{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:ZASP3ZDUMFU4KWMVRTKBQRRJFN","short_pith_number":"pith:ZASP3ZDU","canonical_record":{"source":{"id":"2201.04204","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-01-11T21:13:22Z","cross_cats_sorted":[],"title_canon_sha256":"27b9c9afba737decea53dccd5e7cc5dc13cddaf518ad89e2ddbe53e8e742cebf","abstract_canon_sha256":"26db6e226bc117d4fae149017b05f6f550572f453ee3b587b1c99534441e8acc"},"schema_version":"1.0"},"canonical_sha256":"c824fde4746169c559958cd41846292b64ba49dc8144069f541f260f3b28c62d","source":{"kind":"arxiv","id":"2201.04204","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.04204","created_at":"2026-07-05T05:38:26Z"},{"alias_kind":"arxiv_version","alias_value":"2201.04204v3","created_at":"2026-07-05T05:38:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.04204","created_at":"2026-07-05T05:38:26Z"},{"alias_kind":"pith_short_12","alias_value":"ZASP3ZDUMFU4","created_at":"2026-07-05T05:38:26Z"},{"alias_kind":"pith_short_16","alias_value":"ZASP3ZDUMFU4KWMV","created_at":"2026-07-05T05:38:26Z"},{"alias_kind":"pith_short_8","alias_value":"ZASP3ZDU","created_at":"2026-07-05T05:38:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:ZASP3ZDUMFU4KWMVRTKBQRRJFN","target":"record","payload":{"canonical_record":{"source":{"id":"2201.04204","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-01-11T21:13:22Z","cross_cats_sorted":[],"title_canon_sha256":"27b9c9afba737decea53dccd5e7cc5dc13cddaf518ad89e2ddbe53e8e742cebf","abstract_canon_sha256":"26db6e226bc117d4fae149017b05f6f550572f453ee3b587b1c99534441e8acc"},"schema_version":"1.0"},"canonical_sha256":"c824fde4746169c559958cd41846292b64ba49dc8144069f541f260f3b28c62d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:38:26.845222Z","signature_b64":"QYxvmyKWIdpSBvgb5/Bd9fypjuk/btWp4TkV00EKb+0c6sQ4NzlHYaGU+3pxfzAb79S7koXi3DuZ7XpxRSDPDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c824fde4746169c559958cd41846292b64ba49dc8144069f541f260f3b28c62d","last_reissued_at":"2026-07-05T05:38:26.844775Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:38:26.844775Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2201.04204","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:38:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dBP1Ds+wBRgL0k0sUAnkAIZ1LlbOHKVEgrbDTmNN2RGHJBv4PpsWoVnKx24e1xxl1Yw3grIaBGtLWLjkmypDAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:53:46.244370Z"},"content_sha256":"f7eb5a08620dfcc772ee9d2a3d4dec76f916e21001d1f1024073ca60b355047d","schema_version":"1.0","event_id":"sha256:f7eb5a08620dfcc772ee9d2a3d4dec76f916e21001d1f1024073ca60b355047d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:ZASP3ZDUMFU4KWMVRTKBQRRJFN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Subgoal-Based Explanations for Unreliable Intelligent Decision Support Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Been Kim, Devleena Das, Sonia Chernova","submitted_at":"2022-01-11T21:13:22Z","abstract_excerpt":"Intelligent decision support (IDS) systems leverage artificial intelligence techniques to generate recommendations that guide human users through the decision making phases of a task. However, a key challenge is that IDS systems are not perfect, and in complex real-world scenarios may produce incorrect output or fail to work altogether. The field of explainable AI planning (XAIP) has sought to develop techniques that make the decision making of sequential decision making AI systems more explainable to end-users. Critically, prior work in applying XAIP techniques to IDS systems has assumed that"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.04204","kind":"arxiv","version":3},"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/2201.04204/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":"2026-07-05T05:38:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fnhAQ58QBPKFSsWNa2HrVfoYTQ+tICdhGfUlbdpB9uzKqO14s29+Gk5MR+Y6jw15UbQdMVXXMdwJ6Rg26MMbAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:53:46.244909Z"},"content_sha256":"834ce7c53d02e44a031bb66da85abf9d4f2d8bdcd86d9fee05014150fbbe6ca8","schema_version":"1.0","event_id":"sha256:834ce7c53d02e44a031bb66da85abf9d4f2d8bdcd86d9fee05014150fbbe6ca8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZASP3ZDUMFU4KWMVRTKBQRRJFN/bundle.json","state_url":"https://pith.science