{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ESFWNVT3LILZBWVQRLB4AKMDEN","short_pith_number":"pith:ESFWNVT3","canonical_record":{"source":{"id":"2403.18118","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-26T21:48:27Z","cross_cats_sorted":[],"title_canon_sha256":"db6952ee0c402bb0ef18c849d26019fe467f3623eed3ad8dbef389b267b45de0","abstract_canon_sha256":"32eea06e1acfd7ef60e84778ff343bfb200c7321984327ff6c6efa00b3e5c60f"},"schema_version":"1.0"},"canonical_sha256":"248b66d67b5a1790dab08ac3c029832376e95669e190b6af37c448214c0e8f42","source":{"kind":"arxiv","id":"2403.18118","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.18118","created_at":"2026-07-05T08:47:17Z"},{"alias_kind":"arxiv_version","alias_value":"2403.18118v2","created_at":"2026-07-05T08:47:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.18118","created_at":"2026-07-05T08:47:17Z"},{"alias_kind":"pith_short_12","alias_value":"ESFWNVT3LILZ","created_at":"2026-07-05T08:47:17Z"},{"alias_kind":"pith_short_16","alias_value":"ESFWNVT3LILZBWVQ","created_at":"2026-07-05T08:47:17Z"},{"alias_kind":"pith_short_8","alias_value":"ESFWNVT3","created_at":"2026-07-05T08:47:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ESFWNVT3LILZBWVQRLB4AKMDEN","target":"record","payload":{"canonical_record":{"source":{"id":"2403.18118","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-26T21:48:27Z","cross_cats_sorted":[],"title_canon_sha256":"db6952ee0c402bb0ef18c849d26019fe467f3623eed3ad8dbef389b267b45de0","abstract_canon_sha256":"32eea06e1acfd7ef60e84778ff343bfb200c7321984327ff6c6efa00b3e5c60f"},"schema_version":"1.0"},"canonical_sha256":"248b66d67b5a1790dab08ac3c029832376e95669e190b6af37c448214c0e8f42","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:47:17.125210Z","signature_b64":"1DVQg0ZmBoessgDr7v8gl/slXWntpwrlFUUTEf5o1TRrTH6lrTWtq7pYSnzahB3g/kpvAJSRaxGiX/77qbE1Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"248b66d67b5a1790dab08ac3c029832376e95669e190b6af37c448214c0e8f42","last_reissued_at":"2026-07-05T08:47:17.124627Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:47:17.124627Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.18118","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":"2026-07-05T08:47:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Kc3k9YSdV42Nq/wczp1BIfcTcBmFBIsTW5egmaUQVdm05wdq4qCyKNwVdVryONItNCoH/ihEt3gWqyzp2J98DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T06:29:11.464550Z"},"content_sha256":"7d0835ff7bebe6c6a784369ea49de1c26e8e56c7aeb58cfc7f46b26a25129ffb","schema_version":"1.0","event_id":"sha256:7d0835ff7bebe6c6a784369ea49de1c26e8e56c7aeb58cfc7f46b26a25129ffb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ESFWNVT3LILZBWVQRLB4AKMDEN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EgoLifter: Open-world 3D Segmentation for Egocentric Perception","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chris Sweeney, Duncan Frost, Julian Straub, Qiao Gu, Simon Green, Zhaoyang Lv","submitted_at":"2024-03-26T21:48:27Z","abstract_excerpt":"In this paper we present EgoLifter, a novel system that can automatically segment scenes captured from egocentric sensors into a complete decomposition of individual 3D objects. The system is specifically designed for egocentric data where scenes contain hundreds of objects captured from natural (non-scanning) motion. EgoLifter adopts 3D Gaussians as the underlying representation of 3D scenes and objects and uses segmentation masks from the Segment Anything Model (SAM) as weak supervision to learn flexible and promptable definitions of object instances free of any specific object taxonomy. To "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.18118","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/2403.18118/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":"2026-07-05T08:47:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tS5NZMaTMA7+VTC8lUQk3dSuHoKcWhCRDOXVuvts+YHnSXMdviPmedMg00EPiOxdRJ6Jlaa2BETmh/FZY1LeAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T06:29:11.465043Z"},"content_sha256":"a60e45f5094140a68784e6557839cb38223284521313c9bb080ab44e5c6da9d9","schema_version":"1.0","event_id":"sha256:a60e45f5094140a68784e6557839cb38223284521313c9bb080ab44e5c6da9d9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ESFWNVT3LILZBWVQRLB4AKMDEN/bundle.json","state_url":"https://