{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:NBSVUVNDHB7U3U3AP24PGHDVV3","short_pith_number":"pith:NBSVUVND","canonical_record":{"source":{"id":"2602.20630","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-02-24T07:24:25Z","cross_cats_sorted":[],"title_canon_sha256":"47753f9c8cf8e2253e8d0b721f326f4200fe5a955d7ce005efc5650df0114f09","abstract_canon_sha256":"407bdb1c800d0e97d6a230f2327ad0fc9004069686b9b233874f8bd8d8d807a8"},"schema_version":"1.0"},"canonical_sha256":"68655a55a3387f4dd3607eb8f31c75aedb77d9896aef1a1d8ad5ac1151d3a190","source":{"kind":"arxiv","id":"2602.20630","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.20630","created_at":"2026-05-20T00:00:35Z"},{"alias_kind":"arxiv_version","alias_value":"2602.20630v4","created_at":"2026-05-20T00:00:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.20630","created_at":"2026-05-20T00:00:35Z"},{"alias_kind":"pith_short_12","alias_value":"NBSVUVNDHB7U","created_at":"2026-05-20T00:00:35Z"},{"alias_kind":"pith_short_16","alias_value":"NBSVUVNDHB7U3U3A","created_at":"2026-05-20T00:00:35Z"},{"alias_kind":"pith_short_8","alias_value":"NBSVUVND","created_at":"2026-05-20T00:00:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:NBSVUVNDHB7U3U3AP24PGHDVV3","target":"record","payload":{"canonical_record":{"source":{"id":"2602.20630","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-02-24T07:24:25Z","cross_cats_sorted":[],"title_canon_sha256":"47753f9c8cf8e2253e8d0b721f326f4200fe5a955d7ce005efc5650df0114f09","abstract_canon_sha256":"407bdb1c800d0e97d6a230f2327ad0fc9004069686b9b233874f8bd8d8d807a8"},"schema_version":"1.0"},"canonical_sha256":"68655a55a3387f4dd3607eb8f31c75aedb77d9896aef1a1d8ad5ac1151d3a190","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:00:35.112824Z","signature_b64":"BnnoID4pgY2rcuxHfbqDXHlHKlgKX4ukzV46iWzFP2hBTQIOGYKaji87LBhaPRS5Pi93iLAu1xzKuzK3Rk5PAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"68655a55a3387f4dd3607eb8f31c75aedb77d9896aef1a1d8ad5ac1151d3a190","last_reissued_at":"2026-05-20T00:00:35.112255Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:00:35.112255Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.20630","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:00:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gSX1iwaI8owyaIZwe/+mmNdw01VTTwIsvlZjcTpobIxtc9n4JuYCFTFMVOJ0IsjWDPni/pTRenskI+zTpvoJCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T23:29:59.342581Z"},"content_sha256":"5766839b645896f74c316ed31c1b50bca43a18e8df7d8056381375eeb1521392","schema_version":"1.0","event_id":"sha256:5766839b645896f74c316ed31c1b50bca43a18e8df7d8056381375eeb1521392"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:NBSVUVNDHB7U3U3AP24PGHDVV3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"From Pairs to Sequences: Track-Aware Policy Gradients for Keypoint Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bing Wang, Fangzhen Li, Guang Chen, Hangjun Ye, Hao Li, kuang Gao, Liwen Yang, Xudi Ge, Yepeng Liu, Yongchao Xu, Yuliang Gu","submitted_at":"2026-02-24T07:24:25Z","abstract_excerpt":"Keypoint-based matching is a fundamental component of modern 3D vision systems, such as Structure-from-Motion (SfM) and SLAM. Most existing learning-based methods are trained on image pairs, a paradigm that fails to explicitly optimize for the long-term trackability of keypoints across sequences under challenging viewpoint and illumination changes. In this paper, we reframe keypoint detection as a sequential decision-making problem. We introduce TraqPoint, a novel, end-to-end Reinforcement Learning (RL) framework designed to optimize the \\textbf{Tra}ck-\\textbf{q}uality (Traq) of keypoints dire"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.20630","kind":"arxiv","version":4},"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/2602.20630/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":"2026-05-20T00:00:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Yir8q5OOcPJ6mEz7NtovHxQS6watyzSKdkRnDwwCVvNv6LgP/W2u3g6bcoQtdCS2W2gl0DuJhhAaE0AYU9joAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T23:29:59.342987Z"},"content_sha256":"2fda134cd623b741a3ef8b69904c14e54f710736bdf650b8a729672582152348","schema_version":"1.0","event_id":"sha256:2fda134cd623b741a3ef8b69904c14e54f710736bdf650b8a729672582152348"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NBSVUVNDHB7U3U3AP24PGHDVV3/bundle.json","state_url":"https://pith.science/pith