{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:6HAJMHGJQVTSDNR37R7EBV72MH","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":"54895220f398a0705b4bc85e723199cbc6dd600becb1ad75eb343032645b3022","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-04T12:30:49Z","title_canon_sha256":"101fcaa21908fd5ba5f448f9e6f331c4718b0694eaf4e0b6a5356e6cbe226f5c"},"schema_version":"1.0","source":{"id":"2202.03574","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.03574","created_at":"2026-07-05T07:13:38Z"},{"alias_kind":"arxiv_version","alias_value":"2202.03574v5","created_at":"2026-07-05T07:13:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.03574","created_at":"2026-07-05T07:13:38Z"},{"alias_kind":"pith_short_12","alias_value":"6HAJMHGJQVTS","created_at":"2026-07-05T07:13:38Z"},{"alias_kind":"pith_short_16","alias_value":"6HAJMHGJQVTSDNR3","created_at":"2026-07-05T07:13:38Z"},{"alias_kind":"pith_short_8","alias_value":"6HAJMHGJ","created_at":"2026-07-05T07:13:38Z"}],"graph_snapshots":[{"event_id":"sha256:d5e01695d7356cb7d521b5c1af0dcf882b6dbaf5b45cf94fb22c8ca47e7d5375","target":"graph","created_at":"2026-07-05T07:13:38Z","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/2202.03574/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Structured prediction problems are one of the fundamental tools in machine learning. In order to facilitate algorithm development for their numerical solution, we collect in one place a large number of datasets in easy to read formats for a diverse set of problem classes. We provide archival links to datasets, description of the considered problems and problem formats, and a short summary of problem characteristics including size, number of instances etc. For reference we also give a non-exhaustive selection of algorithms proposed in the literature for their solution. We hope that this central","authors_text":"Ahmed Abbas, Andrea Hornakova, Bjoern Andres, Bogdan Savchynskyy, David Stein, Florian Bernard, Jannik Irmai, Paul Roetzer, Paul Swoboda","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-04T12:30:49Z","title":"Structured Prediction Problem Archive"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.03574","kind":"arxiv","version":5},"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":"sha256:810549366e2c4f06882fdbf316b5211c6aba601e9d9eb99d68b972de962339a1","target":"record","created_at":"2026-07-05T07:13:38Z","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":"54895220f398a0705b4bc85e723199cbc6dd600becb1ad75eb343032645b3022","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-04T12:30:49Z","title_canon_sha256":"101fcaa21908fd5ba5f448f9e6f331c4718b0694eaf4e0b6a5356e6cbe226f5c"},"schema_version":"1.0","source":{"id":"2202.03574","kind":"arxiv","version":5}},"canonical_sha256":"f1c0961cc9856721b63bfc7e40d7fa61ed046638be3bf8d5cd4458d4e8e15702","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f1c0961cc9856721b63bfc7e40d7fa61ed046638be3bf8d5cd4458d4e8e15702","first_computed_at":"2026-07-05T07:13:38.463894Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:13:38.463894Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sHUcc+g/ZZvyYw79i4+XAfoUMmOtKb6dKrk2YVhSdRwbbeYG34DP8zwt/bHlXAkwMh+6BjHGuIjelJbpwtv0DA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:13:38.464310Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.03574","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:810549366e2c4f06882fdbf316b5211c6aba601e9d9eb99d68b972de962339a1","sha256:d5e01695d7356cb7d521b5c1af0dcf882b6dbaf5b45cf94fb22c8ca47e7d5375"],"state_sha256":"e98d6b04567e97cd5f9888bad950e31991de9c721f0f7d07393f840036feaef6"}