{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:GDAPEJUBYCTOXHPLE3PPH44BKE","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":"ac5951dc6b702c431e059655bfbadb9bd0c58a7264feb7055c6eda5061fdb262","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-02-04T12:30:00Z","title_canon_sha256":"2ac3e83d8b5b570cefa594ba8763b85b6bad6fcbbdad380c2f09570f00ea48a1"},"schema_version":"1.0","source":{"id":"1802.01115","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.01115","created_at":"2026-05-18T00:24:27Z"},{"alias_kind":"arxiv_version","alias_value":"1802.01115v1","created_at":"2026-05-18T00:24:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.01115","created_at":"2026-05-18T00:24:27Z"},{"alias_kind":"pith_short_12","alias_value":"GDAPEJUBYCTO","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_16","alias_value":"GDAPEJUBYCTOXHPL","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_8","alias_value":"GDAPEJUB","created_at":"2026-05-18T12:32:25Z"}],"graph_snapshots":[{"event_id":"sha256:cacbc5d6cc52d2928c4c96d0db7e34b2d1f845cacec99bb261e64dde424a842f","target":"graph","created_at":"2026-05-18T00:24:27Z","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":"We introduce End2You -- the Imperial College London toolkit for multimodal profiling by end-to-end deep learning. End2You is an open-source toolkit implemented in Python and is based on Tensorflow. It provides capabilities to train and evaluate models in an end-to-end manner, i.e., using raw input. It supports input from raw audio, visual, physiological or other types of information or combination of those, and the output can be of an arbitrary representation, for either classification or regression tasks. To our knowledge, this is the first toolkit that provides generic end-to-end learning fo","authors_text":"Bjorn W. Schuller, Panagiotis Tzirakis, Stefanos Zafeiriou","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-02-04T12:30:00Z","title":"End2You -- The Imperial Toolkit for Multimodal Profiling by End-to-End Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.01115","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":"sha256:76eb61350bfe118451c5516b1c6b22457affa4e1a600799c52c7ad0d5ec64430","target":"record","created_at":"2026-05-18T00:24:27Z","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":"ac5951dc6b702c431e059655bfbadb9bd0c58a7264feb7055c6eda5061fdb262","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-02-04T12:30:00Z","title_canon_sha256":"2ac3e83d8b5b570cefa594ba8763b85b6bad6fcbbdad380c2f09570f00ea48a1"},"schema_version":"1.0","source":{"id":"1802.01115","kind":"arxiv","version":1}},"canonical_sha256":"30c0f22681c0a6eb9deb26def3f381510eb3a97280e485f08009c8b3feb16287","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"30c0f22681c0a6eb9deb26def3f381510eb3a97280e485f08009c8b3feb16287","first_computed_at":"2026-05-18T00:24:27.286141Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:24:27.286141Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ft+u23BsM//7uHcJCbj9gEknsIXhguaXdtkjrtmV8U/Cd5Akp+vfT4Lkhtmp7Bld39AOjSPbIXzGESUoDaakDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:24:27.286750Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.01115","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:76eb61350bfe118451c5516b1c6b22457affa4e1a600799c52c7ad0d5ec64430","sha256:cacbc5d6cc52d2928c4c96d0db7e34b2d1f845cacec99bb261e64dde424a842f"],"state_sha256":"0064ae53673605ae4a577ef4e5036ae4f90165cd1ffad27f722ff8acd6be2d51"}