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Paper Citation Record · LEDGER

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks

As of 19 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2506.18191.

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

pith.paper-citation-record.v1
2506.18191 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:58:13.359384Z

measured 57 of 57 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

  • verified exact3
  • verified fuzzy37
  • unresolved16
  • parse uncertain1
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2333e686-6b10-435f-be6e-54ff35f0e216 · outbound

This paper cites An interprocedural data flow analysis algorithm,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks An interprocedural data flow analysis algorithm,

Reference 1

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Source-reported events for the cited work

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Observation 61cf73d4-6871-4447-82f9-7ec2865f5ec7 · outbound

This paper cites Gprof: A call graph execution profiler,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Gprof: A call graph execution profiler,

Reference 2

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

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Observation 273a2bb7-5bfe-4512-912c-ec970ed80283 · outbound

This paper cites Classes of recursively enumerable sets and their decision problems,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Classes of recursively enumerable sets and their decision problems,

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 52b8f41e-783b-4df4-bc28-2689cebc9d0b · outbound

This paper cites Wala download — sourceforge.net.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Wala download — sourceforge.net

Reference 4

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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.

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Observation 8c2e57b1-688c-4612-a58d-e8df9bb2b0e7 · outbound

This paper cites Is javascript call graph extraction solved yet? a comparative study of static and dynamic tools,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Is javascript call graph extraction solved yet? a comparative study of static and dynamic tools,

Reference 5

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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.

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Observation b1d0d5ea-7f37-456b-93c5-93921776a3d5 · outbound

This paper cites Striking a balance: pruning false-positives from static call graphs,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Striking a balance: pruning false-positives from static call graphs,

Reference 6

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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.

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Observation 7ae871cb-8572-4ec2-a645-b233f53c1e15 · outbound

This paper cites Strictly declarative specification of sophisticated points-to analyses,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Strictly declarative specification of sophisticated points-to analyses,

Reference 7

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

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Observation 2117d853-1cd9-433f-a175-baf3d7a9f015 · outbound

This paper cites A user-guided approach to program analysis,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks A user-guided approach to program analysis,

Reference 8

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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.

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Observation a0748191-293f-4699-8008-e1937a73e869 · outbound

This paper cites Making k-object-sensitive pointer analysis more precise with still k-limiting,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Making k-object-sensitive pointer analysis more precise with still k-limiting,

Reference 9

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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.

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Observation 706ed209-8734-4d78-94de-41d7fa33bfa0 · outbound

This paper cites Autopruner: transformer-based call graph pruning,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Autopruner: transformer-based call graph pruning,

Reference 10

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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.

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Observation 5ba13906-bd58-43ee-9a67-0c175dbbd7f2 · outbound

This paper cites Static JavaScript call graphs: A comparative study,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Static JavaScript call graphs: A comparative study,

Reference 11

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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.

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Observation 4c0fa346-4ca3-4ae8-8935-afec701624e2 · outbound

This paper cites Automatic Root Cause Quantification for Missing Edges in JavaScript Call Graphs (Extended Version).

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Automatic Root Cause Quantification for Missing Edges in JavaScript Call Graphs (Extended Version)

Reference 12

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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.

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Observation 9c761bbf-66fa-48eb-a944-ed3a26e1305e · outbound

This paper cites code2vec: learning distributed representations of code,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks code2vec: learning distributed representations of code,

Reference 13

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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.

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Observation 4ff036bb-6eb0-4a03-b6c3-811956d74bac · outbound

This paper cites Structured Generative Models of Natural Source Code.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Structured Generative Models of Natural Source Code

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e7d31a32-238a-4239-a3d9-2fbdbff9ea45 · outbound

This paper cites A novel neural source code representation based on abstract syntax tree,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks A novel neural source code representation based on abstract syntax tree,

Reference 15

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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.

