{"as_of":"2026-08-08T09:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:450b3cd70294ac4d4c0d1907144407bb0b0531b6615fb85934da61c3b3afda77","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":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":14,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:35:15.767680Z","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":"2026-07-01T14:55:48.212630Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1812.04605","last_updated":"2020-04-27T19:17:43Z","snapshot_observed_at":"2026-07-06T07:20:36.957156Z","submitted_at":"2018-12-11T18:47:12Z","title":"DeepV2D: Video to Depth with Differentiable Structure from Motion","version":4},"cited_work":{"arxiv_id":"1812.04605","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1812.04605","snapshot_observed_at":"2026-07-01T14:55:48.212630Z","title":"arXiv preprint arXiv:1812.04605 , year =","venue":null,"work_id":"2824f98a-b3db-4cd7-b5cc-6e20ad22b430","year":2018},"citing_paper":{"arxiv_id":"2410.03825","last_updated":"2025-05-08T08:32:16Z","snapshot_observed_at":"2026-07-06T19:28:08.374354Z","submitted_at":"2024-10-04T18:00:07Z","title":"MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion","version":2},"reference_index":148,"source":"arxiv_source","source_observed_at":"2026-05-15T14:41:13.120099Z"},"links":{"cited_paper":"/paper/1812.04605","citing_paper":"/paper/2410.03825"},"observation_digest":"sha256:4f4f973020e5a654621904426d2e9cb9569758352cf43d323f6a59c3a4fe5de7","observation_id":"a74777d4-0eda-45c2-990d-26f50b8babfa","resolution":{"observed_at":"2026-05-15T14:41:13.190089Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.04605","last_updated":"2020-04-27T19:17:43Z","snapshot_observed_at":"2026-07-06T07:20:36.957156Z","submitted_at":"2018-12-11T18:47:12Z","title":"DeepV2D: Video to Depth with Differentiable Structure from Motion","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.04605","snapshot_observed_at":"2026-08-07T10:35:15.767680Z","title":"Deepv2d: Video to depth with differentiable structure from motion","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.05011","last_updated":"2025-06-05T13:21:09Z","snapshot_observed_at":"2026-08-07T15:18:53.077917Z","submitted_at":"2025-06-05T13:21:09Z","title":"UAV4D: Dynamic Neural Rendering of Human-Centric UAV Imagery using Gaussian Splatting","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T10:35:15.767680Z"},"links":{"cited_paper":"/paper/1812.04605","citing_paper":"/paper/2506.05011"},"observation_digest":"sha256:0b424c35d7af391c77752e2bc19a8cd4e1f4f63609417e5150b1fd17df6e0806","observation_id":"90ad3b9c-7eaf-4622-8d90-c618e71ba096","resolution":{"observed_at":"2026-08-07T10:35:15.767680Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.04605","last_updated":"2020-04-27T19:17:43Z","snapshot_observed_at":"2026-07-06T07:20:36.957156Z","submitted_at":"2018-12-11T18:47:12Z","title":"DeepV2D: Video to Depth with Differentiable Structure from Motion","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.04605","snapshot_observed_at":"2026-08-07T00:32:08.399100Z","title":"Deepv2d: Video to depth with differentiable structure from motion","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.13750","last_updated":"2025-06-16T17:56:22Z","snapshot_observed_at":"2026-08-07T08:57:08.872123Z","submitted_at":"2025-06-16T17:56:22Z","title":"Test3R: Learning to Reconstruct 3D at Test Time","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T00:32:08.399100Z"},"links":{"cited_paper":"/paper/1812.04605","citing_paper":"/paper/2506.13750"},"observation_digest":"sha256:6b3c2f02b791fe7e6f01c4740e041b289b78ccedb549ef93f285f9a6aae96da3","observation_id":"ba02c823-0148-4038-b47a-6c42f662e34a","resolution":{"observed_at":"2026-08-07T00:32:08.399100Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.04605","last_updated":"2020-04-27T19:17:43Z","snapshot_observed_at":"2026-07-06T07:20:36.957156Z","submitted_at":"2018-12-11T18:47:12Z","title":"DeepV2D: Video to Depth with Differentiable Structure from Motion","version":4},"cited_work":{"arxiv_id":"1812.04605","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1812.04605","snapshot_observed_at":"2026-07-01T14:55:48.212630Z","title":"arXiv preprint arXiv:1812.04605 , year =","venue":null,"work_id":"2824f98a-b3db-4cd7-b5cc-6e20ad22b430","year":2018},"citing_paper":{"arxiv_id":"2507.16443","last_updated":"2026-03-16T08:45:25Z","snapshot_observed_at":"2026-08-04T13:08:09.273271Z","submitted_at":"2025-07-22T10:39:04Z","title":"VGGT-Long: Chunk it, Loop it, Align it -- Pushing VGGT's Limits on Kilometer-scale Long RGB Sequences","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-17T08:55:00.494249Z"},"links":{"cited_paper":"/paper/1812.04605","citing_paper":"/paper/2507.16443"},"observation_digest":"sha256:781ce37c5fd78b8d21608ef81ddb4a1d42020822dca1374acaa180f7db822272","observation_id":"c3239d00-16ea-4997-909e-e2b2bc3a112a","resolution":{"observed_at":"2026-05-17T08:55:00.569939Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.04605","last_updated":"2020-04-27T19:17:43Z","snapshot_observed_at":"2026-07-06T07:20:36.957156Z","submitted_at":"2018-12-11T18:47:12Z","title":"DeepV2D: Video to Depth with Differentiable Structure from Motion","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.04605","snapshot_observed_at":"2026-08-06T13:02:29.430240Z","title":"Deepv2d: Video to depth with differen- tiable structure from motion,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.21045","last_updated":"2025-08-03T14:18:19Z","snapshot_observed_at":"2026-08-07T20:14:50.999165Z","submitted_at":"2025-07-28T17:59:02Z","title":"Reconstructing 4D Spatial Intelligence: A Survey","version":2},"reference_index":192,"source":"pdf_text","source_observed_at":"2026-08-06T13:02:29.430240Z"},"links":{"cited_paper":"/paper/1812.04605","citing_paper":"/paper/2507.21045"},"observation_digest":"sha256:6308e12c22e8d3951f5adb9299afed6f84b9e0de9826e44a3b96f409a67ab77e","observation_id":"a3245a00-2473-4f75-933d-a41aa87ebc4c","resolution":{"observed_at":"2026-08-06T13:02:29.430240Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.04605","last_updated":"2020-04-27T19:17:43Z","snapshot_observed_at":"2026-07-06T07:20:36.957156Z","submitted_at":"2018-12-11T18:47:12Z","title":"DeepV2D: Video to Depth with Differentiable Structure from Motion","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.04605","snapshot_observed_at":"2026-08-05T17:22:49.851964Z","title":"Deepv2d: Video to depth with differentiable structure from motion","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.16433","last_updated":"2025-08-22T14:43:18Z","snapshot_observed_at":"2026-08-06T13:54:01.463089Z","submitted_at":"2025-08-22T14:43:18Z","title":"HAMSt3R: Human-Aware Multi-view Stereo 3D Reconstruction","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-05T17:22:49.851964Z"},"links":{"cited_paper":"/paper/1812.04605","citing_paper":"/paper/2508.16433"},"observation_digest":"sha256:9c0a74b05101a98906499f61834c07ee683b202c93ec9759c8d4692ee8fc1396","observation_id":"4b35b1d8-30b4-4af9-82a9-3caea8ae2f62","resolution":{"observed_at":"2026-08-05T17:22:49.851964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.04605","last_updated":"2020-04-27T19:17:43Z","snapshot_observed_at":"2026-07-06T07:20:36.957156Z","submitted_at":"2018-12-11T18:47:12Z","title":"DeepV2D: Video to Depth with Differentiable Structure from Motion","version":4},"cited_work":{"arxiv_id":"1812.04605","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1812.04605","snapshot_observed_at":"2026-07-01T14:55:48.212630Z","title":"arXiv preprint arXiv:1812.04605 , year =","venue":null,"work_id":"2824f98a-b3db-4cd7-b5cc-6e20ad22b430","year":2018},"citing_paper":{"arxiv_id":"2511.10647","last_updated":"2025-11-13T18:59:53Z","snapshot_observed_at":"2026-07-06T22:35:46.018050Z","submitted_at":"2025-11-13T18:59:53Z","title":"Depth Anything 3: Recovering the Visual Space from Any Views","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-05-11T02:07:59.160853Z"},"links":{"cited_paper":"/paper/1812.04605","citing_paper":"/paper/2511.10647"},"observation_digest":"sha256:093b2ce475d5e49ca66aaac4a62cced49890add302b4e73a0bede7ddd7d14426","observation_id":"c9919501-bac5-4b89-841b-9b6ec5d76640","resolution":{"observed_at":"2026-05-11T02:07:59.213225Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.04605","last_updated":"2020-04-27T19:17:43Z","snapshot_observed_at":"2026-07-06T07:20:36.957156Z","submitted_at":"2018-12-11T18:47:12Z","title":"DeepV2D: