{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:WVXSJAPZWLS4GI4NVLPX7TWVUL","short_pith_number":"pith:WVXSJAPZ","canonical_record":{"source":{"id":"2410.12844","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T19:51:38Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"008886f78c600109bf646a1ffb7397f4f972eaa2d40dc1bd76be6bc802b1b761","abstract_canon_sha256":"32e050825fe5e2c7dea954b746285b11d2e610a17af1b15b848d0d1be7742046"},"schema_version":"1.0"},"canonical_sha256":"b56f2481f9b2e5c3238daadf7fced5a2dfbd0ae692fa28f6cd546ac98c670ccd","source":{"kind":"arxiv","id":"2410.12844","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.12844","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"arxiv_version","alias_value":"2410.12844v1","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.12844","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"pith_short_12","alias_value":"WVXSJAPZWLS4","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"pith_short_16","alias_value":"WVXSJAPZWLS4GI4N","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"pith_short_8","alias_value":"WVXSJAPZ","created_at":"2026-07-05T09:21:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:WVXSJAPZWLS4GI4NVLPX7TWVUL","target":"record","payload":{"canonical_record":{"source":{"id":"2410.12844","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T19:51:38Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"008886f78c600109bf646a1ffb7397f4f972eaa2d40dc1bd76be6bc802b1b761","abstract_canon_sha256":"32e050825fe5e2c7dea954b746285b11d2e610a17af1b15b848d0d1be7742046"},"schema_version":"1.0"},"canonical_sha256":"b56f2481f9b2e5c3238daadf7fced5a2dfbd0ae692fa28f6cd546ac98c670ccd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:21:51.776807Z","signature_b64":"cutLDFiqIAw6JOSputvqpFW3P2FBly7TXM9TnQ5GYmOYL2IfKpr3zBeyWGYF2FxLzl1hj+4vzW/n0Y/jEYWLBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b56f2481f9b2e5c3238daadf7fced5a2dfbd0ae692fa28f6cd546ac98c670ccd","last_reissued_at":"2026-07-05T09:21:51.776340Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:21:51.776340Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.12844","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":"2026-07-05T09:21:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tjD8xpGUkLGPAEly+xyw7VTNWzvAsCIkCpQgOlu7vCSk+mU+N2frAESIKOy/09k+qqK/vCdWkPxWSHSMfkUfAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:53:28.038163Z"},"content_sha256":"38fd1dc6e95f2db6a6da1c7cebbbfb3ff8780c35d557a028620d90b7b2a9a7fa","schema_version":"1.0","event_id":"sha256:38fd1dc6e95f2db6a6da1c7cebbbfb3ff8780c35d557a028620d90b7b2a9a7fa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:WVXSJAPZWLS4GI4NVLPX7TWVUL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TextLap: Customizing Language Models for Text-to-Layout Planning","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Changyou Chen, Jennifer Healey, Jian Chen, Jiuxiang Gu, Ruiyi Zhang, Yufan Zhou, Zhiqiang Xu","submitted_at":"2024-10-09T19:51:38Z","abstract_excerpt":"Automatic generation of graphical layouts is crucial for many real-world applications, including designing posters, flyers, advertisements, and graphical user interfaces. Given the incredible ability of Large language models (LLMs) in both natural language understanding and generation, we believe that we could customize an LLM to help people create compelling graphical layouts starting with only text instructions from the user. We call our method TextLap (text-based layout planning). It uses a curated instruction-based layout planning dataset (InsLap) to customize LLMs as a graphic designer. W"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.12844","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/2410.12844/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":"2026-07-05T09:21:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e1AYFrlWcAQDZWnP9RHEp9wj3FI8+IcVf/iQAqq7RsmHxWqGqwgdK7iIg09klVWiMlqWFFbjYdnR9iu7cVBODg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:53:28.038688Z"},"content_sha256":"43d1e992798f990f910e464ffa8d4d706c96c9ae74cca6841604a025d2b6a841","schema_version":"1.0","event_id":"sha256:43d1e992798f990f910e464ffa8d4d706c96c9ae74cca6841604a025d2b6a841"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WVXSJAPZWLS4GI4NVLPX7TWVUL/bundle.json","state_url":"https