{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:C7AVXAQR3AGK7YBJ524AHRVFH5","short_pith_number":"pith:C7AVXAQR","canonical_record":{"source":{"id":"2307.10574","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2023-07-20T04:31:39Z","cross_cats_sorted":[],"title_canon_sha256":"72542f0cec69208abb04db15f4adbe82f45a5ad558cf2bef8dd7de22e3041b08","abstract_canon_sha256":"85505c3f68ac64ced4e79a5f02f20377c03541e7a1c63287fdd8b07044baf9b3"},"schema_version":"1.0"},"canonical_sha256":"17c15b8211d80cafe029eeb803c6a53f6957477d5c182d582fedc74d764c6a00","source":{"kind":"arxiv","id":"2307.10574","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.10574","created_at":"2026-07-05T06:41:50Z"},{"alias_kind":"arxiv_version","alias_value":"2307.10574v1","created_at":"2026-07-05T06:41:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.10574","created_at":"2026-07-05T06:41:50Z"},{"alias_kind":"pith_short_12","alias_value":"C7AVXAQR3AGK","created_at":"2026-07-05T06:41:50Z"},{"alias_kind":"pith_short_16","alias_value":"C7AVXAQR3AGK7YBJ","created_at":"2026-07-05T06:41:50Z"},{"alias_kind":"pith_short_8","alias_value":"C7AVXAQR","created_at":"2026-07-05T06:41:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:C7AVXAQR3AGK7YBJ524AHRVFH5","target":"record","payload":{"canonical_record":{"source":{"id":"2307.10574","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2023-07-20T04:31:39Z","cross_cats_sorted":[],"title_canon_sha256":"72542f0cec69208abb04db15f4adbe82f45a5ad558cf2bef8dd7de22e3041b08","abstract_canon_sha256":"85505c3f68ac64ced4e79a5f02f20377c03541e7a1c63287fdd8b07044baf9b3"},"schema_version":"1.0"},"canonical_sha256":"17c15b8211d80cafe029eeb803c6a53f6957477d5c182d582fedc74d764c6a00","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:41:50.515138Z","signature_b64":"sWOKM+LXVKnozNTliwfJ5iH8v6iZrLWCAHS333sr1kc8wYWjGefoQgKr/HqXPYB73VpfZw6UIsxtueBbrdk+Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"17c15b8211d80cafe029eeb803c6a53f6957477d5c182d582fedc74d764c6a00","last_reissued_at":"2026-07-05T06:41:50.514741Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:41:50.514741Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.10574","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:41:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uV6eiZGyhUYNWjnuzbftPczL5sA8bCMIQOkVQjMkOrFtlnQx/WTgPdYwEF1YPsgThYATnQcPpB0XskAqJTkoAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T16:32:32.321202Z"},"content_sha256":"2ed8ef82a29386f05eab2af6391923a50b71919e21b5a45824be1d4d57df9d83","schema_version":"1.0","event_id":"sha256:2ed8ef82a29386f05eab2af6391923a50b71919e21b5a45824be1d4d57df9d83"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:C7AVXAQR3AGK7YBJ524AHRVFH5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adaptive Control of Resource Flow to Optimize Construction Work and Cash Flow via Online Deep Reinforcement Learning","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Can Jiang, Jia-Rui Lin, Ming Liu, Xin Li, Zhiliang Ma","submitted_at":"2023-07-20T04:31:39Z","abstract_excerpt":"Due to complexity and dynamics of construction work, resource, and cash flows, poor management of them usually leads to time and cost overruns, bankruptcy, even project failure. Existing approaches in construction failed to achieve optimal control of resource flow in a dynamic environment with uncertainty. Therefore, this paper introducess a model and method to adaptive control the resource flows to optimize the work and cash flows of construction projects. First, a mathematical model based on a partially observable Markov decision process is established to formulate the complex interactions o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.10574","kind":"arxiv","version":1},"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/2307.10574/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":"2026-07-05T06:41:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lCyk+K0EVxNqOOTbdfgVkpK2SViHY4g2Gor5hbtWMv8E7MAjI5yZVeAwjwn36VWq8dWWORUhQSRaFb3J6fWNAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T16:32:32.321750Z"},"content_sha256":"e3cf1b5265265e3886013763c53b64ea4fa08fa4a04c11dbdad0da9199c7ac93","schema_version":"1.0","event_id":"sha256:e3cf1b5265265e3886013763c53b64ea4fa08fa4a04c11dbdad0da9199c7ac93"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C7AVXAQR3AGK7YBJ524AHRVFH5/bundle.json","state_url":"https://pith.science/pith/C7AVXAQR3AGK7YBJ524AHRVFH5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C7AVXAQR3AGK7YBJ524AHRVFH5/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":"2026-08-13T16:32:32Z","links":{"resolver":"https://pith.science/pith/C7AVXAQR3AGK7YBJ524AHRVFH5","bundle":"https://pith.science/pith/C7AVXAQR3AGK7YBJ524AHRVFH5/bundle.json","state":"https://pith.science/pith/C7AVXAQR3AGK7YBJ524AHRVFH5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C7AVXAQR3AGK7YBJ524AHRVFH5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:C7AVXAQR3AGK7YBJ524AHRVFH5","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":"85505c3f68ac64ced4e79a5f02f20377c03541e7a1c63287fdd8b07044baf9b3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2023-07-20T04:31:39Z","title_canon_sha256":"72542f0cec69208abb04db15f4adbe82f45a5ad558cf2bef8dd7de22e3041b08"},"schema_version":"1.0","source":{"id":"2307.10574","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.10574","created_at":"2026-07-05T06:41:50Z"},{"alias_kind":"arxiv_version","alias_value":"2307.10574v1","created_at":"2026-07-05T06:41:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.10574","created_at":"2026-07-05T06:41:50Z"},{"alias_kind":"pith_short_12","alias_value":"C7AVXAQR3AGK","created_at":"2026-07-05T06:41:50Z"},{"alias_kind":"pith_short_16","alias_value":"C7AVXAQR3AGK7YBJ","created_at":"2026-07-05T06:41:50Z"},{"alias_kind":"pith_short_8","alias_value":"C7AVXAQR","created_at":"2026-07-05T06:41:50Z"}],"graph_snapshots":[{"event_id":"sha256:e3cf1b5265265e3886013763c53b64ea4fa08fa4a04c11dbdad0da9199c7ac93","target":"graph","created_at":"2026-07-05T06:41:50Z","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/2307.10574/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Due to complexity and dynamics of construction work, resource, and cash flows, poor management of them usually leads to time and cost overruns, bankruptcy, even project failure. Existing approaches in construction failed to achieve optimal control of resource flow in a dynamic environment with uncertainty. Therefore, this paper introducess a model and method to adaptive control the resource flows to optimize the work and cash flows of construction projects. First, a mathematical model based on a partially observable Markov decision process is established to formulate the complex interactions o","authors_text":"Can Jiang, Jia-Rui Lin, Ming Liu, Xin Li, Zhiliang Ma","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2023-07-20T04:31:39Z","title":"Adaptive Control of Resource Flow to Optimize Construction Work and Cash Flow via Online Deep Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.10574","kind":"arxiv","version":1},"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":"sha256:2ed8ef82a29386f05eab2af6391923a50b71919e21b5a45824be1d4d57df9d83","target":"record","created_at":"2026-07-05T06:41:50Z","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":"85505c3f68ac64ced4e79a5f02f20377c03541e7a1c63287fdd8b07044baf9b3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2023-07-20T04:31:39Z","title_canon_sha256":"72542f0cec69208abb04db15f4adbe82f45a5ad558cf2bef8dd7de22e3041b08"},"schema_version":"1.0","source":{"id":"2307.10574","kind":"arxiv","version":1}},"canonical_sha256":"17c15b8211d80cafe029eeb803c6a53f6957477d5c182d582fedc74d764c6a00","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"17c15b8211d80cafe029eeb803c6a53f6957477d5c182d582fedc74d764c6a00","first_computed_at":"2026-07-05T06:41:50.514741Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:41:50.514741Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sWOKM+LXVKnozNTliwfJ5iH8v6iZrLWCAHS333sr1kc8wYWjGefoQgKr/HqXPYB73VpfZw6UIsxtueBbrdk+Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:41:50.515138Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.10574","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2ed8ef82a29386f05eab2af6391923a50b71919e21b5a45824be1d4d57df9d83","sha256:e3cf1b5265265e3886013763c53b64ea4fa08fa4a04c11dbdad0da9199c7ac93"],"state_sha256":"753413c803c7abeff9bf88e16ced6fbab9fa3cadac445fff5d02cfaccc83314a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KqhvOcL8qFAGmU4TXJcOcJDlShq8M2EGFUwX/JtfR0qiekuPeVhv63gSdIvJrmri/FzjJtt9S04jjxqRMkG1Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T16:32:32.330247Z","bundle_sha256":"235e8b5fec7a56f3378b1af0ff134249c972283d57237eb85a0fe926464a243c"}}