{"as_of":"2026-08-22T10:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:419d409f9a4c1dc326785437158455711bc2b40d50dc10b586d5d2fce5454dd8","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:46:25.794425Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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/2504.18562/citation-record","integrity":"/paper/2504.18562/integrity","json":"/paper/2504.18562/citation-record.json","paper":"/paper/2504.18562"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.714640Z","title":null,"venue":null,"work_id":"bcee7842-504a-4f32-9724-dd5feed99c35","year":1977},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.594914Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:e274c38fb87815d4b53e90d981b79e0b5df80704d60521815378d863f4f4a1dc","observation_id":"884d6fb3-baf5-47f3-85ba-3b07ecb6590a","resolution":{"observed_at":"2026-08-16T11:46:26.719100Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.700831Z","title":null,"venue":null,"work_id":"a2c7bfb4-4f72-4ae6-bd04-a80b38203ef5","year":1978},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.600186Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:a6fe3279edd35210754a6131256a7d0b1dfa778c73855bf2dc7a891a97aae708","observation_id":"5d31a350-2efc-424a-93c4-72590f709a26","resolution":{"observed_at":"2026-08-16T11:46:26.705130Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.687143Z","title":null,"venue":null,"work_id":"22a92bbe-6a96-4dcb-942e-4ee7460604b0","year":2009},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.605219Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:1a85653586065ad9df2063cc584d56ba0f8e8e2c7158997ae61b8e156da31fc3","observation_id":"4f78402f-2b46-43c8-8dee-d7ce1d4ade4a","resolution":{"observed_at":"2026-08-16T11:46:26.691486Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.673015Z","title":"Cortez and A","venue":null,"work_id":"8239a685-6d60-4333-a3c9-579aab1d354f","year":2007},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.609706Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:68d5b3870ea86bdbe661f596d7d35c747da559a39568ed085bb21c7a09002ea8","observation_id":"15f173de-04e0-407b-a12b-a24daf73eaa1","resolution":{"observed_at":"2026-08-16T11:46:26.677582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.659141Z","title":null,"venue":null,"work_id":"f877ad0d-c174-483a-90f3-2b1e7f54dacd","year":2020},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.614403Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:504207505f3e2a95ef54f55d02b3c7d5bafb43cf22e76d031c8d0c1ab6a39bdc","observation_id":"5a6a42cd-d9ec-458c-a864-ea879b5502f7","resolution":{"observed_at":"2026-08-16T11:46:26.663721Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.644812Z","title":"Zhang, M","venue":null,"work_id":"0358132f-a09d-4dc6-b36e-1c8ac59ce453","year":2019},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.618916Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:3c1529158b7b564d18629182a76b6bf8b12371357562a6e07a4388c96c82e21d","observation_id":"f1011456-3326-4dc7-b9fe-2fcdf9c2005e","resolution":{"observed_at":"2026-08-16T11:46:26.649466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.630797Z","title":"Radke, A","venue":null,"work_id":"195edafc-7b8b-4fbb-bf87-d1ec561f4010","year":2019},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.623904Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:3e1c7e721d569597eb910b6cabab4fedcaf9ae008f22c331ed7e04302fbf7a43","observation_id":"477d22d7-4452-42bc-b7b4-4dbc9bde00c3","resolution":{"observed_at":"2026-08-16T11:46:26.635262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:25.628412Z","title":"Lahrichi, K","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.628412Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:81df47a557f811f4a6a5494efd7320e7e60e6cbb01e818dcf75b773a41b712f3","observation_id":"5144b0c5-11f3-4c35-be45-d65909dcd2c0","resolution":{"observed_at":"2026-08-16T11:46:25.628412Z","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":"2026-08-16T11:46:26.617000Z","title":null,"venue":null,"work_id":"eb57b3aa-538d-48e1-b54e-6aa427b45698","year":2023},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.632927Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:1e90378f716a5421ba5a55a129646b59af04d6fa6006443e1e9eedf237a2fe11","observation_id":"0cbfe77c-a951-47f8-8a18-599e58725887","resolution":{"observed_at":"2026-08-16T11:46:26.621379Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:25.637395Z","title":"Jadouli and