Pith. sign in

Paper Citation Record · LEDGER

GraphCodeBERT: Pre-training Code Representations with Data Flow

As of 7 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 89 inbound Pith citation observations for arXiv:2009.08366.

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

pith.paper-citation-record.v1
2009.08366 v4

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T08:46:10.892060Z

measured 124 of 124 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 89 of 89 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:57:27.814238Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T00:37:42.231015Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact19
  • verified fuzzy15
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df1626aa-c6d4-4c2f-8b0d-e0adfd8b25c8 · outbound

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

GraphCodeBERT: Pre-training Code Representations with Data Flow code2seq: Generating Sequences from Structured Representations of Code

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-15T08:46:10.972166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:8952d921bb3e5eb76b771e6a79f9c69ff4f496e6d327891be5d79d2d94f83eb3

Observation e20dd05d-e2a7-4258-89d2-acdbe9fcdc45 · outbound

This paper cites Structural language models of code.

GraphCodeBERT: Pre-training Code Representations with Data Flow Structural language models of code

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T08:46:10.995243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:20243ef1903af131daceb1560b5c092adbf58b020ed9fe343e70059ea5536d78

Observation 8e971bf0-d3cc-409b-8b7e-52b17836858b · outbound

This paper cites Generative Code Modeling with Graphs.

GraphCodeBERT: Pre-training Code Representations with Data Flow Generative Code Modeling with Graphs

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-15T08:46:10.946929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:e07f9f41931333d2ac9296add07df382f2243a8606746a86e00123fa1b3ea3fc

Observation 8b5fd20e-0bf0-4d5d-b041-19e0ffd58ff5 · outbound

This paper cites Exploring Software Naturalness through Neural Language Models.

GraphCodeBERT: Pre-training Code Representations with Data Flow Exploring Software Naturalness through Neural Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:10.976756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:a5a70e7b05821d62605f70242be8cd22899401ebf9b2a63d260b109b0e15fbfb

Observation 1b49d642-2e26-4269-b0f8-c73695ab149d · outbound

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

GraphCodeBERT: Pre-training Code Representations with Data Flow BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-15T08:46:10.980326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:01179393e6621ed9392da6faa37a1a841c8fe074e5e66fbe651650643aa39e2b

Observation b25086a6-2320-4a2d-802c-b8230e741b1b · outbound

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

GraphCodeBERT: Pre-training Code Representations with Data Flow CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-15T08:46:10.983585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:784dc613d92d65951a42fa59d60dbb92932325e1b3a88e0a6ec034aa02b80af7

Observation e9087a76-0d5a-4d34-a217-012b9327e163 · outbound

This paper cites Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing.

GraphCodeBERT: Pre-training Code Representations with Data Flow Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-15T08:46:10.917100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:af235853b9f58b911afad3cf44e68f4733a4d475e63d07e707836c0274b0e25d

Observation 2c362401-3a3c-4d41-89fd-2005c6f64c85 · outbound

This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

GraphCodeBERT: Pre-training Code Representations with Data Flow CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-15T08:46:10.929161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:eca2f3f9d36b1d871258f2595124d880586929b502bb08f8e6369e4d9f258c05

Observation d1a25560-9ae4-451b-aedd-a2ccb492c1a5 · outbound

This paper cites Learning and Evaluating Contextual Embedding of Source Code.

GraphCodeBERT: Pre-training Code Representations with Data Flow Learning and Evaluating Contextual Embedding of Source Code

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:10.942973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:eeec81ee8e69c9a5c3c37a247a9ab9af224273de6923c1da2d6548ef4081365b

Observation e7dd08bd-ec03-47e4-bc72-429e8e762b20 · outbound

This paper cites Phrase-based statistical translation of programming languages.

GraphCodeBERT: Pre-training Code Representations with Data Flow Phrase-based statistical translation of programming languages

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T08:46:10.998285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:50a5b3820601674545a5ff6cdb51bff3472b0104556632d7c39203cd217ad2b1

Observation bc309abf-a643-4e0b-8314-923642717e70 · outbound

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

GraphCodeBERT: Pre-training Code Representations with Data Flow SCELMo: Source Code Embeddings from Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:10.950927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:b2aeb6486e48ae06f9196bd0d83ac9ff1a23dbd37bc229fb985cbe1b97cf85fb

Observation 545ac8e9-fc88-4cf1-b2ab-5b362363e19d · outbound

This paper cites Code Prediction by Feeding Trees to Transformers.

GraphCodeBERT: Pre-training Code Representations with Data Flow Code Prediction by Feeding Trees to Transformers

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:10.955142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:94489a47659599ebb703aba992b7f7db55aee677d6dbefbabc5cf4faaeb7f954

Observation ecf557d0-f8d9-4833-99c4-af2397f12606 · outbound

This paper cites Cross-lingual Language Model Pretraining.

GraphCodeBERT: Pre-training Code Representations with Data Flow Cross-lingual Language Model Pretraining

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-15T08:46:10.959581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:04840ae6b10466c26e835c3fd616a97049f8b6d3ff3de4f57483606ff53deadf

Observation 2ebdc476-8806-4a9d-8288-320fd38b23e5 · outbound

This paper cites Code Completion with Neural Attention and Pointer Networks.

GraphCodeBERT: Pre-training Code Representations with Data Flow Code Completion with Neural Attention and Pointer Networks

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:10.964021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:07b215024cae3b3b12beae5ae5dbb2b68eb86204a8004ce209c13f3ddad18a59

Observation 97aec4ec-d04b-4848-8324-a1ea857a1996 · outbound

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

GraphCodeBERT: Pre-training Code Representations with Data Flow RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-15T08:46:10.968140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:f52fa4666f987f7c8c3e9656fb27ae5136ff2354c25a4c037afbddeba5cb7f9c

Observation 037c45d3-660c-4cc4-8374-9f6f28f920af · outbound

This paper cites Graph-based statistical language model for code.

GraphCodeBERT: Pre-training Code Representations with Data Flow Graph-based statistical language model for code

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T08:46:11.000872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:a0a4c1e28626c6f93fa91fe7e0ef9fab68e2e6d3c8f462344a9c6e61d7c1ccae

Observation 2ee31bf3-1ebc-443e-81ec-ccff70a62d7b · outbound

This paper cites Lexical statistical machine translation for language migration.

