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Paper Citation Record · LEDGER

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation

As of 9 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2508.18933.

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

pith.paper-citation-record.v1
2508.18933 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:10:53.532000Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

50 of 50 outbound references displayed

  • verified exact9
  • verified fuzzy2
  • unresolved39
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a8977c6-ca16-49e6-a3aa-2b44f4b9c75a · outbound

This paper cites , " * write output.state after.block = add.period write newline.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation , " * write output.state after.block = add.period write newline

Reference 1

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no resolver link, observed 2026-08-05T16:10:53.370762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.370762Z digest=sha256:6f46ea6cec2fa401fe30dccd0f18c7d19b2afbe7e348e239c655e148b3c877c4

Observation a316e8ea-b54b-4345-b5ed-fcac52b94584 · outbound

This paper cites write newline.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation write newline

Reference 2

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unresolved
no resolver link, observed 2026-08-05T16:10:53.375622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.375622Z digest=sha256:0943275d47650ea92b0a93c92ba88c9077c0702a64e4f9d82b0aa5c71b355a98

Observation a683d9e3-dd4b-4bb9-a44d-bf7bcf5a1e76 · outbound

This paper cites The Pragmatic Frames of Spurious Correlations in Machine Learning: Interpreting How and Why They Matter.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation The Pragmatic Frames of Spurious Correlations in Machine Learning: Interpreting How and Why They Matter

Reference 3

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verified exact
local_arxiv, observed 2026-08-05T16:10:53.953096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.379961Z digest=sha256:a88b2f3ef78467966a195ddb225c475affe4ae3cf3e15c43eb09fa4c0a0c61de

Observation 84c6da5b-206b-4608-8065-bf7ae48ed675 · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 4

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raw_fallback, observed 2026-08-05T16:10:54.146140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.383092Z digest=sha256:368d0a8573129f83b010c944ca32f6008beb7869ae1304d02e909287c810419d

Observation 1a0b1159-679b-4773-931b-c05b1404ff63 · outbound

This paper cites DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection

Reference 5

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no resolver link, observed 2026-08-05T16:10:53.386189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.386189Z digest=sha256:e6fb1edf4582ba38bda55a829844a5b16aa86dc24857cbde186970c0d25581f4

Observation bccaa0bd-88d0-4f51-bcac-50096fa6acd8 · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:54.137527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.389162Z digest=sha256:7fafbbca9076ce2c429c9dc031121fc2f69aedb4bdb41b8e4f7496844c9169ef

Observation 74ea0d1f-fbb1-4f80-ab02-e72adb708808 · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 7

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raw_fallback, observed 2026-08-05T16:10:54.129064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.392228Z digest=sha256:6745e56d9e59e851885f50b3230a9ca3cd7f89006d3b7af40e1f9f9accaf19f5

Observation c160e3ea-7fde-4a5c-bac1-f133bd45b41d · outbound

This paper cites Data Quality for Software Vulnerability Datasets.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Data Quality for Software Vulnerability Datasets

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:10:53.934459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.395515Z digest=sha256:c352e6008ac0777dab852d5021fc065171a6632f9ac575278480afc3181119d8

Observation f9a70c81-8523-4fc9-8854-1b73f417bfdc · outbound

This paper cites VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs

Reference 9

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no resolver link, observed 2026-08-05T16:10:53.400130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.400130Z digest=sha256:cdc333d6761c53a0c47eb28e38d70f6f801dd545f64997acf327bfa7f9f5a82e

Observation 8f2c6c52-170d-4f0f-bb23-015e70f992a2 · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 10

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no resolver link, observed 2026-08-05T16:10:53.403161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.403161Z digest=sha256:55ce4c05b4099e65f6f2f78984f2e2b7e338cbacce13398a98616360a822cf3e

Observation ee38fb9f-751a-4f48-b6fc-34c5fac89597 · outbound

This paper cites Vulnerability Detection with Code Language Models: How Far Are We?.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Vulnerability Detection with Code Language Models: How Far Are We?

