{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:C7D4RGWDPKHRPAWVP7PWCRVXPK","short_pith_number":"pith:C7D4RGWD","canonical_record":{"source":{"id":"2302.09465","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-02-19T03:19:40Z","cross_cats_sorted":[],"title_canon_sha256":"9e4dc5719666f0cea84d318e19e343b54cb7ff45a8215e237affa440a9dc3e4a","abstract_canon_sha256":"cbb8756b53e4f3d7c6fafb66a44da15f93b3fd5dc12676d7c6f6faea91cffe04"},"schema_version":"1.0"},"canonical_sha256":"17c7c89ac37a8f1782d57fdf6146b77a962239ec130f23f7f590f525f6c1afbc","source":{"kind":"arxiv","id":"2302.09465","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.09465","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"arxiv_version","alias_value":"2302.09465v3","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.09465","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"pith_short_12","alias_value":"C7D4RGWDPKHR","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"pith_short_16","alias_value":"C7D4RGWDPKHRPAWV","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"pith_short_8","alias_value":"C7D4RGWD","created_at":"2026-07-05T06:24:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:C7D4RGWDPKHRPAWVP7PWCRVXPK","target":"record","payload":{"canonical_record":{"source":{"id":"2302.09465","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-02-19T03:19:40Z","cross_cats_sorted":[],"title_canon_sha256":"9e4dc5719666f0cea84d318e19e343b54cb7ff45a8215e237affa440a9dc3e4a","abstract_canon_sha256":"cbb8756b53e4f3d7c6fafb66a44da15f93b3fd5dc12676d7c6f6faea91cffe04"},"schema_version":"1.0"},"canonical_sha256":"17c7c89ac37a8f1782d57fdf6146b77a962239ec130f23f7f590f525f6c1afbc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:24:11.496085Z","signature_b64":"9ENWFG8gyHS6IOprSMtzBmd2uUh2K5FT+gRtH0DYfHppP8i0B0WTQlfKAj6C0wp4qZO/hhhq4e4JKoG3fn29BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"17c7c89ac37a8f1782d57fdf6146b77a962239ec130f23f7f590f525f6c1afbc","last_reissued_at":"2026-07-05T06:24:11.495681Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:24:11.495681Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2302.09465","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":"2026-07-05T06:24:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bBAfmwBacNSQ/JoMXX9mSlY2ZFvznk25owWzEgTGFnKUrV3AdAjsus0JBtSa5Ceap/K0BryW1PKk9cSAuFvsBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T09:42:30.130120Z"},"content_sha256":"d50d881555af0fe2c0d6c120717a46fd15401d85c1e2ddf2d7e5ed404efddee9","schema_version":"1.0","event_id":"sha256:d50d881555af0fe2c0d6c120717a46fd15401d85c1e2ddf2d7e5ed404efddee9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:C7D4RGWDPKHRPAWVP7PWCRVXPK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Stochastic Generative Flow Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Dinghuai Zhang, Ling Pan, Longbo Huang, Moksh Jain, Yoshua Bengio","submitted_at":"2023-02-19T03:19:40Z","abstract_excerpt":"Generative Flow Networks (or GFlowNets for short) are a family of probabilistic agents that learn to sample complex combinatorial structures through the lens of \"inference as control\". They have shown great potential in generating high-quality and diverse candidates from a given energy landscape. However, existing GFlowNets can be applied only to deterministic environments, and fail in more general tasks with stochastic dynamics, which can limit their applicability. To overcome this challenge, this paper introduces Stochastic GFlowNets, a new algorithm that extends GFlowNets to stochastic envi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.09465","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/2302.09465/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":"2026-07-05T06:24:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0wVr6BZFhMomKYs/p/OCD/4ffnI0ZF1XSUbSe/gXaAXjdWj02Cy2TKlBpAR6SMrr2W7honEXSvZr7PrD0kZxCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T09:42:30.136629Z"},"content_sha256":"55c1dbc721d13df02cf6648f6fc961c6a04cb076d50cdd564530f7c8f757825f","schema_version":"1.0","event_id":"sha256:55c1dbc721d13df02cf6648f6fc961c6a04cb076d50cdd564530f7c8f757825f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C7D4RGWDPKHRPAWVP7PWCRVXPK/bundle.json","state_url":"https://