{"as_of":"2026-08-11T11:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c43a58e09561acec4fbe1fa819623a86f9ff24970a16f1b0c35bbc2874c4876e","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":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":15,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:23:14.982119Z","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":"2026-07-04T19:30:06.760015Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2108.08600","last_updated":"2021-08-19T10:13:55Z","snapshot_observed_at":"2026-08-11T00:09:27.107585Z","submitted_at":"2021-08-19T10:13:55Z","title":"Semantic Compositional Learning for Low-shot Scene Graph Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.08600","snapshot_observed_at":"2026-08-06T19:23:14.982119Z","title":"Semantic compositional learning for low-shot scene graph generation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.05798","last_updated":"2025-07-08T09:03:24Z","snapshot_observed_at":"2026-08-10T13:29:22.479120Z","submitted_at":"2025-07-08T09:03:24Z","title":"SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:14.982119Z"},"links":{"cited_paper":"/paper/2108.08600","citing_paper":"/paper/2507.05798"},"observation_digest":"sha256:be83dc8a1597539b8bd88aa9cb22e767fcaf5040ccf41e17d7411284e71db7ca","observation_id":"d319bbd3-3677-4553-bfeb-b1b40f6c5861","resolution":{"observed_at":"2026-08-06T19:23:14.982119Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.08600","last_updated":"2021-08-19T10:13:55Z","snapshot_observed_at":"2026-08-11T00:09:27.107585Z","submitted_at":"2021-08-19T10:13:55Z","title":"Semantic Compositional Learning for Low-shot Scene Graph Generation","version":1},"cited_work":{"arxiv_id":"2108.08600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.08600","snapshot_observed_at":"2026-07-04T19:30:06.760015Z","title":"and Gao, L","venue":null,"work_id":"b332ce81-1075-4d45-a067-a8404fa607aa","year":2021},"citing_paper":{"arxiv_id":"2604.22274","last_updated":"2026-05-26T01:36:36Z","snapshot_observed_at":"2026-07-06T23:08:42.301487Z","submitted_at":"2026-04-24T06:34:45Z","title":"CAGE-SGG: Counterfactual Active Graph Evidence for Open-Vocabulary Scene Graph Generation","version":5},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-08T12:32:34.577447Z"},"links":{"cited_paper":"/paper/2108.08600","citing_paper":"/paper/2604.22274"},"observation_digest":"sha256:0a4e7250eabb3b6dbfb84cd7c30490f313886768e84b638b47a14282c90b274a","observation_id":"47dcf417-abb7-413b-bad2-f03e2d70414e","resolution":{"observed_at":"2026-05-11T19:06:12.323347Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.08600","last_updated":"2021-08-19T10:13:55Z","snapshot_observed_at":"2026-08-11T00:09:27.107585Z","submitted_at":"2021-08-19T10:13:55Z","title":"Semantic Compositional Learning for Low-shot Scene Graph Generation","version":1},"cited_work":{"arxiv_id":"2108.08600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.08600","snapshot_observed_at":"2026-07-04T19:30:06.760015Z","title":"and Gao, L","venue":null,"work_id":"b332ce81-1075-4d45-a067-a8404fa607aa","year":2021},"citing_paper":{"arxiv_id":"2604.22274","last_updated":"2026-05-26T01:36:36Z","snapshot_observed_at":"2026-07-06T23:08:42.301487Z","submitted_at":"2026-04-24T06:34:45Z","title":"CAGE-SGG: Counterfactual Active Graph Evidence for Open-Vocabulary Scene Graph