GraphCodeBERT: Pre-training Code Representations with Data Flow Lexical statistical machine translation for language migration

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T08:46:11.003109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:46c154ca053099e7b0d80c7416c13cb4355033002d49b554aa6afbc2eaba741e

Observation 38193445-1f28-46e9-940d-d14db44924b6 · outbound

This paper cites Divide-and-conquer approach for multi-phase statistical migration for source code (t).

GraphCodeBERT: Pre-training Code Representations with Data Flow Divide-and-conquer approach for multi-phase statistical migration for source code (t)

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T08:46:11.005382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:71bcd729965a0eca6d6ba8eb6e191e00c94c9cb6ef4d3f0abc076f1a7ea65836

Observation bf6b255b-6f06-4644-99f8-b0a4a2ce703b · outbound

This paper cites Deep contextualized word representations.

GraphCodeBERT: Pre-training Code Representations with Data Flow Deep contextualized word representations

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-15T08:46:10.987194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:c0e4668bcce9fe88a378597d2b57f240d479416a4c52da83daa704bc345a31e0

Observation b2450c44-d417-4794-9791-efc70403a623 · outbound

This paper cites Abstract Syntax Networks for Code Generation and Semantic Parsing.

GraphCodeBERT: Pre-training Code Representations with Data Flow Abstract Syntax Networks for Code Generation and Semantic Parsing

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-15T08:46:10.990330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:4e9afe4eee2d935a4f8c60bc53723906c407de48dc4b22efa9874e453e296ff4

Observation 2cd9b53c-f5bb-4a23-ae44-68a6086d2ee3 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

GraphCodeBERT: Pre-training Code Representations with Data Flow Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-15T08:46:10.912660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:ea4cdb0e6ec5c376871eb74c8f494d66b65576914390aee5f6504288fb25bff1

Observation b300410c-8951-410b-b57b-b3e3cb186e48 · outbound

This paper cites Towards a big data curated benchmark of inter-project code clones.

GraphCodeBERT: Pre-training Code Representations with Data Flow Towards a big data curated benchmark of inter-project code clones

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T08:46:11.007684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:90687db0c29d26041d9bcec923707a89dabf62a582d1233317a866a050ba0fa6

Observation 40e4eb8a-1ff5-4874-8650-a2046fd686c5 · outbound

This paper cites IntelliCode Compose: Code Generation Using Transformer.

GraphCodeBERT: Pre-training Code Representations with Data Flow IntelliCode Compose: Code Generation Using Transformer

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:10.920859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:a6dd5b9ac700c33ffc98e80e63212dab69d2bfde4896d145e5d503728d8f082d

Observation 139db131-b1f4-48b1-b4c6-14670e8ed3f6 · outbound

This paper cites Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree.

GraphCodeBERT: Pre-training Code Representations with Data Flow Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:10.924786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:1cb46d2d69a3e4fbf579b126a54fd00cd354e20d092c61e11f42c4ff5edf121a

Observation 9f8c5fd6-fcf0-4e45-ad1e-a2ae49c9ae78 · outbound

This paper cites Deep learning code fragments for code clone detection.

GraphCodeBERT: Pre-training Code Representations with Data Flow Deep learning code fragments for code clone detection

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T08:46:11.009905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:29c02fb28ac759b37940df66b5b66aad4e9c8a92fff0436c080e63b683b14034

Observation 98872b08-7138-4b25-a51b-78c352750e30 · outbound

This paper cites XLNet: Generalized Autoregressive Pretraining for Language Understanding.

GraphCodeBERT: Pre-training Code Representations with Data Flow XLNet: Generalized Autoregressive Pretraining for Language Understanding

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:29:27.629409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:ba21db0d8550b84b1ed187efa961eed5962e0ae52e8a6543101ff2d5f60b668f

Observation e755919f-8ad1-441c-be6d-3f09049962c2 · outbound

This paper cites A Syntactic Neural Model for General-Purpose Code Generation.

GraphCodeBERT: Pre-training Code Representations with Data Flow A Syntactic Neural Model for General-Purpose Code Generation

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T08:46:10.938370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:c7dbaf329f6fcf6c092abe0f43841cecdb25f8ce55d107f5743a7928edc0ff0c

Observation 7fd43237-b045-45c0-8073-2fd0de7bcd6c · outbound

This paper cites The dataset is the CodeSearchNet dataset 3 (Husain et al., 2019), which includes 2.3M functions with document pairs for six programming languages.

GraphCodeBERT: Pre-training Code Representations with Data Flow The dataset is the CodeSearchNet dataset 3 (Husain et al., 2019), which includes 2.3M functions with document pairs for six programming languages

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T08:46:11.012235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:e537447151b48acf3448512568ab93ffa6588f58673f6caa8ef2b5eca5a0836c

Observation 94ef3e72-7f23-4191-96c1-bd5762f06ea1 · outbound

This paper cites http://.

GraphCodeBERT: Pre-training Code Representations with Data Flow http://

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T08:46:11.014764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:5b47e937edbdc531c4602275bd28ae5e3545604e6b8989b0e3bf5c8c191f4cff

Observation faaa1f60-357c-486f-9125-00c14372daad · outbound

This paper cites (4) Examples whose query is empty or not written in English.

GraphCodeBERT: Pre-training Code Representations with Data Flow (4) Examples whose query is empty or not written in English

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T08:46:11.017234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:7b4ec5db980d301c630f685edf32a03fed92eb4639ca9fe0c90800023d1c8962

Observation 827a4bbb-7822-4d2f-89a2-d2279dd7c0c7 · outbound

This paper cites We also report the results using the same setting of Husain et al.

GraphCodeBERT: Pre-training Code Representations with Data Flow We also report the results using the same setting of Husain et al

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T08:46:11.019457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:b24355c9d3155efbfd92d8a1c9eddffd28eb7e4058fa0537bccf0b5fcaccaaca

Observation 51174002-1603-47ec-98d0-b7e5098c7b01 · outbound

This paper cites The results show that GraphCodeBERT also achieves the state-of-the-art performance.

