{"as_of":"2026-08-18T15:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ffcbef02bed5f1f670c8bf96020eaea58e667915dc4010c5b9d0e58ff0c28823","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:17:01.875358Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T09:54:42.373926Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T03:36:29.634838Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"cited_work":{"arxiv_id":"2501.02229","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.02229","snapshot_observed_at":"2026-07-02T03:36:29.634838Z","title":null,"venue":null,"work_id":"0395d2c6-94fc-4bbf-aa4b-e92976aece21","year":null},"citing_paper":{"arxiv_id":"2606.03387","last_updated":"2026-06-02T09:31:22Z","snapshot_observed_at":"2026-08-13T04:12:41.689191Z","submitted_at":"2026-06-02T09:31:22Z","title":"Bastet: A Fine-Grained Expert-Labeled Dataset for DeFi Smart Contract Vulnerability Detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-28T09:54:42.373926Z"},"links":{"cited_paper":"/paper/2501.02229","citing_paper":"/paper/2606.03387"},"observation_digest":"sha256:b101f58260321c65e9fc5293b02f9dadab4c9ed082ea872f0c9bd0f82db36c8d","observation_id":"79bb8359-ebdb-428e-8967-ffe99a2e2eac","resolution":{"observed_at":"2026-07-02T03:36:29.636796Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.02229/citation-record","integrity":"/paper/2501.02229/integrity","json":"/paper/2501.02229/citation-record.json","paper":"/paper/2501.02229"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:03.536854Z","title":"Ethereum smart contract vulnerability detection and machine learning-driven solutions: A systematic literature review,","venue":null,"work_id":"a8f4ae38-901a-430f-bceb-a22c7d391b2a","year":2024},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.677894Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:34bdab7f600cbeb27144300ea3947058b4430497cfe13c38ff5e2a2ba5284f0a","observation_id":"be3e6ff2-70c6-4059-9516-51196a7d9ab1","resolution":{"observed_at":"2026-08-10T22:17:03.542407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1117/12.2618899","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:01.998280Z","title":"A survey on ethereum smart contract vulnerability detection using machine learning,","venue":null,"work_id":"3f0fa196-e35d-408b-908b-340cb626eff4","year":2022},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.685584Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:b418f3c291d636e6709481b04d31535f6023bbf7479a9ec1d971053f51d964a0","observation_id":"ce924400-086a-412e-a641-af8784e797c6","resolution":{"observed_at":"2026-08-10T22:17:02.003604Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:01.691047Z","title":"How effective are smart contract analysis tools? evaluating smart contract static analysis tools using bug injection,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.691047Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:6eb43c43563626fa084aaf7a4fc303566efb0d0f79b6310da3b6a6c0728319c3","observation_id":"4562a083-a35e-4981-9403-9440a6d7402e","resolution":{"observed_at":"2026-08-10T22:17:01.691047Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:03.520348Z","title":"Attention-based machine learning model for smart contract vulnerability detection,","venue":null,"work_id":"55f3571a-a531-4280-bc1f-a29f577dede2","year":null},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.697141Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:8244cc95f0200b01239e7ced8b89da376044b99bdcc09aa8064beceb633eb032","observation_id":"df301bf7-2aa6-4438-a375-8bc0d6f813bd","resolution":{"observed_at":"2026-08-10T22:17:03.525397Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.31962","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:03.296672Z","title":"Vulnerability analysis of smart contract for blockchain-based iot applications: a machine learning approach,","venue":null,"work_id":"a120d82d-2f2a-4a62-8de2-091677658a6d","year":2022},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.707458Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:93503dbbf9e6796e19f7f2ac75804b8b3a05cd87e10a8c33b1e877fd911d110b","observation_id":"13a50d71-6135-4144-b327-241d8f434f10","resolution":{"observed_at":"2026-08-10T22:17:03.308357Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41598-023-47219-0","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:01.963915Z","title":"Deep learning- based solution for smart contract vulnerabilities