{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LOCWJAUW3EEKGVMHPJJSRK6SG3","short_pith_number":"pith:LOCWJAUW","canonical_record":{"source":{"id":"2501.04696","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-08T18:58:24Z","cross_cats_sorted":[],"title_canon_sha256":"8abca67ffa2fc953aa99a01d9e6a041e3d022675f4857b559b8e6c472bc32e3b","abstract_canon_sha256":"691f401f3508d3fbae47f56bf09fd793951496d3909f0c94618e58628db227c9"},"schema_version":"1.0"},"canonical_sha256":"5b85648296d908a355877a5328abd236ece73b310b183096c160164ca1b7b2f5","source":{"kind":"arxiv","id":"2501.04696","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.04696","created_at":"2026-07-05T10:26:42Z"},{"alias_kind":"arxiv_version","alias_value":"2501.04696v2","created_at":"2026-07-05T10:26:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.04696","created_at":"2026-07-05T10:26:42Z"},{"alias_kind":"pith_short_12","alias_value":"LOCWJAUW3EEK","created_at":"2026-07-05T10:26:42Z"},{"alias_kind":"pith_short_16","alias_value":"LOCWJAUW3EEKGVMH","created_at":"2026-07-05T10:26:42Z"},{"alias_kind":"pith_short_8","alias_value":"LOCWJAUW","created_at":"2026-07-05T10:26:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LOCWJAUW3EEKGVMHPJJSRK6SG3","target":"record","payload":{"canonical_record":{"source":{"id":"2501.04696","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-08T18:58:24Z","cross_cats_sorted":[],"title_canon_sha256":"8abca67ffa2fc953aa99a01d9e6a041e3d022675f4857b559b8e6c472bc32e3b","abstract_canon_sha256":"691f401f3508d3fbae47f56bf09fd793951496d3909f0c94618e58628db227c9"},"schema_version":"1.0"},"canonical_sha256":"5b85648296d908a355877a5328abd236ece73b310b183096c160164ca1b7b2f5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:26:42.909793Z","signature_b64":"tRza0jp6UEHXarnenDA6GgVnhCZ5zUjF02cNq3XzbZna2MWJkLU3qVvEBKxt/IXOTgILdZgMC6VBcV/qex3ZDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5b85648296d908a355877a5328abd236ece73b310b183096c160164ca1b7b2f5","last_reissued_at":"2026-07-05T10:26:42.909188Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:26:42.909188Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.04696","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:26:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A6gdbC+M75ti3CT96UBy2gYTudTGE3j50RYfqAB7r+iwFJZh4coUKDeZnaEeyhaoBeUyXCk/D14kTbPl541EAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T03:02:16.320340Z"},"content_sha256":"f0c537e205b0077a232673f35a62bb5fbc1cc95f1f1bf58e6d2b5e4c1e78aa82","schema_version":"1.0","event_id":"sha256:f0c537e205b0077a232673f35a62bb5fbc1cc95f1f1bf58e6d2b5e4c1e78aa82"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LOCWJAUW3EEKGVMHPJJSRK6SG3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Didula Samaraweera, Kanchana Ranasinghe, Kavindu Kariyawasam, Muzammal Naseer, Ranga Rodrigo, Sasini Wanigathunga, Ulindu De Silva","submitted_at":"2025-01-08T18:58:24Z","abstract_excerpt":"We present Seg-TTO, a novel framework for zero-shot, open-vocabulary semantic segmentation (OVSS), designed to excel in specialized domain tasks. While current open-vocabulary approaches show impressive performance on standard segmentation benchmarks under zero-shot settings, they fall short of supervised counterparts on highly domain-specific datasets. We focus on segmentation-specific test-time optimization to address this gap. Segmentation requires an understanding of multiple concepts within a single image while retaining the locality and spatial structure of representations. We propose a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.04696","kind":"arxiv","version":2},"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/2501.04696/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":"2026-07-05T10:26:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zVfT98LvCwhfxoSVtcR06qJ0+KhaNhtHIMTsRYnjEIqwtJ2gyijEyywOpbCPQiNVorcVO9zNjw3DaXqK2/EPDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T03:02:16.320741Z"},"content_sha256":"04f51e3763ba257682917b745410d8249c074c752d1b1e2b4b3b94ac40e0f643","schema_version":"1.0","event_id":"sha256:04f51e3763ba257682917b745410d8249c074c752d1b1e2b4b3b94ac40e0f643"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LOCWJAUW3EEKGVMHPJJSRK6SG3/bundle.json","state_url":"https://pith.science/pith/LOCWJAUW3EEKGVMHPJJSRK6SG3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LOCWJAUW3EEKGVMHPJJSRK6SG3/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":"2026-08-18T03:02:16Z","links":{"resolver":"https://pith.science/pith/LOCWJAUW3EEKGVMHPJJSRK6SG3","bundle":"https://pith.science/pith/LOCWJAUW3EEKGVMHPJJSRK6SG3/bundle.json","state":"https://pith.science/pith/LOCWJAUW3EEKGVMHPJJSRK6SG3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LOCWJAUW3EEKGVMHPJJSRK6SG3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LOCWJAUW3EEKGVMHPJJSRK6SG3","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":"691f401f3508d3fbae47f56bf09fd793951496d3909f0c94618e58628db227c9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-08T18:58:24Z","title_canon_sha256":"8abca67ffa2fc953aa99a01d9e6a041e3d022675f4857b559b8e6c472bc32e3b"},"schema_version":"1.0","source":{"id":"2501.04696","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.04696","created_at":"2026-07-05T10:26:42Z"},{"alias_kind":"arxiv_version","alias_value":"2501.04696v2","created_at":"2026-07-05T10:26:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.04696","created_at":"2026-07-05T10:26:42Z"},{"alias_kind":"pith_short_12","alias_value":"LOCWJAUW3EEK","created_at":"2026-07-05T10:26:42Z"},{"alias_kind":"pith_short_16","alias_value":"LOCWJAUW3EEKGVMH","created_at":"2026-07-05T10:26:42Z"},{"alias_kind":"pith_short_8","alias_value":"LOCWJAUW","created_at":"2026-07-05T10:26:42Z"}],"graph_snapshots":[{"event_id":"sha256:04f51e3763ba257682917b745410d8249c074c752d1b1e2b4b3b94ac40e0f643","target":"graph","created_at":"2026-07-05T10:26:42Z","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/2501.04696/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present Seg-TTO, a novel framework for zero-shot, open-vocabulary semantic segmentation (OVSS), designed to excel in specialized domain tasks. While current open-vocabulary approaches show impressive performance on standard segmentation benchmarks under zero-shot settings, they fall short of supervised counterparts on highly domain-specific datasets. We focus on segmentation-specific test-time optimization to address this gap. Segmentation requires an understanding of multiple concepts within a single image while retaining the locality and spatial structure of representations. We propose a ","authors_text":"Didula Samaraweera, Kanchana Ranasinghe, Kavindu Kariyawasam, Muzammal Naseer, Ranga Rodrigo, Sasini Wanigathunga, Ulindu De Silva","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-08T18:58:24Z","title":"Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.04696","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:f0c537e205b0077a232673f35a62bb5fbc1cc95f1f1bf58e6d2b5e4c1e78aa82","target":"record","created_at":"2026-07-05T10:26:42Z","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":"691f401f3508d3fbae47f56bf09fd793951496d3909f0c94618e58628db227c9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-08T18:58:24Z","title_canon_sha256":"8abca67ffa2fc953aa99a01d9e6a041e3d022675f4857b559b8e6c472bc32e3b"},"schema_version":"1.0","source":{"id":"2501.04696","kind":"arxiv","version":2}},"canonical_sha256":"5b85648296d908a355877a5328abd236ece73b310b183096c160164ca1b7b2f5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5b85648296d908a355877a5328abd236ece73b310b183096c160164ca1b7b2f5","first_computed_at":"2026-07-05T10:26:42.909188Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:26:42.909188Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tRza0jp6UEHXarnenDA6GgVnhCZ5zUjF02cNq3XzbZna2MWJkLU3qVvEBKxt/IXOTgILdZgMC6VBcV/qex3ZDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:26:42.909793Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.04696","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f0c537e205b0077a232673f35a62bb5fbc1cc95f1f1bf58e6d2b5e4c1e78aa82","sha256:04f51e3763ba257682917b745410d8249c074c752d1b1e2b4b3b94ac40e0f643"],"state_sha256":"d416b127159ddcdfbed93644697955d00a2ecc496ddeebd5e2073dd991877d37"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0w4tpmbgcEPVDkHCdrWrhaBmPqsNTON/vhSPJXrilRiCKO7ViO2v8pwIQCkeWkuo/SdIAe+GeDjq3HF7n/4JAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T03:02:16.323368Z","bundle_sha256":"ad1b291712ddaaa13996fa376508e74acc528a9b8885451f712f616516db7ab8"}}