Reference 11

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no resolver link, observed 2026-08-05T16:10:53.405897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.405897Z digest=sha256:ee3dcd5005c11c976ae6c82d2c77731eedd21eb77764f802858f05ee6461a129

Observation f805a97b-9dca-4411-9d0d-d99d96d4f070 · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 12

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raw_fallback, observed 2026-08-05T16:10:54.115136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.408689Z digest=sha256:80fd0505bce66e47b970b7c994d986542d6d30423b73ac687f62ef194849032d

Observation 11e16792-a26f-4069-8fab-b32058beec2f · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 13

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unresolved
raw_fallback, observed 2026-08-05T16:10:54.105181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.411749Z digest=sha256:42f14c4421a2618565bd88d55d86fc1a684d5748ae072f3ac4f4c2324eeba5cd

Observation 370f0ddf-24f0-49c3-b6bf-17863608a426 · outbound

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

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 14

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no resolver link, observed 2026-08-05T16:10:53.414668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.414668Z digest=sha256:1e18993487a8932365026adfd90663cb0272492970375f321b67c871817a5178

Observation 9e0b80ac-8f42-4491-9f1a-082233026f9b · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 15

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raw_fallback, observed 2026-08-05T16:10:54.095946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.419100Z digest=sha256:53a9cae69867e7d0b90c583122eb6e112b97c46dca971b9db1e018254cbb8148

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

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

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

Reference 16

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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:d720a9446d21b3e9d5946d2768f8d2cb1025865a3b7565dcd40dcd94e7a64e04

Observation 38a5be15-fdeb-4425-ac8c-765b674068ff · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 17

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raw_fallback, observed 2026-08-05T16:10:54.088054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.425906Z digest=sha256:031015ea07520ed3091e795fbea186755570aefad372f5db64dc4d5ce7ccd5cc

Observation 948fd76d-ff4e-4c00-b2c3-cb216166cf3c · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-05T16:10:54.080677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.428651Z digest=sha256:66c03e23feeb77e72c5096dc3f3b8fc37ae45515556643b3ccead15ae6be114f

Observation 76636775-b8b5-458c-a084-38806175f71c · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 19

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verified exact
raw_fallback, observed 2026-08-05T16:10:53.890928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.431716Z digest=sha256:041d0953781cac091ba2f79abdce26fc5436e42de5a806f384a6e86e5e4cf7fa

Observation b88cc767-d72c-4800-8ea7-71dd5c206ff2 · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 20

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raw_fallback, observed 2026-08-05T16:10:54.073425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.434156Z digest=sha256:a3a0f1a85f624d96db0c33b60681d4b4c1a3968f22748f441f6f0698b687fdc9

Observation b62c1f57-9f2f-4ff5-85f4-19ef5cb8d705 · outbound

This paper cites Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis

Reference 21

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verified exact
local_arxiv, observed 2026-08-05T16:10:53.821152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.437577Z digest=sha256:c4e3be609e642cab269765661ec5e825fbeaa1db1748b14c8d375738c2a07177

Observation 60b5a9d8-a6cd-458d-ade2-0473b9838930 · outbound

This paper cites Simple data balancing achieves competitive worst-group-accuracy.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Simple data balancing achieves competitive worst-group-accuracy

Reference 22

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unresolved
no resolver link, observed 2026-08-05T16:10:53.441291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.441291Z digest=sha256:f91ecf1dd3a296f5790524bfc3b1016d0b00699c3401cac6a09309b7cbfed819

Observation 96cf53ad-e799-4d2d-9c7e-bdf0a2ac9852 · outbound

This paper cites Learning the Difference that Makes a Difference with Counterfactually-Augmented Data.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Learning the Difference that Makes a Difference with Counterfactually-Augmented Data

Reference 23

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no resolver link, observed 2026-08-05T16:10:53.443978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.443978Z digest=sha256:914a83030eaa24e713690525fb3191f658787a3e040f15a65aa994d53333f60e

Observation babe9f45-4bbe-49e8-aaff-7efbac33bf50 · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 24

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raw_fallback, observed 2026-08-05T16:10:54.064213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.447553Z digest=sha256:3d4105bfef11833c0e8bd33bf86a54c30b60209c3bc25f03bb85e79397cd70c5

