{"as_of":"2026-08-21T01:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:871c1be7cbcb40dad3142d43f5031fe18e0887c258bb6c8ed0b45060c7df0d34","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T05:52:03.540552Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":16,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2302.01226","last_updated":"2023-07-27T05:29:14Z","snapshot_observed_at":"2026-08-16T15:58:09.113058Z","submitted_at":"2023-02-02T17:06:50Z","title":"Factor Fields: A Unified Framework for Neural Fields and Beyond","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.01226","snapshot_observed_at":"2026-08-05T16:08:07.612440Z","title":"FactorFields: AUnifiedFramework for Neural Fields and Beyond","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.18971","last_updated":"2025-08-26T12:17:00Z","snapshot_observed_at":"2026-08-08T14:51:02.714245Z","submitted_at":"2025-08-26T12:17:00Z","title":"Can we make NeRF-based visual localization privacy-preserving?","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T16:08:07.612440Z"},"links":{"cited_paper":"/paper/2302.01226","citing_paper":"/paper/2508.18971"},"observation_digest":"sha256:ddf10ddaddc3d55ccd2426fd5c5bc0ecca6a6598f311c4f67d24f7b20dd6e501","observation_id":"345f9657-b46d-429f-b6dd-6e4f9ccf3b93","resolution":{"observed_at":"2026-08-05T16:08:07.612440Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.01226","last_updated":"2023-07-27T05:29:14Z","snapshot_observed_at":"2026-08-16T15:58:09.113058Z","submitted_at":"2023-02-02T17:06:50Z","title":"Factor Fields: A Unified Framework for Neural Fields and Beyond","version":3},"cited_work":{"arxiv_id":"2302.01226","doi":"10.48550/arxiv.2302.01226","metadata_source":"arxiv_reference","pith_arxiv_id":"2302.01226","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Factor fields: A unified framework for neural fields and beyond","venue":"arXiv (Cornell University)","work_id":"736cfe81-3c8e-4f26-9890-359fd58356a7","year":2023},"citing_paper":{"arxiv_id":"2604.26799","last_updated":"2026-05-07T06:27:58Z","snapshot_observed_at":"2026-08-15T04:45:34.293611Z","submitted_at":"2026-04-29T15:30:06Z","title":"MesonGS++: Post-training Compression of 3D Gaussian Splatting with Hyperparameter Searching","version":1},"reference_index":102,"source":"pdf_text","source_observed_at":"2026-05-07T11:50:10.288141Z"},"links":{"cited_paper":"/paper/2302.01226","citing_paper":"/paper/2604.26799"},"observation_digest":"sha256:c2597631ed090dd068131af2a29e509466f48a2ae354df23ec588d67abe6f274","observation_id":"93865081-a30f-4a4f-b8be-50eced4bf84b","resolution":{"observed_at":"2026-05-12T09:16:25.497158Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.01226","last_updated":"2023-07-27T05:29:14Z","snapshot_observed_at":"2026-08-16T15:58:09.113058Z","submitted_at":"2023-02-02T17:06:50Z","title":"Factor Fields: A Unified Framework for Neural Fields and Beyond","version":3},"cited_work":{"arxiv_id":"2302.01226","doi":"10.48550/arxiv.2302.01226","metadata_source":"arxiv_reference","pith_arxiv_id":"2302.01226","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Factor fields: A unified framework for neural fields and beyond","venue":"arXiv (Cornell University)","work_id":"736cfe81-3c8e-4f26-9890-359fd58356a7","year":2023},"citing_paper":{"arxiv_id":"2604.26799","last_updated":"2026-05-07T06:27:58Z","snapshot_observed_at":"2026-08-15T04:45:34.293611Z","submitted_at":"2026-04-29T15:30:06Z","title":"MesonGS++: Post-training Compression of 3D Gaussian Splatting with Hyperparameter Searching","version":2},"reference_index":102,"source":"pdf_text","source_observed_at":"2026-05-08T03:21:09.603306Z"},"links":{"cited_paper":"/paper/2302.01226","citing_paper":"/paper/2604.26799"},"observation_digest":"sha256:f7de0f5fae87254d13d038c848d3f419bdb8c656046fa1bc28b9e009212b9d18","observation_id":"ce5023f0-5198-4831-8908-c11d7276d9ad","resolution":{"observed_at":"2026-05-11T22:06:32.420358Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.01226","last_updated":"2023-07-27T05:29:14Z","snapshot_observed_at":"2026-08-16T15:58:09.113058Z","submitted_at":"2023-02-02T17:06:50Z","title":"Factor Fields: A Unified Framework for Neural Fields and Beyond","version":3},"cited_work":{"arxiv_id":"2302.01226","doi":"10.48550/arxiv.2302.01226","metadata_source":"arxiv_reference","pith_arxiv_id":"2302.01226","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Factor fields: A unified framework for neural fields and beyond","venue":"arXiv (Cornell University)","work_id":"736cfe81-3c8e-4f26-9890-359fd58356a7","year":2023},"citing_paper":{"arxiv_id":"2606.31065","last_updated":"2026-06-30T02:52:06Z","snapshot_observed_at":"2026-08-16T22:26:22.911953Z","submitted_at":"2026-06-30T02:52:06Z","title":"Diffusion-Based Material Regularization for Physics-Based Inverse Rendering","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-01T06:46:50.184220Z"},"links":{"cited_paper":"/paper/2302.01226","citing_paper":"/paper/2606.31065"},"observation_digest":"sha256:e4fc145f2caede628b4e6350a097374b9477b406a84f8a0920b4581f50cb5947","observation_id":"1cb6ad1e-fa02-459c-a468-13d913f43d82","resolution":{"observed_at":"2026-07-01T06:55:28.381977Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.01226","last_updated":"2023-07-27T05:29:14Z","snapshot_observed_at":"2026-08-16T15:58:09.113058Z","submitted_at":"2023-02-02T17:06:50Z","title":"Factor Fields: A Unified Framework for Neural Fields and Beyond","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.01226","snapshot_observed_at":"2026-08-10T05:52:03.540552Z","title":"Factor fields: A unified framework for neural fields and beyond.arXiv preprint arXiv:2302.01226, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.07349","last_updated":"2026-08-18T19:02:44Z","snapshot_observed_at":"2026-08-21T00:14:26.325022Z","submitted_at":"2026-08-07T15:44:55Z","title":"Residual Algebra for Representation-Preserving Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T05:52:03.540552Z"},"links":{"cited_paper":"/paper/2302.01226","citing_paper":"/paper/2608.07349"},"observation_digest":"sha256:c5b8ae99574ccd69641499ff362e000598419ea3575e4bb8eee720602547cd13","observation_id":"9ca6d69d-0134-4731-bec2-0014ad8b9d40","resolution":{"observed_at":"2026-08-10T05:52:03.540552Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2302.01226/citation-record","integrity":"/paper/2302.01226/integrity","json":"/paper/2302.01226/citation-record.json","paper":"/paper/2302.01226"},"outbound":[],"paper":{"arxiv_id":"2302.01226","last_updated":"2023-07-27T05:29:14Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T15:58:09.113058Z","submitted_at":"2023-02-02T17:06:50Z","title":"Factor Fields: A Unified Framework for Neural Fields and Beyond"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.01226."}