{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:U3F7Z6E56QGOZ3G4YS732PTVIX","short_pith_number":"pith:U3F7Z6E5","canonical_record":{"source":{"id":"2412.08628","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T18:48:20Z","cross_cats_sorted":[],"title_canon_sha256":"4bf180ff183c07be5c4864ea1016534e0cdb676f1223140781fbf88c66b4b7c6","abstract_canon_sha256":"1f6907ed0e4a9e8dee6c8f496f0cc4af4da2d4d5c65fa253621ddcf127867ef4"},"schema_version":"1.0"},"canonical_sha256":"a6cbfcf89df40cececdcc4bfbd3e7545ff67319e35292bfeb9d649fc9dfe752e","source":{"kind":"arxiv","id":"2412.08628","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.08628","created_at":"2026-07-05T09:49:47Z"},{"alias_kind":"arxiv_version","alias_value":"2412.08628v2","created_at":"2026-07-05T09:49:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.08628","created_at":"2026-07-05T09:49:47Z"},{"alias_kind":"pith_short_12","alias_value":"U3F7Z6E56QGO","created_at":"2026-07-05T09:49:47Z"},{"alias_kind":"pith_short_16","alias_value":"U3F7Z6E56QGOZ3G4","created_at":"2026-07-05T09:49:47Z"},{"alias_kind":"pith_short_8","alias_value":"U3F7Z6E5","created_at":"2026-07-05T09:49:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:U3F7Z6E56QGOZ3G4YS732PTVIX","target":"record","payload":{"canonical_record":{"source":{"id":"2412.08628","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T18:48:20Z","cross_cats_sorted":[],"title_canon_sha256":"4bf180ff183c07be5c4864ea1016534e0cdb676f1223140781fbf88c66b4b7c6","abstract_canon_sha256":"1f6907ed0e4a9e8dee6c8f496f0cc4af4da2d4d5c65fa253621ddcf127867ef4"},"schema_version":"1.0"},"canonical_sha256":"a6cbfcf89df40cececdcc4bfbd3e7545ff67319e35292bfeb9d649fc9dfe752e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:49:47.452219Z","signature_b64":"+skE06GjEApogwRuz+vshKakc1TSUTJxq/rhQFWkh1WHdK44KuhljqxtfajKB8GoAFc5QJRzKpRKpwuRcDQUAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a6cbfcf89df40cececdcc4bfbd3e7545ff67319e35292bfeb9d649fc9dfe752e","last_reissued_at":"2026-07-05T09:49:47.451667Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:49:47.451667Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.08628","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":"2026-07-05T09:49:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B4uwRfXArI8D1p++MTL+h/wF2y8pyfm6+eQwry4kgaEtf9PegWl1I+U/CrVUnbAk9LGQ/F2NLqoNnNeBj+o1CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:22:33.076870Z"},"content_sha256":"9b8630d74d2e018ef5cd2d74a77681ea8c2574bc176ebc3ec2c15415c254dbac","schema_version":"1.0","event_id":"sha256:9b8630d74d2e018ef5cd2d74a77681ea8c2574bc176ebc3ec2c15415c254dbac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:U3F7Z6E56QGOZ3G4YS732PTVIX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guannan Jiang, Hongwei Niu, Jianghang Lin, Jie Hu, Shengchuan Zhang","submitted_at":"2024-12-11T18:48:20Z","abstract_excerpt":"Open-vocabulary panoptic segmentation aims to segment and classify everything in diverse scenes across an unbounded vocabulary. Existing methods typically employ two-stage or single-stage framework. The two-stage framework involves cropping the image multiple times using masks generated by a mask generator, followed by feature extraction, while the single-stage framework relies on a heavyweight mask decoder to make up for the lack of spatial position information through self-attention and cross-attention in multiple stacked Transformer blocks. Both methods incur substantial computational overh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.08628","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/2412.08628/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":"2026-07-05T09:49:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B4NWXgAlCCstssD9eqVIkh4Cd9bHsUsns9IwDjHSCSMz1H3OtOWNOS+rt2V89eWRR3nyKDUDaCeMicgXjBp4Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:22:33.077390Z"},"content_sha256":"02c1e3ca21536c63a40bea3f949b927199daa31fa52ca4a2d5c76db463d301cd","schema_version":"1.0","event_id":"sha256:02c1e3ca21536c63a40bea3f949b927199daa31fa52ca4a2d5c76db463d301cd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U3F7Z6E56QGOZ3G4YS732PTVIX/bundle.json","state_url":"https://pith.science/pith/U3F7Z6E56QGOZ3G4YS732PTVIX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U3F7Z6E56QGOZ3G4YS732PTVIX/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":"2026-08-07T06:22:33Z","links":{"resolver":"https://pith.science/pith/U3F7Z6E56QGOZ3G4YS732PTVIX","bundle":"https://pith.science/pith/U3F7Z6E56QGOZ3G4YS732PTVIX/bundle.json","state":"https://pith.science/pith/U3F7Z6E56QGOZ3G4YS732PTVIX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U3F7Z6E56QGOZ3G4YS732PTVIX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:U3F7Z6E56QGOZ3G4YS732PTVIX","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":"1f6907ed0e4a9e8dee6c8f496f0cc4af4da2d4d5c65fa253621ddcf127867ef4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T18:48:20Z","title_canon_sha256":"4bf180ff183c07be5c4864ea1016534e0cdb676f1223140781fbf88c66b4b7c6"},"schema_version":"1.0","source":{"id":"2412.08628","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.08628","created_at":"2026-07-05T09:49:47Z"},{"alias_kind":"arxiv_version","alias_value":"2412.08628v2","created_at":"2026-07-05T09:49:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.08628","created_at":"2026-07-05T09:49:47Z"},{"alias_kind":"pith_short_12","alias_value":"U3F7Z6E56QGO","created_at":"2026-07-05T09:49:47Z"},{"alias_kind":"pith_short_16","alias_value":"U3F7Z6E56QGOZ3G4","created_at":"2026-07-05T09:49:47Z"},{"alias_kind":"pith_short_8","alias_value":"U3F7Z6E5","created_at":"2026-07-05T09:49:47Z"}],"graph_snapshots":[{"event_id":"sha256:02c1e3ca21536c63a40bea3f949b927199daa31fa52ca4a2d5c76db463d301cd","target":"graph","created_at":"2026-07-05T09:49:47Z","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/2412.08628/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Open-vocabulary panoptic segmentation aims to segment and classify everything in diverse scenes across an unbounded vocabulary. Existing methods typically employ two-stage or single-stage framework. The two-stage framework involves cropping the image multiple times using masks generated by a mask generator, followed by feature extraction, while the single-stage framework relies on a heavyweight mask decoder to make up for the lack of spatial position information through self-attention and cross-attention in multiple stacked Transformer blocks. Both methods incur substantial computational overh","authors_text":"Guannan Jiang, Hongwei Niu, Jianghang Lin, Jie Hu, Shengchuan Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T18:48:20Z","title":"EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.08628","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":"sha256:9b8630d74d2e018ef5cd2d74a77681ea8c2574bc176ebc3ec2c15415c254dbac","target":"record","created_at":"2026-07-05T09:49:47Z","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":"1f6907ed0e4a9e8dee6c8f496f0cc4af4da2d4d5c65fa253621ddcf127867ef4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T18:48:20Z","title_canon_sha256":"4bf180ff183c07be5c4864ea1016534e0cdb676f1223140781fbf88c66b4b7c6"},"schema_version":"1.0","source":{"id":"2412.08628","kind":"arxiv","version":2}},"canonical_sha256":"a6cbfcf89df40cececdcc4bfbd3e7545ff67319e35292bfeb9d649fc9dfe752e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a6cbfcf89df40cececdcc4bfbd3e7545ff67319e35292bfeb9d649fc9dfe752e","first_computed_at":"2026-07-05T09:49:47.451667Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:49:47.451667Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+skE06GjEApogwRuz+vshKakc1TSUTJxq/rhQFWkh1WHdK44KuhljqxtfajKB8GoAFc5QJRzKpRKpwuRcDQUAw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:49:47.452219Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.08628","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9b8630d74d2e018ef5cd2d74a77681ea8c2574bc176ebc3ec2c15415c254dbac","sha256:02c1e3ca21536c63a40bea3f949b927199daa31fa52ca4a2d5c76db463d301cd"],"state_sha256":"eab54058db6be5bfad13ab44ea3bd2650b9d321968c64a59b01bdbb45621dffc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/QNtT7eUi7Cr0F2qYtxLFESE7s7cv6BAEuIn5ydHyZAUu2mrzhuVQLhmxf8h4GhkeOPOXpB9Imc2pfzo8W4SCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T06:22:33.082646Z","bundle_sha256":"5063ad4bdc31b76479fa869bafbd298d36964956730044ed856582b4539c3139"}}