{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:FVEKRRAB5GKVMULQZMALF62SSO","short_pith_number":"pith:FVEKRRAB","canonical_record":{"source":{"id":"1811.11938","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-29T02:55:25Z","cross_cats_sorted":[],"title_canon_sha256":"33d6b65affbbecdab40915821aad770dbb87959d20cea7ec6defe067a2cb843c","abstract_canon_sha256":"3e74486fe7660b758fc02660785ba255216fff78ef4ec6efef15cfed25073f03"},"schema_version":"1.0"},"canonical_sha256":"2d48a8c401e995565170cb00b2fb5293baf02e04544a86ec03d8137b60292319","source":{"kind":"arxiv","id":"1811.11938","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.11938","created_at":"2026-05-17T23:59:35Z"},{"alias_kind":"arxiv_version","alias_value":"1811.11938v1","created_at":"2026-05-17T23:59:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.11938","created_at":"2026-05-17T23:59:35Z"},{"alias_kind":"pith_short_12","alias_value":"FVEKRRAB5GKV","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_16","alias_value":"FVEKRRAB5GKVMULQ","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_8","alias_value":"FVEKRRAB","created_at":"2026-05-18T12:32:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:FVEKRRAB5GKVMULQZMALF62SSO","target":"record","payload":{"canonical_record":{"source":{"id":"1811.11938","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-29T02:55:25Z","cross_cats_sorted":[],"title_canon_sha256":"33d6b65affbbecdab40915821aad770dbb87959d20cea7ec6defe067a2cb843c","abstract_canon_sha256":"3e74486fe7660b758fc02660785ba255216fff78ef4ec6efef15cfed25073f03"},"schema_version":"1.0"},"canonical_sha256":"2d48a8c401e995565170cb00b2fb5293baf02e04544a86ec03d8137b60292319","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:59:35.069456Z","signature_b64":"Y/WB1xHHqpJJWa7dvHRvi5NkBXNl9y6KJtcWHWZN/8eRgFPXrZ8dLkmbHt5MnugY5TWROBTJhSIknDrQbwW8AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2d48a8c401e995565170cb00b2fb5293baf02e04544a86ec03d8137b60292319","last_reissued_at":"2026-05-17T23:59:35.068840Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:59:35.068840Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.11938","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":"2026-05-17T23:59:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c/h6JUnLg/W2DvWXofs/FdxVfcKxFQW157rDeCsKgl9yEIh/dTd2WAcwI3/SvB8I0qUjvrCsyDtSBDbfFdIeBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T20:01:05.164834Z"},"content_sha256":"4eca21b4d237792a250aac1a68a15f38e86827f4c75bff2d2e2ab4bc466a4342","schema_version":"1.0","event_id":"sha256:4eca21b4d237792a250aac1a68a15f38e86827f4c75bff2d2e2ab4bc466a4342"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:FVEKRRAB5GKVMULQZMALF62SSO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automatic Rendering of Building Floor Plan Images from Textual Descriptions in English","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anurag Sanyal, Chiranjoy Chattopadhyay, Gaurav Bhatnagar, Mahak Jain, Shreya Goyal","submitted_at":"2018-11-29T02:55:25Z","abstract_excerpt":"Human beings understand natural language description and could able to imagine a corresponding visual for the same. For example, given a description of the interior of a house, we could imagine its structure and arrangements of furniture. Automatic synthesis of real-world images from text descriptions has been explored in the computer vision community. However, there is no such attempt in the area of document images, like floor plans. Floor plan synthesis from sketches, as well as data-driven models, were proposed earlier. Ours is the first attempt to render building floor plan images from tex"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.11938","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":""},"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":"2026-05-17T23:59:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BVKTUG163ZTqx0L5lhGVf/eba+JsgAjQ+11B/kB3Tp8rrODA7/mjtaaKf7NEDFQQCl+PGNgEf20JZk2HYMTABg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T20:01:05.165298Z"},"content_sha256":"1155e9681c1ced09763fcc2862eb545b5dee5bf034ded673164b55c5b46bdb11","schema_version":"1.0","event_id":"sha256:1155e9681c1ced09763fcc2862eb545b5dee5bf034ded673164b55c5b46bdb11"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FVEKRRAB5GKVMULQZMALF62SSO/bundle.json","state_url