{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:YI3WBSJNWYYFUD5JSB55V6QQKK","short_pith_number":"pith:YI3WBSJN","canonical_record":{"source":{"id":"2606.10158","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-06-08T20:36:57Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"25b1e719e79dbed784d9f267aad8adbadc2a19c56cbe04e5dd3aae0dd1aa1f81","abstract_canon_sha256":"2edacf84a4ee6553234adf22916c149feb250684b6c8c743a6bd4be702fe3e6e"},"schema_version":"1.0"},"canonical_sha256":"c23760c92db6305a0fa9907bdafa1052b98b8424bb37b2ece83894c90c63216c","source":{"kind":"arxiv","id":"2606.10158","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.10158","created_at":"2026-06-10T01:08:57Z"},{"alias_kind":"arxiv_version","alias_value":"2606.10158v1","created_at":"2026-06-10T01:08:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.10158","created_at":"2026-06-10T01:08:57Z"},{"alias_kind":"pith_short_12","alias_value":"YI3WBSJNWYYF","created_at":"2026-06-10T01:08:57Z"},{"alias_kind":"pith_short_16","alias_value":"YI3WBSJNWYYFUD5J","created_at":"2026-06-10T01:08:57Z"},{"alias_kind":"pith_short_8","alias_value":"YI3WBSJN","created_at":"2026-06-10T01:08:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:YI3WBSJNWYYFUD5JSB55V6QQKK","target":"record","payload":{"canonical_record":{"source":{"id":"2606.10158","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-06-08T20:36:57Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"25b1e719e79dbed784d9f267aad8adbadc2a19c56cbe04e5dd3aae0dd1aa1f81","abstract_canon_sha256":"2edacf84a4ee6553234adf22916c149feb250684b6c8c743a6bd4be702fe3e6e"},"schema_version":"1.0"},"canonical_sha256":"c23760c92db6305a0fa9907bdafa1052b98b8424bb37b2ece83894c90c63216c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-10T01:08:57.127993Z","signature_b64":"2CmFGHQBWXeV6qv8PneC/9wJ1lfYdnq38OZDkp0dUb/ElUHAfbn8MD/Eays+rtSja07aLzmN4L6q4ZzwdM/mDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c23760c92db6305a0fa9907bdafa1052b98b8424bb37b2ece83894c90c63216c","last_reissued_at":"2026-06-10T01:08:57.127109Z","signature_status":"signed_v1","first_computed_at":"2026-06-10T01:08:57.127109Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.10158","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":"2026-06-10T01:08:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tukf1JU4IYFP9oOlbX6+Xgtb73BsUxgggIkOmdQ+naaUa0JchgETM/g9gRSAVv07f4gYi0SAVf/HQgGMTKCCBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T23:21:51.746791Z"},"content_sha256":"d1f08a1e7ece3974d24c1c071ee8c35744f1e1ad42892da9e758fa923148acfd","schema_version":"1.0","event_id":"sha256:d1f08a1e7ece3974d24c1c071ee8c35744f1e1ad42892da9e758fa923148acfd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:YI3WBSJNWYYFUD5JSB55V6QQKK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"\"Where is this coming from?\" Uncovering Trustworthiness Ideals in AI-powered Peripartum Information Seeking","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.CY","authors_text":"Alex Peahl, Elizabeth Bondi-Kelly, Erin MacMurray van Liemt, Julia Erickson, Vaibhav Balloli, Xinyi Li","submitted_at":"2026-06-08T20:36:57Z","abstract_excerpt":"AI-powered tools increasingly promise to fill information gaps in health, especially in domains like maternal and reproductive health that demand timely, accurate, and actionable information. This is extremely important, as the United States leads peer nations in preventable deaths, with stark racial disparities. However, current AI and NLP-powered systems aim to improve access to vetted maternal health information by routing user queries to a factual response while under-specifying the socio-technical governance structures that shape trust, use, and harm in practice. We report findings from f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.10158","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/2606.10158/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":"2026-06-10T01:08:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zBrqZdXbYm77NnzH+DnFLlb2WRtsMYYIDDyrABvO1SPtuC5I1graPxPbp0k1mMfDhk45/XgZyZn/2p3Z/EvGAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T23:21:51.747389Z"},"content_sha256":"386ba01303fe52fe8ff3f9fa72b390950027175fc6ee3b75e70f0873b8c6aea1","schema_version":"1.0","event_id":"sha256:386ba01303fe52fe8ff3f9fa72b390950027175fc6ee3b75e70f0873b8c6aea1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YI3WBSJNWYYFUD5JSB55V6QQKK/bundle.json","state_url":"https://pith.science/pith/YI3WBSJNWYYFUD5JSB55V6QQKK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YI3WBSJNWYYFUD5JSB55V6QQKK/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":"2026-06-25T23:21:51Z","links":{"resolver":"https://pith.science/pith/YI3WBSJNWYYFUD5JSB55V6QQKK","bundle":"https://pith.science/pith/YI3WBSJNWYYFUD5JSB55V6QQKK/bundle.json","state":"https://pith.science/pith/YI3WBSJNWYYFUD5JSB55V6QQKK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YI3WBSJNWYYFUD5JSB55V6QQKK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YI3WBSJNWYYFUD5JSB55V6QQKK","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":"2edacf84a4ee6553234adf22916c149feb250684b6c8c743a6bd4be702fe3e6e","cross_cats_sorted":["cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-06-08T20:36:57Z","title_canon_sha256":"25b1e719e79dbed784d9f267aad8adbadc2a19c56cbe04e5dd3aae0dd1aa1f81"},"schema_version":"1.0","source":{"id":"2606.10158","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.10158","created_at":"2026-06-10T01:08:57Z"},{"alias_kind":"arxiv_version","alias_value":"2606.10158v1","created_at":"2026-06-10T01:08:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.10158","created_at":"2026-06-10T01:08:57Z"},{"alias_kind":"pith_short_12","alias_value":"YI3WBSJNWYYF","created_at":"2026-06-10T01:08:57Z"},{"alias_kind":"pith_short_16","alias_value":"YI3WBSJNWYYFUD5J","created_at":"2026-06-10T01:08:57Z"},{"alias_kind":"pith_short_8","alias_value":"YI3WBSJN","created_at":"2026-06-10T01:08:57Z"}],"graph_snapshots":[{"event_id":"sha256:386ba01303fe52fe8ff3f9fa72b390950027175fc6ee3b75e70f0873b8c6aea1","target":"graph","created_at":"2026-06-10T01:08:57Z","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/2606.10158/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"AI-powered tools increasingly promise to fill information gaps in health, especially in domains like maternal and reproductive health that demand timely, accurate, and actionable information. This is extremely important, as the United States leads peer nations in preventable deaths, with stark racial disparities. However, current AI and NLP-powered systems aim to improve access to vetted maternal health information by routing user queries to a factual response while under-specifying the socio-technical governance structures that shape trust, use, and harm in practice. We report findings from f","authors_text":"Alex Peahl, Elizabeth Bondi-Kelly, Erin MacMurray van Liemt, Julia Erickson, Vaibhav Balloli, Xinyi Li","cross_cats":["cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-06-08T20:36:57Z","title":"\"Where is this coming from?\" Uncovering Trustworthiness Ideals in AI-powered Peripartum Information Seeking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.10158","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:d1f08a1e7ece3974d24c1c071ee8c35744f1e1ad42892da9e758fa923148acfd","target":"record","created_at":"2026-06-10T01:08:57Z","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":"2edacf84a4ee6553234adf22916c149feb250684b6c8c743a6bd4be702fe3e6e","cross_cats_sorted":["cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-06-08T20:36:57Z","title_canon_sha256":"25b1e719e79dbed784d9f267aad8adbadc2a19c56cbe04e5dd3aae0dd1aa1f81"},"schema_version":"1.0","source":{"id":"2606.10158","kind":"arxiv","version":1}},"canonical_sha256":"c23760c92db6305a0fa9907bdafa1052b98b8424bb37b2ece83894c90c63216c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c23760c92db6305a0fa9907bdafa1052b98b8424bb37b2ece83894c90c63216c","first_computed_at":"2026-06-10T01:08:57.127109Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-10T01:08:57.127109Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2CmFGHQBWXeV6qv8PneC/9wJ1lfYdnq38OZDkp0dUb/ElUHAfbn8MD/Eays+rtSja07aLzmN4L6q4ZzwdM/mDw==","signature_status":"signed_v1","signed_at":"2026-06-10T01:08:57.127993Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.10158","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d1f08a1e7ece3974d24c1c071ee8c35744f1e1ad42892da9e758fa923148acfd","sha256:386ba01303fe52fe8ff3f9fa72b390950027175fc6ee3b75e70f0873b8c6aea1"],"state_sha256":"ff2d2e9a92eb955be537e338c81f20beea467af1fba70ab82dc72ba13c97bff7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZVR0YpNAOeKHZyPFOh3pGHrno9Ra4qvr3iJ8wte31xgjiSViMb0jFund9j44kDIa8txi4WYHPmFv0A+bM/IkAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-25T23:21:51.750189Z","bundle_sha256":"9338284a2170c255083346448f3091392060d6c5c8c26f3ed460fe36c66ae794"}}