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Paper Citation Record · LEDGER

Evaluating Large Language Models for Symbolic Security Protocol Analysis

As of 10 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.20712.

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

pith.paper-citation-record.v1
2607.20712 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:38:48.960744Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

52 of 52 outbound references displayed

  • verified exact12
  • verified fuzzy0
  • unresolved34
  • parse uncertain0
  • malformed identifier6
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 568d0c84-caea-41e7-a4f8-acef4363d352 · outbound

This paper cites Lowe, Breaking and fixing the needham-schroeder public-key protocol using fdr, in: T.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Lowe, Breaking and fixing the needham-schroeder public-key protocol using fdr, in: T

Reference 1

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doi, observed 2026-08-01T09:43:40.033317Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 680d1979-d033-4d73-99ea-7fe37e83ca00 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 2

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doi, observed 2026-08-01T09:43:39.711219Z

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Observation 6cc72981-72e9-46ab-950c-140f454baa4e · outbound

This paper cites Mödersheim, L.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Mödersheim, L

Reference 3

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source=pdf_text observed=2026-08-01T09:38:42.585316Z digest=sha256:f348ada2585aa856a7ac95244859c2498e2708eeb4c199235fa6d90b725b228b

Observation 0a017748-312d-4f35-9e73-a182bbe687e0 · outbound

This paper cites Dolev, A.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Dolev, A

Reference 4

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source=pdf_text observed=2026-08-01T09:38:42.702192Z digest=sha256:e5b31a0ebb8159990c6dae57afd4c59c3a53c27568c8c482e8699d634be23956

Observation 1aef4929-ad1b-40db-b50f-5494237d16f5 · outbound

This paper cites Wang, T.-S.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Wang, T.-S

Reference 5

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source=pdf_text observed=2026-08-01T09:38:42.825970Z digest=sha256:807219632bd73dc46b3652599bf420e0cf3dc26f658c630e3bcc94a5535528fd

Observation 6661265c-08ba-4799-bfe1-95981aa549af · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 6

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doi, observed 2026-08-01T09:43:39.394402Z

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source=pdf_text observed=2026-08-01T09:38:42.947802Z digest=sha256:73479655e6ce9992945001cc93e72b5d9d3327898e5de248ecd3c684d11d6b9a

Observation 51a31afa-3681-4c84-b9c1-82984c204658 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-01T09:38:43.085687Z digest=sha256:5897317906a3b44c0ab48cc76eec0a50af45565db499872370bbd3a2ecac15d7

Observation 1c9bc01c-0317-494a-9536-3d7254edcacd · outbound

This paper cites Curaba, D.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Curaba, D

Reference 8

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source=pdf_text observed=2026-08-01T09:38:43.205329Z digest=sha256:9c6d398bce47270ee05b4f674d74543a5c4c4ca2a1aa027e00bfea273584dcce

Observation ed740945-0a77-4b18-8eb1-9cb69df08dd7 · outbound

This paper cites Blanchet, Composition theorems for cryptoverif and application to tls 1.3, in: 2018IEEE31stComputerSecurityFoundationsSymposium(CSF), IEEE, 2018, pp.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Blanchet, Composition theorems for cryptoverif and application to tls 1.3, in: 2018IEEE31stComputerSecurityFoundationsSymposium(CSF), IEEE, 2018, pp

Reference 9

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source=pdf_text observed=2026-08-01T09:38:43.317966Z digest=sha256:36f5a00b00cdadabbd450b0b1fb8f422bbd26a2737715db8eca2434dbbf65f09

Observation dba07542-7fe4-41df-9f8c-deccbf85bea1 · outbound

This paper cites Cheval, V.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Cheval, V

Reference 10

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source=pdf_text observed=2026-08-01T09:38:43.410971Z digest=sha256:07bc607c9554f5fa1d58a98e434057709f891c847f7610bdd07057c90a01b924

Observation 204d2291-f89a-49f1-8083-6d7630461b6f · outbound

This paper cites Basin, S.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Basin, S

Reference 11

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doi, observed 2026-08-01T09:43:38.327923Z

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source=pdf_text observed=2026-08-01T09:38:43.531535Z digest=sha256:58796c3bf63a6ada983a44ad97bc31f2a9604399f02de08645e456aff8eb2174

Observation fe3390f9-73e0-44d6-b528-eff58e594d80 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 12

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doi, observed 2026-08-01T09:43:37.970381Z

