{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:G3F7JKM2WYSRFL72BRRM7PXQME","short_pith_number":"pith:G3F7JKM2","canonical_record":{"source":{"id":"2503.05926","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2025-03-07T20:48:18Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"fbee39f00e092e1ddd4b3b9f5e077a3967e3531bd3b295426d98b62e4f56ad31","abstract_canon_sha256":"7b5b466abc9f5900e8b3cb812e6ccb693fc3277e3df47d9f69aac0dca7fef194"},"schema_version":"1.0"},"canonical_sha256":"36cbf4a99ab62512affa0c62cfbef0611874d93d0361d214af2170a65f02a0d4","source":{"kind":"arxiv","id":"2503.05926","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.05926","created_at":"2026-07-05T10:26:49Z"},{"alias_kind":"arxiv_version","alias_value":"2503.05926v1","created_at":"2026-07-05T10:26:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.05926","created_at":"2026-07-05T10:26:49Z"},{"alias_kind":"pith_short_12","alias_value":"G3F7JKM2WYSR","created_at":"2026-07-05T10:26:49Z"},{"alias_kind":"pith_short_16","alias_value":"G3F7JKM2WYSRFL72","created_at":"2026-07-05T10:26:49Z"},{"alias_kind":"pith_short_8","alias_value":"G3F7JKM2","created_at":"2026-07-05T10:26:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:G3F7JKM2WYSRFL72BRRM7PXQME","target":"record","payload":{"canonical_record":{"source":{"id":"2503.05926","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2025-03-07T20:48:18Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"fbee39f00e092e1ddd4b3b9f5e077a3967e3531bd3b295426d98b62e4f56ad31","abstract_canon_sha256":"7b5b466abc9f5900e8b3cb812e6ccb693fc3277e3df47d9f69aac0dca7fef194"},"schema_version":"1.0"},"canonical_sha256":"36cbf4a99ab62512affa0c62cfbef0611874d93d0361d214af2170a65f02a0d4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:26:49.485334Z","signature_b64":"UMVhz3ao4at7FVJ7wHOK/SsRzm3eDcWqbBtsxsGPGSphd+MFC1nO6azCx9YQUVM6VZbUSxSXBVJuf36xkGNBBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"36cbf4a99ab62512affa0c62cfbef0611874d93d0361d214af2170a65f02a0d4","last_reissued_at":"2026-07-05T10:26:49.484694Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:26:49.484694Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.05926","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":"2026-07-05T10:26:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LH8PB10flIaZm1nPFTFtjuytdv953/35VxFBfWOGIESA7hNbMczKSq6NkkO/6V6EtHcjbgpkorbmNifgENXdCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T14:13:37.681215Z"},"content_sha256":"00cb0430fafcc8e35668b35b340eef5f34b87ad039397c4986613899b8791d5c","schema_version":"1.0","event_id":"sha256:00cb0430fafcc8e35668b35b340eef5f34b87ad039397c4986613899b8791d5c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:G3F7JKM2WYSRFL72BRRM7PXQME","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"What's So Human about Human-AI Collaboration, Anyway? Generative AI and Human-Computer Interaction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.HC","authors_text":"Elizabeth Anne Watkins, Emanuel Moss, Giuseppe Raffa, Lama Nachman","submitted_at":"2025-03-07T20:48:18Z","abstract_excerpt":"While human-AI collaboration has been a longstanding goal and topic of study for computational research, the emergence of increasingly naturalistic generative AI language models has greatly inflected the trajectory of such research. In this paper we identify how, given the language capabilities of generative AI, common features of human-human collaboration derived from the social sciences can be applied to the study of human-computer interaction. We provide insights drawn from interviews with industry personnel working on building human-AI collaboration systems, as well as our collaborations w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.05926","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/2503.05926/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":"2026-07-05T10:26:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r3qeDGtyPWor71iPmFEXIRwa7aSraUcqRvaub9Tz6Ox7ZFAAkvTfLbRrSgJzyjasHkyl/Syaai4X01HWwLR4Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T14:13:37.681608Z"},"content_sha256":"b4c99e471b00b8500fb9010baf38c60429ac6f64037c2ef01194517ce328445a","schema_version":"1.0","event_id":"sha256:b4c99e471b00b8500fb9010baf38c60429ac6f64037c2ef01194517ce328445a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/G3F7JKM2WYSRFL72BRRM7PXQME/bundle.json","state_url":"https://pith.science/pith/G3F7JKM2WYSRFL72BRRM7PXQME/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/G3F7JKM2WYSRFL72BRRM7PXQME/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":"2026-07-07T14:13:37Z","links":{"resolver":"https://pith.science/pith/G3F7JKM2WYSRFL72BRRM7PXQME","bundle":"https://pith.science/pith/G3F7JKM2WYSRFL72BRRM7PXQME/bundle.json","state":"https://pith.science/pith/G3F7JKM2WYSRFL72BRRM7PXQME/state.json","well_known_bundle":"https://pith.science/.well-known/pith/G3F7JKM2WYSRFL72BRRM7PXQME/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:G3F7JKM2WYSRFL72BRRM7PXQME","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":"7b5b466abc9f5900e8b3cb812e6ccb693fc3277e3df47d9f69aac0dca7fef194","cross_cats_sorted":["cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2025-03-07T20:48:18Z","title_canon_sha256":"fbee39f00e092e1ddd4b3b9f5e077a3967e3531bd3b295426d98b62e4f56ad31"},"schema_version":"1.0","source":{"id":"2503.05926","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.05926","created_at":"2026-07-05T10:26:49Z"},{"alias_kind":"arxiv_version","alias_value":"2503.05926v1","created_at":"2026-07-05T10:26:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.05926","created_at":"2026-07-05T10:26:49Z"},{"alias_kind":"pith_short_12","alias_value":"G3F7JKM2WYSR","created_at":"2026-07-05T10:26:49Z"},{"alias_kind":"pith_short_16","alias_value":"G3F7JKM2WYSRFL72","created_at":"2026-07-05T10:26:49Z"},{"alias_kind":"pith_short_8","alias_value":"G3F7JKM2","created_at":"2026-07-05T10:26:49Z"}],"graph_snapshots":[{"event_id":"sha256:b4c99e471b00b8500fb9010baf38c60429ac6f64037c2ef01194517ce328445a","target":"graph","created_at":"2026-07-05T10:26:49Z","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/2503.05926/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While human-AI collaboration has been a longstanding goal and topic of study for computational research, the emergence of increasingly naturalistic generative AI language models has greatly inflected the trajectory of such research. In this paper we identify how, given the language capabilities of generative AI, common features of human-human collaboration derived from the social sciences can be applied to the study of human-computer interaction. We provide insights drawn from interviews with industry personnel working on building human-AI collaboration systems, as well as our collaborations w","authors_text":"Elizabeth Anne Watkins, Emanuel Moss, Giuseppe Raffa, Lama Nachman","cross_cats":["cs.CY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2025-03-07T20:48:18Z","title":"What's So Human about Human-AI Collaboration, Anyway? Generative AI and Human-Computer Interaction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.05926","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":"sha256:00cb0430fafcc8e35668b35b340eef5f34b87ad039397c4986613899b8791d5c","target":"record","created_at":"2026-07-05T10:26:49Z","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":"7b5b466abc9f5900e8b3cb812e6ccb693fc3277e3df47d9f69aac0dca7fef194","cross_cats_sorted":["cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2025-03-07T20:48:18Z","title_canon_sha256":"fbee39f00e092e1ddd4b3b9f5e077a3967e3531bd3b295426d98b62e4f56ad31"},"schema_version":"1.0","source":{"id":"2503.05926","kind":"arxiv","version":1}},"canonical_sha256":"36cbf4a99ab62512affa0c62cfbef0611874d93d0361d214af2170a65f02a0d4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"36cbf4a99ab62512affa0c62cfbef0611874d93d0361d214af2170a65f02a0d4","first_computed_at":"2026-07-05T10:26:49.484694Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:26:49.484694Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UMVhz3ao4at7FVJ7wHOK/SsRzm3eDcWqbBtsxsGPGSphd+MFC1nO6azCx9YQUVM6VZbUSxSXBVJuf36xkGNBBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:26:49.485334Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.05926","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:00cb0430fafcc8e35668b35b340eef5f34b87ad039397c4986613899b8791d5c","sha256:b4c99e471b00b8500fb9010baf38c60429ac6f64037c2ef01194517ce328445a"],"state_sha256":"7d6091396f9bc67548dd8bb4aa6bbfe80da84aa1951d6b2805d00b5abf70798d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q00VYhM908S34/MnwhHcPmRR9/w/QZ4+tMkkLlCyV2E1L6Ck5HgHfQrk7eUyVc42XCLuOmck+jOgaG/3S1zOAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T14:13:37.683509Z","bundle_sha256":"7eeb6222bb44fb471efd11e0398a91130015a8a57759b1d44edf45c57dccf8ab"}}