{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:H7AESIKAQKURICK4Q27D3HOAG3","short_pith_number":"pith:H7AESIKA","canonical_record":{"source":{"id":"2402.08441","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-13T13:25:51Z","cross_cats_sorted":[],"title_canon_sha256":"e3ba51e149291ebb338991452133b88f1d11a41b720f111ac145a9d8a13c90df","abstract_canon_sha256":"ef97ffa08817ad41b7e5b280e12a690b1bc0bffa503ce261eee81b72204c484c"},"schema_version":"1.0"},"canonical_sha256":"3fc049214082a914095c86be3d9dc036f11218ac4e0f26e4b4809d8997799952","source":{"kind":"arxiv","id":"2402.08441","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.08441","created_at":"2026-07-05T11:59:51Z"},{"alias_kind":"arxiv_version","alias_value":"2402.08441v3","created_at":"2026-07-05T11:59:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.08441","created_at":"2026-07-05T11:59:51Z"},{"alias_kind":"pith_short_12","alias_value":"H7AESIKAQKUR","created_at":"2026-07-05T11:59:51Z"},{"alias_kind":"pith_short_16","alias_value":"H7AESIKAQKURICK4","created_at":"2026-07-05T11:59:51Z"},{"alias_kind":"pith_short_8","alias_value":"H7AESIKA","created_at":"2026-07-05T11:59:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:H7AESIKAQKURICK4Q27D3HOAG3","target":"record","payload":{"canonical_record":{"source":{"id":"2402.08441","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-13T13:25:51Z","cross_cats_sorted":[],"title_canon_sha256":"e3ba51e149291ebb338991452133b88f1d11a41b720f111ac145a9d8a13c90df","abstract_canon_sha256":"ef97ffa08817ad41b7e5b280e12a690b1bc0bffa503ce261eee81b72204c484c"},"schema_version":"1.0"},"canonical_sha256":"3fc049214082a914095c86be3d9dc036f11218ac4e0f26e4b4809d8997799952","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:59:51.484448Z","signature_b64":"/nlk8GjqaJrzONefUHPDh2wmR5ahBViGqfF9NmVTlRZnkx5DGFCm1kFVN50RDooLPDM3Q7x6CT0opHcrZ7uDCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3fc049214082a914095c86be3d9dc036f11218ac4e0f26e4b4809d8997799952","last_reissued_at":"2026-07-05T11:59:51.483977Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:59:51.483977Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.08441","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":"2026-07-05T11:59:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ko1HfGKPqOfBaFrmpujSGjxFBGejIjM6dXGakvKSz9AMmvQH/cR02OVvvBHAQQgKe+5H+fyDyGESSFpIh13FAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T01:38:33.149670Z"},"content_sha256":"3eb890157741c51b83d2c63631343c872e334c26356bfc5418e5693442e8f4c9","schema_version":"1.0","event_id":"sha256:3eb890157741c51b83d2c63631343c872e334c26356bfc5418e5693442e8f4c9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:H7AESIKAQKURICK4Q27D3HOAG3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Latent space configuration for improved generalization in supervised autoencoder neural networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Nikita Gabdullin","submitted_at":"2024-02-13T13:25:51Z","abstract_excerpt":"Autoencoders (AE) are simple yet powerful class of neural networks that compress data by projecting input into low-dimensional latent space (LS). Whereas LS is formed according to the loss function minimization during training, its properties and topology are not controlled directly. In this paper we focus on AE LS properties and propose two methods for obtaining LS with desired topology, called LS configuration. The proposed methods include loss configuration using a geometric loss term that acts directly in LS, and encoder configuration. We show that the former allows to reliably obtain LS w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.08441","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2402.08441/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:59:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8z2ixq1BmH3JYWWqx103KHHIQyK6opoBL7I7PO6hwB9uBz1CSdngZxegu34tn3MLW0HsRNQSA7wQ2giqOAF0Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T01:38:33.150158Z"},"content_sha256":"c04e2d9e3ff1a3a66442247519566d9f5808ea57b83d3d5918b87d421f52a4ac","schema_version":"1.0","event_id":"sha256:c04e2d9e3ff1a3a66442247519566d9f5808ea57b83d3d5918b87d421f52a4ac"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H7AESIKAQKURICK4Q27D3HOAG3/bundle.json","state_url":"https://pith.science