detection,","venue":null,"work_id":"d18d7295-fbe4-4f66-8b57-4c23812709a5","year":2023},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.712682Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:811ea54c9055892e11be9990b25953fa363838b6a07069444872cc976e4d98a4","observation_id":"b7ca35a9-81f1-478f-b24f-302d208429fa","resolution":{"observed_at":"2026-08-10T22:17:01.969543Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"7251.36872","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:03.223019Z","title":"Smart contract vulnerability detection: The role of large language model (llm),","venue":null,"work_id":"7af826a3-2404-435d-8aa2-47c78c2fbc51","year":2024},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.717680Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:a6ab6801b8ec60a76e2509dc6ff420c2c45e906e4a86f8ec781e81b4e272ebf9","observation_id":"f9bf0ea3-1843-4715-95ff-cc3e7007a24f","resolution":{"observed_at":"2026-08-10T22:17:03.230901Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:01.723246Z","title":"Robust vulnerability detection in solidity-based ethereum smart contracts using fine-tuned transformer encoder models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.723246Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:034e6b896701a49366485c66ed71a80d86b0a47b1d4b647240820cb3182d8846","observation_id":"b8dd2eaa-bcd8-4f78-87aa-657ba2a456bc","resolution":{"observed_at":"2026-08-10T22:17:01.723246Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:01.728912Z","title":"Long short-term memory,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.728912Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:2f304df3e18a3ff9e098158767ee2b060237f58a2780412813cba4d50add8217","observation_id":"8904e183-882c-47ee-9b01-8b5572b48fdd","resolution":{"observed_at":"2026-08-10T22:17:01.728912Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.01108","last_updated":"2020-03-01T02:57:50Z","snapshot_observed_at":"2026-08-07T19:07:36.327251Z","submitted_at":"2019-10-02T17:56:28Z","title":"DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.01108","snapshot_observed_at":"2026-08-10T22:17:01.733815Z","title":"Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter,","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.733815Z"},"links":{"cited_paper":"/paper/1910.01108","citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:175d4bef8bf0bf31794ab20bf98237233067d5172c616cbdde7cf1280838c6aa","observation_id":"3ffea0b4-213b-42e5-b8be-cf3a58459d83","resolution":{"observed_at":"2026-08-10T22:17:01.733815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-08-14T18:16:28.847993Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-10T22:17:01.739192Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.739192Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:5b711f70b3638ea52710c6629a9c9401240078b33b9bcfcb7272458537bbe42e","observation_id":"4238689b-7612-42c5-b2f9-26bc9238f99e","resolution":{"observed_at":"2026-08-10T22:17:01.739192Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2020.90502","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:03.031891Z","title":"Reentrancy vulnerability identification in ethereum smart contracts,","venue":null,"work_id":"11112640-26c3-4434-871d-e304847f5863","year":2020},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.743972Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:39bc1e242c9e162ac499192f0a2a01e54e7470c85a6db46bfd3be516f8292fe8","observation_id":"1626e3e2-985a-41a4-931e-f9a487851e19","resolution":{"observed_at":"2026-08-10T22:17:03.039900Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"7644.33776","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:02.957043Z","title":"Static analysis of integer overflow of smart contracts in ethereum,","venue":null,"work_id":"863ee441-1d8e-4a5a-b8b2-3031d9d87208","year":2020},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.748653Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:d7cdb7cbf808c13f17f8aa251246cbbd5aeefaa2b43a79027549da89b3b5e4dd","observation_id":"84349f9e-f27d-4f57-8579-45aaea5ec571","resolution":{"observed_at":"2026-08-10T22:17:02.965999Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/iwbose.2018","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:01.937792Z","title":"Smart contracts: security patterns in the ethereum ecosystem and solidity,","venue":null,"work_id":"95dae5fd-7303-42d5-800a-b792b5b1a8fc","year":2018},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.753306Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:dcbbe88df30938df4d3682dbac633926d1f9335f0eb16a3e5c4e3a05a0e51271","observation_id":"a19218d3-15c1-4c67-bc39-1de1016cfdc0","resolution":{"observed_at":"2026-08-10T22:17:01.943216Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:01.758988Z","title":"Slither: