{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:3UWQRYLZ6BL62RUQYWRN2QWQGU","short_pith_number":"pith:3UWQRYLZ","canonical_record":{"source":{"id":"2112.12876","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-12-23T23:03:24Z","cross_cats_sorted":[],"title_canon_sha256":"c1366680e60470e49370cd9bdf606af198c76f722a1ba296443c22f52a540e7a","abstract_canon_sha256":"ae486bcf85b5b4121298da347df905fec32106fa17539ce470c2bf209f0b8560"},"schema_version":"1.0"},"canonical_sha256":"dd2d08e179f057ed4690c5a2dd42d03503c6581603c3fd92db7cdbacf3282487","source":{"kind":"arxiv","id":"2112.12876","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.12876","created_at":"2026-07-05T03:43:47Z"},{"alias_kind":"arxiv_version","alias_value":"2112.12876v1","created_at":"2026-07-05T03:43:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.12876","created_at":"2026-07-05T03:43:47Z"},{"alias_kind":"pith_short_12","alias_value":"3UWQRYLZ6BL6","created_at":"2026-07-05T03:43:47Z"},{"alias_kind":"pith_short_16","alias_value":"3UWQRYLZ6BL62RUQ","created_at":"2026-07-05T03:43:47Z"},{"alias_kind":"pith_short_8","alias_value":"3UWQRYLZ","created_at":"2026-07-05T03:43:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:3UWQRYLZ6BL62RUQYWRN2QWQGU","target":"record","payload":{"canonical_record":{"source":{"id":"2112.12876","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-12-23T23:03:24Z","cross_cats_sorted":[],"title_canon_sha256":"c1366680e60470e49370cd9bdf606af198c76f722a1ba296443c22f52a540e7a","abstract_canon_sha256":"ae486bcf85b5b4121298da347df905fec32106fa17539ce470c2bf209f0b8560"},"schema_version":"1.0"},"canonical_sha256":"dd2d08e179f057ed4690c5a2dd42d03503c6581603c3fd92db7cdbacf3282487","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:43:47.785117Z","signature_b64":"w6GZUKCDld5FoGvuNfnyYUlMSQrnOp1vKkBYlv8zr3HdBlJ3qTRR/UNqfT4okV6g5/hQnEPgKUQxEouF9zJ2BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd2d08e179f057ed4690c5a2dd42d03503c6581603c3fd92db7cdbacf3282487","last_reissued_at":"2026-07-05T03:43:47.784695Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:43:47.784695Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2112.12876","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":"2026-07-05T03:43:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"be8XfHK3RLD3uPFiH+Zlg3+NWn5ol7zecVG1w0Oq5VSy4gO0TWLzHBW4tgxpbzUWCv1qd5rGbcpcmVajkIpzDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T19:20:14.872035Z"},"content_sha256":"97d8fc3020406291dc8d8e511cb6674009808d5205fbc124401ef8cca97b3487","schema_version":"1.0","event_id":"sha256:97d8fc3020406291dc8d8e511cb6674009808d5205fbc124401ef8cca97b3487"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:3UWQRYLZ6BL62RUQYWRN2QWQGU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning to Walk with Dual Agents for Knowledge Graph Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Denghui Zhang, Hao Liu, Hui Xiong, Xiaodong Lin, Zixuan Yuan","submitted_at":"2021-12-23T23:03:24Z","abstract_excerpt":"Graph walking based on reinforcement learning (RL) has shown great success in navigating an agent to automatically complete various reasoning tasks over an incomplete knowledge graph (KG) by exploring multi-hop relational paths. However, existing multi-hop reasoning approaches only work well on short reasoning paths and tend to miss the target entity with the increasing path length. This is undesirable for many reason-ing tasks in real-world scenarios, where short paths connecting the source and target entities are not available in incomplete KGs, and thus the reasoning performances drop drast"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.12876","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/2112.12876/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":"2026-07-05T03:43:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wdHfZ7nc8qjHgG7QPRcAPmbxnWMHwmvuz4BLNTOoTcDDRpIhkoMPVvKZvXDYz5KJnHEg8/I8iycqRnsFa71HDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T19:20:14.872668Z"},"content_sha256":"9005ab8ecdffbd68cc937b58163c0a6f680589bf421aa4cd57d212225785a118","schema_version":"1.0","event_id":"sha256:9005ab8ecdffbd68cc937b58163c0a6f680589bf421aa4cd57d212225785a118"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3UWQRYLZ6BL62RUQYWRN2QWQGU/bundle.json","state_url":"https://pith.