for Code

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.625719Z digest=sha256:8bf6770e3e74fc433f20a22cb879acf80c97133b921b46e86da7a322ba944c19

Observation 7d6b3e52-5b3a-48ea-b89f-5e039b97a1f4 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Toolformer: Language models can teach themselves to use tools

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:09.592384Z

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.

source=arxiv_source observed=2026-08-07T05:01:08.629824Z digest=sha256:89ffa26798fd0b34b8074e085078849357768b1e87f7eaf426d193130bcf1891

Observation 5c273352-3931-4d6b-a04f-e62ca35e70f5 · outbound

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

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 39

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no resolver link, observed 2026-08-07T05:01:08.633430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.633430Z digest=sha256:9ce61db66c4abf62ebdc2c7c74271a18bf1f400d498d1f153044414beda0209d

Observation 794b2ab7-43e2-47bb-80f0-83534dfd3a17 · outbound

This paper cites TableGPT2: A Large Multimodal Model with Tabular Data Integration.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 40

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no resolver link, observed 2026-08-07T05:01:08.638594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.638594Z digest=sha256:2c1b3f2d942d606f3e64321c0d7602b755f74921408d39d8297948b9ba2aa26c

Observation e8e6fe4b-d594-4d1c-8b7f-71d291424192 · outbound

This paper cites Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.642941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.642941Z digest=sha256:cdb2d59e39b9dc0ca33f5d835980566492468287e339d8148bf9a70949978887

Observation 3af6f564-9d0d-4f72-809b-94b0ff7f0bd3 · outbound

This paper cites Debugbench: Evaluating debugging capability of large language models.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Debugbench: Evaluating debugging capability of large language models

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:09.557352Z

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.

source=arxiv_source observed=2026-08-07T05:01:08.647532Z digest=sha256:8f26e5cd5abcf7ca071f6c8a8dc598e8ddaf5edf3861464d81d7f2d7e3aa62fe

Observation 3a8c69dc-d40b-43a2-af06-0dea281564c2 · outbound

This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 44

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no resolver link, observed 2026-08-07T05:01:08.657036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.657036Z digest=sha256:7ae456fc12062108f4c10b3f3957540b0ca08f3022cd17b0f32bb9055ffac7cf

Observation 27834aad-e56d-42c7-a195-ed415f2661c4 · outbound

This paper cites A., Khashabi, D., and Hajishirzi, H.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner A., Khashabi, D., and Hajishirzi, H

Reference 45

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no resolver link, observed 2026-08-07T05:01:08.660669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.660669Z digest=sha256:8e333251b68bb3c2a774966897f9f64fc3468c03341f3e9e23e58fe414bb4769

Observation a5549e19-d759-4218-8369-73cc2989c550 · outbound

This paper cites Magicoder: Empowering Code Generation with OSS-Instruct.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Magicoder: Empowering Code Generation with OSS-Instruct

Reference 46

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unresolved
no resolver link, observed 2026-08-07T05:01:08.664935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.664935Z digest=sha256:1f02044d60c3a4a3940f655cba6f01826d461281d1aa6328640a7149805e15d3

Observation f74edbeb-1443-4575-af5b-1076920d69ad · outbound

This paper cites TableBench: A Comprehensive and Complex Benchmark for Table Question Answering.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.669060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.669060Z digest=sha256:ee47c496e16ca07dee8ee0e08754b724c454d9df30919be91b42223531cc2775

Observation 0d1ae447-a3f6-4851-a7ff-e8cd65b88d32 · outbound

This paper cites Codetransocean: A comprehensive multilingual benchmark for code translation.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Codetransocean: A comprehensive multilingual benchmark for code translation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:09.525726Z

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.

source=arxiv_source observed=2026-08-07T05:01:08.673784Z digest=sha256:2ee68529755be6bbe2a95de2171dc6a2a19a520722227a410a2533e59c8560bc

Observation b7be68dc-f378-4dcd-9d5f-394b4a9ed41c · outbound

This paper cites Qwen2.5 Technical Report.

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

Reference 49

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unresolved
no resolver link, observed 2026-08-07T05:01:08.678098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.678098Z digest=sha256:d8ed5c24cf9bd0bf55288e9d90746c9a90b8d5c40c5da6251f560479ffa39e2d

Observation 2a55b4e8-1df3-486d-87aa-763c2bf346c5 · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.686435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.686435Z digest=sha256:e79d9cab53e8b4d9149b2957d5645b047f0e872dad5dd96acf84faa076e1341c

Observation 073c3344-a1c6-4959-97b2-6664f89ac870 · outbound

This paper cites Evaluating and Aligning CodeLLMs on Human Preference.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Evaluating and Aligning CodeLLMs on Human Preference

