{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:BFBIK4I27ZSF3RRCL5TMEUIX52","short_pith_number":"pith:BFBIK4I2","canonical_record":{"source":{"id":"2401.10228","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-18T18:59:30Z","cross_cats_sorted":[],"title_canon_sha256":"8f43495eebdaad4dea0e1a26adb532579067ea34e9933f5f40d6b3f97f6e1842","abstract_canon_sha256":"843207a10902987b1d606b16d45c863cc6138abe37d16be9447f6c3431953780"},"schema_version":"1.0"},"canonical_sha256":"094285711afe645dc6225f66c25117ee994c1e94d17c23224486f99f0a28df55","source":{"kind":"arxiv","id":"2401.10228","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.10228","created_at":"2026-07-05T10:21:17Z"},{"alias_kind":"arxiv_version","alias_value":"2401.10228v2","created_at":"2026-07-05T10:21:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.10228","created_at":"2026-07-05T10:21:17Z"},{"alias_kind":"pith_short_12","alias_value":"BFBIK4I27ZSF","created_at":"2026-07-05T10:21:17Z"},{"alias_kind":"pith_short_16","alias_value":"BFBIK4I27ZSF3RRC","created_at":"2026-07-05T10:21:17Z"},{"alias_kind":"pith_short_8","alias_value":"BFBIK4I2","created_at":"2026-07-05T10:21:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:BFBIK4I27ZSF3RRCL5TMEUIX52","target":"record","payload":{"canonical_record":{"source":{"id":"2401.10228","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-18T18:59:30Z","cross_cats_sorted":[],"title_canon_sha256":"8f43495eebdaad4dea0e1a26adb532579067ea34e9933f5f40d6b3f97f6e1842","abstract_canon_sha256":"843207a10902987b1d606b16d45c863cc6138abe37d16be9447f6c3431953780"},"schema_version":"1.0"},"canonical_sha256":"094285711afe645dc6225f66c25117ee994c1e94d17c23224486f99f0a28df55","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:21:17.214582Z","signature_b64":"KFQRT/HFlk1IZGWz1X+AT7UZcT7UG5FdQXLsmSIUmC2wtellWksifT/Pep7p4HwWAryJQQ0Vn9OYJbmPIE1cBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"094285711afe645dc6225f66c25117ee994c1e94d17c23224486f99f0a28df55","last_reissued_at":"2026-07-05T10:21:17.214092Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:21:17.214092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.10228","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":"2026-07-05T10:21:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eh0OpwHctl6GRLrHYg4bccCMnUnDPH2uyxhbS2j/C3jPO6N3JOmywD9VkG3i/PFNq3MdfkyqkPfnFLiOZbtLCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T06:54:59.807040Z"},"content_sha256":"fd0425256e6434f3418be2185f4a698859ff47a1f6fb426e08155270b3ce4b11","schema_version":"1.0","event_id":"sha256:fd0425256e6434f3418be2185f4a698859ff47a1f6fb426e08155270b3ce4b11"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:BFBIK4I27ZSF3RRCL5TMEUIX52","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bernard Ghanem, Haobo Yuan, Jingbo Wang, Kai Chen, Lu Qi, Ming-Hsuan Yang, Qingyu Shi, Shilin Xu, Xiangtai Li, Yibo Yang, Yining Li, Yunhai Tong","submitted_at":"2024-01-18T18:59:30Z","abstract_excerpt":"Recent segmentation methods, which adopt large-scale data training and transformer architecture, aim to create one foundation model that can perform multiple tasks. However, most of these methods rely on heavy encoder and decoder frameworks, hindering their performance in real-time scenarios. To explore real-time segmentation, recent advancements primarily focus on semantic segmentation within specific environments, such as autonomous driving. However, they often overlook the generalization ability of these models across diverse scenarios. Therefore, to fill this gap, this work explores a nove"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.10228","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/2401.10228/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":"2026-07-05T10:21:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3XsVmIBDo+dU3oFvapio95QFVbJqooZKe808Y/QLG+NxieW6qPEUoa/vR4q+9X6EFm7Noh0Jhislt55qDsC5Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T06:54:59.807934Z"},"content_sha256":"0d847b1b26cb552e746bb6ecddd5224b8316bd4e0b295307ea36612e94aec47b","schema_version":"1.0","event_id":"sha256:0d847b1b26cb552e746bb6ecddd5224b8316bd4e0b295307ea36612e94aec47b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BFBIK4I27ZSF3RRCL5TMEUIX52/bundle.json","state_url":"https://pith.science/pith/BFBIK4I27