{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:HWM6PR4L6VRMMRNXNQI57OKBUZ","short_pith_number":"pith:HWM6PR4L","canonical_record":{"source":{"id":"2302.06405","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2023-02-03T20:56:01Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"105d63321680559ee9237a0eebc0c0c9aeebbc0dabeba34074406aba2f8c5402","abstract_canon_sha256":"ba23eb8b2efe0a2812dca11fd2bd63cbfda5681a8fdc49c3a06dc3d35c370fad"},"schema_version":"1.0"},"canonical_sha256":"3d99e7c78bf562c645b76c11dfb941a668bd5a03bdd0f297499ce84d540f484a","source":{"kind":"arxiv","id":"2302.06405","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.06405","created_at":"2026-07-05T05:52:26Z"},{"alias_kind":"arxiv_version","alias_value":"2302.06405v2","created_at":"2026-07-05T05:52:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.06405","created_at":"2026-07-05T05:52:26Z"},{"alias_kind":"pith_short_12","alias_value":"HWM6PR4L6VRM","created_at":"2026-07-05T05:52:26Z"},{"alias_kind":"pith_short_16","alias_value":"HWM6PR4L6VRMMRNX","created_at":"2026-07-05T05:52:26Z"},{"alias_kind":"pith_short_8","alias_value":"HWM6PR4L","created_at":"2026-07-05T05:52:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:HWM6PR4L6VRMMRNXNQI57OKBUZ","target":"record","payload":{"canonical_record":{"source":{"id":"2302.06405","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2023-02-03T20:56:01Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"105d63321680559ee9237a0eebc0c0c9aeebbc0dabeba34074406aba2f8c5402","abstract_canon_sha256":"ba23eb8b2efe0a2812dca11fd2bd63cbfda5681a8fdc49c3a06dc3d35c370fad"},"schema_version":"1.0"},"canonical_sha256":"3d99e7c78bf562c645b76c11dfb941a668bd5a03bdd0f297499ce84d540f484a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:52:26.072470Z","signature_b64":"vmNYuUspu/QFl6SbyoT8UDT57l6Dr8+53skmhqGogShgDWva0/xrTJi+FcvesQVeJie0YbcHsDNx+EKtuENrAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3d99e7c78bf562c645b76c11dfb941a668bd5a03bdd0f297499ce84d540f484a","last_reissued_at":"2026-07-05T05:52:26.072085Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:52:26.072085Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2302.06405","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:52:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HLvmT9zEKFQRXSZPaggxhicBi0ofUvZsWlFEgUsXBe2k7MZIhhwmfUGpK33wZyrnIEpeO1Hc+Yw3yXG41dQkCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T03:11:04.226588Z"},"content_sha256":"3fc221a3f3ffca97ba60e658c89a54c7ae55da9980942bfd882da40d52b46362","schema_version":"1.0","event_id":"sha256:3fc221a3f3ffca97ba60e658c89a54c7ae55da9980942bfd882da40d52b46362"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:HWM6PR4L6VRMMRNXNQI57OKBUZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Optical XNOR-Bitcount Based Accelerator for Efficient Inference of Binary Neural Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"cs.AR","authors_text":"Ishan Thakkar, Sairam Sri Vatsavai, Venkata Sai Praneeth Karempudi","submitted_at":"2023-02-03T20:56:01Z","abstract_excerpt":"Binary Neural Networks (BNNs) are increasingly preferred over full-precision Convolutional Neural Networks(CNNs) to reduce the memory and computational requirements of inference processing with minimal accuracy drop. BNNs convert CNN model parameters to 1-bit precision, allowing inference of BNNs to be processed with simple XNOR and bitcount operations. This makes BNNs amenable to hardware acceleration. Several photonic integrated circuits (PICs) based BNN accelerators have been proposed. Although these accelerators provide remarkably higher throughput and energy efficiency than their electron"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.06405","kind":"arxiv","version":2},"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/2302.06405/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":"2026-07-05T05:52:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WqH9nIVNMpst2FHDVrim1l+qPRyscZ/nFbjJnCwlrXHnvR/oCqyU3GbAK30TPV0C2WZNI31tvolrIkWFEzKcCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T03:11:04.227357Z"},"content_sha256":"a9d175776048a212d215a2392ace10994afb3047c434c9ce37e3c52a97d21683","schema_version":"1.0","event_id":"sha256:a9d175776048a212d215a2392ace10994afb3047c434c9ce37e3c52a97d21683"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HWM6PR4L6VRMMRNXNQI57OKBUZ/bundle.json","state_url":"https