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Paper Citation Record · LEDGER

Unit Test Case Generation with Transformers and Focal Context

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 37 inbound Pith citation observations for arXiv:2009.05617.

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

pith.paper-citation-record.v1
2009.05617 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:26:45.965944Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • metadata mismatch0

External citation measurements

8
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e561a5d5-d118-4f3b-8d96-ed506f5b98af · inbound

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation cites this paper.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unit Test Case Generation with Transformers and Focal Context

Reference 78

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arxiv_id, observed 2026-05-15T11:40:02.651468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:43cc78b9f8708843784ed8af1bd202abcdcc0d2d2a1e7fa7b5162bacb8205f07

Observation dfa44d95-3bb5-49da-ab00-b667b3aed1d7 · inbound

CodeT: Code Generation with Generated Tests cites this paper.

CodeT: Code Generation with Generated Tests Unit Test Case Generation with Transformers and Focal Context

Reference 13

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arxiv_id, observed 2026-05-15T23:55:14.757739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T23:55:14.711111Z digest=sha256:7ec7260ad814f6759eb58858ae907b3cc8c86c028fa386e75970b25c20056208

Observation 80f5eba1-24bc-4c29-b130-82e4520d316b · inbound

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

StarCoder: may the source be with you! Unit Test Case Generation with Transformers and Focal Context

Reference 187

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arxiv_id, observed 2026-05-10T23:33:00.299225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:8a3bd1cf818d65db8a8cfc95ccd65af24ecf1ae7cee4e7dc39a2c1c21d59fc73

Observation 69f46a6b-00d7-457a-9b17-45e1405e2276 · inbound

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology cites this paper.

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology Unit Test Case Generation with Transformers and Focal Context

Reference 51

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verified exact
arxiv_id, observed 2026-05-24T03:58:51.472964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T03:58:32.556725Z digest=sha256:835995a671e95054b5aac77147d16d0efbea0c2455121e6199e596d68771b2d2

Observation 61f63e1a-084d-4292-aeb0-06054821cb54 · inbound

AsserT5: Test Assertion Generation Using a Fine-Tuned Code Language Model cites this paper.

AsserT5: Test Assertion Generation Using a Fine-Tuned Code Language Model Unit Test Case Generation with Transformers and Focal Context

Reference 22

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no resolver link, observed 2026-08-09T11:26:45.965944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:26:45.965944Z digest=sha256:2303c65d91871b655c1551c6dd1996107e5b618d076ea7daac33d40e6d224123

Observation d2bb5847-e96a-4650-916a-8485d8617a98 · inbound

pyMethods2Test: A Dataset of Python Tests Mapped to Focal Methods cites this paper.

pyMethods2Test: A Dataset of Python Tests Mapped to Focal Methods Unit Test Case Generation with Transformers and Focal Context

Reference 16

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no resolver link, observed 2026-08-08T20:07:29.368435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:07:29.368435Z digest=sha256:d1b4755580ba1b2d0aaac39d61db863f1ed639eaaebf4ed52e1c45d2db2bcebc

Observation ebb79ddf-1a70-418f-9f57-6128893ddb9f · inbound

CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification cites this paper.

CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification Unit Test Case Generation with Transformers and Focal Context

Reference 32

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no resolver link, observed 2026-08-07T23:42:26.068366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:42:26.068366Z digest=sha256:02b939f64177ccc0fc04ff5ac2d83414944205af8c36d0f7b5280fef7a7d185a

Observation 441080ed-79e2-4393-b200-40efc524c6a5 · inbound

A Tool for Generating Exceptional Behavior Tests With Large Language Models cites this paper.