":"https://pith.science/pith/FVEKRRAB5GKVMULQZMALF62SSO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FVEKRRAB5GKVMULQZMALF62SSO/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":"2026-05-19T20:01:05Z","links":{"resolver":"https://pith.science/pith/FVEKRRAB5GKVMULQZMALF62SSO","bundle":"https://pith.science/pith/FVEKRRAB5GKVMULQZMALF62SSO/bundle.json","state":"https://pith.science/pith/FVEKRRAB5GKVMULQZMALF62SSO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FVEKRRAB5GKVMULQZMALF62SSO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:FVEKRRAB5GKVMULQZMALF62SSO","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":"3e74486fe7660b758fc02660785ba255216fff78ef4ec6efef15cfed25073f03","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-29T02:55:25Z","title_canon_sha256":"33d6b65affbbecdab40915821aad770dbb87959d20cea7ec6defe067a2cb843c"},"schema_version":"1.0","source":{"id":"1811.11938","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.11938","created_at":"2026-05-17T23:59:35Z"},{"alias_kind":"arxiv_version","alias_value":"1811.11938v1","created_at":"2026-05-17T23:59:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.11938","created_at":"2026-05-17T23:59:35Z"},{"alias_kind":"pith_short_12","alias_value":"FVEKRRAB5GKV","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_16","alias_value":"FVEKRRAB5GKVMULQ","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_8","alias_value":"FVEKRRAB","created_at":"2026-05-18T12:32:25Z"}],"graph_snapshots":[{"event_id":"sha256:1155e9681c1ced09763fcc2862eb545b5dee5bf034ded673164b55c5b46bdb11","target":"graph","created_at":"2026-05-17T23:59:35Z","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"},"paper":{"abstract_excerpt":"Human beings understand natural language description and could able to imagine a corresponding visual for the same. For example, given a description of the interior of a house, we could imagine its structure and arrangements of furniture. Automatic synthesis of real-world images from text descriptions has been explored in the computer vision community. However, there is no such attempt in the area of document images, like floor plans. Floor plan synthesis from sketches, as well as data-driven models, were proposed earlier. Ours is the first attempt to render building floor plan images from tex","authors_text":"Anurag Sanyal, Chiranjoy Chattopadhyay, Gaurav Bhatnagar, Mahak Jain, Shreya Goyal","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-29T02:55:25Z","title":"Automatic Rendering of Building Floor Plan Images from Textual Descriptions in English"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.11938","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":"sha256:4eca21b4d237792a250aac1a68a15f38e86827f4c75bff2d2e2ab4bc466a4342","target":"record","created_at":"2026-05-17T23:59:35Z","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":"3e74486fe7660b758fc02660785ba255216fff78ef4ec6efef15cfed25073f03","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-29T02:55:25Z","title_canon_sha256":"33d6b65affbbecdab40915821aad770dbb87959d20cea7ec6defe067a2cb843c"},"schema_version":"1.0","source":{"id":"1811.11938","kind":"arxiv","version":1}},"canonical_sha256":"2d48a8c401e995565170cb00b2fb5293baf02e04544a86ec03d8137b60292319","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2d48a8c401e995565170cb00b2fb5293baf02e04544a86ec03d8137b60292319","first_computed_at":"2026-05-17T23:59:35.068840Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:35.068840Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y/WB1xHHqpJJWa7dvHRvi5NkBXNl9y6KJtcWHWZN/8eRgFPXrZ8dLkmbHt5MnugY5TWROBTJhSIknDrQbwW8AA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:35.069456Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.11938","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4eca21b4d237792a250aac1a68a15f38e86827f4c75bff2d2e2ab4bc466a4342","sha256:1155e9681c1ced09763fcc2862eb545b5dee5bf034ded673164b55c5b46bdb11"],"state_sha256":"04913e745e1930b962f0ecfef8aa9eafa976ba504e9d4569a34954bba98c576c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qCCJK0YDxT9gPDN0YftN8jlB5AjTpbcFcuP+mjwdIc9oCKX7b2uj0E2uDMiDLkRbfNSvbe1twadETqJJ/jjZCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-19T20:01:05.167355Z","bundle_sha256":"0dcde0d9fff65adc7b487933493a309f3b4be057a293047480b3f4145b3a037f"}}