{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:MVDPONVN5HYDW66V4BBSOAZ2AS","short_pith_number":"pith:MVDPONVN","canonical_record":{"source":{"id":"2310.17373","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-26T13:10:59Z","cross_cats_sorted":[],"title_canon_sha256":"11ec3fe4d883c0924e5579e958fa49a3c8dabfa59f65af7338798d4596dfe77d","abstract_canon_sha256":"e0e26cbf4e68b53e9dbd8463b2ad2a80beb4f1b232c9d73ee4d23e2dd46f0438"},"schema_version":"1.0"},"canonical_sha256":"6546f736ade9f03b7bd5e04327033a04afe1237a4ff38da7bed35624dc355415","source":{"kind":"arxiv","id":"2310.17373","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.17373","created_at":"2026-07-05T11:19:18Z"},{"alias_kind":"arxiv_version","alias_value":"2310.17373v3","created_at":"2026-07-05T11:19:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.17373","created_at":"2026-07-05T11:19:18Z"},{"alias_kind":"pith_short_12","alias_value":"MVDPONVN5HYD","created_at":"2026-07-05T11:19:18Z"},{"alias_kind":"pith_short_16","alias_value":"MVDPONVN5HYDW66V","created_at":"2026-07-05T11:19:18Z"},{"alias_kind":"pith_short_8","alias_value":"MVDPONVN","created_at":"2026-07-05T11:19:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:MVDPONVN5HYDW66V4BBSOAZ2AS","target":"record","payload":{"canonical_record":{"source":{"id":"2310.17373","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-26T13:10:59Z","cross_cats_sorted":[],"title_canon_sha256":"11ec3fe4d883c0924e5579e958fa49a3c8dabfa59f65af7338798d4596dfe77d","abstract_canon_sha256":"e0e26cbf4e68b53e9dbd8463b2ad2a80beb4f1b232c9d73ee4d23e2dd46f0438"},"schema_version":"1.0"},"canonical_sha256":"6546f736ade9f03b7bd5e04327033a04afe1237a4ff38da7bed35624dc355415","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:19:18.147684Z","signature_b64":"HXmrz/xYbeZpFeBEZJIXjzWIcuZpvLrpfX3OH4Pnv4HTAO/tfBZWnjJCpnYyLuoqMPj1TndU5ewDT0zdMP9aBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6546f736ade9f03b7bd5e04327033a04afe1237a4ff38da7bed35624dc355415","last_reissued_at":"2026-07-05T11:19:18.147203Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:19:18.147203Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.17373","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":"2026-07-05T11:19:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j+5DNkTf4YwxZR577weoesuJJG/x/9gPEJBy9kVeCfJYqe4rUUDxHsJFg4OnkrU8xZRzZqoiTQFtvi1K35ZpBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T21:58:29.764750Z"},"content_sha256":"cf277e72a036161ad7acf2dd95aad7bf9cf82b23a58dc29ecd261f51ad4e96a2","schema_version":"1.0","event_id":"sha256:cf277e72a036161ad7acf2dd95aad7bf9cf82b23a58dc29ecd261f51ad4e96a2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:MVDPONVN5HYDW66V4BBSOAZ2AS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Causality-Inspired Fair Representation Learning for Multimodal Recommendation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Li Chen, Weixin Chen, Yongxin Ni, Yuhan Zhao","submitted_at":"2023-10-26T13:10:59Z","abstract_excerpt":"Recently, multimodal recommendations (MMR) have gained increasing attention for alleviating the data sparsity problem of traditional recommender systems by incorporating modality-based representations. Although MMR exhibits notable improvement in recommendation accuracy, we empirically validate that an increase in the quantity or variety of modalities leads to a higher degree of users' sensitive information leakage due to entangled causal relationships, risking fair representation learning. On the other hand, existing fair representation learning approaches are mostly based on the assumption t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.17373","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/2310.17373/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":"2026-07-05T11:19:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tQh0WGFM1VWpYwLwPB4Shh9ikQ4hXZe7M1Bhwrx+gbxrKl2lWS3rUGVaPEHBsPVH0ttKIyhJO1KuBAc4k4wuDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T21:58:29.765241Z"},"content_sha256":"6a2cd2145126e6c29a98895410ee39435fa0f8cad09517fe723f431479b6b788","schema_version":"1.0","event_id":"sha256:6a2cd2145126e6c29a98895410ee39435fa0f8cad09517fe723f431479b6b788"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MVDPONVN5HYDW66V4BBSOAZ2AS/bundle.json","state_url