{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:YZIBENRO7QX3DYJ25IU6GHWAWS","short_pith_number":"pith:YZIBENRO","schema_version":"1.0","canonical_sha256":"c65012362efc2fb1e13aea29e31ec0b4a1e94444cf873a6a213abfd7d08f3684","source":{"kind":"arxiv","id":"1401.4506","version":2},"attestation_state":"computed","paper":{"title":"Detection and Decoding for 2D Magnetic Recording Channels with 2D Intersymbol Interference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Benjamin J. Belzer, Jiyang Yu, Krishnamoorthy Sivakumar, Michael Carosino, Yiming Chen","submitted_at":"2014-01-18T01:44:03Z","abstract_excerpt":"This paper considers iterative detection and decoding on the concatenated communication channel consisting of a two-dimensional magnetic recording (TDMR) channel modeled by the four-grain rectangular discrete grain model (DGM) proposed by Kavcic et. al., followed by a two-dimensional intersymbol interference (2D-ISI) channel modeled by linear convolution of the DGM model's output with a finite-extent 2D blurring mask followed by addition of white Gaussian noise. An iterative detection and decoding scheme combines TDMR detection, 2D-ISI detection, and soft-in/soft-out (SISO) channel decoding in"},"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":"1401.4506","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2014-01-18T01:44:03Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"bcec36398ede274c397bc0df73b0fe660c6fa050f884cf28db8a5ade99aef981","abstract_canon_sha256":"8c56228e905e630b6cf7b15437a638fb360d4d5c24129b58386b94b478a26e98"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:01:23.842609Z","signature_b64":"lY2ADA+ltEMKtU+KMZ+GVcBv692cte3ZO0mFjOPEAGgPdnDxF7MH4XMcvVEnz2GkhE8z/GLKwxcKKG40J9YaAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c65012362efc2fb1e13aea29e31ec0b4a1e94444cf873a6a213abfd7d08f3684","last_reissued_at":"2026-05-18T03:01:23.841818Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:01:23.841818Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Detection and Decoding for 2D Magnetic Recording Channels with 2D Intersymbol Interference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Benjamin J. Belzer, Jiyang Yu, Krishnamoorthy Sivakumar, Michael Carosino, Yiming Chen","submitted_at":"2014-01-18T01:44:03Z","abstract_excerpt":"This paper considers iterative detection and decoding on the concatenated communication channel consisting of a two-dimensional magnetic recording (TDMR) channel modeled by the four-grain rectangular discrete grain model (DGM) proposed by Kavcic et. al., followed by a two-dimensional intersymbol interference (2D-ISI) channel modeled by linear convolution of the DGM model's output with a finite-extent 2D blurring mask followed by addition of white Gaussian noise. An iterative detection and decoding scheme combines TDMR detection, 2D-ISI detection, and soft-in/soft-out (SISO) channel decoding in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1401.4506","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":""},"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":"1401.4506","created_at":"2026-05-18T03:01:23.841942+00:00"},{"alias_kind":"arxiv_version","alias_value":"1401.4506v2","created_at":"2026-05-18T03:01:23.841942+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1401.4506","created_at":"2026-05-18T03:01:23.841942+00:00"},{"alias_kind":"pith_short_12","alias_value":"YZIBENRO7QX3","created_at":"2026-05-18T12:28:59.999130+00:00"},{"alias_kind":"pith_short_16","alias_value":"YZIBENRO7QX3DYJ2","created_at":"2026-05-18T12:28:59.999130+00:00"},{"alias_kind":"pith_short_8","alias_value":"YZIBENRO","created_at":"2026-05-18T12:28:59.999130+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/YZIBENRO7QX3DYJ25IU6GHWAWS","json":"https://pith.science/pith/YZIBENRO7QX3DYJ25IU6GHWAWS.json","graph_json":"https://pith.science/api/pith-number/YZIBENRO7QX3DYJ25IU6GHWAWS/graph.json","events_json":"https://pith.science/api/pith-number/YZIBENRO7QX3DYJ25IU6GHWAWS/events.json","paper":"https://pith.science/paper/YZIBENRO"},"agent_actions":{"view_html":"https://pith.science/pith/YZIBENRO7QX3DYJ25IU6GHWAWS","download_json":"https://pith.science/pith/YZIBENRO7QX3DYJ25IU6GHWAWS.json","view_paper":"https://pith.science/paper/YZIBENRO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1401.4506&json=true","fetch_graph":"https://pith.science/api/pith-number/YZIBENRO7QX3DYJ25IU6GHWAWS/graph.json","fetch_events":"https://pith.science/api/pith-number/YZIBENRO7QX3DYJ25IU6GHWAWS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YZIBENRO7QX3DYJ25IU6GHWAWS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YZIBENRO7QX3DYJ25IU6GHWAWS/action/storage_attestation","attest_author":"https://pith.science/pith/YZIBENRO7QX3DYJ25IU6GHWAWS/action/author_attestation","sign_citation":"https://pith.science/pith/YZIBENRO7QX3DYJ25IU6GHWAWS/action/citation_signature","submit_replication":"https://pith.science/pith/YZIBENRO7QX3DYJ25IU6GHWAWS/action/replication_record"}},"created_at":"2026-05-18T03:01:23.841942+00:00","updated_at":"2026-05-18T03:01:23.841942+00:00"}