{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:BGXTKAGDUJ7M4EF73DSPJNWYHJ","short_pith_number":"pith:BGXTKAGD","schema_version":"1.0","canonical_sha256":"09af3500c3a27ece10bfd8e4f4b6d83a405a5f0b430cf6c013d761f0550e2bc3","source":{"kind":"arxiv","id":"1805.08678","version":1},"attestation_state":"computed","paper":{"title":"A language for feedback loops in self-adaptive systems: Executable runtime megamodels","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Holger Giese, Thomas Vogel","submitted_at":"2018-05-17T17:11:29Z","abstract_excerpt":"The development of self-adaptive software requires the engineering of proper feedback loops where an adaptation logic controls the underlying software. The adaptation logic often describes the adaptation by using runtime models representing the underlying software and steps such as analysis and planning that operate on these runtime models. To systematically address this interplay, runtime megamodels, which are specific runtime models that have themselves runtime models as their elements and that also capture the relationships between multiple runtime models, have been proposed. In this paper,"},"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":"1805.08678","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2018-05-17T17:11:29Z","cross_cats_sorted":[],"title_canon_sha256":"735682dd4323b46347de4d9f58573dd0ee385751237c77a7535bf0766af250b9","abstract_canon_sha256":"6e2cbbc6fd804d4571b32f3f2020200e813797e751ab57e316a475794f2a19d1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:15:25.436441Z","signature_b64":"0hujMpV8RoPvQ5Kw5SP7ZNHJupUgH4DxxhZU0UPEdmgR734VAZINas5Bb4km1C+wpE5Tn+TF8JGXzf+tkeRQCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"09af3500c3a27ece10bfd8e4f4b6d83a405a5f0b430cf6c013d761f0550e2bc3","last_reissued_at":"2026-05-18T00:15:25.435704Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:15:25.435704Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A language for feedback loops in self-adaptive systems: Executable runtime megamodels","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Holger Giese, Thomas Vogel","submitted_at":"2018-05-17T17:11:29Z","abstract_excerpt":"The development of self-adaptive software requires the engineering of proper feedback loops where an adaptation logic controls the underlying software. The adaptation logic often describes the adaptation by using runtime models representing the underlying software and steps such as analysis and planning that operate on these runtime models. To systematically address this interplay, runtime megamodels, which are specific runtime models that have themselves runtime models as their elements and that also capture the relationships between multiple runtime models, have been proposed. In this paper,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.08678","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":""},"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":"1805.08678","created_at":"2026-05-18T00:15:25.435822+00:00"},{"alias_kind":"arxiv_version","alias_value":"1805.08678v1","created_at":"2026-05-18T00:15:25.435822+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.08678","created_at":"2026-05-18T00:15:25.435822+00:00"},{"alias_kind":"pith_short_12","alias_value":"BGXTKAGDUJ7M","created_at":"2026-05-18T12:32:16.446611+00:00"},{"alias_kind":"pith_short_16","alias_value":"BGXTKAGDUJ7M4EF7","created_at":"2026-05-18T12:32:16.446611+00:00"},{"alias_kind":"pith_short_8","alias_value":"BGXTKAGD","created_at":"2026-05-18T12:32:16.446611+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/BGXTKAGDUJ7M4EF73DSPJNWYHJ","json":"https://pith.science/pith/BGXTKAGDUJ7M4EF73DSPJNWYHJ.json","graph_json":"https://pith.science/api/pith-number/BGXTKAGDUJ7M4EF73DSPJNWYHJ/graph.json","events_json":"https://pith.science/api/pith-number/BGXTKAGDUJ7M4EF73DSPJNWYHJ/events.json","paper":"https://pith.science/paper/BGXTKAGD"},"agent_actions":{"view_html":"https://pith.science/pith/BGXTKAGDUJ7M4EF73DSPJNWYHJ","download_json":"https://pith.science/pith/BGXTKAGDUJ7M4EF73DSPJNWYHJ.json","view_paper":"https://pith.science/paper/BGXTKAGD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1805.08678&json=true","fetch_graph":"https://pith.science/api/pith-number/BGXTKAGDUJ7M4EF73DSPJNWYHJ/graph.json","fetch_events":"https://pith.science/api/pith-number/BGXTKAGDUJ7M4EF73DSPJNWYHJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BGXTKAGDUJ7M4EF73DSPJNWYHJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BGXTKAGDUJ7M4EF73DSPJNWYHJ/action/storage_attestation","attest_author":"https://pith.science/pith/BGXTKAGDUJ7M4EF73DSPJNWYHJ/action/author_attestation","sign_citation":"https://pith.science/pith/BGXTKAGDUJ7M4EF73DSPJNWYHJ/action/citation_signature","submit_replication":"https://pith.science/pith/BGXTKAGDUJ7M4EF73DSPJNWYHJ/action/replication_record"}},"created_at":"2026-05-18T00:15:25.435822+00:00","updated_at":"2026-05-18T00:15:25.435822+00:00"}