{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:WZQEK237EW6V6QCXKHFUQ5WHBZ","short_pith_number":"pith:WZQEK237","canonical_record":{"source":{"id":"2201.06206","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-01-17T04:22:54Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"045f400b179300167772c969dbf93d3c6e6e0a44a971a95e7648d6417cbb4136","abstract_canon_sha256":"9b521cfec4414292c49a8569fa4ae2492befe3eaa296bdd0cd957635c3074f09"},"schema_version":"1.0"},"canonical_sha256":"b660456b7f25bd5f405751cb4876c70e517ca06844a7f429c2c9db5c3a6ec0b5","source":{"kind":"arxiv","id":"2201.06206","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.06206","created_at":"2026-07-05T05:11:36Z"},{"alias_kind":"arxiv_version","alias_value":"2201.06206v3","created_at":"2026-07-05T05:11:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.06206","created_at":"2026-07-05T05:11:36Z"},{"alias_kind":"pith_short_12","alias_value":"WZQEK237EW6V","created_at":"2026-07-05T05:11:36Z"},{"alias_kind":"pith_short_16","alias_value":"WZQEK237EW6V6QCX","created_at":"2026-07-05T05:11:36Z"},{"alias_kind":"pith_short_8","alias_value":"WZQEK237","created_at":"2026-07-05T05:11:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:WZQEK237EW6V6QCXKHFUQ5WHBZ","target":"record","payload":{"canonical_record":{"source":{"id":"2201.06206","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-01-17T04:22:54Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"045f400b179300167772c969dbf93d3c6e6e0a44a971a95e7648d6417cbb4136","abstract_canon_sha256":"9b521cfec4414292c49a8569fa4ae2492befe3eaa296bdd0cd957635c3074f09"},"schema_version":"1.0"},"canonical_sha256":"b660456b7f25bd5f405751cb4876c70e517ca06844a7f429c2c9db5c3a6ec0b5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:11:36.468883Z","signature_b64":"yaWkiAkCAKQoJlvoCemCfRQeew6bQG6Gkm+eVt8VMp5bMI9VLvGn8BKsouwYNvRR9abbpKc40f5ilYQAOpw3CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b660456b7f25bd5f405751cb4876c70e517ca06844a7f429c2c9db5c3a6ec0b5","last_reissued_at":"2026-07-05T05:11:36.468393Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:11:36.468393Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2201.06206","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":"2026-07-05T05:11:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ThK9JFXgyNU5Z2rguQy9fdPzyaEd412Gm5LFkq2hm89Nlrz4ZrD4gLT/3NqMBmffBYNBCTzCqnqniqyvmlpwCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T18:27:15.741411Z"},"content_sha256":"cb7f9ba9368df9800598f9777187d6c386189087746ebf15926ffd1422c86311","schema_version":"1.0","event_id":"sha256:cb7f9ba9368df9800598f9777187d6c386189087746ebf15926ffd1422c86311"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:WZQEK237EW6V6QCXKHFUQ5WHBZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SI"],"primary_cat":"cs.CL","authors_text":"Feiyu Xiong, Juanzi Li, Lei Hou, Xin Lv, Yincen Qu, Yushi Bai, Zelin Dai","submitted_at":"2022-01-17T04:22:54Z","abstract_excerpt":"Multi-hop knowledge graph (KG) reasoning has been widely studied in recent years to provide interpretable predictions on missing links with evidential paths. Most previous works use reinforcement learning (RL) based methods that learn to navigate the path towards the target entity. However, these methods suffer from slow and poor convergence, and they may fail to infer a certain path when there is a missing edge along the path. Here we present SQUIRE, the first Sequence-to-sequence based multi-hop reasoning framework, which utilizes an encoder-decoder Transformer structure to translate the que"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.06206","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/2201.06206/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":"2026-07-05T05:11:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IjO9ioxUggSrE/AVSjLUjhRbbxuEMYLj6/E2PmCv03ky/jrPe0gbak+AeBt2NMjdd2YIToSLD8hjfQePx3uJBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T18:27:15.741987Z"},"content_sha256":"631e938636e3c51c91eef7cafdbf0688f3c4025cdc87a47e6e594799f80a59ca","schema_version":"1.0","event_id":"sha256:631e938636e3c51c91eef7cafdbf0688f3c4025cdc87a47e6e594799f80a59ca"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WZQEK237EW6V6QCXKHFUQ5WHBZ/bundle.json","state_url":"https://pith.science