{"as_of":"2026-08-21T17:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:61fedfc82ea0bff9883ab0f52de9dab74477c99685b71084e57ac926d7a03aa9","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:11:08.982625Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:55:35.268066Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T13:03:53.448652Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.19863","snapshot_observed_at":"2026-08-07T11:55:35.268066Z","title":"Fruitnerf++: A general- ized multi-fruit counting method utilizing contrastive learning and neural radiance fields,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.01109","last_updated":"2025-08-07T10:47:32Z","snapshot_observed_at":"2026-08-07T11:48:18.280485Z","submitted_at":"2025-06-01T18:19:47Z","title":"CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T11:55:35.268066Z"},"links":{"cited_paper":"/paper/2505.19863","citing_paper":"/paper/2506.01109"},"observation_digest":"sha256:c81ae7f17ebcb6d3ee29ba04c3b39a97f3aba0694c168df8f50544135826b322","observation_id":"0635b2ef-0bd7-41ae-84dd-2975f7e28777","resolution":{"observed_at":"2026-08-07T11:55:35.268066Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"cited_work":{"arxiv_id":"2505.19863","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.19863","snapshot_observed_at":"2026-08-05T13:03:53.448652Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","venue":"cs.CV","work_id":"969e7538-eb7d-490f-b790-493c8ff390b6","year":2025},"citing_paper":{"arxiv_id":"2509.00989","last_updated":"2025-08-31T20:53:35Z","snapshot_observed_at":"2026-08-13T18:30:53.027959Z","submitted_at":"2025-08-31T20:53:35Z","title":"Towards Integrating Multi-Spectral Imaging with Gaussian Splatting","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-05T13:03:50.494731Z"},"links":{"cited_paper":"/paper/2505.19863","citing_paper":"/paper/2509.00989"},"observation_digest":"sha256:c20d98d6459f93f8c5047728aa3c6ba927c547ada3eb9bb6ba1f00468e5bf898","observation_id":"f58b98e9-9dc0-4ec0-9a3a-9c83e35dc303","resolution":{"observed_at":"2026-08-05T13:03:53.588561Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.19863/citation-record","integrity":"/paper/2505.19863/integrity","json":"/paper/2505.19863/citation-record.json","paper":"/paper/2505.19863"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:18.617729Z","title":"Fruit sizing using AI: A review of methods and challenges,","venue":null,"work_id":"e4a1c3fc-c864-40a2-87ff-54c9fa1a9914","year":2023},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:05.219361Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:c443b87cef993013a5cc23d8c529fd1cea4092b71b77ab01c235c8a7f281271c","observation_id":"d85e8b45-cba6-469c-a2bd-3638920ab114","resolution":{"observed_at":"2026-08-07T14:11:18.694529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:18.460453Z","title":"Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry,","venue":null,"work_id":"e7485141-7df7-41e5-ba11-999d522faaff","year":2020},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:05.245340Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:b747144270c8494fc02ec6dd5f82d567022c435c11b438a2b7da6e8d2787d7e8","observation_id":"bbd14a6f-593e-4e22-b4ef-ee4a1f42e15a","resolution":{"observed_at":"2026-08-07T14:11:18.546010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:18.277196Z","title":"Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion,","venue":null,"work_id":"7442d022-b493-41ce-95a7-67eef96ad439","year":2018},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:05.311343Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:6fc21ac7a5311f662d4f7bd399a8c3bbe8a635b4e5c3021b524de30357f2648d","observation_id":"04ee7727-d99d-4ef1-b786-396a5626181d","resolution":{"observed_at":"2026-08-07T14:11:18.358303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:18.151939Z","title":"Monocular Camera Based Fruit Counting and Mapping With Semantic Data Association,","venue":null,"work_id":"00f12e4d-cec1-4f8a-a00a-0c1fcb148cc8","year":2019},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:05.372200Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:b4a8bd8e97218c2d698c6dedfce526ab6dcec6f1cfce16fc8ef7349bbf72703a","observation_id":"ccecfb86-ac4f-4946-9ca9-003fc2232172","resolution":{"observed_at":"2026-08-07T14:11:18.197943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:18.014967Z","title":"A