{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:PCFTBJRTETOP6VGA7UIWRTQZU6","short_pith_number":"pith:PCFTBJRT","canonical_record":{"source":{"id":"2211.17115","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-30T15:57:56Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"07cdf89a23105a47dbf0293090f1b5c4fe4de0516d57beda15e17aa7f30c9094","abstract_canon_sha256":"9b0c8cd4ded9b75283b03e35beb0b9ef68d614118bb31ba7f34e42fb7b8f2b57"},"schema_version":"1.0"},"canonical_sha256":"788b30a63324dcff54c0fd1168ce19a79fa9d68d4ae1a685394717f3a6b4d0e7","source":{"kind":"arxiv","id":"2211.17115","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.17115","created_at":"2026-07-05T05:21:15Z"},{"alias_kind":"arxiv_version","alias_value":"2211.17115v1","created_at":"2026-07-05T05:21:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.17115","created_at":"2026-07-05T05:21:15Z"},{"alias_kind":"pith_short_12","alias_value":"PCFTBJRTETOP","created_at":"2026-07-05T05:21:15Z"},{"alias_kind":"pith_short_16","alias_value":"PCFTBJRTETOP6VGA","created_at":"2026-07-05T05:21:15Z"},{"alias_kind":"pith_short_8","alias_value":"PCFTBJRT","created_at":"2026-07-05T05:21:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:PCFTBJRTETOP6VGA7UIWRTQZU6","target":"record","payload":{"canonical_record":{"source":{"id":"2211.17115","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-30T15:57:56Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"07cdf89a23105a47dbf0293090f1b5c4fe4de0516d57beda15e17aa7f30c9094","abstract_canon_sha256":"9b0c8cd4ded9b75283b03e35beb0b9ef68d614118bb31ba7f34e42fb7b8f2b57"},"schema_version":"1.0"},"canonical_sha256":"788b30a63324dcff54c0fd1168ce19a79fa9d68d4ae1a685394717f3a6b4d0e7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:21:15.259294Z","signature_b64":"wovncRXQsi7QcLXt8J8GEutDpSeEYJBdwJ36vUrTfAgkeJYoguamvXs2s2TVagaJgJ59Fx0dK2uyb5RJsq7/BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"788b30a63324dcff54c0fd1168ce19a79fa9d68d4ae1a685394717f3a6b4d0e7","last_reissued_at":"2026-07-05T05:21:15.258737Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:21:15.258737Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.17115","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":"2026-07-05T05:21:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KPXYqAkOrbRMZ2IkALO6VDG9y37UR5OsjArm7gRnLso5Ns8FiMcaAnFunxOWvVmT4EGrveyJ4vfZ3vyhN2+xCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T17:00:40.942797Z"},"content_sha256":"d2140ad6fe0aed07291f19883791e1171757214e0da99cb7737d3c0561cdd7ab","schema_version":"1.0","event_id":"sha256:d2140ad6fe0aed07291f19883791e1171757214e0da99cb7737d3c0561cdd7ab"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:PCFTBJRTETOP6VGA7UIWRTQZU6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multiresolution Textual Inversion","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Alexandros G. Dimakis, Giannis Daras","submitted_at":"2022-11-30T15:57:56Z","abstract_excerpt":"We extend Textual Inversion to learn pseudo-words that represent a concept at different resolutions. This allows us to generate images that use the concept with different levels of detail and also to manipulate different resolutions using language. Once learned, the user can generate images at different levels of agreement to the original concept; \"A photo of $S^*(0)$\" produces the exact object while the prompt \"A photo of $S^*(0.8)$\" only matches the rough outlines and colors. Our framework allows us to generate images that use different resolutions of an image (e.g. details, textures, styles"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.17115","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/2211.17115/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":"2026-07-05T05:21:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/NJFXhDEJ8kCMSBkwBmG/RjXOCk0h1E+PlirX6L4TU8ftkp1g1xrtP5aVTWWOO00tEAQRmARZGpzUDi9ysr3Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T17:00:40.943137Z"},"content_sha256":"bac34b221d106de9695a0c87759f6fcc01b0ad15699de47eb732eb9af5b94afd","schema_version":"1.0","event_id":"sha256:bac34b221d106de9695a0c87759f6fcc01b0ad15699de47eb732eb9af5b94afd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PCFTBJRTETOP6VGA7UIWRTQZU6/bundle.json","state_url":"https