{"as_of":"2026-08-19T14:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9e37aec5aaa985f2c8483b13b6e19f32a2500e368526ec83bd634cc7a0c9d684","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T00:14:40.605569Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"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/2511.05567/citation-record","integrity":"/paper/2511.05567/integrity","json":"/paper/2511.05567/citation-record.json","paper":"/paper/2511.05567"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T00:14:37.208085Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:37.208085Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:cf2b8c87c176d64b71e1866a9fc215175fd1061a2e1a3176711b8bb8e712e882","observation_id":"c330f0eb-c30e-444f-9283-6b0eb6a6129f","resolution":{"observed_at":"2026-08-04T00:14:37.208085Z","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":"2026-08-04T00:14:37.286160Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:37.286160Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:ddb7880e22fd3c55e3dc93b1dd0dbffeef5cf6d4a69d911c1c1af9476d34b02f","observation_id":"c92d370c-bc1e-42f7-ad13-095de2c989fa","resolution":{"observed_at":"2026-08-04T00:14:37.286160Z","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":"2026-08-04T00:14:37.369878Z","title":"of Advances in Neural Information Processing Systems 25 (NIPS 2012) (2012)","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:37.369878Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:024a90891252482d49d00c7d76735c53b0377377c4b48be54ba255305b2c0fae","observation_id":"1a227945-ccc0-48a3-9d82-bf47ebdbd046","resolution":{"observed_at":"2026-08-04T00:14:37.369878Z","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":"2026-08-04T00:14:37.431428Z","title":"of International Conference on Learning Representations (ICLR 2015) (2015)","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:37.431428Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:43817092a4c33c24cbf04af33be09cdc9aa1c14e757f5e6c0516a7679fcddac4","observation_id":"485f5522-8bef-49a2-8bed-de439551c964","resolution":{"observed_at":"2026-08-04T00:14:37.431428Z","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":"2026-08-04T00:14:37.510541Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:37.510541Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:d5543773ccc39dc73e2a3b90f21611a0ecd83fe58973afa51a63ce1195ff0fd3","observation_id":"8103d24f-21be-4b20-856d-49a78e6945d9","resolution":{"observed_at":"2026-08-04T00:14:37.510541Z","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":"2026-08-04T00:14:37.580990Z","title":"of 2016 IEEE Conference on Computer Vision and Patter n Recognition (CVPR), pp.770–778 (2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:37.580990Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:44d67375b8114065414ccd536a76bcf2eaab2c31b7520f0f8609a3f63153c607","observation_id":"f3343776-066d-4a68-8c8b-3da8bf061899","resolution":{"observed_at":"2026-08-04T00:14:37.580990Z","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":"2026-08-04T00:14:37.653981Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:37.653981Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:21460b09d3e7d58b2f03eb21e345679618a25c49316fb10d88d2c25df39985a1","observation_id":"a9b7f688-923f-482e-935a-45be62535add","resolution":{"observed_at":"2026-08-04T00:14:37.653981Z","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":"2026-08-04T00:14:37.723262Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:37.723262Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:fb5d6f9d8213d3a8443d8ae8bbafab38233152dd5172839167d32b4fcd204b56","observation_id":"13e7eaed-4d3a-40c9-aea5-f0ea641dcea8","resolution":{"observed_at":"2026-08-04T00:14:37.723262Z","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":"2026-08-04T00:14:37.799048Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:37.799048Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:72542509138d23d553e8f667400f36b114d617148518962888c55736853d6746","observation_id":"6e38727a-9e74-4cb0-ac50-2b6a53a37907","resolution":{"observed_at":"2026-08-04T00:14:37.799048Z","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":"2026-08-04T00:14:37.834593Z","title":"of the IEEE Conference on Computer Vision and Pattern Recognition (ICCV), pp.3438–3446 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:37.834593Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:da22c68cbef7fd46c2c61d59e4c7523da8e285b75e0d1dc2abe116647374ac14","observation_id":"0248b017-051a-4162-8673-fb9d3df84fd0","resolution":{"observed_at":"2026-08-04T00:14:37.834593Z","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":"2026-08-04T00:14:37.888517Z","title":null,"venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:37.888517Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:307b0e00001e98befb312bbca057dc4f988d8171a1f9f22ce34b5569e825437c","observation_id":"34b7ae0d-a420-47ab-8f40-2d7fc1d52607","resolution":{"observed_at":"2026-08-04T00:14:37.888517Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.03680","last_updated":"2018-04-26T22:12:54Z","snapshot_observed_at":"2026-08-14T19:47:08.578834Z","submitted_at":"2018-02-11T02:38:17Z","title":"RoadTracer: Automatic Extraction of Road Networks from Aerial