{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:SEKRBCZZIJ4JO7N6HFLX4F4MWY","short_pith_number":"pith:SEKRBCZZ","canonical_record":{"source":{"id":"2311.02684","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-05T15:48:29Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"ed0cfcd4ba4bd4979268f21e6c88b2769e6cfc8a1970addc9d39c77f7d4e89c4","abstract_canon_sha256":"c43589258cd29e38051ae633fc694cca2445c14b7aa5eed022eb93d66e1f484f"},"schema_version":"1.0"},"canonical_sha256":"9115108b394278977dbe39577e178cb60acb399f23d13043100bda512687b624","source":{"kind":"arxiv","id":"2311.02684","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.02684","created_at":"2026-07-05T09:39:51Z"},{"alias_kind":"arxiv_version","alias_value":"2311.02684v3","created_at":"2026-07-05T09:39:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.02684","created_at":"2026-07-05T09:39:51Z"},{"alias_kind":"pith_short_12","alias_value":"SEKRBCZZIJ4J","created_at":"2026-07-05T09:39:51Z"},{"alias_kind":"pith_short_16","alias_value":"SEKRBCZZIJ4JO7N6","created_at":"2026-07-05T09:39:51Z"},{"alias_kind":"pith_short_8","alias_value":"SEKRBCZZ","created_at":"2026-07-05T09:39:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:SEKRBCZZIJ4JO7N6HFLX4F4MWY","target":"record","payload":{"canonical_record":{"source":{"id":"2311.02684","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-05T15:48:29Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"ed0cfcd4ba4bd4979268f21e6c88b2769e6cfc8a1970addc9d39c77f7d4e89c4","abstract_canon_sha256":"c43589258cd29e38051ae633fc694cca2445c14b7aa5eed022eb93d66e1f484f"},"schema_version":"1.0"},"canonical_sha256":"9115108b394278977dbe39577e178cb60acb399f23d13043100bda512687b624","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:39:51.684413Z","signature_b64":"iiPO6W8YeUTWJha7XInSGNv2HIVYCh6QWb/wKdbYgG/oZx2v5dYNjQ87l/xU8Da5awEr/0Jh/6c0gYCgxQGUDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9115108b394278977dbe39577e178cb60acb399f23d13043100bda512687b624","last_reissued_at":"2026-07-05T09:39:51.683871Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:39:51.683871Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.02684","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":"2026-07-05T09:39:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vW5NfulAFuJ9ffu7XTr9lWILUOiwRLT5fdZEByxMG/tw0HLvYNeDLwNodYG0X2MCiOm+kpliHd2bBbhFIWTVDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T01:11:15.726446Z"},"content_sha256":"51285fb856174b888bc143b3f11832fb29a0160ffd65d1ba5924ac5b28f002be","schema_version":"1.0","event_id":"sha256:51285fb856174b888bc143b3f11832fb29a0160ffd65d1ba5924ac5b28f002be"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:SEKRBCZZIJ4JO7N6HFLX4F4MWY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CV","authors_text":"Huayang Liu, Jing Shao, Lu Sheng, Si Liu, Wanli Ouyang, Yu Qiao, Zeren Chen, Zhenfei Yin, Zhen Wang, Ziqin Wang","submitted_at":"2023-11-05T15:48:29Z","abstract_excerpt":"Recent studies have demonstrated Large Language Models (LLMs) can extend their zero-shot generalization capabilities to multimodal learning through instruction tuning. As more modalities and downstream tasks are introduced, negative conflicts and interference may have a worse impact on performance. While this phenomenon has been overlooked in previous work, we propose a novel and extensible framework, called Octavius, for comprehensive studies and experimentation on multimodal learning with Multimodal Large Language Models (MLLMs). Specifically, we combine the well-known Mixture-of-Experts (Mo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.02684","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/2311.02684/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":"2026-07-05T09:39:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mUnXtJG8Ys3Dgf851KouYoPyAbzeG9eQoFkOrO38usj8D4NXwEah5jqCi/9GOUbnGk2Xh0HWGGo5miTPGCWJAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T01:11:15.726945Z"},"content_sha256":"e3282d4ad1f87a3ace0ec1b0e08b607e98237c2c3163ff2f8625d4fe1ec811fb","schema_version":"1.0","event_id":"sha256:e3282d4ad1f87a3ace0ec1b0e08b607e98237c2c3163ff2f8625d4fe1ec811fb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SEKRBCZZIJ4JO7N6HFLX4F4MWY/bundle.json","state_url":"https://pith.science/pith