{"as_of":"2026-08-08T02:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6d644493f4416be6dd78bec1cb104e3270366316087819e210349eaa2cdc51e9","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:57:32.112182Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-14T19:22:50.737531Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.13802","last_updated":"2025-08-21T14:05:53Z","snapshot_observed_at":"2026-08-02T07:55:32.519177Z","submitted_at":"2024-08-25T10:45:52Z","title":"TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.13802","snapshot_observed_at":"2026-08-06T18:57:32.112182Z","title":"Triplemixer: A 3d point cloud denoising model for adverse weather,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06976","last_updated":"2025-07-09T16:05:25Z","snapshot_observed_at":"2026-08-06T18:47:59.545889Z","submitted_at":"2025-07-09T16:05:25Z","title":"DenoiseCP-Net: Efficient Collective Perception in Adverse Weather via Joint LiDAR-Based 3D Object Detection and Denoising","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T18:57:32.112182Z"},"links":{"cited_paper":"/paper/2408.13802","citing_paper":"/paper/2507.06976"},"observation_digest":"sha256:d0c3931bd101704cd65ce10b3203b721593932e75ec5e561d67be3b5367beed6","observation_id":"1ebb0e38-5623-49d7-97d8-e7584dece332","resolution":{"observed_at":"2026-08-06T18:57:32.112182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.13802","last_updated":"2025-08-21T14:05:53Z","snapshot_observed_at":"2026-08-02T07:55:32.519177Z","submitted_at":"2024-08-25T10:45:52Z","title":"TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.13802","snapshot_observed_at":"2026-08-05T19:44:35.931754Z","title":"Triplemixer: A 3d point cloud denoising model for adverse weather","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.11932","last_updated":"2025-08-16T06:25:19Z","snapshot_observed_at":"2026-08-05T19:44:25.594845Z","submitted_at":"2025-08-16T06:25:19Z","title":"Deep Learning For Point Cloud Denoising: A Survey","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-05T19:44:35.931754Z"},"links":{"cited_paper":"/paper/2408.13802","citing_paper":"/paper/2508.11932"},"observation_digest":"sha256:e0a1d28c26eb31306b0e6c973ee3762d8035ec7dce389d8398b7a951772f9265","observation_id":"2c986b3e-6c20-4542-9a46-0df83cda5847","resolution":{"observed_at":"2026-08-05T19:44:35.931754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.13802","last_updated":"2025-08-21T14:05:53Z","snapshot_observed_at":"2026-08-02T07:55:32.519177Z","submitted_at":"2024-08-25T10:45:52Z","title":"TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather","version":2},"cited_work":{"arxiv_id":"2408.13802","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.13802","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"TripleMixer: A 3D point cloud denoising model for adverse weather","venue":null,"work_id":"cd7c5b6d-9c44-4321-bcfd-e71aff7b31cb","year":2024},"citing_paper":{"arxiv_id":"2605.13815","last_updated":"2026-05-13T17:42:20Z","snapshot_observed_at":"2026-08-02T07:55:48.285473Z","submitted_at":"2026-05-13T17:42:20Z","title":"OmniLiDAR: A Unified Diffusion Framework for Multi-Domain 3D LiDAR Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-14T19:20:15.333859Z"},"links":{"cited_paper":"/paper/2408.13802","citing_paper":"/paper/2605.13815"},"observation_digest":"sha256:e054bd19e7f4d65e6e28023f51d877681b22087bf829bd4331d2869a9f5f6840","observation_id":"85dbac24-db4a-4f1a-bfcb-d21e62601755","resolution":{"observed_at":"2026-05-14T19:22:50.740812Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.13802/citation-record","integrity":"/paper/2408.13802/integrity","json":"/paper/2408.13802/citation-record.json","paper":"/paper/2408.13802"},"outbound":[],"paper":{"arxiv_id":"2408.13802","last_updated":"2025-08-21T14:05:53Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-02T07:55:32.519177Z","submitted_at":"2024-08-25T10:45:52Z","title":"TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.13802."}