{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:NPUPSC42YTERBJRSXTWMQIM2UW","short_pith_number":"pith:NPUPSC42","canonical_record":{"source":{"id":"2412.03471","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-04T16:59:37Z","cross_cats_sorted":[],"title_canon_sha256":"8bac3fc2e25b073b07641b6ac319a00013c8a3f86e18c84692e4f16c71da1fde","abstract_canon_sha256":"445476f3b153073da98ece11f993a76c5c9464f9d91ba28a7c28626c841c1e7d"},"schema_version":"1.0"},"canonical_sha256":"6be8f90b9ac4c910a632bcecc8219aa5afc21987d8e510a3f98f1b38fcbe2bce","source":{"kind":"arxiv","id":"2412.03471","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.03471","created_at":"2026-07-05T09:44:30Z"},{"alias_kind":"arxiv_version","alias_value":"2412.03471v1","created_at":"2026-07-05T09:44:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.03471","created_at":"2026-07-05T09:44:30Z"},{"alias_kind":"pith_short_12","alias_value":"NPUPSC42YTER","created_at":"2026-07-05T09:44:30Z"},{"alias_kind":"pith_short_16","alias_value":"NPUPSC42YTERBJRS","created_at":"2026-07-05T09:44:30Z"},{"alias_kind":"pith_short_8","alias_value":"NPUPSC42","created_at":"2026-07-05T09:44:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:NPUPSC42YTERBJRSXTWMQIM2UW","target":"record","payload":{"canonical_record":{"source":{"id":"2412.03471","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-04T16:59:37Z","cross_cats_sorted":[],"title_canon_sha256":"8bac3fc2e25b073b07641b6ac319a00013c8a3f86e18c84692e4f16c71da1fde","abstract_canon_sha256":"445476f3b153073da98ece11f993a76c5c9464f9d91ba28a7c28626c841c1e7d"},"schema_version":"1.0"},"canonical_sha256":"6be8f90b9ac4c910a632bcecc8219aa5afc21987d8e510a3f98f1b38fcbe2bce","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:44:30.072271Z","signature_b64":"IXpQO9+NwguFgvIMxM8oFAXV7Zv/oSoQKRYsXnpBQiVMSsTyk1+RX6syOzUqiMitwoQVo5LMkduGP0LzrAb2BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6be8f90b9ac4c910a632bcecc8219aa5afc21987d8e510a3f98f1b38fcbe2bce","last_reissued_at":"2026-07-05T09:44:30.071808Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:44:30.071808Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.03471","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":"2026-07-05T09:44:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wegK/ZrrNNEblZ3zOe8w5+z6aRk1CUIpA3fvOBah4HEZ1i2Gc8kd/krmSfmPmqwI6D/8rvw7U9beHhEIUGWmDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T17:18:31.615322Z"},"content_sha256":"6b07096e48589cdd0c8efb02d818947126582d66ad6a2b7e96993b9e3b54e96e","schema_version":"1.0","event_id":"sha256:6b07096e48589cdd0c8efb02d818947126582d66ad6a2b7e96993b9e3b54e96e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:NPUPSC42YTERBJRSXTWMQIM2UW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Cluster Specific Representation Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Mahalakshmi Sabanayagam, Omar Al-Dabooni, Pascal Esser","submitted_at":"2024-12-04T16:59:37Z","abstract_excerpt":"Representation learning aims to extract meaningful lower-dimensional embeddings from data, known as representations. Despite its widespread application, there is no established definition of a ``good'' representation. Typically, the representation quality is evaluated based on its performance in downstream tasks such as clustering, de-noising, etc. However, this task-specific approach has a limitation where a representation that performs well for one task may not necessarily be effective for another. This highlights the need for a more agnostic formulation, which is the focus of our work. We p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.03471","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.03471/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":"2026-07-05T09:44:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KtjjPQe5Zik7TUiHxRCPgriZFktH5RuZUO8s55Mdqe8kBAR47yrQ13NZdpA96eCKLnsYuGEvmrMdv74hafFhBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T17:18:31.616110Z"},"content_sha256":"868f266612745c166561fc18c0730380583432bfd7e7c05919c806b86698d5e3","schema_version":"1.0","event_id":"sha256:868f266612745c166561fc18c0730380583432bfd7e7c05919c806b86698d5e3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NPUPSC42YTERBJRSXTWMQIM2UW/bundle.json","state_url":"https://pith.