{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:SBWTAKCPMMSK7K2XAZ2VLBG3SN","short_pith_number":"pith:SBWTAKCP","canonical_record":{"source":{"id":"2605.15733","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2026-05-15T08:36:40Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"568cd8de5ac23a44a942bb8cff5aa95bdb6a2e8b0662c3020925f186b4d26743","abstract_canon_sha256":"caccc1a80ae5876cb04a5f369e7f0d5b4ec1527ed5e2b02d4a78d84736ee5d0f"},"schema_version":"1.0"},"canonical_sha256":"906d30284f6324afab5706755584db9341380202f9069477782d952159523597","source":{"kind":"arxiv","id":"2605.15733","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15733","created_at":"2026-05-20T00:01:15Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15733v1","created_at":"2026-05-20T00:01:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15733","created_at":"2026-05-20T00:01:15Z"},{"alias_kind":"pith_short_12","alias_value":"SBWTAKCPMMSK","created_at":"2026-05-20T00:01:15Z"},{"alias_kind":"pith_short_16","alias_value":"SBWTAKCPMMSK7K2X","created_at":"2026-05-20T00:01:15Z"},{"alias_kind":"pith_short_8","alias_value":"SBWTAKCP","created_at":"2026-05-20T00:01:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:SBWTAKCPMMSK7K2XAZ2VLBG3SN","target":"record","payload":{"canonical_record":{"source":{"id":"2605.15733","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2026-05-15T08:36:40Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"568cd8de5ac23a44a942bb8cff5aa95bdb6a2e8b0662c3020925f186b4d26743","abstract_canon_sha256":"caccc1a80ae5876cb04a5f369e7f0d5b4ec1527ed5e2b02d4a78d84736ee5d0f"},"schema_version":"1.0"},"canonical_sha256":"906d30284f6324afab5706755584db9341380202f9069477782d952159523597","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:01:15.387697Z","signature_b64":"MeP5ZDojimqb6BNSollF/MG/+v4S3HnPoAcmTAvPwXgfriDJMtlLoavsCSA97sDbj6wDEpNQUm87HZQwKNA/Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"906d30284f6324afab5706755584db9341380202f9069477782d952159523597","last_reissued_at":"2026-05-20T00:01:15.386859Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:01:15.386859Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.15733","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":"2026-05-20T00:01:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/e8BuUFHmmdSvfe8fyXy/wJxnDmEznI5h4krm5saWZN0amHo3Pj3ST2Zn+OKpBBl2pI/R5CNac0TUjLreD2SBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T04:44:40.250782Z"},"content_sha256":"6ec3c6ed86dc15ed670aabffdb5481a51210ed2be842816ea51792029b999a9d","schema_version":"1.0","event_id":"sha256:6ec3c6ed86dc15ed670aabffdb5481a51210ed2be842816ea51792029b999a9d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:SBWTAKCPMMSK7K2XAZ2VLBG3SN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Structure Abstraction and Generalization in a Hippocampal-Entorhinal Inspired World Model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"A hippocampal-entorhinal inspired model abstracts structures from dynamic scenes to enable generalization through path integration.","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.NE","authors_text":"Muyang Lyu, Si Wu, Tianqiu Zhang, Xiao Liu","submitted_at":"2026-05-15T08:36:40Z","abstract_excerpt":"Humans abstract experiences into structured representations to facilitate pattern inference and knowledge transfer. While the hippocampal-entorhinal (HPC-MEC) circuit is known to represent both spatial and conceptual spaces, the mechanisms for concurrently extracting abstract structures from continuous, high-dimensional dynamics remain poorly understood. We propose a brain-inspired hierarchical model that simultaneously infers latent transitions and constructs a predictive visual world model. Our architecture employs an inverse model for structural extraction alongside an HPC-MEC coupling mode"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"By leveraging velocity-driven path integration, the framework enables robust prediction and structural reuse across diverse contexts, thereby achieving structural generalization.