pith.science/pith/C7D4RGWDPKHRPAWVP7PWCRVXPK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C7D4RGWDPKHRPAWVP7PWCRVXPK/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":"2026-08-16T09:42:30Z","links":{"resolver":"https://pith.science/pith/C7D4RGWDPKHRPAWVP7PWCRVXPK","bundle":"https://pith.science/pith/C7D4RGWDPKHRPAWVP7PWCRVXPK/bundle.json","state":"https://pith.science/pith/C7D4RGWDPKHRPAWVP7PWCRVXPK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C7D4RGWDPKHRPAWVP7PWCRVXPK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:C7D4RGWDPKHRPAWVP7PWCRVXPK","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":"cbb8756b53e4f3d7c6fafb66a44da15f93b3fd5dc12676d7c6f6faea91cffe04","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-02-19T03:19:40Z","title_canon_sha256":"9e4dc5719666f0cea84d318e19e343b54cb7ff45a8215e237affa440a9dc3e4a"},"schema_version":"1.0","source":{"id":"2302.09465","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.09465","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"arxiv_version","alias_value":"2302.09465v3","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.09465","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"pith_short_12","alias_value":"C7D4RGWDPKHR","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"pith_short_16","alias_value":"C7D4RGWDPKHRPAWV","created_at":"2026-07-05T06:24:11Z"},{"alias_kind":"pith_short_8","alias_value":"C7D4RGWD","created_at":"2026-07-05T06:24:11Z"}],"graph_snapshots":[{"event_id":"sha256:55c1dbc721d13df02cf6648f6fc961c6a04cb076d50cdd564530f7c8f757825f","target":"graph","created_at":"2026-07-05T06:24:11Z","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/2302.09465/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative Flow Networks (or GFlowNets for short) are a family of probabilistic agents that learn to sample complex combinatorial structures through the lens of \"inference as control\". They have shown great potential in generating high-quality and diverse candidates from a given energy landscape. However, existing GFlowNets can be applied only to deterministic environments, and fail in more general tasks with stochastic dynamics, which can limit their applicability. To overcome this challenge, this paper introduces Stochastic GFlowNets, a new algorithm that extends GFlowNets to stochastic envi","authors_text":"Dinghuai Zhang, Ling Pan, Longbo Huang, Moksh Jain, Yoshua Bengio","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-02-19T03:19:40Z","title":"Stochastic Generative Flow Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.09465","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:d50d881555af0fe2c0d6c120717a46fd15401d85c1e2ddf2d7e5ed404efddee9","target":"record","created_at":"2026-07-05T06:24:11Z","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":"cbb8756b53e4f3d7c6fafb66a44da15f93b3fd5dc12676d7c6f6faea91cffe04","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-02-19T03:19:40Z","title_canon_sha256":"9e4dc5719666f0cea84d318e19e343b54cb7ff45a8215e237affa440a9dc3e4a"},"schema_version":"1.0","source":{"id":"2302.09465","kind":"arxiv","version":3}},"canonical_sha256":"17c7c89ac37a8f1782d57fdf6146b77a962239ec130f23f7f590f525f6c1afbc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"17c7c89ac37a8f1782d57fdf6146b77a962239ec130f23f7f590f525f6c1afbc","first_computed_at":"2026-07-05T06:24:11.495681Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:24:11.495681Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9ENWFG8gyHS6IOprSMtzBmd2uUh2K5FT+gRtH0DYfHppP8i0B0WTQlfKAj6C0wp4qZO/hhhq4e4JKoG3fn29BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:24:11.496085Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.09465","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d50d881555af0fe2c0d6c120717a46fd15401d85c1e2ddf2d7e5ed404efddee9","sha256:55c1dbc721d13df02cf6648f6fc961c6a04cb076d50cdd564530f7c8f757825f"],"state_sha256":"0a352027bb62c65116eb5e83310a3c4b577ed38da6f22f253035238da2731f8b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1UdRXoS1bStkcd9YcIOpHHUP002NXqJbLF4cL0KKkm1IJGg4HUTMLA/LAV3hvpOyEIuWk9aAJcqThss5FVnqBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T09:42:30.147140Z","bundle_sha256":"baba5fd2405c983433b5b4b4adc2e593f3947d293a9cceb5ea463b3a296ad9ac"}}