{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:EFID2BBMZJTCITCTX3O6FH5GSC","short_pith_number":"pith:EFID2BBM","schema_version":"1.0","canonical_sha256":"21503d042cca66244c53bedde29fa690a01021766210c629f258daf20554559b","source":{"kind":"arxiv","id":"2606.27646","version":1},"attestation_state":"computed","paper":{"title":"VLM-Aware Meta-Optic Front-End Design for Frozen Vision-Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.optics"],"primary_cat":"cs.CV","authors_text":"Chanik Kang, Haejun Chung, Rapha\\\"el Pestourie","submitted_at":"2026-06-26T01:54:22Z","abstract_excerpt":"Conventional machine-vision pipelines typically rely on high-quality optics that produce clean, human-interpretable images, and optical design has therefore been driven by image-level criteria such as resolution, aberration correction, and pixel fidelity. However, such optics are often impractical for size-, cost-, or form-factor-constrained applications, where compact meta-optics offer an attractive alternative but operate under strict physical efficiency limits. We propose CODA, a co-design framework that optimizes a continuous-density meta-optic front-end for frozen-model recognition using "},"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":"2606.27646","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-26T01:54:22Z","cross_cats_sorted":["physics.optics"],"title_canon_sha256":"27717271cc132cfa85f963ecb8a9f3ba35cb68329857b370ec823765d4e16865","abstract_canon_sha256":"1e28ef0d373b3b02d1c8534680e601abc8d2af9f0eec7a82e8c81c3908692073"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-29T00:14:13.096257Z","signature_b64":"my/B+2zI0R0pSVPwYZQwsefsCQr6bFU2rziEeDM4Kcebpi8vSGbsRzdwwBI2gfBUF1GZNHlk6hGEJ9EDh5rSDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"21503d042cca66244c53bedde29fa690a01021766210c629f258daf20554559b","last_reissued_at":"2026-06-29T00:14:13.095827Z","signature_status":"signed_v1","first_computed_at":"2026-06-29T00:14:13.095827Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"VLM-Aware Meta-Optic Front-End Design for Frozen Vision-Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.optics"],"primary_cat":"cs.CV","authors_text":"Chanik Kang, Haejun Chung, Rapha\\\"el Pestourie","submitted_at":"2026-06-26T01:54:22Z","abstract_excerpt":"Conventional machine-vision pipelines typically rely on high-quality optics that produce clean, human-interpretable images, and optical design has therefore been driven by image-level criteria such as resolution, aberration correction, and pixel fidelity. However, such optics are often impractical for size-, cost-, or form-factor-constrained applications, where compact meta-optics offer an attractive alternative but operate under strict physical efficiency limits. We propose CODA, a co-design framework that optimizes a continuous-density meta-optic front-end for frozen-model recognition using "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.27646","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/2606.27646/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":"2606.27646","created_at":"2026-06-29T00:14:13.095896+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.27646v1","created_at":"2026-06-29T00:14:13.095896+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.27646","created_at":"2026-06-29T00:14:13.095896+00:00"},{"alias_kind":"pith_short_12","alias_value":"EFID2BBMZJTC","created_at":"2026-06-29T00:14:13.095896+00:00"},{"alias_kind":"pith_short_16","alias_value":"EFID2BBMZJTCITCT","created_at":"2026-06-29T00:14:13.095896+00:00"},{"alias_kind":"pith_short_8","alias_value":"EFID2BBM","created_at":"2026-06-29T00:14:13.095896+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/EFID2BBMZJTCITCTX3O6FH5GSC","json":"https://pith.science/pith/EFID2BBMZJTCITCTX3O6FH5GSC.json","graph_json":"https://pith.science/api/pith-number/EFID2BBMZJTCITCTX3O6FH5GSC/graph.json","events_json":"https://pith.science/api/pith-number/EFID2BBMZJTCITCTX3O6FH5GSC/events.json","paper":"https://pith.science/paper/EFID2BBM"},"agent_actions":{"view_html":"https://pith.science/pith/EFID2BBMZJTCITCTX3O6FH5GSC","download_json":"https://pith.science/pith/EFID2BBMZJTCITCTX3O6FH5GSC.json","view_paper":"https://pith.science/paper/EFID2BBM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.27646&json=true","fetch_graph":"https://pith.science/api/pith-number/EFID2BBMZJTCITCTX3O6FH5GSC/graph.json","fetch_events":"https://pith.science/api/pith-number/EFID2BBMZJTCITCTX3O6FH5GSC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EFID2BBMZJTCITCTX3O6FH5GSC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EFID2BBMZJTCITCTX3O6FH5GSC/action/storage_attestation","attest_author":"https://pith.science/pith/EFID2BBMZJTCITCTX3O6FH5GSC/action/author_attestation","sign_citation":"https://pith.science/pith/EFID2BBMZJTCITCTX3O6FH5GSC/action/citation_signature","submit_replication":"https://pith.science/pith/EFID2BBMZJTCITCTX3O6FH5GSC/action/replication_record"}},"created_at":"2026-06-29T00:14:13.095896+00:00","updated_at":"2026-06-29T00:14:13.095896+00:00"}