science/pith/NPUPSC42YTERBJRSXTWMQIM2UW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NPUPSC42YTERBJRSXTWMQIM2UW/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":"2026-08-18T17:18:31Z","links":{"resolver":"https://pith.science/pith/NPUPSC42YTERBJRSXTWMQIM2UW","bundle":"https://pith.science/pith/NPUPSC42YTERBJRSXTWMQIM2UW/bundle.json","state":"https://pith.science/pith/NPUPSC42YTERBJRSXTWMQIM2UW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NPUPSC42YTERBJRSXTWMQIM2UW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NPUPSC42YTERBJRSXTWMQIM2UW","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":"445476f3b153073da98ece11f993a76c5c9464f9d91ba28a7c28626c841c1e7d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-04T16:59:37Z","title_canon_sha256":"8bac3fc2e25b073b07641b6ac319a00013c8a3f86e18c84692e4f16c71da1fde"},"schema_version":"1.0","source":{"id":"2412.03471","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.03471","created_at":"2026-07-05T09:44:30Z"},{"alias_kind":"arxiv_version","alias_value":"2412.03471v1","created_at":"2026-07-05T09:44:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.03471","created_at":"2026-07-05T09:44:30Z"},{"alias_kind":"pith_short_12","alias_value":"NPUPSC42YTER","created_at":"2026-07-05T09:44:30Z"},{"alias_kind":"pith_short_16","alias_value":"NPUPSC42YTERBJRS","created_at":"2026-07-05T09:44:30Z"},{"alias_kind":"pith_short_8","alias_value":"NPUPSC42","created_at":"2026-07-05T09:44:30Z"}],"graph_snapshots":[{"event_id":"sha256:868f266612745c166561fc18c0730380583432bfd7e7c05919c806b86698d5e3","target":"graph","created_at":"2026-07-05T09:44:30Z","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/2412.03471/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Representation learning aims to extract meaningful lower-dimensional embeddings from data, known as representations. Despite its widespread application, there is no established definition of a ``good'' representation. Typically, the representation quality is evaluated based on its performance in downstream tasks such as clustering, de-noising, etc. However, this task-specific approach has a limitation where a representation that performs well for one task may not necessarily be effective for another. This highlights the need for a more agnostic formulation, which is the focus of our work. We p","authors_text":"Mahalakshmi Sabanayagam, Omar Al-Dabooni, Pascal Esser","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-04T16:59:37Z","title":"Cluster Specific Representation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.03471","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":"sha256:6b07096e48589cdd0c8efb02d818947126582d66ad6a2b7e96993b9e3b54e96e","target":"record","created_at":"2026-07-05T09:44:30Z","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":"445476f3b153073da98ece11f993a76c5c9464f9d91ba28a7c28626c841c1e7d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-04T16:59:37Z","title_canon_sha256":"8bac3fc2e25b073b07641b6ac319a00013c8a3f86e18c84692e4f16c71da1fde"},"schema_version":"1.0","source":{"id":"2412.03471","kind":"arxiv","version":1}},"canonical_sha256":"6be8f90b9ac4c910a632bcecc8219aa5afc21987d8e510a3f98f1b38fcbe2bce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6be8f90b9ac4c910a632bcecc8219aa5afc21987d8e510a3f98f1b38fcbe2bce","first_computed_at":"2026-07-05T09:44:30.071808Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:44:30.071808Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IXpQO9+NwguFgvIMxM8oFAXV7Zv/oSoQKRYsXnpBQiVMSsTyk1+RX6syOzUqiMitwoQVo5LMkduGP0LzrAb2BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:44:30.072271Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.03471","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b07096e48589cdd0c8efb02d818947126582d66ad6a2b7e96993b9e3b54e96e","sha256:868f266612745c166561fc18c0730380583432bfd7e7c05919c806b86698d5e3"],"state_sha256":"18eb31176ab806f531ca7362eda702aec8b8d565d73a64296c5d4f8217f9ef32"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qeI474gqQdHhJnh/KYx8cjRMY5iBI4sXw1ubyi/P/3S1bWdLOm0MHdyk6p6kOkuo9g8WWUxaJD9I8PkvCMzKBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T17:18:31.624523Z","bundle_sha256":"696451bc2dd7208b6bec90e57c68c16020be16b3ec2f3346de4760089cf97d5d"}}