{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:NTISFUJZCIWMT5PEHNY4QLBMIM","short_pith_number":"pith:NTISFUJZ","canonical_record":{"source":{"id":"2605.30632","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-28T22:34:28Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"6f1ce38e0d5e1358404745148bff1801792124c6f3a4d72abb1662cf3e284b65","abstract_canon_sha256":"bc38dd73905755569bdefa580f99ef120b2911904dce1d0949b25682e4a4866d"},"schema_version":"1.0"},"canonical_sha256":"6cd122d139122cc9f5e43b71c82c2c433723bbe181bd61cde6b3eb66f7170c09","source":{"kind":"arxiv","id":"2605.30632","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30632","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30632v1","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30632","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"pith_short_12","alias_value":"NTISFUJZCIWM","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"pith_short_16","alias_value":"NTISFUJZCIWMT5PE","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"pith_short_8","alias_value":"NTISFUJZ","created_at":"2026-06-01T01:03:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:NTISFUJZCIWMT5PEHNY4QLBMIM","target":"record","payload":{"canonical_record":{"source":{"id":"2605.30632","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-28T22:34:28Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"6f1ce38e0d5e1358404745148bff1801792124c6f3a4d72abb1662cf3e284b65","abstract_canon_sha256":"bc38dd73905755569bdefa580f99ef120b2911904dce1d0949b25682e4a4866d"},"schema_version":"1.0"},"canonical_sha256":"6cd122d139122cc9f5e43b71c82c2c433723bbe181bd61cde6b3eb66f7170c09","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-01T01:03:05.247951Z","signature_b64":"t0OYPBE9v9aQV9Dz7JkDZ0wtemyLswQIVvyg8QYxKJcCJC5WYpQBOoPzsHcV48372H/D0VFjLbRnbh35cxGmCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6cd122d139122cc9f5e43b71c82c2c433723bbe181bd61cde6b3eb66f7170c09","last_reissued_at":"2026-06-01T01:03:05.247112Z","signature_status":"signed_v1","first_computed_at":"2026-06-01T01:03:05.247112Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.30632","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":"2026-06-01T01:03:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0xkXWOiFv2YlQbETSsod+8SzyD2qXFsu4CD6Gggnx9ZaEs3bXWVgmo2TG+M62iHD1+ZZEMAf5wdAsOONYI7jCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T05:50:50.832163Z"},"content_sha256":"2016b9b08e226d3231bdb1527b37d2efec862141169aee1194a62af0221d989e","schema_version":"1.0","event_id":"sha256:2016b9b08e226d3231bdb1527b37d2efec862141169aee1194a62af0221d989e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:NTISFUJZCIWMT5PEHNY4QLBMIM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rationalize: Shared Semantic Reasoning for Human-AI Alignment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.HC","authors_text":"Aritra Dasgupta, Avina Nakarmi, Naga Datha Saikiran Battula, Sohom Sen, Subhodeep Ghosh, Xun Song","submitted_at":"2026-05-28T22:34:28Z","abstract_excerpt":"We introduce Rationalize, a role-pair framework for shared semantic reasoning between humans and AI models in data-driven sensemaking. Building on ideas in human-machine teaming and critical thinking, we conceptualize human-AI interaction as a series of complementary role pairs (Explorer-Guide, Investigator-Informant, Teacher-Student, Judge-Advocate) operating in a shared reasoning space. In this space, human analysts and AI models (such as LLMs) make purposes, questions, assumptions, evidence, inferences, and implications explicit, facilitating alignment not only at the output level but at th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30632","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/2605.30632/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":"2026-06-01T01:03:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mnS0kVIgKC5BcONFv/zIjLC+ODg1PLdbK2RGDltlzvHILi40M0uo5EIn6NnW/qMzOzSl1SYuZTnriKQx3xjIDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T05:50:50.832569Z"},"content_sha256":"d1465299a47e8204cccb79652690dc3836a6fddc49e59100aee3ad18d064ad30","schema_version":"1.0","event_id":"sha256:d1465299a47e8204cccb79652690dc3836a6fddc49e59100aee3ad18d064ad30"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NTISFUJZCIWMT5PEHNY4QLBMIM/bundle.