{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:NRNKFGOVQLGUI2YDA62OMUNXF2","short_pith_number":"pith:NRNKFGOV","canonical_record":{"source":{"id":"2411.16995","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T23:58:38Z","cross_cats_sorted":[],"title_canon_sha256":"f30e5a6ebb44df2cf3ef7f1589c626d5b96744d17a2c6a8c0bc6340c05c52f0c","abstract_canon_sha256":"5b936dbda3ce26e1164d248712ff956ae9ecbbeb8ba9468fb3c20c5e15b1508c"},"schema_version":"1.0"},"canonical_sha256":"6c5aa299d582cd446b0307b4e651b72e8fda3927f8b4875c04b844fef4278ad7","source":{"kind":"arxiv","id":"2411.16995","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.16995","created_at":"2026-07-05T09:40:25Z"},{"alias_kind":"arxiv_version","alias_value":"2411.16995v1","created_at":"2026-07-05T09:40:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.16995","created_at":"2026-07-05T09:40:25Z"},{"alias_kind":"pith_short_12","alias_value":"NRNKFGOVQLGU","created_at":"2026-07-05T09:40:25Z"},{"alias_kind":"pith_short_16","alias_value":"NRNKFGOVQLGUI2YD","created_at":"2026-07-05T09:40:25Z"},{"alias_kind":"pith_short_8","alias_value":"NRNKFGOV","created_at":"2026-07-05T09:40:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:NRNKFGOVQLGUI2YDA62OMUNXF2","target":"record","payload":{"canonical_record":{"source":{"id":"2411.16995","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T23:58:38Z","cross_cats_sorted":[],"title_canon_sha256":"f30e5a6ebb44df2cf3ef7f1589c626d5b96744d17a2c6a8c0bc6340c05c52f0c","abstract_canon_sha256":"5b936dbda3ce26e1164d248712ff956ae9ecbbeb8ba9468fb3c20c5e15b1508c"},"schema_version":"1.0"},"canonical_sha256":"6c5aa299d582cd446b0307b4e651b72e8fda3927f8b4875c04b844fef4278ad7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:40:25.774462Z","signature_b64":"OpXAOUBrge2SvQqYk7HwK3ZUz3vqaPPj0cqxVL3eBPsQ0tS5yakPql2dpLwZrQ7+j0ZQA3O2Q1FVq/1drEaFDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6c5aa299d582cd446b0307b4e651b72e8fda3927f8b4875c04b844fef4278ad7","last_reissued_at":"2026-07-05T09:40:25.773871Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:40:25.773871Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.16995","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":"2026-07-05T09:40:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wcZMb5XA4Y4QD1UkgC11/ITiX+MtHt8BqqVN3FcIpkdKVC/OA4KslXvHPaqt3K322hKGsGIEl32qX7y3BbBMAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T01:28:25.912530Z"},"content_sha256":"2ad8de8cacb7a6684b5da3ecc33135edde918ed191b3ebe6f457a14138cbba56","schema_version":"1.0","event_id":"sha256:2ad8de8cacb7a6684b5da3ecc33135edde918ed191b3ebe6f457a14138cbba56"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:NRNKFGOVQLGUI2YDA62OMUNXF2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Curvature Informed Furthest Point Sampling","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aditya Sai Ellendula, Aryan Koganti, Ashwin Vinod, Balakrishna Reddy, Shubham Bhardwaj, Soumojit Bhattacharya","submitted_at":"2024-11-25T23:58:38Z","abstract_excerpt":"Point cloud representation has gained traction due to its efficient memory usage and simplicity in acquisition, manipulation, and storage. However, as point cloud sizes increase, effective down-sampling becomes essential to address the computational requirements of downstream tasks. Classical approaches, such as furthest point sampling (FPS), perform well on benchmarks but rely on heuristics and overlook geometric features, like curvature, during down-sampling.\n  In this paper, We introduce a reinforcement learning-based sampling algorithm that enhances FPS by integrating curvature information"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.16995","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/2411.16995/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":"2026-07-05T09:40:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mCAFZYriu10psmrrG/INnKMP2J+qdAFdUOgQEMTctwGu/e09goqQPlX9uDgpKsGhXCgew4MDCrI3VPIgApyiAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T01:28:25.913500Z"},"content_sha256":"c33d8ff710ab9046f5261d506543b2882b2cca87b4db7ec54f887fd0ec9fad6c","schema_version":"1.0","event_id":"sha256:c33d8ff710ab9046f5261d506543b2882b2cca87b4db7ec54f887fd0ec9fad6c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NRNKFGOVQLGUI2YDA62OMUNXF2/bundle.json","state_url":"https://