{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:HPP3U23SDQAP2EBWHFC4RGLBZW","short_pith_number":"pith:HPP3U23S","canonical_record":{"source":{"id":"1608.04689","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-08-16T17:54:40Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"92f6040f3cc7272deeb73a742cbd9237c0dbdf3cc20e7641d09bbf0e4c2d1c1c","abstract_canon_sha256":"b06433ecda3216b522f69cd7a4bbcd1eed3b90b168beec12ca925082ec456e3c"},"schema_version":"1.0"},"canonical_sha256":"3bdfba6b721c00fd10363945c89961cdadcea00ee5339a0c9400680959affab5","source":{"kind":"arxiv","id":"1608.04689","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.04689","created_at":"2026-05-18T01:08:36Z"},{"alias_kind":"arxiv_version","alias_value":"1608.04689v1","created_at":"2026-05-18T01:08:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.04689","created_at":"2026-05-18T01:08:36Z"},{"alias_kind":"pith_short_12","alias_value":"HPP3U23SDQAP","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"HPP3U23SDQAP2EBW","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"HPP3U23S","created_at":"2026-05-18T12:30:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:HPP3U23SDQAP2EBWHFC4RGLBZW","target":"record","payload":{"canonical_record":{"source":{"id":"1608.04689","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-08-16T17:54:40Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"92f6040f3cc7272deeb73a742cbd9237c0dbdf3cc20e7641d09bbf0e4c2d1c1c","abstract_canon_sha256":"b06433ecda3216b522f69cd7a4bbcd1eed3b90b168beec12ca925082ec456e3c"},"schema_version":"1.0"},"canonical_sha256":"3bdfba6b721c00fd10363945c89961cdadcea00ee5339a0c9400680959affab5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:08:36.528242Z","signature_b64":"LYMgKQh6NWD5uuTvKnOs/KCQd5Baci+zRCUKDgWRXN5i2TFyVp74gK2knLZHtDY/n5TDYNaZ4BN4kbWNg0t4BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3bdfba6b721c00fd10363945c89961cdadcea00ee5339a0c9400680959affab5","last_reissued_at":"2026-05-18T01:08:36.527665Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:08:36.527665Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1608.04689","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:08:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yID+qmmuUsbVL8yn4fIYrqXFG0r0rv23XgP82cUspkUWwYEgWrLJ19jou2Rskta1+Hm+G/pmlAW1Jo9tTZ8MAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T07:22:33.635225Z"},"content_sha256":"77c9de39ad03cfd4527e76f0a61ccbd1abec93637e34cf94c9725c1003260dc4","schema_version":"1.0","event_id":"sha256:77c9de39ad03cfd4527e76f0a61ccbd1abec93637e34cf94c9725c1003260dc4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:HPP3U23SDQAP2EBWHFC4RGLBZW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Shallow High-Order Parametric Approach to Data Visualization and Compression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.AI","authors_text":"Dongjin Song, Hongyu Guo, Martin Renqiang Min","submitted_at":"2016-08-16T17:54:40Z","abstract_excerpt":"Explicit high-order feature interactions efficiently capture essential structural knowledge about the data of interest and have been used for constructing generative models. We present a supervised discriminative High-Order Parametric Embedding (HOPE) approach to data visualization and compression. Compared to deep embedding models with complicated deep architectures, HOPE generates more effective high-order feature mapping through an embarrassingly simple shallow model. Furthermore, two approaches to generating a small number of exemplars conveying high-order interactions to represent large-s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.04689","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":""},"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":"2026-05-18T01:08:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QMLWpZShInvOf6Lo/ha3C9ADbJKoXKZ9+nvwDsgYVns8gvu3ub5WXsCb9HyRn/OzvG+nZ+BggefRjmdObwuUDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T07:22:33.635585Z"},"content_sha256":"bc560f643f7945e63cefc421bb6b6f24ad599b515533849fbb8e5028d98c5536","schema_version":"1.0","event_id":"sha256:bc560f643f7945e63cefc421bb6b6f24ad599b515533849fbb8e5028d98c5536"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HPP3U23SDQAP2EBWHFC4RGLBZW/bundle.json","state