json","state_url":"https://pith.science/pith/NTISFUJZCIWMT5PEHNY4QLBMIM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NTISFUJZCIWMT5PEHNY4QLBMIM/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":"2026-06-23T05:50:50Z","links":{"resolver":"https://pith.science/pith/NTISFUJZCIWMT5PEHNY4QLBMIM","bundle":"https://pith.science/pith/NTISFUJZCIWMT5PEHNY4QLBMIM/bundle.json","state":"https://pith.science/pith/NTISFUJZCIWMT5PEHNY4QLBMIM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NTISFUJZCIWMT5PEHNY4QLBMIM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NTISFUJZCIWMT5PEHNY4QLBMIM","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":"bc38dd73905755569bdefa580f99ef120b2911904dce1d0949b25682e4a4866d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-28T22:34:28Z","title_canon_sha256":"6f1ce38e0d5e1358404745148bff1801792124c6f3a4d72abb1662cf3e284b65"},"schema_version":"1.0","source":{"id":"2605.30632","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30632","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30632v1","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30632","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"pith_short_12","alias_value":"NTISFUJZCIWM","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"pith_short_16","alias_value":"NTISFUJZCIWMT5PE","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"pith_short_8","alias_value":"NTISFUJZ","created_at":"2026-06-01T01:03:05Z"}],"graph_snapshots":[{"event_id":"sha256:d1465299a47e8204cccb79652690dc3836a6fddc49e59100aee3ad18d064ad30","target":"graph","created_at":"2026-06-01T01:03:05Z","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/2605.30632/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce Rationalize, a role-pair framework for shared semantic reasoning between humans and AI models in data-driven sensemaking. Building on ideas in human-machine teaming and critical thinking, we conceptualize human-AI interaction as a series of complementary role pairs (Explorer-Guide, Investigator-Informant, Teacher-Student, Judge-Advocate) operating in a shared reasoning space. In this space, human analysts and AI models (such as LLMs) make purposes, questions, assumptions, evidence, inferences, and implications explicit, facilitating alignment not only at the output level but at th","authors_text":"Aritra Dasgupta, Avina Nakarmi, Naga Datha Saikiran Battula, Sohom Sen, Subhodeep Ghosh, Xun Song","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-28T22:34:28Z","title":"Rationalize: Shared Semantic Reasoning for Human-AI Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30632","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":"sha256:2016b9b08e226d3231bdb1527b37d2efec862141169aee1194a62af0221d989e","target":"record","created_at":"2026-06-01T01:03:05Z","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":"bc38dd73905755569bdefa580f99ef120b2911904dce1d0949b25682e4a4866d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-28T22:34:28Z","title_canon_sha256":"6f1ce38e0d5e1358404745148bff1801792124c6f3a4d72abb1662cf3e284b65"},"schema_version":"1.0","source":{"id":"2605.30632","kind":"arxiv","version":1}},"canonical_sha256":"6cd122d139122cc9f5e43b71c82c2c433723bbe181bd61cde6b3eb66f7170c09","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6cd122d139122cc9f5e43b71c82c2c433723bbe181bd61cde6b3eb66f7170c09","first_computed_at":"2026-06-01T01:03:05.247112Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:03:05.247112Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"t0OYPBE9v9aQV9Dz7JkDZ0wtemyLswQIVvyg8QYxKJcCJC5WYpQBOoPzsHcV48372H/D0VFjLbRnbh35cxGmCQ==","signature_status":"signed_v1","signed_at":"2026-06-01T01:03:05.247951Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.30632","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2016b9b08e226d3231bdb1527b37d2efec862141169aee1194a62af0221d989e","sha256:d1465299a47e8204cccb79652690dc3836a6fddc49e59100aee3ad18d064ad30"],"state_sha256":"32d4ea50e77d38a7650e9488839888a60b6f1146680bbe07ad175a119382d1a5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/bHE221w+zF7pwnRxQ4ORVHtI7SO/LO7UQsLSTLa3mG+7O4aj4ZNirMvSVnIcKr3+/9yCpjUb9CwqiefsycCCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-23T05:50:50.834675Z","bundle_sha256":"75c51273fefbb64e81f8be048868048da70d1a3293d7c6ab74cc9c9d51fe411a"}}