GraphCodeBERT: Pre-training Code Representations with Data Flow The results show that GraphCodeBERT also achieves the state-of-the-art performance

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T08:46:11.021778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:1c43185283c9ee800aaeebcc0f1031cbb8cc5cdc0333b2d4f9ea72c4bc788c6f

Observation f81f3c67-9e13-4333-b8e3-9a104fdb36fd · outbound

This paper cites Therefore, two codes are semantically similar since they output similar results when given the same input.

GraphCodeBERT: Pre-training Code Representations with Data Flow Therefore, two codes are semantically similar since they output similar results when given the same input

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T08:46:11.024174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:db182c44ca50f9587f3bfd5fe8d7339f79dad579040e5ad7fa29dcc335141c91

Observation 531c559d-68a5-4ce9-ac16-981a94cf7817 · outbound

This paper cites boolean” to “bool.

GraphCodeBERT: Pre-training Code Representations with Data Flow boolean” to “bool

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T08:46:11.026683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:871f704bdf3fa267766cfca43f7ff4aebfdc502ae23acdeed905221e0a859970

Observation ca793ab8-d9ad-474f-b08f-36ea00f8290b · outbound

This paper cites http://kmttg.googlecode.com/svn/trunk/version.

GraphCodeBERT: Pre-training Code Representations with Data Flow http://kmttg.googlecode.com/svn/trunk/version

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T08:46:10.992902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:46:10.892060Z digest=sha256:eecacd826b60741cadc7cfaf2c581593c35b42d1401d8f1f73e3b858fb854575

Pith citing papers

Observation b9c2bc86-c7c5-43a1-a8a0-47fd606516bd · inbound

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis cites this paper.

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-14T20:01:14.492788Z digest=sha256:a182aa200452aba57a822ebad763db2f8f92bcc341896daf15cdc0ad73d75d8c

Observation ec23a89c-484a-43d2-b81b-b174330f317f · inbound

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

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:40:02.760046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:7d0e29df12949fea3a79fc2e3bf379d44f506b2984f8ad6714fe7b2d40277ec8

Observation e358898d-bef6-4731-bacc-578bb8b08348 · inbound

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs cites this paper.

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-24T08:14:10.343120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T08:11:01.612343Z digest=sha256:90ba7d22210803450ec956acfbcfbf92083ef8bf3cd7006996dd92af429ab4ef

Observation ab52ead3-7858-45c7-be35-c87dc53c657e · inbound

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation cites this paper.

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T03:58:45.824197Z digest=sha256:05c7549d892582178637bff4936731610a3234acd7acc10f1a071d4901e90ad7

Observation bfc9858b-6d95-4a37-abc7-97e5fe45bd78 · inbound

DeepFWI: Identifying Bug-Sensitive Warnings with Multi-Modal Code-Warning Semantics cites this paper.

DeepFWI: Identifying Bug-Sensitive Warnings with Multi-Modal Code-Warning Semantics GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-24T02:53:48.778623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T02:49:45.773698Z digest=sha256:56ea13a91c95265507ef28a8294e465a3155c228e84a3d81432f01fef9f19be3

Observation d5400df2-94f4-4e61-a83e-7283ec94b5fd · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:03363fe4318931a589668439fcea54ca751b368ca00db89cf8c02270d59ff575

Observation 57ed8913-bc05-49a2-ae2e-aa5c0c6a1762 · inbound

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? cites this paper.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.201445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:6540f4a80519a4bec88250e53a2aa7c7b23fbd349f92ee0a9c7364618598e346

Observation 283bf126-f9c7-4a71-8526-b48c4c5b272d · inbound

XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants cites this paper.

XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-22T23:57:17.136561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T23:55:14.887237Z digest=sha256:732e6cf44f2b642fd306946f544b69cb5198e8f14eff3dc25c1f487a4e2971db

Observation 47523e1f-85ea-43da-84eb-bd2b0397c942 · inbound

UntrustVul: An Automated Approach for Identifying Untrustworthy Alerts in Vulnerability Detection Models cites this paper.

UntrustVul: An Automated Approach for Identifying Untrustworthy Alerts in Vulnerability Detection Models GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-23T00:12:17.615732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T00:10:28.249790Z digest=sha256:31cb3cad6be2e720e3f870ce2ddbfb22922a85a38d1ee8f597de2b95214d7105

Observation 1be64b1f-8377-4f26-8de8-51b4622f8d77 · inbound

Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks cites this paper.

Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:57:27.814238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:57:27.814238Z digest=sha256:0b8e78fe1453563f383f300d014f1abf6dd9c8f60c1797bb9486b7f9d862c98c

Observation 64310e99-88aa-490d-a8bf-b811f66323cb · inbound

Adversarial Attack Classification and Robustness Testing for Large Language Models for Code cites this paper.

Adversarial Attack Classification and Robustness Testing for Large Language Models for Code GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:46.980199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:46.980199Z digest=sha256:188be8389c32532b4c6972f9b7f3410165bd257b839c33d0e92b51b39fdeafcc

Observation bc718b2a-1192-4bc1-8ce1-4f5dfc763c9f · inbound

Retrieval-Augmented Code Review Comment Generation cites this paper.

Retrieval-Augmented Code Review Comment Generation GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T04:08:52.096814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:08:52.096814Z digest=sha256:8179effc47b0e95987f552ff96fce506795208b20b3482cf76c7817380421e67

Observation 12876272-98d5-440d-89da-d00ab9ea7cef · inbound

I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution cites this paper.

I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T23:54:50.861406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:54:50.861406Z digest=sha256:36baf4f45e30b63e0e163fc58f10e7ca97e671e6e862bb76383a9728067d0a7d

Observation 0d1fcfc3-155e-4a13-9242-e2f366b46ead · inbound

FuncVul: An Effective Function Level Vulnerability Detection Model using LLM and Code Chunk cites this paper.

FuncVul: An Effective Function Level Vulnerability Detection Model using LLM and Code Chunk GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T23:13:30.726739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:13:30.726739Z digest=sha256:0aeb17a9ab644f295e5d93a9ec8ee65079412c29a14d456b8ab57daf0eb37b8f

Observation dd2d27a0-9dc0-4b72-82f9-7ee7c9936ab6 · inbound

Towards Generalized and Stealthy Watermarking for Generative Code Models cites this paper.

