{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:R2XAE3Q5FU4GOPORLI4GHGFMH3","short_pith_number":"pith:R2XAE3Q5","schema_version":"1.0","canonical_sha256":"8eae026e1d2d38673dd15a386398ac3ecb3c1b54714846c612e4329de3a4f15b","source":{"kind":"arxiv","id":"2502.15242","version":3},"attestation_state":"computed","paper":{"title":"Agonistic Image Generation: Unsettling the Hegemony of Intention","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Amy X. Zhang, Andrew Shaw, Andre Ye, Ranjay Krishna","submitted_at":"2025-02-21T06:30:42Z","abstract_excerpt":"Current image generation paradigms prioritize actualizing user intention - \"see what you intend\" - but often neglect the sociopolitical dimensions of this process. However, it is increasingly evident that image generation is political, contributing to broader social struggles over visual meaning. This sociopolitical aspect was highlighted by the March 2024 Gemini controversy, where Gemini faced criticism for inappropriately injecting demographic diversity into user prompts. Although the developers sought to redress image generation's sociopolitical dimension by introducing diversity \"correctio"},"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":"2502.15242","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-02-21T06:30:42Z","cross_cats_sorted":[],"title_canon_sha256":"8ed7852881751f3584f1ee79a9abfd04dcb77bb6f21fb2d5f98d62669325501d","abstract_canon_sha256":"b99118373f2460fb727b7f64f4f2ea83f439565b9cf5a1c69889707c70b75d4b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:24:14.805747Z","signature_b64":"COFtTKe++p6fbI1l3oXJATBUnaYl0IRtUqPKRF6oMfRUEYm7dU27TVDnMm+CK5huWXeLx/bUxm0lK5IthlS/Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8eae026e1d2d38673dd15a386398ac3ecb3c1b54714846c612e4329de3a4f15b","last_reissued_at":"2026-07-05T11:24:14.805129Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:24:14.805129Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Agonistic Image Generation: Unsettling the Hegemony of Intention","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Amy X. Zhang, Andrew Shaw, Andre Ye, Ranjay Krishna","submitted_at":"2025-02-21T06:30:42Z","abstract_excerpt":"Current image generation paradigms prioritize actualizing user intention - \"see what you intend\" - but often neglect the sociopolitical dimensions of this process. However, it is increasingly evident that image generation is political, contributing to broader social struggles over visual meaning. This sociopolitical aspect was highlighted by the March 2024 Gemini controversy, where Gemini faced criticism for inappropriately injecting demographic diversity into user prompts. Although the developers sought to redress image generation's sociopolitical dimension by introducing diversity \"correctio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.15242","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/2502.15242/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":"2502.15242","created_at":"2026-07-05T11:24:14.805199+00:00"},{"alias_kind":"arxiv_version","alias_value":"2502.15242v3","created_at":"2026-07-05T11:24:14.805199+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.15242","created_at":"2026-07-05T11:24:14.805199+00:00"},{"alias_kind":"pith_short_12","alias_value":"R2XAE3Q5FU4G","created_at":"2026-07-05T11:24:14.805199+00:00"},{"alias_kind":"pith_short_16","alias_value":"R2XAE3Q5FU4GOPOR","created_at":"2026-07-05T11:24:14.805199+00:00"},{"alias_kind":"pith_short_8","alias_value":"R2XAE3Q5","created_at":"2026-07-05T11:24:14.805199+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2506.13780","citing_title":"Hidden Bias in the Machine: Stereotypes in Text-to-Image Models","ref_index":23,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/R2XAE3Q5FU4GOPORLI4GHGFMH3","json":"https://pith.science/pith/R2XAE3Q5FU4GOPORLI4GHGFMH3.json","graph_json":"https://pith.science/api/pith-number/R2XAE3Q5FU4GOPORLI4GHGFMH3/graph.json","events_json":"https://pith.science/api/pith-number/R2XAE3Q5FU4GOPORLI4GHGFMH3/events.json","paper":"https://pith.science/paper/R2XAE3Q5"},"agent_actions":{"view_html":"https://pith.science/pith/R2XAE3Q5FU4GOPORLI4GHGFMH3","download_json":"https://pith.science/pith/R2XAE3Q5FU4GOPORLI4GHGFMH3.json","view_paper":"https://pith.science/paper/R2XAE3Q5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2502.15242&json=true","fetch_graph":"https://pith.science/api/pith-number/R2XAE3Q5FU4GOPORLI4GHGFMH3/graph.json","fetch_events":"https://pith.science/api/pith-number/R2XAE3Q5FU4GOPORLI4GHGFMH3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/R2XAE3Q5FU4GOPORLI4GHGFMH3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/R2XAE3Q5FU4GOPORLI4GHGFMH3/action/storage_attestation","attest_author":"https://pith.science/pith/R2XAE3Q5FU4GOPORLI4GHGFMH3/action/author_attestation","sign_citation":"https://pith.science/pith/R2XAE3Q5FU4GOPORLI4GHGFMH3/action/citation_signature","submit_replication":"https://pith.science/pith/R2XAE3Q5FU4GOPORLI4GHGFMH3/action/replication_record"}},"created_at":"2026-07-05T11:24:14.805199+00:00","updated_at":"2026-07-05T11:24:14.805199+00:00"}