{"as_of":"2026-08-19T14:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2f686ba060710ec0c7c7d3e25f0c095e431b3be2c76947748ae24936c75116e4","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:20:44.950765Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2507.16172/citation-record","integrity":"/paper/2507.16172/integrity","json":"/paper/2507.16172/citation-record.json","paper":"/paper/2507.16172"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2111.00396","last_updated":"2022-08-05T17:54:38Z","snapshot_observed_at":"2026-08-14T01:02:41.198730Z","submitted_at":"2021-10-31T03:32:18Z","title":"Efficiently Modeling Long Sequences with Structured State Spaces","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.00396","snapshot_observed_at":"2026-08-06T15:20:44.897083Z","title":"arXiv preprint arXiv:2111.00396","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16172","last_updated":"2025-07-22T02:36:16Z","snapshot_observed_at":"2026-08-13T05:03:04.712222Z","submitted_at":"2025-07-22T02:36:16Z","title":"AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T15:20:44.897083Z"},"links":{"cited_paper":"/paper/2111.00396","citing_paper":"/paper/2507.16172"},"observation_digest":"sha256:4c0d9cff0d37b65f88f88a63d44a1094363e7c675f5774384e3f9672fc39874d","observation_id":"cebc23f8-4e0b-46de-9731-4166f87ba674","resolution":{"observed_at":"2026-08-06T15:20:44.897083Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.10166","last_updated":"2024-12-29T14:57:13Z","snapshot_observed_at":"2026-08-17T14:56:56.233298Z","submitted_at":"2024-01-18T17:55:39Z","title":"VMamba: Visual State Space Model","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.10166","snapshot_observed_at":"2026-08-06T15:20:44.906388Z","title":"arXiv preprint arXiv:2401.10166","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16172","last_updated":"2025-07-22T02:36:16Z","snapshot_observed_at":"2026-08-13T05:03:04.712222Z","submitted_at":"2025-07-22T02:36:16Z","title":"AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T15:20:44.906388Z"},"links":{"cited_paper":"/paper/2401.10166","citing_paper":"/paper/2507.16172"},"observation_digest":"sha256:6e6e4cf79cb90849dd5d46369ab9f246a3f4b691d858ce62da70206ff2b1b839","observation_id":"b713f92d-32dc-424e-aa1e-35d58e98df33","resolution":{"observed_at":"2026-08-06T15:20:44.906388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04722","last_updated":"2024-01-09T18:53:20Z","snapshot_observed_at":"2026-08-17T03:22:34.203372Z","submitted_at":"2024-01-09T18:53:20Z","title":"U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04722","snapshot_observed_at":"2026-08-06T15:20:44.910982Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16172","last_updated":"2025-07-22T02:36:16Z","snapshot_observed_at":"2026-08-13T05:03:04.712222Z","submitted_at":"2025-07-22T02:36:16Z","title":"AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T15:20:44.910982Z"},"links":{"cited_paper":"/paper/2401.04722","citing_paper":"/paper/2507.16172"},"observation_digest":"sha256:79367c836b937fb272a725353649a7c727aee4ca5066524b32cf844d305cc793","observation_id":"7b2d444a-c1c9-4809-89a9-df0889446072","resolution":{"observed_at":"2026-08-06T15:20:44.910982Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02491","last_updated":"2024-11-08T11:56:04Z","snapshot_observed_at":"2026-08-19T13:18:52.267019Z","submitted_at":"2024-02-04T13:37:21Z","title":"VM-UNet: Vision Mamba UNet for Medical Image Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02491","snapshot_observed_at":"2026-08-06T15:20:44.916341Z","title":"arXiv preprint