Observation 8d9f04f0-cf9b-4a3b-a5ed-db320ea9c7e3 · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 25

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raw_fallback, observed 2026-08-05T16:10:54.056374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.451137Z digest=sha256:419ae2ffa59cc8de35957405c0e2ec723cf127b8b662899b4cd1c2184d489242

Observation aa4da4ab-07d4-4bb9-a403-1c41905bc4e9 · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 26

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raw_fallback, observed 2026-08-05T16:10:54.048513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.453798Z digest=sha256:759152e3985da61d37cc709a37da3bc7d57c4712d11a7481443b91909b14eac1

Observation ae789b98-f350-4da3-885e-b0d6035e35d0 · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 27

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raw_fallback, observed 2026-08-05T16:10:54.039835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.457515Z digest=sha256:8f9d283fa22f0e2d5a5a6b7971f5c85d6767acd24570b6de44c1428928ddaf8a

Observation 1b65c021-e1e2-4326-847c-8616a2370065 · outbound

This paper cites Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:10:53.797815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.461431Z digest=sha256:a611bc6acf7a4984c9c89c5d1408a2a2747f3f6dd79416037f48298651481f8a

Observation 4245e734-664e-47e3-bc5e-f07ea0c32fe2 · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation A Unified Approach to Interpreting Model Predictions

Reference 29

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unresolved
no resolver link, observed 2026-08-05T16:10:53.464305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.464305Z digest=sha256:e94b64def86ce64593fd287b440763330497b0240063b3b0dd0eab81952e8b8e

Observation 692efa59-3fa6-4b19-9ad0-cac2c34f5a2f · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 30

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raw_fallback, observed 2026-08-05T16:10:54.032874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.468583Z digest=sha256:0e8887bec2d78939b31be23103bdc6fb38414d10b1dd6bd81e71ba165bc0ba06

Observation 49346fcf-3cc4-4e4c-b990-d6b83a161eaf · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 31

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raw_fallback, observed 2026-08-05T16:10:54.023549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.471796Z digest=sha256:0edf13b05179f31c4b6440b997bc7fabce39f650b5c2e65d5bd49922d3499f62

Observation 402e9b95-a9e6-499c-9240-7dfe04f410b8 · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 32

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unresolved
raw_fallback, observed 2026-08-05T16:10:54.014966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.475581Z digest=sha256:bc077c5a67fac16d72d4948ce4df90a329a390cc230057f7750fc4c37360459e

Observation 2427d3cc-6846-4303-b8af-967edfe91fdf · outbound

This paper cites "Why Should I Trust You?": Explaining the Predictions of Any Classifier.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation "Why Should I Trust You?": Explaining the Predictions of Any Classifier

Reference 33

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unresolved
no resolver link, observed 2026-08-05T16:10:53.478208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.478208Z digest=sha256:af836d46209d3312772725552914e9e5c50cf87c6917933c86a942613bfcc5be

Observation 53baf3e3-4a81-448c-9372-6fd3d66ab707 · outbound

This paper cites Explaining NLP Models via Minimal Contrastive Editing (MiCE).

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Explaining NLP Models via Minimal Contrastive Editing (MiCE)

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:10:53.771322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.481029Z digest=sha256:a7a645eba44b235c0d8414beec2182266bb2ede2419da285f6a81cc9d844cac3

Observation b45574fa-0cd9-4153-9f70-4486d66cc0d4 · outbound

This paper cites C.; Hagenbuchner, M.; and Monfardini, G.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation C.; Hagenbuchner, M.; and Monfardini, G

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-05T16:10:54.006941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.483679Z digest=sha256:95dad1c0ab7322788a04992615cd4ae7c303a1ea64245ca7c37eab6b3cfecce9

Observation 201f6975-2e3a-4c41-95ca-cb4ccef8629f · outbound

This paper cites K.; Mishra, J.; Singh, A.; Govil, R.; Srivastava, G.; and Lin, J.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation K.; Mishra, J.; Singh, A.; Govil, R.; Srivastava, G.; and Lin, J

