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Paper Citation Record · LEDGER

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

As of 21 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.200520Z digest=sha256:ec22cac49952d7f8121607658d6e312396cccce65677769f6a28def55b6c8709

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.220590Z digest=sha256:036ff5853b869cc6b21edbcc5a863da2bcd453427e5745c839c664b3b15f7544

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.226115Z digest=sha256:9f2c3171d7c3de6f98e54174ba3ae004540c79463824fa21926c4d0b70a1842a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.229790Z digest=sha256:1d16de4d29495a631f09eafbb47b923f996c73e58ef6753cc8e7dcbd69e50c95

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.233852Z digest=sha256:fca3ae06869f7a81c9ccaa4f88a7f8dede780bc614bdc4b3638ba228fa71ef72

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.237582Z digest=sha256:fce63f51b1a7db7aa5636537745a4deea19995b83b8566dc69dbef22e2d2c69c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.241730Z digest=sha256:0c131e2ec21b34d1d7112873ca82b757dc1c9a944ad728f64c47f6229d56e1bf

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.245297Z digest=sha256:dea2d0c083a51f7920b4586bdb16caaaf0a0c8b88de75b67e2e622487db67075

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.248944Z digest=sha256:47ab5033e64de57207447cc61799906b3a87322eb09927a9fc996a570cdee999

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.252554Z digest=sha256:a908a8554fbf54dedb12cd26fc01306c600561e7f693498c720a33194ba28112

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.255991Z digest=sha256:a9542e13b4027e8fd80d33dccddd84f7db6a29cb572d05e5b09a45861e3820e4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.259175Z digest=sha256:5a6986790fd2a60642f816a84045792d860ab52b155c782e2d9cbfe2736b8685

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.262453Z digest=sha256:2b1879a1d741d6b5c8e44042217e068f5d03e5f1d1e9d0efcd306626ed63bbc4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.265798Z digest=sha256:74506441b6bba8a3d8cd87e74da9ac13831029f4809d8d48b0defd6e1ca7a1e6

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.269410Z digest=sha256:8752c6596f33c15c77103571619c0fa1125c8f4902bff2af25b306340ad521e0

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.273510Z digest=sha256:b93f5e6ee88fe50dd05257c300ac71526aee8a74631cd9a948d195e966fd4390

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.277311Z digest=sha256:e196215cf9329a16d14b3cbc234c38709df92ceb66fba228536e532e216c9be0

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.280894Z digest=sha256:d6330d7280614c868baadcd38e7739dc0c24e0f090de0528b7853c0893e41f07

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.284332Z digest=sha256:50534b4a832b77a77cb0e8814f69c1cbcf8f136de4e07652829de8df4f929c3e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.295807Z digest=sha256:8e5da3f1bbd4602c0ccfb94c2925751607400afb1af070ecfa3169d7fff1e949

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.298960Z digest=sha256:66dc20546cdac8c0465692021730a3ea809a914f1980690faff9f4914b108f85

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.302243Z digest=sha256:e1f1cf837cecc340ba4e20d6100b0c0c63497b1ddae14f785dda950aded8c19d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.305604Z digest=sha256:9d9bccef2b38d6ce46e0921949da76af716ea2353b2e788183eaf5d3cf2cb215

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.308830Z digest=sha256:50db3f38139c6e875a99dc6513f8a58b3f15c5ef46865d1b44fe0bb87b550b61

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.311806Z digest=sha256:632aa4add75e826c7742d22d7f74d9bc5ba91ec4cfcafd714daa19a26b751720

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.314856Z digest=sha256:a23e2db07ca23e2b1f62de95be6911de10a6bf007860eed86acbc1351d0a999c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.327932Z digest=sha256:06dfd3d51a3b6ff87b651316df8ea302439b63de4ac60337f52e6ea29adbcb68

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.331020Z digest=sha256:d0ba9c1d71a2eb45547502ddf69abdd030d08aa0a46f25c745d1f178b9b76074

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.334167Z digest=sha256:b246ace6fec4e5d07f3ec438fe09587d5886e8354fbdd3405834a647d8cf13fb

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.337164Z digest=sha256:375e11b2996ef34445c788f0a12dabd3e21c9f70bbb39e647d45a757d0251604

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.340399Z digest=sha256:b9f1009bc2a73139845859c1e0a48b7bd2894ee6f1947cd1bd397054cc9ff5c9

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.343905Z digest=sha256:a36dc31f189ce1bcbfb034cd85c83eb78078419f23385acfcfbd9d31a128fd9e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.354064Z digest=sha256:4e417180c1d944eab40f9afd8a5ba2410ba2bfce4f03fdd216f5f83823788a0a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.357423Z digest=sha256:0eb2a6bfb969bc169848a16963be880c9f0ddfd0d52b74d1237a58d22cf6df7b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.361264Z digest=sha256:5bf16385257bf364cfe23ee0c23341efdbc9ec1871a52d13ca287a1d721313b3

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.364884Z digest=sha256:7f0bcdac912deff5f608cd187de4100f11c64545cef629b60b154d61af573cb5

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.368127Z digest=sha256:e9e4f988bd57565885ee7c942b0a572445aba5a62e69be25533190c9bdf7aac2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.372107Z digest=sha256:551d30942670650add997e407f499d4ff43abcb90762600b03180752cf26cb0f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.375621Z digest=sha256:aa21f7ceeca3ac290ebc151eddfb240530e3233bcf49bdd22dbbb984f409ce60

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.379353Z digest=sha256:7ad04168703e2a9969578d8c4fdba3dcb5ef15e3f757409db414c4f6749d977c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.382781Z digest=sha256:6a8f313d69ae29999052dcf8f92c5e9edd2308f69d7c521dc28e997d68bbcaf3

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:34:45.400393Z digest=sha256:1c385c32a77978425629a7c7d0a9385f926b2cf169e9463fb1e0f437bdfec36c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T11:42:04.849077Z digest=sha256:1b6a73d9cb86615728506a7be22d0d15c5ff203fb0236238055a859f1325d8bc