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The assumption that the proposed inverse model plus HPC-MEC coupling accurately extracts and dissociates relational structures from episodic scenes in a manner that mirrors biological mechanisms and that primitive transformation dynamics constitute a sufficient benchmark for demonstrating this capacity.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"A brain-inspired hierarchical model with inverse structural extraction and HPC-MEC dissociation achieves structural abstraction and generalization in visual world models via velocity-driven path integration.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"A hippocampal-entorhinal inspired model abstracts structures from dynamic scenes to enable generalization through path integration.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"814bb1c6a39099166e52628c401c6d44d6321023e624d78ffe743add98ff809f"},"source":{"id":"2605.15733","kind":"arxiv","version":1},"verdict":{"id":"2da8e833-38d8-45fe-a339-f3098b971151","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-19T19:32:39.407279Z","strongest_claim":"By leveraging velocity-driven path integration, the framework enables robust prediction and structural reuse across diverse contexts, thereby achieving structural generalization.","one_line_summary":"A brain-inspired hierarchical model with inverse structural extraction and HPC-MEC dissociation achieves structural abstraction and generalization in visual world models via velocity-driven path integration.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The assumption that the proposed inverse model plus HPC-MEC coupling accurately extracts and dissociates relational structures from episodic scenes in a manner that mirrors biological mechanisms and that primitive transformation dynamics constitute a sufficient benchmark for demonstrating this capacity.","pith_extraction_headline":"A hippocampal-entorhinal inspired model abstracts structures from dynamic scenes to enable generalization through path integration."},"integrity":{"clean":false,"summary":{"advisory":2,"critical":0,"by_detector":{"doi_compliance":{"total":2,"advisory":2,"critical":0,"informational":0}},"informational":0},"endpoint":"/pith/2605.15733/integrity.json","findings":[{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1523/JNEUROSCI.4353-05.2006.URL) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detector":"doi_compliance","severity":"advisory","ref_index":4,"audited_at":"2026-05-19T19:41:02.250764Z","detected_doi":"10.1523/JNEUROSCI.4353-05.2006.URL","finding_type":"recoverable_identifier","verdict_class":"incontrovertible","detected_arxiv_id":null},{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1002/hipo.20327.Chandra) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detector":"doi_compliance","severity":"advisory","ref_index":2,"audited_at":"2026-05-19T19:41:02.250764Z","detected_doi":"10.1002/hipo.20327.Chandra","finding_type":"recoverable_identifier","verdict_class":"incontrovertible","detected_arxiv_id":null}],"available":true,"detectors_run":[{"name":"doi_title_agreement","ran_at":"2026-05-19T20:01:19.197194Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_compliance","ran_at":"2026-05-19T19:41:02.250764Z","status":"completed","version":"1.0.0","findings_count":2},{"name":"ai_meta_artifact","ran_at":"2026-05-19T19:33:24.535262Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"claim_evidence","ran_at":"2026-05-19T17:21:55.990030Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"50f117e13b8af118dc8128d396c78e700ac275ee383a7c4bf03d1190b2fd6e19"},"references":{"count":18,"sample":[{"doi":"","year":null,"title":"UniVLA: