{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:JMEZYX5IIQTSIB2BUNJWTRGU42","short_pith_number":"pith:JMEZYX5I","canonical_record":{"source":{"id":"2607.13560","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-07-15T08:02:19Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"da5dd2f275b9950a6c34e0aa8bc9874ab4b9e1a4709f91bcc0f41124215e9b21","abstract_canon_sha256":"15c0bd2d5485b3124523df439ea8e26a687e6ef94b2e6151e89567778be287a6"},"schema_version":"1.0"},"canonical_sha256":"4b099c5fa84427240741a35369c4d4e6a65446b4518f02b937b3f0647ce08f1a","source":{"kind":"arxiv","id":"2607.13560","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.13560","created_at":"2026-07-16T01:22:54Z"},{"alias_kind":"arxiv_version","alias_value":"2607.13560v1","created_at":"2026-07-16T01:22:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.13560","created_at":"2026-07-16T01:22:54Z"},{"alias_kind":"pith_short_12","alias_value":"JMEZYX5IIQTS","created_at":"2026-07-16T01:22:54Z"},{"alias_kind":"pith_short_16","alias_value":"JMEZYX5IIQTSIB2B","created_at":"2026-07-16T01:22:54Z"},{"alias_kind":"pith_short_8","alias_value":"JMEZYX5I","created_at":"2026-07-16T01:22:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:JMEZYX5IIQTSIB2BUNJWTRGU42","target":"record","payload":{"canonical_record":{"source":{"id":"2607.13560","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-07-15T08:02:19Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"da5dd2f275b9950a6c34e0aa8bc9874ab4b9e1a4709f91bcc0f41124215e9b21","abstract_canon_sha256":"15c0bd2d5485b3124523df439ea8e26a687e6ef94b2e6151e89567778be287a6"},"schema_version":"1.0"},"canonical_sha256":"4b099c5fa84427240741a35369c4d4e6a65446b4518f02b937b3f0647ce08f1a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-16T01:22:54.213621Z","signature_b64":"7i78jDe/eIh5O6Jntej6pAc20wx8d4cAl8rC9V9h7jjwBBk1J6cysF53I780gexLS1q7YpyspbLzP0/Ci96wBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4b099c5fa84427240741a35369c4d4e6a65446b4518f02b937b3f0647ce08f1a","last_reissued_at":"2026-07-16T01:22:54.212736Z","signature_status":"signed_v1","first_computed_at":"2026-07-16T01:22:54.212736Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.13560","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":"2026-07-16T01:22:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vR79k2E4C92B6XjkcNeLr66OjGhYy8xOcSTQpYPi8xVYfdKjRTbF81mxP4x3C2SI661LaWiaje/BF26USiADAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T16:52:42.244899Z"},"content_sha256":"badd53f48391a9689e319eb090834cf2dcdb13568e25d18262897f184b3944c8","schema_version":"1.0","event_id":"sha256:badd53f48391a9689e319eb090834cf2dcdb13568e25d18262897f184b3944c8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:JMEZYX5IIQTSIB2BUNJWTRGU42","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Grounded world models in biological organisms and future embodied AI","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"q-bio.NC","authors_text":"Davide Nuzzi, Giovanni Pezzulo, Marco D'Alessandro, Paul Cisek, Riccardo Proietti, Roberto Bottini","submitted_at":"2026-07-15T08:02:19Z","abstract_excerpt":"Recent advances in generative and embodied AI have been driven by large-scale predictive learning over multimodal data. However, the resulting systems remain largely based on passive training regimes where linguistic regularities create the scaffold onto which information from other modalities is attached. Conversely, neuroscience and cognitive science suggest that biological intelligence is organized in the opposite way, where grounded world models acquired through interaction with the environment provide the semantic scaffold to which language is attached. Here, we illustrate five examples o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.13560","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/2607.13560/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":"2026-07-16T01:22:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rHuKPgkWjWyTqW5qEl2WUGBAciLv0/pLyw8/C0O9EVDag4D9glpEa8rmopm6Q+anLj8CsabNcPIHUu7zm63NCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T16:52:42.245292Z"},"content_sha256":"3bc21a8e44e4c0b7769c8c70faba15a2daf71ddadd5fdd8cdb72e919f6a4bfa9","schema_version":"1.0","event_id":"sha256:3bc21a8e44e4c0b7769c8c70faba15a2daf71ddadd5fdd8cdb72e919f6a4bfa9"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:JMEZYX5IIQTSIB2BUNJWTRGU42","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1038/s44319-025-00549-8) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Pezzulo, G., Parr, T. & Friston, K. J. Shared worlds, shared minds: Strategies to develop physically and socially embedded AI. EMBO reports 1–6 (2025) doi:10.1038/s44319-025- 