{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:KKEBNBBVKNXBYEC7DHMHEM2DU4","short_pith_number":"pith:KKEBNBBV","canonical_record":{"source":{"id":"2202.10407","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-21T18:09:56Z","cross_cats_sorted":["cs.AI","cs.CY"],"title_canon_sha256":"40187ab331afcbe0bfa2f252e01c7cdfdd7ad27b20a299834a4ae59a902d4103","abstract_canon_sha256":"7cf88b1135752209b7eba4f6f8f4abbefcd249eff0966df85c7288b1df8f72b5"},"schema_version":"1.0"},"canonical_sha256":"5288168435536e1c105f19d8723343a71ce00a61d2374794d7cf7be8ba50cc2a","source":{"kind":"arxiv","id":"2202.10407","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.10407","created_at":"2026-07-05T03:58:42Z"},{"alias_kind":"arxiv_version","alias_value":"2202.10407v1","created_at":"2026-07-05T03:58:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.10407","created_at":"2026-07-05T03:58:42Z"},{"alias_kind":"pith_short_12","alias_value":"KKEBNBBVKNXB","created_at":"2026-07-05T03:58:42Z"},{"alias_kind":"pith_short_16","alias_value":"KKEBNBBVKNXBYEC7","created_at":"2026-07-05T03:58:42Z"},{"alias_kind":"pith_short_8","alias_value":"KKEBNBBV","created_at":"2026-07-05T03:58:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:KKEBNBBVKNXBYEC7DHMHEM2DU4","target":"record","payload":{"canonical_record":{"source":{"id":"2202.10407","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-21T18:09:56Z","cross_cats_sorted":["cs.AI","cs.CY"],"title_canon_sha256":"40187ab331afcbe0bfa2f252e01c7cdfdd7ad27b20a299834a4ae59a902d4103","abstract_canon_sha256":"7cf88b1135752209b7eba4f6f8f4abbefcd249eff0966df85c7288b1df8f72b5"},"schema_version":"1.0"},"canonical_sha256":"5288168435536e1c105f19d8723343a71ce00a61d2374794d7cf7be8ba50cc2a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:58:42.129336Z","signature_b64":"eB3/zYqqRE3RBGknMdkk5Fox1pRJkfoJgFfCf31oEhgiN/D7Ojw1pHL6XD4IJD3y/pe8fBDmcJkY0bD6nE5sCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5288168435536e1c105f19d8723343a71ce00a61d2374794d7cf7be8ba50cc2a","last_reissued_at":"2026-07-05T03:58:42.128934Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:58:42.128934Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.10407","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":"2026-07-05T03:58:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0NKW63sEK69WdDZF+HptysZpSXUXlylLdn7xXhg3SiHFWepQpk6PXKGhtd3dtzVohoDcvxZSEI2uojMA1a3VBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T14:16:23.884489Z"},"content_sha256":"c56dd46524cb3777aee205945760a5b49ec18ad63d5355000a806c265c32d33c","schema_version":"1.0","event_id":"sha256:c56dd46524cb3777aee205945760a5b49ec18ad63d5355000a806c265c32d33c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:KKEBNBBVKNXBYEC7DHMHEM2DU4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Behavioral Soft Constraints from Demonstrations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CY"],"primary_cat":"cs.LG","authors_text":"Andrea Loreggia, Arie Glazier, Brent Venable, Francesca Rossi, Nicholas Mattei, Taher Rahgooy","submitted_at":"2022-02-21T18:09:56Z","abstract_excerpt":"Many real-life scenarios require humans to make difficult trade-offs: do we always follow all the traffic rules or do we violate the speed limit in an emergency? These scenarios force us to evaluate the trade-off between collective rules and norms with our own personal objectives and desires. To create effective AI-human teams, we must equip AI agents with a model of how humans make these trade-offs in complex environments when there are implicit and explicit rules and constraints. Agent equipped with these models will be able to mirror human behavior and/or to draw human attention to situatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.10407","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/2202.10407/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":"2026-07-05T03:58:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J9Xidjatv/Rxet1f8nvn8VMXkPIrc8xcBTJLNMXyPlEw61dr/WhbksSH6DmIw8RuehXAsOVGrq0Q030C6Cn/DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T14:16:23.884862Z"},"content_sha256":"8aad72e4a8ef7d8a6dede54285a6f02abe5353184893ab759bd25e5bd85b046c","schema_version":"1.0","event_id":"sha256:8aad72e4a8ef7d8a6dede54285a6f02abe5353184893ab759bd25e5bd85b046c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KKEBNBBVKNXBYEC7DHMHEM2DU4/bundle.json","state