{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:BMKN3GPHQQG4OFR2MCV4RA4B57","short_pith_number":"pith:BMKN3GPH","canonical_record":{"source":{"id":"2308.04706","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-09T04:57:56Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"41b6b1477ba570cf9679d24ede56539c7a11d89be5a9d88d7a11eb654a10c922","abstract_canon_sha256":"6ee76bfd321cf6bda9f3a76b3fe0aa3d4f536bdc0382b047716d486616fc721f"},"schema_version":"1.0"},"canonical_sha256":"0b14dd99e7840dc7163a60abc88381efc492dbe8b25e95238d332d53a82f6403","source":{"kind":"arxiv","id":"2308.04706","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.04706","created_at":"2026-07-05T06:44:08Z"},{"alias_kind":"arxiv_version","alias_value":"2308.04706v2","created_at":"2026-07-05T06:44:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.04706","created_at":"2026-07-05T06:44:08Z"},{"alias_kind":"pith_short_12","alias_value":"BMKN3GPHQQG4","created_at":"2026-07-05T06:44:08Z"},{"alias_kind":"pith_short_16","alias_value":"BMKN3GPHQQG4OFR2","created_at":"2026-07-05T06:44:08Z"},{"alias_kind":"pith_short_8","alias_value":"BMKN3GPH","created_at":"2026-07-05T06:44:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:BMKN3GPHQQG4OFR2MCV4RA4B57","target":"record","payload":{"canonical_record":{"source":{"id":"2308.04706","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-09T04:57:56Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"41b6b1477ba570cf9679d24ede56539c7a11d89be5a9d88d7a11eb654a10c922","abstract_canon_sha256":"6ee76bfd321cf6bda9f3a76b3fe0aa3d4f536bdc0382b047716d486616fc721f"},"schema_version":"1.0"},"canonical_sha256":"0b14dd99e7840dc7163a60abc88381efc492dbe8b25e95238d332d53a82f6403","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:44:08.853400Z","signature_b64":"vr/y3PRlmqW9SzDmzIKp/XaCuACwx0pJBmkUYhtxLogfVyilny1EX4odp0QrY3asILeIGbrQfYPdSAv+YZGVDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0b14dd99e7840dc7163a60abc88381efc492dbe8b25e95238d332d53a82f6403","last_reissued_at":"2026-07-05T06:44:08.852845Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:44:08.852845Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.04706","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":"2026-07-05T06:44:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PxH7Ggw7gdCkuD0HJu4nzjF9z0lsNporSjx15l1XyROogkZwZfdElYZq+cOU1XtXXB261RYU6nndJezqsu1sBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T02:25:03.500335Z"},"content_sha256":"93e6f2493f52ae2c573ad47637d0845d5567fbfeffec2a6fd2b2d6ac629e6aa7","schema_version":"1.0","event_id":"sha256:93e6f2493f52ae2c573ad47637d0845d5567fbfeffec2a6fd2b2d6ac629e6aa7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:BMKN3GPHQQG4OFR2MCV4RA4B57","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Pareto Invariant Representation Learning for Multimedia Recommendation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Chunyuan Zheng, Haoxuan Li, Li Liu, Qingsong Li, Shanshan Huang","submitted_at":"2023-08-09T04:57:56Z","abstract_excerpt":"Multimedia recommendation involves personalized ranking tasks, where multimedia content is usually represented using a generic encoder. However, these generic representations introduce spurious correlations that fail to reveal users' true preferences. Existing works attempt to alleviate this problem by learning invariant representations, but overlook the balance between independent and identically distributed (IID) and out-of-distribution (OOD) generalization. In this paper, we propose a framework called Pareto Invariant Representation Learning (PaInvRL) to mitigate the impact of spurious corr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.04706","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2308.04706/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":"2026-07-05T06:44:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bHwwSCO1PRcDAXlxXFYz+A8r8SofFISgxKd+mIi4g6T+h48BTcW4UCqcDCHsDvgK79qok+xBkK3NNLlixR5rDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T02:25:03.500822Z"},"content_sha256":"9253cec7bcd37f8cdf642d421fe9a654df92d830d63a04f0ffd1b3792df7ddea","schema_version":"1.0","event_id":"sha256:9253cec7bcd37f8cdf642d421fe9a654df92d830d63a04f0ffd1b3792df7ddea"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BMKN3GPHQQG4OFR2MCV4RA4B57/bundle.json","state_url":"https