A Tool for Generating Exceptional Behavior Tests With Large Language Models Unit Test Case Generation with Transformers and Focal Context

Reference 36

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no resolver link, observed 2026-08-07T13:04:29.031949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:04:29.031949Z digest=sha256:a0745bfc1c08904746b9bcf59d2ada692b0733bf8c4f9531ceb2fa8915771257

Observation 01f43c59-c2da-4d6b-9dda-04efd20c74ff · inbound

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation cites this paper.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unit Test Case Generation with Transformers and Focal Context

Reference 22

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no resolver link, observed 2026-08-07T04:08:36.380094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:08:36.380094Z digest=sha256:acbb964c88187a20026a5f1f07eade81eef62fdd9f9612b507283354339cb921

Observation a362e75d-eb7b-4d96-a0fe-f4c181f31073 · inbound

Quality Assessment of Python Tests Generated by Large Language Models cites this paper.

Quality Assessment of Python Tests Generated by Large Language Models Unit Test Case Generation with Transformers and Focal Context

Reference 37

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no resolver link, observed 2026-08-07T00:22:56.344629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:22:56.344629Z digest=sha256:abf7897340e3c251c5977971c61020696ac8c01c98a8cde6d761dbc5e19fb12e

Observation 3704149f-abd9-4354-8797-c89fb96aa3d8 · inbound

Effective LLM Code Refinement via Property-Oriented and Structurally Minimal Feedback cites this paper.

Effective LLM Code Refinement via Property-Oriented and Structurally Minimal Feedback Unit Test Case Generation with Transformers and Focal Context

Reference 55

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arxiv_id, observed 2026-05-19T08:37:11.665580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T08:36:58.880345Z digest=sha256:70b1c81e19ca043886f611e83f09a799c4b96a9577954fb1117622552da1c011

Observation 4992c2f8-3f2e-4776-8b12-5395b6df2bd2 · inbound

Seed&Steer: Guiding Large Language Models with Compilable Prefix and Branch Signals for Unit Test Generation cites this paper.

Seed&Steer: Guiding Large Language Models with Compilable Prefix and Branch Signals for Unit Test Generation Unit Test Case Generation with Transformers and Focal Context

Reference 29

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no resolver link, observed 2026-08-06T14:57:26.330622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:57:26.330622Z digest=sha256:43f065c8a375feed2a9b07dbe508a1780b97210d42f8336fdb1b3d888636d73f

Observation b45df016-8c1e-4dec-abdf-7a81db9bbef7 · inbound

Generating Project-Specific Test Cases with Requirement Validation Intention cites this paper.

Generating Project-Specific Test Cases with Requirement Validation Intention Unit Test Case Generation with Transformers and Focal Context

Reference 49

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verified exact
arxiv_id, observed 2026-05-19T03:17:00.776061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T03:15:10.410454Z digest=sha256:bfb3a4c6e4b81c691aa9093baafde5158c51d149c08bf519bf9234bd9377345b

Observation a0474c49-1909-4ea4-b66e-6a6d70d602bd · inbound

Hamster: A Large-Scale Study and Characterization of Developer-Written Tests cites this paper.

Hamster: A Large-Scale Study and Characterization of Developer-Written Tests Unit Test Case Generation with Transformers and Focal Context

Reference 88

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no resolver link, observed 2026-08-04T13:35:41.866183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:35:41.866183Z digest=sha256:45d9dff61458d98d9956c80421e38d7dc26d4253fae133044c9ce1d18b389576

Observation 960335a0-9fe3-41de-b86a-850c04db48ae · inbound

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation cites this paper.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Unit Test Case Generation with Transformers and Focal Context

Reference 39

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no resolver link, observed 2026-08-03T21:41:45.018842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:41:45.018842Z digest=sha256:fc30664b0b0c1c85b0217a867913b853cce526fd72f53fac077a4e8bd753ed86

Observation 27d971da-d793-4d5b-9335-8bd676566afa · inbound

SAGE: Semantic-Aware Gray-Box Game Regression Testing with Large Language Models cites this paper.

SAGE: Semantic-Aware Gray-Box Game Regression Testing with Large Language Models Unit Test Case Generation with Transformers and Focal Context

Reference 20

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no resolver link, observed 2026-08-03T19:29:33.290066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:29:33.290066Z digest=sha256:25eeb7c56afdb92b1d63fcb0e760847f042dbf1e7ad2fc5ac4cea80bf3591167

Observation 19a72344-ed94-4974-95bd-36ac266237a0 · inbound

Compiling Large Multi-Modal Requirement Documents into Runnable Software Systems: From an Agentic Test-Driven Perspective cites this paper.