Towards Generalized and Stealthy Watermarking for Generative Code Models GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T22:45:37.277893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:45:37.277893Z digest=sha256:b37c86dba2cc0852545a8a439e61eb76fb94a6af9836c4ed1bbcaa690c266e2a

Observation 0c03aeff-35ad-4df6-8781-cef50c13757f · inbound

Improving vulnerability type prediction and line-level detection via adversarial training-based data augmentation and multi-task learning cites this paper.

Improving vulnerability type prediction and line-level detection via adversarial training-based data augmentation and multi-task learning GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:28.292903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:45:28.292903Z digest=sha256:ed16b8599158f4dd4d266ae13bb309c7f39c31658e96c934661539b28a3e570a

Observation de7cba3b-e59b-42fe-b552-9f9c8d951b86 · inbound

Enhancing RLHF with Human Gaze Modeling cites this paper.

Enhancing RLHF with Human Gaze Modeling GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T18:11:17.505853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:17.505853Z digest=sha256:dc1eaf254b25696c4f89a981d448aae0296e46df02eeb9be3077fa3aae23643f

Observation d6eee8e1-31b2-493a-b5da-b41f022a4734 · inbound

It Only Gets Worse: Revisiting DL-Based Vulnerability Detectors from a Practical Perspective cites this paper.

It Only Gets Worse: Revisiting DL-Based Vulnerability Detectors from a Practical Perspective GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T17:58:42.303641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:58:42.303641Z digest=sha256:cf43338f0d654597add87c731b736dbf39f8a0a18c70df2e97574c27a9a10e4c

Observation bacef916-8ff8-4e01-95d2-ff7010fa51bb · inbound

Modeling Code: Is Text All You Need? cites this paper.

Modeling Code: Is Text All You Need? GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:48.394215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:11:48.394215Z digest=sha256:0481ef90408e85131aa9075ed9fe4aa562b937445cee1ff3ce552d160f6a50b6

Observation 3eec540b-9549-4df6-884a-8256d6e06fcf · inbound

When Retriever Meets Generator: A Joint Model for Code Comment Generation cites this paper.

When Retriever Meets Generator: A Joint Model for Code Comment Generation GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T16:48:42.674175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:48:42.674175Z digest=sha256:73d2fedd97c8db90d998655e680c1ccc533a8fb11f418989d992738051890416

Observation ac541f8d-5b9e-46aa-9b8f-6828f8122644 · inbound

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells cites this paper.

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T16:47:55.412735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:47:55.412735Z digest=sha256:57d736fe16c0c72d11922cc027f3c1b21d8cbfbf9bd31bcf3e52bcf32e554316

Observation 0d56d1b4-bdcc-466c-a46b-47c1fdb68f4c · inbound

AlgoSimBench: Identifying Algorithmically Similar Problems for Competitive Programming cites this paper.

AlgoSimBench: Identifying Algorithmically Similar Problems for Competitive Programming GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T15:39:33.269168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:39:33.269168Z digest=sha256:55976c75b6110ebb922b8f5a62c3faa7eda8dff26ded747ce28ed7b5276b8eb7

Observation 196326bd-4b31-47ce-8a41-15127b23130f · inbound

VulCoCo: A Simple Yet Effective Method for Detecting Vulnerable Code Clones cites this paper.

VulCoCo: A Simple Yet Effective Method for Detecting Vulnerable Code Clones GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T15:10:12.433307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:10:12.433307Z digest=sha256:b0d25561171268c779f3d8e898803218cfcaf37e1cd695c11795ad3a88618eda

Observation 4d8f9685-eee9-4ca1-953a-a74a936f626a · inbound

CASPER: Contrastive Approach for Smart Ponzi Scheme Detecter with More Negative Samples cites this paper.

CASPER: Contrastive Approach for Smart Ponzi Scheme Detecter with More Negative Samples GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T16:12:15.197248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:12:15.197248Z digest=sha256:b5f4e0967370f0ae3b969c56e515357314b74b3c6683908524bc29ba6da58df0

Observation adf65e04-e253-4d68-a481-7bb08118c4f3 · inbound

Fine-Tuning Code Language Models to Detect Cross-Language Bugs cites this paper.

Fine-Tuning Code Language Models to Detect Cross-Language Bugs GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-19T02:42:56.393333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T02:42:12.245477Z digest=sha256:f7492380c9b27c690bd3e54f6902a69eb612dff82023c08c3d17a381fcd36c3e

Observation f472c5e7-7028-44b9-be0a-1788f1f12c33 · inbound

Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code cites this paper.

Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T00:01:55.818332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T00:01:42.228190Z digest=sha256:b01554dec6088f50b880254ec5d5a23bce14c21b8b99efe3600e4e490092ce22

Observation 855bd235-4f31-4394-a88d-358dc4283a29 · inbound

FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection cites this paper.

FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T16:24:28.164218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:24:28.164218Z digest=sha256:4005a26cb7995ef0a046359af0e0fcd56ebf2f435ec3fe8aa0aed48f510ad82c

Observation a731d825-6739-443a-9774-231c1f4d7a60 · inbound

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation cites this paper.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T16:10:53.422158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.422158Z digest=sha256:25fdd69032e96e548f78ec0e267579c5bbd66396e20c0ffd87b7b30c138b0b0b

Observation 5ac8c82f-583b-4883-ad4e-a262c37d6325 · inbound

Automated Repair of C Programs Using Large Language Models cites this paper.

Automated Repair of C Programs Using Large Language Models GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T12:05:30.443003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:05:30.443003Z digest=sha256:1c5830cae5ceef7aa552f7710212354cbf15789ec597519f5880c3ac61242216

Observation 702db533-1ec7-41f6-9598-2d482d3141ae · inbound

How Small Transformation Expose the Weakness of Semantic Similarity Measures cites this paper.

How Small Transformation Expose the Weakness of Semantic Similarity Measures GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T23:35:02.456778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:35:02.456778Z digest=sha256:2a0f9b2834ea13b88acf6848766ee6af4a6236c7c4e6570a352df6b06ca19dcf

Observation 1aadb0be-3c6b-4259-8275-994005e0ebba · inbound

PseudoBridge: Pseudo Code as the Bridge for Better Semantic and Logic Alignment in Code Retrieval cites this paper.

