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Paper Citation Record · LEDGER

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection

As of 22 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2504.15632.

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

pith.paper-citation-record.v1
2504.15632 v3

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:25:26.247594Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 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

32 of 32 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved27
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 495e2afc-4da1-42a5-8dc7-430e83addbf8 · outbound

This paper cites an unresolved cited work.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:26.121855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.121855Z digest=sha256:7118ab0c0345f23e0d687b4f51e89acb8f11c602f6f5cb630e20666183941117

Observation 8255ef8f-9d0b-4045-ae37-6aad422c72b4 · outbound

This paper cites an unresolved cited work.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Unresolved cited work

Reference 2

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malformed identifier
no resolver link, observed 2026-08-16T11:25:26.126276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.126276Z digest=sha256:bb2563726cc864d069d96c11a1ad6563022a7f1870a2f125e6b72ab8cd2c7db9

Observation d22daaae-c2ff-431c-a88b-f28e371f426d · outbound

This paper cites Chakraborty, R.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Chakraborty, R

Reference 3

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no resolver link, observed 2026-08-16T11:25:26.130067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.130067Z digest=sha256:9232a85b2b5b3443f33f1a79827f1ce935abd442ea47b318f3b879b76915261c

Observation 39900862-2259-4a74-bacc-34350119ebf0 · outbound

This paper cites Chawla, Kevin W.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Chawla, Kevin W

Reference 4

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no resolver link, observed 2026-08-16T11:25:26.133990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.133990Z digest=sha256:d93c70f6be4cbdba76ecf747feb4c970e6ecfb34229bd9c4b2348f0c2c18a99b

Observation 3dfaf5e4-790d-4f7e-9fcf-7cba0ce3f533 · outbound

This paper cites an unresolved cited work.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:25:27.323579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:25:26.141798Z digest=sha256:ff5d048a99e2b60b28fd94223d88c5b2bb763fc5b3c671754ba1ab650808a9f8

Observation 49d2e8da-ad88-427c-a6d8-2902da9c2de3 · outbound

This paper cites an unresolved cited work.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:26.149797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.149797Z digest=sha256:68c7b11d6eb8d120bd232737585cf09a42e05f9b67d1a145133f950d7d8d054d

Observation 1225e7e9-f164-4ba5-b68e-4e9b937deafb · outbound

This paper cites an unresolved cited work.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:26.154086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.154086Z digest=sha256:d619a94139b77cfff877f51801a2a62fb10c552d85abcf27130a8a54d38f4bfc

Observation 100773b3-3bb1-4f71-bf27-caffebcfa839 · outbound

This paper cites Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:26.157801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.157801Z digest=sha256:801f625a1601e5fc5bff4c3b51fb724636485c185811314410801c86ff4d766c

Observation 4c798ac2-7374-42d3-be9f-a825f3498acc · outbound

This paper cites an unresolved cited work.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:26.161560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.161560Z digest=sha256:4494ddc0d2518dc4f97b1d3da51738c741df59fd5fef6be0bf2a82155317368b

Observation 0a343be6-8eec-475e-a5d5-57528c95b733 · outbound

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

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:26.165120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.165120Z digest=sha256:f3c5f76a127e4d83518ae84b5e3f0da5274f1bde2e210705dbf43978ce791b87

Observation a159495b-e7de-41fa-8970-9c90e02f555c · outbound

This paper cites an unresolved cited work.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:26.170050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.170050Z digest=sha256:88155064159083e72380afc7f9fa2593bf2f12f7dcf513476c36664a3f5c42ad

Observation 577e13e1-894a-41c2-8ce2-d6a52ba41acb · outbound

This paper cites Augmenting Data with Mixup for Sentence Classification: An Empirical Study.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Augmenting Data with Mixup for Sentence Classification: An Empirical Study

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:26.174004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.174004Z digest=sha256:34d386e3d76e986c2025db34506bca74d4398700da08c7025f343de917728830

Observation cbd339e5-fa48-4dfe-b279-9a74ab088f5c · outbound

This paper cites Ali Babar.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Ali Babar

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:26.177784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.177784Z digest=sha256:8ace0f97ac9d034898089e016c8e73ad1124876fa70293e0bdc9e71d4ff95f26

Observation 6d28f2de-e8d8-4e6a-89aa-431795282a11 · outbound

This paper cites an unresolved cited work.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Unresolved cited work

Reference 14

Resolution
verified exact
doi, observed 2026-08-16T11:25:26.280599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:25:26.181429Z digest=sha256:55a54196e887715c98ee34c90819b00a655ef0d09f19a1b6db4c7158175b5e62

Observation 480c0cee-96d7-4d78-8f80-e5a824175006 · outbound

This paper cites an unresolved cited work.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Unresolved cited work

Reference 15

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unresolved
no resolver link, observed 2026-08-16T11:25:26.185042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.185042Z digest=sha256:92ebed51189c54f6a10378e96b58a8907d30b7054569a1e7abec28db3c67fa6f

Observation 3bcf0ede-a97f-46c0-933d-0e5fd201b9d7 · outbound

This paper cites an unresolved cited work.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:25:27.303709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:25:26.188739Z digest=sha256:c0ff7de5fc626f211b8adfb9492804a538dd8df71041a0dee7d3f4e7780a4a28

