Pith. sign in

Paper Citation Record · LEDGER

Guiding LLM-based Smart Contract Generation with Finite State Machine

As of 16 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2505.08542.

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

pith.paper-citation-record.v1
2505.08542 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:56:38.836907Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:15:52.758551Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:09:20.743652Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact1
  • verified fuzzy28
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c44fa2be-4ba5-4b40-8e2f-cf3e5a41896c · outbound

This paper cites Ver- ification of smart contracts: A survey.

Guiding LLM-based Smart Contract Generation with Finite State Machine Ver- ification of smart contracts: A survey

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.236057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.710134Z digest=sha256:45256bae7b693039d1afcff2e831e7d6df3a9a95dabd675aa6f965f1ecfb8db5

Observation 8b6d27e9-c349-4d9a-8a58-2c7756681444 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Guiding LLM-based Smart Contract Generation with Finite State Machine Lora: Low-rank adaptation of large language models

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.201977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.726989Z digest=sha256:d558edce4ed603a3aabf570061ea2ad528863b16b82c6e6a45c7586ec97495cb

Observation 916c0dc7-c775-4e29-a537-35acdd868759 · outbound

This paper cites Retrofitting Temporal Graph Neural Networks with Transformer.

Guiding LLM-based Smart Contract Generation with Finite State Machine Retrofitting Temporal Graph Neural Networks with Transformer

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T21:56:38.730756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:56:38.730756Z digest=sha256:38daaac5bf5ac613716028bc8689920605cb1e643397545c050a8f1b9cfb9207

Observation 518d734f-b481-4f9f-9968-188cc82683eb · outbound

This paper cites A Survey on Large Language Models for Code Generation.

Guiding LLM-based Smart Contract Generation with Finite State Machine A Survey on Large Language Models for Code Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T21:56:38.734511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:56:38.734511Z digest=sha256:e42157dce611e9dfb1186f7df7ad50228ed937f050dbfb9e7dbdaccae11cf83f

Observation c6e01518-0a03-40f7-8d3c-c1208b18ae28 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for lan- guage understanding.

Guiding LLM-based Smart Contract Generation with Finite State Machine Bert: Pre-training of deep bidirectional transformers for lan- guage understanding

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.190150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.738415Z digest=sha256:cd7ef6af7c1891cad4fe2330593aac79e9ea92f5594028d7bdb777755ece0033

Observation dd59906d-9149-45e6-8bbb-bef32b708f7e · outbound

This paper cites Blockchain smart contracts: Applications, challenges, and future trends.

Guiding LLM-based Smart Contract Generation with Finite State Machine Blockchain smart contracts: Applications, challenges, and future trends

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.179320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.742232Z digest=sha256:8f54d62e5a945e1f50e17bdb54bf2a8cba18b6fadb01821c2c7d9e857cd34f44

Observation ee00e1cb-8710-4ec7-8f6f-4371c3854ba0 · outbound

This paper cites When moe meets llms: Parameter efficient fine-tuning for multi-task medical applications.

Guiding LLM-based Smart Contract Generation with Finite State Machine When moe meets llms: Parameter efficient fine-tuning for multi-task medical applications

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.169514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.751453Z digest=sha256:cfad494f3755e4b8d8fe99825ee3b95bccebc7f53a96befbffffecfb7f168eef

Observation 87e57d79-8201-452d-b225-8f41a2379e12 · outbound

This paper cites Structured chain-of-thought prompting for code genera- tion.

Guiding LLM-based Smart Contract Generation with Finite State Machine Structured chain-of-thought prompting for code genera- tion

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.160059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.754904Z digest=sha256:5dc4c20875ff69c8929c23020e2276b6d283fc6a1c70952cba933e8172f5366b

Observation 68f3bd1a-1639-49d4-9762-6b7980ae8198 · outbound

This paper cites Making smart con- tracts smarter.

Guiding LLM-based Smart Contract Generation with Finite State Machine Making smart con- tracts smarter

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.130151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.765791Z digest=sha256:b39109293f27c0eb092f0d0ad406324583e75a195dbe4867f098dcd14b5c4a19

Observation 3dd5b834-6bdb-4797-aec6-218af434b37a · outbound

This paper cites Tool demonstration: Fsolidm for designing secure ethereum smart contracts.

