{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:V5VNGFK57GXH6AGXAF6DBK4JIX","short_pith_number":"pith:V5VNGFK5","schema_version":"1.0","canonical_sha256":"af6ad3155df9ae7f00d7017c30ab8945cb584bcc9836200256c28cc4628201e5","source":{"kind":"arxiv","id":"2509.08950","version":1},"attestation_state":"computed","paper":{"title":"Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"eess.SP","authors_text":"Dan McCreary, Georgios B. Giannakis, Jarvis Haupt, Jia Chen, Mehmet Ak\\c{c}akaya, Qin Lu, Yanning Shen, Yue Dong","submitted_at":"2025-09-10T19:19:26Z","abstract_excerpt":"Powerful artificial intelligence (AI) tools that have emerged in recent years -- including large language models, automated coding assistants, and advanced image and speech generation technologies -- are the result of monumental human achievements. These breakthroughs reflect mastery across multiple technical disciplines and the resolution of significant technological challenges. However, some of the most profound challenges may still lie ahead. These challenges are not purely technical but pertain to the fair and responsible use of AI in ways that genuinely improve the global human condition."},"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":"2509.08950","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-09-10T19:19:26Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"194900841c20cf4f26b887dac3370285da8f644540c0d7980ae61820a4e13384","abstract_canon_sha256":"b6e3f70627ac8dced3803e6e29abde8ef9f7ff3c5630d6103c0a5d4df8874ef0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:09:25.819113Z","signature_b64":"Oa6RL3tR3LBBEogHqJQYHEN97L2nNHMPJrIaFhgJABGuI/SkB0OnX/WgT68i7BBkJV1cO/8wmhJuwDFDnE1vAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"af6ad3155df9ae7f00d7017c30ab8945cb584bcc9836200256c28cc4628201e5","last_reissued_at":"2026-07-05T12:09:25.818631Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:09:25.818631Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"eess.SP","authors_text":"Dan McCreary, Georgios B. Giannakis, Jarvis Haupt, Jia Chen, Mehmet Ak\\c{c}akaya, Qin Lu, Yanning Shen, Yue Dong","submitted_at":"2025-09-10T19:19:26Z","abstract_excerpt":"Powerful artificial intelligence (AI) tools that have emerged in recent years -- including large language models, automated coding assistants, and advanced image and speech generation technologies -- are the result of monumental human achievements. These breakthroughs reflect mastery across multiple technical disciplines and the resolution of significant technological challenges. However, some of the most profound challenges may still lie ahead. These challenges are not purely technical but pertain to the fair and responsible use of AI in ways that genuinely improve the global human condition."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.08950","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/2509.08950/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":"2509.08950","created_at":"2026-07-05T12:09:25.818687+00:00"},{"alias_kind":"arxiv_version","alias_value":"2509.08950v1","created_at":"2026-07-05T12:09:25.818687+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.08950","created_at":"2026-07-05T12:09:25.818687+00:00"},{"alias_kind":"pith_short_12","alias_value":"V5VNGFK57GXH","created_at":"2026-07-05T12:09:25.818687+00:00"},{"alias_kind":"pith_short_16","alias_value":"V5VNGFK57GXH6AGX","created_at":"2026-07-05T12:09:25.818687+00:00"},{"alias_kind":"pith_short_8","alias_value":"V5VNGFK5","created_at":"2026-07-05T12:09:25.818687+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/V5VNGFK57GXH6AGXAF6DBK4JIX","json":"https://pith.science/pith/V5VNGFK57GXH6AGXAF6DBK4JIX.json","graph_json":"https://pith.science/api/pith-number/V5VNGFK57GXH6AGXAF6DBK4JIX/graph.json","events_json":"https://pith.science/api/pith-number/V5VNGFK57GXH6AGXAF6DBK4JIX/events.json","paper":"https://pith.science/paper/V5VNGFK5"},"agent_actions":{"view_html":"https://pith.science/pith/V5VNGFK57GXH6AGXAF6DBK4JIX","download_json":"https://pith.science/pith/V5VNGFK57GXH6AGXAF6DBK4JIX.json","view_paper":"https://pith.science/paper/V5VNGFK5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2509.08950&json=true","fetch_graph":"https://pith.science/api/pith-number/V5VNGFK57GXH6AGXAF6DBK4JIX/graph.json","fetch_events":"https://pith.science/api/pith-number/V5VNGFK57GXH6AGXAF6DBK4JIX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/V5VNGFK57GXH6AGXAF6DBK4JIX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/V5VNGFK57GXH6AGXAF6DBK4JIX/action/storage_attestation","attest_author":"https://pith.science/pith/V5VNGFK57GXH6AGXAF6DBK4JIX/action/author_attestation","sign_citation":"https://pith.science/pith/V5VNGFK57GXH6AGXAF6DBK4JIX/action/citation_signature","submit_replication":"https://pith.science/pith/V5VNGFK57GXH6AGXAF6DBK4JIX/action/replication_record"}},"created_at":"2026-07-05T12:09:25.818687+00:00","updated_at":"2026-07-05T12:09:25.818687+00:00"}