://pith.science/pith/BMKN3GPHQQG4OFR2MCV4RA4B57/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BMKN3GPHQQG4OFR2MCV4RA4B57/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":"2026-08-20T02:25:03Z","links":{"resolver":"https://pith.science/pith/BMKN3GPHQQG4OFR2MCV4RA4B57","bundle":"https://pith.science/pith/BMKN3GPHQQG4OFR2MCV4RA4B57/bundle.json","state":"https://pith.science/pith/BMKN3GPHQQG4OFR2MCV4RA4B57/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BMKN3GPHQQG4OFR2MCV4RA4B57/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:BMKN3GPHQQG4OFR2MCV4RA4B57","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":"6ee76bfd321cf6bda9f3a76b3fe0aa3d4f536bdc0382b047716d486616fc721f","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-09T04:57:56Z","title_canon_sha256":"41b6b1477ba570cf9679d24ede56539c7a11d89be5a9d88d7a11eb654a10c922"},"schema_version":"1.0","source":{"id":"2308.04706","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.04706","created_at":"2026-07-05T06:44:08Z"},{"alias_kind":"arxiv_version","alias_value":"2308.04706v2","created_at":"2026-07-05T06:44:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.04706","created_at":"2026-07-05T06:44:08Z"},{"alias_kind":"pith_short_12","alias_value":"BMKN3GPHQQG4","created_at":"2026-07-05T06:44:08Z"},{"alias_kind":"pith_short_16","alias_value":"BMKN3GPHQQG4OFR2","created_at":"2026-07-05T06:44:08Z"},{"alias_kind":"pith_short_8","alias_value":"BMKN3GPH","created_at":"2026-07-05T06:44:08Z"}],"graph_snapshots":[{"event_id":"sha256:9253cec7bcd37f8cdf642d421fe9a654df92d830d63a04f0ffd1b3792df7ddea","target":"graph","created_at":"2026-07-05T06:44:08Z","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/2308.04706/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimedia recommendation involves personalized ranking tasks, where multimedia content is usually represented using a generic encoder. However, these generic representations introduce spurious correlations that fail to reveal users' true preferences. Existing works attempt to alleviate this problem by learning invariant representations, but overlook the balance between independent and identically distributed (IID) and out-of-distribution (OOD) generalization. In this paper, we propose a framework called Pareto Invariant Representation Learning (PaInvRL) to mitigate the impact of spurious corr","authors_text":"Chunyuan Zheng, Haoxuan Li, Li Liu, Qingsong Li, Shanshan Huang","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-09T04:57:56Z","title":"Pareto Invariant Representation Learning for Multimedia Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.04706","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":"sha256:93e6f2493f52ae2c573ad47637d0845d5567fbfeffec2a6fd2b2d6ac629e6aa7","target":"record","created_at":"2026-07-05T06:44:08Z","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":"6ee76bfd321cf6bda9f3a76b3fe0aa3d4f536bdc0382b047716d486616fc721f","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-09T04:57:56Z","title_canon_sha256":"41b6b1477ba570cf9679d24ede56539c7a11d89be5a9d88d7a11eb654a10c922"},"schema_version":"1.0","source":{"id":"2308.04706","kind":"arxiv","version":2}},"canonical_sha256":"0b14dd99e7840dc7163a60abc88381efc492dbe8b25e95238d332d53a82f6403","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0b14dd99e7840dc7163a60abc88381efc492dbe8b25e95238d332d53a82f6403","first_computed_at":"2026-07-05T06:44:08.852845Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:44:08.852845Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vr/y3PRlmqW9SzDmzIKp/XaCuACwx0pJBmkUYhtxLogfVyilny1EX4odp0QrY3asILeIGbrQfYPdSAv+YZGVDg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:44:08.853400Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.04706","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:93e6f2493f52ae2c573ad47637d0845d5567fbfeffec2a6fd2b2d6ac629e6aa7","sha256:9253cec7bcd37f8cdf642d421fe9a654df92d830d63a04f0ffd1b3792df7ddea"],"state_sha256":"5c2ca0cef49a54b00794d021d31e018397fb027fb51684055b3e83a0e9bdf771"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y9gUizvBFyhO5pjgFVITfHtRgqt5GEOu8gPb/mwFk+WqtHX09VIgvhzwMzvl7uQLoBHl4b4B6lpuXlh6vVqQAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T02:25:03.504343Z","bundle_sha256":"8a5ba078bfb3c67f0c53038044158efe07ed23102c2abfcffea3800fe0f6e6b7"}}