Learning to Act Anywhere with Task-centric Latent Actions","work_id":"e05d654d-db73-48f6-9318-381b6798bac9","ref_index":1,"cited_arxiv_id":"2505.06111","is_internal_anchor":true},{"doi":"10.1002/hipo","year":null,"title":"doi: 10.1002/hipo","work_id":"6415b822-5fae-4c0f-a9a1-722a8aac2aae","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":null,"title":"doi: 10.1038/ s41586-024-08392-y","work_id":"b127536f-15a2-43f9-9edf-3ceb198ec554","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"10.1523/jneurosci","year":2006,"title":"09-07-02382.1989","work_id":"a690fa1b-1b18-47e7-9d31-a8fdbcbb3403","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"10.1038/s41467-021-22559-5","year":2041,"title":"doi: 10.1038/s41467-021-22559-5","work_id":"15e1824c-ee26-446a-9129-8d734d88eabd","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":18,"snapshot_sha256":"a5dbf1ad06cf38408d4cc216560ac13f1499d395d3174581c9a68af686ed3ec4","internal_anchors":3},"formal_canon":{"evidence_count":2,"snapshot_sha256":"589bec9bf4fa17459da5b697bc1dd07a28654d89051c9a4abd061d72607e6522"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":"2da8e833-38d8-45fe-a339-f3098b971151"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:01:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tdkhwy1MmmTQvmrBBBQHhpO9kwvq59tDDkh/KF+9pnUcHoaXcOYlgcS0Ud8icRt+XBQ11NYyTN+8Uwq2YjboBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T04:44:40.251467Z"},"content_sha256":"b1d930019b21fdc31f94bb8889d237f3726ea69c6700ec2240c50dffa1ee0b27","schema_version":"1.0","event_id":"sha256:b1d930019b21fdc31f94bb8889d237f3726ea69c6700ec2240c50dffa1ee0b27"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:SBWTAKCPMMSK7K2XAZ2VLBG3SN","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1523/JNEUROSCI.4353-05.2006.URL) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"ISSN 0270-6474, 1529-2401. doi: 10.1523/JNEUROSCI. 4353-05.2006. URL https://www.jneurosci. org/content/26/16/4266. Publisher: Society for Neuroscience Section: Articles. Gao, S., Zhou, S., Du, Y ., Zhang, J., and Gan, C. Ada- World: Learni","arxiv_id":"2605.15733","detector":"doi_compliance","evidence":{"ref_index":4,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"ISSN 0270-6474, 1529-2401. doi: 10.1523/JNEUROSCI. 4353-05.2006. URL https://www.jneurosci. org/content/26/16/4266. Publisher: Society for Neuroscience Section: Articles. Gao, S., Zhou, S., Du, Y ., Zhang, J., and Gan, C. Ada- World: Learni","reconstructed_doi":"10.1523/JNEUROSCI.4353-05.2006.URL"},"severity":"advisory","ref_index":4,"audited_at":"2026-05-19T19:41:02.250764Z","event_type":"pith.integrity.v1","detected_doi":"10.1523/JNEUROSCI.4353-05.2006.URL","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"d683ff31534bcea12559196474d54c6211d1a1920b0527e46688d25b9b7f28f4","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":2756,"payload_sha256":"6a0eae9ccdf01301a4c1e2ccf012a5e94771f55a0ae8ce504ad2d89a7255a38b","signature_b64":"b/dy7gnuqczsOqZECsxAeXyo5fgxMHgT6TwEqRZEz5o8xYzvu9TREnpQsDQcsAPPLd86pHIveMSmqrWGrDjrAQ==","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":"2026-05-19T19:42:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8v81x0cl1nW8j7dNRramMLx9R8eYBkSSiJmXdL5n11he9raYwsflL7STQO7OiLBFZDPbx7gsaU/jQDFM85bnDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T04:44:40.252373Z"},"content_sha256":"45d2ac5740609ad0e842dfe0100d3a32969991515e3f96ba27754ab172d77c82","schema_version":"1.0","event_id":"sha256:45d2ac5740609ad0e842dfe0100d3a32969991515e3f96ba27754ab172d77c82"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:SBWTAKCPMMSK7K2XAZ2VLBG3SN","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1002/hipo.20327.Chandra) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"ISSN 1050-9631. doi: 10.1002/hipo. 20327. Chandra, S., Sharma, S., Chaudhuri, R., and