{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XTBRBLAF3K7HRW5LQIBTRCGVXL","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":"3a4c3d240bb1bb0be29b02d7a67275a3389d4d7ea43f02e0330a7cc115dfbe77","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-29T14:14:34Z","title_canon_sha256":"a9761ec140a06924c60cd6add90124a696956cdf5ef63884827cc7759b32d7a0"},"schema_version":"1.0","source":{"id":"2606.30336","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.30336","created_at":"2026-06-30T02:18:10Z"},{"alias_kind":"arxiv_version","alias_value":"2606.30336v1","created_at":"2026-06-30T02:18:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.30336","created_at":"2026-06-30T02:18:10Z"},{"alias_kind":"pith_short_12","alias_value":"XTBRBLAF3K7H","created_at":"2026-06-30T02:18:10Z"},{"alias_kind":"pith_short_16","alias_value":"XTBRBLAF3K7HRW5L","created_at":"2026-06-30T02:18:10Z"},{"alias_kind":"pith_short_8","alias_value":"XTBRBLAF","created_at":"2026-06-30T02:18:10Z"}],"graph_snapshots":[{"event_id":"sha256:7f78609e923bd6b92a8edfe364f0c7c343760768a6f666450f60302af082ea20","target":"graph","created_at":"2026-06-30T02:18:10Z","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/2606.30336/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce FlexTab, a flexible encoder-decoder architecture for in-context learning on tabular data that pairs a single, task-agnostic encoder with a suite of task-specific decoders. Unlike existing tabular in-context learners, which entangle feature representations with a specific prediction target, our design produces \\textit{target-agnostic} row embeddings that can be leveraged across a wide range of downstream tasks within a table-native in-context learning setup. We demonstrate this flexibility on six distinct problems: classification, regression, anomaly detection, clustering, entity m","authors_text":"Johannes H\\\"ohne, Marco Spinaci, Marek Polewczyk, Maximilian Schambach, Sam Thelin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-29T14:14:34Z","title":"FlexTab: A Flexible Encoder-Decoder Architecture for In-Context Learning Across Diverse Tabular Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.30336","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":"sha256:8282be2425da4bca03304d6862684eb588df36449336e97ba1f8e82b78df8ad0","target":"record","created_at":"2026-06-30T02:18:10Z","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":"3a4c3d240bb1bb0be29b02d7a67275a3389d4d7ea43f02e0330a7cc115dfbe77","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-29T14:14:34Z","title_canon_sha256":"a9761ec140a06924c60cd6add90124a696956cdf5ef63884827cc7759b32d7a0"},"schema_version":"1.0","source":{"id":"2606.30336","kind":"arxiv","version":1}},"canonical_sha256":"bcc310ac05dabe78dbab82033888d5baf48b7ae93c7266dc5fd23798e9115d39","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bcc310ac05dabe78dbab82033888d5baf48b7ae93c7266dc5fd23798e9115d39","first_computed_at":"2026-06-30T02:18:10.898457Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T02:18:10.898457Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Q5rjBrRGi8szMA1mpmje5aBbOcOcM2rYV8SymK95Ykk+XK4o/EkDMeR75yxq7mhCBj+otb+fLhOOiecUZG87Cg==","signature_status":"signed_v1","signed_at":"2026-06-30T02:18:10.899122Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.30336","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8282be2425da4bca03304d6862684eb588df36449336e97ba1f8e82b78df8ad0","sha256:7f78609e923bd6b92a8edfe364f0c7c343760768a6f666450f60302af082ea20"],"state_sha256":"f079057f79764aa768b6c52fdca25af9b65dd568bd7e05eb2c20a6c8198fe430"}