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Paper Citation Record · LEDGER

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning

As of 23 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2505.01022.

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

pith.paper-citation-record.v1
2505.01022 v3

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:34:45.414075Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T11:42:04.849077Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T11:43:23.279797Z

Reference resolution

57 of 57 outbound references displayed

  • verified exact0
  • verified fuzzy41
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d223b68-0518-4867-a553-0c152262b366 · outbound

This paper cites Predicting crashing releases of mobile applications.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Predicting crashing releases of mobile applications

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.088897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.200520Z digest=sha256:c893465a5618037ac2fc109879ad6212ed8ec10be21fb02dbb0c1dace6f57f0d

Observation 3d216835-6fec-4c6c-b021-547c315efcf1 · outbound

This paper cites Hassan, Audris Mockus, Anand Sinha, and Naoyasu Ubayashi.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Hassan, Audris Mockus, Anand Sinha, and Naoyasu Ubayashi

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.079611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.220590Z digest=sha256:99dcb8e6c922a00ce1bd7da675a146a74655c22d8a12797b1502d224b18b972b

Observation 9a1869be-559a-461c-bd88-b44c5db51515 · outbound

This paper cites an unresolved cited work.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:34:46.069529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.226115Z digest=sha256:294fa1fefaa04b569a51bd333de16900f62e756437c669353c2678eb1e070dca

Observation e1a012b8-58cb-40ca-8e4a-d1d55d413745 · outbound

This paper cites Making fault localization in online service systems more actionable and interpretable.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Making fault localization in online service systems more actionable and interpretable

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.059889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.229790Z digest=sha256:996600b9532fb36ef34ef64312550545991a8f00451c3f47b776215dfe72e36b

Observation 20c90589-99cd-4944-85e1-8d7795546964 · outbound

This paper cites Benchmarking classification models for software defect prediction: A proposed framework and novel findings.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Benchmarking classification models for software defect prediction: A proposed framework and novel findings

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.049816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.233852Z digest=sha256:bd66ca8bbf1e2ee10a29e6f666175436d538887a660e788b8a86f47c4bcf28c3

Observation b3779377-ff80-4ed3-a893-7e132d21e7da · outbound

This paper cites Predicting faults using the complexity of code changes.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Predicting faults using the complexity of code changes

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.039289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.237582Z digest=sha256:de7f178603278b26084805a01b883a47127fb8749dbc57134bd928b2e4c035d6

Observation 75696df2-f447-40d7-a6a3-c3afbe6e8a06 · outbound

This paper cites Heterogeneous defect prediction.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Heterogeneous defect prediction

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.029037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.241730Z digest=sha256:77b732cb75a37a654ad2279f87b578de98be9dfd5d769c9d1c92a5abda648c22

Observation 6898a715-62a2-4647-b615-a744fe2e632f · outbound

This paper cites Hydra: Massively compositional model for cross-project defect prediction.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Hydra: Massively compositional model for cross-project defect prediction

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.018991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.245297Z digest=sha256:012872de3fd18b6170dbc1d0ba8da396c369e220cac18035e042a06b0d50ec47

Observation d8b5525a-44bb-4069-b21a-1087f6ac4eaa · outbound

This paper cites Deepjit: an end-to-end deep learning framework for just-in-time defect prediction.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Deepjit: an end-to-end deep learning framework for just-in-time defect prediction

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.007988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.248944Z digest=sha256:3f605e8856dd69544d805f96d59e051362baf36725d72d7c9ef1a275401e98ad

Observation 7011ef20-450e-4ea6-ae2a-4845ff1f7f75 · outbound

This paper cites When do changes induce fixes? ACM SIGSOFT Softw.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning When do changes induce fixes? ACM SIGSOFT Softw

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.997234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.252554Z digest=sha256:e35126628999625e968e2ef0c91c2953606c73f9e32c3454df41dbf0cda71105

Observation 23c393c3-2285-4699-86b5-397fd69fcf23 · outbound

This paper cites Automatic identification of bug-introducing changes.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Automatic identification of bug-introducing changes

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.985936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.255991Z digest=sha256:f681e4bb0ccdfde8d5c35552212951d2bf9ee106f1ad55553bfde35a61f3ac33