Compiling Large Multi-Modal Requirement Documents into Runnable Software Systems: From an Agentic Test-Driven Perspective Unit Test Case Generation with Transformers and Focal Context

Reference 60

Resolution
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no resolver link, observed 2026-08-02T23:31:16.765590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:31:16.765590Z digest=sha256:ce2289ab415161d97e129f922e51784f0b772170c23925e0d627aae6f9f8d286

Observation 6bf828a6-20dd-47af-9ad0-07404e8730fc · inbound

SpecMind: Cognitively Inspired, Interactive Multi-Turn Framework for Postcondition Inference cites this paper.

SpecMind: Cognitively Inspired, Interactive Multi-Turn Framework for Postcondition Inference Unit Test Case Generation with Transformers and Focal Context

Reference 315

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no resolver link, observed 2026-08-02T21:21:36.947026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:21:36.947026Z digest=sha256:fa6747c22a6a839cb2a64c5ff77f29c96ed41f975ac552de1b0fbdfd3f9055e1

Observation 43fecba5-2865-4bc4-af58-3d977b39eba9 · inbound

TestDecision: Sequential Test Suite Generation via Greedy Optimization and Reinforcement Learning cites this paper.

TestDecision: Sequential Test Suite Generation via Greedy Optimization and Reinforcement Learning Unit Test Case Generation with Transformers and Focal Context

Reference 55

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arxiv_id, observed 2026-05-13T21:38:18.776371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T21:36:14.478007Z digest=sha256:8f5e08f88807a6bf0c0a55aee11809c4136fe726c1c85c667efd569783e093c9

Observation de72fb62-fe36-4e6f-8d4a-84d2a790cf86 · inbound

An Iterative Test-and-Repair Framework for Competitive Code Generation cites this paper.

An Iterative Test-and-Repair Framework for Competitive Code Generation Unit Test Case Generation with Transformers and Focal Context

Reference 54

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verified exact
arxiv_id, observed 2026-05-10T22:35:48.607668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T19:44:32.950977Z digest=sha256:51713f3df4aba0f45c87b1fd7a058d7df145e8f956392bd06091a3eb650f0649

Observation 9213af63-d718-4071-8726-a44a8bf01ce1 · inbound

An Iterative Test-and-Repair Framework for Competitive Code Generation cites this paper.

An Iterative Test-and-Repair Framework for Competitive Code Generation Unit Test Case Generation with Transformers and Focal Context

Reference 56

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no resolver link, observed 2026-07-13T09:22:44.557413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:22:44.557413Z digest=sha256:f4acc9f7ce62200d7a041a38008b022308a7df146eaae35ec3464a0034aa9dfa

Observation 363a8ea4-4e07-4add-b688-d2e34067b10a · inbound

Enhancing Program Repair with Specification Guidance and Intermediate Behavioral Signals cites this paper.

Enhancing Program Repair with Specification Guidance and Intermediate Behavioral Signals Unit Test Case Generation with Transformers and Focal Context

Reference 40

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verified exact
arxiv_id, observed 2026-05-11T11:26:04.585404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T14:53:38.227540Z digest=sha256:b272b7f4a7d7bb9279af7cf553ac0c0fa6909ca5fd5f685a6eb55a5bc09a87a1

Observation 41395cc7-1851-4ed9-b0c6-89efc052026a · inbound

From Exploration to Specification: LLM-Based Property Generation for Mobile App Testing cites this paper.

From Exploration to Specification: LLM-Based Property Generation for Mobile App Testing Unit Test Case Generation with Transformers and Focal Context

Reference 58

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verified exact
arxiv_id, observed 2026-05-10T14:10:29.214716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T13:50:14.400046Z digest=sha256:8707d9d7ac82791dc630b7b0a03755fcfaa683b1b40e0deba6ab28acc3a34651

Observation 556020b2-7d2e-4bd2-87d8-b21416815c26 · inbound

Generalizing Test Cases for Comprehensive Test Scenario Coverage cites this paper.