comparative study of fruit detection and counting methods for yield mapping in apple orchards,","venue":null,"work_id":"774e2b6b-8966-457b-8a70-901e9ec6de9a","year":2019},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:05.412170Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:045774ce7a42181341ffe11ca216bdb223cc1fc221053fb704453a0bd9a1f833","observation_id":"cfb5e43d-9281-4a18-a1f5-52bd821a5887","resolution":{"observed_at":"2026-08-07T14:11:18.087586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:17.879883Z","title":"FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework,","venue":null,"work_id":"0730d060-fc8c-48ff-9a58-775c37f01c09","year":2024},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:05.460440Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:cc3209b0a0094ac335a0aa071b4a46e309ce6ad17dce24eadfd68ecdf81cbdf7","observation_id":"009b8c06-60a0-4882-b83f-9dfde9586ffd","resolution":{"observed_at":"2026-08-07T14:11:17.946713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:17.747150Z","title":"PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics,","venue":null,"work_id":"9dc5979f-62fe-4d0a-960f-8a2ca0ca53a6","year":2023},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:05.534901Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:da7f645b1b75f16c46765c424e339e4426967738cadafcf772fa131d8d8e2a87","observation_id":"ae15b980-6ac1-4697-b17c-aee2edcfbef1","resolution":{"observed_at":"2026-08-07T14:11:17.813221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:17.618604Z","title":"Fruit Tracking Over Time Using High-Precision Point Clouds,","venue":null,"work_id":"a5cf934e-0737-465b-9164-d13538771edb","year":2023},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:05.591236Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:2c0b24ff9861d635f74be6fe7a9183b32e1169bbeafec9e404fd20de6a908510","observation_id":"72d60cab-fac5-47bd-ae6c-48568127714d","resolution":{"observed_at":"2026-08-07T14:11:17.684162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:17.460177Z","title":"Compact Strawberry Harvesting Tube Employing Laser Cutter,","venue":null,"work_id":"3730cb2c-2b4a-4416-8ce8-fc8499567744","year":2022},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:05.655823Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:c6e849ddc3d5079c5d2b8639dadbeccf0a923c01611c38bdeadf4d1fbba4c860","observation_id":"b8e39a5d-9760-4cdb-bc95-b375ae6bfb99","resolution":{"observed_at":"2026-08-07T14:11:17.532802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:17.341027Z","title":"U-Net: Convolutional Net- works for Biomedical Image Segmentation,","venue":null,"work_id":"48c18e90-1c47-4474-a883-1d540966c295","year":2015},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:05.727123Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:0393b21625c4d4fafb1c13e86efe1fba1e4f617fcecb3cf3d306148aa9f54abf","observation_id":"92ad9848-bedc-40b1-bf35-ea86b539d475","resolution":{"observed_at":"2026-08-07T14:11:17.399696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:17.223426Z","title":"Complete and accurate holly fruit counting using YOLOX object detection,","venue":null,"work_id":"e895152c-266a-4ee0-bd4b-39da6aeaa5ac","year":2022},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:05.785216Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:ef858a8c90096d346a1e9e2e78c80afd0e0e87391cd16f06d8ed43b8523e0272","observation_id":"7250ccf2-ad3d-457c-8c3f-d4ea683a33d8","resolution":{"observed_at":"2026-08-07T14:11:17.282981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:17.096370Z","title":"Dimensionality Reduction by Learning an Invariant Mapping,","venue":null,"work_id":"6e10eac5-f936-4311-9e50-465d02edca35","year":2006},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:05.836763Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:8b1ccd6558aeab4530074b3b6259a4f4228a46b8c3d672543cf1a519cdeee373","observation_id":"b5d62248-a9ee-4c23-8a96-7d0cc2a99531","resolution":{"observed_at":"2026-08-07T14:11:17.163226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:16.981020Z","title":"A