Guiding LLM-based Smart Contract Generation with Finite State Machine Tool demonstration: Fsolidm for designing secure ethereum smart contracts

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.109590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.772798Z digest=sha256:56f5e9455dfe28f86a8edff4d6f17f94d2bdb42243b8f40f612ae3dcba83b014

Observation 48885395-a66e-4447-ad83-e8299f2ddf5c · outbound

This paper cites Model-driven smart contract generation lever- aging chatgpt.

Guiding LLM-based Smart Contract Generation with Finite State Machine Model-driven smart contract generation lever- aging chatgpt

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.088394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.779260Z digest=sha256:fa4c4e08ce7423ad610f705d0ea635269d825ab0c71145dcc538078241943486

Observation f7e22904-a922-4d9f-ad5d-56b45218a226 · outbound

This paper cites Synchromesh: Reliable code generation from pre-trained language models.

Guiding LLM-based Smart Contract Generation with Finite State Machine Synchromesh: Reliable code generation from pre-trained language models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T21:56:38.782520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:56:38.782520Z digest=sha256:c29a54cda07cdb32d19b20c2c121a327d0e5b34b0fffce9db43894dfd212c8aa

Observation 1a9aad9e-55b0-43cb-98d0-789042f53a69 · outbound

This paper cites Smart contract: Attacks and protections.

Guiding LLM-based Smart Contract Generation with Finite State Machine Smart contract: Attacks and protections

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.066336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.789653Z digest=sha256:775636868ae9f0a1b0af560d78078d1d52588feebb26e90d4c1798e1d09be2bf

Observation 0f2b8ff7-0251-4e24-85ba-62327c39e27f · outbound

This paper cites Das contract-a visual domain specific language for modeling blockchain smart contracts.

Guiding LLM-based Smart Contract Generation with Finite State Machine Das contract-a visual domain specific language for modeling blockchain smart contracts

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.055537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.793011Z digest=sha256:6e02a93004285ee8148640b307fa9de212b372c40d8f60041b0fea163269c74f

Observation b6508d4c-b16d-4e5b-92a6-a5f4798b254b · outbound

This paper cites Smart Contract Design Meets State Machine Synthesis: Case Studies.

Guiding LLM-based Smart Contract Generation with Finite State Machine Smart Contract Design Meets State Machine Synthesis: Case Studies

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T21:56:38.796305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:56:38.796305Z digest=sha256:f646a2dd41b55fb74a9304600e47299ef04702ea989a7e9fe00b7a1971990109

Observation ec62d8b3-b22a-4327-948e-104238964744 · outbound

This paper cites Lorikeet: A model-driven engineering tool for blockchain-based business process execution and as- set management.

Guiding LLM-based Smart Contract Generation with Finite State Machine Lorikeet: A model-driven engineering tool for blockchain-based business process execution and as- set management

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.044260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.799889Z digest=sha256:d06cd27728dee73fbdab0a432dd37e5786e8baa6e143b423f63b1cbc2dd42302

Observation 91458ab8-8136-48e9-9005-26d977abbf1b · outbound

This paper cites An overview of smart contract: architecture, applications, and future trends.

Guiding LLM-based Smart Contract Generation with Finite State Machine An overview of smart contract: architecture, applications, and future trends

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.032801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.803713Z digest=sha256:dfeddffb9c3649a15eff4b3782ef023f6269e3822cc53acae9759240495c8e5a

Observation 468cbed5-6f16-4756-ab24-c1e5817d2061 · outbound

This paper cites Self-supervised learning for graph dataset condensation.