00549-8","arxiv_id":"2607.13560","detector":"doi_compliance","evidence":{"ref_index":86,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1038/s44319-025-","reconstructed_doi":"10.1038/s44319-025-00549-8"},"severity":"advisory","ref_index":86,"audited_at":"2026-08-02T05:00:02.872591Z","event_type":"pith.integrity.v1","detected_doi":"10.1038/s44319-025-00549-8","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"ac84621d7f94de4dfc211da0891b382a5db2e8f26021245a1901d291761c763d","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":17224,"payload_sha256":"a29307034bda2a0b5c715f40990800a97c38b877b98114d31e63066421df58ef","signature_b64":"mKz/4KzEY8T1waxQUBXfd78LM1aYirYfUCsgDwG4SHLdbrEOialheeZ+QXr40sVIayVpMCDEKPcJZRG23En7CQ==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-02T05:03:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lVAqOGlw6BV1uBX1ktBYAlVwOEWEDKB3QtOm0ooZ7i1vBSORKzGlRc/VqXFXyIK+fcNZjkCcmtUrJ0lNasxKDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T16:52:42.247292Z"},"content_sha256":"b8def41ff9a595dde29a2518f4849bf71c9379213e6722f48fa67d79b2ed2d03","schema_version":"1.0","event_id":"sha256:b8def41ff9a595dde29a2518f4849bf71c9379213e6722f48fa67d79b2ed2d03"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JMEZYX5IIQTSIB2BUNJWTRGU42/bundle.json","state_url":"https://pith.science/pith/JMEZYX5IIQTSIB2BUNJWTRGU42/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JMEZYX5IIQTSIB2BUNJWTRGU42/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":"2026-08-07T16:52:42Z","links":{"resolver":"https://pith.science/pith/JMEZYX5IIQTSIB2BUNJWTRGU42","bundle":"https://pith.science/pith/JMEZYX5IIQTSIB2BUNJWTRGU42/bundle.json","state":"https://pith.science/pith/JMEZYX5IIQTSIB2BUNJWTRGU42/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JMEZYX5IIQTSIB2BUNJWTRGU42/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JMEZYX5IIQTSIB2BUNJWTRGU42","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"15c0bd2d5485b3124523df439ea8e26a687e6ef94b2e6151e89567778be287a6","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-07-15T08:02:19Z","title_canon_sha256":"da5dd2f275b9950a6c34e0aa8bc9874ab4b9e1a4709f91bcc0f41124215e9b21"},"schema_version":"1.0","source":{"id":"2607.13560","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.13560","created_at":"2026-07-16T01:22:54Z"},{"alias_kind":"arxiv_version","alias_value":"2607.13560v1","created_at":"2026-07-16T01:22:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.13560","created_at":"2026-07-16T01:22:54Z"},{"alias_kind":"pith_short_12","alias_value":"JMEZYX5IIQTS","created_at":"2026-07-16T01:22:54Z"},{"alias_kind":"pith_short_16","alias_value":"JMEZYX5IIQTSIB2B","created_at":"2026-07-16T01:22:54Z"},{"alias_kind":"pith_short_8","alias_value":"JMEZYX5I","created_at":"2026-07-16T01:22:54Z"}],"graph_snapshots":[{"event_id":"sha256:3bc21a8e44e4c0b7769c8c70faba15a2daf71ddadd5fdd8cdb72e919f6a4bfa9","target":"graph","created_at":"2026-07-16T01:22:54Z","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/2607.13560/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in generative and embodied AI have been driven by large-scale predictive learning over multimodal data. However, the resulting systems remain largely based on passive training regimes where linguistic regularities create the scaffold onto which information from other modalities is attached. Conversely, neuroscience and cognitive science suggest that biological intelligence is organized in the opposite way, where grounded world models acquired through interaction with the environment provide the semantic scaffold to which language is attached. Here, we illustrate five examples o","authors_text":"Davide Nuzzi, Giovanni Pezzulo, Marco D'Alessandro, Paul Cisek, Riccardo Proietti, Roberto Bottini","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-07-15T08:02:19Z","title":"Grounded world models in biological organisms and future embodied AI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.13560","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:badd53f48391a9689e319eb090834cf2dcdb13568e25d18262897f184b3944c8","target":"record","created_at":"2026-07-16T01:22:54Z","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":"15c0bd2d5485b3124523df439ea8e26a687e6ef94b2e6151e89567778be287a6","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-07-15T08:02:19Z","title_canon_sha256":"da5dd2f275b9950a6c34e0aa8bc9874ab4b9e1a4709f91bcc0f41124215e9b21"},"schema_version":"1.0","source":{"id":"2607.13560","kind":"arxiv","version":1}},"canonical_sha256":"4b099c5fa84427240741a35369c4d4e6a65446b4518f02b937b3f0647ce08f1a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b099c5fa84427240741a35369c4d4e6a65446b4518f02b937b3f0647ce08f1a","first_computed_at":"2026-07-16T01:22:54.212736Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-16T01:22:54.212736Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7i78jDe/eIh5O6Jntej6pAc20wx8d4cAl8rC9V9h7jjwBBk1J6cysF53I780gexLS1q7YpyspbLzP0/Ci96wBA==","signature_status":"signed_v1","signed_at":"2026-07-16T01:22:54.213621Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.13560","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:badd53f48391a9689e319eb090834cf2dcdb13568e25d18262897f184b3944c8","sha256:3bc21a8e44e4c0b7769c8c70faba15a2daf71ddadd5fdd8cdb72e919f6a4bfa9","sha256:b8def41ff9a595dde29a2518f4849bf71c9379213e6722f48fa67d79b2ed2d03"],"state_sha256":"bbdb1aefc69fbf20a8bdac34aae850ceb9947cce2638d4451be28ae5117e60fe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"17RLcvU13ux6ytVFwfQ4fgdBa3+p411GBzyVsSQERvUP+o8LuOqJxjWwjeNGBWgXB0VIWQTh8Alh8CDZWSPaAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T16:52:42.248855Z","bundle_sha256":"662bf552c27232e61bcd355c5061c2cb4849300308f92f4cad8951060f60784a"}}