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Paper Citation Record · LEDGER

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities

As of 29 July 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.05474.

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

pith.paper-citation-record.v1
2607.05474 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T12:36:27.576038Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-29T08:13:00.99439+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

42 of 42 outbound references displayed

  • verified exact7
  • verified fuzzy0
  • unresolved34
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 13118eca-baa9-4555-9ca4-9b0559b6942a · outbound

This paper cites Denial of service via algorithmic complexity attacks,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Denial of service via algorithmic complexity attacks,

Reference 1

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:2f5858f61b793769d4081cf520ba449af0381a5da501e784be12096be7b64ccd

Observation b84d8ff2-ddb9-48cb-8607-b3d6934b2b2f · outbound

This paper cites Exploiting unix file-system races via algorithmic complexity attacks,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Exploiting unix file-system races via algorithmic complexity attacks,

Reference 2

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doi, observed 2026-07-11T12:38:00.494418Z

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:bf428d29cfa8e18c051daf4f2949ea65cfd050059fc85769ea3acdd8c1eabf8a

Observation a7d93c59-f4b6-4f0d-98ff-b5da43d299a6 · outbound

This paper cites Slowfuzz: Automated domain-independent detection of algorithmic complexity vulnerabilities,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Slowfuzz: Automated domain-independent detection of algorithmic complexity vulnerabilities,

Reference 3

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:b2c0088ecbdc00b7f85684a9c5d9bf5e73f03cf5618d7f831d1edbdcf0665662

Observation e96c3a86-742f-473a-9108-2db370e1be57 · outbound

This paper cites Acquirer: A hybrid approach to detecting algorithmic complexity vulnerabilities,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Acquirer: A hybrid approach to detecting algorithmic complexity vulnerabilities,

Reference 4

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arxiv_id, observed 2026-07-11T12:38:00.489728Z

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:11c37ccb4e082b96d5605492feb2a034a7a9dd0cea37d442bd54162fa3291f79

Observation 6c55b5e8-d87f-4edb-9b21-e07c2cf34735 · outbound

This paper cites DISCOVER: detecting algorithmic complexity vulnerabilities,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities DISCOVER: detecting algorithmic complexity vulnerabilities,

Reference 5

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:63139a8e77923ef791fc655968b1c73793372e1f0b4194813e1f7c1dbcc42d2b

Observation 62c5cc35-c383-462f-9d01-26c4dc37f568 · outbound

This paper cites Hotfuzz: Discovering algorithmic denial-of- service vulnerabilities through guided micro-fuzzing,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Hotfuzz: Discovering algorithmic denial-of- service vulnerabilities through guided micro-fuzzing,

Reference 6

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:0f3eb3381e16a7eabd4b2e05da0e5a89ced3774c1c04105cf8e11959a849da9c

Observation 9d17a0e2-9bd8-4dcc-8374-0bc90ca99dae · outbound

This paper cites Available: https://www.ndss-symposium.org/ndss-paper /hotfuzz-discovering-algorithmic-denial-of-service-vulnerabilities-thr ough-guided-micro-fuzzing/.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Available: https://www.ndss-symposium.org/ndss-paper /hotfuzz-discovering-algorithmic-denial-of-service-vulnerabilities-thr ough-guided-micro-fuzzing/

Reference 7

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:8b86d57bfe57dd2105ce92f444cf3ef187aa640e459f12872ebd419b2b7c881d

Observation 0e362310-38ca-482e-bb84-cfa8e487216b · outbound

This paper cites CWE-407: Inefficient algorithmic complexity,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities CWE-407: Inefficient algorithmic complexity,

Reference 8

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:d9f41523935a43e8011096915c0a7c177069c8849689608e44b29223995424c9

Observation 9fbebe21-04f8-4259-9de6-4494ff9a489a · outbound

This paper cites CVE-2020-10735,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities CVE-2020-10735,

Reference 9

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:e756f804755f4856219813fa64abd22c7a6acf47d4d25e6b04b37fc37bebeb88

Observation d2ba31f6-d2dd-4f81-a5d3-6f6275666093 · outbound

This paper cites CVE-2014-1474,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities CVE-2014-1474,

Reference 10

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:5364b0b9ee9481ed962758d525ab73086d878dbe467ac51e0e109565fe1f3484

Observation 15eb6ea6-88a6-4136-8c3b-cc2ff610f9f7 · outbound

This paper cites Singularity: pattern fuzzing for worst case complexity,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Singularity: pattern fuzzing for worst case complexity,

Reference 11

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:51bedd256a5a4e960b81cc7417defb44f9fb088c6a53cb68da24574794503ef1

Observation 45188bc0-9ec0-4cd5-aa69-d0772000c4af · outbound

This paper cites WISE: automated test generation for worst-case complexity,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities WISE: automated test generation for worst-case complexity,

Reference 12

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arxiv_id, observed 2026-07-11T12:38:00.477361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:0eb627f656f1f06ba2c472efb61552990bde72cb975426832a438a148da1d0b8