PseudoBridge: Pseudo Code as the Bridge for Better Semantic and Logic Alignment in Code Retrieval GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-21T22:44:24.499058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T22:40:50.221193Z digest=sha256:557c34f15ede3ac4faf7e300c1115a07105cdfa9abfe90e09fbbbeb498a7be17

Observation 7cb85c9e-355a-46db-a6c9-6edaa76b1a8b · inbound

Multi Language Models for On-the-Fly Syntax Highlighting cites this paper.

Multi Language Models for On-the-Fly Syntax Highlighting GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-18T10:36:15.263336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T10:35:53.773668Z digest=sha256:3b9a43a04538c0a6ed04c88e3797df8752b793e93372b9003dc777b01fdda181

Observation dc31ba3c-7ff8-47ea-bfd5-f1c6f5dd1ca1 · inbound

Context-Guided Decompilation: A Step Towards Re-executability cites this paper.

Context-Guided Decompilation: A Step Towards Re-executability GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-18T01:35:36.500940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T01:33:54.870931Z digest=sha256:8684c266862666d4936447939d0f34bd6eb557e779ba170c5471c41ae96dceeb

Observation b1c04354-8204-4b57-9ba7-448f9096d410 · inbound

A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher? cites this paper.

A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher? GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-17T23:50:31.817265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T23:45:54.490984Z digest=sha256:873c0a3daa405eb6120efa3f641b4543b7c24963bad7941227c2154cb9c0625c

Observation de2151cd-be48-41d9-a0f4-8cb5212fb215 · inbound

HYDRA: A Hybrid Heuristic-Guided Deep Representation Architecture for Predicting Latent Zero-Day Vulnerabilities in Patched Functions cites this paper.

HYDRA: A Hybrid Heuristic-Guided Deep Representation Architecture for Predicting Latent Zero-Day Vulnerabilities in Patched Functions GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-18T00:15:31.672900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T00:14:58.199928Z digest=sha256:7e3faa92029ef94f771cb945b4748cbddc01d09c3d2f0577d2bb9ebda0b89dfd

Observation 2bb98857-6c98-4425-9386-6da78e0c9d3d · inbound

From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection cites this paper.

From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T17:13:47.599046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:13:47.599046Z digest=sha256:32c40994c418ff219f8f7627dba8e6d09b7b45133766af8e768909128d079974

Observation e3f33aa7-fb6e-4840-9b7d-d050dcd36cf0 · inbound

Focus on What Matters: Fisher-Guided Adaptive Multimodal Fusion for Vulnerability Detection cites this paper.

Focus on What Matters: Fisher-Guided Adaptive Multimodal Fusion for Vulnerability Detection GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:28:14.746086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T18:24:58.614703Z digest=sha256:2617b977779b891d6600a75dbda89df3f0e4af10876484bbba6f85668b1c0fe2

Observation 2973ea67-ce0d-4700-b8fc-0f731da803b7 · inbound

SEER: Spectral Entropy Encoding of Roles for Context-Aware Attention-Based Design Pattern Detection cites this paper.

SEER: Spectral Entropy Encoding of Roles for Context-Aware Attention-Based Design Pattern Detection GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-05-16T12:57:53.760749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T12:56:36.550753Z digest=sha256:de8ffb04497fc8d64cb49c49b83ce119f4bdd1e3c54f85a3b2a09aadc072279e

Observation b4e96bad-61cb-4c9e-852c-a404c0ab99b4 · inbound

How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests cites this paper.

How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-16T11:07:48.285083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T11:05:46.470979Z digest=sha256:f26f297cc708adc4b4ad51a9e04a225b72ac6aba8c318777d59bef96b4373254

Observation 932ff3a1-d755-4d24-984f-3dca91625bab · inbound

Better Call Grep: Evaluating and Improving Grep-Like Lexical Retrieval for Repository-Level Code Completion cites this paper.

Better Call Grep: Evaluating and Improving Grep-Like Lexical Retrieval for Repository-Level Code Completion GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T06:14:25.595733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:14:25.595733Z digest=sha256:e9dae6f44dd6b0c664ff1bf1e0ce69287accb14f1bc02347ada34c2ae55385b7

Observation 5590bdfd-c051-4103-a69c-320a885fa131 · inbound

Social Life of Code: Modeling Evolution through Code Embedding and Opinion Dynamics cites this paper.

Social Life of Code: Modeling Evolution through Code Embedding and Opinion Dynamics GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-15T22:06:43.098794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T22:05:21.477864Z digest=sha256:0cd0cca8e3b28abcb5593b4021d580b1b657c4c52bc7f9a0e918ee5c1112c240

Observation c7d2cafe-5246-42f0-b12a-68b4126502fa · inbound

LoRA-MME: Multi-Model Ensemble of LoRA-Tuned Encoders for Code Comment Classification cites this paper.

LoRA-MME: Multi-Model Ensemble of LoRA-Tuned Encoders for Code Comment Classification GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-15T17:06:19.237154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T17:03:04.705363Z digest=sha256:482a1edfc59ef6ebeb816d654d32ab53e080035012bf0b4fd450b90a25164bec

Observation c0542c0b-7785-46b9-8d7d-39352e8694eb · inbound

Can You Trust the Vectors in Your Vector Database? Black-Hole Attack from Embedding Space Defects cites this paper.

Can You Trust the Vectors in Your Vector Database? Black-Hole Attack from Embedding Space Defects GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-13T09:24:57.072142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:24:57.072142Z digest=sha256:e467428fa5503782566ecf8dd4a8e942722190fececb6ac873b6d5a38780f787

Observation ec8c5df9-3f25-4a5b-b27b-3f1bc8506282 · inbound

On the Role of Fault Localization Context for LLM-Based Program Repair cites this paper.

On the Role of Fault Localization Context for LLM-Based Program Repair GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T19:56:16.066615Z digest=sha256:025677e718b3a3cff9cf59c776f399062cc2e8fa4fe42236d5fefa94b5683cc7

Observation 81b80853-00a2-4466-8604-2562e11c8645 · inbound

AFGNN: API Misuse Detection using Graph Neural Networks and Clustering cites this paper.

AFGNN: API Misuse Detection using Graph Neural Networks and Clustering GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:31:13.654133Z digest=sha256:6a2c2807c8a7a7884a6de206fbe2ccc0544c2b568d8c860ab168c12bd958fea1

Observation 71de69dc-6b29-4328-bb08-0440390fefde · inbound

DiffHLS: Differential Learning for High-Level Synthesis QoR Prediction with GNNs and LLM Code Embeddings cites this paper.