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Observation 255b8a90-f709-435b-bf4e-742721ffd2a3 · outbound

This paper cites Learning to Represent Programs with Graphs.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Learning to Represent Programs with Graphs

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 30eda3d4-27b8-4b9f-be26-7cc05a01b924 · outbound

This paper cites Neural Code Comprehension: A Learnable Representation of Code Semantics.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Neural Code Comprehension: A Learnable Representation of Code Semantics

Reference 17

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

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Observation 12792aa7-e0c3-47ce-8c37-6e85a20fabee · outbound

This paper cites VulDeePecker: A Deep Learning-Based System for Vulnerability Detection.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks VulDeePecker: A Deep Learning-Based System for Vulnerability Detection

Reference 18

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Observation 5b18e64b-f787-4e80-a192-2a87eba27b25 · outbound

This paper cites Deepsim: deep learning code functional simi- larity,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Deepsim: deep learning code functional simi- larity,

Reference 19

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

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Observation 8f31c015-5434-4652-a142-a434e56485e7 · outbound

This paper cites Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks

Reference 20

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Unavailable: canonical work link unavailable.

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Observation ad2c294a-8cf5-4a72-987a-0415a33c2f32 · outbound

This paper cites Tree-to-tree neural networks for program translation,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Tree-to-tree neural networks for program translation,

Reference 21

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

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Observation 172731dd-394c-45bb-bf76-b7b8784a281a · outbound

This paper cites Flow2vec: Value-flow-based precise code embedding,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Flow2vec: Value-flow-based precise code embedding,

Reference 22

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

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Observation 37c868e5-1d5a-45b4-97b3-339b1286ec6b · outbound

This paper cites Link prediction based on graph neural networks,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Link prediction based on graph neural networks,

Reference 23

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

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Observation 1edd7093-44d6-4843-8df5-618bb34986d8 · outbound

This paper cites an unresolved cited work.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Unresolved cited work

Reference 24

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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.

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Observation 541ace45-6027-46d3-bfe2-7b0b669cf9a2 · outbound

This paper cites Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

Reference 26

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Observation 6ba61c13-bef6-4d9b-a7c4-1650f125c540 · outbound

This paper cites Pytorch,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Pytorch,

Reference 27

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

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Observation fad565b5-5b85-415f-aadb-cdd75da0713e · outbound

This paper cites Benchmarking graph neural networks,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Benchmarking graph neural networks,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 43be715f-69f3-432e-8388-8096fb6675c6 · outbound

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Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks npm rank

Reference 29

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Source-reported events for the cited work

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Observation 9329646a-c2ee-40fc-8215-3ddaf4a816c1 · outbound

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Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Aletheia: Improving the usability of static security analysis,

Reference 30

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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.

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Observation 6c7f4ad6-54f1-45e9-9017-a65587a83895 · outbound

This paper cites Prioritizing alerts from multiple static analysis tools, using classification models,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Prioritizing alerts from multiple static analysis tools, using classification models,

Reference 31

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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.

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Observation e08b9d94-2397-4993-8c67-6a5fa6cd28b4 · outbound

This paper cites On the effectiveness of machine learning-based call graph pruning: An empirical study,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks On the effectiveness of machine learning-based call graph pruning: An empirical study,

Reference 32

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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.

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Observation 29d39a06-8fde-44d9-8a21-607001bd2f8d · outbound

This paper cites Typilus: Neural type hints,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Typilus: Neural type hints,

Reference 33

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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.

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Observation 67aaec7a-31da-485d-ad9f-3e624c71d0c3 · outbound

This paper cites Typewriter: Neural type prediction with search-based validation,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Typewriter: Neural type prediction with search-based validation,

Reference 34

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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.

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Observation 99b62656-deb5-49d4-a555-eacf085cc5e4 · outbound

This paper cites Deep learning type inference,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Deep learning type inference,

Reference 35

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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.

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Observation 8dd5f17f-d2ba-45cc-81e7-bd1ac8aea0b9 · outbound

This paper cites Static inference meets deep learning: a hybrid type inference approach for python,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Static inference meets deep learning: a hybrid type inference approach for python,

Reference 36

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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.

