{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:432N4L2I3676ZX53JOWADTYUYO","short_pith_number":"pith:432N4L2I","schema_version":"1.0","canonical_sha256":"e6f4de2f48dfbfecdfbb4bac01cf14c38bced931f88ffaebfb6827dc4d47fd35","source":{"kind":"arxiv","id":"2307.09437","version":2},"attestation_state":"computed","paper":{"title":"Grounded Object Centric Learning","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.LG","authors_text":"Avinash Kori, Ben Glocker, Fabio De Sousa Ribeiro, Francesca Toni, Francesco Locatello","submitted_at":"2023-07-18T17:11:55Z","abstract_excerpt":"The extraction of modular object-centric representations for downstream tasks is an emerging area of research. Learning grounded representations of objects that are guaranteed to be stable and invariant promises robust performance across different tasks and environments. Slot Attention (SA) learns object-centric representations by assigning objects to \\textit{slots}, but presupposes a \\textit{single} distribution from which all slots are randomly initialised. This results in an inability to learn \\textit{specialized} slots which bind to specific object types and remain invariant to identity-pr"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2307.09437","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-18T17:11:55Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"c948a23b56bef36bc85d7bc5143ff56883b9ef0061796537f2cf154aff6af749","abstract_canon_sha256":"0a313c917b0ab133873ef9d38b89f6f0f6c65b096bfa251873718d95b2cc5ebb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:37:29.516816Z","signature_b64":"zoBnz8AALxIClzgIhXf6NSDjLRg1qFFSQsiL2r9t3CPGPPgiGiyJNChAz2pJAak3H97RE0zK6xJFkb5RXqPgAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e6f4de2f48dfbfecdfbb4bac01cf14c38bced931f88ffaebfb6827dc4d47fd35","last_reissued_at":"2026-07-05T07:37:29.516338Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:37:29.516338Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Grounded Object Centric Learning","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.LG","authors_text":"Avinash Kori, Ben Glocker, Fabio De Sousa Ribeiro, Francesca Toni, Francesco Locatello","submitted_at":"2023-07-18T17:11:55Z","abstract_excerpt":"The extraction of modular object-centric representations for downstream tasks is an emerging area of research. Learning grounded representations of objects that are guaranteed to be stable and invariant promises robust performance across different tasks and environments. Slot Attention (SA) learns object-centric representations by assigning objects to \\textit{slots}, but presupposes a \\textit{single} distribution from which all slots are randomly initialised. This results in an inability to learn \\textit{specialized} slots which bind to specific object types and remain invariant to identity-pr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.09437","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/2307.09437/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2307.09437","created_at":"2026-07-05T07:37:29.516394+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.09437v2","created_at":"2026-07-05T07:37:29.516394+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.09437","created_at":"2026-07-05T07:37:29.516394+00:00"},{"alias_kind":"pith_short_12","alias_value":"432N4L2I3676","created_at":"2026-07-05T07:37:29.516394+00:00"},{"alias_kind":"pith_short_16","alias_value":"432N4L2I3676ZX53","created_at":"2026-07-05T07:37:29.516394+00:00"},{"alias_kind":"pith_short_8","alias_value":"432N4L2I","created_at":"2026-07-05T07:37:29.516394+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/432N4L2I3676ZX53JOWADTYUYO","json":"https://pith.science/pith/432N4L2I3676ZX53JOWADTYUYO.json","graph_json":"https://pith.science/api/pith-number/432N4L2I3676ZX53JOWADTYUYO/graph.json","events_json":"https://pith.science/api/pith-number/432N4L2I3676ZX53JOWADTYUYO/events.json","paper":"https://pith.science/paper/432N4L2I"},"agent_actions":{"view_html":"https://pith.science/pith/432N4L2I3676ZX53JOWADTYUYO","download_json":"https://pith.science/pith/432N4L2I3676ZX53JOWADTYUYO.json","view_paper":"https://pith.science/paper/432N4L2I","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.09437&json=true","fetch_graph":"https://pith.science/api/pith-number/432N4L2I3676ZX53JOWADTYUYO/graph.json","fetch_events":"https://pith.science/api/pith-number/432N4L2I3676ZX53JOWADTYUYO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/432N4L2I3676ZX53JOWADTYUYO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/432N4L2I3676ZX53JOWADTYUYO/action/storage_attestation","attest_author":"https://pith.science/pith/432N4L2I3676ZX53JOWADTYUYO/action/author_attestation","sign_citation":"https://pith.science/pith/432N4L2I3676ZX53JOWADTYUYO/action/citation_signature","submit_replication":"https://pith.science/pith/432N4L2I3676ZX53JOWADTYUYO/action/replication_record"}},"created_at":"2026-07-05T07:37:29.516394+00:00","updated_at":"2026-07-05T07:37:29.516394+00:00"}