/pith/H7AESIKAQKURICK4Q27D3HOAG3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H7AESIKAQKURICK4Q27D3HOAG3/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":"2026-08-09T01:38:33Z","links":{"resolver":"https://pith.science/pith/H7AESIKAQKURICK4Q27D3HOAG3","bundle":"https://pith.science/pith/H7AESIKAQKURICK4Q27D3HOAG3/bundle.json","state":"https://pith.science/pith/H7AESIKAQKURICK4Q27D3HOAG3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H7AESIKAQKURICK4Q27D3HOAG3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:H7AESIKAQKURICK4Q27D3HOAG3","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":"ef97ffa08817ad41b7e5b280e12a690b1bc0bffa503ce261eee81b72204c484c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-13T13:25:51Z","title_canon_sha256":"e3ba51e149291ebb338991452133b88f1d11a41b720f111ac145a9d8a13c90df"},"schema_version":"1.0","source":{"id":"2402.08441","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.08441","created_at":"2026-07-05T11:59:51Z"},{"alias_kind":"arxiv_version","alias_value":"2402.08441v3","created_at":"2026-07-05T11:59:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.08441","created_at":"2026-07-05T11:59:51Z"},{"alias_kind":"pith_short_12","alias_value":"H7AESIKAQKUR","created_at":"2026-07-05T11:59:51Z"},{"alias_kind":"pith_short_16","alias_value":"H7AESIKAQKURICK4","created_at":"2026-07-05T11:59:51Z"},{"alias_kind":"pith_short_8","alias_value":"H7AESIKA","created_at":"2026-07-05T11:59:51Z"}],"graph_snapshots":[{"event_id":"sha256:c04e2d9e3ff1a3a66442247519566d9f5808ea57b83d3d5918b87d421f52a4ac","target":"graph","created_at":"2026-07-05T11:59:51Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2402.08441/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autoencoders (AE) are simple yet powerful class of neural networks that compress data by projecting input into low-dimensional latent space (LS). Whereas LS is formed according to the loss function minimization during training, its properties and topology are not controlled directly. In this paper we focus on AE LS properties and propose two methods for obtaining LS with desired topology, called LS configuration. The proposed methods include loss configuration using a geometric loss term that acts directly in LS, and encoder configuration. We show that the former allows to reliably obtain LS w","authors_text":"Nikita Gabdullin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-13T13:25:51Z","title":"Latent space configuration for improved generalization in supervised autoencoder neural networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.08441","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":"sha256:3eb890157741c51b83d2c63631343c872e334c26356bfc5418e5693442e8f4c9","target":"record","created_at":"2026-07-05T11:59:51Z","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":"ef97ffa08817ad41b7e5b280e12a690b1bc0bffa503ce261eee81b72204c484c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-13T13:25:51Z","title_canon_sha256":"e3ba51e149291ebb338991452133b88f1d11a41b720f111ac145a9d8a13c90df"},"schema_version":"1.0","source":{"id":"2402.08441","kind":"arxiv","version":3}},"canonical_sha256":"3fc049214082a914095c86be3d9dc036f11218ac4e0f26e4b4809d8997799952","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3fc049214082a914095c86be3d9dc036f11218ac4e0f26e4b4809d8997799952","first_computed_at":"2026-07-05T11:59:51.483977Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:59:51.483977Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/nlk8GjqaJrzONefUHPDh2wmR5ahBViGqfF9NmVTlRZnkx5DGFCm1kFVN50RDooLPDM3Q7x6CT0opHcrZ7uDCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:59:51.484448Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.08441","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3eb890157741c51b83d2c63631343c872e334c26356bfc5418e5693442e8f4c9","sha256:c04e2d9e3ff1a3a66442247519566d9f5808ea57b83d3d5918b87d421f52a4ac"],"state_sha256":"5b88fe39e7ac8083e2d2ea2078aeb599dbeea1af219f37045adcbecd9eb24c80"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vvY4Ad8aEPJtCWCj2Bm5V7eIRXgEKSQb4dNjIJn0iW5qLGm9qGcTLtWJCcSmQ/wHNhq8OaA6S0jrB82FOO/9Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T01:38:33.155181Z","bundle_sha256":"99b8427c0023c07e815da317a8065818f4c0bf1ee097a1918ee74ff6105a062b"}}