{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:TN5MVRXWADLXCVNX2PSVQH43PO","short_pith_number":"pith:TN5MVRXW","schema_version":"1.0","canonical_sha256":"9b7acac6f600d77155b7d3e5581f9b7b9e9259e31e75e360fe7c8110f57db75d","source":{"kind":"arxiv","id":"1908.04594","version":1},"attestation_state":"computed","paper":{"title":"A Building-Block Approach to State-Space Modeling of DC-DC Converter Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Gernot Herbst","submitted_at":"2019-08-13T12:02:20Z","abstract_excerpt":"Small-signal models of DC-DC converters are often based on a state-space averaging approach, from which both control-oriented and other frequency-domain characteristics, such as input or output impedance, can be derived. Updating these models when extending the converter by filters or non-trivial loads, or adding control loops, can become a tedious task, however. To simplify this potentially error-prone process, a modular modeling approach is being proposed in this article. It consists of small state-space models for certain building blocks of a converter system on the one hand, and standardiz"},"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":"1908.04594","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2019-08-13T12:02:20Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"ed1e3ddb056301b4d95734841ca87d8ea8b6af0985c167318e05c894204986c6","abstract_canon_sha256":"4e0e71d09cadb1529f0f93fc6aeb4de1d077ffa1a7e31e1f6b1e1039ee709961"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:55:14.928846Z","signature_b64":"t5d+GO0b+8uX9cRd73F1S6PzrQUDwjJ4l9t/nJLOyMOivg3pHzwGUzz8CYu+W3C7d2L7azBTTlOTZvVcr2IZAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9b7acac6f600d77155b7d3e5581f9b7b9e9259e31e75e360fe7c8110f57db75d","last_reissued_at":"2026-07-04T23:55:14.928514Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:55:14.928514Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Building-Block Approach to State-Space Modeling of DC-DC Converter Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Gernot Herbst","submitted_at":"2019-08-13T12:02:20Z","abstract_excerpt":"Small-signal models of DC-DC converters are often based on a state-space averaging approach, from which both control-oriented and other frequency-domain characteristics, such as input or output impedance, can be derived. Updating these models when extending the converter by filters or non-trivial loads, or adding control loops, can become a tedious task, however. To simplify this potentially error-prone process, a modular modeling approach is being proposed in this article. It consists of small state-space models for certain building blocks of a converter system on the one hand, and standardiz"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.04594","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/1908.04594/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":"1908.04594","created_at":"2026-07-04T23:55:14.928570+00:00"},{"alias_kind":"arxiv_version","alias_value":"1908.04594v1","created_at":"2026-07-04T23:55:14.928570+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.04594","created_at":"2026-07-04T23:55:14.928570+00:00"},{"alias_kind":"pith_short_12","alias_value":"TN5MVRXWADLX","created_at":"2026-07-04T23:55:14.928570+00:00"},{"alias_kind":"pith_short_16","alias_value":"TN5MVRXWADLXCVNX","created_at":"2026-07-04T23:55:14.928570+00:00"},{"alias_kind":"pith_short_8","alias_value":"TN5MVRXW","created_at":"2026-07-04T23:55:14.928570+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/TN5MVRXWADLXCVNX2PSVQH43PO","json":"https://pith.science/pith/TN5MVRXWADLXCVNX2PSVQH43PO.json","graph_json":"https://pith.science/api/pith-number/TN5MVRXWADLXCVNX2PSVQH43PO/graph.json","events_json":"https://pith.science/api/pith-number/TN5MVRXWADLXCVNX2PSVQH43PO/events.json","paper":"https://pith.science/paper/TN5MVRXW"},"agent_actions":{"view_html":"https://pith.science/pith/TN5MVRXWADLXCVNX2PSVQH43PO","download_json":"https://pith.science/pith/TN5MVRXWADLXCVNX2PSVQH43PO.json","view_paper":"https://pith.science/paper/TN5MVRXW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1908.04594&json=true","fetch_graph":"https://pith.science/api/pith-number/TN5MVRXWADLXCVNX2PSVQH43PO/graph.json","fetch_events":"https://pith.science/api/pith-number/TN5MVRXWADLXCVNX2PSVQH43PO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TN5MVRXWADLXCVNX2PSVQH43PO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TN5MVRXWADLXCVNX2PSVQH43PO/action/storage_attestation","attest_author":"https://pith.science/pith/TN5MVRXWADLXCVNX2PSVQH43PO/action/author_attestation","sign_citation":"https://pith.science/pith/TN5MVRXWADLXCVNX2PSVQH43PO/action/citation_signature","submit_replication":"https://pith.science/pith/TN5MVRXWADLXCVNX2PSVQH43PO/action/replication_record"}},"created_at":"2026-07-04T23:55:14.928570+00:00","updated_at":"2026-07-04T23:55:14.928570+00:00"}