{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:WQ65JJEEXJZJKNTM6JSHQ642YD","short_pith_number":"pith:WQ65JJEE","canonical_record":{"source":{"id":"2603.14483","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-03-15T17:03:34Z","cross_cats_sorted":[],"title_canon_sha256":"845139495665c26802e92ba3d50d797dbe004902ac8cfbe42016d9785ea0f53c","abstract_canon_sha256":"a0f30532c88227eaee475b23619fac89df756d4eed96735b0bd382c714f2f473"},"schema_version":"1.0"},"canonical_sha256":"b43dd4a484ba7295366cf264787b9ac0cb0ee4729473af202a021eb8d8daf6ba","source":{"kind":"arxiv","id":"2603.14483","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.14483","created_at":"2026-06-12T01:09:25Z"},{"alias_kind":"arxiv_version","alias_value":"2603.14483v2","created_at":"2026-06-12T01:09:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.14483","created_at":"2026-06-12T01:09:25Z"},{"alias_kind":"pith_short_12","alias_value":"WQ65JJEEXJZJ","created_at":"2026-06-12T01:09:25Z"},{"alias_kind":"pith_short_16","alias_value":"WQ65JJEEXJZJKNTM","created_at":"2026-06-12T01:09:25Z"},{"alias_kind":"pith_short_8","alias_value":"WQ65JJEE","created_at":"2026-06-12T01:09:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:WQ65JJEEXJZJKNTM6JSHQ642YD","target":"record","payload":{"canonical_record":{"source":{"id":"2603.14483","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-03-15T17:03:34Z","cross_cats_sorted":[],"title_canon_sha256":"845139495665c26802e92ba3d50d797dbe004902ac8cfbe42016d9785ea0f53c","abstract_canon_sha256":"a0f30532c88227eaee475b23619fac89df756d4eed96735b0bd382c714f2f473"},"schema_version":"1.0"},"canonical_sha256":"b43dd4a484ba7295366cf264787b9ac0cb0ee4729473af202a021eb8d8daf6ba","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-12T01:09:25.072493Z","signature_b64":"LoXtHHQEj4Blm3itTGzbdNIyKLuTpEd95b8YvBoVZvYh4k41DqQPJOXnfM1aJvyycI4vr4OwlqTx8h1kzQWqCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b43dd4a484ba7295366cf264787b9ac0cb0ee4729473af202a021eb8d8daf6ba","last_reissued_at":"2026-06-12T01:09:25.072011Z","signature_status":"signed_v1","first_computed_at":"2026-06-12T01:09:25.072011Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2603.14483","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":"2026-06-12T01:09:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wnYNWPFg9+I8j85bH1o2C/4/4t14m96Rz3KqsFVz/DykFg5ZE4riv01Ms56YHZSV8U4T0fEO39l6cWZiGOCqBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T04:14:23.464495Z"},"content_sha256":"197b6db9fcc76876f428c0688c1163293d5c9076d689bbb3c8d191435e7fc1b2","schema_version":"1.0","event_id":"sha256:197b6db9fcc76876f428c0688c1163293d5c9076d689bbb3c8d191435e7fc1b2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:WQ65JJEEXJZJKNTM6JSHQ642YD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Disentangling Dynamical Systems: Causal Representation Learning Meets Local Sparse Attention","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Anson Lei, Ingmar Posner, Joe Watson, Markus W. Baumgartner","submitted_at":"2026-03-15T17:03:34Z","abstract_excerpt":"Parametric system identification methods estimate the parameters of explicitly defined physical systems from data. Yet, they remain constrained by the need to provide an explicit function space, typically through a predefined library of candidate functions chosen via available domain knowledge. In contrast, deep learning can demonstrably model systems of broad complexity with high fidelity, but black-box function approximation typically fails to yield explicit descriptive or disentangled representations revealing the structure of a system. We develop a novel identifiability theorem, leveraging"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.14483","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/2603.14483/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":"2026-06-12T01:09:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dNoLK+0th+F6Laoy0juDA2pVBX3pq/UD/xg9Qiw2zEansPNnF0pt0V0AAsZsLl2f7R4RP3ItjgPNwAw0jFL+CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T04:14:23.465142Z"},"content_sha256":"46da917078933d981ff05addcabf9c7ae0d04fb88e7e0d3e1bf4e237380dfe5f","schema_version":"1.0","event_id":"sha256:46da917078933d981ff05addcabf9c7ae0d04fb88e7e0d3e1bf4e237380dfe5f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WQ65JJEEXJZJKNTM6JSHQ642YD/bundle.json","state_url":"https://pith.science/pith/WQ65JJEEXJZJKNTM6JSHQ642YD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WQ65JJEEXJZJKNTM6JSHQ642YD/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":"2026-07-04T04:14:23Z","links":{"resolver":"https://pith.science/pith/WQ65JJEEXJZJKNTM6JSHQ642YD","bundle":"https://pith.science/pith/WQ65JJEEXJZJKNTM6JSHQ642YD/bundle.json","state":"https://pith.science/pith/WQ65JJEEXJZJKNTM6JSHQ642YD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WQ65JJEEXJZJKNTM6JSHQ642YD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WQ65JJEEXJZJKNTM6JSHQ642YD","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":"a0f30532c88227eaee475b23619fac89df756d4eed96735b0bd382c714f2f473","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-03-15T17:03:34Z","title_canon_sha256":"845139495665c26802e92ba3d50d797dbe004902ac8cfbe42016d9785ea0f53c"},"schema_version":"1.0","source":{"id":"2603.14483","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.14483","created_at":"2026-06-12T01:09:25Z"},{"alias_kind":"arxiv_version","alias_value":"2603.14483v2","created_at":"2026-06-12T01:09:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.14483","created_at":"2026-06-12T01:09:25Z"},{"alias_kind":"pith_short_12","alias_value":"WQ65JJEEXJZJ","created_at":"2026-06-12T01:09:25Z"},{"alias_kind":"pith_short_16","alias_value":"WQ65JJEEXJZJKNTM","created_at":"2026-06-12T01:09:25Z"},{"alias_kind":"pith_short_8","alias_value":"WQ65JJEE","created_at":"2026-06-12T01:09:25Z"}],"graph_snapshots":[{"event_id":"sha256:46da917078933d981ff05addcabf9c7ae0d04fb88e7e0d3e1bf4e237380dfe5f","target":"graph","created_at":"2026-06-12T01:09:25Z","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/2603.14483/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Parametric system identification methods estimate the parameters of explicitly defined physical systems from data. Yet, they remain constrained by the need to provide an explicit function space, typically through a predefined library of candidate functions chosen via available domain knowledge. In contrast, deep learning can demonstrably model systems of broad complexity with high fidelity, but black-box function approximation typically fails to yield explicit descriptive or disentangled representations revealing the structure of a system. We develop a novel identifiability theorem, leveraging","authors_text":"Anson Lei, Ingmar Posner, Joe Watson, Markus W. Baumgartner","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-03-15T17:03:34Z","title":"Disentangling Dynamical Systems: Causal Representation Learning Meets Local Sparse Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.14483","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":"sha256:197b6db9fcc76876f428c0688c1163293d5c9076d689bbb3c8d191435e7fc1b2","target":"record","created_at":"2026-06-12T01:09:25Z","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":"a0f30532c88227eaee475b23619fac89df756d4eed96735b0bd382c714f2f473","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-03-15T17:03:34Z","title_canon_sha256":"845139495665c26802e92ba3d50d797dbe004902ac8cfbe42016d9785ea0f53c"},"schema_version":"1.0","source":{"id":"2603.14483","kind":"arxiv","version":2}},"canonical_sha256":"b43dd4a484ba7295366cf264787b9ac0cb0ee4729473af202a021eb8d8daf6ba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b43dd4a484ba7295366cf264787b9ac0cb0ee4729473af202a021eb8d8daf6ba","first_computed_at":"2026-06-12T01:09:25.072011Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-12T01:09:25.072011Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LoXtHHQEj4Blm3itTGzbdNIyKLuTpEd95b8YvBoVZvYh4k41DqQPJOXnfM1aJvyycI4vr4OwlqTx8h1kzQWqCw==","signature_status":"signed_v1","signed_at":"2026-06-12T01:09:25.072493Z","signed_message":"canonical_sha256_bytes"},"source_id":"2603.14483","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:197b6db9fcc76876f428c0688c1163293d5c9076d689bbb3c8d191435e7fc1b2","sha256:46da917078933d981ff05addcabf9c7ae0d04fb88e7e0d3e1bf4e237380dfe5f"],"state_sha256":"0d07d7d7fc1e7a85e57e37da73c140253c2eeab786bf8dee00609b55326eb79d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5sxTk6vwIPFWdGpe2xrGGFEo1fDTa0P+jurzdXlq2+WurHCZxE3OP77gIZFFlkSC2ei1KqOwXkSOZfLvzmbmBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T04:14:23.468900Z","bundle_sha256":"655ffed76abdf5e062f00c2d34d6401eeb4313809cfd35c58558c84125c24854"}}