{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:EETSVRB74ZM6JB6YWKMYBKVMFV","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":"4866cca4c99fc332db2d79db6f222108aee5cd81f358e31e9fc82edc6146f285","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-07-25T10:06:24Z","title_canon_sha256":"671fe8e892f5a6d1277e689265aef3231d43ec2b4913397c9ab7e138164f5731"},"schema_version":"1.0","source":{"id":"1807.09511","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.09511","created_at":"2026-05-17T23:56:47Z"},{"alias_kind":"arxiv_version","alias_value":"1807.09511v2","created_at":"2026-05-17T23:56:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.09511","created_at":"2026-05-17T23:56:47Z"},{"alias_kind":"pith_short_12","alias_value":"EETSVRB74ZM6","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"EETSVRB74ZM6JB6Y","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"EETSVRB7","created_at":"2026-05-18T12:32:22Z"}],"graph_snapshots":[{"event_id":"sha256:c56f43367360798f333cd9777d62f7b514a5ebc77e7ba74b3751a536218aeb4d","target":"graph","created_at":"2026-05-17T23:56:47Z","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"},"paper":{"abstract_excerpt":"In real-world scenarios, it is appealing to learn a model carrying out stochastic operations internally, known as stochastic computation graphs (SCGs), rather than learning a deterministic mapping. However, standard backpropagation is not applicable to SCGs. We attempt to address this issue from the angle of cost propagation, with local surrogate costs, called Q-functions, constructed and learned for each stochastic node in an SCG. Then, the SCG can be trained based on these surrogate costs using standard backpropagation. We propose the entire framework as a solution to generalize backpropagat","authors_text":"Hanning Zhou, Songpeng Zu, Wei Feng, Xiaoran Xu, Yuan Zhang","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-07-25T10:06:24Z","title":"Backprop-Q: Generalized Backpropagation for Stochastic Computation Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.09511","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:f12a1139ec78c0ef50b32cfeb8997bdd5472aec5fcc642bcb7baba0dfcc024a5","target":"record","created_at":"2026-05-17T23:56:47Z","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":"4866cca4c99fc332db2d79db6f222108aee5cd81f358e31e9fc82edc6146f285","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-07-25T10:06:24Z","title_canon_sha256":"671fe8e892f5a6d1277e689265aef3231d43ec2b4913397c9ab7e138164f5731"},"schema_version":"1.0","source":{"id":"1807.09511","kind":"arxiv","version":2}},"canonical_sha256":"21272ac43fe659e487d8b29980aaac2d4970a4c551f33b50cfde422f64df0f60","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"21272ac43fe659e487d8b29980aaac2d4970a4c551f33b50cfde422f64df0f60","first_computed_at":"2026-05-17T23:56:47.590623Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:56:47.590623Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+/ovLhYh7UXxmOz5ToUbrhn/srdu71Yxy2ceYUseLGyBimTwnLyEJYfZSzDTaVywum+OXrDJWXAq81EgwbVDAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:56:47.591004Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.09511","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f12a1139ec78c0ef50b32cfeb8997bdd5472aec5fcc642bcb7baba0dfcc024a5","sha256:c56f43367360798f333cd9777d62f7b514a5ebc77e7ba74b3751a536218aeb4d"],"state_sha256":"49d852e2759b287732d5ad4952fe9adfcd39615868598bc08711a0befea0c336"}