":"https://pith.science/pith/MVDPONVN5HYDW66V4BBSOAZ2AS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MVDPONVN5HYDW66V4BBSOAZ2AS/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":"2026-08-10T21:58:29Z","links":{"resolver":"https://pith.science/pith/MVDPONVN5HYDW66V4BBSOAZ2AS","bundle":"https://pith.science/pith/MVDPONVN5HYDW66V4BBSOAZ2AS/bundle.json","state":"https://pith.science/pith/MVDPONVN5HYDW66V4BBSOAZ2AS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MVDPONVN5HYDW66V4BBSOAZ2AS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:MVDPONVN5HYDW66V4BBSOAZ2AS","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":"e0e26cbf4e68b53e9dbd8463b2ad2a80beb4f1b232c9d73ee4d23e2dd46f0438","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-26T13:10:59Z","title_canon_sha256":"11ec3fe4d883c0924e5579e958fa49a3c8dabfa59f65af7338798d4596dfe77d"},"schema_version":"1.0","source":{"id":"2310.17373","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.17373","created_at":"2026-07-05T11:19:18Z"},{"alias_kind":"arxiv_version","alias_value":"2310.17373v3","created_at":"2026-07-05T11:19:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.17373","created_at":"2026-07-05T11:19:18Z"},{"alias_kind":"pith_short_12","alias_value":"MVDPONVN5HYD","created_at":"2026-07-05T11:19:18Z"},{"alias_kind":"pith_short_16","alias_value":"MVDPONVN5HYDW66V","created_at":"2026-07-05T11:19:18Z"},{"alias_kind":"pith_short_8","alias_value":"MVDPONVN","created_at":"2026-07-05T11:19:18Z"}],"graph_snapshots":[{"event_id":"sha256:6a2cd2145126e6c29a98895410ee39435fa0f8cad09517fe723f431479b6b788","target":"graph","created_at":"2026-07-05T11:19:18Z","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/2310.17373/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, multimodal recommendations (MMR) have gained increasing attention for alleviating the data sparsity problem of traditional recommender systems by incorporating modality-based representations. Although MMR exhibits notable improvement in recommendation accuracy, we empirically validate that an increase in the quantity or variety of modalities leads to a higher degree of users' sensitive information leakage due to entangled causal relationships, risking fair representation learning. On the other hand, existing fair representation learning approaches are mostly based on the assumption t","authors_text":"Li Chen, Weixin Chen, Yongxin Ni, Yuhan Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-26T13:10:59Z","title":"Causality-Inspired Fair Representation Learning for Multimodal Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.17373","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:cf277e72a036161ad7acf2dd95aad7bf9cf82b23a58dc29ecd261f51ad4e96a2","target":"record","created_at":"2026-07-05T11:19:18Z","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":"e0e26cbf4e68b53e9dbd8463b2ad2a80beb4f1b232c9d73ee4d23e2dd46f0438","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-26T13:10:59Z","title_canon_sha256":"11ec3fe4d883c0924e5579e958fa49a3c8dabfa59f65af7338798d4596dfe77d"},"schema_version":"1.0","source":{"id":"2310.17373","kind":"arxiv","version":3}},"canonical_sha256":"6546f736ade9f03b7bd5e04327033a04afe1237a4ff38da7bed35624dc355415","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6546f736ade9f03b7bd5e04327033a04afe1237a4ff38da7bed35624dc355415","first_computed_at":"2026-07-05T11:19:18.147203Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:19:18.147203Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HXmrz/xYbeZpFeBEZJIXjzWIcuZpvLrpfX3OH4Pnv4HTAO/tfBZWnjJCpnYyLuoqMPj1TndU5ewDT0zdMP9aBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:19:18.147684Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.17373","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf277e72a036161ad7acf2dd95aad7bf9cf82b23a58dc29ecd261f51ad4e96a2","sha256:6a2cd2145126e6c29a98895410ee39435fa0f8cad09517fe723f431479b6b788"],"state_sha256":"0371c531b263b22a7d9b2f72f415acc083c6266664246ddbf63c02e9281cc276"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hoSFme3bh6wSssrwjoBTzvo0SZnI5035ZP9VGzTaad76Pw9ggmcC7Hu21H3U2XjlFZHbiJbG1PeVDthgZtL8DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T21:58:29.770424Z","bundle_sha256":"e79273627682a936f65289b245a2fadd895be2d068e3b75793f442ab6f9d0275"}}