Images","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.03680","snapshot_observed_at":"2026-08-04T00:14:37.969515Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:37.969515Z"},"links":{"cited_paper":"/paper/1802.03680","citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:01f4fb622b7c323d1a82ae39af9b85bbdcbf784e486e58a79ffe22c3d2f19b0b","observation_id":"56b32799-fa3c-4ac7-a053-eff0c1a7ed4a","resolution":{"observed_at":"2026-08-04T00:14:37.969515Z","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":"2026-08-04T00:14:38.030258Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:38.030258Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:231e250198a0241ea6562b9845abfe4ed6d5e37e9341b88f8ac2d191a3d2bdaf","observation_id":"c78e8451-7a07-4497-939f-e0c3395bf39f","resolution":{"observed_at":"2026-08-04T00:14:38.030258Z","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":"2026-08-04T00:14:38.086248Z","title":"of 2016 IEEE International Conference on Systems, Man , and Cybernetics (IEEE SMC 2016), pp.1273–1278 (2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:38.086248Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:1f001301b6fe5a62c969b13ce78b1a4485928f002bcfaa6e1ad45dde227bcf31","observation_id":"b720d99f-09a8-4a15-8431-dbf8e9887f2a","resolution":{"observed_at":"2026-08-04T00:14:38.086248Z","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":"2026-08-04T00:14:38.143396Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:38.143396Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:8a7cb1dfc2d6ae090ed20656f6b968cc8f91a57519c1b0185d0be7903fe941d6","observation_id":"c5a55040-4574-4b16-9461-b1496083649a","resolution":{"observed_at":"2026-08-04T00:14:38.143396Z","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":"2026-08-04T00:14:38.195467Z","title":"of IEEE TENCON2016, pp.2971–2974 (2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:38.195467Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:0eb11f4a791242ab15e40f0a032413e38206f105662a969c35bde1c96f3e78ad","observation_id":"b478b585-130f-4742-989c-8ffad024ca0e","resolution":{"observed_at":"2026-08-04T00:14:38.195467Z","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":"2026-08-04T00:14:38.258693Z","title":"of IEEE TENCON 2020, pp.1203–1208 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:38.258693Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:7655194f32fb7c401e01749a4979f003a20c342b50828c13a5427f3d33bef146","observation_id":"792a49d7-835e-40e8-a9ea-0b1ed8823bf2","resolution":{"observed_at":"2026-08-04T00:14:38.258693Z","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":"2026-08-04T00:14:38.337197Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:38.337197Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:367663895680bd1d23aaa8162b2631a5c4ee5f69c2c28f668f34aaa0f363df23","observation_id":"5d605432-bd73-4261-b1a4-34297f23925b","resolution":{"observed_at":"2026-08-04T00:14:38.337197Z","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":"2026-08-04T00:14:38.399802Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:38.399802Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:04c150578f618cedcba7cc8c5c5e673c99459679d83e6775003972969819c17a","observation_id":"3898225d-addd-4437-84bd-a4b87761fab6","resolution":{"observed_at":"2026-08-04T00:14:38.399802Z","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":"2026-08-04T00:14:38.490736Z","title":"Neural Computation, vol.14, pp.1771–1800 (2002)","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:38.490736Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:56b1d263aaec0d2eb620114f0dfb5d7bb0cb4e016d7d92b42932c1ffbf51962c","observation_id":"9a9987e0-c302-4da5-b25c-4acd55978054","resolution":{"observed_at":"2026-08-04T00:14:38.490736Z","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":"2026-08-04T00:14:38.563866Z","title":"16, 2023 15","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:38.563866Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:59858d5ee465e0d0e9890bad9a0c22aff5635beb24704b422c872985850641f5","observation_id":"b7f8bb86-97a8-4812-8d84-24c8ca668bfb","resolution":{"observed_at":"2026-08-04T00:14:38.563866Z","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":"2026-08-04T00:14:38.650700Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:38.650700Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:d38c2c0cdff09108190d52523cca24b7ce6ac85cc6ee212c66525698fc78ee5d","observation_id":"a5c489b9-a3ef-40ef-a6e0-9c4fd8b04f12","resolution":{"observed_at":"2026-08-04T00:14:38.650700Z","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":"2026-08-04T00:14:38.734573Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:38.734573Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:8692d4919f1e5cfb6292dd008abf9ee2c3d3a133e81e15a41276f7975038b38b","observation_id":"92ddcc65-d560-4e02-90d8-fea645faf2a5","resolution":{"observed_at":"2026-08-04T00:14:38.734573Z","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":"2026-08-04T00:14:38.810414Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:38.810414Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:7c575fd6d6d0db481918d40f2abbf4f67eb90e4fa52ca9d2487d2599aeaa6323","observation_id":"5ac89ccb-e214-414f-995e-45d0daae26ef","resolution":{"observed_at":"2026-08-04T00:14:38.810414Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6071","last_updated":"2015-05-12T06:36:11Z","snapshot_observed_at":"2026-08-18T05:03:14.885432Z","submitted_at":"2014-12-18T20:45:11Z","title":"Fractional