{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:OY53IIZ5C3H5RRCAPWZZ3AN5CG","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":"71c7e58916ba8c46caea13cba0c5729df73ab7892524ecec09672a21b433e2c9","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-16T16:22:31Z","title_canon_sha256":"6fd7fb623cb46990dab15e055f61c4ab4abb93e69d167bc51fc713859deee183"},"schema_version":"1.0","source":{"id":"2103.09174","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.09174","created_at":"2026-07-05T03:26:39Z"},{"alias_kind":"arxiv_version","alias_value":"2103.09174v3","created_at":"2026-07-05T03:26:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.09174","created_at":"2026-07-05T03:26:39Z"},{"alias_kind":"pith_short_12","alias_value":"OY53IIZ5C3H5","created_at":"2026-07-05T03:26:39Z"},{"alias_kind":"pith_short_16","alias_value":"OY53IIZ5C3H5RRCA","created_at":"2026-07-05T03:26:39Z"},{"alias_kind":"pith_short_8","alias_value":"OY53IIZ5","created_at":"2026-07-05T03:26:39Z"}],"graph_snapshots":[{"event_id":"sha256:95433e43eb9fa6958a317354609025d9277a6652c41c908cd366fe13a5a584bf","target":"graph","created_at":"2026-07-05T03:26:39Z","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/2103.09174/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Given a monocular colour image of a warehouse rack, we aim to predict the bird's-eye view layout for each shelf in the rack, which we term as multi-layer layout prediction. To this end, we present RackLay, a deep neural network for real-time shelf layout estimation from a single image. Unlike previous layout estimation methods, which provide a single layout for the dominant ground plane alone, RackLay estimates the top-view and front-view layout for each shelf in the considered rack populated with objects. RackLay's architecture and its variants are versatile and estimate accurate layouts for ","authors_text":"Anurag Sahu, Avinash Prabhu, K. Madhava Krishna, Meher Shashwat Nigam, N. Sai Shankar, Puru Gupta, Ravi Kiran Sarvadevabhatla, Tanvi Karandikar","cross_cats":["cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-16T16:22:31Z","title":"Monocular Multi-Layer Layout Estimation for Warehouse Racks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.09174","kind":"arxiv","version":3},"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":"sha256:3a1eec0d504a69bf5282e1e63a0447f5c4550beac3a6298dfec957ba6e2875c5","target":"record","created_at":"2026-07-05T03:26:39Z","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":"71c7e58916ba8c46caea13cba0c5729df73ab7892524ecec09672a21b433e2c9","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-16T16:22:31Z","title_canon_sha256":"6fd7fb623cb46990dab15e055f61c4ab4abb93e69d167bc51fc713859deee183"},"schema_version":"1.0","source":{"id":"2103.09174","kind":"arxiv","version":3}},"canonical_sha256":"763bb4233d16cfd8c4407db39d81bd119e7754add1779c3d92872ae7651365d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"763bb4233d16cfd8c4407db39d81bd119e7754add1779c3d92872ae7651365d0","first_computed_at":"2026-07-05T03:26:39.750831Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:26:39.750831Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HKWMHki4WNtvO4cHPPMHW77I11KqO7paf4wJF7BfkosyZjbHjFs6uZ3wtdN3DR9k4j6DomZxRcYDdOHaQKgXAA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:26:39.751393Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.09174","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3a1eec0d504a69bf5282e1e63a0447f5c4550beac3a6298dfec957ba6e2875c5","sha256:95433e43eb9fa6958a317354609025d9277a6652c41c908cd366fe13a5a584bf"],"state_sha256":"046669325e313afa391534a0c9c22d4245a5bbaeead0cb7f693df01fc918813c"}