Fiete, I. Episodic and associative memory from spatial scaffolds in the hippocampus.Nature, 638(8051):739–751, Febru- ary","arxiv_id":"2605.15733","detector":"doi_compliance","evidence":{"ref_index":2,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"ISSN 1050-9631. doi: 10.1002/hipo. 20327. Chandra, S., Sharma, S., Chaudhuri, R., and Fiete, I. Episodic and associative memory from spatial scaffolds in the hippocampus.Nature, 638(8051):739–751, Febru- ary","reconstructed_doi":"10.1002/hipo.20327.Chandra"},"severity":"advisory","ref_index":2,"audited_at":"2026-05-19T19:41:02.250764Z","event_type":"pith.integrity.v1","detected_doi":"10.1002/hipo.20327.Chandra","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"ce6e9b00ab868bf65f89cddedcb059088f069456a63c3c6f2fc5b302837febce","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":2755,"payload_sha256":"8ed518a48868472ba29aee485acc283c3fa07f183edb7bf53d822526c0424d12","signature_b64":"qLJFcusVq1A44WMZMSskCjZj/mGjIubSHbzY8pzqM3N0jfx5jKTbEPxwgcJETT9zdWRP4Arfi0a6T87cx9ooBA==","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":"2026-05-19T19:42:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pQssrg8rjyc2SYUMHjQPwVELImWNb8Oqotuu/GxmjKxX5vED0QFvG+11/5hQv27ab5fQmHoPSUR9aaZBq62/BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T04:44:40.252680Z"},"content_sha256":"88c378237ca31be8664f36526591e71cc385f863ab9b97bfa019b9a039211247","schema_version":"1.0","event_id":"sha256:88c378237ca31be8664f36526591e71cc385f863ab9b97bfa019b9a039211247"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SBWTAKCPMMSK7K2XAZ2VLBG3SN/bundle.json","state_url":"https://pith.science/pith/SBWTAKCPMMSK7K2XAZ2VLBG3SN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SBWTAKCPMMSK7K2XAZ2VLBG3SN/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":"2026-05-21T04:44:40Z","links":{"resolver":"https://pith.science/pith/SBWTAKCPMMSK7K2XAZ2VLBG3SN","bundle":"https://pith.science/pith/SBWTAKCPMMSK7K2XAZ2VLBG3SN/bundle.json","state":"https://pith.science/pith/SBWTAKCPMMSK7K2XAZ2VLBG3SN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SBWTAKCPMMSK7K2XAZ2VLBG3SN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SBWTAKCPMMSK7K2XAZ2VLBG3SN","merge_version":"pith-open-graph-merge-v1","event_count":4,"valid_event_count":4,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"caccc1a80ae5876cb04a5f369e7f0d5b4ec1527ed5e2b02d4a78d84736ee5d0f","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2026-05-15T08:36:40Z","title_canon_sha256":"568cd8de5ac23a44a942bb8cff5aa95bdb6a2e8b0662c3020925f186b4d26743"},"schema_version":"1.0","source":{"id":"2605.15733","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15733","created_at":"2026-05-20T00:01:15Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15733v1","created_at":"2026-05-20T00:01:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15733","created_at":"2026-05-20T00:01:15Z"},{"alias_kind":"pith_short_12","alias_value":"SBWTAKCPMMSK","created_at":"2026-05-20T00:01:15Z"},{"alias_kind":"pith_short_16","alias_value":"SBWTAKCPMMSK7K2X","created_at":"2026-05-20T00:01:15Z"},{"alias_kind":"pith_short_8","alias_value":"SBWTAKCP","created_at":"2026-05-20T00:01:15Z"}],"graph_snapshots":[{"event_id":"sha256:b1d930019b21fdc31f94bb8889d237f3726ea69c6700ec2240c50dffa1ee0b27","target":"graph","created_at":"2026-05-20T00:01:15Z","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":4,"items":[{"attestation":"unclaimed","claim_id":"C1","kind":"strongest_claim","source":"verdict.strongest_claim","status":"machine_extracted","text":"By leveraging velocity-driven path integration, the framework enables robust prediction and structural reuse across diverse contexts, thereby achieving structural generalization."