DiffHLS: Differential Learning for High-Level Synthesis QoR Prediction with GNNs and LLM Code Embeddings GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:57:15.908346Z digest=sha256:8316b80bd59f2419eef3d455398c82a8feb5b1015c322968400036b574f548da

Observation 411debfc-1f94-4608-aadf-5216a1e526aa · inbound

Verify Before You Fix: Agentic Execution Grounding for Trustworthy Cross-Language Code Analysis cites this paper.

Verify Before You Fix: Agentic Execution Grounding for Trustworthy Cross-Language Code Analysis GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:17:15.498744Z digest=sha256:1f6879b879337b5630043400a2c15b5eba2ee03b70ef1499dcd43b3b25521a2f

Observation 98e5df9d-455d-46fc-be2a-43bda9c92783 · inbound

Structural Anchors and Reasoning Fragility:Understanding CoT Robustness in LLM4Code cites this paper.

Structural Anchors and Reasoning Fragility:Understanding CoT Robustness in LLM4Code GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:18:42.321975Z digest=sha256:6b15b867457da227b60443e6a31e33a056af4593612d8e47dad09a77fc83ba8a

Observation 328d6338-4164-4bc0-ba44-ff35af6fb675 · inbound

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation cites this paper.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T13:00:56.512868Z digest=sha256:9af855e88c959876cd6e3418409dbb548718ccff661353ddcbb6c366e1443886

Observation fc3a6586-288d-4e7b-af88-668111a17d11 · inbound

Prompt-Driven Code Summarization: A Systematic Literature Review cites this paper.

Prompt-Driven Code Summarization: A Systematic Literature Review GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T11:35:12.299549Z digest=sha256:ee763690211957f0aae1acceb1fd5a7a73b33077c93b1bf768bec19b26b9440a

Observation 76ebebcf-d811-418d-8687-1ed238bdcf05 · inbound

Residual Risk Analysis in Benign Code: How Far Are We? A Multi-Model Semantic and Structural Similarity Approach cites this paper.

Residual Risk Analysis in Benign Code: How Far Are We? A Multi-Model Semantic and Structural Similarity Approach GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T23:30:14.280951Z digest=sha256:9c99482e78a57e75483fe6bd32a999b1c5d234b48aba6ed6cfa6a02587c6860d

Observation 956060c1-c77c-4386-8bf0-833d216fab3c · inbound

PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection cites this paper.

PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T16:05:56.166885Z digest=sha256:cc213188b955e3772ecb1c94df15719cfe6c37884b7b8b1e9ac820cdc9b75b98

Observation 7559ac05-a107-495d-880a-fd758b674276 · inbound

Learning Generalizable Multimodal Representations for Software Vulnerability Detection cites this paper.

Learning Generalizable Multimodal Representations for Software Vulnerability Detection GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T16:09:50.891071Z digest=sha256:1645f3dd4fb9c49aabcf9a5e52376f4884d85cea6afb72895c9a9c3b13fc509e

Observation ab93e232-3475-4255-92ef-3481141a0764 · inbound

VulStyle: A Multi-Modal Pre-Training for Code Stylometry-Augmented Vulnerability Detection cites this paper.

VulStyle: A Multi-Modal Pre-Training for Code Stylometry-Augmented Vulnerability Detection GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T13:30:01.879002Z digest=sha256:a38ead21b8fc36c838964173ba605e6bb90d28cd64757acd0ff463d584d2fc3d

Observation d0bcce19-92c8-4260-bd7e-a5cbed305ab2 · inbound

RepoDoc: A Knowledge Graph-Based Framework to Automatic Documentation Generation and Incremental Updates cites this paper.

RepoDoc: A Knowledge Graph-Based Framework to Automatic Documentation Generation and Incremental Updates GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T11:33:21.671482Z digest=sha256:3d0e4767a9917bbc2c1ed3b27fc4281f3bd603784d70079e61c331d539c05fa4

Observation 5b5eb93b-b764-433d-8a4f-cc38b153972d · inbound

Static Program Slicing Using Language Models With Dataflow-Aware Pretraining and Constrained Decoding cites this paper.

Static Program Slicing Using Language Models With Dataflow-Aware Pretraining and Constrained Decoding GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T16:51:17.870678Z digest=sha256:fa04328bbe6b6d45e3979476877b3d3c737f919f4cbec8e4fa41a95b94de4f34

Observation 5eb03ac0-6fa2-4774-b7a7-be5010dd356b · inbound

Static Program Slicing Using Language Models With Dataflow-Aware Pretraining and Constrained Decoding cites this paper.

Static Program Slicing Using Language Models With Dataflow-Aware Pretraining and Constrained Decoding GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T02:15:40.743186Z digest=sha256:fd6cb55eee4f86f16c7feb77eaf686358401f94df0747b9c1373225d5cef76d0

Observation e47e929d-8981-498f-a5ca-d71517ce763e · inbound

Evaluating Tool Cloning in Agentic-AI Ecosystems cites this paper.

Evaluating Tool Cloning in Agentic-AI Ecosystems GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T02:08:36.002509Z digest=sha256:65d01c48e74eab86ceb95ee127cef3e3d9efb91d3f87e379c311b45f96ed7023

Observation d777bd92-0190-456b-a945-8cbe3c95797d · inbound

Evaluating Tool Cloning in Agentic-AI Ecosystems cites this paper.

Evaluating Tool Cloning in Agentic-AI Ecosystems GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T22:33:48.638478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T22:30:13.109238Z digest=sha256:7a11ff2f1258ec0e2ced03c9b572648c69b6bd5c193d5fc1edd2ff2e5038290e

Observation 717e27b6-3d1e-4151-b690-54277ddad63d · inbound

DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization cites this paper.

DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T01:53:58.030471Z digest=sha256:a77f7cd12a008b99313bffe383adc1bbe31043c0a1f41ba6e9c8137403c5224d

Observation dae75978-88df-42f8-b2cc-ddef19e31b50 · inbound

NeuroFlake: A Neuro-Symbolic LLM Framework for Flaky Test Classification cites this paper.