Max-Pooling","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6071","snapshot_observed_at":"2026-08-04T00:14:38.910988Z","title":"arXiv:1412.6071 (2015)","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:38.910988Z"},"links":{"cited_paper":"/paper/1412.6071","citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:b5a2734212739768b289f6e12e510ca59622f95b2db9dd26d8f3d03e70c6a2ad","observation_id":"bc0306d0-9f97-436f-8ac0-39a8377f4924","resolution":{"observed_at":"2026-08-04T00:14:38.910988Z","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":"2026-08-04T00:14:39.007756Z","title":"of the British Machine Vision Conference (BMVC), pp.87.1–87.12 ( 2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:39.007756Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:7b3087938de4ea679f70e0ac78dc4a41e8cd22f8b9f2b901ff26c6db40a829d3","observation_id":"aa653531-1e61-462b-9af1-04c0a61d92da","resolution":{"observed_at":"2026-08-04T00:14:39.007756Z","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":"2026-08-04T00:14:39.071953Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:39.071953Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:c8e7d4c4d90b553e364f16cc82e41437ac8f6e0a2f47b1213e47954d68d327fb","observation_id":"9377a626-e635-412f-afda-8109c33822de","resolution":{"observed_at":"2026-08-04T00:14:39.071953Z","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":"2026-08-04T00:14:39.157048Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:39.157048Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:72925b99f445c86f90776d2795248462f0943cd38be511d726298a4137d508a6","observation_id":"f3dc64ac-bef4-44e2-b5ea-16674a3557e6","resolution":{"observed_at":"2026-08-04T00:14:39.157048Z","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":"2026-08-04T00:14:39.254143Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:39.254143Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:ea2d292a9524701858c3418f879866e2886bf7d812b5758c1da56c741ae36fc0","observation_id":"d483dd49-ea8f-44e2-9e8c-d226c98b9ee6","resolution":{"observed_at":"2026-08-04T00:14:39.254143Z","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":"2026-08-04T00:14:39.313043Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:39.313043Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:dd2631ea2f7083aef34a4b153bc5e48fa6d4cade9560633f3d1e573db648d5cc","observation_id":"ce511fda-0cce-40a5-85a1-3b468fac1ad9","resolution":{"observed_at":"2026-08-04T00:14:39.313043Z","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":"2026-08-04T00:14:39.422246Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:39.422246Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:ed6d57b95796bcfac42e1782bbc8456e607d7157206bed2df51941d7219b6d37","observation_id":"e34ea28e-e294-4790-b939-65965979df65","resolution":{"observed_at":"2026-08-04T00:14:39.422246Z","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":"2026-08-04T00:14:39.524446Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:39.524446Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:e1f837cb49cf7e0e9e1139ebaa09a79c5738cac44f404cefbd0bc949efb62e6a","observation_id":"9fc362d8-be8b-4a61-9d79-1a79e9ddb9a5","resolution":{"observed_at":"2026-08-04T00:14:39.524446Z","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":"2026-08-04T00:14:39.583364Z","title":"Hong et.al., More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classiﬁcation , in IEEE Transactions on Geoscience and Remote Sensing, vol","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:39.583364Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:405d232e7f74fbc37544d17de39fb4bdbd0342f040e23df2112de59ff3e16f43","observation_id":"28c51d7f-6a64-48fa-8f74-cb7a9dc5cd06","resolution":{"observed_at":"2026-08-04T00:14:39.583364Z","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":"2026-08-04T00:14:39.624589Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:39.624589Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:05324e2f6b7654c7c95e84e5b5bda408355fe0c3ddcf3219c83d7a5a304db21f","observation_id":"49e9f714-2b23-4431-938c-4da0cd4d02a8","resolution":{"observed_at":"2026-08-04T00:14:39.624589Z","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":"2026-08-04T00:14:39.687931Z","title":"34, no.6, pp.2817–2830 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:39.687931Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:f8085a9661a60cf93fd41a39ecdbb9e07e58d02fe7b6e9c82142165a5887a9f2","observation_id":"83800c1c-c240-48c7-b593-0accb7b46db7","resolution":{"observed_at":"2026-08-04T00:14:39.687931Z","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":"2026-08-04T00:14:39.762185Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:39.762185Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:c2572567c93b41c599138cca73b2d0f433c7f5f105caab3b7789e9035474c813","observation_id":"82abf787-eb32-43ca-9817-d4f3349e456a","resolution":{"observed_at":"2026-08-04T00:14:39.762185Z","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":"2026-08-04T00:14:39.820444Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:39.820444Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:d2518380d0c1670152a3881697747d1c4e9226a34d11dd1000f1a96bf56074a9","observation_id":"a373a539-c183-4e41-a99c-7eb11653ded8","resolution":{"observed_at":"2026-08-04T00:14:39.820444Z","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":"2026-08-04T00:14:39.872697Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:39.872697Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:8072da2c9dfbf6992e518679e800742cd20edec1c1155be263607e87d2ad2c34","observation_id":"ef527ff5-a5d2-4528-ba66-fab43bd91a48","resolution":{"observed_at":"2026-08-04T00:14:39.872697Z","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":"2026-08-04T00:14:39.938372Z","title":"of