{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:JFNEWJQUQDR4WMO24ARH22JTDB","short_pith_number":"pith:JFNEWJQU","canonical_record":{"source":{"id":"2006.15055","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-26T15:31:57Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"30a893ac2e2d41d8650393d9b498c9ec430b78ff143b9c54b0319c616063871a","abstract_canon_sha256":"55e43f8ef99bb06b21de01f4d52c65fda4cd0e26bfbe8a95ca94464973a6aeaf"},"schema_version":"1.0"},"canonical_sha256":"495a4b261480e3cb31dae0227d6933184e7cdb15145c9feabaf450504bac5ccc","source":{"kind":"arxiv","id":"2006.15055","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.15055","created_at":"2026-07-05T01:42:55Z"},{"alias_kind":"arxiv_version","alias_value":"2006.15055v2","created_at":"2026-07-05T01:42:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.15055","created_at":"2026-07-05T01:42:55Z"},{"alias_kind":"pith_short_12","alias_value":"JFNEWJQUQDR4","created_at":"2026-07-05T01:42:55Z"},{"alias_kind":"pith_short_16","alias_value":"JFNEWJQUQDR4WMO2","created_at":"2026-07-05T01:42:55Z"},{"alias_kind":"pith_short_8","alias_value":"JFNEWJQU","created_at":"2026-07-05T01:42:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:JFNEWJQUQDR4WMO24ARH22JTDB","target":"record","payload":{"canonical_record":{"source":{"id":"2006.15055","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-26T15:31:57Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"30a893ac2e2d41d8650393d9b498c9ec430b78ff143b9c54b0319c616063871a","abstract_canon_sha256":"55e43f8ef99bb06b21de01f4d52c65fda4cd0e26bfbe8a95ca94464973a6aeaf"},"schema_version":"1.0"},"canonical_sha256":"495a4b261480e3cb31dae0227d6933184e7cdb15145c9feabaf450504bac5ccc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:42:55.135611Z","signature_b64":"5G7y6qeO1T8UGDiwbWsVWyjU5JVxT+vje8BQ2hXaeQhEMxpOUTILPKXM2zPKOJgYlqVbwV76K7VUK4Q7+fTKAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"495a4b261480e3cb31dae0227d6933184e7cdb15145c9feabaf450504bac5ccc","last_reissued_at":"2026-07-05T01:42:55.135158Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:42:55.135158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.15055","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":"2026-07-05T01:42:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cXHIZ/nBf6YdKbJHi41wE5SRguWZZkEeCEwu8ZXnGTFn4UEHJxH4xREBXRYq293HVUJYZOo+MoCip/1zudC3AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T14:09:35.361240Z"},"content_sha256":"a6762f29aee27d9128f2e82fc6993ed9498d793ecb4a6ab8074f2fe12dc151ad","schema_version":"1.0","event_id":"sha256:a6762f29aee27d9128f2e82fc6993ed9498d793ecb4a6ab8074f2fe12dc151ad"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:JFNEWJQUQDR4WMO24ARH22JTDB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Object-Centric Learning with Slot Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","stat.ML"],"primary_cat":"cs.LG","authors_text":"Alexey Dosovitskiy, Aravindh Mahendran, Dirk Weissenborn, Francesco Locatello, Georg Heigold, Jakob Uszkoreit, Thomas Kipf, Thomas Unterthiner","submitted_at":"2020-06-26T15:31:57Z","abstract_excerpt":"Learning object-centric representations of complex scenes is a promising step towards enabling efficient abstract reasoning from low-level perceptual features. Yet, most deep learning approaches learn distributed representations that do not capture the compositional properties of natural scenes. In this paper, we present the Slot Attention module, an architectural component that interfaces with perceptual representations such as the output of a convolutional neural network and produces a set of task-dependent abstract representations which we call slots. These slots are exchangeable and can bi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.15055","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/2006.15055/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":"2026-07-05T01:42:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BqS9zXZ+G7IOPyjGF6Mj+wWVKLVMiT7xRWhnM6RXqfPyknP/v+8xcKHk/pEgwf//TV5EiO5kt/s0uxjVDcaVAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T14:09:35.361863Z"},"content_sha256":"de88efaca73561568b98466b0355f274e88a00e5325e9863ea725efd454a3096","schema_version":"1.0","event_id":"sha256:de88efaca73561568b98466b0355f274e88a00e5325e9863ea725efd454a3096"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JFNEWJQUQDR4WMO24ARH22JTDB/bundle.json