{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:HJHHOEX7FUVLGH2OKTJTPUWPH2","short_pith_number":"pith:HJHHOEX7","canonical_record":{"source":{"id":"1411.4568","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-11-17T17:44:21Z","cross_cats_sorted":[],"title_canon_sha256":"cc90c0c1353c99794006d8fa4ed8e6ed4acefd4618007debfe595fca36fcafc7","abstract_canon_sha256":"c3d1a9894737e29d1e9c8d02ef08ce1eabb0bde07b46a20e042035799b532868"},"schema_version":"1.0"},"canonical_sha256":"3a4e7712ff2d2ab31f4e54d337d2cf3e91c12a247d99631072ea7a6387cc0e7f","source":{"kind":"arxiv","id":"1411.4568","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1411.4568","created_at":"2026-05-18T01:27:05Z"},{"alias_kind":"arxiv_version","alias_value":"1411.4568v3","created_at":"2026-05-18T01:27:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1411.4568","created_at":"2026-05-18T01:27:05Z"},{"alias_kind":"pith_short_12","alias_value":"HJHHOEX7FUVL","created_at":"2026-05-18T12:28:30Z"},{"alias_kind":"pith_short_16","alias_value":"HJHHOEX7FUVLGH2O","created_at":"2026-05-18T12:28:30Z"},{"alias_kind":"pith_short_8","alias_value":"HJHHOEX7","created_at":"2026-05-18T12:28:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:HJHHOEX7FUVLGH2OKTJTPUWPH2","target":"record","payload":{"canonical_record":{"source":{"id":"1411.4568","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-11-17T17:44:21Z","cross_cats_sorted":[],"title_canon_sha256":"cc90c0c1353c99794006d8fa4ed8e6ed4acefd4618007debfe595fca36fcafc7","abstract_canon_sha256":"c3d1a9894737e29d1e9c8d02ef08ce1eabb0bde07b46a20e042035799b532868"},"schema_version":"1.0"},"canonical_sha256":"3a4e7712ff2d2ab31f4e54d337d2cf3e91c12a247d99631072ea7a6387cc0e7f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:27:05.500058Z","signature_b64":"WTfBeM8BIV4Ek50bEwLE+v+oDs4++rSSboXhTzV1uiFja/QXfs63aVz3UHGx5BOnc2Aj+UUUKSg3np0Px4NIDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3a4e7712ff2d2ab31f4e54d337d2cf3e91c12a247d99631072ea7a6387cc0e7f","last_reissued_at":"2026-05-18T01:27:05.499304Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:27:05.499304Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1411.4568","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:27:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7ziPLNrVtWik2TJd2TtVUNNylXXI6ZzTzaZjFZCMm9yx5L/UcBObq/T/LedxBFZSZUW9q83A4DAYRG9aagOPCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T17:21:42.349288Z"},"content_sha256":"64216bdf2b6ee77e9bfb9782e7a7833cf643de13de4c7f84f1c56f6c44f46050","schema_version":"1.0","event_id":"sha256:64216bdf2b6ee77e9bfb9782e7a7833cf643de13de4c7f84f1c56f6c44f46050"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:HJHHOEX7FUVLGH2OKTJTPUWPH2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TILDE: A Temporally Invariant Learned DEtector","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Kwang Moo Yi, Pascal Fua, Vincent Lepetit, Yannick Verdie","submitted_at":"2014-11-17T17:44:21Z","abstract_excerpt":"We introduce a learning-based approach to detect repeatable keypoints under drastic imaging changes of weather and lighting conditions to which state-of-the-art keypoint detectors are surprisingly sensitive. We first identify good keypoint candidates in multiple training images taken from the same viewpoint. We then train a regressor to predict a score map whose maxima are those points so that they can be found by simple non-maximum suppression. As there are no standard datasets to test the influence of these kinds of changes, we created our own, which we will make publicly available. We will "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1411.4568","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T01:27:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/1Sp8DWlJ5my0X7IABUYxkqfG0f/tzvPXCBcSk6TxJfFtwvInuyu/EbCj3u/vftPYaOIQY4kG6Iqi3USshfmBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T17:21:42.349688Z"},"content_sha256":"e047697b4641b2e5d1ad8cfb3acb045ca3c898ba73e49bfa220c56c7401c0614","schema_version":"1.0","event_id":"sha256:e047697b4641b2e5d1ad8cfb3acb045ca3c898ba73e49bfa220c56c7401c0614"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HJHHOEX7FUVLGH2OKTJTPUWPH2/bundle.json","state_url":"https://pith.science/pith/HJHHOEX7FUVLGH2OKTJTPUWPH2