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source=pdf_text observed=2026-08-01T09:38:43.683478Z digest=sha256:434bf5fee6e47e4f6b293530cce76803ea3610ee6127c36c02d5108acc0ea3aa

Observation c7dca133-9c61-4500-889d-97037333f418 · outbound

This paper cites Lowe, A hierarchy of authentication specifications, in: CSFW’97, IEEE Computer Society Press, 1997, pp.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Lowe, A hierarchy of authentication specifications, in: CSFW’97, IEEE Computer Society Press, 1997, pp

Reference 13

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source=pdf_text observed=2026-08-01T09:38:43.791774Z digest=sha256:787649efd1a0450265f43037a3eab8782badc62ea2e220f168145431166c7895

Observation 5038cb54-98b1-4e90-989c-8bc88c44f00e · outbound

This paper cites Bugliesi, S.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Bugliesi, S

Reference 14

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-01T09:38:43.951426Z digest=sha256:1ad4e3156090285968dd82262d1811b914a3be0750d5b662b33e1c582993766a

Observation 369edadb-39ae-4dff-a2ef-8cf19a558756 · outbound

This paper cites Modesti, AnBx: Automatic generation and verification of security pro- tocols implementations, in: J.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Modesti, AnBx: Automatic generation and verification of security pro- tocols implementations, in: J

Reference 15

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source=pdf_text observed=2026-08-01T09:38:44.087293Z digest=sha256:d853ac28c7a06d567ea06b26d74c23d5cfa61c493eb65fe879d937f4896bddc5

Observation a6c277e5-b33c-4a8d-a3c3-c43ade969886 · outbound

This paper cites Blanchet, B.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Blanchet, B

Reference 16

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source=pdf_text observed=2026-08-01T09:38:44.220687Z digest=sha256:c0b0b119a7b5b6236d6d79032bba201eb9dce332e3a5c3f94a787738a1095ec5

Observation a18e4f49-7d63-44b8-8321-5227b4f46890 · outbound

This paper cites GPT-4 Technical Report.

Evaluating Large Language Models for Symbolic Security Protocol Analysis GPT-4 Technical Report

Reference 17

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source=pdf_text observed=2026-08-01T09:38:44.343847Z digest=sha256:a05af9ca9027be1efd45294b5864ebba481845c81dfbbd6d2ee75b74213c60cb

Observation 0d3c7c92-cf05-4775-919d-c062f5592333 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-01T09:38:44.534778Z digest=sha256:bc4f11b1222de4f69665794b6ed41d91c7828dad0de907056a319ce9907f6282

Observation 9f4400ca-8dd4-475e-bfde-c7b30455cd71 · outbound

This paper cites URLhttps://openai.com/index/introducing-o3-and-o4-mini/.

Evaluating Large Language Models for Symbolic Security Protocol Analysis URLhttps://openai.com/index/introducing-o3-and-o4-mini/

Reference 19

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source=pdf_text observed=2026-08-01T09:38:44.658220Z digest=sha256:916ef094d1b1bbaa4e06bea3408b2efe782c16b7dbc82efb3ccf6110d69c5ff4

Observation 0be5a670-350f-433f-ace4-0e66fa323f17 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Evaluating Large Language Models for Symbolic Security Protocol Analysis DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 20

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Observation 827337bf-226d-4b23-ab7e-5f0b8f0cd6c6 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-01T09:38:44.964120Z digest=sha256:7ee23a57f18456e0ea335f28433a94cd95d34f93877e2f2565f3fe92fc943a96

Observation ba42254a-c1a2-432c-a765-3544811bd062 · outbound

This paper cites Schmidt, S.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Schmidt, S

Reference 22

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Observation d8552e60-20fa-4773-9386-c88bc9718333 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-01T09:38:45.306701Z digest=sha256:cc2b94000abae305d6bd2ae9862a1cb17ecc781ef61799fdee2f1233e6c5f9fe

Observation 98a4052d-5bed-4244-a33d-b4437a23e24b · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-01T09:38:45.428025Z digest=sha256:55abdaf2aa9fd58f2dc52fca8375958470a83adf67be9f53da99392cc7d68831

Observation 3aa171a5-b8c7-4ed7-b3cb-2010b6c90ade · outbound

This paper cites Blanchet, Automatic verification of security protocols in the symbolic model: The verifier proverif, in: A.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Blanchet, Automatic verification of security protocols in the symbolic model: The verifier proverif, in: A

