{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:LQSPNCQXVIZ7BTZNJWPEFRWQPJ","short_pith_number":"pith:LQSPNCQX","canonical_record":{"source":{"id":"2307.08985","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2023-07-18T05:51:00Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0d61854782a2fe100d6b2676b447089683ce8f658316ddc88cabd92c18c20498","abstract_canon_sha256":"ed5bae7a22c1f368e3f57f58a1c9e4a0fe463c87b73f0f465e857b832bdca4da"},"schema_version":"1.0"},"canonical_sha256":"5c24f68a17aa33f0cf2d4d9e42c6d07a69eae19dcd872ce2b8a504439d6e7ccd","source":{"kind":"arxiv","id":"2307.08985","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.08985","created_at":"2026-07-05T06:31:37Z"},{"alias_kind":"arxiv_version","alias_value":"2307.08985v1","created_at":"2026-07-05T06:31:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.08985","created_at":"2026-07-05T06:31:37Z"},{"alias_kind":"pith_short_12","alias_value":"LQSPNCQXVIZ7","created_at":"2026-07-05T06:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"LQSPNCQXVIZ7BTZN","created_at":"2026-07-05T06:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"LQSPNCQX","created_at":"2026-07-05T06:31:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:LQSPNCQXVIZ7BTZNJWPEFRWQPJ","target":"record","payload":{"canonical_record":{"source":{"id":"2307.08985","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2023-07-18T05:51:00Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0d61854782a2fe100d6b2676b447089683ce8f658316ddc88cabd92c18c20498","abstract_canon_sha256":"ed5bae7a22c1f368e3f57f58a1c9e4a0fe463c87b73f0f465e857b832bdca4da"},"schema_version":"1.0"},"canonical_sha256":"5c24f68a17aa33f0cf2d4d9e42c6d07a69eae19dcd872ce2b8a504439d6e7ccd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:31:37.264411Z","signature_b64":"yCyosbf2J7QZRtguh2r60fNRo1gJzAdcfbpLysJ6xo+u/RbGY2E9BTbees/JWVwi4K44g0ANP83pZrImLEpHDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c24f68a17aa33f0cf2d4d9e42c6d07a69eae19dcd872ce2b8a504439d6e7ccd","last_reissued_at":"2026-07-05T06:31:37.263855Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:31:37.263855Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.08985","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":"2026-07-05T06:31:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/B34RlvzUQTkA6LJ71DHNJdPtv9dPkjGy5YZ0pCzRLp4x2JdIFPCqEvD7e4AH64H3S+T9itFc4GrjwAz2VYSCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T15:19:16.684738Z"},"content_sha256":"d4a7ebd6d7a7b1e929daa7348e4ca7575f811c5e101c266397a2c66ca57f5a5d","schema_version":"1.0","event_id":"sha256:d4a7ebd6d7a7b1e929daa7348e4ca7575f811c5e101c266397a2c66ca57f5a5d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:LQSPNCQXVIZ7BTZNJWPEFRWQPJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PromptCrafter: Crafting Text-to-Image Prompt through Mixed-Initiative Dialogue with LLM","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"Hyerin Im, Jiseung Ryu, Juhyeong Park, Seungho Baek, Takyeon Lee","submitted_at":"2023-07-18T05:51:00Z","abstract_excerpt":"Text-to-image generation model is able to generate images across a diverse range of subjects and styles based on a single prompt. Recent works have proposed a variety of interaction methods that help users understand the capabilities of models and utilize them. However, how to support users to efficiently explore the model's capability and to create effective prompts are still open-ended research questions. In this paper, we present PromptCrafter, a novel mixed-initiative system that allows step-by-step crafting of text-to-image prompt. Through the iterative process, users can efficiently expl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.08985","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/2307.08985/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":"2026-07-05T06:31:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eRIKfljE+MwTDbKTi2XDD3T6gO5MAqDX4OA8zU8oC/QfNOsveNq9gcFmDVamHxJt5toklWnewYLwLsQhMgCHCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T15:19:16.685293Z"},"content_sha256":"df855736f6e76c66722fa8ac9feb7502c89cded3cb00a58d864ab40b9e4b5ff3","schema_version":"1.0","event_id":"sha256:df855736f6e76c66722fa8ac9feb7502c89cded3cb00a58d864ab40b9e4b5ff3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LQSPNCQXVIZ7BTZNJWPEFRWQPJ/bundle.json","state_url":"https://pith.science/pith/LQSPNCQXVIZ7BTZNJWPEFRWQPJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LQSPNCQXVIZ7BTZNJWPEFRWQPJ/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":"2026-08-10T15:19:16Z","links":{"resolver":"https://pith.science/pith/LQSPNCQXVIZ7BTZNJWPEFRWQPJ","bundle":"https://pith.science/pith/LQSPNCQXVIZ7BTZNJWPEFRWQPJ/bundle.json","state":"https://pith.science/pith/LQSPNCQXVIZ7BTZNJWPEFRWQPJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LQSPNCQXVIZ7BTZNJWPEFRWQPJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:LQSPNCQXVIZ7BTZNJWPEFRWQPJ","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":"ed5bae7a22c1f368e3f57f58a1c9e4a0fe463c87b73f0f465e857b832bdca4da","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2023-07-18T05:51:00Z","title_canon_sha256":"0d61854782a2fe100d6b2676b447089683ce8f658316ddc88cabd92c18c20498"},"schema_version":"1.0","source":{"id":"2307.08985","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.08985","created_at":"2026-07-05T06:31:37Z"},{"alias_kind":"arxiv_version","alias_value":"2307.08985v1","created_at":"2026-07-05T06:31:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.08985","created_at":"2026-07-05T06:31:37Z"},{"alias_kind":"pith_short_12","alias_value":"LQSPNCQXVIZ7","created_at":"2026-07-05T06:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"LQSPNCQXVIZ7BTZN","created_at":"2026-07-05T06:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"LQSPNCQX","created_at":"2026-07-05T06:31:37Z"}],"graph_snapshots":[{"event_id":"sha256:df855736f6e76c66722fa8ac9feb7502c89cded3cb00a58d864ab40b9e4b5ff3","target":"graph","created_at":"2026-07-05T06:31:37Z","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/2307.08985/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text-to-image generation model is able to generate images across a diverse range of subjects and styles based on a single prompt. Recent works have proposed a variety of interaction methods that help users understand the capabilities of models and utilize them. However, how to support users to efficiently explore the model's capability and to create effective prompts are still open-ended research questions. In this paper, we present PromptCrafter, a novel mixed-initiative system that allows step-by-step crafting of text-to-image prompt. Through the iterative process, users can efficiently expl","authors_text":"Hyerin Im, Jiseung Ryu, Juhyeong Park, Seungho Baek, Takyeon Lee","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2023-07-18T05:51:00Z","title":"PromptCrafter: Crafting Text-to-Image Prompt through Mixed-Initiative Dialogue with LLM"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.08985","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:d4a7ebd6d7a7b1e929daa7348e4ca7575f811c5e101c266397a2c66ca57f5a5d","target":"record","created_at":"2026-07-05T06:31:37Z","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":"ed5bae7a22c1f368e3f57f58a1c9e4a0fe463c87b73f0f465e857b832bdca4da","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2023-07-18T05:51:00Z","title_canon_sha256":"0d61854782a2fe100d6b2676b447089683ce8f658316ddc88cabd92c18c20498"},"schema_version":"1.0","source":{"id":"2307.08985","kind":"arxiv","version":1}},"canonical_sha256":"5c24f68a17aa33f0cf2d4d9e42c6d07a69eae19dcd872ce2b8a504439d6e7ccd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c24f68a17aa33f0cf2d4d9e42c6d07a69eae19dcd872ce2b8a504439d6e7ccd","first_computed_at":"2026-07-05T06:31:37.263855Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:31:37.263855Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yCyosbf2J7QZRtguh2r60fNRo1gJzAdcfbpLysJ6xo+u/RbGY2E9BTbees/JWVwi4K44g0ANP83pZrImLEpHDg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:31:37.264411Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.08985","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d4a7ebd6d7a7b1e929daa7348e4ca7575f811c5e101c266397a2c66ca57f5a5d","sha256:df855736f6e76c66722fa8ac9feb7502c89cded3cb00a58d864ab40b9e4b5ff3"],"state_sha256":"69cdb2d109d2dc8d7c2129654a417cc6be49586d7d065091e08f8f2a64d1a40e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5z3QwxIgJ2inR40CpKuxXUMZPNp4s06kzuz+jqZ8jZKv/LYQcfV6LSZMkuWEjg1lyP7o1yQQHFxvzK2QjpRXDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T15:19:16.690568Z","bundle_sha256":"2760e974e6a51f55a4bd0fa3c1243488e07ad3767b6992abd03d5587eca35fc2"}}