://pith.science/pith/HWM6PR4L6VRMMRNXNQI57OKBUZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HWM6PR4L6VRMMRNXNQI57OKBUZ/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":"2026-07-09T03:11:04Z","links":{"resolver":"https://pith.science/pith/HWM6PR4L6VRMMRNXNQI57OKBUZ","bundle":"https://pith.science/pith/HWM6PR4L6VRMMRNXNQI57OKBUZ/bundle.json","state":"https://pith.science/pith/HWM6PR4L6VRMMRNXNQI57OKBUZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HWM6PR4L6VRMMRNXNQI57OKBUZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:HWM6PR4L6VRMMRNXNQI57OKBUZ","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":"ba23eb8b2efe0a2812dca11fd2bd63cbfda5681a8fdc49c3a06dc3d35c370fad","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2023-02-03T20:56:01Z","title_canon_sha256":"105d63321680559ee9237a0eebc0c0c9aeebbc0dabeba34074406aba2f8c5402"},"schema_version":"1.0","source":{"id":"2302.06405","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.06405","created_at":"2026-07-05T05:52:26Z"},{"alias_kind":"arxiv_version","alias_value":"2302.06405v2","created_at":"2026-07-05T05:52:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.06405","created_at":"2026-07-05T05:52:26Z"},{"alias_kind":"pith_short_12","alias_value":"HWM6PR4L6VRM","created_at":"2026-07-05T05:52:26Z"},{"alias_kind":"pith_short_16","alias_value":"HWM6PR4L6VRMMRNX","created_at":"2026-07-05T05:52:26Z"},{"alias_kind":"pith_short_8","alias_value":"HWM6PR4L","created_at":"2026-07-05T05:52:26Z"}],"graph_snapshots":[{"event_id":"sha256:a9d175776048a212d215a2392ace10994afb3047c434c9ce37e3c52a97d21683","target":"graph","created_at":"2026-07-05T05:52:26Z","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/2302.06405/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Binary Neural Networks (BNNs) are increasingly preferred over full-precision Convolutional Neural Networks(CNNs) to reduce the memory and computational requirements of inference processing with minimal accuracy drop. BNNs convert CNN model parameters to 1-bit precision, allowing inference of BNNs to be processed with simple XNOR and bitcount operations. This makes BNNs amenable to hardware acceleration. Several photonic integrated circuits (PICs) based BNN accelerators have been proposed. Although these accelerators provide remarkably higher throughput and energy efficiency than their electron","authors_text":"Ishan Thakkar, Sairam Sri Vatsavai, Venkata Sai Praneeth Karempudi","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2023-02-03T20:56:01Z","title":"An Optical XNOR-Bitcount Based Accelerator for Efficient Inference of Binary Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.06405","kind":"arxiv","version":2},"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":"sha256:3fc221a3f3ffca97ba60e658c89a54c7ae55da9980942bfd882da40d52b46362","target":"record","created_at":"2026-07-05T05:52:26Z","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":"ba23eb8b2efe0a2812dca11fd2bd63cbfda5681a8fdc49c3a06dc3d35c370fad","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2023-02-03T20:56:01Z","title_canon_sha256":"105d63321680559ee9237a0eebc0c0c9aeebbc0dabeba34074406aba2f8c5402"},"schema_version":"1.0","source":{"id":"2302.06405","kind":"arxiv","version":2}},"canonical_sha256":"3d99e7c78bf562c645b76c11dfb941a668bd5a03bdd0f297499ce84d540f484a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3d99e7c78bf562c645b76c11dfb941a668bd5a03bdd0f297499ce84d540f484a","first_computed_at":"2026-07-05T05:52:26.072085Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:52:26.072085Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vmNYuUspu/QFl6SbyoT8UDT57l6Dr8+53skmhqGogShgDWva0/xrTJi+FcvesQVeJie0YbcHsDNx+EKtuENrAA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:52:26.072470Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.06405","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3fc221a3f3ffca97ba60e658c89a54c7ae55da9980942bfd882da40d52b46362","sha256:a9d175776048a212d215a2392ace10994afb3047c434c9ce37e3c52a97d21683"],"state_sha256":"ca1d20b808b5fa4e4c7b6102db391cb9645397fb5b0cb11ad50ecd7c9361bc1d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FnFmvvML0GImOignTyywN4fbud2qbLbwT2yUFDOMdaN9VbEkI7T6SjixyWino+Yr0mwfrakSW1+HHLckE0NHAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T03:11:04.231184Z","bundle_sha256":"333ab3ec522cab7256a79dfdba55ab3ddacf1ad76d5e212bf6a6282b3f5a232a"}}