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Observation 732bab2f-62e9-4cac-aa3f-8704317113cf · outbound

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

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Reference 37

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unresolved
no resolver link, observed 2026-08-15T18:58:13.260694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:58:13.260694Z digest=sha256:7418eb7eaabf948154d0bfce6f332725147b38cb1a563ef64baefe3f49371259

Observation 3af26a0b-7635-43bd-ae6e-f6ad1e5ac463 · outbound

This paper cites On the naturalness of software,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks On the naturalness of software,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:58:13.845738Z

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.

source=pdf_text observed=2026-08-15T18:58:13.265597Z digest=sha256:a1ed23133c6f02712c67ffc9c2f2fd3956960fe2adef0c6ed3cccb2beb1ae0fb

Observation 1516d6a1-b194-460d-8475-ce63700450bd · outbound

This paper cites Code completion with statistical language models,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Code completion with statistical language models,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:58:13.831416Z

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.

source=pdf_text observed=2026-08-15T18:58:13.270961Z digest=sha256:29dcf030f5bf140c4d1e732d999fe704ba7cd6c18c7d35e36a29f7571bd340f7

Observation 22c0f488-a2f9-43af-993a-4a36f87309fb · outbound

This paper cites Pythia: Ai- assisted code completion system,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Pythia: Ai- assisted code completion system,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:58:13.815380Z

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.

source=pdf_text observed=2026-08-15T18:58:13.275694Z digest=sha256:5c92f2abd562c88fe1e63868c8438e0a2b2a3484c2a9e4c3ec5e477d7c962c5b

Observation 97315088-fef5-4adc-a793-4a3b44a8bf18 · outbound

This paper cites Oreo: Detection of clones in the twilight zone,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Oreo: Detection of clones in the twilight zone,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:58:13.799484Z

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.

source=pdf_text observed=2026-08-15T18:58:13.280248Z digest=sha256:6ac67f491a64078f48cb36b25a039876d8c865c9796b506ce3778963e831e5e3

Observation 462cb864-56b6-41ea-bf34-104237b43b2d · outbound

This paper cites Learning graph-based code representations for source-level functional similarity detection,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Learning graph-based code representations for source-level functional similarity detection,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:58:13.781469Z

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.

source=pdf_text observed=2026-08-15T18:58:13.284870Z digest=sha256:ab21f9fb4f9aa697f47ef09110f0a731fd6495c9e606fe04462b558d94ac7713

Observation b8b1910f-27dc-4798-9aa8-2e2b5c65dbd1 · outbound

This paper cites Sequencer: Sequence-to-sequence learning for end- to-end program repair,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Sequencer: Sequence-to-sequence learning for end- to-end program repair,

Reference 43

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unresolved
no resolver link, observed 2026-08-15T18:58:13.289668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:58:13.289668Z digest=sha256:56d23e93ff11be7ea35c008e1e0339d47475482174b5eb3e064a92b838813326

Observation 13c2ef28-4fd3-48b8-8848-ecb6b889156f · outbound

This paper cites Applying codebert for automated pro- gram repair of java simple bugs,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Applying codebert for automated pro- gram repair of java simple bugs,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:58:13.750710Z

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.

source=pdf_text observed=2026-08-15T18:58:13.294169Z digest=sha256:9be50ee44c96899344a0a654ce7cc55bc3433175e6617cf1f48f304c2e685237

Observation c1bc1dfd-41d3-4144-8ffb-f566752f55f0 · outbound

This paper cites Hoppity: Learning graph transformations to detect and fix bugs in programs,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Hoppity: Learning graph transformations to detect and fix bugs in programs,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:58:13.734284Z

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.

source=pdf_text observed=2026-08-15T18:58:13.298811Z digest=sha256:a8fe35b90b1d1e2ae46cbc97112366f96e594eb38fe49c718ab4ca142de86e51

Observation 667cdd97-db31-493b-8be6-e09527019310 · outbound

This paper cites Programl: Graph-based deep learning for program optimization and analysis,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Programl: Graph-based deep learning for program optimization and analysis,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:58:13.718100Z

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.

source=pdf_text observed=2026-08-15T18:58:13.303376Z digest=sha256:fbee3a560893460545b17d7a281f67d1b8b363724fee56b0569259bbe7194d3a

Observation 83efba84-e164-47f2-94c6-e0ca36c0ea2b · outbound

This paper cites Ffl: Fine-grained fault localization for student programs via syntactic and semantic reasoning,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Ffl: Fine-grained fault localization for student programs via syntactic and semantic reasoning,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:58:13.702286Z

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.

source=pdf_text observed=2026-08-15T18:58:13.308099Z digest=sha256:c85b93d51203e00e18bdad38f201d3174807ebbaca93becee8defecce3adbccc

Observation ff1063a1-4562-490b-ac60-3e8b31e6923f · outbound

This paper cites Boosting coverage-based fault localization via graph-based representation learning,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Boosting coverage-based fault localization via graph-based representation learning,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:58:13.686628Z