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.691383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.691383Z digest=sha256:fdd6f2773384f15446ed7c9a83ff1a260b80da606cf0b669e5a1247ec2c0344a

Observation 267cdb0a-3c8e-4631-ba20-2523a31c0a6d · outbound

This paper cites ExecRepoBench: Multi-level Executable Code Completion Evaluation.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner ExecRepoBench: Multi-level Executable Code Completion Evaluation

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.695802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.695802Z digest=sha256:f43cf6422ecd020b54bf195d8964a6df756450fe9f323bbb43c3baa2e7c59efa

Observation 6e60197e-b0f4-4a01-93aa-207df3377510 · outbound

This paper cites Codereval: A benchmark of pragmatic code generation with generative pre-trained models.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Codereval: A benchmark of pragmatic code generation with generative pre-trained models

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:09.492710Z

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.

source=arxiv_source observed=2026-08-07T05:01:08.700051Z digest=sha256:e1ae00ce053d63adb17a250c11f77a9f0bdb8695f0dc55a5eae274f44a0accb9

Observation 7e5aa239-4bdd-461f-976c-ee8b1f02ecd7 · outbound

This paper cites WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.704352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.704352Z digest=sha256:0b18df7e0dc9746188de80811c2970b7cd7e8ec0c4fecd15cb106f50b0ffc22e

Observation 295dbe90-c05c-4855-aa7c-1ee4b44d0b57 · outbound

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

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.709819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.709819Z digest=sha256:fb505d85a5a698dec9ae05e3d61b05afa18aa39b7312b6405a2e3ea3a7f3d735

Observation 62009d9d-bf2f-45f4-bc76-859803f2ea11 · outbound

This paper cites DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.713965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.713965Z digest=sha256:aef759e4ded7a49a4263a74b0cf3bcd87bcd7d769f7cf2d9d993307e3e248cc1

Observation 7c785dcf-a180-4fae-9823-0fcd29b61a77 · outbound

This paper cites LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.717994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.717994Z digest=sha256:7550959ce8fc9ea8d2714f9f830db68210357159230ef39c1a4bf9cc468cb377

Observation a3620268-48cc-49e8-ac2e-de0841a3d882 · outbound

This paper cites Naturalcodebench: Examining coding performance mismatch on humaneval and natural user queries.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Naturalcodebench: Examining coding performance mismatch on humaneval and natural user queries

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:09.456650Z

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.

source=arxiv_source observed=2026-08-07T05:01:08.722442Z digest=sha256:acfe7201eb011da8b04f555bfeae5b2a7ff558294cdb4a652cc8718218f4e2fc

Observation fbd5cac8-37fa-4c5d-895b-3dd6d16e92ac · outbound

This paper cites Commit0: Library Generation from Scratch.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Commit0: Library Generation from Scratch

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.726888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.726888Z digest=sha256:1f541679e902ebb330f633632aa322caf473dcef764e1991eb28a023f1ba152a

Observation 29638c0b-6a15-4651-b457-5c314976fef7 · outbound

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

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Reference 60

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unresolved
no resolver link, observed 2026-08-07T05:01:08.731421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.731421Z digest=sha256:0dfb1cdfbbb0109c7759dbf300b906e4cd8132986c853c2b1d227371e5d82843

Observation 1abd8736-f7dd-41b1-b3cb-ce42cf54afb0 · outbound

This paper cites write newline.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner write newline

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.735443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.735443Z digest=sha256:bc50faba3fd4506f20e481a27e8bcad14a476f3cc6a259c3efa1314903585988

Pith citing papers

Observation eb6a543c-bd24-466d-b4fd-af2563c2b9dd · inbound

SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories? cites this paper.

SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories? SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T16:54:59.035677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:54:59.035677Z digest=sha256:ca55e2225deb6ffe145a6c94006d120a731b4e68dcd5d414d39a5e8f90c1a2f9

Observation 9e6bcce1-20c6-48a1-8e19-34d221c68d52 · inbound

Is Agentic AI Ready for Real-World Hardware Engineering? A Deep Dive with Phoenix-bench cites this paper.

Is Agentic AI Ready for Real-World Hardware Engineering? A Deep Dive with Phoenix-bench SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:52:42.992829Z

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.

source=arxiv_source observed=2026-05-19T17:49:01.198956Z digest=sha256:d230df044b1d7e5668de6f08ea3615a9305285c773904f1d7871b64c09c2da9e

Observation 4f8f2d29-e9cb-42ee-82ad-a5a7250532cd · inbound

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier cites this paper.

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-03T08:57:48.267846Z

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.

source=arxiv_source observed=2026-06-27T10:36:09.211639Z digest=sha256:0495acd587045ccb47efa25719d401b872b2c434cf13b9823df508e4f6f54010