Simple Framework for Contrastive Learning of Visual Representations,","venue":null,"work_id":"5f4e1102-0985-4aaf-ab29-9c9ccf5d2141","year":2020},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:05.900697Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:93dc09b53b2333231c4fbd4c19ff3918e93f97c2f429cc8a0906f374da3e8f43","observation_id":"6649f919-fa0a-47cb-a2b7-be601ba0c02d","resolution":{"observed_at":"2026-08-07T14:11:17.038909Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:16.867972Z","title":"Unsupervised Semantic Segmentation by Distilling Feature Corre- spondences,","venue":null,"work_id":"ed0a18c5-3d03-4497-bcc9-82bd4297eb54","year":2022},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:05.961244Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:d6d41605069cd0057ad146b6ce13e158f0757413b3e3b8203a72d01c9c4b4c41","observation_id":"35e7bcb2-1b59-4355-aac1-c4d5e463df43","resolution":{"observed_at":"2026-08-07T14:11:16.923384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:16.736779Z","title":"CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning,","venue":null,"work_id":"68a416fc-ad3b-4ca3-bec6-28974b8be534","year":2024},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:06.036814Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:a20e91a215b3451554839f43417fd7b07d0447258442542a3089ba2220e9ab21","observation_id":"3d06dbf1-bf37-4674-8d42-824875db7202","resolution":{"observed_at":"2026-08-07T14:11:16.807169Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:16.566042Z","title":"Blind Localization and Clustering of Anomalies in Textures,","venue":null,"work_id":"307ae285-e5ef-4289-a6fa-4a1bd446a236","year":2024},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:06.117490Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:3e4451ab8bc843709378c837b5b936226ffd78fdd4919431bc8e5e7fa7f0c1a4","observation_id":"bf034953-6cfb-47bf-8f63-40c67d6b947b","resolution":{"observed_at":"2026-08-07T14:11:16.615231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:16.423608Z","title":"Contrastive Learning of General-Purpose Audio Representations,","venue":null,"work_id":"5f497cfa-2593-48d6-a9c5-5459dc0ef50b","year":2020},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:06.200050Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:373ce39e779ed32a85ce0599a6b5a22f282624d4cd9a7c2236f0224d65d47788","observation_id":"e25670aa-5781-45de-b988-47e34e3bcab7","resolution":{"observed_at":"2026-08-07T14:11:16.491602Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:16.274339Z","title":"FaceNet: A Unified Embedding for Face Recognition and Clustering,","venue":null,"work_id":"34095798-27e7-4bc2-bdaf-316007add024","year":2015},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:06.260092Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:f40c47ec80d6e88765e505b3cc34a8223caf34c4bc99bd5e3ecf79260e376338","observation_id":"35366453-8dbc-4adf-8f4a-8b0cbc70641a","resolution":{"observed_at":"2026-08-07T14:11:16.339718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:16.059254Z","title":"ArcFace: Additive Angular Margin Loss for Deep Face Recognition,","venue":null,"work_id":"4e8bdbb9-06dc-460c-bd3d-3dcb91751200","year":2019},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:06.324093Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:d63a627fd877a4dcbe438695a7f6beb38bcf98bd0bc54fb676ecadf943d69819","observation_id":"4ad43a04-beb6-43ba-989d-14fadf02fa9b","resolution":{"observed_at":"2026-08-07T14:11:16.161800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:15.837942Z","title":"Improved Deep Metric Learning with Multi-class N-pair Loss Objective,","venue":null,"work_id":"af194a09-99f0-4a36-ba8a-13384d4efa01","year":2016},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:06.379752Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:cf6be24a4e0406d603e0539f6060c4f3e63c51194693aae2da580d5ec250bfd7","observation_id":"8a3eac4d-cf4f-4d1e-9c13-b1ca24f2104b","resolution":{"observed_at":"2026-08-07T14:11:15.963665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:15.634444Z","title":"Representation Learning with Contrastive Predictive