{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KO2WQJ4AQRVBYZLW6KNNQ3IPDL","short_pith_number":"pith:KO2WQJ4A","canonical_record":{"source":{"id":"2505.13281","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-19T16:04:53Z","cross_cats_sorted":[],"title_canon_sha256":"183d6021253b30e22ab8de2eb025f4110b23aef968107ccf935c1f03692dfda4","abstract_canon_sha256":"98b7e5ea8e7ef5ad358507dc012c1855dfbc4181280eb851c1d1d0b313cf50ea"},"schema_version":"1.0"},"canonical_sha256":"53b5682780846a1c6576f29ad86d0f1ad1ce7670f0e2e4597046e96c9868ee5a","source":{"kind":"arxiv","id":"2505.13281","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.13281","created_at":"2026-07-05T11:05:27Z"},{"alias_kind":"arxiv_version","alias_value":"2505.13281v1","created_at":"2026-07-05T11:05:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.13281","created_at":"2026-07-05T11:05:27Z"},{"alias_kind":"pith_short_12","alias_value":"KO2WQJ4AQRVB","created_at":"2026-07-05T11:05:27Z"},{"alias_kind":"pith_short_16","alias_value":"KO2WQJ4AQRVBYZLW","created_at":"2026-07-05T11:05:27Z"},{"alias_kind":"pith_short_8","alias_value":"KO2WQJ4A","created_at":"2026-07-05T11:05:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KO2WQJ4AQRVBYZLW6KNNQ3IPDL","target":"record","payload":{"canonical_record":{"source":{"id":"2505.13281","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-19T16:04:53Z","cross_cats_sorted":[],"title_canon_sha256":"183d6021253b30e22ab8de2eb025f4110b23aef968107ccf935c1f03692dfda4","abstract_canon_sha256":"98b7e5ea8e7ef5ad358507dc012c1855dfbc4181280eb851c1d1d0b313cf50ea"},"schema_version":"1.0"},"canonical_sha256":"53b5682780846a1c6576f29ad86d0f1ad1ce7670f0e2e4597046e96c9868ee5a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:05:27.754745Z","signature_b64":"v6ru0F5mAElnt6s9vUNSx1KSK0u4HSlaOvdKBQlw6ujWxciLsL2ypsL4PedL1Acg7Msnkhs0OeQd2ERTtbKUCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"53b5682780846a1c6576f29ad86d0f1ad1ce7670f0e2e4597046e96c9868ee5a","last_reissued_at":"2026-07-05T11:05:27.754347Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:05:27.754347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.13281","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":"2026-07-05T11:05:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zwHI9/nlrD7oD3/xbwo0M/PKWVpaHFw+CPnalRfZDA253p/axMX2QmXGMt2kxc/mem8XEKrqVkwew9Vkk+4JAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T03:55:38.217091Z"},"content_sha256":"c12bbf5af38cf8ad347014eadb37bafda92740e829995001e082f46c4e237d12","schema_version":"1.0","event_id":"sha256:c12bbf5af38cf8ad347014eadb37bafda92740e829995001e082f46c4e237d12"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KO2WQJ4AQRVBYZLW6KNNQ3IPDL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Sashank Varma, Zekun Wang","submitted_at":"2025-05-19T16:04:53Z","abstract_excerpt":"With the rapid improvement of machine learning (ML) models, cognitive scientists are increasingly asking about their alignment with how humans think. Here, we ask this question for computer vision models and human sensitivity to geometric and topological (GT) concepts. Under the core knowledge account, these concepts are innate and supported by dedicated neural circuitry. In this work, we investigate an alternative explanation, that GT concepts are learned ``for free'' through everyday interaction with the environment. We do so using computer visions models, which are trained on large image da"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.13281","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/2505.13281/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":"2026-07-05T11:05:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Sr/mEKSfwInOIp/G+N8VD5gbSfHYvp2qX9zefxAjDL/Qxhf9sd1KvrrLdaSedtiYYFHgctHJO1cG6u2VBg3LCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T03:55:38.217623Z"},"content_sha256":"a6f73d4c8b372d310710813fac251cd79cd86da52dfbe95464ae2427de537fd8","schema_version":"1.0","event_id":"sha256:a6f73d4c8b372d310710813fac251cd79cd86da52dfbe95464ae2427de537fd8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KO2WQJ4AQRVBYZLW6KNNQ3IPDL/bundle.json","state_url":"https://pith.science/pith/KO2WQJ4AQRVBYZLW6KNNQ3IPDL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KO2WQJ4AQRVBYZLW6KNNQ3IPDL/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":"2026-08-16T03:55:38Z","links":{"resolver":"https://pith.science/pith/KO2WQJ4AQRVBYZLW6KNNQ3IPDL","bundle":"https://pith.science/pith/KO2WQJ4AQRVBYZLW6KNNQ3IPDL/bundle.json","state":"https://pith.science/pith/KO2WQJ4AQRVBYZLW6KNNQ3IPDL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KO2WQJ4AQRVBYZLW6KNNQ3IPDL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KO2WQJ4AQRVBYZLW6KNNQ3IPDL","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":"98b7e5ea8e7ef5ad358507dc012c1855dfbc4181280eb851c1d1d0b313cf50ea","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-19T16:04:53Z","title_canon_sha256":"183d6021253b30e22ab8de2eb025f4110b23aef968107ccf935c1f03692dfda4"},"schema_version":"1.0","source":{"id":"2505.13281","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.13281","created_at":"2026-07-05T11:05:27Z"},{"alias_kind":"arxiv_version","alias_value":"2505.13281v1","created_at":"2026-07-05T11:05:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.13281","created_at":"2026-07-05T11:05:27Z"},{"alias_kind":"pith_short_12","alias_value":"KO2WQJ4AQRVB","created_at":"2026-07-05T11:05:27Z"},{"alias_kind":"pith_short_16","alias_value":"KO2WQJ4AQRVBYZLW","created_at":"2026-07-05T11:05:27Z"},{"alias_kind":"pith_short_8","alias_value":"KO2WQJ4A","created_at":"2026-07-05T11:05:27Z"}],"graph_snapshots":[{"event_id":"sha256:a6f73d4c8b372d310710813fac251cd79cd86da52dfbe95464ae2427de537fd8","target":"graph","created_at":"2026-07-05T11:05:27Z","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/2505.13281/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the rapid improvement of machine learning (ML) models, cognitive scientists are increasingly asking about their alignment with how humans think. Here, we ask this question for computer vision models and human sensitivity to geometric and topological (GT) concepts. Under the core knowledge account, these concepts are innate and supported by dedicated neural circuitry. In this work, we investigate an alternative explanation, that GT concepts are learned ``for free'' through everyday interaction with the environment. We do so using computer visions models, which are trained on large image da","authors_text":"Sashank Varma, Zekun Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-19T16:04:53Z","title":"Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.13281","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:c12bbf5af38cf8ad347014eadb37bafda92740e829995001e082f46c4e237d12","target":"record","created_at":"2026-07-05T11:05:27Z","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":"98b7e5ea8e7ef5ad358507dc012c1855dfbc4181280eb851c1d1d0b313cf50ea","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-19T16:04:53Z","title_canon_sha256":"183d6021253b30e22ab8de2eb025f4110b23aef968107ccf935c1f03692dfda4"},"schema_version":"1.0","source":{"id":"2505.13281","kind":"arxiv","version":1}},"canonical_sha256":"53b5682780846a1c6576f29ad86d0f1ad1ce7670f0e2e4597046e96c9868ee5a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"53b5682780846a1c6576f29ad86d0f1ad1ce7670f0e2e4597046e96c9868ee5a","first_computed_at":"2026-07-05T11:05:27.754347Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:05:27.754347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v6ru0F5mAElnt6s9vUNSx1KSK0u4HSlaOvdKBQlw6ujWxciLsL2ypsL4PedL1Acg7Msnkhs0OeQd2ERTtbKUCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:05:27.754745Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.13281","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c12bbf5af38cf8ad347014eadb37bafda92740e829995001e082f46c4e237d12","sha256:a6f73d4c8b372d310710813fac251cd79cd86da52dfbe95464ae2427de537fd8"],"state_sha256":"1874579554227c7608fa5d12e8398419d5949d2ea6558dc78ce003e9e31d2830"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YnjmV5CMk2VOkPK7rgsgDf/cLC/3QmW0Xg7IRkLWea7YQ2q6ibOz+dw/hpiey+L2CjoUPDElrocezukEe1PCDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T03:55:38.221215Z","bundle_sha256":"87d65407fbe01c4ab306c3bb238bc92d3c43941f6e873d8c450d79ff70fd3393"}}