{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7OEOIAPQPNFSU4RHHCDOEPT7KY","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":"2b3cfdd6583c9c80d83b7b318ad94c64a796ddde7c91a9c3dcd4af5b21775b2a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-01T15:32:23Z","title_canon_sha256":"25acadf64f274f2325d1b74ba103bbf64831cfc2c2772672314390a481152c39"},"schema_version":"1.0","source":{"id":"2507.00868","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.00868","created_at":"2026-07-05T11:30:46Z"},{"alias_kind":"arxiv_version","alias_value":"2507.00868v2","created_at":"2026-07-05T11:30:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.00868","created_at":"2026-07-05T11:30:46Z"},{"alias_kind":"pith_short_12","alias_value":"7OEOIAPQPNFS","created_at":"2026-07-05T11:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"7OEOIAPQPNFSU4RH","created_at":"2026-07-05T11:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"7OEOIAPQ","created_at":"2026-07-05T11:30:46Z"}],"graph_snapshots":[{"event_id":"sha256:e84b76abf1efc9dce1657d8c69f263010217869b8c0ac956cfddf14e0e70d1bf","target":"graph","created_at":"2026-07-05T11:30:46Z","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/2507.00868/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we explore the potential of visual in-context learning to enable a single model to handle multiple tasks and adapt to new tasks during test time without re-training. Unlike previous approaches, our focus is on training in-context learners to adapt to sequences of tasks, rather than individual tasks. Our goal is to solve complex tasks that involve multiple intermediate steps using a single model, allowing users to define entire vision pipelines flexibly at test time. To achieve this, we first examine the properties and limitations of visual in-context learning architectures, with","authors_text":"Alexander Jaus, Constantin Seibold, Erik Rodner, M. Saquib Sarfraz, Rainer Stiefelhagen, Simon Rei{\\ss}, Zdravko Marinov","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-01T15:32:23Z","title":"Is Visual in-Context Learning for Compositional Medical Tasks within Reach?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.00868","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:dc0fd71c250d218c2439a7022d98af83d02afefd52dd391131ab5fe3ff7d0492","target":"record","created_at":"2026-07-05T11:30:46Z","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":"2b3cfdd6583c9c80d83b7b318ad94c64a796ddde7c91a9c3dcd4af5b21775b2a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-01T15:32:23Z","title_canon_sha256":"25acadf64f274f2325d1b74ba103bbf64831cfc2c2772672314390a481152c39"},"schema_version":"1.0","source":{"id":"2507.00868","kind":"arxiv","version":2}},"canonical_sha256":"fb88e401f07b4b2a72273886e23e7f5604a1917982b7ae87257f11025956e4d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fb88e401f07b4b2a72273886e23e7f5604a1917982b7ae87257f11025956e4d9","first_computed_at":"2026-07-05T11:30:46.268504Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:30:46.268504Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6Mb6WjvtiBOrTzZZGMIeYdLHq6znrYW7N0n2awLWMslBRHmnU9Mc90ipdEc66Q91aZr2gt5KRGMqxTuIU9MIDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:30:46.269008Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.00868","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc0fd71c250d218c2439a7022d98af83d02afefd52dd391131ab5fe3ff7d0492","sha256:e84b76abf1efc9dce1657d8c69f263010217869b8c0ac956cfddf14e0e70d1bf"],"state_sha256":"e3cc7d2a30e59be4234cb0b50f880b6656072f20eb4071e971882478bc5be29d"}