{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:MTIDA2OIZDTEF3XMYQEULUOC4Y","short_pith_number":"pith:MTIDA2OI","schema_version":"1.0","canonical_sha256":"64d03069c8c8e642eeecc40945d1c2e62b8ed9ccde32476fcb497a6d4ce329ba","source":{"kind":"arxiv","id":"1408.5756","version":1},"attestation_state":"computed","paper":{"title":"Engineering Delta Modeling Languages","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Arne Haber, Bernhard Rumpe, Carsten Kolassa, Ina Schaefer, Katrin H\\\"olldobler, Klaus M\\\"uller, Markus Look","submitted_at":"2014-08-25T13:32:26Z","abstract_excerpt":"Delta modeling is a modular, yet flexible approach to capture spatial and temporal variability by explicitly representing the differences between system variants or versions. The conceptual idea of delta modeling is language-independent. But, in order to apply delta modeling for a concrete language, so far, a delta language had to be manually developed on top of the base language leading to a large variety of heterogeneous language concepts. In this paper, we present a process that allows deriving a delta language from the grammar of a given base language. Our approach relies on an automatical"},"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":"1408.5756","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2014-08-25T13:32:26Z","cross_cats_sorted":[],"title_canon_sha256":"7e347928004452825475065556bf837e9afeae07a2f4bd5542243d7fe71d96fb","abstract_canon_sha256":"378edccc40680e1107c2a56086d85544be2f7d02df054b00b54de921f7fa65ca"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:44:24.205378Z","signature_b64":"Eqa6733jOFUyrLLaz2fkyY3ZfLpv/Bag3de2tL9mzo01QbVcH4/UglKHujL2PRKwlbGeATXiTNrwrXR65DncDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"64d03069c8c8e642eeecc40945d1c2e62b8ed9ccde32476fcb497a6d4ce329ba","last_reissued_at":"2026-05-18T02:44:24.204909Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:44:24.204909Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Engineering Delta Modeling Languages","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Arne Haber, Bernhard Rumpe, Carsten Kolassa, Ina Schaefer, Katrin H\\\"olldobler, Klaus M\\\"uller, Markus Look","submitted_at":"2014-08-25T13:32:26Z","abstract_excerpt":"Delta modeling is a modular, yet flexible approach to capture spatial and temporal variability by explicitly representing the differences between system variants or versions. The conceptual idea of delta modeling is language-independent. But, in order to apply delta modeling for a concrete language, so far, a delta language had to be manually developed on top of the base language leading to a large variety of heterogeneous language concepts. In this paper, we present a process that allows deriving a delta language from the grammar of a given base language. Our approach relies on an automatical"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1408.5756","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":"1408.5756","created_at":"2026-05-18T02:44:24.204973+00:00"},{"alias_kind":"arxiv_version","alias_value":"1408.5756v1","created_at":"2026-05-18T02:44:24.204973+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1408.5756","created_at":"2026-05-18T02:44:24.204973+00:00"},{"alias_kind":"pith_short_12","alias_value":"MTIDA2OIZDTE","created_at":"2026-05-18T12:28:38.356838+00:00"},{"alias_kind":"pith_short_16","alias_value":"MTIDA2OIZDTEF3XM","created_at":"2026-05-18T12:28:38.356838+00:00"},{"alias_kind":"pith_short_8","alias_value":"MTIDA2OI","created_at":"2026-05-18T12:28:38.356838+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/MTIDA2OIZDTEF3XMYQEULUOC4Y","json":"https://pith.science/pith/MTIDA2OIZDTEF3XMYQEULUOC4Y.json","graph_json":"https://pith.science/api/pith-number/MTIDA2OIZDTEF3XMYQEULUOC4Y/graph.json","events_json":"https://pith.science/api/pith-number/MTIDA2OIZDTEF3XMYQEULUOC4Y/events.json","paper":"https://pith.science/paper/MTIDA2OI"},"agent_actions":{"view_html":"https://pith.science/pith/MTIDA2OIZDTEF3XMYQEULUOC4Y","download_json":"https://pith.science/pith/MTIDA2OIZDTEF3XMYQEULUOC4Y.json","view_paper":"https://pith.science/paper/MTIDA2OI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1408.5756&json=true","fetch_graph":"https://pith.science/api/pith-number/MTIDA2OIZDTEF3XMYQEULUOC4Y/graph.json","fetch_events":"https://pith.science/api/pith-number/MTIDA2OIZDTEF3XMYQEULUOC4Y/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MTIDA2OIZDTEF3XMYQEULUOC4Y/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MTIDA2OIZDTEF3XMYQEULUOC4Y/action/storage_attestation","attest_author":"https://pith.science/pith/MTIDA2OIZDTEF3XMYQEULUOC4Y/action/author_attestation","sign_citation":"https://pith.science/pith/MTIDA2OIZDTEF3XMYQEULUOC4Y/action/citation_signature","submit_replication":"https://pith.science/pith/MTIDA2OIZDTEF3XMYQEULUOC4Y/action/replication_record"}},"created_at":"2026-05-18T02:44:24.204973+00:00","updated_at":"2026-05-18T02:44:24.204973+00:00"}