/NBSVUVNDHB7U3U3AP24PGHDVV3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NBSVUVNDHB7U3U3AP24PGHDVV3/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":"2026-05-26T23:29:59Z","links":{"resolver":"https://pith.science/pith/NBSVUVNDHB7U3U3AP24PGHDVV3","bundle":"https://pith.science/pith/NBSVUVNDHB7U3U3AP24PGHDVV3/bundle.json","state":"https://pith.science/pith/NBSVUVNDHB7U3U3AP24PGHDVV3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NBSVUVNDHB7U3U3AP24PGHDVV3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NBSVUVNDHB7U3U3AP24PGHDVV3","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":"407bdb1c800d0e97d6a230f2327ad0fc9004069686b9b233874f8bd8d8d807a8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-02-24T07:24:25Z","title_canon_sha256":"47753f9c8cf8e2253e8d0b721f326f4200fe5a955d7ce005efc5650df0114f09"},"schema_version":"1.0","source":{"id":"2602.20630","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.20630","created_at":"2026-05-20T00:00:35Z"},{"alias_kind":"arxiv_version","alias_value":"2602.20630v4","created_at":"2026-05-20T00:00:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.20630","created_at":"2026-05-20T00:00:35Z"},{"alias_kind":"pith_short_12","alias_value":"NBSVUVNDHB7U","created_at":"2026-05-20T00:00:35Z"},{"alias_kind":"pith_short_16","alias_value":"NBSVUVNDHB7U3U3A","created_at":"2026-05-20T00:00:35Z"},{"alias_kind":"pith_short_8","alias_value":"NBSVUVND","created_at":"2026-05-20T00:00:35Z"}],"graph_snapshots":[{"event_id":"sha256:2fda134cd623b741a3ef8b69904c14e54f710736bdf650b8a729672582152348","target":"graph","created_at":"2026-05-20T00:00:35Z","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/2602.20630/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Keypoint-based matching is a fundamental component of modern 3D vision systems, such as Structure-from-Motion (SfM) and SLAM. Most existing learning-based methods are trained on image pairs, a paradigm that fails to explicitly optimize for the long-term trackability of keypoints across sequences under challenging viewpoint and illumination changes. In this paper, we reframe keypoint detection as a sequential decision-making problem. We introduce TraqPoint, a novel, end-to-end Reinforcement Learning (RL) framework designed to optimize the \\textbf{Tra}ck-\\textbf{q}uality (Traq) of keypoints dire","authors_text":"Bing Wang, Fangzhen Li, Guang Chen, Hangjun Ye, Hao Li, kuang Gao, Liwen Yang, Xudi Ge, Yepeng Liu, Yongchao Xu, Yuliang Gu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-02-24T07:24:25Z","title":"From Pairs to Sequences: Track-Aware Policy Gradients for Keypoint Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.20630","kind":"arxiv","version":4},"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":"sha256:5766839b645896f74c316ed31c1b50bca43a18e8df7d8056381375eeb1521392","target":"record","created_at":"2026-05-20T00:00:35Z","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":"407bdb1c800d0e97d6a230f2327ad0fc9004069686b9b233874f8bd8d8d807a8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-02-24T07:24:25Z","title_canon_sha256":"47753f9c8cf8e2253e8d0b721f326f4200fe5a955d7ce005efc5650df0114f09"},"schema_version":"1.0","source":{"id":"2602.20630","kind":"arxiv","version":4}},"canonical_sha256":"68655a55a3387f4dd3607eb8f31c75aedb77d9896aef1a1d8ad5ac1151d3a190","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"68655a55a3387f4dd3607eb8f31c75aedb77d9896aef1a1d8ad5ac1151d3a190","first_computed_at":"2026-05-20T00:00:35.112255Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:00:35.112255Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BnnoID4pgY2rcuxHfbqDXHlHKlgKX4ukzV46iWzFP2hBTQIOGYKaji87LBhaPRS5Pi93iLAu1xzKuzK3Rk5PAg==","signature_status":"signed_v1","signed_at":"2026-05-20T00:00:35.112824Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.20630","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5766839b645896f74c316ed31c1b50bca43a18e8df7d8056381375eeb1521392","sha256:2fda134cd623b741a3ef8b69904c14e54f710736bdf650b8a729672582152348"],"state_sha256":"2f91c2ca5cbac563048d6a8534a0ecc1a2ac19f2f5caa6692178936e6f543782"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"usHVfi+a0eNRwZhzmPof+suKxa0aoSRTAPkGwi+YfqWPVQOnCYTzrXOXK5Q6C587OAhHV1ZEysp8U1TGevOtBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T23:29:59.345658Z","bundle_sha256":"904868101369b8e97a256828cfe994464a6afb0dc58379f635798762b2c0ad4e"}}