Video to Depth with Differentiable Structure from Motion","version":4},"cited_work":{"arxiv_id":"1812.04605","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1812.04605","snapshot_observed_at":"2026-07-01T14:55:48.212630Z","title":"arXiv preprint arXiv:1812.04605 , year =","venue":null,"work_id":"2824f98a-b3db-4cd7-b5cc-6e20ad22b430","year":2018},"citing_paper":{"arxiv_id":"2604.06830","last_updated":"2026-04-08T08:48:48Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T08:48:48Z","title":"VGGT-SLAM++","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-10T17:44:51.395308Z"},"links":{"cited_paper":"/paper/1812.04605","citing_paper":"/paper/2604.06830"},"observation_digest":"sha256:7dcefd0e1a329f6263f9c6336b867cc752fe8d2445157e1c08fb11831e898895","observation_id":"6bf28a3f-04d4-4abb-a732-ab92dc73e9d0","resolution":{"observed_at":"2026-05-11T06:15:56.626723Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.04605","last_updated":"2020-04-27T19:17:43Z","snapshot_observed_at":"2026-07-06T07:20:36.957156Z","submitted_at":"2018-12-11T18:47:12Z","title":"DeepV2D: Video to Depth with Differentiable Structure from Motion","version":4},"cited_work":{"arxiv_id":"1812.04605","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1812.04605","snapshot_observed_at":"2026-07-01T14:55:48.212630Z","title":"arXiv preprint arXiv:1812.04605 , year =","venue":null,"work_id":"2824f98a-b3db-4cd7-b5cc-6e20ad22b430","year":2018},"citing_paper":{"arxiv_id":"2604.22339","last_updated":"2026-04-28T08:36:34Z","snapshot_observed_at":"2026-07-06T23:08:47.078992Z","submitted_at":"2026-04-24T08:13:01Z","title":"Flow4DGS-SLAM: Optical Flow-Guided 4D Gaussian Splatting SLAM","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-08T12:31:08.076992Z"},"links":{"cited_paper":"/paper/1812.04605","citing_paper":"/paper/2604.22339"},"observation_digest":"sha256:2dd5e2b640e540082e3a626fc34203e4860a8eb94de5f461da79f02d2ec78e4e","observation_id":"f7bf05f4-a20d-4303-9062-6e3f1954bb31","resolution":{"observed_at":"2026-05-11T19:16:06.804729Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.04605","last_updated":"2020-04-27T19:17:43Z","snapshot_observed_at":"2026-07-06T07:20:36.957156Z","submitted_at":"2018-12-11T18:47:12Z","title":"DeepV2D: Video to Depth with Differentiable Structure from Motion","version":4},"cited_work":{"arxiv_id":"1812.04605","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1812.04605","snapshot_observed_at":"2026-07-01T14:55:48.212630Z","title":"arXiv preprint arXiv:1812.04605 , year =","venue":null,"work_id":"2824f98a-b3db-4cd7-b5cc-6e20ad22b430","year":2018},"citing_paper":{"arxiv_id":"2605.08320","last_updated":"2026-05-08T16:20:10Z","snapshot_observed_at":"2026-07-06T23:20:33.816373Z","submitted_at":"2026-05-08T16:20:10Z","title":"Improved monocular depth prediction using distance transform over pre-semantic contours with self-supervised neural networks","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-12T00:52:45.264450Z"},"links":{"cited_paper":"/paper/1812.04605","citing_paper":"/paper/2605.08320"},"observation_digest":"sha256:f07d955bde5c32bbc1f4127f2e9e421d9698f3813a9f8f54aed7b14e10674d15","observation_id":"0c940996-bfc6-4575-90f3-1a3c097b28c0","resolution":{"observed_at":"2026-05-12T08:36:26.856330Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.04605","last_updated":"2020-04-27T19:17:43Z","snapshot_observed_at":"2026-07-06T07:20:36.957156Z","submitted_at":"2018-12-11T18:47:12Z","title":"DeepV2D: Video to Depth with Differentiable Structure from Motion","version":4},"cited_work":{"arxiv_id":"1812.04605","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1812.04605","snapshot_observed_at":"2026-07-01T14:55:48.212630Z","title":"arXiv preprint arXiv:1812.04605 , year =","venue":null,"work_id":"2824f98a-b3db-4cd7-b5cc-6e20ad22b430","year":2018},"citing_paper":{"arxiv_id":"2605.19257","last_updated":"2026-06-23T02:18:58Z","snapshot_observed_at":"2026-08-03T22:17:37.954358Z","submitted_at":"2026-05-19T02:10:04Z","title":"PRISM-SLAM: Probabilistic Ray-Grounded Inference for Scale-aware Metric