{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:L64OXB7C5GV4RVRLWPDF2ZVCJG","short_pith_number":"pith:L64OXB7C","canonical_record":{"source":{"id":"2503.19777","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-25T15:47:13Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5306c68a3f7d7baee2d01a43aa63b4f2136fab89f0fe0891555857059c9ec11d","abstract_canon_sha256":"3138b7053fd9c153e708bd5c8e05b90df46c378bba9f90d19febc2af1310ef06"},"schema_version":"1.0"},"canonical_sha256":"5fb8eb87e2e9abc8d62bb3c65d66a249b72dde91377de578462f6e933227b187","source":{"kind":"arxiv","id":"2503.19777","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.19777","created_at":"2026-07-05T11:26:49Z"},{"alias_kind":"arxiv_version","alias_value":"2503.19777v2","created_at":"2026-07-05T11:26:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.19777","created_at":"2026-07-05T11:26:49Z"},{"alias_kind":"pith_short_12","alias_value":"L64OXB7C5GV4","created_at":"2026-07-05T11:26:49Z"},{"alias_kind":"pith_short_16","alias_value":"L64OXB7C5GV4RVRL","created_at":"2026-07-05T11:26:49Z"},{"alias_kind":"pith_short_8","alias_value":"L64OXB7C","created_at":"2026-07-05T11:26:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:L64OXB7C5GV4RVRLWPDF2ZVCJG","target":"record","payload":{"canonical_record":{"source":{"id":"2503.19777","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-25T15:47:13Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5306c68a3f7d7baee2d01a43aa63b4f2136fab89f0fe0891555857059c9ec11d","abstract_canon_sha256":"3138b7053fd9c153e708bd5c8e05b90df46c378bba9f90d19febc2af1310ef06"},"schema_version":"1.0"},"canonical_sha256":"5fb8eb87e2e9abc8d62bb3c65d66a249b72dde91377de578462f6e933227b187","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:26:49.241392Z","signature_b64":"F8Ztl+VrLeJMAV1lHOlbwL1eqHV7p5vWfp6ZstYZ1vL+8Ii05essYpgA33g6Q+cpn7L36hXiGiDXXUcYzSMvDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5fb8eb87e2e9abc8d62bb3c65d66a249b72dde91377de578462f6e933227b187","last_reissued_at":"2026-07-05T11:26:49.240897Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:26:49.240897Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.19777","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":"2026-07-05T11:26:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3K7/CYovAPg8wrBcKFyrWuRNIyHXTcz9WvI5kYupAUQOuxrdWj5kTzfoL+ol8HNmifqz2n+CVqzhtugIej8PAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T21:11:29.525500Z"},"content_sha256":"ad7ae67e54b39e1394446fbef681bea843cd99f01e6d33b2cdf7f45fbc5ab7f6","schema_version":"1.0","event_id":"sha256:ad7ae67e54b39e1394446fbef681bea843cd99f01e6d33b2cdf7f45fbc5ab7f6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:L64OXB7C5GV4RVRLWPDF2ZVCJG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Giorgos Tolias, Ji\\v{r}\\'i Matas, Vladan Stojni\\'c, Yannis Kalantidis","submitted_at":"2025-03-25T15:47:13Z","abstract_excerpt":"We propose a training-free method for open-vocabulary semantic segmentation using Vision-and-Language Models (VLMs). Our approach enhances the initial per-patch predictions of VLMs through label propagation, which jointly optimizes predictions by incorporating patch-to-patch relationships. Since VLMs are primarily optimized for cross-modal alignment and not for intra-modal similarity, we use a Vision Model (VM) that is observed to better capture these relationships. We address resolution limitations inherent to patch-based encoders by applying label propagation at the pixel level as a refineme"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.19777","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/2503.19777/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":"2026-07-05T11:26:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e4SoKEU1xXmqDYn7D+qFx8ftGrQ02HwT9zMY49uV3hXEaYYFhzZo/WFDdJoRLvdYgQOJW7Unkp8Pg4r/JrtvAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T21:11:29.525896Z"},"content_sha256":"b097ef307d4ead5bb98861de2190d97b18053efacdd18c87fae454e69cf2d227","schema_version":"1.0","event_id":"sha256:b097ef307d4ead5bb98861de2190d97b18053efacdd18c87fae454e69cf2d227"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L64OXB7C5GV4RVRLWPDF2ZVCJG/bundle.json","state_url":"https://pith.science/pith/