/pith/WZQEK237EW6V6QCXKHFUQ5WHBZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WZQEK237EW6V6QCXKHFUQ5WHBZ/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":"2026-08-23T18:27:15Z","links":{"resolver":"https://pith.science/pith/WZQEK237EW6V6QCXKHFUQ5WHBZ","bundle":"https://pith.science/pith/WZQEK237EW6V6QCXKHFUQ5WHBZ/bundle.json","state":"https://pith.science/pith/WZQEK237EW6V6QCXKHFUQ5WHBZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WZQEK237EW6V6QCXKHFUQ5WHBZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:WZQEK237EW6V6QCXKHFUQ5WHBZ","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":"9b521cfec4414292c49a8569fa4ae2492befe3eaa296bdd0cd957635c3074f09","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-01-17T04:22:54Z","title_canon_sha256":"045f400b179300167772c969dbf93d3c6e6e0a44a971a95e7648d6417cbb4136"},"schema_version":"1.0","source":{"id":"2201.06206","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.06206","created_at":"2026-07-05T05:11:36Z"},{"alias_kind":"arxiv_version","alias_value":"2201.06206v3","created_at":"2026-07-05T05:11:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.06206","created_at":"2026-07-05T05:11:36Z"},{"alias_kind":"pith_short_12","alias_value":"WZQEK237EW6V","created_at":"2026-07-05T05:11:36Z"},{"alias_kind":"pith_short_16","alias_value":"WZQEK237EW6V6QCX","created_at":"2026-07-05T05:11:36Z"},{"alias_kind":"pith_short_8","alias_value":"WZQEK237","created_at":"2026-07-05T05:11:36Z"}],"graph_snapshots":[{"event_id":"sha256:631e938636e3c51c91eef7cafdbf0688f3c4025cdc87a47e6e594799f80a59ca","target":"graph","created_at":"2026-07-05T05:11:36Z","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/2201.06206/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-hop knowledge graph (KG) reasoning has been widely studied in recent years to provide interpretable predictions on missing links with evidential paths. Most previous works use reinforcement learning (RL) based methods that learn to navigate the path towards the target entity. However, these methods suffer from slow and poor convergence, and they may fail to infer a certain path when there is a missing edge along the path. Here we present SQUIRE, the first Sequence-to-sequence based multi-hop reasoning framework, which utilizes an encoder-decoder Transformer structure to translate the que","authors_text":"Feiyu Xiong, Juanzi Li, Lei Hou, Xin Lv, Yincen Qu, Yushi Bai, Zelin Dai","cross_cats":["cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-01-17T04:22:54Z","title":"SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.06206","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:cb7f9ba9368df9800598f9777187d6c386189087746ebf15926ffd1422c86311","target":"record","created_at":"2026-07-05T05:11:36Z","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":"9b521cfec4414292c49a8569fa4ae2492befe3eaa296bdd0cd957635c3074f09","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-01-17T04:22:54Z","title_canon_sha256":"045f400b179300167772c969dbf93d3c6e6e0a44a971a95e7648d6417cbb4136"},"schema_version":"1.0","source":{"id":"2201.06206","kind":"arxiv","version":3}},"canonical_sha256":"b660456b7f25bd5f405751cb4876c70e517ca06844a7f429c2c9db5c3a6ec0b5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b660456b7f25bd5f405751cb4876c70e517ca06844a7f429c2c9db5c3a6ec0b5","first_computed_at":"2026-07-05T05:11:36.468393Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:11:36.468393Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yaWkiAkCAKQoJlvoCemCfRQeew6bQG6Gkm+eVt8VMp5bMI9VLvGn8BKsouwYNvRR9abbpKc40f5ilYQAOpw3CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:11:36.468883Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.06206","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cb7f9ba9368df9800598f9777187d6c386189087746ebf15926ffd1422c86311","sha256:631e938636e3c51c91eef7cafdbf0688f3c4025cdc87a47e6e594799f80a59ca"],"state_sha256":"a6a7204514a993c8454cb4a129e6a25471ecd98bf49c310e4afa21e060c883ee"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+TyopjcoKyo35H66E9RGoPsy5f3w2aMOKqTDHHJVCyQ3Xo48Hkh2zcBONObIATCXBSDB/352u2QdBjaL61hjDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T18:27:15.746711Z","bundle_sha256":"3795693d982b1bd0542351152eeac63ff75fb9a8843333468cf24c421adb2fe6"}}