{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:AGAOAIGQDHQLCFKJBYT76Z6XI4","short_pith_number":"pith:AGAOAIGQ","canonical_record":{"source":{"id":"2507.17774","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-07-22T04:29:33Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2ebd373c93c8e4fb86bd28b9bc943c1c12493271b0877e8598502d960f11281f","abstract_canon_sha256":"17cb72c3dc9eefb3b4bacc7a907cfb09ac580b9bb26fb84077ef2967f3c6e927"},"schema_version":"1.0"},"canonical_sha256":"0180e020d019e0b115490e27ff67d74700872e3d8a270fe0bb37017e0b3b63c2","source":{"kind":"arxiv","id":"2507.17774","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.17774","created_at":"2026-07-05T11:42:34Z"},{"alias_kind":"arxiv_version","alias_value":"2507.17774v1","created_at":"2026-07-05T11:42:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.17774","created_at":"2026-07-05T11:42:34Z"},{"alias_kind":"pith_short_12","alias_value":"AGAOAIGQDHQL","created_at":"2026-07-05T11:42:34Z"},{"alias_kind":"pith_short_16","alias_value":"AGAOAIGQDHQLCFKJ","created_at":"2026-07-05T11:42:34Z"},{"alias_kind":"pith_short_8","alias_value":"AGAOAIGQ","created_at":"2026-07-05T11:42:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:AGAOAIGQDHQLCFKJBYT76Z6XI4","target":"record","payload":{"canonical_record":{"source":{"id":"2507.17774","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-07-22T04:29:33Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2ebd373c93c8e4fb86bd28b9bc943c1c12493271b0877e8598502d960f11281f","abstract_canon_sha256":"17cb72c3dc9eefb3b4bacc7a907cfb09ac580b9bb26fb84077ef2967f3c6e927"},"schema_version":"1.0"},"canonical_sha256":"0180e020d019e0b115490e27ff67d74700872e3d8a270fe0bb37017e0b3b63c2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:42:34.856983Z","signature_b64":"hZeyvhY+KQsuHssjjJrZeP2BDDRjfxZe4PTf7huyOG7N4HRT+b8Pojo6kjKnwshcbhqpRq/XFqf5mpmh2ruYCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0180e020d019e0b115490e27ff67d74700872e3d8a270fe0bb37017e0b3b63c2","last_reissued_at":"2026-07-05T11:42:34.856458Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:42:34.856458Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.17774","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:42:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qydSOy/PPr/KDv3cqr1GP4jFcWLzP74tktQkgVbazTPPbwW/Q2c7ylyWMO/vGWIdqoFnAbvBVtTIUEyvdpkHDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T23:25:25.533964Z"},"content_sha256":"23bd5ca862cc9782a27ce274f6b9cd751bbc728a98e80458fa331d695a6f577c","schema_version":"1.0","event_id":"sha256:23bd5ca862cc9782a27ce274f6b9cd751bbc728a98e80458fa331d695a6f577c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:AGAOAIGQDHQLCFKJBYT76Z6XI4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"Zhangqi Liu","submitted_at":"2025-07-22T04:29:33Z","abstract_excerpt":"As artificial intelligence (AI) continues to evolve from a back-end computational tool into an interactive, generative collaborator, its integration into early-stage design processes demands a rethinking of traditional workflows in human-centered design. This paper explores the emergent paradigm of human-AI co-creation, where AI is not merely used for automation or efficiency gains, but actively participates in ideation, visual conceptualization, and decision-making. Specifically, we investigate the use of large language models (LLMs) like GPT-4 and multimodal diffusion models such as Stable D"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.17774","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/2507.17774/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:42:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sGUd1SjmvO4X6nwAyzzXK7svbuKpXUcDsiOpBn+uAEbcaqV0pKSNlDHTgIdEXlikxXStkSjyHmAod4W4JnWmCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T23:25:25.534458Z"},"content_sha256":"4d287a0d738ce85c1e091bc0e4424fa46af2e426d9d8d94edf93718582ce9f0b","schema_version":"1.0","event_id":"sha256:4d287a0d738ce85c1e091bc0e4424fa46af2e426d9d8d94edf93718582ce9f0b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AGAOAIGQDHQLCFKJBYT76Z6XI4/bundle.json","state_url":"https://pith.science/pith/AGAOAIGQDHQLCFKJBYT76Z6XI4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AGAOAIGQDHQLCFKJBYT76Z6XI4/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-15T23:25:25Z","links":{"resolver":"https://pith.science/pith/AGAOAIGQDHQLCFKJBYT76Z6XI4","bundle":"https://pith.science/pith/AGAOAIGQDHQLCFKJBYT76Z6XI4/bundle.json","state":"https://pith.science/pith/AGAOAIGQDHQLCFKJBYT76Z6XI4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AGAOAIGQDHQLCFKJBYT76Z6XI4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AGAOAIGQDHQLCFKJBYT76Z6XI4","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"17cb72c3dc9eefb3b4bacc7a907cfb09ac580b9bb26fb84077ef2967f3c6e927","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-07-22T04:29:33Z","title_canon_sha256":"2ebd373c93c8e4fb86bd28b9bc943c1c12493271b0877e8598502d960f11281f"},"schema_version":"1.0","source":{"id":"2507.17774","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.17774","created_at":"2026-07-05T11:42:34Z"},{"alias_kind":"arxiv_version","alias_value":"2507.17774v1","created_at":"2026-07-05T11:42:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.17774","created_at":"2026-07-05T11:42:34Z"},{"alias_kind":"pith_short_12","alias_value":"AGAOAIGQDHQL","created_at":"2026-07-05T11:42:34Z"},{"alias_kind":"pith_short_16","alias_value":"AGAOAIGQDHQLCFKJ","created_at":"2026-07-05T11:42:34Z"},{"alias_kind":"pith_short_8","alias_value":"AGAOAIGQ","created_at":"2026-07-05T11:42:34Z"}],"graph_snapshots":[{"event_id":"sha256:4d287a0d738ce85c1e091bc0e4424fa46af2e426d9d8d94edf93718582ce9f0b","target":"graph","created_at":"2026-07-05T11:42:34Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2507.17774/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As artificial intelligence (AI) continues to evolve from a back-end computational tool into an interactive, generative collaborator, its integration into early-stage design processes demands a rethinking of traditional workflows in human-centered design. This paper explores the emergent paradigm of human-AI co-creation, where AI is not merely used for automation or efficiency gains, but actively participates in ideation, visual conceptualization, and decision-making. Specifically, we investigate the use of large language models (LLMs) like GPT-4 and multimodal diffusion models such as Stable D","authors_text":"Zhangqi Liu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-07-22T04:29:33Z","title":"Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.17774","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:23bd5ca862cc9782a27ce274f6b9cd751bbc728a98e80458fa331d695a6f577c","target":"record","created_at":"2026-07-05T11:42:34Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"17cb72c3dc9eefb3b4bacc7a907cfb09ac580b9bb26fb84077ef2967f3c6e927","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-07-22T04:29:33Z","title_canon_sha256":"2ebd373c93c8e4fb86bd28b9bc943c1c12493271b0877e8598502d960f11281f"},"schema_version":"1.0","source":{"id":"2507.17774","kind":"arxiv","version":1}},"canonical_sha256":"0180e020d019e0b115490e27ff67d74700872e3d8a270fe0bb37017e0b3b63c2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0180e020d019e0b115490e27ff67d74700872e3d8a270fe0bb37017e0b3b63c2","first_computed_at":"2026-07-05T11:42:34.856458Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:42:34.856458Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hZeyvhY+KQsuHssjjJrZeP2BDDRjfxZe4PTf7huyOG7N4HRT+b8Pojo6kjKnwshcbhqpRq/XFqf5mpmh2ruYCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:42:34.856983Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.17774","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:23bd5ca862cc9782a27ce274f6b9cd751bbc728a98e80458fa331d695a6f577c","sha256:4d287a0d738ce85c1e091bc0e4424fa46af2e426d9d8d94edf93718582ce9f0b"],"state_sha256":"3a5e4e70505e2e36e9d2a2c833ca4d9a2e3daf9df935f0157f7859d64838a07c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JKGlYEGJfL4X9O7JsmYlPGmrGkdlcaaEPRPCLaJqnUesq2qxR0U3h+f2H4pS8JUlRrmTIR6OEcDTTsOZege9Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T23:25:25.538014Z","bundle_sha256":"a75c1124e8140607f52bd197b147dea32b2e4857fc7a9e1ae73bb526557edceb"}}