the AAAI Conference on Artiﬁcial Intelligence, V ol.34, No.07, pp.10965–10972 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:39.938372Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:c05fbbbd43960d50eac6b1e93b7f82542c53d14e4c3719eeb15b9109a7588e9b","observation_id":"4b8bb893-5d5b-41d8-b40c-fa606437960d","resolution":{"observed_at":"2026-08-04T00:14:39.938372Z","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":"2026-08-04T00:14:40.003357Z","title":"of 2020 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR), pp.8907–8915 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:40.003357Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:902dead14ae800517ca11209b59b13297c3d16a00b1f48bd933ecf5c84cdf99d","observation_id":"9460a876-ca6a-4f8e-914f-47b16b497c73","resolution":{"observed_at":"2026-08-04T00:14:40.003357Z","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":"2026-08-04T00:14:40.069819Z","title":null,"venue":null,"work_id":null,"year":2043},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:40.069819Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:c640619b5fc971a708c8344528765dc1bb00e7774bb1bc1228aaa3394d35e133","observation_id":"b1db7efb-6939-431f-a658-3e3fa5ead3da","resolution":{"observed_at":"2026-08-04T00:14:40.069819Z","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":"2026-08-04T00:14:40.164683Z","title":"Bahri and F","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:40.164683Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:ff8457840ff0fedbdf48cae24a8ec9865d12323649787ab4e544d31e7e33cb63","observation_id":"ea6ecf67-e6d9-4dce-9fcf-c1979bce8b7a","resolution":{"observed_at":"2026-08-04T00:14:40.164683Z","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":"2026-08-04T00:14:40.222807Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:40.222807Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:9a33a3fbaed9557992e19daf21fb981e433f48e5bcfbf22f287c91c55a1dd9f7","observation_id":"6aa931b8-fd11-4638-8402-28cf9b6add38","resolution":{"observed_at":"2026-08-04T00:14:40.222807Z","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":"2026-08-04T00:14:40.272203Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:40.272203Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:35939f8546744621bb2f4060cae1b6e4c38573b1f9afcc59f3923d95e320b830","observation_id":"a82c25d8-d0ed-496c-8f49-d29bf6d104d6","resolution":{"observed_at":"2026-08-04T00:14:40.272203Z","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":"2026-08-04T00:14:40.338776Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:40.338776Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:b7875b38e528213d4d142cdf657eab2aa3e72a54ed6af77a25727c830bc09a08","observation_id":"f5fb1c3a-e465-4c77-b212-04f2822dd4a1","resolution":{"observed_at":"2026-08-04T00:14:40.338776Z","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":"2026-08-04T00:14:40.396164Z","title":"of 10th International Conference on Informatics, Electron ics & Vision (ICIEV 2021), No.37 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:40.396164Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:645a950bb379d935b1e12a545a43fd5e484cfc73466f48963180994936487e74","observation_id":"041a3d05-bb80-4690-aa5a-385eca538889","resolution":{"observed_at":"2026-08-04T00:14:40.396164Z","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":"2026-08-04T00:14:40.485218Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:40.485218Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:1f5b2a478ef8aa8d12891a5e6a88668006d548a259bc88683d0dd89ca30df96f","observation_id":"cee98053-20fb-4fa6-8d91-e200ef25ffa1","resolution":{"observed_at":"2026-08-04T00:14:40.485218Z","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":"2026-08-04T00:14:40.557338Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:40.557338Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:7b02c849b17c6bce4673658bddabcc657f0690470033d363696e8125de39142a","observation_id":"07b6fff3-5215-4d06-b725-d6722ca1d79b","resolution":{"observed_at":"2026-08-04T00:14:40.557338Z","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":"2026-08-04T00:14:40.605569Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-04T00:14:40.605569Z"},"links":{"citing_paper":"/paper/2511.05567"},"observation_digest":"sha256:9c11b0ad9ffac7596a408f01a034e4063ce50259299811a871d906e53221d5ef","observation_id":"34edc0f8-8034-492c-a978-4644c92feffc","resolution":{"observed_at":"2026-08-04T00:14:40.605569Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2511.05567","last_updated":"2026-06-27T06:27:45Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-19T02:00:27.881111Z","submitted_at":"2025-11-04T09:07:21Z","title":"Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":49,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":49},"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 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2511.05567."}