Guiding LLM-based Smart Contract Generation with Finite State Machine Self-supervised learning for graph dataset condensation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.021000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.807077Z digest=sha256:151109c897b5f2433c0e869782ac82524484fa6ceb81c94f45918c46302014ca

Observation ad38f411-f23c-4e5c-a7ad-b2657274e585 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Guiding LLM-based Smart Contract Generation with Finite State Machine Chain-of-thought prompting elicits reasoning in large language models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T21:56:38.810392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:56:38.810392Z digest=sha256:670fa6ce19ebaf734583a87dd987f82625798da902ddbcc21bea1a2fdbd70b95

Observation adec98fc-8edf-4c84-923c-5139ba43a666 · outbound

This paper cites Domain specific language for smart contract devel- opment.

Guiding LLM-based Smart Contract Generation with Finite State Machine Domain specific language for smart contract devel- opment

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.004948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.813927Z digest=sha256:7978722fde85e4ee99a030ef258536846e3c337e7338e9644d05eb663e56e5a1

Observation fdbaa25b-b167-481c-b9e3-08a0e978d6ee · outbound

This paper cites Efficient multi-task llm quanti- zation and serving for multiple lora adapters.

Guiding LLM-based Smart Contract Generation with Finite State Machine Efficient multi-task llm quanti- zation and serving for multiple lora adapters

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:38.994623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.817360Z digest=sha256:4df848104c832f9390764ec82af8d6c24dc2d2d6b8a79bf02205233931b95aa6

Observation 62dbe5d6-9084-4b5a-85ab-4005d3e9461a · outbound

This paper cites Harnessing the power of llms in practice: A survey on chatgpt and be- yond.

Guiding LLM-based Smart Contract Generation with Finite State Machine Harnessing the power of llms in practice: A survey on chatgpt and be- yond

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:38.983660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.821474Z digest=sha256:776f65f3528d33e6e37d794034476aebead731833896016ff8fcf50a65dd4b70

Observation 6eb7dbe6-3f7d-4935-ba6b-b265ff4c96ba · outbound

This paper cites Smart contract gen- eration model based on code annotation and ast-lstm tun- ing,.

Guiding LLM-based Smart Contract Generation with Finite State Machine Smart contract gen- eration model based on code annotation and ast-lstm tun- ing,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:38.972280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.825718Z digest=sha256:66b5cc12d23fc4d83ebd84c9b0acb21ebcb7944739ee4fda4b624c2da63d3ec0

Observation 0371f997-c3d7-4232-8b5d-54e787ae09e8 · outbound

This paper cites Treecss: An efficient framework for verti- cal federated learning.

Guiding LLM-based Smart Contract Generation with Finite State Machine Treecss: An efficient framework for verti- cal federated learning

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:38.961757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.829139Z digest=sha256:87f74ede7e441f1ec1925041e0f4e0341f535f9d5edf5fe1407b202cb939db53

Observation 81f6db32-467f-4820-a33d-31d145ccc55e · outbound

This paper cites Recommender systems in the era of large language models (llms).

Guiding LLM-based Smart Contract Generation with Finite State Machine Recommender systems in the era of large language models (llms)

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:38.950523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.832735Z digest=sha256:1912801a6c0e3b4bab94e50e032bc17a7bacf49ad475a29655055809caef9974

Observation 4b61dfca-d847-4e95-b3e8-f3f72eb31e68 · outbound

This paper cites 1 for other notations.

Guiding LLM-based Smart Contract Generation with Finite State Machine 1 for other notations

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:38.938935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.836907Z digest=sha256:47190b6aadfdba240423e5ff2fcce3024a5d618ef7e7a1208cc647146fd4551c

Observation 41da4c4a-800d-4f81-bd4d-2bbab21f724e · outbound

This paper cites Visual and user-defined smart contract de- signing system based on automatic coding.

Guiding LLM-based Smart Contract Generation with Finite State Machine Visual and user-defined smart contract de- signing system based on automatic coding

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.120149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.769252Z digest=sha256:913b69721ec9ed831059996140bbe1cffc3bda6d69a2c35730d3146d16462059

Observation ccfaf59c-d7a6-4a54-a4d2-37b8d9d90bfd · outbound

This paper cites Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks.