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:53.996620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e6213819-d222-43c7-a8ee-3c696f88fe6a · outbound

This paper cites Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T16:10:53.488706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.488706Z digest=sha256:a36bb81f3ec341d0c852a8846e3e8026006c2881572b9d9a782ffc836c745a37

Observation cc30ee74-bb41-4463-a257-f02515384ed1 · outbound

This paper cites Code Vulnerability Detection: A Comparative Analysis of Emerging Large Language Models.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Code Vulnerability Detection: A Comparative Analysis of Emerging Large Language Models

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:10:53.749059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.491937Z digest=sha256:eaa0f59b280683825520d548e5bf1ab057919a068bbfc10acb8baef76f8760ed

Observation 9a7d2954-f6d8-47cb-8920-ccb39a6de0e3 · outbound

This paper cites Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:10:53.736635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.494619Z digest=sha256:7ccd977377916bb91532c1318068713e5be85bdf7c92e6181338cd019aef5cc7

Observation 2a76f9a2-41dd-442e-953a-570b7740f446 · outbound

This paper cites Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T16:10:53.498457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.498457Z digest=sha256:9995195d85888578a0dbf3cd14fb20a39c9535e757f46d3442a692c9d3b34d60

Observation ca3d2d52-e734-4328-b106-bb31e1e148af · outbound

This paper cites PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T16:10:53.501544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.501544Z digest=sha256:67b7338f16e3e7d834307233af859838881a21b573714fb1b9be1f4ca17f630f

Observation 44fcd51c-aa7e-4435-a22a-82551961c53a · outbound

This paper cites Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T16:10:53.504304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.504304Z digest=sha256:70c55e998f06d835f554f05ecf0ae6ef73a50ff1a0720efa70aac90cb6ae7287

Observation cf0f4e61-5ce2-4bbd-a6fd-e6e1beffcd18 · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:53.987876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.507390Z digest=sha256:7a7f25239196729850c1ca57dc4b3061515e4cd2821e40e8fb183503cee0b5a7

Observation 88891c36-756d-4722-88b6-43c2d9f93ff3 · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:53.978776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.510237Z digest=sha256:8e415f6d1f1ee4e8be962e20aaf2aa1e8d0e6904338a1cd88114742276f621aa

Observation 54fba79a-5fa5-4d99-922f-4e363d1e764e · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:53.970697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.513330Z digest=sha256:9c6dae6b34faddfcafc40f138b5729113524aede97ae05d7673329ee60cd8ead

Observation 9a04b6d8-651d-4d8a-afc6-92be773bcf71 · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T16:10:53.516789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.516789Z digest=sha256:b8277322ba3e3dbfd0274f4bb98a5dadae15479f89f56a4fca4532175f277354

Observation a4d7ab5d-d203-4476-8db0-6a65a7694ef1 · outbound

This paper cites an unresolved cited work.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:53.962286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.520508Z digest=sha256:c2762bf17ffa4e2ce8093d78d3ab70ece86c21ca982964942b122cd737a5d672

Observation 9c98fb97-15f3-4415-8d59-3ceb14448b34 · outbound

This paper cites Large Language Model for Vulnerability Detection: Emerging Results and Future Directions.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Large Language Model for Vulnerability Detection: Emerging Results and Future Directions

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T16:10:53.524187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.524187Z digest=sha256:193d8080cf1692d10a8077eb4d4154ed3bfa68ecdc13dd782f73aed788aeef31

Observation 9bc9d358-d3ad-4345-b729-e2e01132dd3d · outbound

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

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T16:10:53.528396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.528396Z digest=sha256:92160d22268f47c61ab3109760f8c3d52497a7ffd903eb81c96fd5027a45262d

Observation d003edb4-5034-49e9-a626-28d8f17767d9 · outbound

This paper cites Security Vulnerability Detection Using Deep Learning Natural Language Processing.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Security Vulnerability Detection Using Deep Learning Natural Language Processing

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:10:53.559899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T16:10:53.532000Z digest=sha256:d939084653228a525bd81e35458158dd341896be5973d2506a660a52794c257f

Pith citing papers

No inbound Pith citation observations are available.