{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:4KDHDHFP43UKJ5KW464DCQVBHT","short_pith_number":"pith:4KDHDHFP","canonical_record":{"source":{"id":"2010.02673","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.GN","submitted_at":"2020-10-06T12:44:43Z","cross_cats_sorted":["q-fin.EC"],"title_canon_sha256":"0c1423ae1f8e7803769204146e88d2346b7f3b75427f6dfcc6bb13bddeb75caf","abstract_canon_sha256":"49c0fe26c65591d2dfd62e6744aa42a5960d84060d3a8c2e9d95ffe2ac702149"},"schema_version":"1.0"},"canonical_sha256":"e286719cafe6e8a4f556e7b83142a13cc7b693ad81a2251facfecf8e54883b26","source":{"kind":"arxiv","id":"2010.02673","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.02673","created_at":"2026-07-05T01:40:52Z"},{"alias_kind":"arxiv_version","alias_value":"2010.02673v1","created_at":"2026-07-05T01:40:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.02673","created_at":"2026-07-05T01:40:52Z"},{"alias_kind":"pith_short_12","alias_value":"4KDHDHFP43UK","created_at":"2026-07-05T01:40:52Z"},{"alias_kind":"pith_short_16","alias_value":"4KDHDHFP43UKJ5KW","created_at":"2026-07-05T01:40:52Z"},{"alias_kind":"pith_short_8","alias_value":"4KDHDHFP","created_at":"2026-07-05T01:40:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:4KDHDHFP43UKJ5KW464DCQVBHT","target":"record","payload":{"canonical_record":{"source":{"id":"2010.02673","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.GN","submitted_at":"2020-10-06T12:44:43Z","cross_cats_sorted":["q-fin.EC"],"title_canon_sha256":"0c1423ae1f8e7803769204146e88d2346b7f3b75427f6dfcc6bb13bddeb75caf","abstract_canon_sha256":"49c0fe26c65591d2dfd62e6744aa42a5960d84060d3a8c2e9d95ffe2ac702149"},"schema_version":"1.0"},"canonical_sha256":"e286719cafe6e8a4f556e7b83142a13cc7b693ad81a2251facfecf8e54883b26","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:40:52.726236Z","signature_b64":"y6TDPB06/wXmn72GJ5jxdHIbX8jk/zpUJKEQlhKm8NbUhh5FHgSEBFrXvlUX8R5R4rnv0/7mpKDdntDSIflxCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e286719cafe6e8a4f556e7b83142a13cc7b693ad81a2251facfecf8e54883b26","last_reissued_at":"2026-07-05T01:40:52.725774Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:40:52.725774Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.02673","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":"2026-07-05T01:40:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gLPZ9dn4zoBgednboNO3OWi19Pohw4cz6HWZdB5A8WCXNUneg6JgtzEL7pbeViBWK/sivjoNJ1TgLHDtx/7rCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T02:05:51.591512Z"},"content_sha256":"6e061c3e986cc4f5d336a5fb83a8e80f373f2c65a3bab1eb694cbd3f887d7dd9","schema_version":"1.0","event_id":"sha256:6e061c3e986cc4f5d336a5fb83a8e80f373f2c65a3bab1eb694cbd3f887d7dd9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:4KDHDHFP43UKJ5KW464DCQVBHT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Modelling Temperature Variation of Mushroom Growing Hall Using Artificial Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-fin.EC"],"primary_cat":"econ.GN","authors_text":"Amir Mosavi, Annamaria R. Varkonyi-Koczy, Asghar Mahmoudi, Saeed Nosratabadi, Sina Ardabili, Tarahom Mesri Gundoshmian","submitted_at":"2020-10-06T12:44:43Z","abstract_excerpt":"The recent developments of computer and electronic systems have made the use of intelligent systems for the automation of agricultural industries. In this study, the temperature variation of the mushroom growing room was modeled by multi-layered perceptron and radial basis function networks based on independent parameters including ambient temperature, water temperature, fresh air and circulation air dampers, and water tap. According to the obtained results from the networks, the best network for MLP was in the second repetition with 12 neurons in the hidden layer and in 20 neurons in the hidd"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.02673","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/2010.02673/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":"2026-07-05T01:40:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CYyevanw/WhW+/JfSAy3R8iFV/YIkG63iuIzTxkZyBG4QVsgwn2B37WPalTFXcXUdVRscI0fPzLIA9BwCXCpCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T02:05:51.592002Z"},"content_sha256":"fdc1a18b094bb4257c9dbc5977d0e51378e266d0093b6d17d93121e6aeb277bb","schema_version":"1.0","event_id":"sha256:fdc1a18b094bb4257c9dbc5977d0e51378e266d0093b6d17d93121e6aeb277bb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4KDHDHFP43UKJ5KW464DCQVBHT/bundle.json","state_url":"https://pith.science/pith/4KDHDHFP43