SLAM","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-05-20T06:08:41.482207Z"},"links":{"cited_paper":"/paper/1812.04605","citing_paper":"/paper/2605.19257"},"observation_digest":"sha256:27b221ea8eb1f88775a70b2b1be184c76fa4238c6d5aad2541d5f50630624aba","observation_id":"9ab9df49-cdb6-4292-9e46-bcb04a7d39c4","resolution":{"observed_at":"2026-05-20T06:13:05.459892Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.04605","last_updated":"2020-04-27T19:17:43Z","snapshot_observed_at":"2026-07-06T07:20:36.957156Z","submitted_at":"2018-12-11T18:47:12Z","title":"DeepV2D: Video to Depth with Differentiable Structure from Motion","version":4},"cited_work":{"arxiv_id":"1812.04605","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1812.04605","snapshot_observed_at":"2026-07-01T14:55:48.212630Z","title":"arXiv preprint arXiv:1812.04605 , year =","venue":null,"work_id":"2824f98a-b3db-4cd7-b5cc-6e20ad22b430","year":2018},"citing_paper":{"arxiv_id":"2605.19257","last_updated":"2026-06-23T02:18:58Z","snapshot_observed_at":"2026-08-03T22:17:37.954358Z","submitted_at":"2026-05-19T02:10:04Z","title":"PRISM-SLAM: Probabilistic Ray-Grounded Inference for Scale-aware Metric SLAM","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-30T18:38:27.293012Z"},"links":{"cited_paper":"/paper/1812.04605","citing_paper":"/paper/2605.19257"},"observation_digest":"sha256:1925f973aa45ffb71640a0ab23581205d2a0be76e067d905fc902fe7db6271c6","observation_id":"469a10fd-0f9f-4e22-96bd-721a14e56c0d","resolution":{"observed_at":"2026-07-01T14:55:48.214046Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.04605","last_updated":"2020-04-27T19:17:43Z","snapshot_observed_at":"2026-07-06T07:20:36.957156Z","submitted_at":"2018-12-11T18:47:12Z","title":"DeepV2D: Video to Depth with Differentiable Structure from Motion","version":4},"cited_work":{"arxiv_id":"1812.04605","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1812.04605","snapshot_observed_at":"2026-07-01T14:55:48.212630Z","title":"arXiv preprint arXiv:1812.04605 , year =","venue":null,"work_id":"2824f98a-b3db-4cd7-b5cc-6e20ad22b430","year":2018},"citing_paper":{"arxiv_id":"2605.19727","last_updated":"2026-05-19T12:01:23Z","snapshot_observed_at":"2026-08-05T15:20:30.958814Z","submitted_at":"2026-05-19T12:01:23Z","title":"Tango3D: Towards Alignment for Global and Local 2D-3D Correspondence","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-20T05:47:51.155743Z"},"links":{"cited_paper":"/paper/1812.04605","citing_paper":"/paper/2605.19727"},"observation_digest":"sha256:50a60dc17180eca1c7e5d54cebf31da27cd43b80fe0d438034b64666fd142d59","observation_id":"dee4606c-1575-49c3-93d6-678b8bcc12b4","resolution":{"observed_at":"2026-05-20T05:48:04.286985Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.04605","last_updated":"2020-04-27T19:17:43Z","snapshot_observed_at":"2026-07-06T07:20:36.957156Z","submitted_at":"2018-12-11T18:47:12Z","title":"DeepV2D: Video to Depth with Differentiable Structure from Motion","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.04605","snapshot_observed_at":"2026-07-13T01:21:15.228734Z","title":"Deepv2d: Video to depth with differentiable structure from motion.arXiv preprint arXiv:1812.04605, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.09225","last_updated":"2026-07-10T09:18:35Z","snapshot_observed_at":"2026-08-03T17:26:56.605851Z","submitted_at":"2026-07-10T09:18:35Z","title":"Glob3R: Global Structure-from-Motion with 3D Foundation Models","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-07-13T01:21:15.228734Z"},"links":{"cited_paper":"/paper/1812.04605","citing_paper":"/paper/2607.09225"},"observation_digest":"sha256:a544f2bd6ad6583b7d87b5e174049a0608c9d8dd6e1f2e7be2ec0b275f09c84f","observation_id":"459df366-3abf-4c5e-be7c-f10592402740","resolution":{"observed_at":"2026-07-13T01:21:15.228734Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1812.04605/citation-record","integrity":"/paper/1812.04605/integrity","json":"/paper/1812.04605/citation-record.json","paper":"/paper/1812.04605"},"outbound":[],"paper":{"arxiv_id":"1812.04605","last_updated":"2020-04-27T19:17:43Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T07:20:36.957156Z","submitted_at":"2018-12-11T18:47:12Z","title":"DeepV2D: Video to Depth with Differentiable Structure from Motion"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:1812.04605."}