{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:MRAHBKPXIY55PD7WZA43YR52KY","short_pith_number":"pith:MRAHBKPX","canonical_record":{"source":{"id":"2412.15909","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-20T13:59:27Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"344e52feffd147a7415a33d83481e9f3e91aacc5c9a76521b839f71a540dcbbd","abstract_canon_sha256":"faf92c7a6d5bcf52dc08e2eb65f5d94119df18b81359590c474286a77ac6b49d"},"schema_version":"1.0"},"canonical_sha256":"644070a9f7463bd78ff6c839bc47ba5603d5044b109b6083868f341e749a861e","source":{"kind":"arxiv","id":"2412.15909","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.15909","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"arxiv_version","alias_value":"2412.15909v1","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15909","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"pith_short_12","alias_value":"MRAHBKPXIY55","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"pith_short_16","alias_value":"MRAHBKPXIY55PD7W","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"pith_short_8","alias_value":"MRAHBKPX","created_at":"2026-07-05T09:52:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:MRAHBKPXIY55PD7WZA43YR52KY","target":"record","payload":{"canonical_record":{"source":{"id":"2412.15909","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-20T13:59:27Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"344e52feffd147a7415a33d83481e9f3e91aacc5c9a76521b839f71a540dcbbd","abstract_canon_sha256":"faf92c7a6d5bcf52dc08e2eb65f5d94119df18b81359590c474286a77ac6b49d"},"schema_version":"1.0"},"canonical_sha256":"644070a9f7463bd78ff6c839bc47ba5603d5044b109b6083868f341e749a861e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:52:31.935048Z","signature_b64":"w3Y5sN6MkQqU4ZzDzGYfwJ/DGen2uG3pISLDymozAyO9DV5oBGKz/TgWSC8piNeLeRVUWeP0BI4C2kYPmyo8DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"644070a9f7463bd78ff6c839bc47ba5603d5044b109b6083868f341e749a861e","last_reissued_at":"2026-07-05T09:52:31.934564Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:52:31.934564Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.15909","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":"2026-07-05T09:52:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d5oWTe/eWDjyPOXs7/gM28b8buvQKAZ90I+RE2EULwJMl11JwQkHArysIcmTJwXdRnfxW0nFjry9AMpLhAaHCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T05:01:39.083863Z"},"content_sha256":"3601d6089806f05f70a9d0c6b9820bbf177d70b872cb417e34e33bdeab76ac32","schema_version":"1.0","event_id":"sha256:3601d6089806f05f70a9d0c6b9820bbf177d70b872cb417e34e33bdeab76ac32"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:MRAHBKPXIY55PD7WZA43YR52KY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CCNDF: Curvature Constrained Neural Distance Fields from 3D LiDAR Sequences","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Akshit Singh, Karan Bhakuni, Rajendra Nagar","submitted_at":"2024-12-20T13:59:27Z","abstract_excerpt":"Neural distance fields (NDF) have emerged as a powerful tool for addressing challenges in 3D computer vision and graphics downstream problems. While significant progress has been made to learn NDF from various kind of sensor data, a crucial aspect that demands attention is the supervision of neural fields during training as the ground-truth NDFs are not available for large-scale outdoor scenes. Previous works have utilized various forms of expected signed distance to guide model learning. Yet, these approaches often need to pay more attention to critical considerations of surface geometry and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15909","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/2412.15909/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":"2026-07-05T09:52:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VN63H2NgA3Yhlj1l1LBEs7sL0ZskNjqnY/mNqGE8r5wJrBsWoHOQneFISAVy0jZ2YInKoDZfKf6d/xkWPDGXBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T05:01:39.084381Z"},"content_sha256":"68145932b82964a2ed4be52cdd1ab63500b5449ba7eba9c37583491be625e3d8","schema_version":"1.0","event_id":"sha256:68145932b82964a2ed4be52cdd1ab63500b5449ba7eba9c37583491be625e3d8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MRAHBKPXIY55PD7WZA43YR52KY/bundle.json","state_url":"https://pith.science