C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.637395Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:6a804d2b4c1f4acb97f3906a1d5475c5ecd3292f224822041fa15c5736905d05","observation_id":"30a8cb10-b916-4b55-8450-f5f8c6e3a5eb","resolution":{"observed_at":"2026-08-16T11:46:25.637395Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.06020","last_updated":"2024-11-09T00:48:32Z","snapshot_observed_at":"2026-08-16T13:01:36.829689Z","submitted_at":"2024-11-09T00:48:32Z","title":"Parallel Multi-path Feed Forward Neural Networks (PMFFNN) for Long Columnar Datasets: A Novel Approach to Complexity Reduction","version":1},"cited_work":{"arxiv_id":"2411.06020","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.06020","snapshot_observed_at":"2026-08-16T11:46:26.167092Z","title":"Parallel Multi-path Feed Forward Neural Networks (PMFFNN) for Long Columnar Datasets: A Novel Approach to Complexity Reduction","venue":"cs.LG","work_id":"266930eb-f098-4d76-a367-1007ff0ebf1a","year":2024},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.641894Z"},"links":{"cited_paper":"/paper/2411.06020","citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:267a6775a0b9ada8ed64150740961f69c5697f01a06bb07d1ab00af5e9988a25","observation_id":"aa6b87a1-b060-4397-9fcf-9962dc4731b5","resolution":{"observed_at":"2026-08-16T11:46:26.171814Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.602767Z","title":"Jadouli and C","venue":null,"work_id":"98a584f0-e7a8-496e-8849-6ac4992787a8","year":2025},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.646939Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:fefbbf5fc61b68d0428b86c17f380d717bd23871f5d92e6e365a4de548d6ffa6","observation_id":"575ed116-6de2-4904-972a-bf548e036f50","resolution":{"observed_at":"2026-08-16T11:46:26.607011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.43152","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.142240Z","title":"Jadouli and C","venue":null,"work_id":"97d05283-7e2a-4471-baeb-dc7543b01e9f","year":2024},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.651019Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:7026eb804cf9713133977aeeb74952bf061323184cb7fd84723af2dab2dacd23","observation_id":"83a326c7-9390-4fe2-9cc1-37744c44c30f","resolution":{"observed_at":"2026-08-16T11:46:26.149749Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.589758Z","title":"Jadouli and C","venue":null,"work_id":"ee96cabd-382f-4433-88d0-cd3877d05481","year":2023},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.655302Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:cf2eb0f337283311e5a5ed8b6c88364c88e0b50589d2a8571d61f1bd56fddfc8","observation_id":"7e6a6048-4eeb-4da2-9c13-ba73c9b32338","resolution":{"observed_at":"2026-08-16T11:46:26.593911Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.576798Z","title":"Rogers, O","venue":null,"work_id":"563a98fc-9304-4457-a058-ddd33bacd6b5","year":2020},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.659417Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:a36f325276460d54dfc524dcb2cfa0ca0755e22513544a7cfb590f813b7d7274","observation_id":"5bff1044-2fb4-42c1-8267-3952cbaa9190","resolution":{"observed_at":"2026-08-16T11:46:26.580920Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.02902","last_updated":"2021-09-08T14:19:22Z","snapshot_observed_at":"2026-08-18T00:00:34.837051Z","submitted_at":"2021-06-05T14:23:49Z","title":"BERTnesia: Investigating the capture and forgetting of knowledge in BERT","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.02902","snapshot_observed_at":"2026-08-16T11:46:25.663503Z","title":"Wallat, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.663503Z"},"links":{"cited_paper":"/paper/2106.02902","citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:0e9844cc8abea9e4818dc2ad8db3855ea4e9df2e593ef300c081d1e6e4e67c58","observation_id":"443ef5f6-4870-4958-a22e-3391b4425b30","resolution":{"observed_at":"2026-08-16T11:46:25.663503Z","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":"2026-08-16T11:46:26.563212Z","title":"Tenney, D","venue":null,"work_id":"5bbf6706-103b-45b4-9048-3048b3e33a2f","year":null},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.667933Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:37779793b344c7e576b45f21d09fca02a5ab7e10a849ca14626c9af48ee55d4d","observation_id":"d6658948-a235-4848-9876-510fb0160eca","resolution":{"observed_at":"2026-08-16T11:46:26.567714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.550195Z","title":null,"venue":null,"work_id":"e76ed437-60ab-46e1-a7f9-a435c04b23b8","year":2014},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.672333Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:c152e2109d85460700f09297872a3e25a94bed340bf2014af0b3825451cdde21","observation_id":"2a4cbb75-dd4d-4cce-9778-ad817373f90e","resolution":{"observed_at":"2026-08-16T11:46:26.554298Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.08810","last_updated":"2022-03-03T22:04:47Z","snapshot_observed_at":"2026-08-20T09:50:55.081786Z","submitted_at":"2021-08-19T17:27:03Z","title":"Do Vision Transformers See Like Convolutional Neural Networks?