://pith.science/pith/WVXSJAPZWLS4GI4NVLPX7TWVUL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WVXSJAPZWLS4GI4NVLPX7TWVUL/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":"2026-08-07T10:53:28Z","links":{"resolver":"https://pith.science/pith/WVXSJAPZWLS4GI4NVLPX7TWVUL","bundle":"https://pith.science/pith/WVXSJAPZWLS4GI4NVLPX7TWVUL/bundle.json","state":"https://pith.science/pith/WVXSJAPZWLS4GI4NVLPX7TWVUL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WVXSJAPZWLS4GI4NVLPX7TWVUL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WVXSJAPZWLS4GI4NVLPX7TWVUL","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":"32e050825fe5e2c7dea954b746285b11d2e610a17af1b15b848d0d1be7742046","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T19:51:38Z","title_canon_sha256":"008886f78c600109bf646a1ffb7397f4f972eaa2d40dc1bd76be6bc802b1b761"},"schema_version":"1.0","source":{"id":"2410.12844","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.12844","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"arxiv_version","alias_value":"2410.12844v1","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.12844","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"pith_short_12","alias_value":"WVXSJAPZWLS4","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"pith_short_16","alias_value":"WVXSJAPZWLS4GI4N","created_at":"2026-07-05T09:21:51Z"},{"alias_kind":"pith_short_8","alias_value":"WVXSJAPZ","created_at":"2026-07-05T09:21:51Z"}],"graph_snapshots":[{"event_id":"sha256:43d1e992798f990f910e464ffa8d4d706c96c9ae74cca6841604a025d2b6a841","target":"graph","created_at":"2026-07-05T09:21:51Z","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/2410.12844/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatic generation of graphical layouts is crucial for many real-world applications, including designing posters, flyers, advertisements, and graphical user interfaces. Given the incredible ability of Large language models (LLMs) in both natural language understanding and generation, we believe that we could customize an LLM to help people create compelling graphical layouts starting with only text instructions from the user. We call our method TextLap (text-based layout planning). It uses a curated instruction-based layout planning dataset (InsLap) to customize LLMs as a graphic designer. W","authors_text":"Changyou Chen, Jennifer Healey, Jian Chen, Jiuxiang Gu, Ruiyi Zhang, Yufan Zhou, Zhiqiang Xu","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T19:51:38Z","title":"TextLap: Customizing Language Models for Text-to-Layout Planning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.12844","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":"sha256:38fd1dc6e95f2db6a6da1c7cebbbfb3ff8780c35d557a028620d90b7b2a9a7fa","target":"record","created_at":"2026-07-05T09:21:51Z","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":"32e050825fe5e2c7dea954b746285b11d2e610a17af1b15b848d0d1be7742046","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T19:51:38Z","title_canon_sha256":"008886f78c600109bf646a1ffb7397f4f972eaa2d40dc1bd76be6bc802b1b761"},"schema_version":"1.0","source":{"id":"2410.12844","kind":"arxiv","version":1}},"canonical_sha256":"b56f2481f9b2e5c3238daadf7fced5a2dfbd0ae692fa28f6cd546ac98c670ccd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b56f2481f9b2e5c3238daadf7fced5a2dfbd0ae692fa28f6cd546ac98c670ccd","first_computed_at":"2026-07-05T09:21:51.776340Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:21:51.776340Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cutLDFiqIAw6JOSputvqpFW3P2FBly7TXM9TnQ5GYmOYL2IfKpr3zBeyWGYF2FxLzl1hj+4vzW/n0Y/jEYWLBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:21:51.776807Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.12844","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:38fd1dc6e95f2db6a6da1c7cebbbfb3ff8780c35d557a028620d90b7b2a9a7fa","sha256:43d1e992798f990f910e464ffa8d4d706c96c9ae74cca6841604a025d2b6a841"],"state_sha256":"fd14575f018b78b2157d300485849f7503b4491ba87d0beeabf4ae5a6165064b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vH44hktTelQ45hRk9e7a061Ts0FQ8CnstGkraLcmTxsPgjkDrGztzWIJ/PHPN7za5ieRwamUB+bsoWBlGKfnCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T10:53:28.044134Z","bundle_sha256":"06104c6dd54863e02ffb7a5438dfc2f0af7fc7046c4c763b4d15209d0b9baca0"}}