{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VRKBSS2QP5YPFLANDF2G6IUVXK","short_pith_number":"pith:VRKBSS2Q","canonical_record":{"source":{"id":"2503.06469","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-09T06:12:30Z","cross_cats_sorted":[],"title_canon_sha256":"152293bc359a56293290741906f5354776bf828a7c869d9e3ee813fbc77de83f","abstract_canon_sha256":"15025e60d491e42ba8de5bf24a9bfa340b1c473b3ef6fcb4ac4869a58412ed73"},"schema_version":"1.0"},"canonical_sha256":"ac54194b507f70f2ac0d19746f2295babbb5f113c37fd5de44f6e48445f9fa2e","source":{"kind":"arxiv","id":"2503.06469","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.06469","created_at":"2026-07-05T10:27:34Z"},{"alias_kind":"arxiv_version","alias_value":"2503.06469v1","created_at":"2026-07-05T10:27:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.06469","created_at":"2026-07-05T10:27:34Z"},{"alias_kind":"pith_short_12","alias_value":"VRKBSS2QP5YP","created_at":"2026-07-05T10:27:34Z"},{"alias_kind":"pith_short_16","alias_value":"VRKBSS2QP5YPFLAN","created_at":"2026-07-05T10:27:34Z"},{"alias_kind":"pith_short_8","alias_value":"VRKBSS2Q","created_at":"2026-07-05T10:27:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VRKBSS2QP5YPFLANDF2G6IUVXK","target":"record","payload":{"canonical_record":{"source":{"id":"2503.06469","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-09T06:12:30Z","cross_cats_sorted":[],"title_canon_sha256":"152293bc359a56293290741906f5354776bf828a7c869d9e3ee813fbc77de83f","abstract_canon_sha256":"15025e60d491e42ba8de5bf24a9bfa340b1c473b3ef6fcb4ac4869a58412ed73"},"schema_version":"1.0"},"canonical_sha256":"ac54194b507f70f2ac0d19746f2295babbb5f113c37fd5de44f6e48445f9fa2e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:27:34.505330Z","signature_b64":"AVHfkk3sUYacBf6F9pdWQTG5j6GkNamAoq2XLs23rcEEIrNfbu+Rcn+THVb0UrE/DbK6gnFY8eBIoTd/uBBtBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ac54194b507f70f2ac0d19746f2295babbb5f113c37fd5de44f6e48445f9fa2e","last_reissued_at":"2026-07-05T10:27:34.504777Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:27:34.504777Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.06469","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":"2026-07-05T10:27:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S7eY/Mt6NZNVTuzyxMc1eTWaKzYShLeDZiHGo7TXr/kSQDsPFFfrx4Eg84trxppHYp+f9Gk37lUjbMRxz7ZoBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T21:14:06.360123Z"},"content_sha256":"c3298905e1fd7c9e8d3ef8c1342490d097822de31da063e3d5ed127894579c80","schema_version":"1.0","event_id":"sha256:c3298905e1fd7c9e8d3ef8c1342490d097822de31da063e3d5ed127894579c80"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VRKBSS2QP5YPFLANDF2G6IUVXK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Vector Quantized Feature Fields for Fast 3D Semantic Lifting","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aditya Agarwal, George Tang, Trevor Darrell, Weiqiao Han, Yutong Bai","submitted_at":"2025-03-09T06:12:30Z","abstract_excerpt":"We generalize lifting to semantic lifting by incorporating per-view masks that indicate relevant pixels for lifting tasks. These masks are determined by querying corresponding multiscale pixel-aligned feature maps, which are derived from scene representations such as distilled feature fields and feature point clouds. However, storing per-view feature maps rendered from distilled feature fields is impractical, and feature point clouds are expensive to store and query. To enable lightweight on-demand retrieval of pixel-aligned relevance masks, we introduce the Vector-Quantized Feature Field. We "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.06469","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/2503.06469/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":"2026-07-05T10:27:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nwHcxJ7PT+WeUCHlOf/yIT4AwSDlUs2bGKaX8z84sjAb1dqUsKc98J8CfpPB7qNoT8vwtYzeckiWjdhFvokwDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T21:14:06.360697Z"},"content_sha256":"4169d366a309af6974b095415e4605ea7e69e83775d8ba0949a0ec5f2dee5232","schema_version":"1.0","event_id":"sha256:4169d366a309af6974b095415e4605ea7e69e83775d8ba0949a0ec5f2dee5232"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VRKBSS2QP5YPFLANDF2G6IUVXK/bundle.json","state_url":"https://pith.science/pith/VRKBSS2QP5YPFLANDF2G6IUVXK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VRKBSS2QP5YPFLANDF2G6IUVXK/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":"2026-08-21T21:14:06Z","links":{"resolver":"https://pith.science/pith/VRKBSS2QP5YPFLANDF2G6IUVXK","bundle":"https://pith.science/pith/VRKBSS2QP5YPFLANDF2G6IUVXK/bundle.json","state":"https://pith.science/pith/VRKBSS2QP5YPFLANDF2G6IUVXK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VRKBSS2QP5YPFLANDF2G6IUVXK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VRKBSS2QP5YPFLANDF2G6IUVXK","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":"15025e60d491e42ba8de5bf24a9bfa340b1c473b3ef6fcb4ac4869a58412ed73","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-09T06:12:30Z","title_canon_sha256":"152293bc359a56293290741906f5354776bf828a7c869d9e3ee813fbc77de83f"},"schema_version":"1.0","source":{"id":"2503.06469","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.06469","created_at":"2026-07-05T10:27:34Z"},{"alias_kind":"arxiv_version","alias_value":"2503.06469v1","created_at":"2026-07-05T10:27:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.06469","created_at":"2026-07-05T10:27:34Z"},{"alias_kind":"pith_short_12","alias_value":"VRKBSS2QP5YP","created_at":"2026-07-05T10:27:34Z"},{"alias_kind":"pith_short_16","alias_value":"VRKBSS2QP5YPFLAN","created_at":"2026-07-05T10:27:34Z"},{"alias_kind":"pith_short_8","alias_value":"VRKBSS2Q","created_at":"2026-07-05T10:27:34Z"}],"graph_snapshots":[{"event_id":"sha256:4169d366a309af6974b095415e4605ea7e69e83775d8ba0949a0ec5f2dee5232","target":"graph","created_at":"2026-07-05T10:27:34Z","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/2503.06469/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We generalize lifting to semantic lifting by incorporating per-view masks that indicate relevant pixels for lifting tasks. These masks are determined by querying corresponding multiscale pixel-aligned feature maps, which are derived from scene representations such as distilled feature fields and feature point clouds. However, storing per-view feature maps rendered from distilled feature fields is impractical, and feature point clouds are expensive to store and query. To enable lightweight on-demand retrieval of pixel-aligned relevance masks, we introduce the Vector-Quantized Feature Field. We ","authors_text":"Aditya Agarwal, George Tang, Trevor Darrell, Weiqiao Han, Yutong Bai","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-09T06:12:30Z","title":"Vector Quantized Feature Fields for Fast 3D Semantic Lifting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.06469","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:c3298905e1fd7c9e8d3ef8c1342490d097822de31da063e3d5ed127894579c80","target":"record","created_at":"2026-07-05T10:27:34Z","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":"15025e60d491e42ba8de5bf24a9bfa340b1c473b3ef6fcb4ac4869a58412ed73","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-09T06:12:30Z","title_canon_sha256":"152293bc359a56293290741906f5354776bf828a7c869d9e3ee813fbc77de83f"},"schema_version":"1.0","source":{"id":"2503.06469","kind":"arxiv","version":1}},"canonical_sha256":"ac54194b507f70f2ac0d19746f2295babbb5f113c37fd5de44f6e48445f9fa2e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ac54194b507f70f2ac0d19746f2295babbb5f113c37fd5de44f6e48445f9fa2e","first_computed_at":"2026-07-05T10:27:34.504777Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:27:34.504777Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AVHfkk3sUYacBf6F9pdWQTG5j6GkNamAoq2XLs23rcEEIrNfbu+Rcn+THVb0UrE/DbK6gnFY8eBIoTd/uBBtBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:27:34.505330Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.06469","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c3298905e1fd7c9e8d3ef8c1342490d097822de31da063e3d5ed127894579c80","sha256:4169d366a309af6974b095415e4605ea7e69e83775d8ba0949a0ec5f2dee5232"],"state_sha256":"d1404c6e14622ba991f9918667f1da31d58d3bb564bb326655eb9fffabe63e5a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z8S6ZZLh7LAuyFRe0lY7joSt+2g95uV0ARW6bb/FzxuepWv4ldoi+XiicRFATif1G/pZYLbDMwe1iaEz3EkgDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T21:14:06.365506Z","bundle_sha256":"bf5236e06edeecdc6f5cba71be665720053d0e138d4b1fece486534a1bc2972b"}}