://pith.science/pith/PCFTBJRTETOP6VGA7UIWRTQZU6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PCFTBJRTETOP6VGA7UIWRTQZU6/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":"2026-08-13T17:00:40Z","links":{"resolver":"https://pith.science/pith/PCFTBJRTETOP6VGA7UIWRTQZU6","bundle":"https://pith.science/pith/PCFTBJRTETOP6VGA7UIWRTQZU6/bundle.json","state":"https://pith.science/pith/PCFTBJRTETOP6VGA7UIWRTQZU6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PCFTBJRTETOP6VGA7UIWRTQZU6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:PCFTBJRTETOP6VGA7UIWRTQZU6","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":"9b0c8cd4ded9b75283b03e35beb0b9ef68d614118bb31ba7f34e42fb7b8f2b57","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-30T15:57:56Z","title_canon_sha256":"07cdf89a23105a47dbf0293090f1b5c4fe4de0516d57beda15e17aa7f30c9094"},"schema_version":"1.0","source":{"id":"2211.17115","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.17115","created_at":"2026-07-05T05:21:15Z"},{"alias_kind":"arxiv_version","alias_value":"2211.17115v1","created_at":"2026-07-05T05:21:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.17115","created_at":"2026-07-05T05:21:15Z"},{"alias_kind":"pith_short_12","alias_value":"PCFTBJRTETOP","created_at":"2026-07-05T05:21:15Z"},{"alias_kind":"pith_short_16","alias_value":"PCFTBJRTETOP6VGA","created_at":"2026-07-05T05:21:15Z"},{"alias_kind":"pith_short_8","alias_value":"PCFTBJRT","created_at":"2026-07-05T05:21:15Z"}],"graph_snapshots":[{"event_id":"sha256:bac34b221d106de9695a0c87759f6fcc01b0ad15699de47eb732eb9af5b94afd","target":"graph","created_at":"2026-07-05T05:21:15Z","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/2211.17115/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We extend Textual Inversion to learn pseudo-words that represent a concept at different resolutions. This allows us to generate images that use the concept with different levels of detail and also to manipulate different resolutions using language. Once learned, the user can generate images at different levels of agreement to the original concept; \"A photo of $S^*(0)$\" produces the exact object while the prompt \"A photo of $S^*(0.8)$\" only matches the rough outlines and colors. Our framework allows us to generate images that use different resolutions of an image (e.g. details, textures, styles","authors_text":"Alexandros G. Dimakis, Giannis Daras","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-30T15:57:56Z","title":"Multiresolution Textual Inversion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.17115","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:d2140ad6fe0aed07291f19883791e1171757214e0da99cb7737d3c0561cdd7ab","target":"record","created_at":"2026-07-05T05:21:15Z","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":"9b0c8cd4ded9b75283b03e35beb0b9ef68d614118bb31ba7f34e42fb7b8f2b57","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-30T15:57:56Z","title_canon_sha256":"07cdf89a23105a47dbf0293090f1b5c4fe4de0516d57beda15e17aa7f30c9094"},"schema_version":"1.0","source":{"id":"2211.17115","kind":"arxiv","version":1}},"canonical_sha256":"788b30a63324dcff54c0fd1168ce19a79fa9d68d4ae1a685394717f3a6b4d0e7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"788b30a63324dcff54c0fd1168ce19a79fa9d68d4ae1a685394717f3a6b4d0e7","first_computed_at":"2026-07-05T05:21:15.258737Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:21:15.258737Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wovncRXQsi7QcLXt8J8GEutDpSeEYJBdwJ36vUrTfAgkeJYoguamvXs2s2TVagaJgJ59Fx0dK2uyb5RJsq7/BA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:21:15.259294Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.17115","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d2140ad6fe0aed07291f19883791e1171757214e0da99cb7737d3c0561cdd7ab","sha256:bac34b221d106de9695a0c87759f6fcc01b0ad15699de47eb732eb9af5b94afd"],"state_sha256":"06ca06b9eb5ed41ea2258a7c4a73cf31a15dbe7333c7dfe862d944ffdde82844"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WhmncxcPCpZcdxmev43jHNEQ2qYF+c7GLYHFWUTj8RAYr35wCoAFY4HPNwIA9qEeTstlj40EE9H6WwY+gLcGDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T17:00:40.947188Z","bundle_sha256":"0c95f60170d32bbbf035e308f7b23e1d6931aa09a99495bfa41dff0d5b558c7b"}}