{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:CIJVWONFG7FGAW3H4X6EK5WK3A","short_pith_number":"pith:CIJVWONF","canonical_record":{"source":{"id":"1706.07179","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-22T06:59:07Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"651a401db9963aec025ff549d42803a59fcaab57ea2d9b2629d80467639a84c6","abstract_canon_sha256":"128f12f2f3011c30817ac4729acae4a8b2ca6fd2a6e0b5f0bdc80c6e61295d70"},"schema_version":"1.0"},"canonical_sha256":"12135b39a537ca605b67e5fc4576cad81dca3ccc7eb6392e644128b0cd30f06c","source":{"kind":"arxiv","id":"1706.07179","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.07179","created_at":"2026-05-18T00:30:28Z"},{"alias_kind":"arxiv_version","alias_value":"1706.07179v2","created_at":"2026-05-18T00:30:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.07179","created_at":"2026-05-18T00:30:28Z"},{"alias_kind":"pith_short_12","alias_value":"CIJVWONFG7FG","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"CIJVWONFG7FGAW3H","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"CIJVWONF","created_at":"2026-05-18T12:31:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:CIJVWONFG7FGAW3H4X6EK5WK3A","target":"record","payload":{"canonical_record":{"source":{"id":"1706.07179","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-22T06:59:07Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"651a401db9963aec025ff549d42803a59fcaab57ea2d9b2629d80467639a84c6","abstract_canon_sha256":"128f12f2f3011c30817ac4729acae4a8b2ca6fd2a6e0b5f0bdc80c6e61295d70"},"schema_version":"1.0"},"canonical_sha256":"12135b39a537ca605b67e5fc4576cad81dca3ccc7eb6392e644128b0cd30f06c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:30:28.084123Z","signature_b64":"CRKPGC1lFNTbntvu4dIc8fmMifZVW5dA/8KAc9JKU4w/i9R3iuTXUWA8QJu8VJrBfLj0iqfpef/J7bHJaOzXCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"12135b39a537ca605b67e5fc4576cad81dca3ccc7eb6392e644128b0cd30f06c","last_reissued_at":"2026-05-18T00:30:28.083434Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:30:28.083434Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.07179","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":"2026-05-18T00:30:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TzR2UzVPrXCO1j/0+fczA4PyvLYTWKXcHrGl8DP3c1Xh+xK/SvKtFdZ5CTtjMK9b94JfL72bo7NqAr6hnYPlBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T13:40:01.520852Z"},"content_sha256":"5b70fbc87a7b3215f525193c2c9752b6b3967efd743fb7796f54833cccb2a1ea","schema_version":"1.0","event_id":"sha256:5b70fbc87a7b3215f525193c2c9752b6b3967efd743fb7796f54833cccb2a1ea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:CIJVWONFG7FGAW3H4X6EK5WK3A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RelNet: End-to-End Modeling of Entities & Relations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Andrew McCallum, Arvind Neelakantan, Trapit Bansal","submitted_at":"2017-06-22T06:59:07Z","abstract_excerpt":"We introduce RelNet: a new model for relational reasoning. RelNet is a memory augmented neural network which models entities as abstract memory slots and is equipped with an additional relational memory which models relations between all memory pairs. The model thus builds an abstract knowledge graph on the entities and relations present in a document which can then be used to answer questions about the document. It is trained end-to-end: only supervision to the model is in the form of correct answers to the questions. We test the model on the 20 bAbI question-answering tasks with 10k examples"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.07179","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":"2026-05-18T00:30:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"08m/Cpajt+TGtgX3+nBFC4xwQRlF6E38+dSFeG061/84ypZe19Gml3B+ptiL451T95Fs4mbZb/Px+L6RIzxICA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T13:40:01.521407Z"},"content_sha256":"4c4c1586fb2f09233f8cc12d7c8e16dc342738e3a4657c56e563600ddb009ccc","schema_version":"1.0","event_id":"sha256:4c4c1586fb2f09233f8cc12d7c8e16dc342738e3a4657c56e563600ddb009ccc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CIJVWONFG7FGAW3H4X6EK5WK3A/bundle.json","state_url":"https://pith.science/pith/CIJVWONFG7FGAW3H4X6EK5WK3A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CIJVWONFG7FGAW3H4X6EK5WK3A/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":"2026-05-31T13:40:01Z","links":{"resolver":"https://pith.science/pith/CIJVWONFG7FGAW3H4X6EK5WK3A","bundle":"https://pith.science/pith/CIJVWONFG7FGAW3H4X6EK5WK3A/bundle.json","state":"https://pith.science/pith/CIJVWONFG7FGAW3H4X6EK5WK3A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CIJVWONFG7FGAW3H4X6EK5WK3A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:CIJVWONFG7FGAW3H4X6EK5WK3A","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":"128f12f2f3011c30817ac4729acae4a8b2ca6fd2a6e0b5f0bdc80c6e61295d70","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-22T06:59:07Z","title_canon_sha256":"651a401db9963aec025ff549d42803a59fcaab57ea2d9b2629d80467639a84c6"},"schema_version":"1.0","source":{"id":"1706.07179","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.07179","created_at":"2026-05-18T00:30:28Z"},{"alias_kind":"arxiv_version","alias_value":"1706.07179v2","created_at":"2026-05-18T00:30:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.07179","created_at":"2026-05-18T00:30:28Z"},{"alias_kind":"pith_short_12","alias_value":"CIJVWONFG7FG","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"CIJVWONFG7FGAW3H","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"CIJVWONF","created_at":"2026-05-18T12:31:10Z"}],"graph_snapshots":[{"event_id":"sha256:4c4c1586fb2f09233f8cc12d7c8e16dc342738e3a4657c56e563600ddb009ccc","target":"graph","created_at":"2026-05-18T00:30:28Z","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":"We introduce RelNet: a new model for relational reasoning. RelNet is a memory augmented neural network which models entities as abstract memory slots and is equipped with an additional relational memory which models relations between all memory pairs. The model thus builds an abstract knowledge graph on the entities and relations present in a document which can then be used to answer questions about the document. It is trained end-to-end: only supervision to the model is in the form of correct answers to the questions. We test the model on the 20 bAbI question-answering tasks with 10k examples","authors_text":"Andrew McCallum, Arvind Neelakantan, Trapit Bansal","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-22T06:59:07Z","title":"RelNet: End-to-End Modeling of Entities & Relations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.07179","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":"sha256:5b70fbc87a7b3215f525193c2c9752b6b3967efd743fb7796f54833cccb2a1ea","target":"record","created_at":"2026-05-18T00:30:28Z","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":"128f12f2f3011c30817ac4729acae4a8b2ca6fd2a6e0b5f0bdc80c6e61295d70","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-22T06:59:07Z","title_canon_sha256":"651a401db9963aec025ff549d42803a59fcaab57ea2d9b2629d80467639a84c6"},"schema_version":"1.0","source":{"id":"1706.07179","kind":"arxiv","version":2}},"canonical_sha256":"12135b39a537ca605b67e5fc4576cad81dca3ccc7eb6392e644128b0cd30f06c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"12135b39a537ca605b67e5fc4576cad81dca3ccc7eb6392e644128b0cd30f06c","first_computed_at":"2026-05-18T00:30:28.083434Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:30:28.083434Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CRKPGC1lFNTbntvu4dIc8fmMifZVW5dA/8KAc9JKU4w/i9R3iuTXUWA8QJu8VJrBfLj0iqfpef/J7bHJaOzXCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:30:28.084123Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.07179","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5b70fbc87a7b3215f525193c2c9752b6b3967efd743fb7796f54833cccb2a1ea","sha256:4c4c1586fb2f09233f8cc12d7c8e16dc342738e3a4657c56e563600ddb009ccc"],"state_sha256":"a44d7b264f80748c02e97039803d25690a893d6c83a2622970be50e787e4e0df"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Yo0j38kyYEOykniqgxFsTyDTEt10A4gk8ALIbQWu9Ygg8oTqeJwzEahkVWdiiFHS5qifcAb51cftgASs6/20Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T13:40:01.526642Z","bundle_sha256":"8a38635f25d18a98c18d4927162daf97cc58e6fa615dc5c3e4dedd1df95a137e"}}