/pith/ZASP3ZDUMFU4KWMVRTKBQRRJFN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZASP3ZDUMFU4KWMVRTKBQRRJFN/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":"2026-07-06T16:53:46Z","links":{"resolver":"https://pith.science/pith/ZASP3ZDUMFU4KWMVRTKBQRRJFN","bundle":"https://pith.science/pith/ZASP3ZDUMFU4KWMVRTKBQRRJFN/bundle.json","state":"https://pith.science/pith/ZASP3ZDUMFU4KWMVRTKBQRRJFN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZASP3ZDUMFU4KWMVRTKBQRRJFN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:ZASP3ZDUMFU4KWMVRTKBQRRJFN","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":"26db6e226bc117d4fae149017b05f6f550572f453ee3b587b1c99534441e8acc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-01-11T21:13:22Z","title_canon_sha256":"27b9c9afba737decea53dccd5e7cc5dc13cddaf518ad89e2ddbe53e8e742cebf"},"schema_version":"1.0","source":{"id":"2201.04204","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.04204","created_at":"2026-07-05T05:38:26Z"},{"alias_kind":"arxiv_version","alias_value":"2201.04204v3","created_at":"2026-07-05T05:38:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.04204","created_at":"2026-07-05T05:38:26Z"},{"alias_kind":"pith_short_12","alias_value":"ZASP3ZDUMFU4","created_at":"2026-07-05T05:38:26Z"},{"alias_kind":"pith_short_16","alias_value":"ZASP3ZDUMFU4KWMV","created_at":"2026-07-05T05:38:26Z"},{"alias_kind":"pith_short_8","alias_value":"ZASP3ZDU","created_at":"2026-07-05T05:38:26Z"}],"graph_snapshots":[{"event_id":"sha256:834ce7c53d02e44a031bb66da85abf9d4f2d8bdcd86d9fee05014150fbbe6ca8","target":"graph","created_at":"2026-07-05T05:38:26Z","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/2201.04204/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Intelligent decision support (IDS) systems leverage artificial intelligence techniques to generate recommendations that guide human users through the decision making phases of a task. However, a key challenge is that IDS systems are not perfect, and in complex real-world scenarios may produce incorrect output or fail to work altogether. The field of explainable AI planning (XAIP) has sought to develop techniques that make the decision making of sequential decision making AI systems more explainable to end-users. Critically, prior work in applying XAIP techniques to IDS systems has assumed that","authors_text":"Been Kim, Devleena Das, Sonia Chernova","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-01-11T21:13:22Z","title":"Subgoal-Based Explanations for Unreliable Intelligent Decision Support Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.04204","kind":"arxiv","version":3},"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:f7eb5a08620dfcc772ee9d2a3d4dec76f916e21001d1f1024073ca60b355047d","target":"record","created_at":"2026-07-05T05:38:26Z","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":"26db6e226bc117d4fae149017b05f6f550572f453ee3b587b1c99534441e8acc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-01-11T21:13:22Z","title_canon_sha256":"27b9c9afba737decea53dccd5e7cc5dc13cddaf518ad89e2ddbe53e8e742cebf"},"schema_version":"1.0","source":{"id":"2201.04204","kind":"arxiv","version":3}},"canonical_sha256":"c824fde4746169c559958cd41846292b64ba49dc8144069f541f260f3b28c62d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c824fde4746169c559958cd41846292b64ba49dc8144069f541f260f3b28c62d","first_computed_at":"2026-07-05T05:38:26.844775Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:38:26.844775Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QYxvmyKWIdpSBvgb5/Bd9fypjuk/btWp4TkV00EKb+0c6sQ4NzlHYaGU+3pxfzAb79S7koXi3DuZ7XpxRSDPDw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:38:26.845222Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.04204","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f7eb5a08620dfcc772ee9d2a3d4dec76f916e21001d1f1024073ca60b355047d","sha256:834ce7c53d02e44a031bb66da85abf9d4f2d8bdcd86d9fee05014150fbbe6ca8"],"state_sha256":"f5169bf74abb88da56ef502d3990e73d9e048fcf26888674bd7dec8107299698"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BCyiPCl/84dy6sgD3PsnTgH8Xe9RueUVbbotixqavHq9oZe6f+XklVBqcZ+WYOrft5oqvr0DLTqCKQiIvn27DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T16:53:46.247274Z","bundle_sha256":"d2f732f22d157bdcc3ff439b120e211aacf8e4417b8652342586447ee55e8de2"}}