{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:COW33V66BH5GRST4NSYPNDNU3X","short_pith_number":"pith:COW33V66","canonical_record":{"source":{"id":"2506.03706","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-04T08:36:56Z","cross_cats_sorted":[],"title_canon_sha256":"6fa4d8ddd5a6f53c97f80ac0260fec0f2d848a585082e175b61b9e2d4c87fc9e","abstract_canon_sha256":"01d049d6f002edd8a27ff06f5f9a648034b67fef1bbc5a9a6d7b79ce4e5ac2da"},"schema_version":"1.0"},"canonical_sha256":"13adbdd7de09fa68ca7c6cb0f68db4ddc92d17ccd8ccde493f9191eec1b64166","source":{"kind":"arxiv","id":"2506.03706","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.03706","created_at":"2026-07-05T11:15:50Z"},{"alias_kind":"arxiv_version","alias_value":"2506.03706v1","created_at":"2026-07-05T11:15:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03706","created_at":"2026-07-05T11:15:50Z"},{"alias_kind":"pith_short_12","alias_value":"COW33V66BH5G","created_at":"2026-07-05T11:15:50Z"},{"alias_kind":"pith_short_16","alias_value":"COW33V66BH5GRST4","created_at":"2026-07-05T11:15:50Z"},{"alias_kind":"pith_short_8","alias_value":"COW33V66","created_at":"2026-07-05T11:15:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:COW33V66BH5GRST4NSYPNDNU3X","target":"record","payload":{"canonical_record":{"source":{"id":"2506.03706","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-04T08:36:56Z","cross_cats_sorted":[],"title_canon_sha256":"6fa4d8ddd5a6f53c97f80ac0260fec0f2d848a585082e175b61b9e2d4c87fc9e","abstract_canon_sha256":"01d049d6f002edd8a27ff06f5f9a648034b67fef1bbc5a9a6d7b79ce4e5ac2da"},"schema_version":"1.0"},"canonical_sha256":"13adbdd7de09fa68ca7c6cb0f68db4ddc92d17ccd8ccde493f9191eec1b64166","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:15:50.271436Z","signature_b64":"JckEstc0K5EGtjms1CAW5b/yOo03k455qZaZ2Gvakctf2Lg4cjBwe3cxy5TiPjRhrjh0wXtXrzqQBjkidLngBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"13adbdd7de09fa68ca7c6cb0f68db4ddc92d17ccd8ccde493f9191eec1b64166","last_reissued_at":"2026-07-05T11:15:50.270943Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:15:50.270943Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.03706","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":"2026-07-05T11:15:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cq4ZU2dqqS7XYbsdixdVejT/cTtLKy1xhXcDJzNuM1d0rYZAqhZTL1RE8l7WvfpbgHIQvp8qO4jFZnZxmzzlDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-15T21:04:03.249710Z"},"content_sha256":"9eca1008169f78712a34d91a025e5cad85695c01da901d0d102a15a781c9066c","schema_version":"1.0","event_id":"sha256:9eca1008169f78712a34d91a025e5cad85695c01da901d0d102a15a781c9066c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:COW33V66BH5GRST4NSYPNDNU3X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OV-COAST: Cost Aggregation with Optimal Transport for Open-Vocabulary Semantic Segmentation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aditya Gandhamal, Aniruddh Sikdar, Suresh Sundaram","submitted_at":"2025-06-04T08:36:56Z","abstract_excerpt":"Open-vocabulary semantic segmentation (OVSS) entails assigning semantic labels to each pixel in an image using textual descriptions, typically leveraging world models such as CLIP. To enhance out-of-domain generalization, we propose Cost Aggregation with Optimal Transport (OV-COAST) for open-vocabulary semantic segmentation. To align visual-language features within the framework of optimal transport theory, we employ cost volume to construct a cost matrix, which quantifies the distance between two distributions. Our approach adopts a two-stage optimization strategy: in the first stage, the opt"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03706","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/2506.03706/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":"2026-07-05T11:15:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EsNinvyvK8kkNAtpkeBNADrTkOlol00kBxZLjxjyanp/eH6s3yK4OqB93qxH7DrgS+O2iHSIMs3s4376JE82Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-15T21:04:03.250083Z"},"content_sha256":"8bf23bda2d589780987e31770e9eb8661ad0bec53f5eaf0e85d7acc8233207e7","schema_version":"1.0","event_id":"sha256:8bf23bda2d589780987e31770e9eb8661ad0bec53f5eaf0e85d7acc8233207e7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/COW33V66BH5GRST4NSYPNDNU3X/bundle.json","state_url":"https