","state_url":"https://pith.science/pith/JFNEWJQUQDR4WMO24ARH22JTDB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JFNEWJQUQDR4WMO24ARH22JTDB/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":"2026-07-31T14:09:35Z","links":{"resolver":"https://pith.science/pith/JFNEWJQUQDR4WMO24ARH22JTDB","bundle":"https://pith.science/pith/JFNEWJQUQDR4WMO24ARH22JTDB/bundle.json","state":"https://pith.science/pith/JFNEWJQUQDR4WMO24ARH22JTDB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JFNEWJQUQDR4WMO24ARH22JTDB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:JFNEWJQUQDR4WMO24ARH22JTDB","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":"55e43f8ef99bb06b21de01f4d52c65fda4cd0e26bfbe8a95ca94464973a6aeaf","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-26T15:31:57Z","title_canon_sha256":"30a893ac2e2d41d8650393d9b498c9ec430b78ff143b9c54b0319c616063871a"},"schema_version":"1.0","source":{"id":"2006.15055","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.15055","created_at":"2026-07-05T01:42:55Z"},{"alias_kind":"arxiv_version","alias_value":"2006.15055v2","created_at":"2026-07-05T01:42:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.15055","created_at":"2026-07-05T01:42:55Z"},{"alias_kind":"pith_short_12","alias_value":"JFNEWJQUQDR4","created_at":"2026-07-05T01:42:55Z"},{"alias_kind":"pith_short_16","alias_value":"JFNEWJQUQDR4WMO2","created_at":"2026-07-05T01:42:55Z"},{"alias_kind":"pith_short_8","alias_value":"JFNEWJQU","created_at":"2026-07-05T01:42:55Z"}],"graph_snapshots":[{"event_id":"sha256:de88efaca73561568b98466b0355f274e88a00e5325e9863ea725efd454a3096","target":"graph","created_at":"2026-07-05T01:42:55Z","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/2006.15055/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning object-centric representations of complex scenes is a promising step towards enabling efficient abstract reasoning from low-level perceptual features. Yet, most deep learning approaches learn distributed representations that do not capture the compositional properties of natural scenes. In this paper, we present the Slot Attention module, an architectural component that interfaces with perceptual representations such as the output of a convolutional neural network and produces a set of task-dependent abstract representations which we call slots. These slots are exchangeable and can bi","authors_text":"Alexey Dosovitskiy, Aravindh Mahendran, Dirk Weissenborn, Francesco Locatello, Georg Heigold, Jakob Uszkoreit, Thomas Kipf, Thomas Unterthiner","cross_cats":["cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-26T15:31:57Z","title":"Object-Centric Learning with Slot Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.15055","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:a6762f29aee27d9128f2e82fc6993ed9498d793ecb4a6ab8074f2fe12dc151ad","target":"record","created_at":"2026-07-05T01:42:55Z","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":"55e43f8ef99bb06b21de01f4d52c65fda4cd0e26bfbe8a95ca94464973a6aeaf","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-26T15:31:57Z","title_canon_sha256":"30a893ac2e2d41d8650393d9b498c9ec430b78ff143b9c54b0319c616063871a"},"schema_version":"1.0","source":{"id":"2006.15055","kind":"arxiv","version":2}},"canonical_sha256":"495a4b261480e3cb31dae0227d6933184e7cdb15145c9feabaf450504bac5ccc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"495a4b261480e3cb31dae0227d6933184e7cdb15145c9feabaf450504bac5ccc","first_computed_at":"2026-07-05T01:42:55.135158Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:42:55.135158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5G7y6qeO1T8UGDiwbWsVWyjU5JVxT+vje8BQ2hXaeQhEMxpOUTILPKXM2zPKOJgYlqVbwV76K7VUK4Q7+fTKAw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:42:55.135611Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.15055","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a6762f29aee27d9128f2e82fc6993ed9498d793ecb4a6ab8074f2fe12dc151ad","sha256:de88efaca73561568b98466b0355f274e88a00e5325e9863ea725efd454a3096"],"state_sha256":"7de5cc0717d00dec6ab1061f74272743532a6212462b06760f5a00ece981bcac"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aG4poPanLr0lchq2AcIbYLzC4m3vLzZShuv1m97Vym5w5HcVlswrmPPZOwxl/ffvQ5CIfY42uXCq3DROy8erDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T14:09:35.368595Z","bundle_sha256":"d5a36acbf1431c09ef511c7b253a5de6fee111c369357a1573a7aaaa76955e04"}}