Observation a8b66eef-e545-4111-b43d-e51be9c63e16 · outbound

This paper cites Symbolic complexity analysis using context-preserving histories,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Symbolic complexity analysis using context-preserving histories,

Reference 13

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:395bd888c8e2c51b60f3b7b279013b1585584697d86f0c0e7c4b4c79e2d55b4d

Observation 1fa16a92-fd8b-48a3-8abc-be12827d2f06 · outbound

This paper cites Badger: complexity analysis with fuzzing and symbolic execution,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Badger: complexity analysis with fuzzing and symbolic execution,

Reference 14

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:be1a2b9a8d379f0cfde9938d8466c5cff18794bc58b491339498e803cc97e9c5

Observation 5368f83e-903c-4380-89f9-3f8b9321dea9 · outbound

This paper cites vllm: A high-throughput and memory- efficient inference and serving engine for large language models,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities vllm: A high-throughput and memory- efficient inference and serving engine for large language models,

Reference 15

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:a12f66be906604a3e5ee23fa2b11f8a1a027c9df160665fff2376f67c93f8dd0

Observation 18e9392b-a0e1-4777-8e26-b05a7b2ea39a · outbound

This paper cites Evaluating Large Language Models Trained on Code.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Evaluating Large Language Models Trained on Code

Reference 16

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:4c18c296f942f0f22bd5dad8083720a000406aec0f3447e892b7d84d22438d76

Observation 214fbd10-e317-43f7-babd-fdeee0991cf6 · outbound

This paper cites Assisting static analysis with large language models: A chatgpt experiment,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Assisting static analysis with large language models: A chatgpt experiment,

Reference 17

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:954b5c5c5a73ff7db432a8cc7c8c113b73c294eb358991e376f8bec30e81a001

Observation 9a0eb444-8f32-4ea5-a5b8-bcc8d83fdb24 · outbound

This paper cites An empirical evaluation of using large language models for automated unit test generation,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities An empirical evaluation of using large language models for automated unit test generation,

Reference 18

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:9e7ce35c366f116e016b4277ff79802cb40b1ceb4f7c2413b6d036372fa62a4c

Observation 7ff160d0-9826-43ac-bf6d-8b7faa8b54fd · outbound

This paper cites Tree-sitter: An incremental parsing system,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Tree-sitter: An incremental parsing system,

Reference 19

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:52ab2057b4996c7c67c7914d7035d6f0c65fc2f912b9a2902b772a13f3c291a4

Observation bb3effe1-0926-46fc-9799-a3ca602fd676 · outbound

This paper cites Introducing GPT-4.1 in the API,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Introducing GPT-4.1 in the API,

Reference 20

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:816090385d552fd8c55728156aa0f542c9e6f33e3d9ed71f5db2e9b6a0f1e9ad

Observation ea651ffa-9838-4fb0-903c-3f9f39ca96ed · outbound

This paper cites DeepSeek-V3.2: Pushing the frontier of open large language models,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities DeepSeek-V3.2: Pushing the frontier of open large language models,

Reference 21

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:a3283267842988a5f6d4f03a555015fd8f73b955ebd0db6ddc8a9fc8a703f432

Observation 3fbe06a2-27fa-40e8-83d9-420ea0053078 · outbound

This paper cites DeepSeek-V4: Towards highly efficient million-token context intelligence,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities DeepSeek-V4: Towards highly efficient million-token context intelligence,

Reference 22

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:850fb5810d29561aa2ad96a29197e747c73e7d4861da52d641e2df0fd79fd02a

Observation ee12e8c4-8a90-4236-8208-99402757e6eb · outbound

This paper cites HypoFuzz,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities HypoFuzz,

Reference 23

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:77f337be8d8a47ea9f886303b42d08882f1edb0506caafb09503b0a4fb6a3fb0

Observation 6b895f90-600b-4b48-ae7f-779e9a93246b · outbound

This paper cites PEP 443 – Single-dispatch Generic Functions,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities PEP 443 – Single-dispatch Generic Functions,

Reference 24

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:773b88ec966ffca4f24f65f14288f64c2cb9ad4b6402139ac8d140d29c7faab0

Observation 9d83eaa9-b7fe-41ae-9aa6-ba711fac1614 · outbound

This paper cites A monotonic superclass linearization for dylan,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities A monotonic superclass linearization for dylan,

Reference 25

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:e3182ab48e28a154ef589f061e34ae15df1b686a7c8434545ab6beb1c3051a72

Observation 4837e6a5-8f8d-4409-91ab-0d4596c07cd2 · outbound

This paper cites The python 2.3 method resolution order,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities The python 2.3 method resolution order,

Reference 26

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:297fa75b747cd3731a81c7764e8ff8713f127552185ea73f2c94941eaba8fe5d

Observation 81c4e120-cc48-4d61-8ae3-0f9551ad7698 · outbound

This paper cites Django web framework,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Django web framework,

Reference 27

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:3fdfa359b093ba3c9a12e10a5000f6255e967ccffb69caa8f65be878ef079c6d

Observation b457a0db-7d46-4355-9520-a086f0896ec5 · outbound

This paper cites Flask-mail,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Flask-mail,

