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Paper Citation Record · LEDGER

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining

As of 7 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2507.11222.

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

pith.paper-citation-record.v1
2507.11222 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:17:30.990706Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

37 of 37 outbound references displayed

  • verified exact2
  • verified fuzzy9
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation b8702540-647e-4797-99ea-f6eac857b110 · outbound

This paper cites Sutton, A.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Sutton, A

Reference 1

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Observation e880f9fb-162d-4423-ad1a-872274b071c5 · outbound

This paper cites Verified models and reference implementations for the tls 1.3 standard candidate,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Verified models and reference implementations for the tls 1.3 standard candidate,

Reference 2

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:17:28.764580Z digest=sha256:5b6540d4255e6096b8fb2ccfc1f27ef1998225a35b8c82a02eb153c3138bea53

Observation ee302f11-ccfc-4e7f-b75a-9faa71afd519 · outbound

This paper cites A survey on the development of network protocol fuzzing techniques,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining A survey on the development of network protocol fuzzing techniques,

Reference 3

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source=pdf_text observed=2026-08-06T17:17:28.792385Z digest=sha256:347df0a587cea355070e87c936f63387a8334944123e244fed0e6fdc3552ed1b

Observation e61f619c-9459-4f81-93dc-2a84ac8f44b8 · outbound

This paper cites On the Challenges of Fuzzing Techniques via Large Language Models.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining On the Challenges of Fuzzing Techniques via Large Language Models

Reference 4

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source=pdf_text observed=2026-08-06T17:17:28.822762Z digest=sha256:023f7c9bded09918a1d0c0394dd70244f5cdc83a47dfc283da762d7eb7cf0977

Observation 5e3803cd-9a75-4188-9897-9d363ec39194 · outbound

This paper cites A survey of automatic protocol reverse engineering tools,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining A survey of automatic protocol reverse engineering tools,

Reference 5

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source=pdf_text observed=2026-08-06T17:17:28.859520Z digest=sha256:684cd4697aab073f581f60cf041b3b283f50ee9d605cd2a28d371af35b099b99

Observation 8e5806c3-b0db-4357-b642-100033337fb9 · outbound

This paper cites About RFCs — ietf.org,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining About RFCs — ietf.org,

Reference 6

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:17:28.885340Z digest=sha256:44fdb56eedeb3ddd2f1b12e8470af1cc1728c3104bb36a0fe170b9bc5d5d2cfe

Observation 6ba32b21-a38a-42b1-9b67-17840f91a9a1 · outbound

This paper cites Extracting protocol format as state machine via controlled static loop analysis,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Extracting protocol format as state machine via controlled static loop analysis,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:17:28.899584Z digest=sha256:025cf4a74cf37cb3dfe1a7fe706acbe538bfeca3e3e07588b14c66838bdd0d92

Observation 98cda4f8-98f6-4605-97c9-4f0e62ac43ef · outbound

This paper cites Ferry: {State-Aware} symbolic execution for exploring {State- Dependent} program paths,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Ferry: {State-Aware} symbolic execution for exploring {State- Dependent} program paths,

Reference 8

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:17:28.985732Z digest=sha256:799294f702575a1b5057f2ccab940486adc54e34a3ef5af7f855ce634f23e92f

Observation 702b1f80-d18f-415c-b7ec-35b2e1c595c7 · outbound

This paper cites State selection algorithms and their impact on the performance of stateful network protocol fuzzing,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining State selection algorithms and their impact on the performance of stateful network protocol fuzzing,

Reference 9

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source=pdf_text observed=2026-08-06T17:17:29.069305Z digest=sha256:96de1bd37ae3b752038d85ed59903d1560ab7bf9f68b1896241c667ff2b28255

Observation dbe1b532-98ee-4d22-aa3d-320de86aa1ac · outbound

This paper cites Attention is all you need,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Attention is all you need,

Reference 10

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source=pdf_text observed=2026-08-06T17:17:29.140426Z digest=sha256:9c688c71cf982b6d7e2ca3ebe8d838010f9210bf3a9abc678cf6cea99eb214d9

Observation a8f9a521-473a-4b05-b068-c506ff363809 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Evaluating Large Language Models Trained on Code

Reference 11

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source=pdf_text observed=2026-08-06T17:17:29.210307Z digest=sha256:3b1f4263a60cb10cfcc208c9229c5a7dcd31488ec057d98a1f769ed4ea9066fa

Observation 469e52dc-7bba-4de7-9bd6-791adf5f56ce · outbound

This paper cites Language models can solve computer tasks,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Language models can solve computer tasks,

Reference 12

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source=pdf_text observed=2026-08-06T17:17:29.287301Z digest=sha256:bdcde34e4a7eace179a51621e77728abda215af48a477da1182aec521c6a5e44

Observation c991a795-53c2-4bff-b76b-1f4446aa30a5 · outbound

This paper cites Generative ai and large language models for cyber security: All insights you need,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Generative ai and large language models for cyber security: All insights you need,

Reference 13

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source=pdf_text observed=2026-08-06T17:17:29.342518Z digest=sha256:5f2c4cc061e1fdf915c6f8de7e82979ede51893b09c917273d78f58a3b474ee4