a static analysis framework for smart contracts,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.758988Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:55b17899821181ea3e12358108dbd9f4ad60d006f6644bd477bc3726b362c099","observation_id":"de300362-606d-4cc4-926b-a43c9fc2fd01","resolution":{"observed_at":"2026-08-10T22:17:01.758988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"6778.2022","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:02.795117Z","title":"Smart contract vulnerability detection based on abstract syntax tree,","venue":null,"work_id":"70efb90b-b317-4ac3-ae9f-a0e47e3ea875","year":2022},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.763696Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:5389690998e78625df7ec82f4ccca824fc19897258abbb002f53cefd8780e2c6","observation_id":"f8a591af-a046-47c0-a388-0936cbc029e0","resolution":{"observed_at":"2026-08-10T22:17:02.804443Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:03.503371Z","title":"Ethereum smart contract vulnerability detection and machine learning-driven solutions: A systematic literature review,","venue":null,"work_id":"02dd0391-94ec-4c28-93a9-38f5b258d3ee","year":2024},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.768304Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:e6d0351928dddc6fa3898b4b95bf9e797a9b9339e28e0de1e965e20161193082","observation_id":"b95136b4-f46c-4659-8b84-2d7113122267","resolution":{"observed_at":"2026-08-10T22:17:03.509411Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:03.485882Z","title":"Smart contract vulnerability detection using deep learning algorithms on evm bytecode,","venue":null,"work_id":"ee4885f2-ea53-4484-8a85-39221b67b682","year":2024},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.773437Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:4b94da341971d6d6bfa4cbda66437c0ffdd2a4257de8310467ea2a355b45c70c","observation_id":"ce39023b-fb36-4889-8c79-b11281493176","resolution":{"observed_at":"2026-08-10T22:17:03.491482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"7209.2022","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:02.624917Z","title":"Gvd-net: Graph embedding- based machine learning model for smart contract vulnerability detection,","venue":null,"work_id":"84ac08ca-54ef-486b-88e4-d6ac052df976","year":2022},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.782990Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:008a87e7afa365917d9699d7ca5d7893425c9817d25e00a4de3ea16e64505a49","observation_id":"81fb75f2-04ee-476a-82c2-f8011821efaa","resolution":{"observed_at":"2026-08-10T22:17:02.633934Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:01.787591Z","title":"Detection of vulnerabilities of blockchain smart contracts,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.787591Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:71684b55b4e7b2c7936548f0030f013d370bd13c1aa930a75d93864c78ac1ebb","observation_id":"9f4e5705-8041-4805-a2d6-57968f48fc28","resolution":{"observed_at":"2026-08-10T22:17:01.787591Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:01.792386Z","title":"Smart contract vulnerability detection using graph neural networks,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.792386Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:1b950ef565f4371205378de82b81033150056c6717bc7a4b49d187045871b00f","observation_id":"c3913c0f-aaac-4c40-8442-813f233f913b","resolution":{"observed_at":"2026-08-10T22:17:01.792386Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:01.797241Z","title":"Effectively generating vulnerable transaction sequences in smart contracts with reinforcement learning-guided fuzzing,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.797241Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:7f467bf5ca48af377ba07a75c7b61da6982d3614686d08db6ec2d50054e37141","observation_id":"c428e1a0-6fbb-4588-83eb-2aa70e649909","resolution":{"observed_at":"2026-08-10T22:17:01.797241Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1049/blc2.12046","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:01.907615Z","title":"Scgformer: Smart contract vulnerability detection based on control flow graph and