{"as_of":"2026-08-22T00:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:305b247f1a5d7cb362283919839db0ed2295addf3a38951c96ffe434e5742ba8","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:38:59.204934Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.04758/citation-record","integrity":"/paper/2506.04758/integrity","json":"/paper/2506.04758/citation-record.json","paper":"/paper/2506.04758"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:39:03.012536Z","title":"In: NeurIPS (2019)","venue":null,"work_id":"a5a6c14d-e8a2-4d95-bc72-bbb0d7be3000","year":2019},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:55.706311Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:4c4940ba03394ff85e8765065a08bae59e0fda4fa7ceff704f40380f41602ae1","observation_id":"8514f44e-6f59-4528-82ac-8a960c436df1","resolution":{"observed_at":"2026-08-07T10:39:03.121091Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:55.858342Z","title":"IEEE T-MM23, 761–771 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:55.858342Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:25678eb5460ec6da7fab097cecdeadc53f9e793c2980408f80ac787b95ae19c1","observation_id":"d3ca9ded-084d-433f-9ab3-7743e90e9bbe","resolution":{"observed_at":"2026-08-07T10:38:55.858342Z","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":"2026-08-07T10:39:02.734734Z","title":"Pattern Recognition136, 109262 (2023)","venue":null,"work_id":"8987647f-a676-4016-9d2b-175e5fbf6193","year":2023},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:56.010677Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:f9f00a1e1427629790f865803c6aafa570ec0c260ba29e4c76c02e5b45ae7c72","observation_id":"1b875e02-afa4-4152-90bc-6d8e88571217","resolution":{"observed_at":"2026-08-07T10:39:02.890185Z","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":"2026-08-07T10:39:02.483856Z","title":"In: ICCV (2015)","venue":null,"work_id":"d22e123f-4d13-4291-acab-861a58d1b94b","year":2015},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:56.159616Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:172f6796dd936a88662014ca6184222b7343b8baf293a07413e770ae1463b223","observation_id":"509f3c2b-31bb-4d16-8ba0-30d004c65d3e","resolution":{"observed_at":"2026-08-07T10:39:02.624900Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:56.269725Z","title":"In: NeurIPS (2014)","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:56.269725Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:f0ab7974c4aa33c5d5aa79a324ed3b6ef00d445ed67e255b1eaf5e64653b7506","observation_id":"84aa9dab-9b5e-4b45-b918-34c41c77aff9","resolution":{"observed_at":"2026-08-07T10:38:56.269725Z","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":"2026-08-07T10:39:02.206381Z","title":"IJRR (2013)","venue":null,"work_id":"e2690267-cf27-438e-992a-11bb4f46311c","year":2013},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:56.416459Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:b33ad5eee10e5fcb050bd8ca9a655d4f24758b3ca156d2beba4044a505060e58","observation_id":"9549d440-3146-4596-aff0-c8d657813881","resolution":{"observed_at":"2026-08-07T10:39:02.329527Z","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":"2026-08-07T10:39:02.028990Z","title":"In: ICCV (2019) 12 Y","venue":null,"work_id":"77f9c546-3c68-49d6-88b8-9e5f2255a649","year":2019},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:56.532483Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:15584e211bd2213b4b0706fe993ae24e8d43d660650a37ec1dcf6d8d0ffe4ef0","observation_id":"99400766-08f3-4998-bbc8-26ecaa0af6e2","resolution":{"observed_at":"2026-08-07T10:39:02.086533Z","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":"2026-08-07T10:39:01.878945Z","title":"Nature585(7825), 357–362 (2020)","venue":null,"work_id":"7e0a2687-5c3f-4bc7-a82a-489272945c63","year":2020},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:56.674899Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:1de07a68241fbe791130e4e23281130ed7fcaf803bcacbbf19a402953e19e52f","observation_id":"13410d31-ccb3-44f7-8fbe-67ef117938c5","resolution":{"observed_at":"2026-08-07T10:39:01.935978Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:56.774234Z","title":"In: CVPR (2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:56.774234Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:db804ec4ca79b41b270f0d93fa272d04d68c119b682dbccd7ce20913fe167b49","observation_id":"e9c946a1-2b9b-4288-8648-e4fe5441c14f","resolution":{"observed_at":"2026-08-07T10:38:56.774234Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:56.900972Z","title":"In: WACV","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:56.900972Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:599e9431412cfd4238b419d8765a1e53b93d0b932acde9f68e3bce597e1fc5d5","observation_id":"d51426cd-3304-4a1c-bfa4-2ca8e0cf5eb0","resolution":{"observed_at":"2026-08-07T10:38:56.900972Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:57.081735Z","title":"In: ICLR (2015)","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:57.081735Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:eca6d60b2654cc3dcd8424f2317979ba55d1033b8dd8eba7ead272160c2aa06e","observation_id":"d8040a68-d20b-47c9-bf98-fbf47a722b53","resolution":{"observed_at":"2026-08-07T10:38:57.081735Z","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":"2026-08-07T10:39:01.661408Z","title":"In: ICLR (2023)","venue":null,"work_id":"b99df988-a3e1-4349-9dab-9f772be6801c","year":2023},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:57.204278Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:3cda0b94cfffd1b37426257ba61e8569cb9593a0c1a22e4675c57bdfd26d393b","observation_id":"549d7576-81bb-4605-809b-f67650705bb9","resolution":{"observed_at":"2026-08-07T10:39:01.751366Z","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":"2019.29302","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:59.447607Z","title":"IEEE T-PAMI42(10), 2624–2641 (2020)","venue":null,"work_id":"5611ef23-e3f8-48c7-bc35-dbea600ba84b","year":2020},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:57.318054Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:36a8d7764b93975902da6ab081321d3a93fa09a85a72270df95cffc22900ab70","observation_id":"334eb998-2834-4ff9-9c77-83d6bd875bdd","resolution":{"observed_at":"2026-08-07T10:38:59.574852Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:57.474836Z","title":"In: NeurIPS (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:57.474836Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:2611c6a810bfe6d91d41d45decd0f7b86c751cb4a386ed01fa4de64d1df87b1e","observation_id":"5f5bf5f2-f0bd-4f00-b41f-4657cc172650","resolution":{"observed_at":"2026-08-07T10:38:57.474836Z","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":"2026-08-07T10:39:01.530360Z","title":"International Journal of Computer Vision129(8), 2352–2374 (2021)","venue":null,"work_id":"3662890f-e7e6-446f-bb46-7936ccf4f078","year":2021},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:57.606039Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:b69c9d3975c5a9bd57d658554e55e4723f6bb7da0c748bda1dfc05e3f9171ee4","observation_id":"58bd99e5-f816-42ab-a886-5a1b5d2791bb","resolution":{"observed_at":"2026-08-07T10:39:01.596231Z","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":"2026-08-07T10:39:01.381079Z","title":"In: CVPR (2019)","venue":null,"work_id":"12c4ce03-5369-4dfa-b63b-fba78d3b2407","year":2019},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:57.742722Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:a54ffde094b8889817fc22e8ad7cd5dd801ae5fa1f7fe131abcfab8719d283c8","observation_id":"41d5268a-cdcc-44b9-84a9-be84107e0fe6","resolution":{"observed_at":"2026-08-07T10:39:01.460423Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:57.879953Z","title":"In: CVPR","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:57.879953Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:73e8759c29e9b5a5ce52b517e598a11ef6761dc63f5cae06295bd431e84c6fb3","observation_id":"f1837c0a-ae0e-45a0-a3e5-248e1e10f712","resolution":{"observed_at":"2026-08-07T10:38:57.879953Z","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":"2026-08-07T10:39:01.202535Z","title":"IEEE Transactions on Circuits and Systems for Video Technology (2022)","venue":null,"work_id":"8eb956ea-a521-4239-bfa5-2ab76ee07cc5","year":2022},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:58.011914Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:418611c78f2b23e81ab48577332f97aad64dc19ad9ed29a145546e240d5e4878","observation_id":"b322d4f0-ba32-4c2b-bd16-76ba47906c9d","resolution":{"observed_at":"2026-08-07T10:39:01.273811Z","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":"2026-08-07T10:39:01.073726Z","title":"In: CVPR (2020)","venue":null,"work_id":"8d01854d-4fc6-4c08-a96b-f1ed922f2f1b","year":2020},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:58.136773Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:2890fcabe0f49fee16569d4a32b131912f293ed7d8819ca06dc10dbbe27e5a9b","observation_id":"80a71be5-da1d-4dad-a5da-23ce73d41d43","resolution":{"observed_at":"2026-08-07T10:39:01.142195Z","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":"2026-08-07T10:39:00.916038Z","title":"In: CVPR (2018)","venue":null,"work_id":"3eea4bf6-6dbb-4680-a86b-33a314d99343","year":2018},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:58.246514Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:295ce7c2f759db7d7270d522007b845a9ba5390936c159780f0588c95bcce3b8","observation_id":"85dab645-48ad-4818-953f-56c395b14043","resolution":{"observed_at":"2026-08-07T10:39:01.028132Z","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":"2026-08-07T10:39:00.809478Z","title":"In: CVPR","venue":null,"work_id":"e81d1d0d-bbb1-481a-a40a-10f040093448","year":2022},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:58.414532Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:87e3c9c601cc7ae5a7d5ef45b78efccc9fd000b6a2c940a5c058c764907aab5a","observation_id":"61f0fd27-e991-4062-aabb-7def4b7ca9b0","resolution":{"observed_at":"2026-08-07T10:39:00.846969Z","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":"2026-08-07T10:39:00.672233Z","title":"In: CVPR (2020)","venue":null,"work_id":"412cf268-561c-4bad-af68-f6fa454522d8","year":2020},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:58.530062Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:5c13242327583a91403aabe7b5605dc89f9045efeaff408ca9522d2a13f63bbf","observation_id":"6e854c56-1afd-4f85-ba24-b5f18cc2106f","resolution":{"observed_at":"2026-08-07T10:39:00.723329Z","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":"2026-08-07T10:39:00.521919Z","title":"In: CVPR (2017)","venue":null,"work_id":"2a3d3795-ceea-4c47-9c5c-4a318d54235c","year":2017},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:58.681276Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:8ccc33b97112bae4ae60b4abb0ac0236a386f301fe3ac3bb838b97c6627d80e6","observation_id":"2c28a38b-7d80-4ee6-8e73-334acab05f99","resolution":{"observed_at":"2026-08-07T10:39:00.592175Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:58.824612Z","title":"IEEE T-IP13(4), 600–612 (2004)","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:58.824612Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:dca6e7ce41e1fb5494c22e678785f280702c7d8ec90a2fa9e7ed73c009c07f36","observation_id":"c7acd42e-7c6a-43d5-bc35-12c6da701e78","resolution":{"observed_at":"2026-08-07T10:38:58.824612Z","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":"2026-08-07T10:39:00.304900Z","title":"In: CVPR","venue":null,"work_id":"bd74e102-1fac-487f-85d7-3b13b81bb964","year":2022},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:58.971749Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:63f07f5fb875ede677e7bf607ae486430e852ba6d82fc554f6e07aefaeadb0d9","observation_id":"736dc8be-06cb-4060-b524-74f8f60e7ae3","resolution":{"observed_at":"2026-08-07T10:39:00.453977Z","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":"2026-08-07T10:38:59.980035Z","title":"In: ICCV","venue":null,"work_id":"93688dff-2f21-4a29-a161-e2d25cdc75c9","year":2015},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:59.105717Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:2c3725873d3b003119f7d51a2f2f2fed409a5bbbd1d5290bd7356f7b29a9ed4b","observation_id":"4fc23776-5c13-4c18-b5c2-424568288616","resolution":{"observed_at":"2026-08-07T10:39:00.141246Z","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":"2026-08-07T10:38:59.746903Z","title":"In: ECCV (2018)","venue":null,"work_id":"acadec4b-55ae-4483-8783-9fb6a958e4dc","year":2018},"citing_paper":{"arxiv_id":"2506.04758","last_updated":"2025-06-05T08:43:24Z","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:59.204934Z"},"links":{"citing_paper":"/paper/2506.04758"},"observation_digest":"sha256:4f337dcc9b6d0353b2a969a2732ac3fc7ddc5d7e339a5ba01ac77a62b27cf6fd","observation_id":"e1d96e32-adab-41b9-b3b2-fe9423aed842","resolution":{"observed_at":"2026-08-07T10:38:59.882437Z","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":"2506.04758","last_updated":"2025-06-05T08:43:24Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T10:31:13.522293Z","submitted_at":"2025-06-05T08:43:24Z","title":"Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":8,"verified_exact":0,"verified_fuzzy":18},"total_outbound_references":27},"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 22 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2506.04758."}