{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:3TQZNTLHHNA5IT4VZWCYELONNT","short_pith_number":"pith:3TQZNTLH","canonical_record":{"source":{"id":"2311.10883","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-17T21:58:26Z","cross_cats_sorted":["cs.CL","cs.RO"],"title_canon_sha256":"d367e5ab2de886a9fd3b3cf6c7ac63f90b2326c0eb14670a666f294c2d6d26f0","abstract_canon_sha256":"bcecea7469f3f64a9f50cfbdbf8879d92f7d3ce18b9e403132cad84e151fb662"},"schema_version":"1.0"},"canonical_sha256":"dce196cd673b41d44f95cd85822dcd6cc97a17f7bda74f5598007281fcb4b416","source":{"kind":"arxiv","id":"2311.10883","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.10883","created_at":"2026-07-05T07:14:24Z"},{"alias_kind":"arxiv_version","alias_value":"2311.10883v1","created_at":"2026-07-05T07:14:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.10883","created_at":"2026-07-05T07:14:24Z"},{"alias_kind":"pith_short_12","alias_value":"3TQZNTLHHNA5","created_at":"2026-07-05T07:14:24Z"},{"alias_kind":"pith_short_16","alias_value":"3TQZNTLHHNA5IT4V","created_at":"2026-07-05T07:14:24Z"},{"alias_kind":"pith_short_8","alias_value":"3TQZNTLH","created_at":"2026-07-05T07:14:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:3TQZNTLHHNA5IT4VZWCYELONNT","target":"record","payload":{"canonical_record":{"source":{"id":"2311.10883","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-17T21:58:26Z","cross_cats_sorted":["cs.CL","cs.RO"],"title_canon_sha256":"d367e5ab2de886a9fd3b3cf6c7ac63f90b2326c0eb14670a666f294c2d6d26f0","abstract_canon_sha256":"bcecea7469f3f64a9f50cfbdbf8879d92f7d3ce18b9e403132cad84e151fb662"},"schema_version":"1.0"},"canonical_sha256":"dce196cd673b41d44f95cd85822dcd6cc97a17f7bda74f5598007281fcb4b416","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:14:24.097016Z","signature_b64":"ycw0aL+dz7cKM5xtQxpLfxr34aFqKRswfoGiQBoa092Y/F7a2kVjfax/836AiqC5pLBHHe3y6m98o7YYOyhmCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dce196cd673b41d44f95cd85822dcd6cc97a17f7bda74f5598007281fcb4b416","last_reissued_at":"2026-07-05T07:14:24.096602Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:14:24.096602Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.10883","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":"2026-07-05T07:14:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2vj5p5dwPBHmXPIi9s7+b2zPpXZMhqiZPD1DNHiD7Gc7ANIxyBY0Ubl18YV83jHEwuHsip982CmiNSaHydvqCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T00:21:24.411700Z"},"content_sha256":"c035c9f45479ccb38a86f0e1a46a7a3a8f897db64074cd4115d1eb9eefdb58ff","schema_version":"1.0","event_id":"sha256:c035c9f45479ccb38a86f0e1a46a7a3a8f897db64074cd4115d1eb9eefdb58ff"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:3TQZNTLHHNA5IT4VZWCYELONNT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.RO"],"primary_cat":"cs.CV","authors_text":"Jana Kosecka, Md Alimoor Reza, Navid Rajabi, Sulabh Shrestha, Yimeng Li","submitted_at":"2023-11-17T21:58:26Z","abstract_excerpt":"The image annotation stage is a critical and often the most time-consuming part required for training and evaluating object detection and semantic segmentation models. Deployment of the existing models in novel environments often requires detecting novel semantic classes not present in the training data. Furthermore, indoor scenes contain significant viewpoint variations, which need to be handled properly by trained perception models. We propose to leverage the recent advancements in state-of-the-art models for bottom-up segmentation (SAM), object detection (Detic), and semantic segmentation ("},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.10883","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/2311.10883/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":"2026-07-05T07:14:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JfybxINItQ3mNDuefp0DwK16hpc0d72fj0h0V2gyUk86ugYj1sfhR/skLryPWYeku7dwygKqtUm2wiC91fmrBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T00:21:24.412226Z"},"content_sha256":"8729f67155f128cc4ae81db3344874bd736e76728a0f2c75c211c428e04cf36e","schema_version":"1.0","event_id":"sha256:8729f67155f128cc4ae81db3344874bd736e76728a0f2c75c211c428e04cf36e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3TQZNTLHHNA5IT4VZWCYELONNT/bundle.json","state_url":"https://pith.science/pith/3TQZNTLHHNA5IT4VZWCYELONNT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3TQZNTLHHNA5IT4VZWCYELONNT/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":"2026-08-17T00:21:24Z","links":{"resolver":"https://pith.science/pith/3TQZNTLHHNA5IT4VZWCYELONNT","bundle":"https://pith.science/pith/3TQZNTLHHNA5IT4VZWCYELONNT/bundle.json","state":"https://pith.science/pith/3TQZNTLHHNA5IT4VZWCYELONNT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3TQZNTLHHNA5IT4VZWCYELONNT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:3TQZNTLHHNA5IT4VZWCYELONNT","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":"bcecea7469f3f64a9f50cfbdbf8879d92f7d3ce18b9e403132cad84e151fb662","cross_cats_sorted":["cs.CL","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-17T21:58:26Z","title_canon_sha256":"d367e5ab2de886a9fd3b3cf6c7ac63f90b2326c0eb14670a666f294c2d6d26f0"},"schema_version":"1.0","source":{"id":"2311.10883","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.10883","created_at":"2026-07-05T07:14:24Z"},{"alias_kind":"arxiv_version","alias_value":"2311.10883v1","created_at":"2026-07-05T07:14:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.10883","created_at":"2026-07-05T07:14:24Z"},{"alias_kind":"pith_short_12","alias_value":"3TQZNTLHHNA5","created_at":"2026-07-05T07:14:24Z"},{"alias_kind":"pith_short_16","alias_value":"3TQZNTLHHNA5IT4V","created_at":"2026-07-05T07:14:24Z"},{"alias_kind":"pith_short_8","alias_value":"3TQZNTLH","created_at":"2026-07-05T07:14:24Z"}],"graph_snapshots":[{"event_id":"sha256:8729f67155f128cc4ae81db3344874bd736e76728a0f2c75c211c428e04cf36e","target":"graph","created_at":"2026-07-05T07:14:24Z","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/2311.10883/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The image annotation stage is a critical and often the most time-consuming part required for training and evaluating object detection and semantic segmentation models. Deployment of the existing models in novel environments often requires detecting novel semantic classes not present in the training data. Furthermore, indoor scenes contain significant viewpoint variations, which need to be handled properly by trained perception models. We propose to leverage the recent advancements in state-of-the-art models for bottom-up segmentation (SAM), object detection (Detic), and semantic segmentation (","authors_text":"Jana Kosecka, Md Alimoor Reza, Navid Rajabi, Sulabh Shrestha, Yimeng Li","cross_cats":["cs.CL","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-17T21:58:26Z","title":"Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.10883","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:c035c9f45479ccb38a86f0e1a46a7a3a8f897db64074cd4115d1eb9eefdb58ff","target":"record","created_at":"2026-07-05T07:14:24Z","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":"bcecea7469f3f64a9f50cfbdbf8879d92f7d3ce18b9e403132cad84e151fb662","cross_cats_sorted":["cs.CL","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-17T21:58:26Z","title_canon_sha256":"d367e5ab2de886a9fd3b3cf6c7ac63f90b2326c0eb14670a666f294c2d6d26f0"},"schema_version":"1.0","source":{"id":"2311.10883","kind":"arxiv","version":1}},"canonical_sha256":"dce196cd673b41d44f95cd85822dcd6cc97a17f7bda74f5598007281fcb4b416","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dce196cd673b41d44f95cd85822dcd6cc97a17f7bda74f5598007281fcb4b416","first_computed_at":"2026-07-05T07:14:24.096602Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:14:24.096602Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ycw0aL+dz7cKM5xtQxpLfxr34aFqKRswfoGiQBoa092Y/F7a2kVjfax/836AiqC5pLBHHe3y6m98o7YYOyhmCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:14:24.097016Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.10883","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c035c9f45479ccb38a86f0e1a46a7a3a8f897db64074cd4115d1eb9eefdb58ff","sha256:8729f67155f128cc4ae81db3344874bd736e76728a0f2c75c211c428e04cf36e"],"state_sha256":"c17b960774a3a8323f4f63b746ef49a749de91f4f6563e37a9653129819dee5a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WmELpVxKILNqw//HmqxOg/AqmjIAEhw6UAx7uj1Z4n6SWV1zEzQMtEkUqLpKLRWnfpkb4hMiQOcfLYc31EUoCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T00:21:24.416736Z","bundle_sha256":"5a9a0a33ab190b1a2cd343b07a77e810abf7732055a35a323f6d574eb25a21ba"}}