NeuroFlake: A Neuro-Symbolic LLM Framework for Flaky Test Classification GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:46:11.027594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T02:10:26.021153Z digest=sha256:66f24258829d1721b61229c20ce23c4aa8cf8560b24081944c10194f66ee5065

Observation 801bbb89-7561-46c5-9015-d67b1fb9ecee · inbound

XSearch: Explainable Code Search via Concept-to-Code Alignment cites this paper.

XSearch: Explainable Code Search via Concept-to-Code Alignment GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-20T16:33:34.082410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T16:31:27.989614Z digest=sha256:3d1e1398cc48882f3fc21f6011b186ae6f0baed6cbd4d0220f1828a02a43b98b

Observation 47b82ca6-ebde-4b0c-96a1-85d6f6b9423f · inbound

XSearch: Explainable Code Search via Concept-to-Code Alignment cites this paper.

XSearch: Explainable Code Search via Concept-to-Code Alignment GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-07-04T00:59:19.042934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-04T00:55:50.772103Z digest=sha256:8613c5c13e554fbe43d93534451d88345b0ec0d12646261a92ee90238b88ed19

Observation 023a8103-e4b0-4293-877d-0bddb465366e · inbound

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics cites this paper.

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-20T14:28:21.429198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T14:25:15.565386Z digest=sha256:e19d7ad650121383566d8d0f1264a1aae7b3ab57ae58f44151a725aade272fa5

Observation 88a7bdd5-7f73-4197-a4b6-132806cd221a · inbound

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics cites this paper.

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-06-30T19:05:00.912158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T19:00:30.961402Z digest=sha256:fcce98816500b301f81736af95705c5fdef87817acfd68bf23d879f9119e0dde

Observation 3580ca0b-d753-4943-960b-d22dd01aabfc · inbound

Prompt Optimization for LLM Code Generation via Reinforcement Learning cites this paper.

Prompt Optimization for LLM Code Generation via Reinforcement Learning GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T08:53:10.327009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T08:49:36.986452Z digest=sha256:c48b99d655986eca7683b744253b1d59ec23bfeea3d9df1de65d0575fc756211

Observation 8712ec70-e9ec-4538-8843-1b4aa3d120ae · inbound

BioDefect: The First Dataset for Defect Detection in Bioinformatics Software cites this paper.

BioDefect: The First Dataset for Defect Detection in Bioinformatics Software GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:13:56.723772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T04:11:16.231567Z digest=sha256:1d54227cb11256c817cf24b8a18e8e808de0bcfbe155d7d87cb5e7869a30c751

Observation 0f3a2f0e-793b-4f07-ac73-fc2037efe39f · inbound

PromptAudit: Auditing Prompt Sensitivity in LLM-Based Vulnerability Detection cites this paper.

PromptAudit: Auditing Prompt Sensitivity in LLM-Based Vulnerability Detection GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-06-30T16:44:56.347473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T16:24:55.986340Z digest=sha256:efceb9f76fc16e62fdf2615fa910f4b792bee2408ae074e8120dcd549d705cf8

Observation 6e2dda2e-f91b-47a1-9b65-01eb3a58b4df · inbound

FusionVul: A Multimodal Feature Fusion Framework for Source Code Vulnerability Detection cites this paper.

FusionVul: A Multimodal Feature Fusion Framework for Source Code Vulnerability Detection GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T23:27:27.932256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T18:11:36.848823Z digest=sha256:5cddbe2ae53e3158e5ada082bb18e671e142cf087029b4dd086b9fea92c7cec2

Observation 8cf11ebb-e779-452b-b372-82798c12d034 · inbound

Beyond Pass Rate: A Multilingual, Execution-Grounded Evaluation of Open Code LLMs cites this paper.

Beyond Pass Rate: A Multilingual, Execution-Grounded Evaluation of Open Code LLMs GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-07-02T23:17:29.725263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T18:19:26.108492Z digest=sha256:5e1350242fea5a141c91ac34114c1543c2cd6eacaecf480994b7c908ac699500

Observation 128860df-ae9d-44d1-a841-d796493d0622 · inbound

CODEBLOCK: Learning to Supervise Code at the Right Granularity cites this paper.

CODEBLOCK: Learning to Supervise Code at the Right Granularity GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T08:17:45.505726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:52:00.147391Z digest=sha256:90b314d859e0bfbd00c8101b660e217a702f7c8a05b275d8c0c2970d1fb9db2d

Observation e880d426-5cb2-40e5-a569-085047cc78aa · inbound

Calibration Without Comprehension: Diagnosing the Limits of Fine-Tuning LLMs for Vulnerability Detection in Systems Software cites this paper.

Calibration Without Comprehension: Diagnosing the Limits of Fine-Tuning LLMs for Vulnerability Detection in Systems Software GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-07-04T04:29:35.043160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T16:59:07.712294Z digest=sha256:1344f977492587d1d6611cf0d0b3e0107e8c217f573ca00a23e73004195aa893

Observation 031bae81-ed78-4cb6-b952-403f00432e35 · inbound

ConcernBERT: Learning Responsibilities Using Class Membership cites this paper.

ConcernBERT: Learning Responsibilities Using Class Membership GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-07-04T07:29:38.761982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T13:26:48.359840Z digest=sha256:35006da317dce4620341a8920f128bd57aeaf8feda823de5e47856f14a3da459

Observation 0903ad7e-bd94-4eb9-b5ae-3a34957f2db1 · inbound

SemChunk-C: Semantic Segmentation for C Code cites this paper.

SemChunk-C: Semantic Segmentation for C Code GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-07-01T13:55:45.546956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T22:36:19.807806Z digest=sha256:02b19ad36e494b46f2f00dbdc0d4bd7a913ae1893e1f11e2a36fd4039dbec70d

Observation b3cfc9ad-2747-4559-bd85-e15d18a4c150 · inbound

JupOtter: Cell-Level Bug Detection in Jupyter Notebooks cites this paper.

JupOtter: Cell-Level Bug Detection in Jupyter Notebooks GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-04T12:19:49.717941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T07:01:37.301468Z digest=sha256:c76fae4f1392624aa19a8d7a5541942c706a6d716b74e3e036ba0e214e60320a

Observation 7c9650dd-3d6a-496c-a382-e8dd3020fcea · inbound

Semantic Code Clone Detection: Are We There Yet? cites this paper.