/SEKRBCZZIJ4JO7N6HFLX4F4MWY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SEKRBCZZIJ4JO7N6HFLX4F4MWY/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":"2026-08-09T01:11:15Z","links":{"resolver":"https://pith.science/pith/SEKRBCZZIJ4JO7N6HFLX4F4MWY","bundle":"https://pith.science/pith/SEKRBCZZIJ4JO7N6HFLX4F4MWY/bundle.json","state":"https://pith.science/pith/SEKRBCZZIJ4JO7N6HFLX4F4MWY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SEKRBCZZIJ4JO7N6HFLX4F4MWY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SEKRBCZZIJ4JO7N6HFLX4F4MWY","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":"c43589258cd29e38051ae633fc694cca2445c14b7aa5eed022eb93d66e1f484f","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-05T15:48:29Z","title_canon_sha256":"ed0cfcd4ba4bd4979268f21e6c88b2769e6cfc8a1970addc9d39c77f7d4e89c4"},"schema_version":"1.0","source":{"id":"2311.02684","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.02684","created_at":"2026-07-05T09:39:51Z"},{"alias_kind":"arxiv_version","alias_value":"2311.02684v3","created_at":"2026-07-05T09:39:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.02684","created_at":"2026-07-05T09:39:51Z"},{"alias_kind":"pith_short_12","alias_value":"SEKRBCZZIJ4J","created_at":"2026-07-05T09:39:51Z"},{"alias_kind":"pith_short_16","alias_value":"SEKRBCZZIJ4JO7N6","created_at":"2026-07-05T09:39:51Z"},{"alias_kind":"pith_short_8","alias_value":"SEKRBCZZ","created_at":"2026-07-05T09:39:51Z"}],"graph_snapshots":[{"event_id":"sha256:e3282d4ad1f87a3ace0ec1b0e08b607e98237c2c3163ff2f8625d4fe1ec811fb","target":"graph","created_at":"2026-07-05T09:39:51Z","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/2311.02684/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent studies have demonstrated Large Language Models (LLMs) can extend their zero-shot generalization capabilities to multimodal learning through instruction tuning. As more modalities and downstream tasks are introduced, negative conflicts and interference may have a worse impact on performance. While this phenomenon has been overlooked in previous work, we propose a novel and extensible framework, called Octavius, for comprehensive studies and experimentation on multimodal learning with Multimodal Large Language Models (MLLMs). Specifically, we combine the well-known Mixture-of-Experts (Mo","authors_text":"Huayang Liu, Jing Shao, Lu Sheng, Si Liu, Wanli Ouyang, Yu Qiao, Zeren Chen, Zhenfei Yin, Zhen Wang, Ziqin Wang","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-05T15:48:29Z","title":"Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.02684","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":"sha256:51285fb856174b888bc143b3f11832fb29a0160ffd65d1ba5924ac5b28f002be","target":"record","created_at":"2026-07-05T09:39:51Z","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":"c43589258cd29e38051ae633fc694cca2445c14b7aa5eed022eb93d66e1f484f","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-05T15:48:29Z","title_canon_sha256":"ed0cfcd4ba4bd4979268f21e6c88b2769e6cfc8a1970addc9d39c77f7d4e89c4"},"schema_version":"1.0","source":{"id":"2311.02684","kind":"arxiv","version":3}},"canonical_sha256":"9115108b394278977dbe39577e178cb60acb399f23d13043100bda512687b624","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9115108b394278977dbe39577e178cb60acb399f23d13043100bda512687b624","first_computed_at":"2026-07-05T09:39:51.683871Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:39:51.683871Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iiPO6W8YeUTWJha7XInSGNv2HIVYCh6QWb/wKdbYgG/oZx2v5dYNjQ87l/xU8Da5awEr/0Jh/6c0gYCgxQGUDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:39:51.684413Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.02684","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:51285fb856174b888bc143b3f11832fb29a0160ffd65d1ba5924ac5b28f002be","sha256:e3282d4ad1f87a3ace0ec1b0e08b607e98237c2c3163ff2f8625d4fe1ec811fb"],"state_sha256":"5b7f061b336b51f405e96f32e8645b1696c8395b411b711af1cdafaf6fd3647d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UkmtX53lh1jzrwjuXtGRT+lTFvl28RhARTZILjySB2Ksrl/qYbzv8tfw6JB867HmE4DIUKNZm0Eodoa2Y1MWBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T01:11:15.730367Z","bundle_sha256":"af78d12e684a31134f7269f5192f61e3cd3c4af374162f6fb814a2265dbcf976"}}