Paper Citation Record · LEDGER

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks

As of 19 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2505.00990.

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

pith.paper-citation-record.v1
2505.00990 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:33:29.400252Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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 2026-06-29T11:43:23.272204Z

Reference resolution

50 of 50 outbound references displayed

verified exact0
verified fuzzy32
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50ae78e6-d27f-49a7-8230-6f56193dce0a · outbound

This paper cites I know what you did last summer: an investigation of how developers spend their time.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks I know what you did last summer: an investigation of how developers spend their time

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:32.074047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6922f964-51e0-4f53-9336-49b25eee6660 · outbound

This paper cites an unresolved cited work.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:33:32.063840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2ed8c451-5269-4ba8-9a51-6f8cd0a99244 · outbound

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

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Hassan, Audris Mockus, Anand Sinha, and Naoyasu Ubayashi

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:32.002929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5e15d12c-8c3a-4e6a-a873-5c4b713653eb · outbound

This paper cites Graph autoencoder anomaly detection for e- commerce application by contextual integrating contrast with re- construction and complementarity.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Graph autoencoder anomaly detection for e- commerce application by contextual integrating contrast with re- construction and complementarity

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:31.779147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3acf70a5-64da-46b4-884a-7621d2f81355 · outbound

This paper cites Knowledge graph enhanced heterogeneous graph neural network for fake news detection.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Knowledge graph enhanced heterogeneous graph neural network for fake news detection

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:31.769487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cbd28eeb-bf07-4e96-814c-c6bbec668482 · outbound

This paper cites Anomaly detection with memory-augmented adversarial autoencoder networks for industry 5.0.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Anomaly detection with memory-augmented adversarial autoencoder networks for industry 5.0

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:31.759556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 57d980f9-bfa2-42d9-8c5b-82d9fce2b937 · outbound

This paper cites an unresolved cited work.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:33:31.748086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a6f8af32-e9f9-4075-aed3-0a798bbf5728 · outbound

This paper cites James Whitehead, and Yi Zhang.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks James Whitehead, and Yi Zhang

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:31.738845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bb0a4857-3b34-47ef-b180-4c0d4b1b3fd1 · outbound

This paper cites Hassan, and Shanping Li.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Hassan, and Shanping Li

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:31.728369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 69b476b7-14d0-43a3-ad48-5ef4e57f7607 · outbound

This paper cites an unresolved cited work.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:33:31.565156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 317f7a1e-0710-4f17-b7f5-7f0818043030 · outbound

This paper cites James Jr.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks James Jr

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:31.555941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6b2a0744-ac61-4343-a0b8-27c7b3582d29 · outbound

This paper cites an unresolved cited work.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:33:31.545124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7fe0bc21-4a2c-47a8-a0ba-310a83f811d7 · outbound

This paper cites When do changes induce fixes? ACM sigsoft software engineering notes , 30(4):1–5, 2005.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks When do changes induce fixes? ACM sigsoft software engineering notes , 30(4):1–5, 2005

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:31.535293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0a271729-110b-4baf-a34c-ba851680ce81 · outbound

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

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks The impact of refactoring changes on the szz algorithm: An empirical study

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:31.525032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d5d380e9-d363-49de-a60b-acba95576641 · outbound

This paper cites Neural szz algorithm.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Neural szz algorithm

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:31.437141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f43e4dad-75cb-4140-b005-1c10cb61e130 · outbound

This paper cites Mining heterogeneous information networks.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Mining heterogeneous information networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:31.246543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c7007bf8-3eee-4cb2-9211-e643aea52c02 · outbound

This paper cites Kipf, Peter Bloem, Rianne van·den Berg, Ivan Titov, and Max Welling.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Kipf, Peter Bloem, Rianne van·den Berg, Ivan Titov, and Max Welling

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:31.237043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1bf19c30-1d42-4aa3-9511-151870b38836 · outbound

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

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Exploring and exploiting the correlations between bug-inducing and bug-fixing commits

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:31.226559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8e8caa44-c7b3-415f-8478-740248cbd4a9 · outbound

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

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Regminer: Towards constructing a large regression dataset from code evolution history

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:31.216770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3e8e2bd6-fa4c-4e4c-b292-a97fc554641a · outbound

This paper cites Revisiting and improving szz implementations.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Revisiting and improving szz implementations

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:31.069116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a43986ad-848d-40d4-bd94-392aa7c9ae30 · outbound

This paper cites an unresolved cited work.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:33:30.853963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 563c89de-4fdf-4829-ac11-c15ee329d14c · outbound

This paper cites Ottenstein, and Joe D.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Ottenstein, and Joe D

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:30.793187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation faf787ad-78d9-40c4-9306-3162a0a6a680 · outbound

This paper cites an unresolved cited work.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:33:30.779787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 26ff3e7e-cd86-48cd-9c8d-eb926253cb82 · outbound

This paper cites Codebert: A pre-trained model for programming and natural languages.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Codebert: A pre-trained model for programming and natural languages

