{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:G7G7AJ7TBYUQL4JXDADP3KJLMC","short_pith_number":"pith:G7G7AJ7T","canonical_record":{"source":{"id":"1709.04517","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-09-13T19:50:44Z","cross_cats_sorted":["cs.CY","cs.HC"],"title_canon_sha256":"25694044f0d118dd196700772856216257316c6fd529567cab27aa41a0a934c4","abstract_canon_sha256":"c22e7bb382ef20ed7fc2d3fc6ca98a5ab016ba8fde4101656c4307a47c43392c"},"schema_version":"1.0"},"canonical_sha256":"37cdf027f30e2905f1371806fda92b608cf72322f662be6963e8476f86956e24","source":{"kind":"arxiv","id":"1709.04517","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.04517","created_at":"2026-05-18T00:24:04Z"},{"alias_kind":"arxiv_version","alias_value":"1709.04517v2","created_at":"2026-05-18T00:24:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.04517","created_at":"2026-05-18T00:24:04Z"},{"alias_kind":"pith_short_12","alias_value":"G7G7AJ7TBYUQ","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_16","alias_value":"G7G7AJ7TBYUQL4JX","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_8","alias_value":"G7G7AJ7T","created_at":"2026-05-18T12:31:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:G7G7AJ7TBYUQL4JXDADP3KJLMC","target":"record","payload":{"canonical_record":{"source":{"id":"1709.04517","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-09-13T19:50:44Z","cross_cats_sorted":["cs.CY","cs.HC"],"title_canon_sha256":"25694044f0d118dd196700772856216257316c6fd529567cab27aa41a0a934c4","abstract_canon_sha256":"c22e7bb382ef20ed7fc2d3fc6ca98a5ab016ba8fde4101656c4307a47c43392c"},"schema_version":"1.0"},"canonical_sha256":"37cdf027f30e2905f1371806fda92b608cf72322f662be6963e8476f86956e24","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:24:04.119854Z","signature_b64":"MeSDoUK1DXwGF6uoJN71zj7ftEH5TDQH7RuM9nqiSmjEwoPHnGIABbnMiMjl9DVZsBBsC3gW/YMlJF4wVH3TAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"37cdf027f30e2905f1371806fda92b608cf72322f662be6963e8476f86956e24","last_reissued_at":"2026-05-18T00:24:04.119377Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:24:04.119377Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1709.04517","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:24:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7vc5YdNA8bz7eik67Dl0DTKIfkb4173eGsNjfTryCedsKAWXt9CVRcDjbqgulxRv0F/zskTXiOOMt0uoYEfUBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T03:27:19.666605Z"},"content_sha256":"1c3fb29407dc247429ecb6da66d63fb464fcd3bdfb0aa3796625d959fb79889d","schema_version":"1.0","event_id":"sha256:1c3fb29407dc247429ecb6da66d63fb464fcd3bdfb0aa3796625d959fb79889d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:G7G7AJ7TBYUQL4JXDADP3KJLMC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Visualizations for an Explainable Planning Agent","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY","cs.HC"],"primary_cat":"cs.AI","authors_text":"Biplav Srivastava, Jeffrey O. Kephart, Kartik Talamadupula, Kshitij P. Fadnis, Mishal Dholakia, Rachel K. E. Bellamy, Tathagata Chakraborti","submitted_at":"2017-09-13T19:50:44Z","abstract_excerpt":"In this paper, we report on the visualization capabilities of an Explainable AI Planning (XAIP) agent that can support human in the loop decision making. Imposing transparency and explainability requirements on such agents is especially important in order to establish trust and common ground with the end-to-end automated planning system. Visualizing the agent's internal decision-making processes is a crucial step towards achieving this. This may include externalizing the \"brain\" of the agent -- starting from its sensory inputs, to progressively higher order decisions made by it in order to dri"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.04517","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:24:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t5X1tgFQHGPu18APEDURao30CPNwsIVJxRUXeHQUFPlThd+CxPaVlIC3/Tq41LhtWoIWoQH8zLPdUzfuokEoAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T03:27:19.666978Z"},"content_sha256":"2bd83992c24dd65ce729bf54c1b80a6c368a78af365a0c46413d92989800b653","schema_version":"1.0","event_id":"sha256:2bd83992c24dd65ce729bf54c1b80a6c368a78af365a0c46413d92989800b653"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/G7G7AJ7TBYUQL4JXDADP3KJLMC/bundle.json","state_url":"https://pith.science/pith/G7G7AJ7TBYUQL4JXDADP3KJLMC