Paper Citation Record · LEDGER

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap

As of 20 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2601.22655.

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

pith.paper-citation-record.v1
2601.22655 v3

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T11:38:16.149523Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:13:51.349899Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

53 of 53 outbound references displayed

verified exact26
verified fuzzy2
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation d0fe279d-c165-429f-8d49-4448efb1d963 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.728237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6e6e6545-1c53-4e90-91ee-b309527b7a95 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.721344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d94c1346-b418-440d-b6dc-8fff6e8d7355 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.717952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6b281f21-624d-4010-9d23-0ff602fd2ee2 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.724474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 477c87a7-4cb3-472e-babb-ad0fd5abecb9 · outbound

This paper cites Do you still need a manual smart contract audit?.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Do you still need a manual smart contract audit?

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.131336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d11b7949-ab8d-43b7-9f47-6a3b60838049 · outbound

This paper cites DeepSeek-V3 Technical Report.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap DeepSeek-V3 Technical Report

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-22T11:41:30.126566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 72430d09-878c-4f8e-a5b4-b6c395dfc463 · outbound

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

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Vulnerability Detection with Code Language Models: How Far Are We?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.240611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 161f17a3-d0fa-44b5-91cc-f31cf1e826ec · outbound

This paper cites Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.245521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 854e1b52-1ed7-48fb-88fd-10331dbe1d14 · outbound

This paper cites The Llama 3 Herd of Models.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap The Llama 3 Herd of Models

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-22T11:41:30.250391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d9f71084-4384-437e-8b68-a996d20bc75c · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-22T11:41:30.235647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ed46946c-64bf-4d67-b964-4b3ad13e1082 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.793106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 85b47409-fbd3-448e-9b01-24c817a42af1 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.784861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2affd1d8-d193-4cb2-8969-b87a940d8122 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.776648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 89fe6e58-a783-493c-a6cb-7e8f8bfe2593 · outbound

This paper cites InProceedings of the 2023 conference on empirical methods in natural language processing.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap InProceedings of the 2023 conference on empirical methods in natural language processing

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T11:41:30.788926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2c1f94e5-bc94-44fe-b380-d98c3aa111a3 · outbound

This paper cites Qwen2.5-Coder Technical Report.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Qwen2.5-Coder Technical Report

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-22T11:41:30.220697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ca3b02ec-6edf-4c41-b11c-dac3abbcd441 · outbound

This paper cites Investigating Large Language Models for Code Vulnerability Detection: An Experimental Study.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Investigating Large Language Models for Code Vulnerability Detection: An Experimental Study

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.226374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8029fba0-0fa5-449d-aba7-5a7db5cbacc4 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.803231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0b001e46-d54b-4ddf-9ea0-1b04e743b998 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.799738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 09d82b97-360b-4da9-aa6f-1481e9735052 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.796489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 910c9a86-a6c3-4053-9791-00617c5a49b8 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.765157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 796408d6-dbf7-4e81-b6c1-3520295e09d7 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-22T11:41:30.194938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0c2e5739-35c5-4104-8da0-e038ee4a64d1 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-22T11:41:30.183839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f22fd0a6-34c7-4adb-a80a-b6ed96451fc5 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.768497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f525e389-877f-43d7-b5e2-f91350df5251 · outbound

This paper cites Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.210675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1ce3e631-66f9-4d59-a01f-8261e8a9750c · outbound

This paper cites IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.189897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 38f4a56b-b3d3-4d68-9d6b-321038c7fd40 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.758782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c634207b-a260-47e4-a922-bf570ec7cdba · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.752163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ae2db6af-7359-4d4e-aeaa-3a0f61bfb9ca · outbound

This paper cites Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.178480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cfb69bb2-5423-43b0-8b35-22b5a3f97567 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.755497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4552a313-5c57-4000-9672-eb050997e26b · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.761938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 633504f4-21d3-40b5-a11b-6dd56bed4251 · outbound

This paper cites LLbezpeky: Leveraging Large Language Models for Vulnerability Detection.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap LLbezpeky: Leveraging Large Language Models for Vulnerability Detection

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.205287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cb180852-6915-41cf-a8dd-ce7f0ab2c4e5 · outbound

This paper cites Training language models to follow instructions with human feedback.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Training language models to follow instructions with human feedback

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-22T11:41:30.166267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 977e3547-b13e-4c9f-a0c8-0513ff57415b · outbound

This paper cites When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.172056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22e18cbd-c1c5-450f-80e0-009ab67a8604 · outbound

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

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-22T11:41:30.161160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f84e099e-a427-4f06-8c49-b03d3d7a5e71 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Code Llama: Open Foundation Models for Code

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-22T11:41:30.122079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9aff7e65-9043-44f0-9f61-8a6a7df3bcde · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.709220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ea5a5fe3-c758-4696-bec2-e4963455f166 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.742259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f4793a51-1f18-423d-aa49-79df84dbb6d7 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.745621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7d19f2b8-a825-4a33-9ea5-14354507fd3a · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.748892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 12d81575-52df-4be9-891f-0042cbf506a7 · outbound

This paper cites To Err is Machine: Vulnerability Detection Challenges LLM Reasoning.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.146345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e8d879dc-1073-42ed-ab2b-5e65045e8962 · outbound

This paper cites LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.216019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fc410fc0-116e-4c11-8b33-692fb8594337 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.772903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 97e68337-0048-4944-8a4d-0ea9be2aed80 · outbound

This paper cites Qwen3 Technical Report.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Qwen3 Technical Report

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-22T11:41:30.231045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 75a766f9-6fb7-4cab-b3fe-83bdecc31b32 · outbound

This paper cites LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T11:41:30.732462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 55fc46ae-3f69-422d-9f3f-7c1c8c09cd7e · outbound

This paper cites DefectHunter: A Novel LLM-Driven Boosted-Conformer-based Code Vulnerability Detection Mechanism.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap DefectHunter: A Novel LLM-Driven Boosted-Conformer-based Code Vulnerability Detection Mechanism

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.200506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a3d9e19b-e0cd-4f01-96b9-3122f55fcb24 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.806333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6ce0219b-aece-4c36-9dd3-67acac433928 · outbound

This paper cites Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.156233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a406b872-f7f9-4bd5-b438-caaf3500d0d7 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.735772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bb4b294e-689f-47dc-bc03-a21396d07a71 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.739145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 898c5659-62ce-4996-9ffe-ac806a6716d2 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.150806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 88e21ae9-2d42-44fa-a6ef-358e75a92a9b · outbound

This paper cites SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.136366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b18dd30d-2430-46b2-9fdf-e06113244f26 · outbound

This paper cites an unresolved cited work.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-05-22T11:41:30.714675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 06586975-eaf9-4f5c-b8db-7671fb59c6ae · outbound

This paper cites Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.141402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation f85b1a1b-b521-4cd7-a27b-cb873e5e4f59 · inbound

DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability Detection cites this paper.

DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability Detection Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap

Reference 2026

Resolution: verified exact; local_arxiv, observed 2026-08-02T05:18:41.790222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.