Observation 6d96bfae-6276-4ae0-a524-1e813daf52fb · outbound

This paper cites Unleashing the Power of LLM to Infer State Machine from the Protocol Implementation.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Unleashing the Power of LLM to Infer State Machine from the Protocol Implementation

Reference 14

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source=pdf_text observed=2026-08-06T17:17:29.381512Z digest=sha256:120143e65491b58078c70ac47c87c495ad8f3656702d83ac341321d0dc508105

Observation f5bd5acd-3d86-4c14-85ae-1889d6d14045 · outbound

This paper cites Prosper: Extracting protocol specifica- tions using large language models,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Prosper: Extracting protocol specifica- tions using large language models,

Reference 15

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:17:29.464451Z digest=sha256:2799258483a14fcc321b7a6675e216bd1d9744a60c3741c0fe00d48ba9b62959

Observation df5faa0f-e62a-42c0-83d1-93c9256c3e5c · outbound

This paper cites Large language model guided protocol fuzzing,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Large language model guided protocol fuzzing,

Reference 16

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source=pdf_text observed=2026-08-06T17:17:29.528020Z digest=sha256:53ba9454d626928db2619cc06b3d39bdb523584e9f6b65e100b63ed862838311

Observation 0243ab73-3188-45ef-8662-589c819b78c3 · outbound

This paper cites FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering

Reference 17

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source=pdf_text observed=2026-08-06T17:17:29.574450Z digest=sha256:a096b1af4aee47b1c93929e76d201bc5bcbf981b958e1974adc140d64c083375

Observation e85afc62-f0d6-4dbb-9495-966914d220e0 · outbound

This paper cites Can Large Language Models Help Developers with Robotic Finite State Machine Modification?.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Can Large Language Models Help Developers with Robotic Finite State Machine Modification?

Reference 18

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source=pdf_text observed=2026-08-06T17:17:29.687007Z digest=sha256:b7fd64b4c6cc01a3874be9701588b5b3492f1764e79fedb4b9c551447accd07f

Observation 2331e0fa-3f93-4031-bd4c-d3e04b1959c8 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining ReAct: Synergizing Reasoning and Acting in Language Models

Reference 19

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source=pdf_text observed=2026-08-06T17:17:29.791883Z digest=sha256:964281b12bdc5c7401b7354e1390e411936cd823888d8031ecd88c39a43b5f07

Observation 51792aa0-2d1c-4781-a9cb-3876ec15eb28 · outbound

This paper cites Ai chains: Transparent and controllable human-ai interaction by chaining large language model prompts,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Ai chains: Transparent and controllable human-ai interaction by chaining large language model prompts,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:17:29.941968Z digest=sha256:458f4197f25ff11ff4c4a6a471ca2e6fdbd363c1249be22348a6b284ef81ca26

Observation db53f5ad-0aec-4dd3-afbe-f81035510062 · outbound

This paper cites Aflnet: a greybox fuzzer for network protocols,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Aflnet: a greybox fuzzer for network protocols,

Reference 21

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source=pdf_text observed=2026-08-06T17:17:30.039403Z digest=sha256:2f72a579ed845dbec0b8376300dd3547f07b57cf9dfab91a8bb60209de13d342

Observation 8a7bb3f3-6135-4f59-b821-253becc872da · outbound

This paper cites Automated attack synthesis by extracting finite state machines from protocol specification documents,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Automated attack synthesis by extracting finite state machines from protocol specification documents,

Reference 22

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:17:30.121156Z digest=sha256:d1f7185b62fcf6b5022c24612279bf9aa1a541cdbe1f9f8031af5187a6316d50

Observation 2880220f-0a62-4ed0-affe-6781ac70982a · outbound

This paper cites Hermes: unlocking security analysis of cellular network protocols by synthesizing finite state machines from natural language specifications,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Hermes: unlocking security analysis of cellular network protocols by synthesizing finite state machines from natural language specifications,

Reference 23

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:17:30.196653Z digest=sha256:d18cc1b6b09512c9dd9a873687644dd43d66089a46a83fa892a44d63d80d08de

Observation 5f98e790-b6cf-42d4-a6e0-6cfb38451626 · outbound

This paper cites Netplier: Probabilistic network protocol reverse engineering from message traces.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Netplier: Probabilistic network protocol reverse engineering from message traces

Reference 24

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:17:30.318788Z digest=sha256:16667a3374c06c12ed229d1d96447e921064398fb75139b4a615098e5ef61a6a

Observation 1469c4e7-1404-4d14-946c-0baec65604cd · outbound

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

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 25

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source=pdf_text observed=2026-08-06T17:17:30.439301Z digest=sha256:8e65ce86b4fd1d5c0400d8d3b210a2764f86d0f6709be9fbf1d95e37c59d2f98

Observation 5bf4dc6c-0884-4ca2-9de6-882eebaf9660 · outbound

This paper cites Chatphishdetector: Detecting phishing sites using large language models,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Chatphishdetector: Detecting phishing sites using large language models,