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/G7G7AJ7TBYUQL4JXDADP3KJLMC/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":"2026-05-28T03:27:19Z","links":{"resolver":"https://pith.science/pith/G7G7AJ7TBYUQL4JXDADP3KJLMC","bundle":"https://pith.science/pith/G7G7AJ7TBYUQL4JXDADP3KJLMC/bundle.json","state":"https://pith.science/pith/G7G7AJ7TBYUQL4JXDADP3KJLMC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/G7G7AJ7TBYUQL4JXDADP3KJLMC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:G7G7AJ7TBYUQL4JXDADP3KJLMC","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":"c22e7bb382ef20ed7fc2d3fc6ca98a5ab016ba8fde4101656c4307a47c43392c","cross_cats_sorted":["cs.CY","cs.HC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-09-13T19:50:44Z","title_canon_sha256":"25694044f0d118dd196700772856216257316c6fd529567cab27aa41a0a934c4"},"schema_version":"1.0","source":{"id":"1709.04517","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.04517","created_at":"2026-05-18T00:24:04Z"},{"alias_kind":"arxiv_version","alias_value":"1709.04517v2","created_at":"2026-05-18T00:24:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.04517","created_at":"2026-05-18T00:24:04Z"},{"alias_kind":"pith_short_12","alias_value":"G7G7AJ7TBYUQ","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_16","alias_value":"G7G7AJ7TBYUQL4JX","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_8","alias_value":"G7G7AJ7T","created_at":"2026-05-18T12:31:15Z"}],"graph_snapshots":[{"event_id":"sha256:2bd83992c24dd65ce729bf54c1b80a6c368a78af365a0c46413d92989800b653","target":"graph","created_at":"2026-05-18T00:24:04Z","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"},"paper":{"abstract_excerpt":"In this paper, we report on the visualization capabilities of an Explainable AI Planning (XAIP) agent that can support human in the loop decision making. Imposing transparency and explainability requirements on such agents is especially important in order to establish trust and common ground with the end-to-end automated planning system. Visualizing the agent's internal decision-making processes is a crucial step towards achieving this. This may include externalizing the \"brain\" of the agent -- starting from its sensory inputs, to progressively higher order decisions made by it in order to dri","authors_text":"Biplav Srivastava, Jeffrey O. Kephart, Kartik Talamadupula, Kshitij P. Fadnis, Mishal Dholakia, Rachel K. E. Bellamy, Tathagata Chakraborti","cross_cats":["cs.CY","cs.HC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-09-13T19:50:44Z","title":"Visualizations for an Explainable Planning Agent"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.04517","kind":"arxiv","version":2},"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":"sha256:1c3fb29407dc247429ecb6da66d63fb464fcd3bdfb0aa3796625d959fb79889d","target":"record","created_at":"2026-05-18T00:24:04Z","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":"c22e7bb382ef20ed7fc2d3fc6ca98a5ab016ba8fde4101656c4307a47c43392c","cross_cats_sorted":["cs.CY","cs.HC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-09-13T19:50:44Z","title_canon_sha256":"25694044f0d118dd196700772856216257316c6fd529567cab27aa41a0a934c4"},"schema_version":"1.0","source":{"id":"1709.04517","kind":"arxiv","version":2}},"canonical_sha256":"37cdf027f30e2905f1371806fda92b608cf72322f662be6963e8476f86956e24","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"37cdf027f30e2905f1371806fda92b608cf72322f662be6963e8476f86956e24","first_computed_at":"2026-05-18T00:24:04.119377Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:24:04.119377Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MeSDoUK1DXwGF6uoJN71zj7ftEH5TDQH7RuM9nqiSmjEwoPHnGIABbnMiMjl9DVZsBBsC3gW/YMlJF4wVH3TAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:24:04.119854Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.04517","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c3fb29407dc247429ecb6da66d63fb464fcd3bdfb0aa3796625d959fb79889d","sha256:2bd83992c24dd65ce729bf54c1b80a6c368a78af365a0c46413d92989800b653"],"state_sha256":"f38e81eaf22909c3446305d2fb39a57dc5e5ccb589065376c6148cef9d679c58"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"te5pL31dEA1sCLD6iTcuUOeVyj/WFsZuPkqzOBZwN4HPtm0aQJp682RQhPL9gyWX1ZMJ6vW4C+SHysIsvNopCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T03:27:19.669122Z","bundle_sha256":"9081ec8125b2a5137fc9706f3bff26f52cb7696fa0d829abbb9c00b35d43b6fa"}}