{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:G7QSDPKUDYX7ORL6VABMU6IITQ","short_pith_number":"pith:G7QSDPKU","schema_version":"1.0","canonical_sha256":"37e121bd541e2ff7457ea802ca79089c2fb94b593486685420bdcba696862215","source":{"kind":"arxiv","id":"2606.28149","version":1},"attestation_state":"computed","paper":{"title":"Toward Robust In-Context Segmentation via Concept Guidance","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Rongrong Ji, Xiawu Zheng, Zhigang Chen","submitted_at":"2026-06-26T14:46:38Z","abstract_excerpt":"In-context segmentation (ICS) requires a model to segment target regions in a query image using only a few reference images and their corresponding masks, without updating any parameters. Despite recent progress, prior ICS studies have largely overlooked a critical aspect: system robustness, ie, whether the model can produce stable segmentation results for the same query under different references. In this work, we revisit ICS from the robustness perspective and introduce a novel paradigm, Concept-Guided In-Context Segmentation (CG-ICS), which performs segmentation by extracting high-level sem"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.28149","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-26T14:46:38Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0ee1fe45637a940f6f51c5f5a72b7ad2401238fc735ee65b9c5e853f8bc3ad06","abstract_canon_sha256":"eb46446e0d1e0c00b3f9225ffdd0f58fb4d5bdb302af497758babdf568cd4a53"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-29T01:15:07.436832Z","signature_b64":"HkxjYEZKRIRcnlntrMjcGCC+0PW6UFvHI0IlBD7807kJED5mQSETLTyfH9MyaEWW8XYcvgDEKay6tLKMrSA9Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"37e121bd541e2ff7457ea802ca79089c2fb94b593486685420bdcba696862215","last_reissued_at":"2026-06-29T01:15:07.436267Z","signature_status":"signed_v1","first_computed_at":"2026-06-29T01:15:07.436267Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Toward Robust In-Context Segmentation via Concept Guidance","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Rongrong Ji, Xiawu Zheng, Zhigang Chen","submitted_at":"2026-06-26T14:46:38Z","abstract_excerpt":"In-context segmentation (ICS) requires a model to segment target regions in a query image using only a few reference images and their corresponding masks, without updating any parameters. Despite recent progress, prior ICS studies have largely overlooked a critical aspect: system robustness, ie, whether the model can produce stable segmentation results for the same query under different references. In this work, we revisit ICS from the robustness perspective and introduce a novel paradigm, Concept-Guided In-Context Segmentation (CG-ICS), which performs segmentation by extracting high-level sem"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.28149","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.28149/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.28149","created_at":"2026-06-29T01:15:07.436345+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.28149v1","created_at":"2026-06-29T01:15:07.436345+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.28149","created_at":"2026-06-29T01:15:07.436345+00:00"},{"alias_kind":"pith_short_12","alias_value":"G7QSDPKUDYX7","created_at":"2026-06-29T01:15:07.436345+00:00"},{"alias_kind":"pith_short_16","alias_value":"G7QSDPKUDYX7ORL6","created_at":"2026-06-29T01:15:07.436345+00:00"},{"alias_kind":"pith_short_8","alias_value":"G7QSDPKU","created_at":"2026-06-29T01:15:07.436345+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/G7QSDPKUDYX7ORL6VABMU6IITQ","json":"https://pith.science/pith/G7QSDPKUDYX7ORL6VABMU6IITQ.json","graph_json":"https://pith.science/api/pith-number/G7QSDPKUDYX7ORL6VABMU6IITQ/graph.json","events_json":"https://pith.science/api/pith-number/G7QSDPKUDYX7ORL6VABMU6IITQ/events.json","paper":"https://pith.science/paper/G7QSDPKU"},"agent_actions":{"view_html":"https://pith.science/pith/G7QSDPKUDYX7ORL6VABMU6IITQ","download_json":"https://pith.science/pith/G7QSDPKUDYX7ORL6VABMU6IITQ.json","view_paper":"https://pith.science/paper/G7QSDPKU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.28149&json=true","fetch_graph":"https://pith.science/api/pith-number/G7QSDPKUDYX7ORL6VABMU6IITQ/graph.json","fetch_events":"https://pith.science/api/pith-number/G7QSDPKUDYX7ORL6VABMU6IITQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/G7QSDPKUDYX7ORL6VABMU6IITQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/G7QSDPKUDYX7ORL6VABMU6IITQ/action/storage_attestation","attest_author":"https://pith.science/pith/G7QSDPKUDYX7ORL6VABMU6IITQ/action/author_attestation","sign_citation":"https://pith.science/pith/G7QSDPKUDYX7ORL6VABMU6IITQ/action/citation_signature","submit_replication":"https://pith.science/pith/G7QSDPKUDYX7ORL6VABMU6IITQ/action/replication_record"}},"created_at":"2026-06-29T01:15:07.436345+00:00","updated_at":"2026-06-29T01:15:07.436345+00:00"}