{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:FYCNLSZMSAICLM7PBMQQMJDJRE","short_pith_number":"pith:FYCNLSZM","canonical_record":{"source":{"id":"2404.15721","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-24T08:15:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9a0d151baefa324cb3ae2b4fb5d19ac3a11d14f2eee6a67fc6a3b288bd533422","abstract_canon_sha256":"c53c18f34353d8c05cfff5c084f17ff4f00faeb0be49be062d6a5e8926b97ebc"},"schema_version":"1.0"},"canonical_sha256":"2e04d5cb2c901025b3ef0b210624698918b3b271241f919f469470a95d7ee427","source":{"kind":"arxiv","id":"2404.15721","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.15721","created_at":"2026-07-05T09:06:59Z"},{"alias_kind":"arxiv_version","alias_value":"2404.15721v2","created_at":"2026-07-05T09:06:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.15721","created_at":"2026-07-05T09:06:59Z"},{"alias_kind":"pith_short_12","alias_value":"FYCNLSZMSAIC","created_at":"2026-07-05T09:06:59Z"},{"alias_kind":"pith_short_16","alias_value":"FYCNLSZMSAICLM7P","created_at":"2026-07-05T09:06:59Z"},{"alias_kind":"pith_short_8","alias_value":"FYCNLSZM","created_at":"2026-07-05T09:06:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:FYCNLSZMSAICLM7PBMQQMJDJRE","target":"record","payload":{"canonical_record":{"source":{"id":"2404.15721","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-24T08:15:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9a0d151baefa324cb3ae2b4fb5d19ac3a11d14f2eee6a67fc6a3b288bd533422","abstract_canon_sha256":"c53c18f34353d8c05cfff5c084f17ff4f00faeb0be49be062d6a5e8926b97ebc"},"schema_version":"1.0"},"canonical_sha256":"2e04d5cb2c901025b3ef0b210624698918b3b271241f919f469470a95d7ee427","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:06:59.161284Z","signature_b64":"pgSoEcRWH1JjS6UOWpIZ6yTzxt67Q71phY9JOZRtzGUY+R4KbUF7vahAPLoq6T8sBVdGovSvVKYZ/vYDz/M3Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2e04d5cb2c901025b3ef0b210624698918b3b271241f919f469470a95d7ee427","last_reissued_at":"2026-07-05T09:06:59.160800Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:06:59.160800Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.15721","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":"2026-07-05T09:06:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i4a3JbRCgWgIHidUpE68cJ8zh8oxGu/rrFnY+Ou/oMCUD3UKnw+t5ITpQbanvxc2erO0s87A9wA7R5YsMu/2DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T02:43:47.524386Z"},"content_sha256":"3aa65b200526c8a3fbac2c97709439ee7802dd51ed0b054c638f7e5a437565b2","schema_version":"1.0","event_id":"sha256:3aa65b200526c8a3fbac2c97709439ee7802dd51ed0b054c638f7e5a437565b2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:FYCNLSZMSAICLM7PBMQQMJDJRE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Aaron Courville, Ankit Vani, Bac Nguyen, Ranjay Krishna, Samuel Lavoie","submitted_at":"2024-04-24T08:15:36Z","abstract_excerpt":"Selective attention helps us focus on task-relevant aspects in the constant flood of our sensory input. This constraint in our perception allows us to robustly generalize under distractions and to new compositions of perceivable concepts. Transformers employ a similar notion of attention in their architecture, but representation learning models with transformer backbones like CLIP and DINO often fail to demonstrate robustness and compositionality. We highlight a missing architectural prior: unlike human perception, transformer encodings do not separately attend over individual concepts. In res"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.15721","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/2404.15721/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":"2026-07-05T09:06:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kk8qGb8xZUqKcDABpZJ0WC6UoP5aAwU6dXvNSdeXzDwlYnlawuVCJTeHC+4yVX8gfxSZ93MPuZU8iyAEHMSyDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T02:43:47.524759Z"},"content_sha256":"a129f035b7297e09e0ebb88df072e3bea5f3449585ed5e4deeb0901529e9d6bb","schema_version":"1.0","event_id":"sha256:a129f035b7297e09e0ebb88df072e3bea5f3449585ed5e4deeb0901529e9d6bb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FYCNLSZMSAICLM7PBMQQMJDJRE/bundle.json","state_url":"https://pith.science/pith/FYCNLSZMSAICLM