Coding,","venue":null,"work_id":"58376918-bb70-4955-afb2-ff5a0dc38b80","year":2019},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:06.457968Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:8c305a23e5e966a4ead38c7c2bb9879195e9299c443a199ef72ef18a3894c8c6","observation_id":"112d79fa-6136-4c23-8512-df4822c1857f","resolution":{"observed_at":"2026-08-07T14:11:15.716218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:15.450083Z","title":"Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion,","venue":null,"work_id":"6d5b7c9d-a103-4439-87cc-b72812c29b9a","year":2023},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:06.521209Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:7f0aa9a9ce50d1eb8e8011c8ffcf7ec585931dce7640488d751bbe37e3f86416","observation_id":"2a625e53-897a-46d9-8380-64fa24b8bd95","resolution":{"observed_at":"2026-08-07T14:11:15.524380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:15.129838Z","title":"NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,","venue":null,"work_id":"16fca5ed-84c3-45bd-9d1c-089bde00ea40","year":2022},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:06.582372Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:52c5da64fd6b940f674dbc1643c1254618608d42fb791882261472347e8ac95c","observation_id":"de2e0c39-ed34-4f0c-ba8e-1e64895cf12d","resolution":{"observed_at":"2026-08-07T14:11:15.323653Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:14.783004Z","title":"Momentum contrast for unsupervised visual representation learning","venue":null,"work_id":"02c5f0c4-bf21-4001-8887-4172a0452b92","year":2020},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:06.656149Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:bc972cbd858569d711b7f5a5c5b1a9bae4ba7223847b08339d38dece8328300c","observation_id":"b5504642-4982-4664-b19f-4c3867693caa","resolution":{"observed_at":"2026-08-07T14:11:14.973590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:14.463639Z","title":"Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields,","venue":null,"work_id":"b7dfea92-0e3c-4e56-b1e3-019031b24406","year":2023},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:06.714577Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:188545f8ed131c9d140d6b24c0628b4870423b3ff55e6cc422f369ecb495a072","observation_id":"f7879a94-e077-48dc-9fa0-0f6406db9960","resolution":{"observed_at":"2026-08-07T14:11:14.588350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.13744","last_updated":"2021-08-02T15:58:25Z","snapshot_observed_at":"2026-08-16T18:36:25.052394Z","submitted_at":"2021-03-25T10:53:05Z","title":"KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.13744","snapshot_observed_at":"2026-08-07T14:11:06.836586Z","title":"KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:06.836586Z"},"links":{"cited_paper":"/paper/2103.13744","citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:da15b4ff6a04f21f4fd6d3336ac827f310306edf1f455efcaa995d98ece5841e","observation_id":"8595c233-54ff-476e-8168-8a5615724aa4","resolution":{"observed_at":"2026-08-07T14:11:06.836586Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:14.194808Z","title":"PlenOctrees for Real-time Rendering of Neural Radiance Fields,","venue":null,"work_id":"3c0af316-0db0-4899-909a-d3e61b2412de","year":2021},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:06.936634Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:51339ba1a729b65b49e33feab92999a50322f11596690016dd1a39ea9ec7a665","observation_id":"abf12ff9-5947-4b9c-bc08-12dba1ce6a18","resolution":{"observed_at":"2026-08-07T14:11:14.322297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:13.878895Z","title":"Plenoxels: Radiance Fields without Neural Networks,","venue":null,"work_id":"c94aafe3-9ca0-4f57-b143-a833de531699","year":2022},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:07.010305Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:d17cce1bb488036a4d0b6c945fa6b48e90a1c12824f5f70d5ed6fc9386c4f82a","observation_id":"7210424e-d9ab-4086-bd73-12ee0be9d3df","resolution":{"observed_at":"2026-08-07T14:11:14.047076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:13.603598Z","title":"Instant Neural Graphics Primitives with a Multiresolution Hash Encoding,","venue":null,"work_id":"32204545-494d-46fd-b6e9-c213ad3ee997","year":2022},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:07.115577Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:88ca574994c443c87720028d76b9a2a9c87dbc7f14c7209d6cb7edb42d3432d1","observation_id":"7a178f4e-39b9-4548-894c-23afe1fadd9c","resolution":{"observed_at":"2026-08-07T14:11:13.725681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:13.217545Z","title":"In-Place Scene Labelling and Understanding with Implicit Scene Representation,","venue":null,"work_id":"96d40911-883f-4279-a60d-58b0afc9bfac","year":2021},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:07.218146Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:ed4751b97f2e468cad3ec083c7c2c098224136a2ae50f5c522738bf5928a7d61","observation_id":"c6212678-1fae-4599-97d3-ffebddffae44","resolution":{"observed_at":"2026-08-07T14:11:13.415111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:13.043333Z","title":"Instance Neural Radiance Field,","venue":null,"work_id":"33f8b481-3d81-407e-b9ea-fdf646639ecb","year":2023},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:07.320692Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:0f22561425e62a184a4570e28cdc2b47d9e54ca79a3e4cdcc463be8e765e56b6","observation_id":"f7a6ff02-f0c9-42ee-b2d9-32b15c583b89","resolution":{"observed_at":"2026-08-07T14:11:13.124854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:12.808226Z","title":"Panoptic Lifting for 3D Scene Understanding With Neural Fields,","venue":null,"work_id":"ab5fe67c-e635-49b4-a15e-d4004f7c88f9","year":2023},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:07.389907Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:500b0ba63240ae2998be7dc5baadcd47345058fe46eabb323213fa162c2e72f4","observation_id":"0ffdad61-a572-447b-942f-8efa78b17b23","resolution":{"observed_at":"2026-08-07T14:11:12.955827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:12.576612Z","title":"[Online:https:// www.xfrog.com/product-page/library-fruit-trees]","venue":null,"work_id":"f05c54cd-364a-42f5-90ec-aced3c09b093","year":2020},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:07.476718Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:b8c151c88bd56f99fd95b43cba3ad307e33e0983b6f2de964fc9196cd38ac196","observation_id":"3ecba69c-89ad-46a7-8b33-f37e7a32d2a9","resolution":{"observed_at":"2026-08-07T14:11:12.690740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5281/zenodo.7926211","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"BlenderNeRF","venue":"Zenodo (CERN European Organization for Nuclear Research)","work_id":"98b20089-ee11-4205-b17c-60099f180101","year":2023},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:07.550283Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:4384ac3135635504f764390c46b63bb683ea255aea955f7804b9453754270d3f","observation_id":"86230d60-6345-45ed-bc31-4f31279f44bd","resolution":{"observed_at":"2026-08-07T14:11:09.097337Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:12.356520Z","title":"Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry,","venue":null,"work_id":"c24039ab-00e0-4026-b37e-5aeb91b59542","year":2020},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:07.620649Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:e72b80d61528d3751a553c379a11992b78229223bb46b57bf49be8fb7a782800","observation_id":"05df8c1e-438a-4415-95db-760328c115c4","resolution":{"observed_at":"2026-08-07T14:11:12.457435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:12.123183Z","title":"Structure-from-Motion Revisited,","venue":null,"work_id":"2252a0dd-11f9-497a-93b5-73ce9f077e92","year":2016},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:07.709339Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:2dbc185f0d4c7f389f36e241e557282d755790029d229ba7ff955f230395142b","observation_id":"7f709b73-d3a6-4f3d-862f-01bc5fec079f","resolution":{"observed_at":"2026-08-07T14:11:12.215811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:11.813194Z","title":"Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks,","venue":null,"work_id":"1b5e2175-ec58-40e9-b373-993676dd6789","year":2024},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:07.783221Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:27dff8b98bae081f65af991f63d220d070db1bf4c95a39e036bad2063