pith.science/pith/ESFWNVT3LILZBWVQRLB4AKMDEN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ESFWNVT3LILZBWVQRLB4AKMDEN/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":"2026-08-09T06:29:11Z","links":{"resolver":"https://pith.science/pith/ESFWNVT3LILZBWVQRLB4AKMDEN","bundle":"https://pith.science/pith/ESFWNVT3LILZBWVQRLB4AKMDEN/bundle.json","state":"https://pith.science/pith/ESFWNVT3LILZBWVQRLB4AKMDEN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ESFWNVT3LILZBWVQRLB4AKMDEN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ESFWNVT3LILZBWVQRLB4AKMDEN","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":"32eea06e1acfd7ef60e84778ff343bfb200c7321984327ff6c6efa00b3e5c60f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-26T21:48:27Z","title_canon_sha256":"db6952ee0c402bb0ef18c849d26019fe467f3623eed3ad8dbef389b267b45de0"},"schema_version":"1.0","source":{"id":"2403.18118","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.18118","created_at":"2026-07-05T08:47:17Z"},{"alias_kind":"arxiv_version","alias_value":"2403.18118v2","created_at":"2026-07-05T08:47:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.18118","created_at":"2026-07-05T08:47:17Z"},{"alias_kind":"pith_short_12","alias_value":"ESFWNVT3LILZ","created_at":"2026-07-05T08:47:17Z"},{"alias_kind":"pith_short_16","alias_value":"ESFWNVT3LILZBWVQ","created_at":"2026-07-05T08:47:17Z"},{"alias_kind":"pith_short_8","alias_value":"ESFWNVT3","created_at":"2026-07-05T08:47:17Z"}],"graph_snapshots":[{"event_id":"sha256:a60e45f5094140a68784e6557839cb38223284521313c9bb080ab44e5c6da9d9","target":"graph","created_at":"2026-07-05T08:47:17Z","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/2403.18118/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper we present EgoLifter, a novel system that can automatically segment scenes captured from egocentric sensors into a complete decomposition of individual 3D objects. The system is specifically designed for egocentric data where scenes contain hundreds of objects captured from natural (non-scanning) motion. EgoLifter adopts 3D Gaussians as the underlying representation of 3D scenes and objects and uses segmentation masks from the Segment Anything Model (SAM) as weak supervision to learn flexible and promptable definitions of object instances free of any specific object taxonomy. To ","authors_text":"Chris Sweeney, Duncan Frost, Julian Straub, Qiao Gu, Simon Green, Zhaoyang Lv","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-26T21:48:27Z","title":"EgoLifter: Open-world 3D Segmentation for Egocentric Perception"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.18118","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":"sha256:7d0835ff7bebe6c6a784369ea49de1c26e8e56c7aeb58cfc7f46b26a25129ffb","target":"record","created_at":"2026-07-05T08:47:17Z","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":"32eea06e1acfd7ef60e84778ff343bfb200c7321984327ff6c6efa00b3e5c60f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-26T21:48:27Z","title_canon_sha256":"db6952ee0c402bb0ef18c849d26019fe467f3623eed3ad8dbef389b267b45de0"},"schema_version":"1.0","source":{"id":"2403.18118","kind":"arxiv","version":2}},"canonical_sha256":"248b66d67b5a1790dab08ac3c029832376e95669e190b6af37c448214c0e8f42","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"248b66d67b5a1790dab08ac3c029832376e95669e190b6af37c448214c0e8f42","first_computed_at":"2026-07-05T08:47:17.124627Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:47:17.124627Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1DVQg0ZmBoessgDr7v8gl/slXWntpwrlFUUTEf5o1TRrTH6lrTWtq7pYSnzahB3g/kpvAJSRaxGiX/77qbE1Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:47:17.125210Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.18118","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7d0835ff7bebe6c6a784369ea49de1c26e8e56c7aeb58cfc7f46b26a25129ffb","sha256:a60e45f5094140a68784e6557839cb38223284521313c9bb080ab44e5c6da9d9"],"state_sha256":"5dc207e4d7ecb564b577544216e0ec154baf025076785432b78d8775cf3d958f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Prt9VGJifsGZ4Qc3GnITRne+Jxz9AmVZ7CNkqFdpYU7wo5ihhS/5f/UArG+c51Kb62a3lEXIjLN4baYTUn+uCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T06:29:11.470546Z","bundle_sha256":"c7cf1eac4b8e6ebb9ad52540df8608ebba4697ff7201c61549a617304d1cb461"}}