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"The assumption that the proposed inverse model plus HPC-MEC coupling accurately extracts and dissociates relational structures from episodic scenes in a manner that mirrors biological mechanisms and that primitive transformation dynamics constitute a sufficient benchmark for demonstrating this capacity."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"A brain-inspired hierarchical model with inverse structural extraction and HPC-MEC dissociation achieves structural abstraction and generalization in visual world models via velocity-driven path integration."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"A hippocampal-entorhinal inspired model abstracts structures from dynamic scenes to enable generalization through path integration."}],"snapshot_sha256":"814bb1c6a39099166e52628c401c6d44d6321023e624d78ffe743add98ff809f"},"formal_canon":{"evidence_count":2,"snapshot_sha256":"589bec9bf4fa17459da5b697bc1dd07a28654d89051c9a4abd061d72607e6522"},"integrity":{"available":true,"clean":false,"detectors_run":[{"findings_count":0,"name":"doi_title_agreement","ran_at":"2026-05-19T20:01:19.197194Z","status":"completed","version":"1.0.0"},{"findings_count":2,"name":"doi_compliance","ran_at":"2026-05-19T19:41:02.250764Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T19:33:24.535262Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T17:21:55.990030Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.15733/integrity.json","findings":[{"audited_at":"2026-05-19T19:41:02.250764Z","detected_arxiv_id":null,"detected_doi":"10.1523/JNEUROSCI.4353-05.2006.URL","detector":"doi_compliance","finding_type":"recoverable_identifier","note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1523/JNEUROSCI.4353-05.2006.URL) was visible in the surrounding text but could not be confirmed against doi.org as printed.","ref_index":4,"severity":"advisory","verdict_class":"incontrovertible"},{"audited_at":"2026-05-19T19:41:02.250764Z","detected_arxiv_id":null,"detected_doi":"10.1002/hipo.20327.Chandra","detector":"doi_compliance","finding_type":"recoverable_identifier","note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1002/hipo.20327.Chandra) was visible in the surrounding text but could not be confirmed against doi.org as printed.","ref_index":2,"severity":"advisory","verdict_class":"incontrovertible"}],"snapshot_sha256":"50f117e13b8af118dc8128d396c78e700ac275ee383a7c4bf03d1190b2fd6e19","summary":{"advisory":2,"by_detector":{"doi_compliance":{"advisory":2,"critical":0,"informational":0,"total":2}},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Humans abstract experiences into structured representations to facilitate pattern inference and knowledge transfer. While the hippocampal-entorhinal (HPC-MEC) circuit is known to represent both spatial and conceptual spaces, the mechanisms for concurrently extracting abstract structures from continuous, high-dimensional dynamics remain poorly understood. We propose a brain-inspired hierarchical model that simultaneously infers latent transitions and constructs a predictive visual world model. Our architecture employs an inverse model for structural extraction alongside an HPC-MEC coupling mode","authors_text":"Muyang Lyu, Si Wu, Tianqiu Zhang, Xiao Liu","cross_cats":["cs.AI","cs.CV"],"headline":"A hippocampal-entorhinal inspired model abstracts structures from dynamic scenes to enable generalization through path integration.","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2026-05-15T08:36:40Z","title":"Structure Abstraction and Generalization in a Hippocampal-Entorhinal Inspired World Model"},"references":{"count":18,"internal_anchors":3,"resolved_work":18,"sample":[{"cited_arxiv_id":"2505.06111","doi":"","is_internal_anchor":true,"ref_index":1,"title":"UniVLA: Learning to Act Anywhere with Task-centric Latent Actions","work_id":"e05d654d-db73-48f6-9318-381b6798bac9","year":null},{"cited_arxiv_id":"","doi":"10.1002/hipo","is_internal_anchor":false,"ref_index":2,"title":"doi: 