{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:EFC6MTRXFKIDL7THV4YGEEAC5F","short_pith_number":"pith:EFC6MTRX","canonical_record":{"source":{"id":"2606.02168","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-01T12:28:37Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"35c3158ba4dd6cbb47672dc0b422975c8b72fc3c73d653faf43e88bb92774147","abstract_canon_sha256":"289a3a529ed9cd8254808badf214dea8e468fbe0aa2eaade952b5c0f0f7cef4e"},"schema_version":"1.0"},"canonical_sha256":"2145e64e372a9035fe67af30621002e96c99c50364e0802cb9ba754b3b1ed446","source":{"kind":"arxiv","id":"2606.02168","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.02168","created_at":"2026-06-02T03:04:52Z"},{"alias_kind":"arxiv_version","alias_value":"2606.02168v1","created_at":"2026-06-02T03:04:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.02168","created_at":"2026-06-02T03:04:52Z"},{"alias_kind":"pith_short_12","alias_value":"EFC6MTRXFKID","created_at":"2026-06-02T03:04:52Z"},{"alias_kind":"pith_short_16","alias_value":"EFC6MTRXFKIDL7TH","created_at":"2026-06-02T03:04:52Z"},{"alias_kind":"pith_short_8","alias_value":"EFC6MTRX","created_at":"2026-06-02T03:04:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:EFC6MTRXFKIDL7THV4YGEEAC5F","target":"record","payload":{"canonical_record":{"source":{"id":"2606.02168","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-01T12:28:37Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"35c3158ba4dd6cbb47672dc0b422975c8b72fc3c73d653faf43e88bb92774147","abstract_canon_sha256":"289a3a529ed9cd8254808badf214dea8e468fbe0aa2eaade952b5c0f0f7cef4e"},"schema_version":"1.0"},"canonical_sha256":"2145e64e372a9035fe67af30621002e96c99c50364e0802cb9ba754b3b1ed446","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T03:04:52.146905Z","signature_b64":"JVF2sqqbKciBP4rMwMFjuvXn/13YRv8OhmaZYdXrbImGr1vuUIcYbk+KmnoVhGNbbWx8A+/eu1PNCfD9QfsZDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2145e64e372a9035fe67af30621002e96c99c50364e0802cb9ba754b3b1ed446","last_reissued_at":"2026-06-02T03:04:52.146408Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T03:04:52.146408Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.02168","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":"2026-06-02T03:04:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7YbAXauOgksga6Fi4lSK0aewdK5GivDgl4rrJRj+ozr8kVk9dMR++qzFcuNZ+7ceelPlQNWv5M+LNFPbCudCBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T04:20:51.383900Z"},"content_sha256":"0141208eb03e8c2922c017f261d27a4a9162aa8be6dc71f2187240223fc13d7c","schema_version":"1.0","event_id":"sha256:0141208eb03e8c2922c017f261d27a4a9162aa8be6dc71f2187240223fc13d7c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:EFC6MTRXFKIDL7THV4YGEEAC5F","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Disentanglement-Based Equivariant Learning for Compositional VQA","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Changsheng Xu, Xiao Wu, Zhaoquan Yuan, Zhou Du","submitted_at":"2026-06-01T12:28:37Z","abstract_excerpt":"Compositional visual question answering (VQA) represents a challenging yet fundamental task that requires models to comprehend novel combinations of previously learned concepts. The current methods often overlook the disentanglement of underlying concepts and are restricted in terms of their ability to effectively capture the compositional variation mechanism. Moreover, the state-of-the-art techniques depend on additional clues for training, which is not feasible in real-world VQA scenarios. To address these issues, in this paper, we introduce a novel Disentanglement-based EquivAriant Learning"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.02168","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/2606.02168/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":"2026-06-02T03:04:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"naCJZQ28HxUBH46pTDg87DjcPVlA1v6Z+6hPQKTqgDD2LCvQK4FE6e2IXDQRiLniGH689ZgE6QNeza/ed39sDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T04:20:51.384301Z"},"content_sha256":"230ff7a7f12a8cbab6b1e88e778d5d4fd16e19c3fc154ad80cfa54d75c5ffe9b","schema_version":"1.0","event_id":"sha256:230ff7a7f12a8cbab6b1e88e778d5d4fd16e19c3fc154ad80cfa54d75c5ffe9b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EFC6MTRXFKIDL7THV4YGEEAC5F/bundle.json","state_url":"https://pith.science/pith/EFC6MTRXFKIDL7THV4YGEEAC5F/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EFC6MTRXFKIDL7THV4YGEEAC5F/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":"2026-06-12T04:20:51Z","links":{"resolver":"https://pith.science/pith/EFC6MTRXFKIDL7THV4YGEEAC5F","bundle":"https://pith.science/pith/EFC6MTRXFKIDL7THV4YGEEAC5F/bundle.json","state":"https://pith.science/pith/EFC6MTRXFKIDL7THV4YGEEAC5F/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EFC6MTRXFKIDL7THV4YGEEAC5F/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:EFC6MTRXFKIDL7THV4YGEEAC5F","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":"289a3a529ed9cd8254808badf214dea8e468fbe0aa2eaade952b5c0f0f7cef4e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-01T12:28:37Z","title_canon_sha256":"35c3158ba4dd6cbb47672dc0b422975c8b72fc3c73d653faf43e88bb92774147"},"schema_version":"1.0","source":{"id":"2606.02168","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.02168","created_at":"2026-06-02T03:04:52Z"},{"alias_kind":"arxiv_version","alias_value":"2606.02168v1","created_at":"2026-06-02T03:04:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.02168","created_at":"2026-06-02T03:04:52Z"},{"alias_kind":"pith_short_12","alias_value":"EFC6MTRXFKID","created_at":"2026-06-02T03:04:52Z"},{"alias_kind":"pith_short_16","alias_value":"EFC6MTRXFKIDL7TH","created_at":"2026-06-02T03:04:52Z"},{"alias_kind":"pith_short_8","alias_value":"EFC6MTRX","created_at":"2026-06-02T03:04:52Z"}],"graph_snapshots":[{"event_id":"sha256:230ff7a7f12a8cbab6b1e88e778d5d4fd16e19c3fc154ad80cfa54d75c5ffe9b","target":"graph","created_at":"2026-06-02T03:04:52Z","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/2606.02168/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Compositional visual question answering (VQA) represents a challenging yet fundamental task that requires models to comprehend novel combinations of previously learned concepts. The current methods often overlook the disentanglement of underlying concepts and are restricted in terms of their ability to effectively capture the compositional variation mechanism. Moreover, the state-of-the-art techniques depend on additional clues for training, which is not feasible in real-world VQA scenarios. To address these issues, in this paper, we introduce a novel Disentanglement-based EquivAriant Learning","authors_text":"Changsheng Xu, Xiao Wu, Zhaoquan Yuan, Zhou Du","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-01T12:28:37Z","title":"Disentanglement-Based Equivariant Learning for Compositional VQA"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.02168","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":"sha256:0141208eb03e8c2922c017f261d27a4a9162aa8be6dc71f2187240223fc13d7c","target":"record","created_at":"2026-06-02T03:04:52Z","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":"289a3a529ed9cd8254808badf214dea8e468fbe0aa2eaade952b5c0f0f7cef4e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-01T12:28:37Z","title_canon_sha256":"35c3158ba4dd6cbb47672dc0b422975c8b72fc3c73d653faf43e88bb92774147"},"schema_version":"1.0","source":{"id":"2606.02168","kind":"arxiv","version":1}},"canonical_sha256":"2145e64e372a9035fe67af30621002e96c99c50364e0802cb9ba754b3b1ed446","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2145e64e372a9035fe67af30621002e96c99c50364e0802cb9ba754b3b1ed446","first_computed_at":"2026-06-02T03:04:52.146408Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T03:04:52.146408Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JVF2sqqbKciBP4rMwMFjuvXn/13YRv8OhmaZYdXrbImGr1vuUIcYbk+KmnoVhGNbbWx8A+/eu1PNCfD9QfsZDw==","signature_status":"signed_v1","signed_at":"2026-06-02T03:04:52.146905Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.02168","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0141208eb03e8c2922c017f261d27a4a9162aa8be6dc71f2187240223fc13d7c","sha256:230ff7a7f12a8cbab6b1e88e778d5d4fd16e19c3fc154ad80cfa54d75c5ffe9b"],"state_sha256":"06dddd5a121720dfd4b8bd8c220b87ab74fa3d892f61baac6c16a868ecc82943"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kHQ1Hyxh4iOGqu/hIWPDmy27uiI70+BpEAWAVohI8Mqinna/bnH+8cIn90FL1vpBa0vro434XEOzIHA6J1wyBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-12T04:20:51.387464Z","bundle_sha256":"12cdce775e9ccfa5f7355828ada2e508cd6f6e11d9e2cd70030b9cb078feb8ed"}}