7PBMQQMJDJRE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FYCNLSZMSAICLM7PBMQQMJDJRE/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":"2026-07-07T02:43:47Z","links":{"resolver":"https://pith.science/pith/FYCNLSZMSAICLM7PBMQQMJDJRE","bundle":"https://pith.science/pith/FYCNLSZMSAICLM7PBMQQMJDJRE/bundle.json","state":"https://pith.science/pith/FYCNLSZMSAICLM7PBMQQMJDJRE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FYCNLSZMSAICLM7PBMQQMJDJRE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FYCNLSZMSAICLM7PBMQQMJDJRE","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":"c53c18f34353d8c05cfff5c084f17ff4f00faeb0be49be062d6a5e8926b97ebc","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-24T08:15:36Z","title_canon_sha256":"9a0d151baefa324cb3ae2b4fb5d19ac3a11d14f2eee6a67fc6a3b288bd533422"},"schema_version":"1.0","source":{"id":"2404.15721","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.15721","created_at":"2026-07-05T09:06:59Z"},{"alias_kind":"arxiv_version","alias_value":"2404.15721v2","created_at":"2026-07-05T09:06:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.15721","created_at":"2026-07-05T09:06:59Z"},{"alias_kind":"pith_short_12","alias_value":"FYCNLSZMSAIC","created_at":"2026-07-05T09:06:59Z"},{"alias_kind":"pith_short_16","alias_value":"FYCNLSZMSAICLM7P","created_at":"2026-07-05T09:06:59Z"},{"alias_kind":"pith_short_8","alias_value":"FYCNLSZM","created_at":"2026-07-05T09:06:59Z"}],"graph_snapshots":[{"event_id":"sha256:a129f035b7297e09e0ebb88df072e3bea5f3449585ed5e4deeb0901529e9d6bb","target":"graph","created_at":"2026-07-05T09:06:59Z","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/2404.15721/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Selective attention helps us focus on task-relevant aspects in the constant flood of our sensory input. This constraint in our perception allows us to robustly generalize under distractions and to new compositions of perceivable concepts. Transformers employ a similar notion of attention in their architecture, but representation learning models with transformer backbones like CLIP and DINO often fail to demonstrate robustness and compositionality. We highlight a missing architectural prior: unlike human perception, transformer encodings do not separately attend over individual concepts. In res","authors_text":"Aaron Courville, Ankit Vani, Bac Nguyen, Ranjay Krishna, Samuel Lavoie","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-24T08:15:36Z","title":"SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.15721","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":"sha256:3aa65b200526c8a3fbac2c97709439ee7802dd51ed0b054c638f7e5a437565b2","target":"record","created_at":"2026-07-05T09:06:59Z","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":"c53c18f34353d8c05cfff5c084f17ff4f00faeb0be49be062d6a5e8926b97ebc","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-24T08:15:36Z","title_canon_sha256":"9a0d151baefa324cb3ae2b4fb5d19ac3a11d14f2eee6a67fc6a3b288bd533422"},"schema_version":"1.0","source":{"id":"2404.15721","kind":"arxiv","version":2}},"canonical_sha256":"2e04d5cb2c901025b3ef0b210624698918b3b271241f919f469470a95d7ee427","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2e04d5cb2c901025b3ef0b210624698918b3b271241f919f469470a95d7ee427","first_computed_at":"2026-07-05T09:06:59.160800Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:06:59.160800Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pgSoEcRWH1JjS6UOWpIZ6yTzxt67Q71phY9JOZRtzGUY+R4KbUF7vahAPLoq6T8sBVdGovSvVKYZ/vYDz/M3Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T09:06:59.161284Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.15721","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3aa65b200526c8a3fbac2c97709439ee7802dd51ed0b054c638f7e5a437565b2","sha256:a129f035b7297e09e0ebb88df072e3bea5f3449585ed5e4deeb0901529e9d6bb"],"state_sha256":"bdc517dc997ba96b34fa3d19222e39d3dc6cbaac34e0020807e581d997cc3d7e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g7KRUKtIa/0ji0P15tJEbL4G+H/WzhxIaEuOQ+VZhMuoBT/wOgLUK8x/SAnD3DfL6iDSw3+3lMNWU7K+d5JlDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T02:43:47.526698Z","bundle_sha256":"341282b55a9564d46c4411e42ea368b95877248528296af04cde269753289220"}}