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HJHHOEX7FUVLGH2OKTJTPUWPH2/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":"2026-05-25T17:21:42Z","links":{"resolver":"https://pith.science/pith/HJHHOEX7FUVLGH2OKTJTPUWPH2","bundle":"https://pith.science/pith/HJHHOEX7FUVLGH2OKTJTPUWPH2/bundle.json","state":"https://pith.science/pith/HJHHOEX7FUVLGH2OKTJTPUWPH2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HJHHOEX7FUVLGH2OKTJTPUWPH2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:HJHHOEX7FUVLGH2OKTJTPUWPH2","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":"c3d1a9894737e29d1e9c8d02ef08ce1eabb0bde07b46a20e042035799b532868","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-11-17T17:44:21Z","title_canon_sha256":"cc90c0c1353c99794006d8fa4ed8e6ed4acefd4618007debfe595fca36fcafc7"},"schema_version":"1.0","source":{"id":"1411.4568","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1411.4568","created_at":"2026-05-18T01:27:05Z"},{"alias_kind":"arxiv_version","alias_value":"1411.4568v3","created_at":"2026-05-18T01:27:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1411.4568","created_at":"2026-05-18T01:27:05Z"},{"alias_kind":"pith_short_12","alias_value":"HJHHOEX7FUVL","created_at":"2026-05-18T12:28:30Z"},{"alias_kind":"pith_short_16","alias_value":"HJHHOEX7FUVLGH2O","created_at":"2026-05-18T12:28:30Z"},{"alias_kind":"pith_short_8","alias_value":"HJHHOEX7","created_at":"2026-05-18T12:28:30Z"}],"graph_snapshots":[{"event_id":"sha256:e047697b4641b2e5d1ad8cfb3acb045ca3c898ba73e49bfa220c56c7401c0614","target":"graph","created_at":"2026-05-18T01:27:05Z","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"},"paper":{"abstract_excerpt":"We introduce a learning-based approach to detect repeatable keypoints under drastic imaging changes of weather and lighting conditions to which state-of-the-art keypoint detectors are surprisingly sensitive. We first identify good keypoint candidates in multiple training images taken from the same viewpoint. We then train a regressor to predict a score map whose maxima are those points so that they can be found by simple non-maximum suppression. As there are no standard datasets to test the influence of these kinds of changes, we created our own, which we will make publicly available. We will ","authors_text":"Kwang Moo Yi, Pascal Fua, Vincent Lepetit, Yannick Verdie","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-11-17T17:44:21Z","title":"TILDE: A Temporally Invariant Learned DEtector"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1411.4568","kind":"arxiv","version":3},"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":"sha256:64216bdf2b6ee77e9bfb9782e7a7833cf643de13de4c7f84f1c56f6c44f46050","target":"record","created_at":"2026-05-18T01:27:05Z","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":"c3d1a9894737e29d1e9c8d02ef08ce1eabb0bde07b46a20e042035799b532868","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-11-17T17:44:21Z","title_canon_sha256":"cc90c0c1353c99794006d8fa4ed8e6ed4acefd4618007debfe595fca36fcafc7"},"schema_version":"1.0","source":{"id":"1411.4568","kind":"arxiv","version":3}},"canonical_sha256":"3a4e7712ff2d2ab31f4e54d337d2cf3e91c12a247d99631072ea7a6387cc0e7f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3a4e7712ff2d2ab31f4e54d337d2cf3e91c12a247d99631072ea7a6387cc0e7f","first_computed_at":"2026-05-18T01:27:05.499304Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:27:05.499304Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WTfBeM8BIV4Ek50bEwLE+v+oDs4++rSSboXhTzV1uiFja/QXfs63aVz3UHGx5BOnc2Aj+UUUKSg3np0Px4NIDg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:27:05.500058Z","signed_message":"canonical_sha256_bytes"},"source_id":"1411.4568","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:64216bdf2b6ee77e9bfb9782e7a7833cf643de13de4c7f84f1c56f6c44f46050","sha256:e047697b4641b2e5d1ad8cfb3acb045ca3c898ba73e49bfa220c56c7401c0614"],"state_sha256":"b3912612b227edd99772b86e6d51a5307b5db7114d694c715a2a01ea08db3427"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eB+MLekHbCXic77qyTvPWwaVO4y2POnLy7QTY7qbXvbaJwqaOb7TkYBkqp9zyLED0hGRJhO8cqoQlIgWOXZzDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T17:21:42.352163Z","bundle_sha256":"3513db216e9bfd2c4d6d99b7aef472c5e89ec9406ada0cea89339c5c72abac85"}}