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:30.767957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ff466f1e-6a0b-4edf-9389-36ae78d3ffc7 · outbound

This paper cites Attention is all you need.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Attention is all you need

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:30.599929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 08d7d177-b58d-4203-a36c-4697a28b30e3 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:28.925771Z

Source-reported events for the cited work

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Observation 02795ece-257f-4671-a89f-59c579804831 · outbound

This paper cites ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:28.928817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83ca2b19-7f27-4dd2-9a0b-d7cfbc2e7d40 · outbound

This paper cites Semi-supervised classification with graph convolutional networks.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Semi-supervised classification with graph convolutional networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:30.446162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 891bdeb7-9596-46f3-8f95-88977b6e963a · outbound

This paper cites an unresolved cited work.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:33:30.435055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5ce8c8f-a896-489c-b32e-6ec8b9c63921 · outbound

This paper cites Scarselli, M.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Scarselli, M

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:30.423334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 913316fe-2931-4b48-ae61-909afdfa7cf7 · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Understanding the difficulty of training deep feedforward neural networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:30.409611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 84d504ba-4e76-40de-9a3f-4f36003afae9 · outbound

This paper cites an unresolved cited work.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:33:30.330554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8da4546a-b7f8-4400-ba47-78cdfafbf65b · outbound

This paper cites Focal Loss for Dense Object Detection.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Focal Loss for Dense Object Detection

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:29.047811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a39e70ad-47a6-485f-8169-5b4da311b9f3 · outbound

This paper cites Are automated debugging techniques actually helping programmers? In Proceedings of the 2011 International Symposium on Software Testing and Analysis , Jul 2011.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Are automated debugging techniques actually helping programmers? In Proceedings of the 2011 International Symposium on Software Testing and Analysis , Jul 2011

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:30.074575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8fcd067a-94b2-4da9-8481-c43e1b99e4b6 · outbound

This paper cites Speech recognition with deep recurrent neural networks.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Speech recognition with deep recurrent neural networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:30.062715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91f462d7-8f2e-4f24-8b59-18eaa2fdfc27 · outbound

This paper cites Locating the security patches for disclosed oss vulnerabilities with vulnerability-commit correlation ranking.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Locating the security patches for disclosed oss vulnerabilities with vulnerability-commit correlation ranking

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:30.050688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 38c2015a-9907-46e1-94d6-de0cb35f01d0 · outbound

This paper cites Estimation of prediction error by using k-fold cross-validation.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Estimation of prediction error by using k-fold cross-validation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:29.846817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9cf74c58-f5dc-4db2-b26d-e821afa883ec · outbound

This paper cites ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:29.244613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc696368-be9c-4091-9511-355b4e289b5a · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:29.248796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63b86bec-05c3-42f9-be5f-eb1c321d4141 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:29.252405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16b3ca45-037d-4ca7-a65d-f606bbe36bbd · outbound

This paper cites Graph Attention Networks , page 39–41.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Graph Attention Networks , page 39–41

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:29.694998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 54d26779-c387-4927-893a-36c6a6602687 · outbound

This paper cites Human pose prediction using interpretable graph convolutional network for smart home.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Human pose prediction using interpretable graph convolutional network for smart home

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:29.684202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 92ca41bb-7c21-40cb-89ba-18dbab7f82db · outbound

This paper cites Fcgcn: Feature correlation graph convolution network for few-shot individual identification.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Fcgcn: Feature correlation graph convolution network for few-shot individual identification

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:29.671813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f33de028-8592-494c-9fd5-f3bde81c0716 · outbound

This paper cites Relational Graph Attention Networks.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Relational Graph Attention Networks

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:29.267750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4fba6ce-ebf9-4fdd-a856-7a74c2e89695 · outbound

This paper cites DeeperGCN: All You Need to Train Deeper GCNs.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks DeeperGCN: All You Need to Train Deeper GCNs

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:29.270911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ce299a8-1989-42a2-88b1-bb52f7cf3498 · outbound

This paper cites Addressing imbalance in multi-label classification using weighted cross entropy loss function.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Addressing imbalance in multi-label classification using weighted cross entropy loss function

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:29.661518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 41c897ea-69da-4efb-a89f-18ef67e68298 · outbound

This paper cites Gradient harmonized single-stage detector.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Gradient harmonized single-stage detector

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:29.651091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c6ca4376-c8eb-4a0e-bbcf-bb73425d6f13 · outbound

This paper cites Binary cross entropy with deep learning technique for image classification.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Binary cross entropy with deep learning technique for image classification

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:29.280830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f6d226f-6a62-4878-9c28-d2c5b7d42f55 · outbound

This paper cites an unresolved cited work.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:33:29.637079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5217222e-44cb-4171-b2f9-a037d6a91975 · outbound

This paper cites Genprog: A generic method for automatic software repair.

Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks Genprog: A generic method for automatic software repair

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:29.626733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation f505c974-3682-4aa3-87ab-8126720ba45d · 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 Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:43:23.274509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.