{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:C6PGGPM5AXKS3Q7ALWJCMF5IVI","short_pith_number":"pith:C6PGGPM5","canonical_record":{"source":{"id":"2304.03140","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-06T15:22:34Z","cross_cats_sorted":[],"title_canon_sha256":"cc87a15b0d2946aa19c135e1a08e871866318fea3e6b173ae082221aeef1dfe9","abstract_canon_sha256":"a07030358bf09f41a4959ea41fc40b5b62c44c626b747b616b909dc61de6e731"},"schema_version":"1.0"},"canonical_sha256":"179e633d9d05d52dc3e05d922617a8aa1712f1088cb708c8890fd2e6a255cde4","source":{"kind":"arxiv","id":"2304.03140","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.03140","created_at":"2026-07-05T05:58:45Z"},{"alias_kind":"arxiv_version","alias_value":"2304.03140v1","created_at":"2026-07-05T05:58:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.03140","created_at":"2026-07-05T05:58:45Z"},{"alias_kind":"pith_short_12","alias_value":"C6PGGPM5AXKS","created_at":"2026-07-05T05:58:45Z"},{"alias_kind":"pith_short_16","alias_value":"C6PGGPM5AXKS3Q7A","created_at":"2026-07-05T05:58:45Z"},{"alias_kind":"pith_short_8","alias_value":"C6PGGPM5","created_at":"2026-07-05T05:58:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:C6PGGPM5AXKS3Q7ALWJCMF5IVI","target":"record","payload":{"canonical_record":{"source":{"id":"2304.03140","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-06T15:22:34Z","cross_cats_sorted":[],"title_canon_sha256":"cc87a15b0d2946aa19c135e1a08e871866318fea3e6b173ae082221aeef1dfe9","abstract_canon_sha256":"a07030358bf09f41a4959ea41fc40b5b62c44c626b747b616b909dc61de6e731"},"schema_version":"1.0"},"canonical_sha256":"179e633d9d05d52dc3e05d922617a8aa1712f1088cb708c8890fd2e6a255cde4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:58:45.589129Z","signature_b64":"H5LtZ7vqfsiq/2b9Q1/Fxhaoy0/06o6RVD1YiaJE07UjHniMR218lJtqP3WnPUOcfQ5TvYiCUIn0aWjc8MHtAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"179e633d9d05d52dc3e05d922617a8aa1712f1088cb708c8890fd2e6a255cde4","last_reissued_at":"2026-07-05T05:58:45.588655Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:58:45.588655Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.03140","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":"2026-07-05T05:58:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vle567tqE+mL4/LEEwLCXP0g7slRZTX38Jud2eZ896bn1IU7OwDdd31n59aEzx8PF8pdfbyNsyU2ntZbBNC7AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T15:14:01.822931Z"},"content_sha256":"5f0637a668dda194cef6080956bccd2babba8d06752bba9f1bd631c9c2dbd42d","schema_version":"1.0","event_id":"sha256:5f0637a668dda194cef6080956bccd2babba8d06752bba9f1bd631c9c2dbd42d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:C6PGGPM5AXKS3Q7ALWJCMF5IVI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changsheng Lu, Hao Zhu, Piotr Koniusz","submitted_at":"2023-04-06T15:22:34Z","abstract_excerpt":"Unlike current deep keypoint detectors that are trained to recognize limited number of body parts, few-shot keypoint detection (FSKD) attempts to localize any keypoints, including novel or base keypoints, depending on the reference samples. FSKD requires the semantically meaningful relations for keypoint similarity learning to overcome the ubiquitous noise and ambiguous local patterns. One rescue comes with vision transformer (ViT) as it captures long-range relations well. However, ViT may model irrelevant features outside of the region of interest due to the global attention matrix, thus degr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.03140","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/2304.03140/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":"2026-07-05T05:58:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B73eJzv4SnECmP2r/dLdqG0aC1XxMoagpiPxPMUk2oqCo+xHF9bWo/lmc0mrr2FrgdQT09FhX99+jtTU1S4DDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T15:14:01.823428Z"},"content_sha256":"9286eebc15f24d82338d8806edf681308db47db9b8b8d0153ec1751e7bab160f","schema_version":"1.0","event_id":"sha256:9286eebc15f24d82338d8806edf681308db47db9b8b8d0153ec1751e7bab160f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C6PGGPM5AXKS3Q7ALWJCMF5IVI/bundle.json","state_url":"https://pith.science/pith/C6PGGPM5AXKS3Q7ALWJCMF5IVI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C6PGGPM5AXKS3Q7ALWJCMF5IVI/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":"2026-08-12T15:14:01Z","links":{"resolver":"https://pith.science/pith/C6PGGPM5AXKS3Q7ALWJCMF5IVI","bundle":"https://pith.science/pith/C6PGGPM5AXKS3Q7ALWJCMF5IVI/bundle.json","state":"https://pith.science/pith/C6PGGPM5AXKS3Q7ALWJCMF5IVI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C6PGGPM5AXKS3Q7ALWJCMF5IVI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:C6PGGPM5AXKS3Q7ALWJCMF5IVI","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":"a07030358bf09f41a4959ea41fc40b5b62c44c626b747b616b909dc61de6e731","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-06T15:22:34Z","title_canon_sha256":"cc87a15b0d2946aa19c135e1a08e871866318fea3e6b173ae082221aeef1dfe9"},"schema_version":"1.0","source":{"id":"2304.03140","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.03140","created_at":"2026-07-05T05:58:45Z"},{"alias_kind":"arxiv_version","alias_value":"2304.03140v1","created_at":"2026-07-05T05:58:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.03140","created_at":"2026-07-05T05:58:45Z"},{"alias_kind":"pith_short_12","alias_value":"C6PGGPM5AXKS","created_at":"2026-07-05T05:58:45Z"},{"alias_kind":"pith_short_16","alias_value":"C6PGGPM5AXKS3Q7A","created_at":"2026-07-05T05:58:45Z"},{"alias_kind":"pith_short_8","alias_value":"C6PGGPM5","created_at":"2026-07-05T05:58:45Z"}],"graph_snapshots":[{"event_id":"sha256:9286eebc15f24d82338d8806edf681308db47db9b8b8d0153ec1751e7bab160f","target":"graph","created_at":"2026-07-05T05:58:45Z","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/2304.03140/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unlike current deep keypoint detectors that are trained to recognize limited number of body parts, few-shot keypoint detection (FSKD) attempts to localize any keypoints, including novel or base keypoints, depending on the reference samples. FSKD requires the semantically meaningful relations for keypoint similarity learning to overcome the ubiquitous noise and ambiguous local patterns. One rescue comes with vision transformer (ViT) as it captures long-range relations well. However, ViT may model irrelevant features outside of the region of interest due to the global attention matrix, thus degr","authors_text":"Changsheng Lu, Hao Zhu, Piotr Koniusz","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-06T15:22:34Z","title":"From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.03140","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":"sha256:5f0637a668dda194cef6080956bccd2babba8d06752bba9f1bd631c9c2dbd42d","target":"record","created_at":"2026-07-05T05:58:45Z","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":"a07030358bf09f41a4959ea41fc40b5b62c44c626b747b616b909dc61de6e731","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-06T15:22:34Z","title_canon_sha256":"cc87a15b0d2946aa19c135e1a08e871866318fea3e6b173ae082221aeef1dfe9"},"schema_version":"1.0","source":{"id":"2304.03140","kind":"arxiv","version":1}},"canonical_sha256":"179e633d9d05d52dc3e05d922617a8aa1712f1088cb708c8890fd2e6a255cde4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"179e633d9d05d52dc3e05d922617a8aa1712f1088cb708c8890fd2e6a255cde4","first_computed_at":"2026-07-05T05:58:45.588655Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:58:45.588655Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H5LtZ7vqfsiq/2b9Q1/Fxhaoy0/06o6RVD1YiaJE07UjHniMR218lJtqP3WnPUOcfQ5TvYiCUIn0aWjc8MHtAg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:58:45.589129Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.03140","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f0637a668dda194cef6080956bccd2babba8d06752bba9f1bd631c9c2dbd42d","sha256:9286eebc15f24d82338d8806edf681308db47db9b8b8d0153ec1751e7bab160f"],"state_sha256":"0cd3ba8f1913b33a7d4ee5cce184550dbfaef33fe8e77533a5e79eb4dbbf8c3d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KSnV0vV2HgKWTIRE4gy17XPb/Gocn/SGO0sUC4yPihrXsnYYH233HHTM/XjGUV8zQD5jUrdkwDKh30KFRUbTBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T15:14:01.828305Z","bundle_sha256":"e1b15a1df91e62d338d0d42ba69405126f4e0a50daa786d95a895225b49b3488"}}