Reference 26

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source=pdf_text observed=2026-08-06T17:17:30.486784Z digest=sha256:9bfea95f912e542b1108f3b00fb87787a6536db50e9c77dd4dba77088796e6f2

Observation 9ddc3fa9-6ccb-4b3d-adf8-4f5c89611e7f · outbound

This paper cites PentestAgent: Incorporating LLM Agents to Automated Penetration Testing.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining PentestAgent: Incorporating LLM Agents to Automated Penetration Testing

Reference 27

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source=pdf_text observed=2026-08-06T17:17:30.502605Z digest=sha256:2013771a06c8f5fe01cdd00be76b22163c2e489f51db9047239141c4a3f5439d

Observation 91e272ef-5d27-40e8-92a2-6f9792a33ef6 · outbound

This paper cites Erpa: Efficient rpa model integrating ocr and llms for intelligent document processing,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Erpa: Efficient rpa model integrating ocr and llms for intelligent document processing,

Reference 28

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source=pdf_text observed=2026-08-06T17:17:30.569164Z digest=sha256:6614789ae5d0ef0dabbfca99a6173914ae24c59af40cff9b2a6a268b58f11d3b

Observation 0f4e3929-d65c-4cc6-8f19-fde51fc1089a · outbound

This paper cites LMRPA: Large Language Model-Driven Efficient Robotic Process Automation for OCR.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining LMRPA: Large Language Model-Driven Efficient Robotic Process Automation for OCR

Reference 29

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source=pdf_text observed=2026-08-06T17:17:30.633268Z digest=sha256:8e8760946da608524af0502664894d2cae4a81e2a3bb279f616239a3a62fe503

Observation d8006a94-454a-4f31-a294-60acca44d457 · outbound

This paper cites LMV-RPA: Large Model Voting-based Robotic Process Automation.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining LMV-RPA: Large Model Voting-based Robotic Process Automation

Reference 30

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source=pdf_text observed=2026-08-06T17:17:30.671594Z digest=sha256:a5cdbae0e1d8f2a4879005443feb129f7c5ed201210b0bfc5d8ddd2c300ed9e5

Observation 76d04fc8-fa9d-4917-87a8-7adea4b64d19 · outbound

This paper cites LLM-DaaS: LLM-driven Drone-as-a-Service Operations from Text User Requests.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining LLM-DaaS: LLM-driven Drone-as-a-Service Operations from Text User Requests

Reference 31

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local_arxiv, observed 2026-08-06T17:17:31.335243Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:17:30.730348Z digest=sha256:01fe6a48bff7a31fa3ccc8ac291619a53933092d1c1004f7562f666b1fc0d726

Observation 0c013522-a10d-450b-bbc0-d30aa00c58c4 · outbound

This paper cites Codamosa: Escaping coverage plateaus in test generation with pre-trained large language models,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Codamosa: Escaping coverage plateaus in test generation with pre-trained large language models,

Reference 32

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source=pdf_text observed=2026-08-06T17:17:30.783762Z digest=sha256:c1b2d5fe7fbe776d9e652791000d37fe3b80d22c11221cbb475f31e3223e4bd4

Observation 3b88f028-9064-4080-81b8-a02d1f7af3f8 · outbound

This paper cites Augmenting Greybox Fuzzing with Generative AI.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Augmenting Greybox Fuzzing with Generative AI

Reference 33

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source=pdf_text observed=2026-08-06T17:17:30.818610Z digest=sha256:ecb9df8c17cff02431bff5bc218a9e9e3b0aa070b71bdb62be8a33b1a55353e8

Observation 8f3e3615-7274-478f-9bf7-635f340014c5 · outbound

This paper cites Harnessing Large Language Models for Seed Generation in Greybox Fuzzing.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Harnessing Large Language Models for Seed Generation in Greybox Fuzzing

Reference 34

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source=pdf_text observed=2026-08-06T17:17:30.844985Z digest=sha256:1011887cc6eeaa3cfeaeeee4f4eebb841205bffff54e360f8e32fba4c5375d0b

Observation b19af96b-1f98-4c56-8ed6-f7644207d597 · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 35

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source=pdf_text observed=2026-08-06T17:17:30.907523Z digest=sha256:d99f541a051ec8e9c20e9826477ec540094ac79cdc883200040bd92a38cbc4ce

Observation 365fff6b-aeef-4678-83bc-4cf0e5201475 · outbound

This paper cites Retrieval Augmented Generation Based LLM Evaluation For Protocol State Machine Inference With Chain-of-Thought Reasoning.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Retrieval Augmented Generation Based LLM Evaluation For Protocol State Machine Inference With Chain-of-Thought Reasoning

Reference 36

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unresolved
no resolver link, observed 2026-08-06T17:17:30.920702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:17:30.920702Z digest=sha256:4e45d5218168522332bd4ae16bfb8144fcb2d352b03d1a950ad0c1144e675437

Observation 8caf1aa5-fd46-4496-b757-482e44b8c544 · outbound

This paper cites an unresolved cited work.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:17:31.921380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:17:30.990706Z digest=sha256:2b274b35bf2d38205fafc7dde39839909c30eaa4bad3bcc53e3d87e11b552d92

Pith citing papers

No inbound Pith citation observations are available.