{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UGC72BN2URJDJ7ZAIOI2R7IYBH","short_pith_number":"pith:UGC72BN2","canonical_record":{"source":{"id":"2605.31145","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-29T10:53:52Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"3b6ac04234014e1894177e8f67e88b6f55a43f2d4ac2c17e1f20e1b38e174713","abstract_canon_sha256":"6c41cd6fc86cb180a7a27d1dd07752e60f7fdbb4a42b81c4817419e126c53058"},"schema_version":"1.0"},"canonical_sha256":"a185fd05baa45234ff204391a8fd1809e633fbb26d9ccefdad6e8b73e528b595","source":{"kind":"arxiv","id":"2605.31145","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.31145","created_at":"2026-06-01T01:04:00Z"},{"alias_kind":"arxiv_version","alias_value":"2605.31145v1","created_at":"2026-06-01T01:04:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.31145","created_at":"2026-06-01T01:04:00Z"},{"alias_kind":"pith_short_12","alias_value":"UGC72BN2URJD","created_at":"2026-06-01T01:04:00Z"},{"alias_kind":"pith_short_16","alias_value":"UGC72BN2URJDJ7ZA","created_at":"2026-06-01T01:04:00Z"},{"alias_kind":"pith_short_8","alias_value":"UGC72BN2","created_at":"2026-06-01T01:04:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UGC72BN2URJDJ7ZAIOI2R7IYBH","target":"record","payload":{"canonical_record":{"source":{"id":"2605.31145","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-29T10:53:52Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"3b6ac04234014e1894177e8f67e88b6f55a43f2d4ac2c17e1f20e1b38e174713","abstract_canon_sha256":"6c41cd6fc86cb180a7a27d1dd07752e60f7fdbb4a42b81c4817419e126c53058"},"schema_version":"1.0"},"canonical_sha256":"a185fd05baa45234ff204391a8fd1809e633fbb26d9ccefdad6e8b73e528b595","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-01T01:04:00.964559Z","signature_b64":"ODoHR65gnnVyi3k4pDG6Z4fCsJX9HXu0E+krxVFuILMQhFUP5kEoPLk9PkkT0++JCgSsVAb0HbtiQbjC5s1+BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a185fd05baa45234ff204391a8fd1809e633fbb26d9ccefdad6e8b73e528b595","last_reissued_at":"2026-06-01T01:04:00.964045Z","signature_status":"signed_v1","first_computed_at":"2026-06-01T01:04:00.964045Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.31145","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-01T01:04:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gh9PDXVCdnnTlgjSVc92w7bHY47xeYwAArg66N6KsH/evRI7c0awICcHgnx1t/Rv3E1/Gjm2N0rJWjy8tDaQCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T16:36:28.733062Z"},"content_sha256":"751266e1c1601c0a55cdb6438df7913e65b2e48bc2f2f13d095c8553c3ce576f","schema_version":"1.0","event_id":"sha256:751266e1c1601c0a55cdb6438df7913e65b2e48bc2f2f13d095c8553c3ce576f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UGC72BN2URJDJ7ZAIOI2R7IYBH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Mohammed Asad Karim, Vinay Kumar Verma","submitted_at":"2026-05-29T10:53:52Z","abstract_excerpt":"In-context localization (ICL) seeks to localize a target object specified by a small set of support examples in a query image, operating on the fly without training or parameter updates. Despite rapid advances in vision-language models (VLMs), achieving category-agnostic and visually grounded ICL remains an open problem, even though it is essential for applications such as image editing, personalized visual search, and retrieval. Existing methods are fragile and rely on explicit category supervision, which not only limits applicability in realistic settings with unnamed or instance-specific ob"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.31145","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/2605.31145/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-01T01:04:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+41QcjUaWmt2FlboEXHc9bdJSgKU7CPpxwfyL05yd5flaOQBZcE/L9p/Yxt41+5AhH0A5e5Cw/8MBBd7VpRqAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T16:36:28.733504Z"},"content_sha256":"30b6c62214eb6cba3907b2c73dfe70fff20f62c5ed8d1c26565dbb2994e8cad6","schema_version":"1.0","event_id":"sha256:30b6c62214eb6cba3907b2c73dfe70fff20f62c5ed8d1c26565dbb2994e8cad6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UGC72BN2URJDJ7ZAIOI2R7IYBH/bundle.json","state_url":"https://pith.science/pith/UGC72BN2URJDJ7ZAIOI2R7IYBH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UGC72BN2URJDJ7ZAIOI2R7IYBH/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-09T16:36:28Z","links":{"resolver":"https://pith.science/pith/UGC72BN2URJDJ7ZAIOI2R7IYBH","bundle":"https://pith.science/pith/UGC72BN2URJDJ7ZAIOI2R7IYBH/bundle.json","state":"https://pith.science/pith/UGC72BN2URJDJ7ZAIOI2R7IYBH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UGC72BN2URJDJ7ZAIOI2R7IYBH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UGC72BN2URJDJ7ZAIOI2R7IYBH","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":"6c41cd6fc86cb180a7a27d1dd07752e60f7fdbb4a42b81c4817419e126c53058","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-29T10:53:52Z","title_canon_sha256":"3b6ac04234014e1894177e8f67e88b6f55a43f2d4ac2c17e1f20e1b38e174713"},"schema_version":"1.0","source":{"id":"2605.31145","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.31145","created_at":"2026-06-01T01:04:00Z"},{"alias_kind":"arxiv_version","alias_value":"2605.31145v1","created_at":"2026-06-01T01:04:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.31145","created_at":"2026-06-01T01:04:00Z"},{"alias_kind":"pith_short_12","alias_value":"UGC72BN2URJD","created_at":"2026-06-01T01:04:00Z"},{"alias_kind":"pith_short_16","alias_value":"UGC72BN2URJDJ7ZA","created_at":"2026-06-01T01:04:00Z"},{"alias_kind":"pith_short_8","alias_value":"UGC72BN2","created_at":"2026-06-01T01:04:00Z"}],"graph_snapshots":[{"event_id":"sha256:30b6c62214eb6cba3907b2c73dfe70fff20f62c5ed8d1c26565dbb2994e8cad6","target":"graph","created_at":"2026-06-01T01:04:00Z","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/2605.31145/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In-context localization (ICL) seeks to localize a target object specified by a small set of support examples in a query image, operating on the fly without training or parameter updates. Despite rapid advances in vision-language models (VLMs), achieving category-agnostic and visually grounded ICL remains an open problem, even though it is essential for applications such as image editing, personalized visual search, and retrieval. Existing methods are fragile and rely on explicit category supervision, which not only limits applicability in realistic settings with unnamed or instance-specific ob","authors_text":"Mohammed Asad Karim, Vinay Kumar Verma","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-29T10:53:52Z","title":"FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.31145","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":"sha256:751266e1c1601c0a55cdb6438df7913e65b2e48bc2f2f13d095c8553c3ce576f","target":"record","created_at":"2026-06-01T01:04:00Z","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":"6c41cd6fc86cb180a7a27d1dd07752e60f7fdbb4a42b81c4817419e126c53058","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-29T10:53:52Z","title_canon_sha256":"3b6ac04234014e1894177e8f67e88b6f55a43f2d4ac2c17e1f20e1b38e174713"},"schema_version":"1.0","source":{"id":"2605.31145","kind":"arxiv","version":1}},"canonical_sha256":"a185fd05baa45234ff204391a8fd1809e633fbb26d9ccefdad6e8b73e528b595","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a185fd05baa45234ff204391a8fd1809e633fbb26d9ccefdad6e8b73e528b595","first_computed_at":"2026-06-01T01:04:00.964045Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:04:00.964045Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ODoHR65gnnVyi3k4pDG6Z4fCsJX9HXu0E+krxVFuILMQhFUP5kEoPLk9PkkT0++JCgSsVAb0HbtiQbjC5s1+BQ==","signature_status":"signed_v1","signed_at":"2026-06-01T01:04:00.964559Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.31145","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:751266e1c1601c0a55cdb6438df7913e65b2e48bc2f2f13d095c8553c3ce576f","sha256:30b6c62214eb6cba3907b2c73dfe70fff20f62c5ed8d1c26565dbb2994e8cad6"],"state_sha256":"470d5cb7785e0ae550467ef84423159bed373d37294dbccbb2bdf5130e086e8f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sO5klBqBmLkrepMOQZD57CuecF3Qj4xvGxkrzoy/mTxAJH5kVe1CSHjqog1lXFmN6YuAdK4CLBD7Xt9KHdqQCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T16:36:28.735608Z","bundle_sha256":"1db3303362d453f6585e0a9d67f6314203b76f283870adc0fadc77fedcfca860"}}