{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:QNKDIEIS7JZMGUYCBJORRTLM6Y","short_pith_number":"pith:QNKDIEIS","schema_version":"1.0","canonical_sha256":"8354341112fa72c353020a5d18cd6cf621e459d440b169bedeae2bebacf24319","source":{"kind":"arxiv","id":"2606.31514","version":1},"attestation_state":"computed","paper":{"title":"MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["math.LO","math.OC"],"primary_cat":"cs.AR","authors_text":"Dorit Merhof, Florian Aschauer, Malik Zohaib Nisar, Muhammad Usman","submitted_at":"2026-06-30T11:29:23Z","abstract_excerpt":"We present MINT, a dynamic-precision CNN inference accelerator based on left-to-right (LR) arithmetic. LR arithmetic computes in most-significant-digit-first manner and exposes useful partial results early so that the computation can be terminated once the desired precision is achieved. At the core, there is a MSDF serial-parallel inner-product unit, which uses redundant signed-digit representation to compute each convolution window. A budget-constrained greedy search profiles all convolution layers from INT2 to INT7 and selects the lowest precision per layer while constraining total accuracy "},"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":"2606.31514","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.AR","submitted_at":"2026-06-30T11:29:23Z","cross_cats_sorted":["math.LO","math.OC"],"title_canon_sha256":"ed11663707987badd96c0b72be1727db2d78780f6a607f3b8db54a41245364dc","abstract_canon_sha256":"d0b29d16c7142fe9cf9c423d34f73032a951e285dc1827a4b2415b0a91115b79"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-01T01:18:05.563050Z","signature_b64":"u8KEluWvbepQ9dHSajYA7lsFLPQl/DpaGDYoTg47ZdJ90+mSYW6nknFbRCy0iApFLVcT3kBfiKDK+nrl1BRGAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8354341112fa72c353020a5d18cd6cf621e459d440b169bedeae2bebacf24319","last_reissued_at":"2026-07-01T01:18:05.562537Z","signature_status":"signed_v1","first_computed_at":"2026-07-01T01:18:05.562537Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["math.LO","math.OC"],"primary_cat":"cs.AR","authors_text":"Dorit Merhof, Florian Aschauer, Malik Zohaib Nisar, Muhammad Usman","submitted_at":"2026-06-30T11:29:23Z","abstract_excerpt":"We present MINT, a dynamic-precision CNN inference accelerator based on left-to-right (LR) arithmetic. LR arithmetic computes in most-significant-digit-first manner and exposes useful partial results early so that the computation can be terminated once the desired precision is achieved. At the core, there is a MSDF serial-parallel inner-product unit, which uses redundant signed-digit representation to compute each convolution window. A budget-constrained greedy search profiles all convolution layers from INT2 to INT7 and selects the lowest precision per layer while constraining total accuracy "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.31514","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/2606.31514/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":"2606.31514","created_at":"2026-07-01T01:18:05.562609+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.31514v1","created_at":"2026-07-01T01:18:05.562609+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.31514","created_at":"2026-07-01T01:18:05.562609+00:00"},{"alias_kind":"pith_short_12","alias_value":"QNKDIEIS7JZM","created_at":"2026-07-01T01:18:05.562609+00:00"},{"alias_kind":"pith_short_16","alias_value":"QNKDIEIS7JZMGUYC","created_at":"2026-07-01T01:18:05.562609+00:00"},{"alias_kind":"pith_short_8","alias_value":"QNKDIEIS","created_at":"2026-07-01T01:18:05.562609+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/QNKDIEIS7JZMGUYCBJORRTLM6Y","json":"https://pith.science/pith/QNKDIEIS7JZMGUYCBJORRTLM6Y.json","graph_json":"https://pith.science/api/pith-number/QNKDIEIS7JZMGUYCBJORRTLM6Y/graph.json","events_json":"https://pith.science/api/pith-number/QNKDIEIS7JZMGUYCBJORRTLM6Y/events.json","paper":"https://pith.science/paper/QNKDIEIS"},"agent_actions":{"view_html":"https://pith.science/pith/QNKDIEIS7JZMGUYCBJORRTLM6Y","download_json":"https://pith.science/pith/QNKDIEIS7JZMGUYCBJORRTLM6Y.json","view_paper":"https://pith.science/paper/QNKDIEIS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.31514&json=true","fetch_graph":"https://pith.science/api/pith-number/QNKDIEIS7JZMGUYCBJORRTLM6Y/graph.json","fetch_events":"https://pith.science/api/pith-number/QNKDIEIS7JZMGUYCBJORRTLM6Y/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QNKDIEIS7JZMGUYCBJORRTLM6Y/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QNKDIEIS7JZMGUYCBJORRTLM6Y/action/storage_attestation","attest_author":"https://pith.science/pith/QNKDIEIS7JZMGUYCBJORRTLM6Y/action/author_attestation","sign_citation":"https://pith.science/pith/QNKDIEIS7JZMGUYCBJORRTLM6Y/action/citation_signature","submit_replication":"https://pith.science/pith/QNKDIEIS7JZMGUYCBJORRTLM6Y/action/replication_record"}},"created_at":"2026-07-01T01:18:05.562609+00:00","updated_at":"2026-07-01T01:18:05.562609+00:00"}