pith.science/pith/NRNKFGOVQLGUI2YDA62OMUNXF2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NRNKFGOVQLGUI2YDA62OMUNXF2/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":"2026-08-13T01:28:25Z","links":{"resolver":"https://pith.science/pith/NRNKFGOVQLGUI2YDA62OMUNXF2","bundle":"https://pith.science/pith/NRNKFGOVQLGUI2YDA62OMUNXF2/bundle.json","state":"https://pith.science/pith/NRNKFGOVQLGUI2YDA62OMUNXF2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NRNKFGOVQLGUI2YDA62OMUNXF2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NRNKFGOVQLGUI2YDA62OMUNXF2","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":"5b936dbda3ce26e1164d248712ff956ae9ecbbeb8ba9468fb3c20c5e15b1508c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T23:58:38Z","title_canon_sha256":"f30e5a6ebb44df2cf3ef7f1589c626d5b96744d17a2c6a8c0bc6340c05c52f0c"},"schema_version":"1.0","source":{"id":"2411.16995","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.16995","created_at":"2026-07-05T09:40:25Z"},{"alias_kind":"arxiv_version","alias_value":"2411.16995v1","created_at":"2026-07-05T09:40:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.16995","created_at":"2026-07-05T09:40:25Z"},{"alias_kind":"pith_short_12","alias_value":"NRNKFGOVQLGU","created_at":"2026-07-05T09:40:25Z"},{"alias_kind":"pith_short_16","alias_value":"NRNKFGOVQLGUI2YD","created_at":"2026-07-05T09:40:25Z"},{"alias_kind":"pith_short_8","alias_value":"NRNKFGOV","created_at":"2026-07-05T09:40:25Z"}],"graph_snapshots":[{"event_id":"sha256:c33d8ff710ab9046f5261d506543b2882b2cca87b4db7ec54f887fd0ec9fad6c","target":"graph","created_at":"2026-07-05T09:40:25Z","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/2411.16995/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Point cloud representation has gained traction due to its efficient memory usage and simplicity in acquisition, manipulation, and storage. However, as point cloud sizes increase, effective down-sampling becomes essential to address the computational requirements of downstream tasks. Classical approaches, such as furthest point sampling (FPS), perform well on benchmarks but rely on heuristics and overlook geometric features, like curvature, during down-sampling.\n  In this paper, We introduce a reinforcement learning-based sampling algorithm that enhances FPS by integrating curvature information","authors_text":"Aditya Sai Ellendula, Aryan Koganti, Ashwin Vinod, Balakrishna Reddy, Shubham Bhardwaj, Soumojit Bhattacharya","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T23:58:38Z","title":"Curvature Informed Furthest Point Sampling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.16995","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":"sha256:2ad8de8cacb7a6684b5da3ecc33135edde918ed191b3ebe6f457a14138cbba56","target":"record","created_at":"2026-07-05T09:40:25Z","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":"5b936dbda3ce26e1164d248712ff956ae9ecbbeb8ba9468fb3c20c5e15b1508c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T23:58:38Z","title_canon_sha256":"f30e5a6ebb44df2cf3ef7f1589c626d5b96744d17a2c6a8c0bc6340c05c52f0c"},"schema_version":"1.0","source":{"id":"2411.16995","kind":"arxiv","version":1}},"canonical_sha256":"6c5aa299d582cd446b0307b4e651b72e8fda3927f8b4875c04b844fef4278ad7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6c5aa299d582cd446b0307b4e651b72e8fda3927f8b4875c04b844fef4278ad7","first_computed_at":"2026-07-05T09:40:25.773871Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:40:25.773871Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OpXAOUBrge2SvQqYk7HwK3ZUz3vqaPPj0cqxVL3eBPsQ0tS5yakPql2dpLwZrQ7+j0ZQA3O2Q1FVq/1drEaFDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:40:25.774462Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.16995","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2ad8de8cacb7a6684b5da3ecc33135edde918ed191b3ebe6f457a14138cbba56","sha256:c33d8ff710ab9046f5261d506543b2882b2cca87b4db7ec54f887fd0ec9fad6c"],"state_sha256":"36864080899fdeb75a57dc5bca9bc094177c788bde2077d3ee3e1d9ecb75a91a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SW+tccrhk4wB/uH76TGUtLaaX/zVU4mFeQz/j89t2sB5WWF1aCkMYQsiOQtDbPwWTH5K7X/3ZVwovklhVum/Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T01:28:25.924257Z","bundle_sha256":"4cdd45e59872f3a5aab2355626e044d833869cfac7d05e551aef98df7926c8af"}}