Generation","version":6},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-13T07:56:07.481832Z"},"links":{"cited_paper":"/paper/2108.08600","citing_paper":"/paper/2604.22274"},"observation_digest":"sha256:d5f87840dcdd258e03899981d7265726969e572aa451e333c06a462956295234","observation_id":"e90e7327-074f-47ab-8d97-611000fe3896","resolution":{"observed_at":"2026-05-13T07:57:31.392670Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.08600","last_updated":"2021-08-19T10:13:55Z","snapshot_observed_at":"2026-08-11T00:09:27.107585Z","submitted_at":"2021-08-19T10:13:55Z","title":"Semantic Compositional Learning for Low-shot Scene Graph Generation","version":1},"cited_work":{"arxiv_id":"2108.08600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.08600","snapshot_observed_at":"2026-07-04T19:30:06.760015Z","title":"and Gao, L","venue":null,"work_id":"b332ce81-1075-4d45-a067-a8404fa607aa","year":2021},"citing_paper":{"arxiv_id":"2604.22274","last_updated":"2026-05-26T01:36:36Z","snapshot_observed_at":"2026-07-06T23:08:42.301487Z","submitted_at":"2026-04-24T06:34:45Z","title":"CAGE-SGG: Counterfactual Active Graph Evidence for Open-Vocabulary Scene Graph Generation","version":7},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-04T19:21:45.600655Z"},"links":{"cited_paper":"/paper/2108.08600","citing_paper":"/paper/2604.22274"},"observation_digest":"sha256:daaf8247ab54add3a46943384a582c804dd123ea2b8e0df04f490b02b4505ed8","observation_id":"f02539b8-c345-455a-8fd7-3976c44691ac","resolution":{"observed_at":"2026-07-04T19:30:06.762007Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.08600","last_updated":"2021-08-19T10:13:55Z","snapshot_observed_at":"2026-08-11T00:09:27.107585Z","submitted_at":"2021-08-19T10:13:55Z","title":"Semantic Compositional Learning for Low-shot Scene Graph Generation","version":1},"cited_work":{"arxiv_id":"2108.08600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.08600","snapshot_observed_at":"2026-07-04T19:30:06.760015Z","title":"and Gao, L","venue":null,"work_id":"b332ce81-1075-4d45-a067-a8404fa607aa","year":2021},"citing_paper":{"arxiv_id":"2604.22546","last_updated":"2026-05-26T01:38:17Z","snapshot_observed_at":"2026-08-03T07:00:19.319927Z","submitted_at":"2026-04-24T13:36:41Z","title":"ReLIC-SGG: Relation Lattice Completion for Open-Vocabulary Scene Graph Generation","version":4},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-08T12:32:21.727458Z"},"links":{"cited_paper":"/paper/2108.08600","citing_paper":"/paper/2604.22546"},"observation_digest":"sha256:1e9037d151cb667ef2da2faaa10fa5e4e51fc0b62c6f3588a71832d990601473","observation_id":"9b72232d-6746-416c-a78e-dd3e8ff75d84","resolution":{"observed_at":"2026-05-11T19:06:12.357797Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.08600","last_updated":"2021-08-19T10:13:55Z","snapshot_observed_at":"2026-08-11T00:09:27.107585Z","submitted_at":"2021-08-19T10:13:55Z","title":"Semantic Compositional Learning for Low-shot Scene Graph Generation","version":1},"cited_work":{"arxiv_id":"2108.08600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.08600","snapshot_observed_at":"2026-07-04T19:30:06.760015Z","title":"and Gao, L","venue":null,"work_id":"b332ce81-1075-4d45-a067-a8404fa607aa","year":2021},"citing_paper":{"arxiv_id":"2604.22546","last_updated":"2026-05-26T01:38:17Z","snapshot_observed_at":"2026-08-03T07:00:19.319927Z","submitted_at":"2026-04-24T13:36:41Z","title":"ReLIC-SGG: Relation Lattice Completion for Open-Vocabulary Scene Graph Generation","version":5},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-14T21:30:26.668638Z"},"links":{"cited_paper":"/paper/2108.08600","citing_paper":"/paper/2604.22546"},"observation_digest":"sha256:496eac50a892b9b625cfd691c63ecc25235e9efce593ab798fe71c440d12b539","observation_id":"6ac0a8bc-99aa-40bc-a3fb-668f2bd3caea","resolution":{"observed_at":"2026-05-14T21:32:59.757635Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.08600","last_updated":"2021-08-19T10:13:55Z","snapshot_observed_at":"2026-08-11T00:09:27.107585Z","submitted_at":"2021-08-19T10:13:55Z","title":"Semantic Compositional Learning for Low-shot Scene Graph Generation","version":1},"cited_work":{"arxiv_id":"2108.08600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.08600","snapshot_observed_at":"2026-07-04T19:30:06.760015Z","title":"and Gao, L","venue":null,"work_id":"b332ce81-1075-4d45-a067-a8404fa607aa","year":2021},"citing_paper":{"arxiv_id":"2604.22546","last_updated":"2026-05-26T01:38:17Z","snapshot_observed_at":"2026-08-03T07:00:19.319927Z","submitted_at":"2026-04-24T13:36:41Z","title":"ReLIC-SGG: Relation Lattice Completion for Open-Vocabulary Scene Graph Generation","version":6},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-04T17:23:51.938266Z"},"links":{"cited_paper":"/paper/2108.08600","citing_paper":"/paper/2604.22546"},"observation_digest":"sha256:aca7a411ce5ea4a87bae03e6c783a12a25ba3a39be950803023fb5aec3b8a147","observation_id":"ee51fc66-51d3-42ee-8052-4f764f529e7e","resolution":{"observed_at":"2026-07-04T17:29:59.635907Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.08600","last_updated":"2021-08-19T10:13:55Z","snapshot_observed_at":"2026-08-11T00:09:27.107585Z","submitted_at":"2021-08-19T10:13:55Z","title":"Semantic Compositional Learning for Low-shot Scene Graph Generation","version":1},"cited_work":{"arxiv_id":"2108.08600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.08600","snapshot_observed_at":"2026-07-04T19:30:06.760015Z","title":"and Gao, L","venue":null,"work_id":"b332ce81-1075-4d45-a067-a8404fa607aa","year":2021},"citing_paper":{"arxiv_id":"2605.05057","last_updated":"2026-05-31T03:58:08Z","snapshot_observed_at":"2026-07-06T23:17:43.402046Z","submitted_at":"2026-05-06T15:52:35Z","title":"ScriptHOI: Learning Scripted State Transitions for Open-Vocabulary Human-Object Interaction Detection","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-08T17:28:33.908120Z"},"links":{"cited_paper":"/paper/2108.08600","citing_paper":"/paper/2605.05057"},"observation_digest":"sha256:9f4d8e5d3f0a5a5917c5f0e43b40bd63a4a1e22b27ac784ef1b04810c89444fb","observation_id":"6233cac0-1d2e-4fc4-843e-b602b6bca1cd","resolution":{"observed_at":"2026-05-11T17:31:08.666723Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.08600","last_updated":"2021-08-19T10:13:55Z","snapshot_observed_at":"2026-08-11T00:09:27.107585Z","submitted_at":"2021-08-19T10:13:55Z","title":"Semantic Compositional Learning for Low-shot Scene Graph Generation","version":1},"cited_work":{"arxiv_id":"2108.08600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.08600","snapshot_observed_at":"2026-07-04T19:30:06.760015Z","title":"and Gao, L","venue":null,"work_id":"b332ce81-1075-4d45-a067-a8404fa607aa","year":2021},"citing_paper":{"arxiv_id":"2605.05057","last_updated":"2026-05-31T03:58:08Z","snapshot_observed_at":"2026-07-06T23:17:43.402046Z","submitted_at":"2026-05-06T15:52:35Z","title":"ScriptHOI: Learning Scripted State Transitions for Open-Vocabulary Human-Object Interaction Detection","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-13T01:42:46.650539Z"},"links":{"cited_paper":"/paper/2108.08600","citing_paper":"/paper/2605.05057"},"observation_digest":"sha256:1e13b74be5e48137d60b8062dc63af07390cb36a9cd80816844d9d91a786f8d7","observation_id":"79ed86ed-de16-4263-b79d-dccc206aa22a","resolution":{"observed_at":"2026-05-13T01:47:04.458923Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.08600","last_updated":"2021-08-19T10:13:55Z","snapshot_observed_at":"2026-08-11T00:09:27.107585Z","submitted_at":"2021-08-19T10:13:55Z","title":"Semantic