Reference 25

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source=pdf_text observed=2026-08-01T09:38:45.589895Z digest=sha256:765495ccb5a4db9e7d0249277ffdbf716d98ccd509f0b5c32fc3e959f78488ab

Observation 8e951d0c-0b5b-4e20-a25b-328499a95564 · outbound

This paper cites Magar, R.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Magar, R

Reference 26

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source=pdf_text observed=2026-08-01T09:38:45.717448Z digest=sha256:0246534bf08c02c3b7d5ed218d6b7d55429853c6a0bf0c1528a75557d461d035

Observation 42674813-7b52-4ec6-8a9e-2cea13dff1f5 · outbound

This paper cites Sainz, J.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Sainz, J

Reference 27

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Observation 3a916152-e7ce-432d-ad03-dda13318b5a5 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-01T09:38:46.001723Z digest=sha256:261dcbf55f11969a9da70bf7538fb3fd427b1dec5e1801d6f136f8c48760d570

Observation 0e1cc265-de8a-4082-a309-bb23181f27df · outbound

This paper cites Sommer, V.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Sommer, V

Reference 29

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source=pdf_text observed=2026-08-01T09:38:46.186872Z digest=sha256:2629991dddaa4eb7dd69567e3c260cda4d789b1e71f63cad504f412d61729fc8

Observation e5dd3993-2a3e-4f27-ba68-c5503a4bd88f · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 30

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doi, observed 2026-08-01T09:43:36.177705Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-01T09:38:46.357924Z digest=sha256:4dcae416cd59215d9b30fdbaf283765f4fe9ece55072c9070129286b7870f3a4

Observation 7fb5582f-1814-4fe9-b0f0-13efb94384aa · outbound

This paper cites Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order Information.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order Information

Reference 31

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source=pdf_text observed=2026-08-01T09:38:46.461601Z digest=sha256:30347a922976c12c2afd275617db77f40d008b161e71e8f9039884edb696661b

Observation d26a7f7d-35eb-4959-a8d8-c406348dc8c5 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-01T09:38:46.563937Z digest=sha256:5dcb0486be3761c7c9983a1b72595e4d2c17596884f83ea81e85c473e9c24c5e

Observation 25b25849-35d3-4be1-a81a-e34ffe88a16b · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-01T09:38:46.661124Z digest=sha256:54fa881fba93560f66f387ac9a93f18650771ab4887e07665eb48e459ab86fbd

Observation d62bc5ed-70c0-4587-ad7e-e5f2bde2ad8e · outbound

This paper cites deepseek.com/guides/reasoning_model, deepSeek API Docs.

Evaluating Large Language Models for Symbolic Security Protocol Analysis deepseek.com/guides/reasoning_model, deepSeek API Docs

Reference 34

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source=pdf_text observed=2026-08-01T09:38:46.775804Z digest=sha256:3c1cbbcdf86dfb186e3d87e7faa5b39998266e169d93a8e9d266a7f18ac5faba

Observation 3304b720-44f9-4f8e-bbd3-7e1f1f346dbc · outbound

This paper cites Accessed 14 April 2026 (2026).

Evaluating Large Language Models for Symbolic Security Protocol Analysis Accessed 14 April 2026 (2026)

Reference 35

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source=pdf_text observed=2026-08-01T09:38:46.842903Z digest=sha256:7d94165fec232a2da099142b1b2bbbe74c57cd428b5db7964991478f9e7c8a5b

Observation caa2d66e-d145-456f-ada4-efcd558cf0e0 · outbound

This paper cites Sheng, Z.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Sheng, Z

Reference 36

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source=pdf_text observed=2026-08-01T09:38:46.974285Z digest=sha256:beed0076b3e541a1e9014574a2fffb459e9e57ac84b19b01bca5dec9228086fb

Observation 546cf968-8389-4523-a452-48d8f9572a60 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 37

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source=pdf_text observed=2026-08-01T09:38:47.157964Z digest=sha256:b6f885b224e05502ba0e4850326f4dd6dc489908f6fe6c8e6261111c3af399cc

Observation 88717a09-054d-4e4d-8908-6384e7845bf6 · outbound

This paper cites Pearce, B.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Pearce, B

Reference 38

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source=pdf_text observed=2026-08-01T09:38:47.348244Z digest=sha256:455f69813739d76078eda57e2f441a6f371545eec701df2afd4a82b315f957be

Observation 7daed4a8-a6fa-415a-bd84-74b5a0997636 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 39