/pith/MRAHBKPXIY55PD7WZA43YR52KY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MRAHBKPXIY55PD7WZA43YR52KY/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":"2026-08-15T05:01:39Z","links":{"resolver":"https://pith.science/pith/MRAHBKPXIY55PD7WZA43YR52KY","bundle":"https://pith.science/pith/MRAHBKPXIY55PD7WZA43YR52KY/bundle.json","state":"https://pith.science/pith/MRAHBKPXIY55PD7WZA43YR52KY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MRAHBKPXIY55PD7WZA43YR52KY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MRAHBKPXIY55PD7WZA43YR52KY","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":"faf92c7a6d5bcf52dc08e2eb65f5d94119df18b81359590c474286a77ac6b49d","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-20T13:59:27Z","title_canon_sha256":"344e52feffd147a7415a33d83481e9f3e91aacc5c9a76521b839f71a540dcbbd"},"schema_version":"1.0","source":{"id":"2412.15909","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.15909","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"arxiv_version","alias_value":"2412.15909v1","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15909","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"pith_short_12","alias_value":"MRAHBKPXIY55","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"pith_short_16","alias_value":"MRAHBKPXIY55PD7W","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"pith_short_8","alias_value":"MRAHBKPX","created_at":"2026-07-05T09:52:31Z"}],"graph_snapshots":[{"event_id":"sha256:68145932b82964a2ed4be52cdd1ab63500b5449ba7eba9c37583491be625e3d8","target":"graph","created_at":"2026-07-05T09:52:31Z","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/2412.15909/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural distance fields (NDF) have emerged as a powerful tool for addressing challenges in 3D computer vision and graphics downstream problems. While significant progress has been made to learn NDF from various kind of sensor data, a crucial aspect that demands attention is the supervision of neural fields during training as the ground-truth NDFs are not available for large-scale outdoor scenes. Previous works have utilized various forms of expected signed distance to guide model learning. Yet, these approaches often need to pay more attention to critical considerations of surface geometry and ","authors_text":"Akshit Singh, Karan Bhakuni, Rajendra Nagar","cross_cats":["cs.GR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-20T13:59:27Z","title":"CCNDF: Curvature Constrained Neural Distance Fields from 3D LiDAR Sequences"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15909","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":"sha256:3601d6089806f05f70a9d0c6b9820bbf177d70b872cb417e34e33bdeab76ac32","target":"record","created_at":"2026-07-05T09:52:31Z","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":"faf92c7a6d5bcf52dc08e2eb65f5d94119df18b81359590c474286a77ac6b49d","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-20T13:59:27Z","title_canon_sha256":"344e52feffd147a7415a33d83481e9f3e91aacc5c9a76521b839f71a540dcbbd"},"schema_version":"1.0","source":{"id":"2412.15909","kind":"arxiv","version":1}},"canonical_sha256":"644070a9f7463bd78ff6c839bc47ba5603d5044b109b6083868f341e749a861e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"644070a9f7463bd78ff6c839bc47ba5603d5044b109b6083868f341e749a861e","first_computed_at":"2026-07-05T09:52:31.934564Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:52:31.934564Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"w3Y5sN6MkQqU4ZzDzGYfwJ/DGen2uG3pISLDymozAyO9DV5oBGKz/TgWSC8piNeLeRVUWeP0BI4C2kYPmyo8DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:52:31.935048Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.15909","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3601d6089806f05f70a9d0c6b9820bbf177d70b872cb417e34e33bdeab76ac32","sha256:68145932b82964a2ed4be52cdd1ab63500b5449ba7eba9c37583491be625e3d8"],"state_sha256":"fb916da44bd2b3ca860fec6dca2f5abf832332aa65a52f4e025ba1f7cbc2ff98"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KO7mpYmfjr0a0STBp8mQor8rc+tWc6lAk0Kc8XRzow6D/3TZ99D+AdoveTVjHRN9Qcq37pFigDgOZARuI6StBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T05:01:39.089942Z","bundle_sha256":"f3bb584cc5a51af124a0bbaf03d60ecb4e8c6642f28247de48b9b5376d67c105"}}