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.08810","snapshot_observed_at":"2026-08-16T11:46:25.676663Z","title":"Raghu, T","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.676663Z"},"links":{"cited_paper":"/paper/2108.08810","citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:b148cf5c7edfe06e2ce727252f524d4fd7869f09df4454d3f285974d440042d6","observation_id":"b9da1083-29a2-4227-a441-77215542fc24","resolution":{"observed_at":"2026-08-16T11:46:25.676663Z","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":"2026-08-16T11:46:26.536644Z","title":null,"venue":null,"work_id":"9fe580c2-2b73-4b1c-becf-aab2d926b120","year":2022},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.681242Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:cbf6bf6c9af969fb2a877277e893f6528c54fb3e95a4df80b6cd1fc5b757d01b","observation_id":"79a1aa8a-d3a5-4b8b-a938-9222471d70bb","resolution":{"observed_at":"2026-08-16T11:46:26.541045Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10486","last_updated":"2022-12-20T18:04:17Z","snapshot_observed_at":"2026-08-16T16:07:13.297820Z","submitted_at":"2022-12-20T18:04:17Z","title":"Effective-one-body formalism for leading-order radiative effects in the post-linear framework","version":1},"cited_work":{"arxiv_id":"2212.10486","doi":null,"metadata_source":"pith","pith_arxiv_id":"2212.10486","snapshot_observed_at":"2026-08-16T11:46:26.052215Z","title":"Effective-one-body formalism for leading-order radiative effects in the post-linear framework","venue":"gr-qc","work_id":"b6b951ec-e155-4844-9425-16a56d857cb3","year":2022},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.685684Z"},"links":{"cited_paper":"/paper/2212.10486","citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:a3916cbc290275c25ea344fa65571a79377810a06e7422e54a84b62307a4d9b5","observation_id":"c67fa12d-68ba-4c14-9586-bf0440ceb8f9","resolution":{"observed_at":"2026-08-16T11:46:26.057170Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08906","last_updated":"2022-04-29T23:24:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-02-17T21:39:10Z","title":"ST-MoE: Designing Stable and Transferable Sparse Expert Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.08906","snapshot_observed_at":"2026-08-16T11:46:25.690249Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.690249Z"},"links":{"cited_paper":"/paper/2202.08906","citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:ba58d709fa31ab34243e04361b19af88cacac95b259cf92b55f2cd387738d877","observation_id":"36c2fb1e-d606-4257-a5a4-2a688b757336","resolution":{"observed_at":"2026-08-16T11:46:25.690249Z","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":"2026-08-16T11:46:26.523197Z","title":null,"venue":null,"work_id":"f522cd99-f5d3-4353-bb1e-51379c8dc57c","year":2010},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.694864Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:cbbf6e1fc4b18d89902ec6f00296c57bbb2c2852f62c2938974a567b010ebd6a","observation_id":"33152809-35e7-4f45-8e5a-5d2270fdd06e","resolution":{"observed_at":"2026-08-16T11:46:26.527484Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.509660Z","title":null,"venue":null,"work_id":"f5e6122e-b3f6-4789-9378-21ec07af79b9","year":2019},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.698753Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:8928ddbb2252988acfd6345c718ad1e41b87dee1124d091d9f7638161fa549c4","observation_id":"82fd5010-b53e-4ca4-8001-c73e8a350fa7","resolution":{"observed_at":"2026-08-16T11:46:26.513953Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.05970","last_updated":"2023-02-09T11:33:25Z","snapshot_observed_at":"2026-08-16T16:09:53.331213Z","submitted_at":"2022-12-09T03:29:38Z","title":"Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement","version":3},"cited_work":{"arxiv_id":"2212.05970","doi":null,"metadata_source":"pith","pith_arxiv_id":"2212.05970","snapshot_observed_at":"2026-08-16T11:46:26.018126Z","title":"Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement","venue":"cs.SE","work_id":"55cc20b2-0344-46a0-9366-701f1b099729","year":2022},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.702763Z"},"links":{"cited_paper":"/paper/2212.05970","citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:45035aa2544d49f42e79f9c1862eb93ca665578978b2e8aa19036b933d4c7d0d","observation_id":"518dbd03-5dc0-4f96