{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:S3ZEYBHBXU5HRFV62FIP2R27RK","short_pith_number":"pith:S3ZEYBHB","canonical_record":{"source":{"id":"1502.02377","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-02-09T06:42:02Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"8eed68b29c6ece1fdb22e55e00d8b02e8a89cf7c9dfbd1df17244ae1e68886b4","abstract_canon_sha256":"40a49934a2c60632cc61a748b1542e2ee2cc081024453947827a5be8b7ab6fea"},"schema_version":"1.0"},"canonical_sha256":"96f24c04e1bd3a7896bed150fd475f8aac8bd1c0e40e3beb7bf8bd049eb13e8b","source":{"kind":"arxiv","id":"1502.02377","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1502.02377","created_at":"2026-05-18T01:19:12Z"},{"alias_kind":"arxiv_version","alias_value":"1502.02377v2","created_at":"2026-05-18T01:19:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1502.02377","created_at":"2026-05-18T01:19:12Z"},{"alias_kind":"pith_short_12","alias_value":"S3ZEYBHBXU5H","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_16","alias_value":"S3ZEYBHBXU5HRFV6","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_8","alias_value":"S3ZEYBHB","created_at":"2026-05-18T12:29:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:S3ZEYBHBXU5HRFV62FIP2R27RK","target":"record","payload":{"canonical_record":{"source":{"id":"1502.02377","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-02-09T06:42:02Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"8eed68b29c6ece1fdb22e55e00d8b02e8a89cf7c9dfbd1df17244ae1e68886b4","abstract_canon_sha256":"40a49934a2c60632cc61a748b1542e2ee2cc081024453947827a5be8b7ab6fea"},"schema_version":"1.0"},"canonical_sha256":"96f24c04e1bd3a7896bed150fd475f8aac8bd1c0e40e3beb7bf8bd049eb13e8b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:19:12.404862Z","signature_b64":"pjgOOzCZ7bK/iu3UmtISIUdtUjCjdr1jsfNIZho79D6uxx/1WE9e6+0rvwaVBsMBY8VswFDdq0TjrQuVKo5VAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"96f24c04e1bd3a7896bed150fd475f8aac8bd1c0e40e3beb7bf8bd049eb13e8b","last_reissued_at":"2026-05-18T01:19:12.404186Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:19:12.404186Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1502.02377","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":"2026-05-18T01:19:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VRAMV4LjGjycybup/s27MMGBHp0/pdN5MLq2BPQuKrj9vz3lQrYvIyPInPQ7WinT1N2RJ+I14rcj5WNuljx3Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T21:54:25.349748Z"},"content_sha256":"79ac20cfccba78396f50360aa7f385739ed0be40e306e8fa85abe2da05268946","schema_version":"1.0","event_id":"sha256:79ac20cfccba78396f50360aa7f385739ed0be40e306e8fa85abe2da05268946"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:S3ZEYBHBXU5HRFV62FIP2R27RK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sparse Coding with Earth Mover's Distance for Multi-Instance Histogram Representation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Jianhua Peng, Jim Jing-Yan Wang, Mohua Zhang, Xuejie Liu","submitted_at":"2015-02-09T06:42:02Z","abstract_excerpt":"Sparse coding (Sc) has been studied very well as a powerful data representation method. It attempts to represent the feature vector of a data sample by reconstructing it as the sparse linear combination of some basic elements, and a $L_2$ norm distance function is usually used as the loss function for the reconstruction error. In this paper, we investigate using Sc as the representation method within multi-instance learning framework, where a sample is given as a bag of instances, and further represented as a histogram of the quantized instances. We argue that for the data type of histogram, u"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1502.02377","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:19:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PgUgrZWum/KwwEkC2pqbnd3/Zuv+ZRa9g0Ub2uJJXDN1fDt0f0w3RvcA1WI0DdFUtrLq6epBRwdWuwANrlaHDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T21:54:25.350102Z"},"content_sha256":"22d377011c666f9d102621143161d90e2132bc0592ba824a999d00d2faaa651a","schema_version":"1.0","event_id":"sha256:22d377011c666f9d102621143161d90e2132bc0592ba824a999d00d2faaa651a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S3ZEYBHBXU5HRFV62FIP2R27RK/bundle.json","state_url":"https://pith.science/pith