transformer,","venue":null,"work_id":"1ef0402a-c543-4949-ad50-9c1c873133e1","year":2023},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.801810Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:40496c517fb77b1ee78a463df5bacd0e11bf74de52646a40731059af53984ee9","observation_id":"84d9fba5-1803-403c-8428-badda4741130","resolution":{"observed_at":"2026-08-10T22:17:01.915097Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.03943","last_updated":"2023-01-12T12:57:32Z","snapshot_observed_at":"2026-08-16T16:03:22.067834Z","submitted_at":"2023-01-10T12:54:08Z","title":"Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting","version":2},"cited_work":{"arxiv_id":"2301.03943","doi":null,"metadata_source":"pith","pith_arxiv_id":"2301.03943","snapshot_observed_at":"2026-08-10T22:17:02.342260Z","title":"Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting","venue":"cs.CR","work_id":"db5127f2-09db-4aff-94fa-fa035e0838e0","year":2023},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.826137Z"},"links":{"cited_paper":"/paper/2301.03943","citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:4176e3472ae12c1d27003f58fc7bdd2efb0731bc32dbaf27de7ba86a4d15a9f9","observation_id":"14d8c9da-fbea-47f7-9497-1fa0799fde2b","resolution":{"observed_at":"2026-08-10T22:17:02.348566Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.16073","last_updated":"2024-09-14T07:18:14Z","snapshot_observed_at":"2026-08-16T14:06:59.619782Z","submitted_at":"2024-03-24T09:26:53Z","title":"Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.16073","snapshot_observed_at":"2026-08-10T22:17:01.811641Z","title":"Available: https://arxiv.org/abs/2403.16073","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.811641Z"},"links":{"cited_paper":"/paper/2403.16073","citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:021a3a02132376f67d7d17a6530d75986b354003ac2d70f452f08d222c10843b","observation_id":"ae925d2c-d2fa-443e-b2b3-ce59576e8340","resolution":{"observed_at":"2026-08-10T22:17:01.811641Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:03.468272Z","title":"Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network,","venue":null,"work_id":"7db304e8-023c-4187-a18e-7fe7fa1dbe6c","year":2020},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.840673Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:8e3a242e49d6a7380c9e1015ede682ce0d1498844a87edd53221dff32fcfb677","observation_id":"f37b7f54-6dd9-4dab-9f09-851b814fb1f6","resolution":{"observed_at":"2026-08-10T22:17:03.473429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:03.451511Z","title":"Bidirectional lstm with attention mechanism and convolutional layer for text classification,","venue":null,"work_id":"b160d95c-62f7-480a-b760-381d021981bf","year":2019},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.845371Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:8612086ebe3cafa64bc747c59b3d1ec9c51e3ca25ed5d0b3769d737058e3a595","observation_id":"0f81a4ac-d0f6-4984-aacc-bfbfd66e0968","resolution":{"observed_at":"2026-08-10T22:17:03.457111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:03.434368Z","title":null,"venue":null,"work_id":"29406b4a-fcc3-4011-8dea-7819ff118642","year":null},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.850078Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:15a074296a39d2db4ffb9acfc6a086b6cd9163fb8fd5f12b14d5e77bfb339691","observation_id":"2870c423-de21-4daa-bf18-1686f954180c","resolution":{"observed_at":"2026-08-10T22:17:03.439419Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:03.417539Z","title":"Assbert: Active and semi-supervised bert for smart contract vulnerability detection,","venue":null,"work_id":"e4de0b6d-2627-4f39-8e31-38a728f60363","year":2023},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.855894Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:3d27be109d93d0ec62cb750a98fd866fc61cc6482fe359ad0065b977508302b1","observation_id":"72fddc8a-f252-4dc6-83b7-2b5e6d13fcad","resolution":{"observed_at":"2026-08-10T22:17:03.422876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:01.836071Z","title":"Smartbugs: A framework to analyze solidity smart contracts,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.836071Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:adb61767a4d2ed0c1e3fe504d0b34d08da75371e52da330c2e24fd7724acb475","observation_id":"dea09aac-70c8-4138-a3f6-846c542a2bcb","resolution":{"observed_at":"2026-08-10T22:17:01.836071Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-08-16T14:33:50.657682Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-08-10T22:17:01.865602Z","title":"Roberta: A robustly optimized bert pretraining approach,","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.865602Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:ea96f380131d440a1ad877ad7fa98755200b145cf931e9e6d12a06108d97d978","observation_id":"10c6f222-627f-4218-9f36-126c3988baae","resolution":{"observed_at":"2026-08-10T22:17:01.865602Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:03.399074Z","title":"Digital