Observation 2a18be38-8386-4dd4-aaf1-4091b01863df · outbound

This paper cites A framework for evaluating the results of the szz approach for identifying bug-introducing changes.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning A framework for evaluating the results of the szz approach for identifying bug-introducing changes

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.975231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.259175Z digest=sha256:178fc003506bebf5b001cdc08a2f3e8e2f2763d3823da7fa4ed1e3ffb51569d7

Observation a0b9b41e-503f-46df-a4f7-6276ed8577ff · outbound

This paper cites The impact of refactoring changes on the szz algorithm: An empirical study.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning The impact of refactoring changes on the szz algorithm: An empirical study

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.964293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.262453Z digest=sha256:381edb2df3937319cb15ab8fcc934defa692ef65c18a5bdb2a2e4aad36288e9e

Observation 63b4b801-05b6-4454-8eb2-a565d2e8a431 · outbound

This paper cites On the nature of commits.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning On the nature of commits

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.953660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.265798Z digest=sha256:1a2d4479ee9305d39b5bfb4e31218361d60f6914531cd5d86bc00b3f1f2b3d8e

Observation 36c29dfe-eb83-445c-992c-bf993556b21d · outbound

This paper cites The impact of tangled code changes on defect prediction models.Empirical Software Engineering, 21:303–336, 2016.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning The impact of tangled code changes on defect prediction models.Empirical Software Engineering, 21:303–336, 2016

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.942234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.269410Z digest=sha256:e8bd6c6d558cdf4fa1911a4cd739367636c0b98f8d64d8b986c0ffb362a820c4

Observation f32c1f54-6a97-4c63-9349-ef9a5b8ef406 · outbound

This paper cites Neural szz algorithm.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Neural szz algorithm

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.931286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.273510Z digest=sha256:498c00c8556d2c08266231ea6d14bec88ba7f7b72937835dde751635ef8cb020

Observation 49d6be21-ab6c-48ba-811f-9ad710103201 · outbound

This paper cites Hierarchical semantic-aware neural code representa- tion.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Hierarchical semantic-aware neural code representa- tion

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.920816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.277311Z digest=sha256:51e4826df332d4e4166a5719c5761188f191d94787d41cf615c6f41c0d1e6bd2

Observation 6f2d0ce3-4ff4-43ab-8f95-64d8649526d7 · outbound

This paper cites Understanding semantic impact of source code changes: an empirical study, 2008.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Understanding semantic impact of source code changes: an empirical study, 2008

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.910230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.280894Z digest=sha256:b1ebe66d1a2accaa0e5352ffa49dc2ee644956431cda1e93b069db920dd98bca

Observation ee390916-34eb-4f6b-af16-1b46123e954a · outbound

This paper cites Line-level defect prediction by capturing code contexts with graph convolutional networks.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Line-level defect prediction by capturing code contexts with graph convolutional networks

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.896098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.284332Z digest=sha256:d6654e0eaec01041323dba27cb4fd0388ae8bd3ba566c4c283d93966776b4dd5

Observation f6cf4cb4-dcc0-41fc-ae8f-c1dd60a7a41d · outbound

This paper cites Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:45.288060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:34:45.288060Z digest=sha256:e04a61097129933a71ef16138e54b00584388db1b911ccd113e558c1044febd7

Observation 68f8d89a-5932-482d-9639-9d4d3ca46e37 · outbound

This paper cites Deeper insights into graph convolutional networks for semi-supervised learning.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Deeper insights into graph convolutional networks for semi-supervised learning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:45.292709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:34:45.292709Z digest=sha256:db2d107910256362489929099749d14a8f883fcb5ca02ac597edda44b32189f7

Observation e8adfbc3-fac9-473c-ba5a-09e0bd4b6fb1 · outbound

This paper cites https://github.com/hellojlg/RC_Detector, 2024.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning https://github.com/hellojlg/RC_Detector, 2024

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.875501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.295807Z digest=sha256:d3bd45b036ee07fe00fc9c3d5432c4b3093d18466eb52725ecb285de4156e7c9

Observation f74c123c-6b61-4e11-92b7-9b61afb649d3 · outbound

This paper cites Classifying software changes: Clean or buggy? IEEE Transactions on software engineering, 34(2):181–196, 2008.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Classifying software changes: Clean or buggy? IEEE Transactions on software engineering, 34(2):181–196, 2008