_url":"https://pith.science/pith/HPP3U23SDQAP2EBWHFC4RGLBZW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HPP3U23SDQAP2EBWHFC4RGLBZW/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":"2026-06-03T07:22:33Z","links":{"resolver":"https://pith.science/pith/HPP3U23SDQAP2EBWHFC4RGLBZW","bundle":"https://pith.science/pith/HPP3U23SDQAP2EBWHFC4RGLBZW/bundle.json","state":"https://pith.science/pith/HPP3U23SDQAP2EBWHFC4RGLBZW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HPP3U23SDQAP2EBWHFC4RGLBZW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:HPP3U23SDQAP2EBWHFC4RGLBZW","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":"b06433ecda3216b522f69cd7a4bbcd1eed3b90b168beec12ca925082ec456e3c","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-08-16T17:54:40Z","title_canon_sha256":"92f6040f3cc7272deeb73a742cbd9237c0dbdf3cc20e7641d09bbf0e4c2d1c1c"},"schema_version":"1.0","source":{"id":"1608.04689","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.04689","created_at":"2026-05-18T01:08:36Z"},{"alias_kind":"arxiv_version","alias_value":"1608.04689v1","created_at":"2026-05-18T01:08:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.04689","created_at":"2026-05-18T01:08:36Z"},{"alias_kind":"pith_short_12","alias_value":"HPP3U23SDQAP","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"HPP3U23SDQAP2EBW","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"HPP3U23S","created_at":"2026-05-18T12:30:19Z"}],"graph_snapshots":[{"event_id":"sha256:bc560f643f7945e63cefc421bb6b6f24ad599b515533849fbb8e5028d98c5536","target":"graph","created_at":"2026-05-18T01:08:36Z","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":"Explicit high-order feature interactions efficiently capture essential structural knowledge about the data of interest and have been used for constructing generative models. We present a supervised discriminative High-Order Parametric Embedding (HOPE) approach to data visualization and compression. Compared to deep embedding models with complicated deep architectures, HOPE generates more effective high-order feature mapping through an embarrassingly simple shallow model. Furthermore, two approaches to generating a small number of exemplars conveying high-order interactions to represent large-s","authors_text":"Dongjin Song, Hongyu Guo, Martin Renqiang Min","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-08-16T17:54:40Z","title":"A Shallow High-Order Parametric Approach to Data Visualization and Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.04689","kind":"arxiv","version":1},"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":"sha256:77c9de39ad03cfd4527e76f0a61ccbd1abec93637e34cf94c9725c1003260dc4","target":"record","created_at":"2026-05-18T01:08:36Z","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":"b06433ecda3216b522f69cd7a4bbcd1eed3b90b168beec12ca925082ec456e3c","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-08-16T17:54:40Z","title_canon_sha256":"92f6040f3cc7272deeb73a742cbd9237c0dbdf3cc20e7641d09bbf0e4c2d1c1c"},"schema_version":"1.0","source":{"id":"1608.04689","kind":"arxiv","version":1}},"canonical_sha256":"3bdfba6b721c00fd10363945c89961cdadcea00ee5339a0c9400680959affab5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3bdfba6b721c00fd10363945c89961cdadcea00ee5339a0c9400680959affab5","first_computed_at":"2026-05-18T01:08:36.527665Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:08:36.527665Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LYMgKQh6NWD5uuTvKnOs/KCQd5Baci+zRCUKDgWRXN5i2TFyVp74gK2knLZHtDY/n5TDYNaZ4BN4kbWNg0t4BQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:08:36.528242Z","signed_message":"canonical_sha256_bytes"},"source_id":"1608.04689","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:77c9de39ad03cfd4527e76f0a61ccbd1abec93637e34cf94c9725c1003260dc4","sha256:bc560f643f7945e63cefc421bb6b6f24ad599b515533849fbb8e5028d98c5536"],"state_sha256":"55c4bfd762dfb999e24ad3fee7be690cc14b7d2fdae7e584804d88932025e7db"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uUOPnI9edlRz6l2pkFbeFNBGLrPNhmBp/n0FYSPEX05+n3BZSLzA0nYq4cu3tZmJFoBMUllHXxUylilTBs79BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T07:22:33.637581Z","bundle_sha256":"4d6079b396010a1a6dbe7a296dcb86e858b12e9dd556a27c7ba13184e06a620a"}}