{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:A3AXAUZ6HZWHMLGXGLLHHXZII5","short_pith_number":"pith:A3AXAUZ6","schema_version":"1.0","canonical_sha256":"06c170533e3e6c762cd732d673df2847410d449fdfc5b5e71eefc4951dbc837f","source":{"kind":"arxiv","id":"1804.09241","version":1},"attestation_state":"computed","paper":{"title":"A Hardware Platform for Efficient Multi-Modal Sensing with Adaptive Approximation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AR","cs.ET","cs.RO","physics.ins-det"],"primary_cat":"physics.app-ph","authors_text":"Martin Rinard, Phillip Stanley-Marbell","submitted_at":"2018-04-06T15:18:32Z","abstract_excerpt":"We present Warp, a hardware platform to support research in approximate computing, sensor energy optimization, and energy-scavenged systems. Warp incorporates 11 state-of-the-art sensor integrated circuits, computation, and an energy-scavenged power supply, all within a miniature system that is just 3.6 cm x 3.3 cm x 0.5 cm. Warp's sensor integrated circuits together contain a total of 21 sensors with a range of precisions and accuracies for measuring eight sensing modalities of acceleration, angular rate, magnetic flux density (compass heading), humidity, atmospheric pressure (elevation), inf"},"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":"1804.09241","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.app-ph","submitted_at":"2018-04-06T15:18:32Z","cross_cats_sorted":["cs.AR","cs.ET","cs.RO","physics.ins-det"],"title_canon_sha256":"9f3ed73cd5eefdedf5dff23a3d05d9f66660389a0c0cea7bfdf5e448b0847458","abstract_canon_sha256":"274c82f3b05eba2151453201c2119af01e5cab64d0773d440423c821c45f68d6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:05:39.053657Z","signature_b64":"JMQn0UeC88nzuQAXsb/PUnDhdGdI4svmG8THn8W88YvXJhuVtQ+ow+HH7evMg2JqfnAQTOoeNET4R8c634VmBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"06c170533e3e6c762cd732d673df2847410d449fdfc5b5e71eefc4951dbc837f","last_reissued_at":"2026-05-18T00:05:39.053076Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:05:39.053076Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Hardware Platform for Efficient Multi-Modal Sensing with Adaptive Approximation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AR","cs.ET","cs.RO","physics.ins-det"],"primary_cat":"physics.app-ph","authors_text":"Martin Rinard, Phillip Stanley-Marbell","submitted_at":"2018-04-06T15:18:32Z","abstract_excerpt":"We present Warp, a hardware platform to support research in approximate computing, sensor energy optimization, and energy-scavenged systems. Warp incorporates 11 state-of-the-art sensor integrated circuits, computation, and an energy-scavenged power supply, all within a miniature system that is just 3.6 cm x 3.3 cm x 0.5 cm. Warp's sensor integrated circuits together contain a total of 21 sensors with a range of precisions and accuracies for measuring eight sensing modalities of acceleration, angular rate, magnetic flux density (compass heading), humidity, atmospheric pressure (elevation), inf"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.09241","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":"1804.09241","created_at":"2026-05-18T00:05:39.053157+00:00"},{"alias_kind":"arxiv_version","alias_value":"1804.09241v1","created_at":"2026-05-18T00:05:39.053157+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.09241","created_at":"2026-05-18T00:05:39.053157+00:00"},{"alias_kind":"pith_short_12","alias_value":"A3AXAUZ6HZWH","created_at":"2026-05-18T12:32:13.499390+00:00"},{"alias_kind":"pith_short_16","alias_value":"A3AXAUZ6HZWHMLGX","created_at":"2026-05-18T12:32:13.499390+00:00"},{"alias_kind":"pith_short_8","alias_value":"A3AXAUZ6","created_at":"2026-05-18T12:32:13.499390+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/A3AXAUZ6HZWHMLGXGLLHHXZII5","json":"https://pith.science/pith/A3AXAUZ6HZWHMLGXGLLHHXZII5.json","graph_json":"https://pith.science/api/pith-number/A3AXAUZ6HZWHMLGXGLLHHXZII5/graph.json","events_json":"https://pith.science/api/pith-number/A3AXAUZ6HZWHMLGXGLLHHXZII5/events.json","paper":"https://pith.science/paper/A3AXAUZ6"},"agent_actions":{"view_html":"https://pith.science/pith/A3AXAUZ6HZWHMLGXGLLHHXZII5","download_json":"https://pith.science/pith/A3AXAUZ6HZWHMLGXGLLHHXZII5.json","view_paper":"https://pith.science/paper/A3AXAUZ6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1804.09241&json=true","fetch_graph":"https://pith.science/api/pith-number/A3AXAUZ6HZWHMLGXGLLHHXZII5/graph.json","fetch_events":"https://pith.science/api/pith-number/A3AXAUZ6HZWHMLGXGLLHHXZII5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/A3AXAUZ6HZWHMLGXGLLHHXZII5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/A3AXAUZ6HZWHMLGXGLLHHXZII5/action/storage_attestation","attest_author":"https://pith.science/pith/A3AXAUZ6HZWHMLGXGLLHHXZII5/action/author_attestation","sign_citation":"https://pith.science/pith/A3AXAUZ6HZWHMLGXGLLHHXZII5/action/citation_signature","submit_replication":"https://pith.science/pith/A3AXAUZ6HZWHMLGXGLLHHXZII5/action/replication_record"}},"created_at":"2026-05-18T00:05:39.053157+00:00","updated_at":"2026-05-18T00:05:39.053157+00:00"}