Reference 28

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:fa89cf8f0d6f55db20b2b41f76fd3d31b9e57eb5ee1dd8859054561ac10453b5

Observation 87fc2353-7b68-4001-9437-93f0fe43d265 · outbound

This paper cites Gnu mailman,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Gnu mailman,

Reference 29

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:155a6c71470e56be904942765f76c9a57d174b9b278077bcd759843bc2d5eaca

Observation b58d137a-aec1-41c2-9659-9bdbbbac7b0b · outbound

This paper cites What’s new in python 2.4: Optimizations,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities What’s new in python 2.4: Optimizations,

Reference 30

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:6689b4b2f3250f591076a3b67d49ec074b73ea527154b74d5826bd5aa4765a3e

Observation 5c12807d-757b-4251-a011-471b40797189 · outbound

This paper cites Repeated string concatenation is quadratic in PyPy (and CPython),.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Repeated string concatenation is quadratic in PyPy (and CPython),

Reference 31

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:c48339d58cfa5c2200d6108211132ad8ee42b1b80a9db8d525fd27ff3587128f

Observation 92acc6e4-a915-460b-87b5-987f9f1d02d1 · outbound

This paper cites XSTRESSOR : Automatic generation of large-scale worst-case test inputs by inferring path conditions,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities XSTRESSOR : Automatic generation of large-scale worst-case test inputs by inferring path conditions,

Reference 32

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:36784243584751a368951b6594750e3fdb1dfa04d189c610d6b267fb654a60c0

Observation 829b705d-582f-4295-9370-064a7d582e00 · outbound

This paper cites Large language model for vulnerability detection and repair: Literature review and the road ahead,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Large language model for vulnerability detection and repair: Literature review and the road ahead,

Reference 33

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:5f6d2681760d8f35c1b9d4f531f94e71cece2a66d6dcbbcd5111023ecd4461af

Observation 87bb2118-00b6-4d90-9020-c0e5919ab652 · outbound

This paper cites Available: https://doi.org/10.1145/3708522.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Available: https://doi.org/10.1145/3708522

Reference 34

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:3ebead886193190af67ba8dd4b8335a931930800323474c14ffe19d68ae1140e

Observation 917cfd72-d578-43a4-be40-ebfd80b05a28 · outbound

This paper cites Understanding the effectiveness of large language models in detecting security vulnerabilities,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Understanding the effectiveness of large language models in detecting security vulnerabilities,

Reference 35

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:824e406d493ce11880503a54f077c184c4d7f58731e53524c44963276406f21b

Observation 8f002742-dfaa-4490-ad6f-021c6f3a7052 · outbound

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

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 36

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source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:244ba503463296bce282e3d6e64e7a811c224356ea81ca4d71c80c46af30bb3b

Observation a79403d7-c3f7-42f9-8a88-1542b540ce00 · outbound

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

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-11T12:36:27.576038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:f5b5858c5cc35990fddeeb461361777cd539e93d1e1e636919a1f11c23ae9e70

Observation 4edf257c-acb0-48cc-98d7-b9b121481098 · outbound

This paper cites Exploring chatgpt’s capabilities on vulnerability management,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Exploring chatgpt’s capabilities on vulnerability management,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-11T12:36:27.576038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:fd059a84ab0552d42ab87d0a6f6481b0ab402334b417e8b737aa2d38570e18d7

Observation d0476f51-21fa-4458-8376-c1ea84e9b520 · outbound

This paper cites Static detection of dos vulnerabilities in programs that use regular expressions,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Static detection of dos vulnerabilities in programs that use regular expressions,

Reference 39

Resolution
verified exact
doi, observed 2026-07-11T12:38:00.482983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:ad92afae228f8ca3b2f2d328bca49d9b46deae419f6b28a7dc7ca38a5c13c830

Observation 7a35ee61-0041-4cb9-9dbb-daaab1a8460b · outbound

This paper cites Detecting DNS amplification attacks,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Detecting DNS amplification attacks,

Reference 40

Resolution
verified exact
doi, observed 2026-07-11T12:38:00.499166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:77163f3a5cf864086f0585792cec8da370616b6f7581fb805aa21e181a2aaa15

Observation e0a2120d-0e6b-4ff4-8fbe-8297a9de197d · outbound

This paper cites Nxnsattack: Recursive DNS inefficiencies and vulnerabilities,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Nxnsattack: Recursive DNS inefficiencies and vulnerabilities,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-11T12:36:27.576038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:3f541c930feb911a957d6e5819a1c0f69c03c71b1c035174ab5cc770bc3c0e12

Observation 013c4167-89dc-4e2f-b1aa-4fa4fa8668bd · outbound

This paper cites Revealer: Detecting and exploiting regular expression denial-of-service vulnerabilities,.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities Revealer: Detecting and exploiting regular expression denial-of-service vulnerabilities,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-11T12:36:27.576038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T12:36:27.576038Z digest=sha256:56ce562f92cdbc4c688a42a5d88e1bf619a46ec29c65801b625bc042aa3f465e

Pith citing papers

No inbound Pith citation observations are available.