{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:RJC6OMOJGSQ2XOBNFI6VOS562U","short_pith_number":"pith:RJC6OMOJ","schema_version":"1.0","canonical_sha256":"8a45e731c934a1abb82d2a3d574bbed502069aebfbe1d6cb13f22f11ff809be9","source":{"kind":"arxiv","id":"2304.03253","version":3},"attestation_state":"computed","paper":{"title":"ImageEye: Batch Image Processing Using Program Synthesis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.PL","authors_text":"Celeste Barnaby, Isil Dillig, Qiaochu Chen, Roopsha Samanta","submitted_at":"2023-04-06T17:38:34Z","abstract_excerpt":"This paper presents a new synthesis-based approach for batch image processing. Unlike existing tools that can only apply global edits to the entire image, our method can apply fine-grained edits to individual objects within the image. For example, our method can selectively blur or crop specific objects that have a certain property. To facilitate such fine-grained image editing tasks, we propose a neuro-symbolic domain-specific language (DSL) that combines pre-trained neural networks for image classification with other language constructs that enable symbolic reasoning. Our method can automati"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2304.03253","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.PL","submitted_at":"2023-04-06T17:38:34Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"2949cdafaca409d97812ae151ebfbbd047656b10bf89cd7f9d86471d2e470734","abstract_canon_sha256":"1c8ce82c5d47431c117f59a6844d3f970721195447d368e989db90416f4af2b7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:20:42.536660Z","signature_b64":"eQZy3UnMxUqHGBF4eMEWY0GPq2S9EM9DXoM+fzKXIQJYBqHi3onuYlpYHXlomsg8riSpTon7BunD7doDOsluBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8a45e731c934a1abb82d2a3d574bbed502069aebfbe1d6cb13f22f11ff809be9","last_reissued_at":"2026-07-05T06:20:42.536162Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:20:42.536162Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"ImageEye: Batch Image Processing Using Program Synthesis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.PL","authors_text":"Celeste Barnaby, Isil Dillig, Qiaochu Chen, Roopsha Samanta","submitted_at":"2023-04-06T17:38:34Z","abstract_excerpt":"This paper presents a new synthesis-based approach for batch image processing. Unlike existing tools that can only apply global edits to the entire image, our method can apply fine-grained edits to individual objects within the image. For example, our method can selectively blur or crop specific objects that have a certain property. To facilitate such fine-grained image editing tasks, we propose a neuro-symbolic domain-specific language (DSL) that combines pre-trained neural networks for image classification with other language constructs that enable symbolic reasoning. Our method can automati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.03253","kind":"arxiv","version":3},"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/2304.03253/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2304.03253","created_at":"2026-07-05T06:20:42.536216+00:00"},{"alias_kind":"arxiv_version","alias_value":"2304.03253v3","created_at":"2026-07-05T06:20:42.536216+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.03253","created_at":"2026-07-05T06:20:42.536216+00:00"},{"alias_kind":"pith_short_12","alias_value":"RJC6OMOJGSQ2","created_at":"2026-07-05T06:20:42.536216+00:00"},{"alias_kind":"pith_short_16","alias_value":"RJC6OMOJGSQ2XOBN","created_at":"2026-07-05T06:20:42.536216+00:00"},{"alias_kind":"pith_short_8","alias_value":"RJC6OMOJ","created_at":"2026-07-05T06:20:42.536216+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/RJC6OMOJGSQ2XOBNFI6VOS562U","json":"https://pith.science/pith/RJC6OMOJGSQ2XOBNFI6VOS562U.json","graph_json":"https://pith.science/api/pith-number/RJC6OMOJGSQ2XOBNFI6VOS562U/graph.json","events_json":"https://pith.science/api/pith-number/RJC6OMOJGSQ2XOBNFI6VOS562U/events.json","paper":"https://pith.science/paper/RJC6OMOJ"},"agent_actions":{"view_html":"https://pith.science/pith/RJC6OMOJGSQ2XOBNFI6VOS562U","download_json":"https://pith.science/pith/RJC6OMOJGSQ2XOBNFI6VOS562U.json","view_paper":"https://pith.science/paper/RJC6OMOJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2304.03253&json=true","fetch_graph":"https://pith.science/api/pith-number/RJC6OMOJGSQ2XOBNFI6VOS562U/graph.json","fetch_events":"https://pith.science/api/pith-number/RJC6OMOJGSQ2XOBNFI6VOS562U/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RJC6OMOJGSQ2XOBNFI6VOS562U/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RJC6OMOJGSQ2XOBNFI6VOS562U/action/storage_attestation","attest_author":"https://pith.science/pith/RJC6OMOJGSQ2XOBNFI6VOS562U/action/author_attestation","sign_citation":"https://pith.science/pith/RJC6OMOJGSQ2XOBNFI6VOS562U/action/citation_signature","submit_replication":"https://pith.science/pith/RJC6OMOJGSQ2XOBNFI6VOS562U/action/replication_record"}},"created_at":"2026-07-05T06:20:42.536216+00:00","updated_at":"2026-07-05T06:20:42.536216+00:00"}