Observation cf7fd22b-08ed-4f60-a1ce-4cd66efc21fd · outbound

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

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:26.192995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.192995Z digest=sha256:56fb92e3d8eb4e594b087d5be708b9079e935b2c1e91d79e5ef4f92c31b6776f

Observation 4e9c1c38-d093-4474-b302-bd5f96db0151 · outbound

This paper cites Corrado, and Jeffrey Dean.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Corrado, and Jeffrey Dean

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:25:27.292331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:25:26.197318Z digest=sha256:126aa9d097c7adb49613cd09cf36e00d901f02d8b6c3a75a4a7da0cc1bd2ab5b

Observation 07353efb-b466-47aa-a192-54cc31089d9f · outbound

This paper cites an unresolved cited work.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:25:27.279960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:25:26.201214Z digest=sha256:eb5a502ba6db9fd4813fc78359af420c54d235c2ad6c8749b3cb66e61300ead4

Observation d5f41891-04f3-4a0a-80af-ef9a7afe44e1 · outbound

This paper cites an unresolved cited work.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Unresolved cited work

Reference 20

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unresolved
no resolver link, observed 2026-08-16T11:25:26.205144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.205144Z digest=sha256:1d5d1e685bfb1eb2c0cae6df570a9efe4136649289e55a312b3b9ea8c4f40291

Observation ed0922fd-6d42-47a6-a4bb-189c4873bf6a · outbound

This paper cites an unresolved cited work.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:25:27.268783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:25:26.213268Z digest=sha256:2dfa772a051f25daecb049223a287f4d73d5a2d32d82ea18a64d0fba1ecda4d5

Observation 5eb42693-247c-48fb-965a-5a06c4c57ff8 · outbound

This paper cites an unresolved cited work.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Unresolved cited work

Reference 23

Resolution
metadata mismatch
raw_fallback, observed 2026-08-16T11:25:26.674103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:25:26.216800Z digest=sha256:446dea5ac72061a5a0461780b1e56ebc71be09690c7ce68278431f472adf002f

Observation fe7b90f6-0394-4a13-a5a5-0286a12cb30c · outbound

This paper cites Oliva, Yasutaka Kamei, and Ahmed E.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Oliva, Yasutaka Kamei, and Ahmed E

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:26.220512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.220512Z digest=sha256:2d58f939d5763280e79d15742896351f37f1cd19def0e643801f5d7288f9363e

Observation aee8d5a5-d44e-4210-aaa9-4613f41e9b77 · outbound

This paper cites an unresolved cited work.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Unresolved cited work

Reference 25

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no resolver link, observed 2026-08-16T11:25:26.224169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.224169Z digest=sha256:8878c9d6e423add8fca4db2194eb26b09feb8a1b06276f05c923a902b12eb236

Observation 507c499c-cfb6-4a0e-8fa6-fdad5ee68fa5 · outbound

This paper cites Khoshgoftaar, and Jason Van Hulse.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Khoshgoftaar, and Jason Van Hulse

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:26.228162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.228162Z digest=sha256:4cd7f142e4963b705ff6a43e8aa3a3ce78687c22fa598d5518255279362d85cc

Observation a980ffbc-5b9e-40c5-a2bb-f711a9a044e8 · outbound

This paper cites Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:26.231890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.231890Z digest=sha256:675e1c62c877ee109131d162f51f3542bc4eb3dfcc4599b48d7300218d4ab3a0

Observation f641377f-63d2-492f-88ea-fb7a7e039ca0 · outbound

This paper cites Nguyen, Shaohua Wang, Yi Li, Jiyuan Zhang, and Aashish Yadavally.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Nguyen, Shaohua Wang, Yi Li, Jiyuan Zhang, and Aashish Yadavally

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:26.235725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.235725Z digest=sha256:541d454e977d8b9ee7d28bdf201de9b0a26d590467ae3482887dc4ffe8cbea53

Observation a0dcc956-f8a9-48dc-bf36-69e56d51cdd5 · outbound

This paper cites an unresolved cited work.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Unresolved cited work

Reference 29

Resolution
verified exact
raw_fallback, observed 2026-08-16T11:25:26.437504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:25:26.239517Z digest=sha256:db45fddcf714c6bf020327ad88d3c51864d544ecfd4204da65154b0452f7b0a8

Observation 57b961b3-1da0-48cb-b313-919b34d4faf6 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection mixup: Beyond Empirical Risk Minimization

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:26.243417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.243417Z digest=sha256:953081e5dc6f2e206d3c7f2190e0383c03d84e2e04563ad818efe2268c077504

Observation b61f21d2-41da-409d-8ea8-5e92c86f445c · outbound

This paper cites an unresolved cited work.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:25:27.250689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:25:26.247594Z digest=sha256:08ec78ba7a0dbc7ac4d94b5e2506b9419ef8ea2090c77c01c872574fddb5d16c

Observation c8425f47-907a-4cb7-a4db-604855d4ac37 · outbound

This paper cites an unresolved cited work.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Unresolved cited work

Reference 2002

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:25:27.336560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:25:26.137794Z digest=sha256:c45fa2355293a2a03625124b8f2d118d71d5e84646074b76694fca4c5e6a8eb7

Observation 0e8e5701-1b17-4519-9208-60d6a929245b · outbound

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

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:26.145600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:26.145600Z digest=sha256:8863cfb6c60582929948258faf078ce3004cf7706338b005f9cae5dd84ebe7a5

Pith citing papers

No inbound Pith citation observations are available.