{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:O6ODUSGJQWNSZM72EWHHMPSGFD","short_pith_number":"pith:O6ODUSGJ","canonical_record":{"source":{"id":"1610.07647","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-10-24T20:48:04Z","cross_cats_sorted":["cs.NE","stat.ML"],"title_canon_sha256":"c5dd2ed41d8d57e240b723ea64f3e8763d5bce4596cfadb33eb5ec31824da302","abstract_canon_sha256":"fff8589bebafebfc4644802371fea9a975ee99b093f60d3d486aa1895c0a12ae"},"schema_version":"1.0"},"canonical_sha256":"779c3a48c9859b2cb3fa258e763e4628ffc9b59bc3f7d3c211d5a2ec85c96480","source":{"kind":"arxiv","id":"1610.07647","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.07647","created_at":"2026-05-18T00:58:28Z"},{"alias_kind":"arxiv_version","alias_value":"1610.07647v2","created_at":"2026-05-18T00:58:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.07647","created_at":"2026-05-18T00:58:28Z"},{"alias_kind":"pith_short_12","alias_value":"O6ODUSGJQWNS","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_16","alias_value":"O6ODUSGJQWNSZM72","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_8","alias_value":"O6ODUSGJ","created_at":"2026-05-18T12:30:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:O6ODUSGJQWNSZM72EWHHMPSGFD","target":"record","payload":{"canonical_record":{"source":{"id":"1610.07647","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-10-24T20:48:04Z","cross_cats_sorted":["cs.NE","stat.ML"],"title_canon_sha256":"c5dd2ed41d8d57e240b723ea64f3e8763d5bce4596cfadb33eb5ec31824da302","abstract_canon_sha256":"fff8589bebafebfc4644802371fea9a975ee99b093f60d3d486aa1895c0a12ae"},"schema_version":"1.0"},"canonical_sha256":"779c3a48c9859b2cb3fa258e763e4628ffc9b59bc3f7d3c211d5a2ec85c96480","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:58:28.252167Z","signature_b64":"fOf6CWIi9pZWG5k9GxkTbb7+dk93Fc9YJeLUGxrI1BSO9FmqZPI1kPj7e0PBpDJYuecK63EMlCX8b9QAHpnuCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"779c3a48c9859b2cb3fa258e763e4628ffc9b59bc3f7d3c211d5a2ec85c96480","last_reissued_at":"2026-05-18T00:58:28.251583Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:58:28.251583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1610.07647","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":"2026-05-18T00:58:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vy2VIqUwY1UsztqPySwgR5vJGdpF05+xghizbBpgRzLPZYvvkG9tjuBJ8EK8wd9inIb+LB2KtrfKK58W/5aXCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:26:34.267917Z"},"content_sha256":"b1a7b9dab0bb85e52f163bd94d5ddb46e771dd5af598ffdbc799dc20a20a41d4","schema_version":"1.0","event_id":"sha256:b1a7b9dab0bb85e52f163bd94d5ddb46e771dd5af598ffdbc799dc20a20a41d4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:O6ODUSGJQWNSZM72EWHHMPSGFD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning to Reason With Adaptive Computation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE","stat.ML"],"primary_cat":"cs.CL","authors_text":"Mark Neumann, Pontus Stenetorp, Sebastian Riedel","submitted_at":"2016-10-24T20:48:04Z","abstract_excerpt":"Multi-hop inference is necessary for machine learning systems to successfully solve tasks such as Recognising Textual Entailment and Machine Reading. In this work, we demonstrate the effectiveness of adaptive computation for learning the number of inference steps required for examples of different complexity and that learning the correct number of inference steps is difficult. We introduce the first model involving Adaptive Computation Time which provides a small performance benefit on top of a similar model without an adaptive component as well as enabling considerable insight into the reason"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.07647","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":"2026-05-18T00:58:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H43lxCDcDad11MhgayFgfssODYuoNrHw3zZoQOiOEZRnlJ5XPjHlskB1teOEMmo3LIqbqLQL9z+iY/MseuU1DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:26:34.268488Z"},"content_sha256":"777a2dd5d0e70f73c38f239d6c136be932600726ff368589f3a5afa73e02f9ab","schema_version":"1.0","event_id":"sha256:777a2dd5d0e70f73c38f239d6c136be932600726ff368589f3a5afa73e02f9ab"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O6ODUSGJQWNSZM72EWHHMPSGFD/bundle.json","state_url":"https://pith