{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:J65Q5ADO4SO2X7OVUJQX2N35DQ","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":"4cb95bcf9138be2594033bf90bb0a48959ca88985d94e81135ee23fcef9be99e","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-09T18:42:30Z","title_canon_sha256":"48b44617b602f09fac9e299bc9864abeb036d1c7b4725a835e232a4663ce5f13"},"schema_version":"1.0","source":{"id":"2402.06611","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.06611","created_at":"2026-07-05T08:08:01Z"},{"alias_kind":"arxiv_version","alias_value":"2402.06611v2","created_at":"2026-07-05T08:08:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.06611","created_at":"2026-07-05T08:08:01Z"},{"alias_kind":"pith_short_12","alias_value":"J65Q5ADO4SO2","created_at":"2026-07-05T08:08:01Z"},{"alias_kind":"pith_short_16","alias_value":"J65Q5ADO4SO2X7OV","created_at":"2026-07-05T08:08:01Z"},{"alias_kind":"pith_short_8","alias_value":"J65Q5ADO","created_at":"2026-07-05T08:08:01Z"}],"graph_snapshots":[{"event_id":"sha256:eb41b269e1bbff06033759809c2db70d3be2390d036bb778c34c5ca94ec68042","target":"graph","created_at":"2026-07-05T08:08:01Z","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/2402.06611/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Increasing the degree of digitisation and automation in the concrete production process can play a crucial role in reducing the CO$_2$ emissions that are associated with the production of concrete. In this paper, a method is presented that makes it possible to predict the properties of fresh concrete during the mixing process based on stereoscopic image sequences of the concretes flow behaviour. A Convolutional Neural Network (CNN) is used for the prediction, which receives the images supported by information on the mix design as input. In addition, the network receives temporal information in","authors_text":"Amadeus Langer, Christian Heipke, Dries Beyer, Max Coenen, Max Mehltretter, Max Meyer, Michael Haist, Tobias Schack","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-09T18:42:30Z","title":"Image-based Deep Learning for the time-dependent prediction of fresh concrete properties"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.06611","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:d893f999765909dae82c19ea933bea0f1d41f72e8671b3000b31ca2559e293d8","target":"record","created_at":"2026-07-05T08:08:01Z","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":"4cb95bcf9138be2594033bf90bb0a48959ca88985d94e81135ee23fcef9be99e","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-09T18:42:30Z","title_canon_sha256":"48b44617b602f09fac9e299bc9864abeb036d1c7b4725a835e232a4663ce5f13"},"schema_version":"1.0","source":{"id":"2402.06611","kind":"arxiv","version":2}},"canonical_sha256":"4fbb0e806ee49dabfdd5a2617d377d1c263d6159cd284ac876d07efd8f272f27","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4fbb0e806ee49dabfdd5a2617d377d1c263d6159cd284ac876d07efd8f272f27","first_computed_at":"2026-07-05T08:08:01.751413Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:08:01.751413Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6kIPj7KVDGQfqBjkmTgLFe8+gTTELJ7VnkK5QzzkBycE/oC6/B3yvXPQOagCZ3HWI1EVMLk0VKCbWebpvjttBg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:08:01.751977Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.06611","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d893f999765909dae82c19ea933bea0f1d41f72e8671b3000b31ca2559e293d8","sha256:eb41b269e1bbff06033759809c2db70d3be2390d036bb778c34c5ca94ec68042"],"state_sha256":"19859fa3591df8561e36c91bc607c5bb6d60306f0f64e735b643e470edbac5d2"}