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.

source=pdf_text observed=2026-08-15T18:58:13.312732Z digest=sha256:bd8b5183b6512356c785b85eb794cc79103d12741a0ce6e0eb94f5284e576228

Observation 5bd99725-b4e9-4b30-8987-7c9d9d02606d · outbound

This paper cites Language mod- els are few-shot learners,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Language mod- els are few-shot learners,

Reference 49

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unresolved
no resolver link, observed 2026-08-15T18:58:13.317275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:58:13.317275Z digest=sha256:286f1af45aae05b36433c23a828c5b5bd8e43fceee00b8031682fc8e4fbbf418

Observation 6bfd84d0-9215-4288-867a-6fae48c3e4c1 · outbound

This paper cites A neural model for gener- ating natural language summaries of program subroutines,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks A neural model for gener- ating natural language summaries of program subroutines,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:58:13.660564Z

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.

source=pdf_text observed=2026-08-15T18:58:13.321628Z digest=sha256:c786dcf09be8079c7c0ab8352a9663e304972a1368e547b5b0ebb82cf765c930

Observation 92a7b6b8-36da-4d69-ba5a-e2c8c193c43a · outbound

This paper cites Vulcurator: a vulnerability-fixing commit detector,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Vulcurator: a vulnerability-fixing commit detector,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:58:13.645886Z

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.

source=pdf_text observed=2026-08-15T18:58:13.325881Z digest=sha256:42ea5e24325d269c2a93328fa6218c54d8dd4f4b29ea069f757f4a084d6ac2be

Observation df1a731a-3382-4a9f-92c6-715938044960 · outbound

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

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T18:58:13.329817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:58:13.329817Z digest=sha256:fe07b88fd08dcb132fbb0d83a059f544ece42ddadbd6399915b2cd430e90371e

Observation 90a25a0f-dfa4-4ee6-8ea9-c8c4f01abd7a · outbound

This paper cites SCELMo: Source Code Embeddings from Language Models.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks SCELMo: Source Code Embeddings from Language Models

Reference 53

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unresolved
no resolver link, observed 2026-08-15T18:58:13.334835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:58:13.334835Z digest=sha256:ebdadefdbfdbacd60f5341300be134c337d0f06b2a829d04feff0f3679bb9fd3

Observation 0a129cc6-c41b-4a20-ba89-37de406e928f · outbound

This paper cites Graphcodebert: Pre- training code representations with data flow,.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Graphcodebert: Pre- training code representations with data flow,

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T18:58:13.340124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:58:13.340124Z digest=sha256:3c6ad6c447a4c054fb21d6d880284efd0301bdb5e2d307a856f3b04c3f382ce8

Observation b51aacdb-e0d5-44d2-a597-1b420a78941a · outbound

This paper cites code2seq: Generating Sequences from Structured Representations of Code.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks code2seq: Generating Sequences from Structured Representations of Code

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T18:58:13.344842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:58:13.344842Z digest=sha256:e9475f7defdb59d0f444ce1ca50f81692ea8545a746965e91a07be38f095adc8

Observation 3deed642-142a-474c-9e5a-f1c67673d098 · outbound

This paper cites Structured Neural Summarization.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Structured Neural Summarization

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T18:58:13.349858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:58:13.349858Z digest=sha256:8d7a06fba9486d57cad1bc685fab3aa39cba3bd67a56d73011acce66903e5d91

Observation 16118558-98a9-4c5a-9688-d92b59ed9ea8 · outbound

This paper cites Generative Code Modeling with Graphs.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Generative Code Modeling with Graphs

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T18:58:13.354589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:58:13.354589Z digest=sha256:067a667641ea99e1546358be26171dfa04b4a11b53d216b291cc86975d775274

Observation 3761b29b-67bf-4463-98ef-7f76adfdbdb8 · outbound

This paper cites Learning to Represent Edits.

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks Learning to Represent Edits

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:58:13.401680Z

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.

source=pdf_text observed=2026-08-15T18:58:13.359384Z digest=sha256:6d50cc2eac2f4f18a3710265d878bfb7e15978112281ff626beea4a9001fcce0

Pith citing papers

No inbound Pith citation observations are available.