adb5e3f","observation_id":"d64d0f28-b516-42fa-a6ef-2705fe34ce61","resolution":{"observed_at":"2026-08-07T14:11:11.959887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:11.530596Z","title":"Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection,","venue":null,"work_id":"72bbfb95-53e3-4ad9-b80d-4d786a18eb9a","year":2024},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:07.902969Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:b9bad39db6a221fda7f86adabc7c81d7331895fd8318e3d6b96048ab90e5402b","observation_id":"ea715134-84c2-4dcf-8832-79151c424d01","resolution":{"observed_at":"2026-08-07T14:11:11.669890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:11.314049Z","title":"Segment Anything,","venue":null,"work_id":"386d5091-fdef-4b69-a3da-29d1fce84615","year":2023},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:08.003258Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:ae53040b82b9c33c5cac570fb94cd5fbc547cfd1206eb1435ca2ae87e62e80ba","observation_id":"cdf41f84-93e9-4f23-b835-44ecc36bac8c","resolution":{"observed_at":"2026-08-07T14:11:11.426818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:11.069077Z","title":"Segment Anything in High Quality,","venue":null,"work_id":"fc777029-6585-4ace-bfef-df087c6b8843","year":2023},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:08.074199Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:ba48320b48c1eca425552cec1eee4772652927852c0a3b0c97e76ac06fc12da2","observation_id":"e166fae7-a641-495e-a2f8-3572211c097e","resolution":{"observed_at":"2026-08-07T14:11:11.181558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:10.883940Z","title":"Detecting Twenty-thousand Classes using Image-level Supervision,","venue":null,"work_id":"8e893ed6-079f-4524-aecc-0faede4ba253","year":2022},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:08.177341Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:366485e3f8c5330725794657428a53646548820d94763d71c878ce9b27de4ce6","observation_id":"384c64ae-cf76-4d57-b7f6-fb82ceddeb95","resolution":{"observed_at":"2026-08-07T14:11:10.953293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:10.652474Z","title":"LVIS: A Dataset for Large Vocabulary Instance Segmentation,","venue":null,"work_id":"b4e6e011-4de0-4d32-b1bc-09e9a222b38a","year":2019},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:08.263026Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:d00a070def68acf7eb21ff431d443458be333b46a01136140b08a6f96553bd99","observation_id":"98dea01a-415c-4963-82f0-9a27f62dc51a","resolution":{"observed_at":"2026-08-07T14:11:10.729940Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:10.464692Z","title":"Radford, J","venue":null,"work_id":"d59485df-4445-4167-8fc1-2e3f54f14b81","year":2021},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:08.366192Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:b9aff49d9577b1eae8732b8dd02fde99c2de30852e40021dde9e83389e2b052b","observation_id":"2303b33c-77af-4fa3-a1cc-e538aee2d9cd","resolution":{"observed_at":"2026-08-07T14:11:10.537327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:10.206674Z","title":"Exploring Multi- modal Neural Scene Representations With Applications on Thermal Imaging,","venue":null,"work_id":"54962e74-8f8a-4e7e-be5b-92eb22f2f659","year":2024},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:08.467104Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:0afcdf8990d55064432bfa6e42c89fb6c973aa1b84a8c6dd4e920ad559efb8aa","observation_id":"27585576-84b4-4cd6-957d-c8a108be379c","resolution":{"observed_at":"2026-08-07T14:11:10.322330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:10.020970Z","title":"Nerfstudio: A Modular Framework for Neural Radiance Field Development,","venue":null,"work_id":"2163079c-8558-4105-8e78-b7f8b4d025fc","year":2023},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:08.548411Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:5bf36737ebbd6abc6f06b514c1816113958564e19a0eefaf2dfe5e779443a613","observation_id":"31bb5a99-5d3e-407c-954a-1bc99ad0a668","resolution":{"observed_at":"2026-08-07T14:11:10.103939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:09.857297Z","title":"A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise,","venue":null,"work_id":"80d96dc3-2097-43ec-8fc4-2df144bf13da","year":1996},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:08.620395Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:71d87b861e44a1ad800bb5ed14cb896737e07188f08d044682693b18e3ec3488","observation_id":"ede4b186-3eff-4166-a4f2-fd327e61c5ec","resolution":{"observed_at":"2026-08-07T14:11:09.945463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:09.756594Z","title":"Scikit-learn: