{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:7WUY4FTYIJFE5GC22Q7P2GDHAI","short_pith_number":"pith:7WUY4FTY","schema_version":"1.0","canonical_sha256":"fda98e1678424a4e985ad43efd186702172a393e829d1b6788b2809cae768479","source":{"kind":"arxiv","id":"2606.20707","version":1},"attestation_state":"computed","paper":{"title":"GEOPHYS: The Geometry of Physical Plausibility","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Alexander Pondaven, Barbara Hammer, Christian Intern\\`o, David Klindt, Eero P. Simoncelli, Fabio Pizzati, Francesco Pinto, Habon Issa, Ivan Laptev, Markus Olhofer, Philip Torr","submitted_at":"2026-06-15T20:51:35Z","abstract_excerpt":"While humans can identify physically implausible events within milliseconds, machine learning approaches addressing the same problem are extremely slow and expensive. They either rely on external multimodal-LLM judges or require ad-hoc modifications to the training procedure. In this work, we argue that indicators of physical plausibility are implicitly captured by five geometric properties of the per-frame embeddings produced by frozen image encoders. In aggregate, we call them GEOPHYS. First, we show that these signals correlate with human EEG responses to two forms of object-permanence viol"},"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":"2606.20707","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-15T20:51:35Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c79718e13040df19db4783e8b9945fca92ece557a20660d0e4dfcfc94762d375","abstract_canon_sha256":"98d38980202221065560980b6d0e486151796c9f3b0e3f5a9d2c54f96f7f8aa8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T00:11:54.298184Z","signature_b64":"XC5mJkkvEdJFfRdJnq5OwxuV67Rt66sCpxX8uc0lSde5HQVeAHgY6PO69IuhgfBVTmDOL73r9P/MsVZYLbftDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fda98e1678424a4e985ad43efd186702172a393e829d1b6788b2809cae768479","last_reissued_at":"2026-06-23T00:11:54.297728Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T00:11:54.297728Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"GEOPHYS: The Geometry of Physical Plausibility","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Alexander Pondaven, Barbara Hammer, Christian Intern\\`o, David Klindt, Eero P. Simoncelli, Fabio Pizzati, Francesco Pinto, Habon Issa, Ivan Laptev, Markus Olhofer, Philip Torr","submitted_at":"2026-06-15T20:51:35Z","abstract_excerpt":"While humans can identify physically implausible events within milliseconds, machine learning approaches addressing the same problem are extremely slow and expensive. They either rely on external multimodal-LLM judges or require ad-hoc modifications to the training procedure. In this work, we argue that indicators of physical plausibility are implicitly captured by five geometric properties of the per-frame embeddings produced by frozen image encoders. In aggregate, we call them GEOPHYS. First, we show that these signals correlate with human EEG responses to two forms of object-permanence viol"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20707","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/2606.20707/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":"2606.20707","created_at":"2026-06-23T00:11:54.297796+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.20707v1","created_at":"2026-06-23T00:11:54.297796+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20707","created_at":"2026-06-23T00:11:54.297796+00:00"},{"alias_kind":"pith_short_12","alias_value":"7WUY4FTYIJFE","created_at":"2026-06-23T00:11:54.297796+00:00"},{"alias_kind":"pith_short_16","alias_value":"7WUY4FTYIJFE5GC2","created_at":"2026-06-23T00:11:54.297796+00:00"},{"alias_kind":"pith_short_8","alias_value":"7WUY4FTY","created_at":"2026-06-23T00:11:54.297796+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/7WUY4FTYIJFE5GC22Q7P2GDHAI","json":"https://pith.science/pith/7WUY4FTYIJFE5GC22Q7P2GDHAI.json","graph_json":"https://pith.science/api/pith-number/7WUY4FTYIJFE5GC22Q7P2GDHAI/graph.json","events_json":"https://pith.science/api/pith-number/7WUY4FTYIJFE5GC22Q7P2GDHAI/events.json","paper":"https://pith.science/paper/7WUY4FTY"},"agent_actions":{"view_html":"https://pith.science/pith/7WUY4FTYIJFE5GC22Q7P2GDHAI","download_json":"https://pith.science/pith/7WUY4FTYIJFE5GC22Q7P2GDHAI.json","view_paper":"https://pith.science/paper/7WUY4FTY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.20707&json=true","fetch_graph":"https://pith.science/api/pith-number/7WUY4FTYIJFE5GC22Q7P2GDHAI/graph.json","fetch_events":"https://pith.science/api/pith-number/7WUY4FTYIJFE5GC22Q7P2GDHAI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7WUY4FTYIJFE5GC22Q7P2GDHAI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7WUY4FTYIJFE5GC22Q7P2GDHAI/action/storage_attestation","attest_author":"https://pith.science/pith/7WUY4FTYIJFE5GC22Q7P2GDHAI/action/author_attestation","sign_citation":"https://pith.science/pith/7WUY4FTYIJFE5GC22Q7P2GDHAI/action/citation_signature","submit_replication":"https://pith.science/pith/7WUY4FTYIJFE5GC22Q7P2GDHAI/action/replication_record"}},"created_at":"2026-06-23T00:11:54.297796+00:00","updated_at":"2026-06-23T00:11:54.297796+00:00"}