/S3ZEYBHBXU5HRFV62FIP2R27RK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S3ZEYBHBXU5HRFV62FIP2R27RK/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":"2026-06-28T21:54:25Z","links":{"resolver":"https://pith.science/pith/S3ZEYBHBXU5HRFV62FIP2R27RK","bundle":"https://pith.science/pith/S3ZEYBHBXU5HRFV62FIP2R27RK/bundle.json","state":"https://pith.science/pith/S3ZEYBHBXU5HRFV62FIP2R27RK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S3ZEYBHBXU5HRFV62FIP2R27RK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:S3ZEYBHBXU5HRFV62FIP2R27RK","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":"40a49934a2c60632cc61a748b1542e2ee2cc081024453947827a5be8b7ab6fea","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-02-09T06:42:02Z","title_canon_sha256":"8eed68b29c6ece1fdb22e55e00d8b02e8a89cf7c9dfbd1df17244ae1e68886b4"},"schema_version":"1.0","source":{"id":"1502.02377","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1502.02377","created_at":"2026-05-18T01:19:12Z"},{"alias_kind":"arxiv_version","alias_value":"1502.02377v2","created_at":"2026-05-18T01:19:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1502.02377","created_at":"2026-05-18T01:19:12Z"},{"alias_kind":"pith_short_12","alias_value":"S3ZEYBHBXU5H","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_16","alias_value":"S3ZEYBHBXU5HRFV6","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_8","alias_value":"S3ZEYBHB","created_at":"2026-05-18T12:29:39Z"}],"graph_snapshots":[{"event_id":"sha256:22d377011c666f9d102621143161d90e2132bc0592ba824a999d00d2faaa651a","target":"graph","created_at":"2026-05-18T01:19:12Z","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":"Sparse coding (Sc) has been studied very well as a powerful data representation method. It attempts to represent the feature vector of a data sample by reconstructing it as the sparse linear combination of some basic elements, and a $L_2$ norm distance function is usually used as the loss function for the reconstruction error. In this paper, we investigate using Sc as the representation method within multi-instance learning framework, where a sample is given as a bag of instances, and further represented as a histogram of the quantized instances. We argue that for the data type of histogram, u","authors_text":"Jianhua Peng, Jim Jing-Yan Wang, Mohua Zhang, Xuejie Liu","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-02-09T06:42:02Z","title":"Sparse Coding with Earth Mover's Distance for Multi-Instance Histogram Representation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1502.02377","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":"sha256:79ac20cfccba78396f50360aa7f385739ed0be40e306e8fa85abe2da05268946","target":"record","created_at":"2026-05-18T01:19:12Z","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":"40a49934a2c60632cc61a748b1542e2ee2cc081024453947827a5be8b7ab6fea","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-02-09T06:42:02Z","title_canon_sha256":"8eed68b29c6ece1fdb22e55e00d8b02e8a89cf7c9dfbd1df17244ae1e68886b4"},"schema_version":"1.0","source":{"id":"1502.02377","kind":"arxiv","version":2}},"canonical_sha256":"96f24c04e1bd3a7896bed150fd475f8aac8bd1c0e40e3beb7bf8bd049eb13e8b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"96f24c04e1bd3a7896bed150fd475f8aac8bd1c0e40e3beb7bf8bd049eb13e8b","first_computed_at":"2026-05-18T01:19:12.404186Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:19:12.404186Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pjgOOzCZ7bK/iu3UmtISIUdtUjCjdr1jsfNIZho79D6uxx/1WE9e6+0rvwaVBsMBY8VswFDdq0TjrQuVKo5VAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:19:12.404862Z","signed_message":"canonical_sha256_bytes"},"source_id":"1502.02377","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:79ac20cfccba78396f50360aa7f385739ed0be40e306e8fa85abe2da05268946","sha256:22d377011c666f9d102621143161d90e2132bc0592ba824a999d00d2faaa651a"],"state_sha256":"bb744a7e076a959261d11c5e613db4ad3f1ff964231da2f105dc6175823cc980"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MUcGCQXFQdAb0NXxEjZAlPOOfi/FsMXyyvtYx3c6NpkE9V5tU2aAyjrtsyvqX8xOvXsMqAqKf9H4f5/FlbmLDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T21:54:25.352020Z","bundle_sha256":"3429ade28f06c972c7819ac6481ab9bf8278213a7ed6d39f4f3db1079e5da93e"}}