UKJ5KW464DCQVBHT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4KDHDHFP43UKJ5KW464DCQVBHT/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":"2026-07-09T02:05:51Z","links":{"resolver":"https://pith.science/pith/4KDHDHFP43UKJ5KW464DCQVBHT","bundle":"https://pith.science/pith/4KDHDHFP43UKJ5KW464DCQVBHT/bundle.json","state":"https://pith.science/pith/4KDHDHFP43UKJ5KW464DCQVBHT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4KDHDHFP43UKJ5KW464DCQVBHT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:4KDHDHFP43UKJ5KW464DCQVBHT","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":"49c0fe26c65591d2dfd62e6744aa42a5960d84060d3a8c2e9d95ffe2ac702149","cross_cats_sorted":["q-fin.EC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.GN","submitted_at":"2020-10-06T12:44:43Z","title_canon_sha256":"0c1423ae1f8e7803769204146e88d2346b7f3b75427f6dfcc6bb13bddeb75caf"},"schema_version":"1.0","source":{"id":"2010.02673","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.02673","created_at":"2026-07-05T01:40:52Z"},{"alias_kind":"arxiv_version","alias_value":"2010.02673v1","created_at":"2026-07-05T01:40:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.02673","created_at":"2026-07-05T01:40:52Z"},{"alias_kind":"pith_short_12","alias_value":"4KDHDHFP43UK","created_at":"2026-07-05T01:40:52Z"},{"alias_kind":"pith_short_16","alias_value":"4KDHDHFP43UKJ5KW","created_at":"2026-07-05T01:40:52Z"},{"alias_kind":"pith_short_8","alias_value":"4KDHDHFP","created_at":"2026-07-05T01:40:52Z"}],"graph_snapshots":[{"event_id":"sha256:fdc1a18b094bb4257c9dbc5977d0e51378e266d0093b6d17d93121e6aeb277bb","target":"graph","created_at":"2026-07-05T01:40:52Z","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/2010.02673/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The recent developments of computer and electronic systems have made the use of intelligent systems for the automation of agricultural industries. In this study, the temperature variation of the mushroom growing room was modeled by multi-layered perceptron and radial basis function networks based on independent parameters including ambient temperature, water temperature, fresh air and circulation air dampers, and water tap. According to the obtained results from the networks, the best network for MLP was in the second repetition with 12 neurons in the hidden layer and in 20 neurons in the hidd","authors_text":"Amir Mosavi, Annamaria R. Varkonyi-Koczy, Asghar Mahmoudi, Saeed Nosratabadi, Sina Ardabili, Tarahom Mesri Gundoshmian","cross_cats":["q-fin.EC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.GN","submitted_at":"2020-10-06T12:44:43Z","title":"Modelling Temperature Variation of Mushroom Growing Hall Using Artificial Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.02673","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":"sha256:6e061c3e986cc4f5d336a5fb83a8e80f373f2c65a3bab1eb694cbd3f887d7dd9","target":"record","created_at":"2026-07-05T01:40:52Z","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":"49c0fe26c65591d2dfd62e6744aa42a5960d84060d3a8c2e9d95ffe2ac702149","cross_cats_sorted":["q-fin.EC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.GN","submitted_at":"2020-10-06T12:44:43Z","title_canon_sha256":"0c1423ae1f8e7803769204146e88d2346b7f3b75427f6dfcc6bb13bddeb75caf"},"schema_version":"1.0","source":{"id":"2010.02673","kind":"arxiv","version":1}},"canonical_sha256":"e286719cafe6e8a4f556e7b83142a13cc7b693ad81a2251facfecf8e54883b26","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e286719cafe6e8a4f556e7b83142a13cc7b693ad81a2251facfecf8e54883b26","first_computed_at":"2026-07-05T01:40:52.725774Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:40:52.725774Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y6TDPB06/wXmn72GJ5jxdHIbX8jk/zpUJKEQlhKm8NbUhh5FHgSEBFrXvlUX8R5R4rnv0/7mpKDdntDSIflxCA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:40:52.726236Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.02673","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6e061c3e986cc4f5d336a5fb83a8e80f373f2c65a3bab1eb694cbd3f887d7dd9","sha256:fdc1a18b094bb4257c9dbc5977d0e51378e266d0093b6d17d93121e6aeb277bb"],"state_sha256":"41b781cf6b0d8d5b583471f8be13e82948e2a9fb33459e6411533a26090f4487"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H58V8ZNhFGfQQy+1MjLap1toRjf8gT6Znzutcn4pitrbwr+7Ouxlvjk/aF72htl6oXzzA0u4cU4QXZv0myIzBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T02:05:51.594186Z","bundle_sha256":"f40de19ef0428541aa5b0c9263b3798753dbf7836ff9585367046603fea49d7d"}}