L64OXB7C5GV4RVRLWPDF2ZVCJG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L64OXB7C5GV4RVRLWPDF2ZVCJG/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":"2026-07-06T21:11:29Z","links":{"resolver":"https://pith.science/pith/L64OXB7C5GV4RVRLWPDF2ZVCJG","bundle":"https://pith.science/pith/L64OXB7C5GV4RVRLWPDF2ZVCJG/bundle.json","state":"https://pith.science/pith/L64OXB7C5GV4RVRLWPDF2ZVCJG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L64OXB7C5GV4RVRLWPDF2ZVCJG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:L64OXB7C5GV4RVRLWPDF2ZVCJG","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":"3138b7053fd9c153e708bd5c8e05b90df46c378bba9f90d19febc2af1310ef06","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-25T15:47:13Z","title_canon_sha256":"5306c68a3f7d7baee2d01a43aa63b4f2136fab89f0fe0891555857059c9ec11d"},"schema_version":"1.0","source":{"id":"2503.19777","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.19777","created_at":"2026-07-05T11:26:49Z"},{"alias_kind":"arxiv_version","alias_value":"2503.19777v2","created_at":"2026-07-05T11:26:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.19777","created_at":"2026-07-05T11:26:49Z"},{"alias_kind":"pith_short_12","alias_value":"L64OXB7C5GV4","created_at":"2026-07-05T11:26:49Z"},{"alias_kind":"pith_short_16","alias_value":"L64OXB7C5GV4RVRL","created_at":"2026-07-05T11:26:49Z"},{"alias_kind":"pith_short_8","alias_value":"L64OXB7C","created_at":"2026-07-05T11:26:49Z"}],"graph_snapshots":[{"event_id":"sha256:b097ef307d4ead5bb98861de2190d97b18053efacdd18c87fae454e69cf2d227","target":"graph","created_at":"2026-07-05T11:26:49Z","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/2503.19777/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a training-free method for open-vocabulary semantic segmentation using Vision-and-Language Models (VLMs). Our approach enhances the initial per-patch predictions of VLMs through label propagation, which jointly optimizes predictions by incorporating patch-to-patch relationships. Since VLMs are primarily optimized for cross-modal alignment and not for intra-modal similarity, we use a Vision Model (VM) that is observed to better capture these relationships. We address resolution limitations inherent to patch-based encoders by applying label propagation at the pixel level as a refineme","authors_text":"Giorgos Tolias, Ji\\v{r}\\'i Matas, Vladan Stojni\\'c, Yannis Kalantidis","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-25T15:47:13Z","title":"LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.19777","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:ad7ae67e54b39e1394446fbef681bea843cd99f01e6d33b2cdf7f45fbc5ab7f6","target":"record","created_at":"2026-07-05T11:26:49Z","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":"3138b7053fd9c153e708bd5c8e05b90df46c378bba9f90d19febc2af1310ef06","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-25T15:47:13Z","title_canon_sha256":"5306c68a3f7d7baee2d01a43aa63b4f2136fab89f0fe0891555857059c9ec11d"},"schema_version":"1.0","source":{"id":"2503.19777","kind":"arxiv","version":2}},"canonical_sha256":"5fb8eb87e2e9abc8d62bb3c65d66a249b72dde91377de578462f6e933227b187","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5fb8eb87e2e9abc8d62bb3c65d66a249b72dde91377de578462f6e933227b187","first_computed_at":"2026-07-05T11:26:49.240897Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:26:49.240897Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F8Ztl+VrLeJMAV1lHOlbwL1eqHV7p5vWfp6ZstYZ1vL+8Ii05essYpgA33g6Q+cpn7L36hXiGiDXXUcYzSMvDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:26:49.241392Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.19777","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ad7ae67e54b39e1394446fbef681bea843cd99f01e6d33b2cdf7f45fbc5ab7f6","sha256:b097ef307d4ead5bb98861de2190d97b18053efacdd18c87fae454e69cf2d227"],"state_sha256":"02b65d371a4921592700e0f6a8b7dd1f41f7c9e2fe8b31801e52e314281064e0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Sn8NdPeiEjkc9KkLUNAPt6MKO65nEVZPwwJtO0JKmRkBDQK5njHOAbU2iz7mIGvBnUgxCw+GJvMFmFfzv/7UAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T21:11:29.528050Z","bundle_sha256":"04e0ad4b29f9ac219e6c138087f169c5c4f0d460634bba433c444ffc1fbf7d4c"}}