{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:IWF55BOBFPOSS6EMU6W5KNAAUY","short_pith_number":"pith:IWF55BOB","schema_version":"1.0","canonical_sha256":"458bde85c12bdd29788ca7add53400a6217e4f65d4e9f92672a69206f01a3789","source":{"kind":"arxiv","id":"2110.00141","version":1},"attestation_state":"computed","paper":{"title":"The IntelliJ Platform: a Framework for Building Plugins and Mining Software Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Timofey Bryksin, Vladimir Kovalenko, Yaroslav Golubev, Zarina Kurbatova","submitted_at":"2021-10-01T00:37:27Z","abstract_excerpt":"In software engineering, a great number of new approaches are being actively researched, and a lot of tools are being developed based on them. These tools require a framework for their creation and an opportunity to be used by potential developers. Modern IDEs provide both.\n  In this paper, we describe the main capabilities of the IntelliJ Platform that could be useful for researchers that are developing code analysis tools. To illustrate the benefits of using the platform, we describe several use cases that researchers might be interested in: mining software data, running machine learning mod"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2110.00141","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2021-10-01T00:37:27Z","cross_cats_sorted":[],"title_canon_sha256":"db3b599c496ec132096ae2758756200c29022dca7c4d64a2acf3001a9d74f8b1","abstract_canon_sha256":"13c1fbd34f153673f92234428f0d8fd49cc254b30988e5a623b944ef7eb1b581"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:19:26.217332Z","signature_b64":"L+rAdd6Dx+2QeBqKriH8jaYyk3hLlSoBaQwoIt/rA4Qy3hAd+pcDaXx5eC/FIg9JCxC3mVKsYIwAfMPPl7QGAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"458bde85c12bdd29788ca7add53400a6217e4f65d4e9f92672a69206f01a3789","last_reissued_at":"2026-07-05T03:19:26.216937Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:19:26.216937Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The IntelliJ Platform: a Framework for Building Plugins and Mining Software Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Timofey Bryksin, Vladimir Kovalenko, Yaroslav Golubev, Zarina Kurbatova","submitted_at":"2021-10-01T00:37:27Z","abstract_excerpt":"In software engineering, a great number of new approaches are being actively researched, and a lot of tools are being developed based on them. These tools require a framework for their creation and an opportunity to be used by potential developers. Modern IDEs provide both.\n  In this paper, we describe the main capabilities of the IntelliJ Platform that could be useful for researchers that are developing code analysis tools. To illustrate the benefits of using the platform, we describe several use cases that researchers might be interested in: mining software data, running machine learning mod"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.00141","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2110.00141/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2110.00141","created_at":"2026-07-05T03:19:26.217001+00:00"},{"alias_kind":"arxiv_version","alias_value":"2110.00141v1","created_at":"2026-07-05T03:19:26.217001+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.00141","created_at":"2026-07-05T03:19:26.217001+00:00"},{"alias_kind":"pith_short_12","alias_value":"IWF55BOBFPOS","created_at":"2026-07-05T03:19:26.217001+00:00"},{"alias_kind":"pith_short_16","alias_value":"IWF55BOBFPOSS6EM","created_at":"2026-07-05T03:19:26.217001+00:00"},{"alias_kind":"pith_short_8","alias_value":"IWF55BOB","created_at":"2026-07-05T03:19:26.217001+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/IWF55BOBFPOSS6EMU6W5KNAAUY","json":"https://pith.science/pith/IWF55BOBFPOSS6EMU6W5KNAAUY.json","graph_json":"https://pith.science/api/pith-number/IWF55BOBFPOSS6EMU6W5KNAAUY/graph.json","events_json":"https://pith.science/api/pith-number/IWF55BOBFPOSS6EMU6W5KNAAUY/events.json","paper":"https://pith.science/paper/IWF55BOB"},"agent_actions":{"view_html":"https://pith.science/pith/IWF55BOBFPOSS6EMU6W5KNAAUY","download_json":"https://pith.science/pith/IWF55BOBFPOSS6EMU6W5KNAAUY.json","view_paper":"https://pith.science/paper/IWF55BOB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2110.00141&json=true","fetch_graph":"https://pith.science/api/pith-number/IWF55BOBFPOSS6EMU6W5KNAAUY/graph.json","fetch_events":"https://pith.science/api/pith-number/IWF55BOBFPOSS6EMU6W5KNAAUY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IWF55BOBFPOSS6EMU6W5KNAAUY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IWF55BOBFPOSS6EMU6W5KNAAUY/action/storage_attestation","attest_author":"https://pith.science/pith/IWF55BOBFPOSS6EMU6W5KNAAUY/action/author_attestation","sign_citation":"https://pith.science/pith/IWF55BOBFPOSS6EMU6W5KNAAUY/action/citation_signature","submit_replication":"https://pith.science/pith/IWF55BOBFPOSS6EMU6W5KNAAUY/action/replication_record"}},"created_at":"2026-07-05T03:19:26.217001+00:00","updated_at":"2026-07-05T03:19:26.217001+00:00"}