_url":"https://pith.science/pith/KKEBNBBVKNXBYEC7DHMHEM2DU4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KKEBNBBVKNXBYEC7DHMHEM2DU4/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":"2026-07-05T14:16:23Z","links":{"resolver":"https://pith.science/pith/KKEBNBBVKNXBYEC7DHMHEM2DU4","bundle":"https://pith.science/pith/KKEBNBBVKNXBYEC7DHMHEM2DU4/bundle.json","state":"https://pith.science/pith/KKEBNBBVKNXBYEC7DHMHEM2DU4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KKEBNBBVKNXBYEC7DHMHEM2DU4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:KKEBNBBVKNXBYEC7DHMHEM2DU4","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":"7cf88b1135752209b7eba4f6f8f4abbefcd249eff0966df85c7288b1df8f72b5","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-21T18:09:56Z","title_canon_sha256":"40187ab331afcbe0bfa2f252e01c7cdfdd7ad27b20a299834a4ae59a902d4103"},"schema_version":"1.0","source":{"id":"2202.10407","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.10407","created_at":"2026-07-05T03:58:42Z"},{"alias_kind":"arxiv_version","alias_value":"2202.10407v1","created_at":"2026-07-05T03:58:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.10407","created_at":"2026-07-05T03:58:42Z"},{"alias_kind":"pith_short_12","alias_value":"KKEBNBBVKNXB","created_at":"2026-07-05T03:58:42Z"},{"alias_kind":"pith_short_16","alias_value":"KKEBNBBVKNXBYEC7","created_at":"2026-07-05T03:58:42Z"},{"alias_kind":"pith_short_8","alias_value":"KKEBNBBV","created_at":"2026-07-05T03:58:42Z"}],"graph_snapshots":[{"event_id":"sha256:8aad72e4a8ef7d8a6dede54285a6f02abe5353184893ab759bd25e5bd85b046c","target":"graph","created_at":"2026-07-05T03:58:42Z","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/2202.10407/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many real-life scenarios require humans to make difficult trade-offs: do we always follow all the traffic rules or do we violate the speed limit in an emergency? These scenarios force us to evaluate the trade-off between collective rules and norms with our own personal objectives and desires. To create effective AI-human teams, we must equip AI agents with a model of how humans make these trade-offs in complex environments when there are implicit and explicit rules and constraints. Agent equipped with these models will be able to mirror human behavior and/or to draw human attention to situatio","authors_text":"Andrea Loreggia, Arie Glazier, Brent Venable, Francesca Rossi, Nicholas Mattei, Taher Rahgooy","cross_cats":["cs.AI","cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-21T18:09:56Z","title":"Learning Behavioral Soft Constraints from Demonstrations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.10407","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:c56dd46524cb3777aee205945760a5b49ec18ad63d5355000a806c265c32d33c","target":"record","created_at":"2026-07-05T03:58:42Z","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":"7cf88b1135752209b7eba4f6f8f4abbefcd249eff0966df85c7288b1df8f72b5","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-21T18:09:56Z","title_canon_sha256":"40187ab331afcbe0bfa2f252e01c7cdfdd7ad27b20a299834a4ae59a902d4103"},"schema_version":"1.0","source":{"id":"2202.10407","kind":"arxiv","version":1}},"canonical_sha256":"5288168435536e1c105f19d8723343a71ce00a61d2374794d7cf7be8ba50cc2a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5288168435536e1c105f19d8723343a71ce00a61d2374794d7cf7be8ba50cc2a","first_computed_at":"2026-07-05T03:58:42.128934Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:58:42.128934Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eB3/zYqqRE3RBGknMdkk5Fox1pRJkfoJgFfCf31oEhgiN/D7Ojw1pHL6XD4IJD3y/pe8fBDmcJkY0bD6nE5sCw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:58:42.129336Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.10407","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c56dd46524cb3777aee205945760a5b49ec18ad63d5355000a806c265c32d33c","sha256:8aad72e4a8ef7d8a6dede54285a6f02abe5353184893ab759bd25e5bd85b046c"],"state_sha256":"6cef3b98bf9d654eaa3f19730512c91b0dbfb7ec2f3082ea0ff8263da992cb34"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WlbWQU+YY3Vr/17jBK7xZaeAF4s9qfQtx4ZVx0iGqak+A/Wf30gXAVT/TS5IXz2maE3uMEtbpD+A0NVq0stbCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T14:16:23.886997Z","bundle_sha256":"6388ecb6434896788c84298f7462d7a18b2b3f2f02bcfc411cae7b0071029e03"}}