science/pith/3UWQRYLZ6BL62RUQYWRN2QWQGU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3UWQRYLZ6BL62RUQYWRN2QWQGU/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":"2026-08-17T19:20:14Z","links":{"resolver":"https://pith.science/pith/3UWQRYLZ6BL62RUQYWRN2QWQGU","bundle":"https://pith.science/pith/3UWQRYLZ6BL62RUQYWRN2QWQGU/bundle.json","state":"https://pith.science/pith/3UWQRYLZ6BL62RUQYWRN2QWQGU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3UWQRYLZ6BL62RUQYWRN2QWQGU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:3UWQRYLZ6BL62RUQYWRN2QWQGU","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":"ae486bcf85b5b4121298da347df905fec32106fa17539ce470c2bf209f0b8560","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-12-23T23:03:24Z","title_canon_sha256":"c1366680e60470e49370cd9bdf606af198c76f722a1ba296443c22f52a540e7a"},"schema_version":"1.0","source":{"id":"2112.12876","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.12876","created_at":"2026-07-05T03:43:47Z"},{"alias_kind":"arxiv_version","alias_value":"2112.12876v1","created_at":"2026-07-05T03:43:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.12876","created_at":"2026-07-05T03:43:47Z"},{"alias_kind":"pith_short_12","alias_value":"3UWQRYLZ6BL6","created_at":"2026-07-05T03:43:47Z"},{"alias_kind":"pith_short_16","alias_value":"3UWQRYLZ6BL62RUQ","created_at":"2026-07-05T03:43:47Z"},{"alias_kind":"pith_short_8","alias_value":"3UWQRYLZ","created_at":"2026-07-05T03:43:47Z"}],"graph_snapshots":[{"event_id":"sha256:9005ab8ecdffbd68cc937b58163c0a6f680589bf421aa4cd57d212225785a118","target":"graph","created_at":"2026-07-05T03:43:47Z","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/2112.12876/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph walking based on reinforcement learning (RL) has shown great success in navigating an agent to automatically complete various reasoning tasks over an incomplete knowledge graph (KG) by exploring multi-hop relational paths. However, existing multi-hop reasoning approaches only work well on short reasoning paths and tend to miss the target entity with the increasing path length. This is undesirable for many reason-ing tasks in real-world scenarios, where short paths connecting the source and target entities are not available in incomplete KGs, and thus the reasoning performances drop drast","authors_text":"Denghui Zhang, Hao Liu, Hui Xiong, Xiaodong Lin, Zixuan Yuan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-12-23T23:03:24Z","title":"Learning to Walk with Dual Agents for Knowledge Graph Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.12876","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":"sha256:97d8fc3020406291dc8d8e511cb6674009808d5205fbc124401ef8cca97b3487","target":"record","created_at":"2026-07-05T03:43:47Z","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":"ae486bcf85b5b4121298da347df905fec32106fa17539ce470c2bf209f0b8560","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-12-23T23:03:24Z","title_canon_sha256":"c1366680e60470e49370cd9bdf606af198c76f722a1ba296443c22f52a540e7a"},"schema_version":"1.0","source":{"id":"2112.12876","kind":"arxiv","version":1}},"canonical_sha256":"dd2d08e179f057ed4690c5a2dd42d03503c6581603c3fd92db7cdbacf3282487","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd2d08e179f057ed4690c5a2dd42d03503c6581603c3fd92db7cdbacf3282487","first_computed_at":"2026-07-05T03:43:47.784695Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:43:47.784695Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"w6GZUKCDld5FoGvuNfnyYUlMSQrnOp1vKkBYlv8zr3HdBlJ3qTRR/UNqfT4okV6g5/hQnEPgKUQxEouF9zJ2BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:43:47.785117Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.12876","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:97d8fc3020406291dc8d8e511cb6674009808d5205fbc124401ef8cca97b3487","sha256:9005ab8ecdffbd68cc937b58163c0a6f680589bf421aa4cd57d212225785a118"],"state_sha256":"e4d2a6f71099e458f9ff0abf9fea4cac36c1e2f5318def34a1b2648ac262e323"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fyc24AHsEGTxzlosk7B/NrlMYfsfGAKBpqFi/gtukJVuwoDru2eZYiENB7cTZyyIF6j92oCf9hNxsBznBz9gCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T19:20:14.877082Z","bundle_sha256":"17e1e25e15d6a6bf1d84943e6340ea14e58125c8abdeffe43f0f86028ff0d467"}}