Compositional Learning for Low-shot Scene Graph Generation","version":1},"cited_work":{"arxiv_id":"2108.08600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.08600","snapshot_observed_at":"2026-07-04T19:30:06.760015Z","title":"and Gao, L","venue":null,"work_id":"b332ce81-1075-4d45-a067-a8404fa607aa","year":2021},"citing_paper":{"arxiv_id":"2605.05057","last_updated":"2026-05-31T03:58:08Z","snapshot_observed_at":"2026-07-06T23:17:43.402046Z","submitted_at":"2026-05-06T15:52:35Z","title":"ScriptHOI: Learning Scripted State Transitions for Open-Vocabulary Human-Object Interaction Detection","version":4},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-07-01T00:04:04.891140Z"},"links":{"cited_paper":"/paper/2108.08600","citing_paper":"/paper/2605.05057"},"observation_digest":"sha256:958b6bc1be7a2bf46df7b794fac5dbce942c964b302f87bae850d409f588dbc8","observation_id":"5678f1d5-b4d1-4fec-8355-f3623c04e54d","resolution":{"observed_at":"2026-07-01T00:05:09.588633Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.08600","last_updated":"2021-08-19T10:13:55Z","snapshot_observed_at":"2026-08-11T00:09:27.107585Z","submitted_at":"2021-08-19T10:13:55Z","title":"Semantic Compositional Learning for Low-shot Scene Graph Generation","version":1},"cited_work":{"arxiv_id":"2108.08600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.08600","snapshot_observed_at":"2026-07-04T19:30:06.760015Z","title":"and Gao, L","venue":null,"work_id":"b332ce81-1075-4d45-a067-a8404fa607aa","year":2021},"citing_paper":{"arxiv_id":"2605.20606","last_updated":"2026-05-26T06:39:07Z","snapshot_observed_at":"2026-08-01T20:14:00.779648Z","submitted_at":"2026-05-20T01:49:39Z","title":"Mind Your Margin and Boundary: Are Your Distilled Datasets Truly Robust?","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-05-21T06:00:36.382942Z"},"links":{"cited_paper":"/paper/2108.08600","citing_paper":"/paper/2605.20606"},"observation_digest":"sha256:def2da2afe8506b940bacc2f46c7786c0b56ae1e427e9ef248a4c39d7603ed4d","observation_id":"2f3be3f8-310c-46ae-9fbc-a873f24a2056","resolution":{"observed_at":"2026-05-21T06:03:59.347191Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.08600","last_updated":"2021-08-19T10:13:55Z","snapshot_observed_at":"2026-08-11T00:09:27.107585Z","submitted_at":"2021-08-19T10:13:55Z","title":"Semantic Compositional Learning for Low-shot Scene Graph Generation","version":1},"cited_work":{"arxiv_id":"2108.08600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.08600","snapshot_observed_at":"2026-07-04T19:30:06.760015Z","title":"and Gao, L","venue":null,"work_id":"b332ce81-1075-4d45-a067-a8404fa607aa","year":2021},"citing_paper":{"arxiv_id":"2605.20823","last_updated":"2026-05-31T03:54:57Z","snapshot_observed_at":"2026-08-06T12:34:26.787999Z","submitted_at":"2026-05-20T07:18:56Z","title":"RelWitness: Open-Vocabulary 3D Scene Graph Generation with Visual-Geometric Relation Witnesses","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-21T05:03:42.297912Z"},"links":{"cited_paper":"/paper/2108.08600","citing_paper":"/paper/2605.20823"},"observation_digest":"sha256:088a82c889f948731a4a7c15700db8a8470db7827d5ee95a624a7bdbb46b3e81","observation_id":"f0ba1d02-3682-4ab6-8449-b6eb80454be3","resolution":{"observed_at":"2026-05-21T05:03:57.727231Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.08600","last_updated":"2021-08-19T10:13:55Z","snapshot_observed_at":"2026-08-11T00:09:27.107585Z","submitted_at":"2021-08-19T10:13:55Z","title":"Semantic Compositional Learning for Low-shot Scene Graph Generation","version":1},"cited_work":{"arxiv_id":"2108.08600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.08600","snapshot_observed_at":"2026-07-04T19:30:06.760015Z","title":"and