arXiv:2402.02491","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16172","last_updated":"2025-07-22T02:36:16Z","snapshot_observed_at":"2026-08-13T05:03:04.712222Z","submitted_at":"2025-07-22T02:36:16Z","title":"AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T15:20:44.916341Z"},"links":{"cited_paper":"/paper/2402.02491","citing_paper":"/paper/2507.16172"},"observation_digest":"sha256:3dc04f3465cf1d8355bc6db658779a55f08e2cc526d4e6a68b79cb9cf6b62260","observation_id":"429e24a5-fcfc-435e-b089-0747dd812b52","resolution":{"observed_at":"2026-08-06T15:20:44.916341Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.10828","last_updated":"2024-06-16T07:43:40Z","snapshot_observed_at":"2026-08-17T01:19:23.676862Z","submitted_at":"2024-06-16T07:43:40Z","title":"PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing Imagery","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.10828","snapshot_observed_at":"2026-08-06T15:20:44.926702Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16172","last_updated":"2025-07-22T02:36:16Z","snapshot_observed_at":"2026-08-13T05:03:04.712222Z","submitted_at":"2025-07-22T02:36:16Z","title":"AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T15:20:44.926702Z"},"links":{"cited_paper":"/paper/2406.10828","citing_paper":"/paper/2507.16172"},"observation_digest":"sha256:16b5864639727df53d64796fb1f07e22bb7246372d1568b3728d96e71632f625","observation_id":"a494b686-349f-45e1-ab55-d02ab7f2de0b","resolution":{"observed_at":"2026-08-06T15:20:44.926702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02395","last_updated":"2024-06-04T15:09:29Z","snapshot_observed_at":"2026-08-16T13:46:15.085429Z","submitted_at":"2024-06-04T15:09:29Z","title":"GrootVL: Tree Topology is All You Need in State Space Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02395","snapshot_observed_at":"2026-08-06T15:20:44.937276Z","title":"arXiv preprint arXiv:2406.02395","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16172","last_updated":"2025-07-22T02:36:16Z","snapshot_observed_at":"2026-08-13T05:03:04.712222Z","submitted_at":"2025-07-22T02:36:16Z","title":"AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T15:20:44.937276Z"},"links":{"cited_paper":"/paper/2406.02395","citing_paper":"/paper/2507.16172"},"observation_digest":"sha256:e0c082f60c1302867c6f13e88880d0647d7b06d0b445077ec64e604e999e8955","observation_id":"a113858f-cd11-43ce-950c-7e48a116cec2","resolution":{"observed_at":"2026-08-06T15:20:44.937276Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04207","last_updated":"2025-05-19T07:03:10Z","snapshot_observed_at":"2026-08-16T13:45:27.898215Z","submitted_at":"2024-06-06T16:04:30Z","title":"CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04207","snapshot_observed_at":"2026-08-06T15:20:44.941891Z","title":"arXiv preprint arXiv:2406.04207","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16172","last_updated":"2025-07-22T02:36:16Z","snapshot_observed_at":"2026-08-13T05:03:04.712222Z","submitted_at":"2025-07-22T02:36:16Z","title":"AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T15:20:44.941891Z"},"links":{"cited_paper":"/paper/2406.04207","citing_paper":"/paper/2507.16172"},"observation_digest":"sha256:a81e865e6354eba797fc36756a9f477456d4341f5a3fce4e865da2bbd6c1f70c","observation_id":"3ca62004-51f9-499c-97ec-151a9f33b203","resolution":{"observed_at":"2026-08-06T15:20:44.941891Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02668","last_updated":"2024-04-10T08:47:32Z","snapshot_observed_at":"2026-08-17T00:35:20.591559Z","submitted_at":"2024-04-03T12:06:01Z","title":"RS-Mamba for Large Remote Sensing Image Dense Prediction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.02668","snapshot_observed_at":"2026-08-06T15:20:44.946144Z","title":"arXiv preprint arXiv:2404.02668","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16172","last_updated":"2025-07-22T02:36:16Z","snapshot_observed_at":"2026-08-13T05:03:04.712222Z","submitted_at":"2025-07-22T02:36:16Z","title":"AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T15:20:44.946144Z"},"links":{"cited_paper":"/paper/2404.02668","citing_paper":"/paper/2507.16172"},"observation_digest":"sha256:259a2b8dc983528e8e46d48c271574254d6e478c3ae64dff44776aa9f9de8469","observation_id":"ac3c6db3-18da-4445-9958-100ce368a92a","resolution":{"observed_at":"2026-08-06T15:20:44.946144Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09417","last_updated":"2024-11-14T02:00:33Z","snapshot_observed_at":"2026-08-14T11:12:31.002605Z","submitted_at":"2024-01-17T18:56:18Z","title":"Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09417","snapshot_observed_at":"2026-08-06T15:20:44.950765Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16172","last_updated":"2025-07-22T02:36:16Z","snapshot_observed_at":"2026-08-13T05:03:04.712222Z","submitted_at":"2025-07-22T02:36:16Z","title":"AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T15:20:44.950765Z"},"links":{"cited_paper":"/paper/2401.09417","citing_paper":"/paper/2507.16172"},"observation_digest":"sha256:1b41167b9bba41fff6efc2344988dc8ca223714e623adfa295ca997940aa3e6e","observation_id":"6c510837-98d3-49cd-a0b9-d84b3a78bda3","resolution":{"observed_at":"2026-08-06T15:20:44.950765Z","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":"2026-08-06T15:20:45.251004Z","title":"IEEE, pp","venue":null,"work_id":"d8ba39b8-0015-43bc-8a31-4b828ed3c12f","year":2018},"citing_paper":{"arxiv_id":"2507.16172","last_updated":"2025-07-22T02:36:16Z","snapshot_observed_at":"2026-08-13T05:03:04.712222Z","submitted_at":"2025-07-22T02:36:16Z","title":"AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-06T15:20:44.882485Z"},"links":{"citing_paper":"/paper/2507.16172"},"observation_digest":"sha256:eade784811f59225adb8adcbdad3d72341defbab168e239586d7289d5ba61a7e","observation_id":"366e0c1f-4108-455f-9377-5d8831667e02","resolution":{"observed_at":"2026-08-06T15:20:45.255429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-06T15:20:44.887084Z","title":"arXiv preprint arXiv:2010.11929","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2507.16172","last_updated":"2025-07-22T02:36:16Z","snapshot_observed_at":"2026-08-13T05:03:04.712222Z","submitted_at":"2025-07-22T02:36:16Z","title":"AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-06T15:20:44.887084Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2507.16172"},"observation_digest":"sha256:37ae6b2c21534907899459d74285eac02918344d6f725c63e0d415ad8cc03d0d","observation_id":"87b48714-e32d-4060-9f53-e63c129d709a","resolution":{"observed_at":"2026-08-06T15:20:44.887084Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03425","last_updated":"2024-12-30T06:28:34Z","snapshot_observed_at":"2026-08-19T13:03:08.728066Z","submitted_at":"2024-04-04T13:06:25Z","title":"ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03425","snapshot_observed_at":"2026-08-06T15:20:44.877488Z","title":"IEEE Trans","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16172","last_updated":"2025-07-22T02:36:16Z","snapshot_observed_at":"2026-08-13T05:03:04.712222Z","submitted_at":"2025-07-22T02:36:16Z","title":"AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-06T15:20:44.877488Z"},"links":{"cited_paper":"/paper/2404.03425","citing_paper":"/paper/2507.16172"},"observation_digest":"sha256:c1598a6f0227bd8281af47dfce5fb7bf7d6aadabf816787cf151b0bd2d1c6913","observation_id":"c32b33df-7fbf-4c0b-a0a2-37667e958e63","resolution":{"observed_at":"2026-08-06T15:20:44.877488Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.04933","last_updated":"2023-03-03T18:35:28Z","snapshot_observed_at":"2026-08-13T08:14:01.416880Z","submitted_at":"2022-08-09T17:57:43Z","title":"Simplified State Space Layers for Sequence Modeling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.04933","snapshot_observed_at":"2026-08-06T15:20:44.922030Z","title":"arXiv preprint arXiv:2208.04933","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16172","last_updated":"2025-07-22T02:36:16Z","snapshot_observed_at":"2026-08-13T05:03:04.712222Z","submitted_at":"2025-07-22T02:36:16Z","title":"AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T15:20:44.922030Z"},"links":{"cited_paper":"/paper/2208.04933","citing_paper":"/paper/2507.16172"},"observation_digest":"sha256:3fa65f71bb7ea7760b6118f4baf6b48bf29f415e769a9791825534d07439bdcc","observation_id":"818b6b24-1e44-4ecd-a06a-6c6f3de7df70","resolution":{"observed_at":"2026-08-06T15:20:44.922030Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-08-17T20:47:46.242385Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-08-06T15:20:44.892446Z","title":"arXiv preprint arXiv:2312.00752","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16172","last_updated":"2025-07-22T02:36:16Z","snapshot_observed_at":"2026-08-13T05:03:04.712222Z","submitted_at":"2025-07-22T02:36:16Z","title":"AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T15:20:44.892446Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2507.16172"},"observation_digest":"sha256:85bab9a2e10a6d710618722ad60439caaffd155ff4868ee25a3664ef06ae5aa1","observation_id":"2382d34d-32e7-4893-9174-9f38aa183d32","resolution":{"observed_at":"2026-08-06T15:20:44.892446Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.09338","last_updated":"2024-03-14T12:32:40Z","snapshot_observed_at":"2026-08-18T18:54:16.460042Z","submitted_at":"2024-03-14T12:32:40Z","title":"LocalMamba: Visual State Space Model with Windowed Selective Scan","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.09338","snapshot_observed_at":"2026-08-06T15:20:44.901809Z","title":"arXiv preprint arXiv:2403.09338","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16172","last_updated":"2025-07-22T02:36:16Z","snapshot_observed_at":"2026-08-13T05:03:04.712222Z","submitted_at":"2025-07-22T02:36:16Z","title":"AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T15:20:44.901809Z"},"links":{"cited_paper":"/paper/2403.09338","citing_paper":"/paper/2507.16172"},"observation_digest":"sha256:6b1f6e3ef937b40659292612df60565ed6e76a782f80e231ae2fbbf75b1c7e02","observation_id":"9af3ad2b-8227-4822-b59b-678390356731","resolution":{"observed_at":"2026-08-06T15:20:44.901809Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15455","last_updated":"2025-01-26T08:51:10Z","snapshot_observed_at":"2026-08-17T04:15:57.817433Z","submitted_at":"2025-01-26T08:51:10Z","title":"CD-Lamba: Boosting Remote Sensing Change Detection via a Cross-Temporal Locally Adaptive State Space Model","version":1},"cited_work":{"arxiv_id":"2501.15455","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.15455","snapshot_observed_at":"2026-08-06T15:20:45.058805Z","title":"CD-Lamba: Boosting Remote Sensing Change Detection via a Cross-Temporal Locally Adaptive State Space Model","venue":"cs.CV","work_id":"0dfa1dfe-4d81-4de3-b0f4-2365b43060f3","year":2025},"citing_paper":{"arxiv_id":"2507.16172","last_updated":"2025-07-22T02:36:16Z","snapshot_observed_at":"2026-08-13T05:03:04.712222Z","submitted_at":"2025-07-22T02:36:16Z","title":"AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-06T15:20:44.932674Z"},"links":{"cited_paper":"/paper/2501.15455","citing_paper":"/paper/2507.16172"},"observation_digest":"sha256:def5362863b9c761dcf9940297bf003af3ca7eb979e0a159210d82743ac6c36f","observation_id":"708c885a-1f3f-413a-bf13-8ed9bf084192","resolution":{"observed_at":"2026-08-06T15:20:45.065656Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.16172","last_updated":"2025-07-22T02:36:16Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T05:03:04.712222Z","submitted_at":"2025-07-22T02:36:16Z","title":"AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":14,"verified_exact":0,"verified_fuzzy":1},"total_outbound_references":16},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2507.16172."}