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.862514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.298960Z digest=sha256:92e673912a6f50e959f801a6ae3c5ea239898d0097f692c8550fedd9b22c53a1

Observation 230593bd-bc67-4a03-99a0-68bfb417c23e · outbound

This paper cites Cc2vec: Distributed representations of code changes.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Cc2vec: Distributed representations of code changes

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.849513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.302243Z digest=sha256:6b25645f0885aa5a41c170b368a9323ce3536feb530fc9335b346333b352e785

Observation a36a814d-f772-46af-9077-d65e4fd26bed · outbound

This paper cites Jitline: A simpler, better, faster, finer-grained just-in-time defect prediction.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Jitline: A simpler, better, faster, finer-grained just-in-time defect prediction

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.837451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.305604Z digest=sha256:a3ce2ebf4550e13073e1cf892846b757b770a254cb7bc0717f4c108a48ad2736

Observation eafbdc42-61fc-4ff5-86d6-0cf435854c78 · outbound

This paper cites Code comment inconsistency detection based on confidence learning.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Code comment inconsistency detection based on confidence learning

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.824086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.308830Z digest=sha256:cf1fd1d7b524bdce493d2ed6f631dc74ac06ded0b7ee9e14655985fd7066b4e8

Observation d8eba0a2-07ea-45ff-80f3-d237691ca9f5 · outbound

This paper cites Anomaly detection in streaming data using isolation forest.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Anomaly detection in streaming data using isolation forest

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.811721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.311806Z digest=sha256:c8e9857325e63a5c355f98fd834b54e34a3841d39dfc1dc9b55133fe97309fa5

Observation a13e54cc-8444-4750-9426-bf8c2796002e · outbound

This paper cites Context-based transfer learning for structuring fault localization and program repair automation.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Context-based transfer learning for structuring fault localization and program repair automation

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.799729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.314856Z digest=sha256:246e4af8a7517b7e99e41c8cc9cb4ebd857cecf63e035aaac8f56e38dbad1736

Observation c5122a5a-e1d7-4edc-ae1f-00fe7edd457b · outbound

This paper cites Attention is all you need.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Attention is all you need

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:45.318442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:34:45.318442Z digest=sha256:395231e47e7a23ea228fd1848bcb0cf13128bac311c8f3a808435b6abc9c82b4

Observation 575c255d-41c5-4d22-94a5-b67c1afff155 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:45.321536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:34:45.321536Z digest=sha256:a25cc075f1e2bcc880295cfb88e1081f4d4cf904be9593677e5964a37ee6e09c

Observation d27c25cc-e456-4fc3-801f-29f082d0838c · outbound

This paper cites From ranknet to lambdarank to lambdamart: An overview.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning From ranknet to lambdarank to lambdamart: An overview

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:45.324884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:34:45.324884Z digest=sha256:70725533f34099a68d033ecedf34315c4e6d2a8b156607a666cf0f3f90e9c43a

Observation 6e2985fa-ddf0-4c25-9212-ee3dde8236b9 · outbound

This paper cites https://javaparser.org/.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning https://javaparser.org/

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.770189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.327932Z digest=sha256:ba5487b91a1bf8ad72861b27b899a31e8bf7542798d4e9fea730e998ed6c9485

Observation 7584e9de-eeb8-48a6-bd71-5526512c761f · outbound

This paper cites Modeling and discovering vulnerabilities with code property graphs.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Modeling and discovering vulnerabilities with code property graphs

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.756646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.331020Z digest=sha256:e409b2474f30396aa5501881103c940e2f3c20245c73767d2399a5315cfe9d38

Observation ab13ec55-4f42-4fa5-b4d0-be7127dcfaf2 · outbound

This paper cites Control flow analysis.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Control flow analysis

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.744623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.334167Z digest=sha256:099c14e2d3b08022ed25656131dfc820d29ac3ec2fb732ee55faa7f97891b935

Observation 0cc38754-458b-4daa-aa9c-523405c85949 · outbound

This paper cites The program dependence graph and its use in optimization.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning The program dependence graph and its use in optimization

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.732530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.337164Z digest=sha256:bd94e2e7845def1b6d09dce698f934a40743d042a202818967660560992585bc

Observation 369eab27-a195-430e-a2cc-2bfefca18d8f · outbound

This paper cites Constructing the call graph of a program.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Constructing the call graph of a program

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.720596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.340399Z digest=sha256:000f0b19d33a1089d35eb930ff4c4ad7f0fc7fb7dcb42515aeb9588f92c93c2a

Observation 0bdf51da-c1e9-4f65-9632-41b33c75288c · outbound

This paper cites Fine-grained and accurate source code differencing.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Fine-grained and accurate source code differencing

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.708021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.343905Z digest=sha256:9fcaa16e8ded38d536b6a96cdccc0bc313c88333cfedf1bd6f7b70f3072f580a

Observation dea6f9df-15b5-4eac-9950-90a781fa3d4c · outbound

This paper cites Heterogeneous graph transformer.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Heterogeneous graph transformer

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:45.347244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:34:45.347244Z digest=sha256:afc02806b3093535d2c942eda9e3ddb09997a69506991a21bb9448a071c04653

Observation b5a1f71e-e0c6-46bb-b59d-a8deb6d3a5ba · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:45.350536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:34:45.350536Z digest=sha256:b82a69562c01fc0579e2e7abbd7a1704786066150a4e4daddf57b09697f18800

Observation 10dd71bb-478a-4e39-b20e-c12d0fb2b3a1 · outbound

This paper cites On application of learning to rank for e-commerce search.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning On application of learning to rank for e-commerce search

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.688383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.354064Z digest=sha256:d403a2b23e1ebe57579d82664389d2132a1d4d254206861a39ed9e8290adfda2

Observation 4b6f52f1-1887-4393-afa2-fc24019740f3 · outbound

This paper cites Yahoo! learning to rank challenge overview.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Yahoo! learning to rank challenge overview

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.677443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.357423Z digest=sha256:7c016ab9278659058ae4bf64fb5c8ce08a8ed2aa835dd4bd6a8f5e226aa5d483

Observation dcffdbc1-8a13-4902-a6a0-9fd86ba762f3 · outbound

This paper cites Adapting deep ranknet for personalized search.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Adapting deep ranknet for personalized search

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.665791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.361264Z digest=sha256:68ccf479da04836d0a5cd77fc168a4fb3e883f1183b20e0e254acf76057883d6

Observation 945ab1cf-6fcd-4722-a542-1ff760d160a9 · outbound

This paper cites Exploring and exploiting the correlations between bug-inducing and bug-fixing commits.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Exploring and exploiting the correlations between bug-inducing and bug-fixing commits

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.653757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.364884Z digest=sha256:d2ec156a3e742faa131266c59d5dc047e35ad5ef35085296359e9532989dab94

Observation 39f537fa-52b8-4ef9-8f94-e0398e361d59 · outbound

This paper cites Regminer: towards constructing a large regression dataset from code evolution history.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Regminer: towards constructing a large regression dataset from code evolution history

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.641112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.368127Z digest=sha256:df2c55ce5e488615e20dc7994458d847923416fd837770838bfcc6fa39ce6afe

Observation ceda5ceb-0f8c-4d7e-af2b-6089ce9d5d04 · outbound

This paper cites Revisiting and improving szz implementations.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Revisiting and improving szz implementations

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.629772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.372107Z digest=sha256:3a6c3cc35a579ee89ede13fd6b9a2b42edd977861077bd11a1954969aee214e7

Observation 096b4828-3b8c-49ec-82a3-88f847b0be6f · outbound

This paper cites Defects4j: A database of existing faults to enable controlled testing studies for java programs.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Defects4j: A database of existing faults to enable controlled testing studies for java programs

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.617985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.375621Z digest=sha256:ce2fc117934603d2c712f31ac3b560edc43774b05a7c5ef1de140ff96f68c05e

Observation 5e812283-17cb-4865-8cbc-e0403902f4c8 · outbound

This paper cites Estimation of prediction error by using k-fold cross-validation.Statistics and Computing, 21:137–146, 2011.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Estimation of prediction error by using k-fold cross-validation.Statistics and Computing, 21:137–146, 2011