ZSF3RRCL5TMEUIX52/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BFBIK4I27ZSF3RRCL5TMEUIX52/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":"2026-08-12T06:54:59Z","links":{"resolver":"https://pith.science/pith/BFBIK4I27ZSF3RRCL5TMEUIX52","bundle":"https://pith.science/pith/BFBIK4I27ZSF3RRCL5TMEUIX52/bundle.json","state":"https://pith.science/pith/BFBIK4I27ZSF3RRCL5TMEUIX52/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BFBIK4I27ZSF3RRCL5TMEUIX52/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BFBIK4I27ZSF3RRCL5TMEUIX52","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":"843207a10902987b1d606b16d45c863cc6138abe37d16be9447f6c3431953780","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-18T18:59:30Z","title_canon_sha256":"8f43495eebdaad4dea0e1a26adb532579067ea34e9933f5f40d6b3f97f6e1842"},"schema_version":"1.0","source":{"id":"2401.10228","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.10228","created_at":"2026-07-05T10:21:17Z"},{"alias_kind":"arxiv_version","alias_value":"2401.10228v2","created_at":"2026-07-05T10:21:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.10228","created_at":"2026-07-05T10:21:17Z"},{"alias_kind":"pith_short_12","alias_value":"BFBIK4I27ZSF","created_at":"2026-07-05T10:21:17Z"},{"alias_kind":"pith_short_16","alias_value":"BFBIK4I27ZSF3RRC","created_at":"2026-07-05T10:21:17Z"},{"alias_kind":"pith_short_8","alias_value":"BFBIK4I2","created_at":"2026-07-05T10:21:17Z"}],"graph_snapshots":[{"event_id":"sha256:0d847b1b26cb552e746bb6ecddd5224b8316bd4e0b295307ea36612e94aec47b","target":"graph","created_at":"2026-07-05T10:21:17Z","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/2401.10228/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent segmentation methods, which adopt large-scale data training and transformer architecture, aim to create one foundation model that can perform multiple tasks. However, most of these methods rely on heavy encoder and decoder frameworks, hindering their performance in real-time scenarios. To explore real-time segmentation, recent advancements primarily focus on semantic segmentation within specific environments, such as autonomous driving. However, they often overlook the generalization ability of these models across diverse scenarios. Therefore, to fill this gap, this work explores a nove","authors_text":"Bernard Ghanem, Haobo Yuan, Jingbo Wang, Kai Chen, Lu Qi, Ming-Hsuan Yang, Qingyu Shi, Shilin Xu, Xiangtai Li, Yibo Yang, Yining Li, Yunhai Tong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-18T18:59:30Z","title":"RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.10228","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:fd0425256e6434f3418be2185f4a698859ff47a1f6fb426e08155270b3ce4b11","target":"record","created_at":"2026-07-05T10:21:17Z","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":"843207a10902987b1d606b16d45c863cc6138abe37d16be9447f6c3431953780","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-18T18:59:30Z","title_canon_sha256":"8f43495eebdaad4dea0e1a26adb532579067ea34e9933f5f40d6b3f97f6e1842"},"schema_version":"1.0","source":{"id":"2401.10228","kind":"arxiv","version":2}},"canonical_sha256":"094285711afe645dc6225f66c25117ee994c1e94d17c23224486f99f0a28df55","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"094285711afe645dc6225f66c25117ee994c1e94d17c23224486f99f0a28df55","first_computed_at":"2026-07-05T10:21:17.214092Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:21:17.214092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KFQRT/HFlk1IZGWz1X+AT7UZcT7UG5FdQXLsmSIUmC2wtellWksifT/Pep7p4HwWAryJQQ0Vn9OYJbmPIE1cBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:21:17.214582Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.10228","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd0425256e6434f3418be2185f4a698859ff47a1f6fb426e08155270b3ce4b11","sha256:0d847b1b26cb552e746bb6ecddd5224b8316bd4e0b295307ea36612e94aec47b"],"state_sha256":"c4f9389cddeba5c4d0d262ad864db63b80fe52d498c5495e72a716644cfe9d40"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6YHDkOepl4Q4IHHYM+yF5KQUbSCzLC4MwoVEPfBOeceC+ePLHfVIIEvJuwgm+ydmhr1I0uaBf4kLx1mlMt3uBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T06:54:59.814529Z","bundle_sha256":"481ade18c03a046855c27e83c4f43fcc88bfb928304981fd6fa2b85f65c32c26"}}