{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:Z64WN3RZGTZ27L3ZPA4BOHVISL","short_pith_number":"pith:Z64WN3RZ","canonical_record":{"source":{"id":"2502.04170","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-06T15:58:30Z","cross_cats_sorted":[],"title_canon_sha256":"188f10f687eaaf4a8c173782518199848d99801d06d12b5ab1c05e6e8cc6ee98","abstract_canon_sha256":"1af9952a0427f8527c1a1818d73c16c138c3fd29825958c92b48679b2938f158"},"schema_version":"1.0"},"canonical_sha256":"cfb966ee3934f3afaf797838171ea892d8acdd9cb8492fcef84a78c0d29bc4c4","source":{"kind":"arxiv","id":"2502.04170","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.04170","created_at":"2026-07-05T10:10:34Z"},{"alias_kind":"arxiv_version","alias_value":"2502.04170v1","created_at":"2026-07-05T10:10:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.04170","created_at":"2026-07-05T10:10:34Z"},{"alias_kind":"pith_short_12","alias_value":"Z64WN3RZGTZ2","created_at":"2026-07-05T10:10:34Z"},{"alias_kind":"pith_short_16","alias_value":"Z64WN3RZGTZ27L3Z","created_at":"2026-07-05T10:10:34Z"},{"alias_kind":"pith_short_8","alias_value":"Z64WN3RZ","created_at":"2026-07-05T10:10:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:Z64WN3RZGTZ27L3ZPA4BOHVISL","target":"record","payload":{"canonical_record":{"source":{"id":"2502.04170","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-06T15:58:30Z","cross_cats_sorted":[],"title_canon_sha256":"188f10f687eaaf4a8c173782518199848d99801d06d12b5ab1c05e6e8cc6ee98","abstract_canon_sha256":"1af9952a0427f8527c1a1818d73c16c138c3fd29825958c92b48679b2938f158"},"schema_version":"1.0"},"canonical_sha256":"cfb966ee3934f3afaf797838171ea892d8acdd9cb8492fcef84a78c0d29bc4c4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:10:34.902584Z","signature_b64":"SEwTll0Tm1YNbJezKXY1nQ1N/w+LcLYAbUGn12fPqQmHi2x+aN6YHdB7/aXVJwT1cjVSVOqRnwYOet9io4uCAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cfb966ee3934f3afaf797838171ea892d8acdd9cb8492fcef84a78c0d29bc4c4","last_reissued_at":"2026-07-05T10:10:34.902158Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:10:34.902158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.04170","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":"2026-07-05T10:10:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dpXvUXYLC3KEfD4ux2al92BZ8CaYP4xp3rwF5ZN7ymPurVEaS8eQpGAmg0Bf1+8szklYRQizqlKlYa00+okGAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T20:51:45.629700Z"},"content_sha256":"af40b9df438c13337d8b9fa99771393be854510fd57fa1ade58b2ba459b521b2","schema_version":"1.0","event_id":"sha256:af40b9df438c13337d8b9fa99771393be854510fd57fa1ade58b2ba459b521b2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:Z64WN3RZGTZ27L3ZPA4BOHVISL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Aviv Tamar, Kiril Solovey, Oren Salzman, Sapir Tubul","submitted_at":"2025-02-06T15:58:30Z","abstract_excerpt":"Motion planning is a central challenge in robotics, with learning-based approaches gaining significant attention in recent years. Our work focuses on a specific aspect of these approaches: using machine-learning techniques, particularly Support Vector Machines (SVM), to evaluate whether robot configurations are collision free, an operation termed ``collision detection''. Despite the growing popularity of these methods, there is a lack of theory supporting their efficiency and prediction accuracy. This is in stark contrast to the rich theoretical results of machine-learning methods in general a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.04170","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/2502.04170/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":"2026-07-05T10:10:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+2cHgxVNeqDHZMU+9w03fPrYdzjiZVN2rrm4hvhznfqfUzNfsi1moZWjALVyxmRjzIfBbzNU4dzF0RARtd6KAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T20:51:45.630269Z"},"content_sha256":"e5a1821a80d1d1dae3276c74653bdca825940b34ffc13095729b0815a7026719","schema_version":"1.0","event_id":"sha256:e5a1821a80d1d1dae3276c74653bdca825940b34ffc13095729b0815a7026719"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z64WN3RZGTZ27L3ZPA4BOHVISL/bundle.json","state_url":"https://pith.science/pith/Z64WN3RZGTZ27