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.605843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.379353Z digest=sha256:16d68b55393eede8a66c78650e7ac430e830ac1fc5ed9ac8c74b512673418bb3

Observation 752d52dd-cd9b-4fc9-9d92-94494dc2458b · outbound

This paper cites Data quality matters: A case study on data label correctness for security bug report prediction.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Data quality matters: A case study on data label correctness for security bug report prediction

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.593481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.382781Z digest=sha256:33d4ce89b7da9ae1379be93a1c6b94a5b7b1174fd99a87c674aac71801f2f623

Observation bc64a328-e325-4c5c-8133-cd96cbb64ff4 · outbound

This paper cites Long short-term memory.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Long short-term memory

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:45.385945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:34:45.385945Z digest=sha256:b903dec2eff1b2ec78bb6b3c799783db944ae93a76abad9d4b339bd5cdffc8a8

Observation 0c52f93d-241c-4f72-b1cd-7d68656beea9 · outbound

This paper cites Gate-variants of gated recurrent unit (gru) neural networks.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Gate-variants of gated recurrent unit (gru) neural networks

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:45.389288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:34:45.389288Z digest=sha256:1efe5854a6d6e556d98189b40ebbad373b40c8385e405aa6e1012529703a29f9

Observation 6c588ea5-9553-400d-85af-a3555732c594 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Neural Machine Translation by Jointly Learning to Align and Translate

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:45.392672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:34:45.392672Z digest=sha256:a57cd33de27bb1704a78d4551ecf3a776fc927869ab514a5a5c327c8e5b54a00

Observation 46b9b93f-cc4a-4341-a4ac-ee0eb380f725 · outbound

This paper cites Graph Attention Networks.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Graph Attention Networks

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:45.396529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:34:45.396529Z digest=sha256:e5d406c3e5a63938074ca891c61b4f303713fa46210635e730c07af7a99d0dfa

Observation 12f2c91a-f369-486f-aba8-17ba5f635a8c · outbound

This paper cites Skyformer: Remodel self-attention with gaussian kernel and nystr\" om method.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Skyformer: Remodel self-attention with gaussian kernel and nystr\" om method

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:45.565462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:34:45.400393Z digest=sha256:1b2d88398b39837c036eedbfc68fe5bb79abbc997f41a5d3676033865aa52969

Observation 7f7737c6-f6ee-4393-8758-2b049e51a0d0 · outbound

This paper cites Are sixteen heads really better than one?Advances in neural information processing systems, 32, 2019.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning Are sixteen heads really better than one?Advances in neural information processing systems, 32, 2019

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:45.403655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:34:45.403655Z digest=sha256:c85c909b0c2943109575159b5586f97e1bd19d96885987b8bb057c7e7c24b67e

Observation 411d1f29-84a8-4479-867c-d8a2c091e099 · outbound

This paper cites GraphCodeBERT: Pre-training Code Representations with Data Flow.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:45.407059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:34:45.407059Z digest=sha256:2e8c88088e00c4765535a72076962c8a26a84191e64e222ad9b246deee267b03

Observation c609da7a-0708-42dd-908c-26404637397a · outbound

This paper cites CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:45.410716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:34:45.410716Z digest=sha256:4c185c664a00ced065f592278df10803b6fb1937e21b8322711297209258bfe4

Observation cb95e66e-d5fe-48f2-a250-c89c8862eb21 · outbound

This paper cites UniXcoder: Unified Cross-Modal Pre-training for Code Representation.

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning UniXcoder: Unified Cross-Modal Pre-training for Code Representation

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:45.414075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:34:45.414075Z digest=sha256:4b8fa5c433f8436feb8515279a705b22ebc14b3ed8cfa48f5d4e2378bb171527

Pith citing papers

Observation cf3bee3e-e494-48df-86c0-608db8860141 · inbound

Confident Learning-based Network for Detecting Bug-Inducing Commits on SZZ with Noisy Labels cites this paper.

Confident Learning-based Network for Detecting Bug-Inducing Commits on SZZ with Noisy Labels Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-06-29T11:43:23.281593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T11:42:04.849077Z digest=sha256:ec9fd7c9040423ea9d47757a2877749ae989c7aad9ed16d00093eee36845e14a