.science/pith/O6ODUSGJQWNSZM72EWHHMPSGFD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O6ODUSGJQWNSZM72EWHHMPSGFD/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":"2026-05-25T21:26:34Z","links":{"resolver":"https://pith.science/pith/O6ODUSGJQWNSZM72EWHHMPSGFD","bundle":"https://pith.science/pith/O6ODUSGJQWNSZM72EWHHMPSGFD/bundle.json","state":"https://pith.science/pith/O6ODUSGJQWNSZM72EWHHMPSGFD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O6ODUSGJQWNSZM72EWHHMPSGFD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:O6ODUSGJQWNSZM72EWHHMPSGFD","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":"fff8589bebafebfc4644802371fea9a975ee99b093f60d3d486aa1895c0a12ae","cross_cats_sorted":["cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-10-24T20:48:04Z","title_canon_sha256":"c5dd2ed41d8d57e240b723ea64f3e8763d5bce4596cfadb33eb5ec31824da302"},"schema_version":"1.0","source":{"id":"1610.07647","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.07647","created_at":"2026-05-18T00:58:28Z"},{"alias_kind":"arxiv_version","alias_value":"1610.07647v2","created_at":"2026-05-18T00:58:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.07647","created_at":"2026-05-18T00:58:28Z"},{"alias_kind":"pith_short_12","alias_value":"O6ODUSGJQWNS","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_16","alias_value":"O6ODUSGJQWNSZM72","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_8","alias_value":"O6ODUSGJ","created_at":"2026-05-18T12:30:36Z"}],"graph_snapshots":[{"event_id":"sha256:777a2dd5d0e70f73c38f239d6c136be932600726ff368589f3a5afa73e02f9ab","target":"graph","created_at":"2026-05-18T00:58:28Z","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":"Multi-hop inference is necessary for machine learning systems to successfully solve tasks such as Recognising Textual Entailment and Machine Reading. In this work, we demonstrate the effectiveness of adaptive computation for learning the number of inference steps required for examples of different complexity and that learning the correct number of inference steps is difficult. We introduce the first model involving Adaptive Computation Time which provides a small performance benefit on top of a similar model without an adaptive component as well as enabling considerable insight into the reason","authors_text":"Mark Neumann, Pontus Stenetorp, Sebastian Riedel","cross_cats":["cs.NE","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-10-24T20:48:04Z","title":"Learning to Reason With Adaptive Computation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.07647","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:b1a7b9dab0bb85e52f163bd94d5ddb46e771dd5af598ffdbc799dc20a20a41d4","target":"record","created_at":"2026-05-18T00:58:28Z","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":"fff8589bebafebfc4644802371fea9a975ee99b093f60d3d486aa1895c0a12ae","cross_cats_sorted":["cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-10-24T20:48:04Z","title_canon_sha256":"c5dd2ed41d8d57e240b723ea64f3e8763d5bce4596cfadb33eb5ec31824da302"},"schema_version":"1.0","source":{"id":"1610.07647","kind":"arxiv","version":2}},"canonical_sha256":"779c3a48c9859b2cb3fa258e763e4628ffc9b59bc3f7d3c211d5a2ec85c96480","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"779c3a48c9859b2cb3fa258e763e4628ffc9b59bc3f7d3c211d5a2ec85c96480","first_computed_at":"2026-05-18T00:58:28.251583Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:58:28.251583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fOf6CWIi9pZWG5k9GxkTbb7+dk93Fc9YJeLUGxrI1BSO9FmqZPI1kPj7e0PBpDJYuecK63EMlCX8b9QAHpnuCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:58:28.252167Z","signed_message":"canonical_sha256_bytes"},"source_id":"1610.07647","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b1a7b9dab0bb85e52f163bd94d5ddb46e771dd5af598ffdbc799dc20a20a41d4","sha256:777a2dd5d0e70f73c38f239d6c136be932600726ff368589f3a5afa73e02f9ab"],"state_sha256":"82800bbf815964e768cf9cb091660438f387e8512f0cf7759f669784e4607522"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LmYI8W4wdmpjNIdTrPBDSdLKOn+bnvube6mDh0gDll6/7qU6upt2zVNNAM0yJ1OZXUVaOwmpoBPUAQvvqf+HBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T21:26:34.272033Z","bundle_sha256":"47601a7eaaa18b4e7c838018028a4d179a99c9c60e7d41f179ee433bb2e63d4a"}}