{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:V52OSCZ4MR6TTAELZ2KSQQB5PL","short_pith_number":"pith:V52OSCZ4","schema_version":"1.0","canonical_sha256":"af74e90b3c647d39808bce9528403d7ae175b2b5f46f671a814ec88d77864dd3","source":{"kind":"arxiv","id":"2501.18186","version":1},"attestation_state":"computed","paper":{"title":"A photonic integrated processor for multiple parallel computational tasks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"physics.optics","authors_text":"Chencheng Zeng, Huan Rao, Jianping Yao, Jiejun Zhang, Jingxu Chen, Junyi Zhang, Ruiqi Zheng, Sheng Dong, Yu Huang","submitted_at":"2025-01-30T07:38:05Z","abstract_excerpt":"Optical networks with parallel processing capabilities are significant in advancing high-speed data computing and large-scale data processing by providing ultra-width computational bandwidth. In this paper, we present a photonic integrated processor that can be segmented into multiple functional blocks, to enable compact and reconfigurable matrix operations for multiple parallel computational tasks. Fabricated on a silicon-on-insulator (SOI) platform, the photonic integrated processor supports fully reconfigurable optical matrix operations. By segmenting the chip into multiple functional block"},"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":"2501.18186","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.optics","submitted_at":"2025-01-30T07:38:05Z","cross_cats_sorted":["physics.comp-ph"],"title_canon_sha256":"306d9aeada48621d84e0e1775f7082ab6aa310cfd8dd565a66591a6b9512e6a4","abstract_canon_sha256":"ef0bf7c17a08ff01392693b8cdf407f970b11c4daf87be9e1bbac0b76e9a636f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:07:30.743288Z","signature_b64":"UupdUfUhK5knSM7t2M3VTkpDGnAN0yr2Baj1mUsf8mvK92xh+ZnLbx3hhJTQLVDc0X//phZLyijzZHn4/nkbDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"af74e90b3c647d39808bce9528403d7ae175b2b5f46f671a814ec88d77864dd3","last_reissued_at":"2026-07-05T10:07:30.742924Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:07:30.742924Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A photonic integrated processor for multiple parallel computational tasks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"physics.optics","authors_text":"Chencheng Zeng, Huan Rao, Jianping Yao, Jiejun Zhang, Jingxu Chen, Junyi Zhang, Ruiqi Zheng, Sheng Dong, Yu Huang","submitted_at":"2025-01-30T07:38:05Z","abstract_excerpt":"Optical networks with parallel processing capabilities are significant in advancing high-speed data computing and large-scale data processing by providing ultra-width computational bandwidth. In this paper, we present a photonic integrated processor that can be segmented into multiple functional blocks, to enable compact and reconfigurable matrix operations for multiple parallel computational tasks. Fabricated on a silicon-on-insulator (SOI) platform, the photonic integrated processor supports fully reconfigurable optical matrix operations. By segmenting the chip into multiple functional block"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.18186","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/2501.18186/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":"2501.18186","created_at":"2026-07-05T10:07:30.742977+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.18186v1","created_at":"2026-07-05T10:07:30.742977+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.18186","created_at":"2026-07-05T10:07:30.742977+00:00"},{"alias_kind":"pith_short_12","alias_value":"V52OSCZ4MR6T","created_at":"2026-07-05T10:07:30.742977+00:00"},{"alias_kind":"pith_short_16","alias_value":"V52OSCZ4MR6TTAEL","created_at":"2026-07-05T10:07:30.742977+00:00"},{"alias_kind":"pith_short_8","alias_value":"V52OSCZ4","created_at":"2026-07-05T10:07:30.742977+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/V52OSCZ4MR6TTAELZ2KSQQB5PL","json":"https://pith.science/pith/V52OSCZ4MR6TTAELZ2KSQQB5PL.json","graph_json":"https://pith.science/api/pith-number/V52OSCZ4MR6TTAELZ2KSQQB5PL/graph.json","events_json":"https://pith.science/api/pith-number/V52OSCZ4MR6TTAELZ2KSQQB5PL/events.json","paper":"https://pith.science/paper/V52OSCZ4"},"agent_actions":{"view_html":"https://pith.science/pith/V52OSCZ4MR6TTAELZ2KSQQB5PL","download_json":"https://pith.science/pith/V52OSCZ4MR6TTAELZ2KSQQB5PL.json","view_paper":"https://pith.science/paper/V52OSCZ4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.18186&json=true","fetch_graph":"https://pith.science/api/pith-number/V52OSCZ4MR6TTAELZ2KSQQB5PL/graph.json","fetch_events":"https://pith.science/api/pith-number/V52OSCZ4MR6TTAELZ2KSQQB5PL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/V52OSCZ4MR6TTAELZ2KSQQB5PL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/V52OSCZ4MR6TTAELZ2KSQQB5PL/action/storage_attestation","attest_author":"https://pith.science/pith/V52OSCZ4MR6TTAELZ2KSQQB5PL/action/author_attestation","sign_citation":"https://pith.science/pith/V52OSCZ4MR6TTAELZ2KSQQB5PL/action/citation_signature","submit_replication":"https://pith.science/pith/V52OSCZ4MR6TTAELZ2KSQQB5PL/action/replication_record"}},"created_at":"2026-07-05T10:07:30.742977+00:00","updated_at":"2026-07-05T10:07:30.742977+00:00"}