L3ZPA4BOHVISL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z64WN3RZGTZ27L3ZPA4BOHVISL/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":"2026-08-09T20:51:45Z","links":{"resolver":"https://pith.science/pith/Z64WN3RZGTZ27L3ZPA4BOHVISL","bundle":"https://pith.science/pith/Z64WN3RZGTZ27L3ZPA4BOHVISL/bundle.json","state":"https://pith.science/pith/Z64WN3RZGTZ27L3ZPA4BOHVISL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z64WN3RZGTZ27L3ZPA4BOHVISL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Z64WN3RZGTZ27L3ZPA4BOHVISL","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":"1af9952a0427f8527c1a1818d73c16c138c3fd29825958c92b48679b2938f158","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-06T15:58:30Z","title_canon_sha256":"188f10f687eaaf4a8c173782518199848d99801d06d12b5ab1c05e6e8cc6ee98"},"schema_version":"1.0","source":{"id":"2502.04170","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.04170","created_at":"2026-07-05T10:10:34Z"},{"alias_kind":"arxiv_version","alias_value":"2502.04170v1","created_at":"2026-07-05T10:10:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.04170","created_at":"2026-07-05T10:10:34Z"},{"alias_kind":"pith_short_12","alias_value":"Z64WN3RZGTZ2","created_at":"2026-07-05T10:10:34Z"},{"alias_kind":"pith_short_16","alias_value":"Z64WN3RZGTZ27L3Z","created_at":"2026-07-05T10:10:34Z"},{"alias_kind":"pith_short_8","alias_value":"Z64WN3RZ","created_at":"2026-07-05T10:10:34Z"}],"graph_snapshots":[{"event_id":"sha256:e5a1821a80d1d1dae3276c74653bdca825940b34ffc13095729b0815a7026719","target":"graph","created_at":"2026-07-05T10:10:34Z","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/2502.04170/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Motion planning is a central challenge in robotics, with learning-based approaches gaining significant attention in recent years. Our work focuses on a specific aspect of these approaches: using machine-learning techniques, particularly Support Vector Machines (SVM), to evaluate whether robot configurations are collision free, an operation termed ``collision detection''. Despite the growing popularity of these methods, there is a lack of theory supporting their efficiency and prediction accuracy. This is in stark contrast to the rich theoretical results of machine-learning methods in general a","authors_text":"Aviv Tamar, Kiril Solovey, Oren Salzman, Sapir Tubul","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-06T15:58:30Z","title":"From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.04170","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:af40b9df438c13337d8b9fa99771393be854510fd57fa1ade58b2ba459b521b2","target":"record","created_at":"2026-07-05T10:10:34Z","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":"1af9952a0427f8527c1a1818d73c16c138c3fd29825958c92b48679b2938f158","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-06T15:58:30Z","title_canon_sha256":"188f10f687eaaf4a8c173782518199848d99801d06d12b5ab1c05e6e8cc6ee98"},"schema_version":"1.0","source":{"id":"2502.04170","kind":"arxiv","version":1}},"canonical_sha256":"cfb966ee3934f3afaf797838171ea892d8acdd9cb8492fcef84a78c0d29bc4c4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cfb966ee3934f3afaf797838171ea892d8acdd9cb8492fcef84a78c0d29bc4c4","first_computed_at":"2026-07-05T10:10:34.902158Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:10:34.902158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SEwTll0Tm1YNbJezKXY1nQ1N/w+LcLYAbUGn12fPqQmHi2x+aN6YHdB7/aXVJwT1cjVSVOqRnwYOet9io4uCAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:10:34.902584Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.04170","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:af40b9df438c13337d8b9fa99771393be854510fd57fa1ade58b2ba459b521b2","sha256:e5a1821a80d1d1dae3276c74653bdca825940b34ffc13095729b0815a7026719"],"state_sha256":"19ca0e099e56d9e6a422d513dcd0d979183332ba4b6a6c8d0651157d5c6bce19"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8BSg8+6WBta3XIF5XSKrem5AfPMLe9hg/xDq3J/mtJ5zSQ1nCHJoxVFbi86ceFo1UhV1fEBjDo+QS7Os1wX8Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T20:51:45.635796Z","bundle_sha256":"6925a02d5010a72ba0502d34f01137265e8e6f99f2e80fe7e399d941fc0e12c2"}}