Generalizing Test Cases for Comprehensive Test Scenario Coverage Unit Test Case Generation with Transformers and Focal Context

Reference 39

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arxiv_id, observed 2026-05-11T14:46:09.238527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T21:07:20.122491Z digest=sha256:f109f373cb4da9aa9496a45d5e1737173112eb0f308ccfcf252b4d686077bc18

Observation b2c85eec-20ce-42c9-b4e6-1610affa2306 · inbound

PPO guided Agentic Pipeline for Adaptive Prompt Selection and Test Case Generation cites this paper.

PPO guided Agentic Pipeline for Adaptive Prompt Selection and Test Case Generation Unit Test Case Generation with Transformers and Focal Context

Reference 23

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arxiv_id, observed 2026-05-11T15:46:39.805439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T19:17:56.164183Z digest=sha256:20d99cf3ebeb6c9973e639174e25cfaf49f0a149603dbf574f719f4a2cc8d5a9

Observation 47c57c74-38aa-43f9-a0da-c8458cb67047 · inbound

FeedbackLLM: Metadata driven Multi-Agentic Language Agnostic Test Case Generator with Evolving prompt and Coverage Feedback cites this paper.

FeedbackLLM: Metadata driven Multi-Agentic Language Agnostic Test Case Generator with Evolving prompt and Coverage Feedback Unit Test Case Generation with Transformers and Focal Context

Reference 24

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arxiv_id, observed 2026-05-11T16:46:07.805111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T15:04:59.096221Z digest=sha256:4f16a7861fc26299b614c052bdc4dd29abab6a135567eb83cf778d92c23ba123

Observation f15ecbde-612b-4e13-8eb3-68a10d745fa1 · inbound

Sakura: An Approach for Generating Complex Tests from Natural Language Test Descriptions cites this paper.

Sakura: An Approach for Generating Complex Tests from Natural Language Test Descriptions Unit Test Case Generation with Transformers and Focal Context

Reference 74

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verified exact
arxiv_id, observed 2026-06-28T18:42:29.416232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T18:40:49.564295Z digest=sha256:d12622c520a911bc43c22500506aba7472497d46be6a99703f4556133096f25a

Observation e889990a-a2f2-41ae-84b1-8e7a6c73473c · inbound

Sakura: An Approach for Generating Complex Tests from Natural Language Test Descriptions cites this paper.

Sakura: An Approach for Generating Complex Tests from Natural Language Test Descriptions Unit Test Case Generation with Transformers and Focal Context

Reference 74

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no resolver link, observed 2026-08-04T04:56:44.309506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:56:44.309506Z digest=sha256:6d51ec43d019872fdfbe16763714a2fca66ffb80ddcf5cff462245ed4865d08b

Observation f2180aea-9bfb-4910-9f12-3ce0b6447abb · inbound

Leveraging Large Language Models to Obscure Code Stylometry: A Comparative Study of GPT-3.5 and GPT-4 cites this paper.

Leveraging Large Language Models to Obscure Code Stylometry: A Comparative Study of GPT-3.5 and GPT-4 Unit Test Case Generation with Transformers and Focal Context

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:09:43.436419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T10:25:26.559161Z digest=sha256:c97d662c0e995bf918f9db08e497f4daa69b0083c55adf6b2b228e811e52d24b

Observation 31e64468-25e9-435b-8925-c9dd1c143a01 · inbound

TATG: Tracking-Aware Testing Objective for LLM-based Test Generation cites this paper.