://pith.science/pith/COW33V66BH5GRST4NSYPNDNU3X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/COW33V66BH5GRST4NSYPNDNU3X/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":"2026-07-15T21:04:03Z","links":{"resolver":"https://pith.science/pith/COW33V66BH5GRST4NSYPNDNU3X","bundle":"https://pith.science/pith/COW33V66BH5GRST4NSYPNDNU3X/bundle.json","state":"https://pith.science/pith/COW33V66BH5GRST4NSYPNDNU3X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/COW33V66BH5GRST4NSYPNDNU3X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:COW33V66BH5GRST4NSYPNDNU3X","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":"01d049d6f002edd8a27ff06f5f9a648034b67fef1bbc5a9a6d7b79ce4e5ac2da","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-04T08:36:56Z","title_canon_sha256":"6fa4d8ddd5a6f53c97f80ac0260fec0f2d848a585082e175b61b9e2d4c87fc9e"},"schema_version":"1.0","source":{"id":"2506.03706","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.03706","created_at":"2026-07-05T11:15:50Z"},{"alias_kind":"arxiv_version","alias_value":"2506.03706v1","created_at":"2026-07-05T11:15:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03706","created_at":"2026-07-05T11:15:50Z"},{"alias_kind":"pith_short_12","alias_value":"COW33V66BH5G","created_at":"2026-07-05T11:15:50Z"},{"alias_kind":"pith_short_16","alias_value":"COW33V66BH5GRST4","created_at":"2026-07-05T11:15:50Z"},{"alias_kind":"pith_short_8","alias_value":"COW33V66","created_at":"2026-07-05T11:15:50Z"}],"graph_snapshots":[{"event_id":"sha256:8bf23bda2d589780987e31770e9eb8661ad0bec53f5eaf0e85d7acc8233207e7","target":"graph","created_at":"2026-07-05T11:15:50Z","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/2506.03706/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Open-vocabulary semantic segmentation (OVSS) entails assigning semantic labels to each pixel in an image using textual descriptions, typically leveraging world models such as CLIP. To enhance out-of-domain generalization, we propose Cost Aggregation with Optimal Transport (OV-COAST) for open-vocabulary semantic segmentation. To align visual-language features within the framework of optimal transport theory, we employ cost volume to construct a cost matrix, which quantifies the distance between two distributions. Our approach adopts a two-stage optimization strategy: in the first stage, the opt","authors_text":"Aditya Gandhamal, Aniruddh Sikdar, Suresh Sundaram","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-04T08:36:56Z","title":"OV-COAST: Cost Aggregation with Optimal Transport for Open-Vocabulary Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03706","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":"sha256:9eca1008169f78712a34d91a025e5cad85695c01da901d0d102a15a781c9066c","target":"record","created_at":"2026-07-05T11:15:50Z","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":"01d049d6f002edd8a27ff06f5f9a648034b67fef1bbc5a9a6d7b79ce4e5ac2da","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-04T08:36:56Z","title_canon_sha256":"6fa4d8ddd5a6f53c97f80ac0260fec0f2d848a585082e175b61b9e2d4c87fc9e"},"schema_version":"1.0","source":{"id":"2506.03706","kind":"arxiv","version":1}},"canonical_sha256":"13adbdd7de09fa68ca7c6cb0f68db4ddc92d17ccd8ccde493f9191eec1b64166","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"13adbdd7de09fa68ca7c6cb0f68db4ddc92d17ccd8ccde493f9191eec1b64166","first_computed_at":"2026-07-05T11:15:50.270943Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:50.270943Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JckEstc0K5EGtjms1CAW5b/yOo03k455qZaZ2Gvakctf2Lg4cjBwe3cxy5TiPjRhrjh0wXtXrzqQBjkidLngBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:50.271436Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.03706","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9eca1008169f78712a34d91a025e5cad85695c01da901d0d102a15a781c9066c","sha256:8bf23bda2d589780987e31770e9eb8661ad0bec53f5eaf0e85d7acc8233207e7"],"state_sha256":"7729da75ee965428c07d38e469c0c08a611db592df0fb42fef1f0ed05452be70"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PHn+WrGp6tCZTRGzCh6eAEOADVagMMQoGW3EYuEw+thkNjvoVDDvBcznUbooVcg1oH2Uw1saFco46Domyof6CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-15T21:04:03.252266Z","bundle_sha256":"9389bb7f598114ddc1c4a9a32967724a7dc8b54ce7cb8dba448e330b84229c45"}}