Semantic Code Clone Detection: Are We There Yet? GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-07-04T20:00:08.808949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-25T20:48:32.966076Z digest=sha256:d47413be71d98feeae8ced4fadfb05feb0e089654352c4fe6fa4332c6e9eb552

Observation e8600980-27da-484d-a5a6-5574eba1dfb3 · inbound

Test Case Selection for Deep Neural Networks: A Replication Study on LLMs for Code cites this paper.

Test Case Selection for Deep Neural Networks: A Replication Study on LLMs for Code GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-06-29T00:52:55.665452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T00:47:54.236329Z digest=sha256:e28fca7019024e60552b6d78707a3db331cb25805666d27f5730b08cd16a357e

Observation 5dffc899-4a45-458a-97b8-57a69681082c · inbound

UNICS: Multilingual Code Search via Unified Pseudocode and Contrastive Transfer Learning cites this paper.

UNICS: Multilingual Code Search via Unified Pseudocode and Contrastive Transfer Learning GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 21

Resolution
malformed identifier
local_arxiv, observed 2026-07-01T17:05:51.283347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T04:10:16.314596Z digest=sha256:14b706442629c400188291abad3978c3499e3d83bf893b45e943e1340a0ce288

Observation b25d3c1a-eafd-4b8d-8f80-46f39e19e85c · inbound

Humanizing Automatically Generated Unit Test Suites with LLM-Based Refactoring cites this paper.

Humanizing Automatically Generated Unit Test Suites with LLM-Based Refactoring GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-07-01T17:55:51.046740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T03:01:26.331966Z digest=sha256:77ef3c9819abb8e43a39cfd796cb2c33e69447dee6184ece8740cb9a87ce8c72

Observation e1bf0e79-ac8d-49dd-a9f0-99bf3177f49f · inbound

Humanizing Automatically Generated Unit Test Suites with LLM-Based Refactoring cites this paper.

Humanizing Automatically Generated Unit Test Suites with LLM-Based Refactoring GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-07-02T21:17:23.652205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T21:16:09.463677Z digest=sha256:a64dc32b8677392d8dd04e538f296512828b17ca349f6ce6fe6a341f0a204dfa

Observation a0bc453a-7cc6-45c3-8c85-0d8056b7088c · inbound

The Decomposition Is the Fingerprint: Per-Component Identity for Agent Skills cites this paper.

The Decomposition Is the Fingerprint: Per-Component Identity for Agent Skills GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-01T10:15:44.257351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T05:44:44.015852Z digest=sha256:19a509b8123ea4fc17e8019deb6398aaa86eccff6dafc6af0fc84cdde80cc747

Observation 245f10b8-17f8-4c0f-8bf7-8391ead4da74 · inbound

Large Language Models for Multi-Lingual Equivalent Mutant Detection: An Extended Empirical Study cites this paper.

Large Language Models for Multi-Lingual Equivalent Mutant Detection: An Extended Empirical Study GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-07-02T09:16:48.831255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T09:07:01.783340Z digest=sha256:6c93aa414c94a15cee7d0c3dbd8a6c4b483cf47d843ad7f066674802fb361b2c

Observation bef6a46c-2bc6-4f01-9cb7-6a70921b913c · inbound

LLM-Enhanced Hierarchical Heterogeneous Graph Representation Learning for Malicious Python Package Detection cites this paper.

LLM-Enhanced Hierarchical Heterogeneous Graph Representation Learning for Malicious Python Package Detection GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-12T03:06:24.801039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T03:06:24.801039Z digest=sha256:5371e26bf264cd465607774e7a59b43c5d91bd44ba40884798fb2dee98d142f5

Observation 05c4d2ac-f3ba-4345-acd2-8d3c1fb0e657 · inbound

Finetuning Lightweight LLMs for Control Flow Graph Generation cites this paper.

Finetuning Lightweight LLMs for Control Flow Graph Generation GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T16:55:02.189375Z digest=sha256:aed99bd8a1d2cd7790225c2a63f8079c0609da8eef869d4e183d7d4e6c06d76c

Observation be2c5ab1-f841-4543-b8a6-da5ceef5eb27 · inbound

Beyond Refusal: A Same-Lineage Study of Aligned and Abliterated LLMs for Vulnerability Analysis cites this paper.

Beyond Refusal: A Same-Lineage Study of Aligned and Abliterated LLMs for Vulnerability Analysis GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-07-08T23:05:44.249665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-08T23:00:45.841744Z digest=sha256:05f97d998a67525e90d8e8402637ea50d1653d2ade23b305a013dbceaf4d8278

Observation eff2e768-16ae-46ad-b2c8-c08924f92bf3 · inbound

XRFormer: Multiscale Tokenization for XRF Representation Learning cites this paper.

XRFormer: Multiscale Tokenization for XRF Representation Learning GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T00:37:42.253066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-11T00:34:22.775452Z digest=sha256:5aebf8f9f33b5c4ae20c5a87b223562bda35fb7c20c5217ed51c762e2872f478

Observation 6eb87d00-a927-494b-9ef1-639eb546020e · inbound

SynH-Rank: Quality-Aware Code Search via Diverse Data Synthesis and Hierarchical Ranking Training cites this paper.

SynH-Rank: Quality-Aware Code Search via Diverse Data Synthesis and Hierarchical Ranking Training GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T18:57:42.079080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:57:42.079080Z digest=sha256:7506b2bfed54a7cf31178fa6f0043dbf258a186bf5af9c1bd03e623b00b902b8

Observation 1e3ef9f9-850a-4100-9cd9-0832af33d44c · inbound

Enhancing Code Understanding for Impact Analysis by Combining Transformers and Program Dependence Graphs cites this paper.

Enhancing Code Understanding for Impact Analysis by Combining Transformers and Program Dependence Graphs GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-31T23:43:42.165041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:43:42.165041Z digest=sha256:e6fbd8b6d24eb865e6d675c40c12b8ec2f325d3d65ec6232dffb37e3451cd806

Observation d831f2d4-752d-41d0-b9e8-3a5a01efe27b · inbound

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization cites this paper.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T04:26:45.636263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:26:45.636263Z digest=sha256:1f5db350b74e8ca6ee797f7387c17731d952e103aa9d6aa7e913b27c68ce9dbe