TATG: Tracking-Aware Testing Objective for LLM-based Test Generation Unit Test Case Generation with Transformers and Focal Context

Reference 29

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no resolver link, observed 2026-07-12T04:13:54.470954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T04:13:54.470954Z digest=sha256:ae299f8f4b6dd5491c133360d70f219bd046a0a97e1f58b99b07fcd4a5ff6b3f

Observation 4032237a-4c66-4c9a-93f1-a3a0cef201f1 · inbound

Teaching Code LLMs to Reason with Intermediate Formal Specifications cites this paper.

Teaching Code LLMs to Reason with Intermediate Formal Specifications Unit Test Case Generation with Transformers and Focal Context

Reference 34

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no resolver link, observed 2026-07-11T20:47:20.640887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:47:20.640887Z digest=sha256:4b7c2d5b36c6656a9118267bab4af7bc6925411c84bec224d082a826e2e5886f

Observation d8b262c3-1f9d-45e3-a986-91bc255631ab · inbound

SCATE: Learning to Supervise Coding Agents for Cost-Effective Test Generation cites this paper.

SCATE: Learning to Supervise Coding Agents for Cost-Effective Test Generation Unit Test Case Generation with Transformers and Focal Context

Reference 40

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unresolved
no resolver link, observed 2026-07-13T01:15:01.090791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T01:15:01.090791Z digest=sha256:c308b2473f90b6b2bc100cd31e2c19e05bd9f353f48fe9de160066690efb2366

Observation df0a4b28-ea4b-41f8-ab34-c008fb48efc6 · inbound

Multi-Agent LLM Collaboration for Unit Test Generation via Human-Testing-Inspired Workflows cites this paper.

Multi-Agent LLM Collaboration for Unit Test Generation via Human-Testing-Inspired Workflows Unit Test Case Generation with Transformers and Focal Context

Reference 26

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no resolver link, observed 2026-07-13T05:24:45.090529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:24:45.090529Z digest=sha256:86c0d11149498fcb4b74c7f484b1c8b36e9d24175d2bb8f971d9c4ec55ce8037

Observation d06c5391-b8d0-4540-85ec-5d62305a1054 · inbound

ReProAgent: Tool-Augmented Multi-Stage Agentic Generation of Bug Reproduction Tests from Issue Reports cites this paper.

ReProAgent: Tool-Augmented Multi-Stage Agentic Generation of Bug Reproduction Tests from Issue Reports Unit Test Case Generation with Transformers and Focal Context

Reference 45

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no resolver link, observed 2026-07-13T05:15:19.862435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:15:19.862435Z digest=sha256:89f1dc62e110a4946af9cf67eef1cbe86518cabbc11c523690736aa3db8269b2

Observation 5409bb10-9d28-4739-b390-dc2469672848 · inbound

Quantize with Confidence? An Empirical Study of Quantization for Code Generation cites this paper.

Quantize with Confidence? An Empirical Study of Quantization for Code Generation Unit Test Case Generation with Transformers and Focal Context

Reference 6

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no resolver link, observed 2026-08-02T03:32:47.289669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:32:47.289669Z digest=sha256:8d1184cbc9ca22a06788ad5bdeaf2bd43f9f18931ef10f45709da2194e82e060

Observation 848e410e-9c67-44ab-a1a7-5d2b1421b3c7 · inbound

Context Matters: Improving the Practical Reliability of LLM-Based Unit Test Generation cites this paper.

Context Matters: Improving the Practical Reliability of LLM-Based Unit Test Generation Unit Test Case Generation with Transformers and Focal Context

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-01T12:07:42.751520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:07:42.751520Z digest=sha256:b35403c8b7f3ebbc2595a959bb143f2776e93420dd11ee8f5e4b005d41cde4f6

Observation 1f762324-ebcf-4ba5-838a-6ce47d8dbb65 · inbound

Agent-Based Test Assertion Generation via Diverse Perspective Aggregation cites this paper.

Agent-Based Test Assertion Generation via Diverse Perspective Aggregation Unit Test Case Generation with Transformers and Focal Context

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T22:54:22.589524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:54:22.589524Z digest=sha256:eda4130ab4d4a12ef2b3b19bf948d2e716653425b5f99c627a1c0107e9e6d093