{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:OUDDCEP3CDV63CK24XZPKBZLGC","short_pith_number":"pith:OUDDCEP3","canonical_record":{"source":{"id":"1211.3589","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2012-11-15T12:34:07Z","cross_cats_sorted":[],"title_canon_sha256":"1291281b26e3cdd38ff7f5329c60d190755850a862303c363263d644ca6d264c","abstract_canon_sha256":"e025f36ac7452e31be26a50177259d9cf2b8f27b2e17dc68ca4bccee406c76f2"},"schema_version":"1.0"},"canonical_sha256":"75063111fb10ebed895ae5f2f5072b30bc58ade82e553aac95c960bb36e6531e","source":{"kind":"arxiv","id":"1211.3589","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1211.3589","created_at":"2026-05-18T02:41:01Z"},{"alias_kind":"arxiv_version","alias_value":"1211.3589v3","created_at":"2026-05-18T02:41:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1211.3589","created_at":"2026-05-18T02:41:01Z"},{"alias_kind":"pith_short_12","alias_value":"OUDDCEP3CDV6","created_at":"2026-05-18T12:27:16Z"},{"alias_kind":"pith_short_16","alias_value":"OUDDCEP3CDV63CK2","created_at":"2026-05-18T12:27:16Z"},{"alias_kind":"pith_short_8","alias_value":"OUDDCEP3","created_at":"2026-05-18T12:27:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:OUDDCEP3CDV63CK24XZPKBZLGC","target":"record","payload":{"canonical_record":{"source":{"id":"1211.3589","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2012-11-15T12:34:07Z","cross_cats_sorted":[],"title_canon_sha256":"1291281b26e3cdd38ff7f5329c60d190755850a862303c363263d644ca6d264c","abstract_canon_sha256":"e025f36ac7452e31be26a50177259d9cf2b8f27b2e17dc68ca4bccee406c76f2"},"schema_version":"1.0"},"canonical_sha256":"75063111fb10ebed895ae5f2f5072b30bc58ade82e553aac95c960bb36e6531e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:41:01.315760Z","signature_b64":"BepCaf33JLezugxxnUvBLvx3naHUrNbgMB3bKbg5tofPCbpdbtW9O5aL4FE4c3WazAU0RSRftRfSDk+CQLVBDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"75063111fb10ebed895ae5f2f5072b30bc58ade82e553aac95c960bb36e6531e","last_reissued_at":"2026-05-18T02:41:01.315248Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:41:01.315248Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1211.3589","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:41:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k/ti+5kvA/O2Z2+UEFBIeeFRAwrzJ+wkXwhpxRa4EeRDmntMfNu9Xi47qq3QdmmKc8UX+q5oeoWJgF7vFJd3Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T04:32:20.440519Z"},"content_sha256":"1a089869e09d85706d6a5aa7560179b933cd218379e2de1a0cd11acf385ee876","schema_version":"1.0","event_id":"sha256:1a089869e09d85706d6a5aa7560179b933cd218379e2de1a0cd11acf385ee876"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:OUDDCEP3CDV63CK24XZPKBZLGC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Truncated EM Approach for Spike-and-Slab Sparse Coding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ML","authors_text":"Abdul-Saboor Sheikh, Jacquelyn A. Shelton, J\\\"org L\\\"ucke","submitted_at":"2012-11-15T12:34:07Z","abstract_excerpt":"We study inference and learning based on a sparse coding model with `spike-and-slab' prior. As in standard sparse coding, the model used assumes independent latent sources that linearly combine to generate data points. However, instead of using a standard sparse prior such as a Laplace distribution, we study the application of a more flexible `spike-and-slab' distribution which models the absence or presence of a source's contribution independently of its strength if it contributes. We investigate two approaches to optimize the parameters of spike-and-slab sparse coding: a novel truncated EM a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1211.3589","kind":"arxiv","version":3},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:41:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L5ila23wzb4KWcRsWQ7k6BxV702krEGFPoDE73svzWCEXacR9NQzSgkWYncR4rgws2Uhjay3vrC3+UUWXXU+Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T04:32:20.441409Z"},"content_sha256":"7c0eb2f5c09934f3217c44e478e352e93e378d1ccc99240213728fbf278e4532","schema_version":"1.0","event_id":"sha256:7c0eb2f5c09934f3217c44e478e352e93e378d1ccc99240213728fbf278e4532"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OUDDCEP3CDV63CK24XZPKBZLGC/bundle.json","state_url":"https://pith.science/pith/OUDDCEP3CDV63CK24XZPKBZLGC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OUDDCEP3CDV63CK24XZPKBZLGC/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":"2026-08-05T04:32:20Z","links":{"resolver":"https://pith.science/pith/OUDDCEP3CDV63CK24XZPKBZLGC","bundle":"https://pith.science/pith/OUDDCEP3CDV63CK24XZPKBZLGC/bundle.json","state":"https://pith.science/pith/OUDDCEP3CDV63CK24XZPKBZLGC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OUDDCEP3CDV63CK24XZPKBZLGC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:OUDDCEP3CDV63CK24XZPKBZLGC","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":"e025f36ac7452e31be26a50177259d9cf2b8f27b2e17dc68ca4bccee406c76f2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2012-11-15T12:34:07Z","title_canon_sha256":"1291281b26e3cdd38ff7f5329c60d190755850a862303c363263d644ca6d264c"},"schema_version":"1.0","source":{"id":"1211.3589","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1211.3589","created_at":"2026-05-18T02:41:01Z"},{"alias_kind":"arxiv_version","alias_value":"1211.3589v3","created_at":"2026-05-18T02:41:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1211.3589","created_at":"2026-05-18T02:41:01Z"},{"alias_kind":"pith_short_12","alias_value":"OUDDCEP3CDV6","created_at":"2026-05-18T12:27:16Z"},{"alias_kind":"pith_short_16","alias_value":"OUDDCEP3CDV63CK2","created_at":"2026-05-18T12:27:16Z"},{"alias_kind":"pith_short_8","alias_value":"OUDDCEP3","created_at":"2026-05-18T12:27:16Z"}],"graph_snapshots":[{"event_id":"sha256:7c0eb2f5c09934f3217c44e478e352e93e378d1ccc99240213728fbf278e4532","target":"graph","created_at":"2026-05-18T02:41:01Z","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"},"paper":{"abstract_excerpt":"We study inference and learning based on a sparse coding model with `spike-and-slab' prior. As in standard sparse coding, the model used assumes independent latent sources that linearly combine to generate data points. However, instead of using a standard sparse prior such as a Laplace distribution, we study the application of a more flexible `spike-and-slab' distribution which models the absence or presence of a source's contribution independently of its strength if it contributes. We investigate two approaches to optimize the parameters of spike-and-slab sparse coding: a novel truncated EM a","authors_text":"Abdul-Saboor Sheikh, Jacquelyn A. Shelton, J\\\"org L\\\"ucke","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2012-11-15T12:34:07Z","title":"A Truncated EM Approach for Spike-and-Slab Sparse Coding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1211.3589","kind":"arxiv","version":3},"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":"sha256:1a089869e09d85706d6a5aa7560179b933cd218379e2de1a0cd11acf385ee876","target":"record","created_at":"2026-05-18T02:41:01Z","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":"e025f36ac7452e31be26a50177259d9cf2b8f27b2e17dc68ca4bccee406c76f2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2012-11-15T12:34:07Z","title_canon_sha256":"1291281b26e3cdd38ff7f5329c60d190755850a862303c363263d644ca6d264c"},"schema_version":"1.0","source":{"id":"1211.3589","kind":"arxiv","version":3}},"canonical_sha256":"75063111fb10ebed895ae5f2f5072b30bc58ade82e553aac95c960bb36e6531e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"75063111fb10ebed895ae5f2f5072b30bc58ade82e553aac95c960bb36e6531e","first_computed_at":"2026-05-18T02:41:01.315248Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:41:01.315248Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BepCaf33JLezugxxnUvBLvx3naHUrNbgMB3bKbg5tofPCbpdbtW9O5aL4FE4c3WazAU0RSRftRfSDk+CQLVBDw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:41:01.315760Z","signed_message":"canonical_sha256_bytes"},"source_id":"1211.3589","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1a089869e09d85706d6a5aa7560179b933cd218379e2de1a0cd11acf385ee876","sha256:7c0eb2f5c09934f3217c44e478e352e93e378d1ccc99240213728fbf278e4532"],"state_sha256":"61d3c3c1d496d9c4c755ff5d7b2bbf0c10542662f60afa6f70fba4b799795144"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D0Q44zdhAe6QYcKVfqXwvCVSgj+6TOWNoHrR5i6f1GSp3vRprdy9Dq9BHIDOL8CULBx3KqcwIdNMGPioMbxIAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T04:32:20.498878Z","bundle_sha256":"e849928e2e0cf13d1752e32a3ca4a0ca6a52f0bfce00fece9cf0fcd8f286745e"}}