{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:M472HQKLZKBPKVUBWN6J4BGKQA","short_pith_number":"pith:M472HQKL","canonical_record":{"source":{"id":"2212.07476","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2022-12-14T19:50:35Z","cross_cats_sorted":["cs.CL","cs.CV"],"title_canon_sha256":"75f3ec66d1b79fc77e6979e01c582e72399d07fbffc799780019e7fe93479051","abstract_canon_sha256":"f5ea6a0a72dec97e42a3c1b8e8dc7e4aa0cdbe676d82e5ed21a825f0e9948f2a"},"schema_version":"1.0"},"canonical_sha256":"673fa3c14bca82f55681b37c9e04ca8032d4d2333063a4106cb3e9f906402bd4","source":{"kind":"arxiv","id":"2212.07476","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.07476","created_at":"2026-07-05T05:34:50Z"},{"alias_kind":"arxiv_version","alias_value":"2212.07476v2","created_at":"2026-07-05T05:34:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.07476","created_at":"2026-07-05T05:34:50Z"},{"alias_kind":"pith_short_12","alias_value":"M472HQKLZKBP","created_at":"2026-07-05T05:34:50Z"},{"alias_kind":"pith_short_16","alias_value":"M472HQKLZKBPKVUB","created_at":"2026-07-05T05:34:50Z"},{"alias_kind":"pith_short_8","alias_value":"M472HQKL","created_at":"2026-07-05T05:34:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:M472HQKLZKBPKVUBWN6J4BGKQA","target":"record","payload":{"canonical_record":{"source":{"id":"2212.07476","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2022-12-14T19:50:35Z","cross_cats_sorted":["cs.CL","cs.CV"],"title_canon_sha256":"75f3ec66d1b79fc77e6979e01c582e72399d07fbffc799780019e7fe93479051","abstract_canon_sha256":"f5ea6a0a72dec97e42a3c1b8e8dc7e4aa0cdbe676d82e5ed21a825f0e9948f2a"},"schema_version":"1.0"},"canonical_sha256":"673fa3c14bca82f55681b37c9e04ca8032d4d2333063a4106cb3e9f906402bd4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:34:50.783777Z","signature_b64":"izTTL6Ym3OdM6PQmqGct2sUSxMBsRviqqL3P302LZ9vuL3aoA7+gYRAxNewT0LMdokfuVhAxrwYjHF6VeRhkAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"673fa3c14bca82f55681b37c9e04ca8032d4d2333063a4106cb3e9f906402bd4","last_reissued_at":"2026-07-05T05:34:50.783227Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:34:50.783227Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2212.07476","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:34:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OK3WfieZYIIkwGPccgUbdh20NHFkb3UutnAhUyl90k3HZaKiX8LJo/SviG7vLO8EUr7NpHBp+cXErbf/4VPQCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:18:46.945137Z"},"content_sha256":"0af1b7d17634af6fca092728c6eeb6a4a2092265c1fbd0173aa018307af837c0","schema_version":"1.0","event_id":"sha256:0af1b7d17634af6fca092728c6eeb6a4a2092265c1fbd0173aa018307af837c0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:M472HQKLZKBPKVUBWN6J4BGKQA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Infinite Index: Information Retrieval on Generative Text-To-Image Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.CV"],"primary_cat":"cs.IR","authors_text":"Benno Stein, Christopher Schr\\\"oder, Gianluca Pandolfo, Johannes Kiesel, Maik Fr\\\"obe, Martin Potthast, Niklas Deckers","submitted_at":"2022-12-14T19:50:35Z","abstract_excerpt":"Conditional generative models such as DALL-E and Stable Diffusion generate images based on a user-defined text, the prompt. Finding and refining prompts that produce a desired image has become the art of prompt engineering. Generative models do not provide a built-in retrieval model for a user's information need expressed through prompts. In light of an extensive literature review, we reframe prompt engineering for generative models as interactive text-based retrieval on a novel kind of \"infinite index\". We apply these insights for the first time in a case study on image generation for game de"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.07476","kind":"arxiv","version":2},"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/2212.07476/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":"2026-07-05T05:34:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y2NFTBOBD7j/K80AzbQsgi/vusBXvaeTPp3J9yITDfFH53uu7qvCRx+hL5r/KF+Idkq4u5kD4njLiy9Zvl2ZBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:18:46.946058Z"},"content_sha256":"f1b786f62f94779e38b7b95459fc78e9cc22c42b6af12c213b64e3c8b764d9de","schema_version":"1.0","event_id":"sha256:f1b786f62f94779e38b7b95459fc78e9cc22c42b6af12c213b64e3c8b764d9de"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M472HQKLZKBPKVUBWN6J4BGKQA/bundle.json","state_url":"https://pith.science/pith/M472HQKLZKBPKVUBWN6J4BGKQA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M472HQKLZKBPKVUBWN6J4BGKQA/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":"2026-08-10T20:18:46Z","links":{"resolver":"https://pith.science/pith/M472HQKLZKBPKVUBWN6J4BGKQA","bundle":"https://pith.science/pith/M472HQKLZKBPKVUBWN6J4BGKQA/bundle.json","state":"https://pith.science/pith/M472HQKLZKBPKVUBWN6J4BGKQA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M472HQKLZKBPKVUBWN6J4BGKQA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:M472HQKLZKBPKVUBWN6J4BGKQA","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":"f5ea6a0a72dec97e42a3c1b8e8dc7e4aa0cdbe676d82e5ed21a825f0e9948f2a","cross_cats_sorted":["cs.CL","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2022-12-14T19:50:35Z","title_canon_sha256":"75f3ec66d1b79fc77e6979e01c582e72399d07fbffc799780019e7fe93479051"},"schema_version":"1.0","source":{"id":"2212.07476","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.07476","created_at":"2026-07-05T05:34:50Z"},{"alias_kind":"arxiv_version","alias_value":"2212.07476v2","created_at":"2026-07-05T05:34:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.07476","created_at":"2026-07-05T05:34:50Z"},{"alias_kind":"pith_short_12","alias_value":"M472HQKLZKBP","created_at":"2026-07-05T05:34:50Z"},{"alias_kind":"pith_short_16","alias_value":"M472HQKLZKBPKVUB","created_at":"2026-07-05T05:34:50Z"},{"alias_kind":"pith_short_8","alias_value":"M472HQKL","created_at":"2026-07-05T05:34:50Z"}],"graph_snapshots":[{"event_id":"sha256:f1b786f62f94779e38b7b95459fc78e9cc22c42b6af12c213b64e3c8b764d9de","target":"graph","created_at":"2026-07-05T05:34:50Z","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/2212.07476/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conditional generative models such as DALL-E and Stable Diffusion generate images based on a user-defined text, the prompt. Finding and refining prompts that produce a desired image has become the art of prompt engineering. Generative models do not provide a built-in retrieval model for a user's information need expressed through prompts. In light of an extensive literature review, we reframe prompt engineering for generative models as interactive text-based retrieval on a novel kind of \"infinite index\". We apply these insights for the first time in a case study on image generation for game de","authors_text":"Benno Stein, Christopher Schr\\\"oder, Gianluca Pandolfo, Johannes Kiesel, Maik Fr\\\"obe, Martin Potthast, Niklas Deckers","cross_cats":["cs.CL","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2022-12-14T19:50:35Z","title":"The Infinite Index: Information Retrieval on Generative Text-To-Image Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.07476","kind":"arxiv","version":2},"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":"sha256:0af1b7d17634af6fca092728c6eeb6a4a2092265c1fbd0173aa018307af837c0","target":"record","created_at":"2026-07-05T05:34:50Z","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":"f5ea6a0a72dec97e42a3c1b8e8dc7e4aa0cdbe676d82e5ed21a825f0e9948f2a","cross_cats_sorted":["cs.CL","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2022-12-14T19:50:35Z","title_canon_sha256":"75f3ec66d1b79fc77e6979e01c582e72399d07fbffc799780019e7fe93479051"},"schema_version":"1.0","source":{"id":"2212.07476","kind":"arxiv","version":2}},"canonical_sha256":"673fa3c14bca82f55681b37c9e04ca8032d4d2333063a4106cb3e9f906402bd4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"673fa3c14bca82f55681b37c9e04ca8032d4d2333063a4106cb3e9f906402bd4","first_computed_at":"2026-07-05T05:34:50.783227Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:34:50.783227Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"izTTL6Ym3OdM6PQmqGct2sUSxMBsRviqqL3P302LZ9vuL3aoA7+gYRAxNewT0LMdokfuVhAxrwYjHF6VeRhkAg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:34:50.783777Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.07476","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0af1b7d17634af6fca092728c6eeb6a4a2092265c1fbd0173aa018307af837c0","sha256:f1b786f62f94779e38b7b95459fc78e9cc22c42b6af12c213b64e3c8b764d9de"],"state_sha256":"b53fb3f16ff25f6054e04c5cedcd87b25141242ec37309ad4c888133eb392772"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"skxvjy06W9LVL3zFGykRzoyMjg9/0NAqdeJjc6GZfhkhGC/9NG6UygPxRNDoRqnOY4LSJ5L0F8OAicbJIzdJCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T20:18:46.952145Z","bundle_sha256":"120d40a4d4ace565705eb4296e2dda797f7f7f674787d918929e022340a9f681"}}