Gao, L","venue":null,"work_id":"b332ce81-1075-4d45-a067-a8404fa607aa","year":2021},"citing_paper":{"arxiv_id":"2605.20823","last_updated":"2026-05-31T03:54:57Z","snapshot_observed_at":"2026-08-06T12:34:26.787999Z","submitted_at":"2026-05-20T07:18:56Z","title":"RelWitness: Open-Vocabulary 3D Scene Graph Generation with Visual-Geometric Relation Witnesses","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-22T09:58:09.948067Z"},"links":{"cited_paper":"/paper/2108.08600","citing_paper":"/paper/2605.20823"},"observation_digest":"sha256:bc48431683996b96be66eb898ea068654f08b60f90904bafb5a493a876d733ca","observation_id":"31a4a461-36d7-4dc9-8769-a802b5f85c05","resolution":{"observed_at":"2026-05-22T10:01:23.607148Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.08600","last_updated":"2021-08-19T10:13:55Z","snapshot_observed_at":"2026-08-11T00:09:27.107585Z","submitted_at":"2021-08-19T10:13:55Z","title":"Semantic Compositional Learning for Low-shot Scene Graph Generation","version":1},"cited_work":{"arxiv_id":"2108.08600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.08600","snapshot_observed_at":"2026-07-04T19:30:06.760015Z","title":"and Gao, L","venue":null,"work_id":"b332ce81-1075-4d45-a067-a8404fa607aa","year":2021},"citing_paper":{"arxiv_id":"2605.20823","last_updated":"2026-05-31T03:54:57Z","snapshot_observed_at":"2026-08-06T12:34:26.787999Z","submitted_at":"2026-05-20T07:18:56Z","title":"RelWitness: Open-Vocabulary 3D Scene Graph Generation with Visual-Geometric Relation Witnesses","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-30T17:23:09.724774Z"},"links":{"cited_paper":"/paper/2108.08600","citing_paper":"/paper/2605.20823"},"observation_digest":"sha256:3ddc507b136385c5fd0e976b189bc400d3b0befad7567815f01ce4187b604f06","observation_id":"e7861c80-8161-40ff-893e-f371f6008bed","resolution":{"observed_at":"2026-06-30T17:24:56.984067Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.08600","last_updated":"2021-08-19T10:13:55Z","snapshot_observed_at":"2026-08-11T00:09:27.107585Z","submitted_at":"2021-08-19T10:13:55Z","title":"Semantic Compositional Learning for Low-shot Scene Graph Generation","version":1},"cited_work":{"arxiv_id":"2108.08600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.08600","snapshot_observed_at":"2026-07-04T19:30:06.760015Z","title":"and Gao, L","venue":null,"work_id":"b332ce81-1075-4d45-a067-a8404fa607aa","year":2021},"citing_paper":{"arxiv_id":"2605.24634","last_updated":"2026-05-31T03:56:14Z","snapshot_observed_at":"2026-08-06T02:39:55.753802Z","submitted_at":"2026-05-23T15:49:16Z","title":"Resolving Ambiguity in Composed Image Retrieval via Calibrated Interaction","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-30T13:48:09.063558Z"},"links":{"cited_paper":"/paper/2108.08600","citing_paper":"/paper/2605.24634"},"observation_digest":"sha256:0d0b3f2b89945a305249c72972903be79648ddb249733c97e2828940854ebf40","observation_id":"5fd29381-c0d8-48a8-9980-10ec001a884f","resolution":{"observed_at":"2026-06-30T13:54:44.063067Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2108.08600/citation-record","integrity":"/paper/2108.08600/integrity","json":"/paper/2108.08600/citation-record.json","paper":"/paper/2108.08600"},"outbound":[],"paper":{"arxiv_id":"2108.08600","last_updated":"2021-08-19T10:13:55Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T00:09:27.107585Z","submitted_at":"2021-08-19T10:13:55Z","title":"Semantic Compositional Learning for Low-shot Scene Graph Generation"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2108.08600."}