twins-enabled zero touch network: A smart contract and explainable ai integrated cybersecurity framework,","venue":null,"work_id":"3d3c3446-4cc6-4bc5-90ab-ed85984209db","year":2024},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.870507Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:777e26e68535e73a9bee872d21e9d3b390c522e21eb4428a66c3b9b9a9f30524","observation_id":"94f662c3-7119-4cfc-b2cf-307c575622a8","resolution":{"observed_at":"2026-08-10T22:17:03.404435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1310.36334","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:02.109359Z","title":"Can smart contracts become smart? an overview of transaction impact on ethereum dapp engineering,","venue":null,"work_id":"d66f178a-7af3-48c5-80c4-1492d9cf2c18","year":2023},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.875358Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:b294f91e40b0c14076d858b598c87fc481cee5e248ca079de4fe254c26276ee4","observation_id":"7f575e55-c514-49d7-b88f-8c4a5423e09b","resolution":{"observed_at":"2026-08-10T22:17:02.118080Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-17T09:58:46.058102Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-10T22:17:01.860619Z","title":"Gpt-4 technical report,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.860619Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:6bc9403fb2d0293f31d08d9eb12913f45b26324ccf6376a9f0a4f0c845352760","observation_id":"ba593147-5d07-4587-b8c0-e971b70ea13c","resolution":{"observed_at":"2026-08-10T22:17:01.860619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.08155","last_updated":"2020-09-18T15:38:12Z","snapshot_observed_at":"2026-08-18T00:58:22.537872Z","submitted_at":"2020-02-19T13:09:07Z","title":"CodeBERT: A Pre-Trained Model for Programming and Natural Languages","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.08155","snapshot_observed_at":"2026-08-10T22:17:01.821670Z","title":"Available: https://arxiv.org/abs/2002.08155","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.821670Z"},"links":{"cited_paper":"/paper/2002.08155","citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:788a40024a5c5bbed3f1ae47783b9415b46d3cbfdf680dfe31d13de963bb13be","observation_id":"2f6b5e89-daaf-4886-8473-0b00617a6737","resolution":{"observed_at":"2026-08-10T22:17:01.821670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/1742-6596/1820/","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:01.981752Z","title":"Available: https://dx.doi.org/10.1088/1742-6596/1820/ 1/012004","venue":null,"work_id":"d2e1dc50-e6dd-49cf-ae05-b9170db08be0","year":null},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.702324Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:a52bef9abe3b38f2a98e8b80a03b7cd2706e3798c321275ef0eadebb215e2ec8","observation_id":"94ca3b15-9bc0-43f9-9be6-6ae8450d7a90","resolution":{"observed_at":"2026-08-10T22:17:01.986569Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:01.831505Z","title":"Available: https://doi.org/10.1109/TIFS.2023.3237370","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.831505Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:e61c2da0aed2a26eb6d9c5fc7819a5e17bb189d5de7548806fed106fccb72b54","observation_id":"717918de-c1a9-4dc6-82a1-a97fb43f33fd","resolution":{"observed_at":"2026-08-10T22:17:01.831505Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2516.2024","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:17:02.702902Z","title":"Available: https://doi.org/10.1109/MECO62516.2024","venue":null,"work_id":"168af62c-335f-4740-9e81-5666e124e62f","year":2024},"citing_paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:01.778209Z"},"links":{"citing_paper":"/paper/2501.02229"},"observation_digest":"sha256:c854208168bfa5a7a1f5a57ed6119168d34b5f217666a471df3766d78a098829","observation_id":"ee12d4b6-eaab-4f7e-9ff2-333f63287ab7","resolution":{"observed_at":"2026-08-10T22:17:02.711619Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.02229","last_updated":"2025-01-04T08:32:53Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-17T11:25:03.759017Z","submitted_at":"2025-01-04T08:32:53Z","title":"Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":1,"metadata_mismatch":5,"parse_uncertain":0,"unresolved":16,"verified_exact":8,"verified_fuzzy":8},"total_outbound_references":38},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2501.02229."}