10.1002/hipo","work_id":"6415b822-5fae-4c0f-a9a1-722a8aac2aae","year":null},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":3,"title":"doi: 10.1038/ s41586-024-08392-y","work_id":"b127536f-15a2-43f9-9edf-3ceb198ec554","year":null},{"cited_arxiv_id":"","doi":"10.1523/jneurosci","is_internal_anchor":false,"ref_index":4,"title":"09-07-02382.1989","work_id":"a690fa1b-1b18-47e7-9d31-a8fdbcbb3403","year":2006},{"cited_arxiv_id":"","doi":"10.1038/s41467-021-22559-5","is_internal_anchor":false,"ref_index":5,"title":"doi: 10.1038/s41467-021-22559-5","work_id":"15e1824c-ee26-446a-9129-8d734d88eabd","year":2041}],"snapshot_sha256":"a5dbf1ad06cf38408d4cc216560ac13f1499d395d3174581c9a68af686ed3ec4"},"source":{"id":"2605.15733","kind":"arxiv","version":1},"verdict":{"created_at":"2026-05-19T19:32:39.407279Z","id":"2da8e833-38d8-45fe-a339-f3098b971151","model_set":{"reader":"grok-4.3"},"one_line_summary":"A brain-inspired hierarchical model with inverse structural extraction and HPC-MEC dissociation achieves structural abstraction and generalization in visual world models via velocity-driven path integration.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"A hippocampal-entorhinal inspired model abstracts structures from dynamic scenes to enable generalization through path integration.","strongest_claim":"By leveraging velocity-driven path integration, the framework enables robust prediction and structural reuse across diverse contexts, thereby achieving structural generalization.","weakest_assumption":"The assumption that the proposed inverse model plus HPC-MEC coupling accurately extracts and dissociates relational structures from episodic scenes in a manner that mirrors biological mechanisms and that primitive transformation dynamics constitute a sufficient benchmark for demonstrating this capacity."}},"verdict_id":"2da8e833-38d8-45fe-a339-f3098b971151"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:6ec3c6ed86dc15ed670aabffdb5481a51210ed2be842816ea51792029b999a9d","target":"record","created_at":"2026-05-20T00:01:15Z","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":"caccc1a80ae5876cb04a5f369e7f0d5b4ec1527ed5e2b02d4a78d84736ee5d0f","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2026-05-15T08:36:40Z","title_canon_sha256":"568cd8de5ac23a44a942bb8cff5aa95bdb6a2e8b0662c3020925f186b4d26743"},"schema_version":"1.0","source":{"id":"2605.15733","kind":"arxiv","version":1}},"canonical_sha256":"906d30284f6324afab5706755584db9341380202f9069477782d952159523597","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"906d30284f6324afab5706755584db9341380202f9069477782d952159523597","first_computed_at":"2026-05-20T00:01:15.386859Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:01:15.386859Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MeP5ZDojimqb6BNSollF/MG/+v4S3HnPoAcmTAvPwXgfriDJMtlLoavsCSA97sDbj6wDEpNQUm87HZQwKNA/Dw==","signature_status":"signed_v1","signed_at":"2026-05-20T00:01:15.387697Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.15733","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:45d2ac5740609ad0e842dfe0100d3a32969991515e3f96ba27754ab172d77c82","sha256:88c378237ca31be8664f36526591e71cc385f863ab9b97bfa019b9a039211247"]}],"invalid_events":[],"applied_event_ids":["sha256:6ec3c6ed86dc15ed670aabffdb5481a51210ed2be842816ea51792029b999a9d","sha256:b1d930019b21fdc31f94bb8889d237f3726ea69c6700ec2240c50dffa1ee0b27"],"state_sha256":"47e73b902e0ef588c8e29615eec7ec0c1494f262e503bacd76454830dca02327"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"haTPV6vsRO0NGSAWxEvkrdh7e1zApFRWzfEehLQ9+6Xr6WPkk6k6JuSonOZSQgA09JsiqGS1WsMC5MH2xUA9CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-21T04:44:40.255541Z","bundle_sha256":"1c7d0517f971a1137cc55525687bec046f2bf1f6a637f56fca3e2e7a2d466d48"}}