Guiding LLM-based Smart Contract Generation with Finite State Machine Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.140468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.762582Z digest=sha256:7fab4b9a7ded29ae0a0ec3e2c7bde25f6192ce1a7532924415b14c255bc34ce3

Observation 8ed64968-6c29-4035-b79b-446124c054fd · outbound

This paper cites Lever- aging large language models for automatic smart contract generation.

Guiding LLM-based Smart Contract Generation with Finite State Machine Lever- aging large language models for automatic smart contract generation

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.099238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.775965Z digest=sha256:f3f997b0e71952fe6c6015af3e988516a431dad7765a05baece7cb349fb65b1d

Observation 603f965b-759c-470c-bd99-6ac0816396d9 · outbound

This paper cites Slither: a static analysis framework for smart contracts.

Guiding LLM-based Smart Contract Generation with Finite State Machine Slither: a static analysis framework for smart contracts

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.212281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.722437Z digest=sha256:3cd5f85402011d25aca90fa8c7d9d9eb25f326e68f42623d05a8a39f9b0883a2

Observation 8167dd0f-64a0-4c57-acec-f695d0a9756a · outbound

This paper cites Efficacy of Various Large Language Models in Generating Smart Contracts.

Guiding LLM-based Smart Contract Generation with Finite State Machine Efficacy of Various Large Language Models in Generating Smart Contracts

Reference 2020

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:56:38.924965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.714702Z digest=sha256:0e45ff24ddca1a78156e49b9d9da3ee6a6a638ac629d7be9bc9e52ad78c2e5ee

Observation cafd1067-fae7-4e5d-8c01-536756dd61af · outbound

This paper cites Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages.

Guiding LLM-based Smart Contract Generation with Finite State Machine Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-15T21:56:38.746269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:56:38.746269Z digest=sha256:352cb171a8e284fc67606882d6cc9d6b1c6a3a1a68b02c760ff8cc836cf3982d

Observation aabc7e78-43ee-4479-9d01-33e0f61ecc6b · outbound

This paper cites Chat2code: A chatbot for model specification and code generation, the case of smart contracts.

Guiding LLM-based Smart Contract Generation with Finite State Machine Chat2code: A chatbot for model specification and code generation, the case of smart contracts

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.077103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.786208Z digest=sha256:bcde84faae3c37d438d719d5cf839c9170aa25d1a67568f349f92381371b67f5

Observation 8de59bd2-edda-4bd9-9b8f-3782e4df9a23 · outbound

This paper cites Caterpillar: A blockchain-based business process manage- ment system.

Guiding LLM-based Smart Contract Generation with Finite State Machine Caterpillar: A blockchain-based business process manage- ment system

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.150360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.758703Z digest=sha256:606f0dff3a292b491b298825fe54ea6230d4d59665f46f08d9a71f7bd8043a20

Observation ffe98f99-6320-4bed-ac8c-c3a8d08bd1f2 · outbound

This paper cites Smart contract templates: foundations, design landscape and research directions (2016).

Guiding LLM-based Smart Contract Generation with Finite State Machine Smart contract templates: foundations, design landscape and research directions (2016)

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:39.223855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:56:38.718724Z digest=sha256:940aa9e188c8535e233a981904dbd7e4803505479902f4221ad84dcb6cb70ffa

Pith citing papers

Observation adca93b6-fc2b-46cd-9aca-bdaf138553d1 · inbound

On LLM-Assisted Generation of Smart Contracts from Business Processes cites this paper.

On LLM-Assisted Generation of Smart Contracts from Business Processes Guiding LLM-based Smart Contract Generation with Finite State Machine

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T11:09:20.750424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T11:09:20.076833Z digest=sha256:f73d2ba7761794e45413ef3d4f7976903da2b70d20ee059c2b34e03efb9b681b

Observation 086b98dc-5eee-4e38-a8d5-78676571e7c6 · inbound

SoK: Security and Privacy of AI Agents for Blockchain cites this paper.

SoK: Security and Privacy of AI Agents for Blockchain Guiding LLM-based Smart Contract Generation with Finite State Machine

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-15T16:15:52.758551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:15:52.758551Z digest=sha256:a96bba7029e17649be47e062889d3492b1358e720319a171ebbc60cdcff7d948