Machine Learning in Python,","venue":null,"work_id":"2426a837-2983-4342-8fa9-113531c2abbe","year":2011},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:08.721217Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:e075c67575e81d551f0fadc60e60af651ebd33af1010d7b6f8232ef5a1823126","observation_id":"b8b6e4f7-d3e5-4c69-9d87-94d21e04a21c","resolution":{"observed_at":"2026-08-07T14:11:09.810036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:09.594981Z","title":"Density-Based Clustering Based on Hierarchical Density Estimates,","venue":null,"work_id":"b6bbeecc-e5ea-49cc-870d-3f77d3adc3e0","year":2013},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:08.796165Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:2d4eee2ba0598f19cd48982ab53992697ee2eaf1ab4f9d606e50f2e0828cac99","observation_id":"697e8fca-283d-4b8c-9fec-1d5cf431e13c","resolution":{"observed_at":"2026-08-07T14:11:09.656754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.09740","last_updated":"2021-03-20T10:46:06Z","snapshot_observed_at":"2026-08-16T18:58:29.496071Z","submitted_at":"2020-12-15T05:11:33Z","title":"Understanding the Behaviour of Contrastive Loss","version":2},"cited_work":{"arxiv_id":"2012.09740","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.09740","snapshot_observed_at":"2026-08-07T14:11:09.148189Z","title":"Understanding the Behaviour of Contrastive Loss","venue":"cs.LG","work_id":"7b662479-6ff4-4f37-921d-435304264dc3","year":2020},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:08.842588Z"},"links":{"cited_paper":"/paper/2012.09740","citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:72dfb3debd48d30e5ad42370bfd4cd7efede989cdec78b6c1bc6e3e260345f08","observation_id":"b3d826e3-5c14-45db-a958-6e205805bb1e","resolution":{"observed_at":"2026-08-07T14:11:09.214373Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:09.440823Z","title":"B-SLAM-SIM: A Novel Approach to Evaluate the Fusion of Visual SLAM and GPS by Example of Direct Sparse Odometry and Blender,","venue":null,"work_id":"871ef81a-18bd-497a-8d73-e5e53cfe0e4e","year":2019},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:08.885195Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:3836ad8493a1958d1b95c6588f44d8bdc2e8bf35febd3b7669d97e299f3404b8","observation_id":"437afe02-6d5d-4f7c-9b2e-3ffca793c95f","resolution":{"observed_at":"2026-08-07T14:11:09.534521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:09.368082Z","title":"3D Gaussian Splatting for Real-Time Radiance Field Rendering,","venue":null,"work_id":"1f30524e-c207-45c8-a17f-6d0101606609","year":2023},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:08.936513Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:05606c7d7938a46a58e815e9452481b0ea272f349ac5b5085fb1c612d543fa76","observation_id":"0cc75db3-9e64-4cbe-a24f-a5d6af88849b","resolution":{"observed_at":"2026-08-07T14:11:09.389189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:11:09.294048Z","title":"Zero-Shot Object Counting,","venue":null,"work_id":"adbbab3a-e68f-478b-a1f6-fc298942c923","year":2023},"citing_paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:08.982625Z"},"links":{"citing_paper":"/paper/2505.19863"},"observation_digest":"sha256:e8821956ed405335c26eb07c4769314b890df493114aa90aff0040ace876b261","observation_id":"ac15b36c-d3c0-4ff1-a42b-1b237f903319","resolution":{"observed_at":"2026-08-07T14:11:09.323183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.19863","last_updated":"2025-05-26T11:48:22Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T11:45:39.985965Z","submitted_at":"2025-05-26T11:48:22Z","title":"FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":2,"verified_fuzzy":49},"total_outbound_references":52},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2505.19863."}