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source=pdf_text observed=2026-08-01T09:38:47.464276Z digest=sha256:3d51886b7c4513ca5c7f4b00c5a0d98a92e7a2c65388c152bbe34d10e89df74c

Observation d8421f9b-7629-4edb-9887-6b7f15ff71c4 · outbound

This paper cites Prompt-Enhanced Software Vulnerability Detection Using ChatGPT.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Prompt-Enhanced Software Vulnerability Detection Using ChatGPT

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-01T09:38:47.582514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a6730305-9f94-4dd5-a7fe-6482ffe73da0 · outbound

This paper cites Conceição, N.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Conceição, N

Reference 41

Resolution
verified exact
doi, observed 2026-08-01T09:43:35.287121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-01T09:38:47.728522Z digest=sha256:2b41802f9f448035a918de545dae60ae711bbb6083fc5cc4ebcea259d5712984

Observation bb6bb314-3e4b-4cf4-a7af-d59bfd384239 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 42

Resolution
verified exact
doi, observed 2026-08-01T09:43:34.857903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-01T09:38:47.860786Z digest=sha256:4d2e571109e04392d0a72408b6ff29d5153bb9846653df34da1efcfb28965cbc

Observation 06acea4b-b1bc-4945-ab34-a7e414fd5ee7 · outbound

This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.

Evaluating Large Language Models for Symbolic Security Protocol Analysis A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-01T09:38:47.940209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:38:47.940209Z digest=sha256:4a350156a6a652dfdc6b8efa8af93ca890ce4a50956bf4d77012b81e63c9d877

Observation 25beae08-79e0-4853-9103-04aacc3f3b88 · outbound

This paper cites Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-01T09:38:48.127344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:38:48.127344Z digest=sha256:55047c1b5d52af6d6c35438b87c9e46da75bc11fdbdcb9a2818084ff80acd947

Observation 04e34d7e-60f8-4101-b89e-8aad1daa3ba8 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 45

Resolution
verified exact
doi, observed 2026-08-01T09:43:34.544728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-01T09:38:48.245733Z digest=sha256:458458aeb16dcc33f84c373520a6dc0d0ad830a3484ed7fb3a9feb8a93732b50

Observation 651d332d-e2a4-40df-a35d-a7647af9ac2d · outbound

This paper cites Agarwal, A.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Agarwal, A

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-01T09:38:48.316123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:38:48.316123Z digest=sha256:1c63e00995f0067fc74483f0eb52d7fbfc658b5d5d6c59559488132b3ef469dd

Observation 2c6fa425-eeb5-4176-8c8c-b2e25368b0d3 · outbound

This paper cites Thinking Before Constraining: A Unified Decoding Framework for Large Language Models.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Thinking Before Constraining: A Unified Decoding Framework for Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-01T09:38:48.453048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:38:48.453048Z digest=sha256:b6e1d3a994241dfc4a37e2f6259aabe1926e8811735b71162cf58e5c397a4213

Observation ef1ed707-8046-4972-9b97-eb960e0d3948 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-01T09:38:48.570576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:38:48.570576Z digest=sha256:c3f239bf564a4f81f5017ffe3ed766e9dbad96825569fb8be21bc90b42137a80

Observation d5422ba6-abba-4f52-b081-08a73fa0a3a1 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-01T09:38:48.694553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:38:48.694553Z digest=sha256:40486b092e9a4aa020dddc9fe73f5cd7358645556c072f0ec005e28fdab2e2e0

Observation b1f7a984-d062-440b-b9ca-c3f70b91fd30 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-01T09:38:48.815903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:38:48.815903Z digest=sha256:88d8dcd894a3f5a4662b8437bc0b99926488727cd62f48a2dddc323dbd31b962

Observation 41f43838-1812-4af0-9d8b-ede3d3642311 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Unresolved cited work

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-01T09:38:48.883667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:38:48.883667Z digest=sha256:dd57cc2bc03025ebc9bd9783a5cefabfae7ed3db691e79863ee521b2a59dbd86

Observation 59f30d3a-6b23-4f64-b800-51b95d5da7ce · outbound

This paper cites attack found.

Evaluating Large Language Models for Symbolic Security Protocol Analysis attack found

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-01T09:38:48.960744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:38:48.960744Z digest=sha256:e69839642016bf85e6554519ff6c44650ee3ba15bc74feaf4e7b38ca13a79438

Pith citing papers

No inbound Pith citation observations are available.