-9524-6189567f1484","resolution":{"observed_at":"2026-08-16T11:46:26.023037Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.495706Z","title":"Andreas, M","venue":null,"work_id":"f86c0fc8-30e6-4712-a0e0-2f97a5170d1c","year":2016},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.707122Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:237147fd2582fb9faca6206bcf817b6242aca493a44077a9d0f245e2c655f350","observation_id":"d8e1f44d-0ae8-4eb6-a81f-2aab7ee522e6","resolution":{"observed_at":"2026-08-16T11:46:26.499985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.06863","last_updated":"2025-01-12T16:23:18Z","snapshot_observed_at":"2026-08-14T10:23:20.952871Z","submitted_at":"2025-01-12T16:23:18Z","title":"Transfer Learning of Tabular Data by Finetuning Large Language Models","version":1},"cited_work":{"arxiv_id":"2501.06863","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.06863","snapshot_observed_at":"2026-08-16T11:46:25.996937Z","title":"Transfer Learning of Tabular Data by Finetuning Large Language Models","venue":"cs.LG","work_id":"1ad58438-fda3-4609-8d3d-c8b8d8329435","year":2025},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.711864Z"},"links":{"cited_paper":"/paper/2501.06863","citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:c3127e0673dcd503e0c61be68b411533e126db46e2e94f89cb80758b36efc303","observation_id":"dd55a836-3f22-41e9-8789-8d13a1cb839d","resolution":{"observed_at":"2026-08-16T11:46:26.002436Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.481564Z","title":"Houlsby, A","venue":null,"work_id":"05e4bad3-bc11-4589-9542-20261864f630","year":2019},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.716444Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:abc4eae9b9b08ca2789f7acb750677a1eb6fad7d994d944f58978f1e6d28ac87","observation_id":"1b16a0f8-44b1-485d-ac3d-92c452ad2a8b","resolution":{"observed_at":"2026-08-16T11:46:26.486151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.467936Z","title":null,"venue":null,"work_id":"0d6b5751-b38a-4827-a814-c94245f2716b","year":2016},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.720550Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:dcff308a02024e7beb6f887980ff7d369a9c1d3702a1525e08d62583c3a354f9","observation_id":"ee1b0a7a-8871-4038-a7c9-447b0f8ecb5c","resolution":{"observed_at":"2026-08-16T11:46:26.472180Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.454321Z","title":"Chuvieco, I","venue":null,"work_id":"7260d135-428a-44ef-baf6-3bfb4cba5dcd","year":2010},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.724924Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:ac0c2c67a7ae018914c092eaa80b5fb8a156218b29027bc85fbc1dcbada3f52e","observation_id":"0f10f13a-90df-448b-b90d-a67ab4e2d650","resolution":{"observed_at":"2026-08-16T11:46:26.458533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.440595Z","title":"Brown et al., ‘‘Language Models are Few-Shot Learners,’’ in Advances in Neural Information Processing Systems , vol","venue":null,"work_id":"7c1a0e9f-932e-410d-bc3d-6a6bdaaa960e","year":2020},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.729184Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:4a4327df3469e1a670af6b5ab4b25a7caf1a16c966d77bbb86b8fd2201c31ac9","observation_id":"d52e6f49-b5c2-4659-b699-c6ed270f4d05","resolution":{"observed_at":"2026-08-16T11:46:26.445130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07682","last_updated":"2022-10-26T05:06:24Z","snapshot_observed_at":"2026-08-17T00:14:01.413100Z","submitted_at":"2022-06-15T17:32:01Z","title":"Emergent Abilities of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07682","snapshot_observed_at":"2026-08-16T11:46:25.733403Z","title":"Wei et al","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.733403Z"},"links":{"cited_paper":"/paper/2206.07682","citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:2f5141f160f6ba1b3667840ef84cf2258b43112d6438bae4505edc7270442212","observation_id":"ed8674b1-9257-4d75-8bd2-3c086b00e84d","resolution":{"observed_at":"2026-08-16T11:46:25.733403Z","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":"2026-08-16T11:46:26.425011Z","title":"V aswaniet al., ‘‘Attention Is All Y ou Need,’’ inProc","venue":null,"work_id":"674559d0-cd09-4cea-ba1e-1b1ebe9c6216","year":2017},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.737941Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:090092887a0c641b3eab1e9af90c4b3c94d9b38c39a3d901d85ab61f35f6c9d7","observation_id":"5db815ae-257f-429b-ad54-d2c7993d01df","resolution":{"observed_at":"2026-08-16T11:46:26.431062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.411605Z","title":"Devlin, M","venue":null,"work_id":"a11d70a6-04b4-4582-84f0-9493c84caec7","year":2019},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.742339Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:6c560ab34603f78dca066b2d348702a51c1ed7d954f5a1e9b99c3e48d62cca9f","observation_id":"d5d654d5-5823-45cc-b7da-bcdad14fab23","resolution":{"observed_at":"2026-08-16T11:46:26.415951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.397573Z","title":"Huang, J","venue":null,"work_id":"57fd5c5f-7e92-4dff-9a14-74fae937a609","year":2021},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.746740Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:085e76118ba6d562f2cf0617846bad221fe21b9084011bd7cf8373e156398d11","observation_id":"08daaa2b-f6a0-4cc6-81b9-5c68d74646b1","resolution":{"observed_at":"2026-08-16T11:46:26.401956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.19786","last_updated":"2025-03-25T15:52:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-25T15:52:34Z","title":"Gemma 3 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.19786","snapshot_observed_at":"2026-08-16T11:46:25.751095Z","title":"Lee et al., ‘‘Gemma 3: A Multimodal Lightweight Model with 128 k Context,’’ arXiv preprint arXiv:2503.19786, Mar","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.751095Z"},"links":{"cited_paper":"/paper/2503.19786","citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:18be4879b422f332b365ef0e9b5729381edf4fde849d8693a364534d8a70a6e0","observation_id":"d765507d-a61c-4052-a9d5-c86449bc026e","resolution":{"observed_at":"2026-08-16T11:46:25.751095Z","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":"10.1007/978-981-16-3637-0_1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-17T11:03:46.409680Z","title":"Jadouli and C","venue":"Smart innovation, systems and technologies","work_id":"b5d9ca06-bf27-4ba8-a299-0391a79c3baf","year":2022},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.755556Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:d3baa030ee8f977d55b63f1da5d1884988d9a1d0a6cdc60022c8a5394576c92c","observation_id":"7e457315-512b-4472-9324-bd28268c3065","resolution":{"observed_at":"2026-08-16T11:46:25.840499Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:25.759698Z","title":"Jadouli and C","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.759698Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:6ad25da936d9c713377d7e74c5f62eaeac3f0dfd6987ea428901ed21fe69868e","observation_id":"a8081f8a-690c-4ad2-a4ba-5bd6cd50db15","resolution":{"observed_at":"2026-08-16T11:46:25.759698Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-16T11:46:26.383573Z","title":"Jadouli and C","venue":null,"work_id":"aa6652e2-af83-4e5a-929d-bb9b5223dcac","year":2025},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.763926Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:9cc4443d4b533923f31402c116b6c352228e5a3496b68f90d9dfd806c34cdc70","observation_id":"a112b27d-f7dc-422b-af41-bb7632354637","resolution":{"observed_at":"2026-08-16T11:46:26.387990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.368736Z","title":"Jadouli and C","venue":null,"work_id":"e4481596-cca1-4044-ba11-c8429241c085","year":2025},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.767976Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:fc72016172bdee5af404c858b04d56a0f87e2dccc06f7d56d0b31c1da196eb5e","observation_id":"7fd2a3ce-8229-418b-9f2a-dcbb6cf31455","resolution":{"observed_at":"2026-08-16T11:46:26.373254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:25.772130Z","title":"INTERNAL WORLD","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.772130Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:d15102b53121bd88d57b378535694c0818513a926a1f2781a761eab8a9b09661","observation_id":"05c8d43f-b6cb-4287-bd38-92b96dc81800","resolution":{"observed_at":"2026-08-16T11:46:25.772130Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-16T11:46:26.353612Z","title":null,"venue":null,"work_id":"175a669e-349d-4cba-b10e-09793a40a213","year":null},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.776690Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:1fb4cbc2fc4527bdb54cae98bf5f6f9ee9990c23adaa0c6a9bd8d0e14ed2d017","observation_id":"7d99d861-ad93-4541-baef-cfb07a495654","resolution":{"observed_at":"2026-08-16T11:46:26.357960Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.339096Z","title":"Figure 14","venue":null,"work_id":"72b91f53-5686-43eb-89e5-ffcd9aaecd33","year":null},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.781396Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:bcbf2280aa9f5fa0939ecf392e9e75ffc50df86934185f578cafd0b9618be3dc","observation_id":"559ab28f-b754-4922-9b4d-9f2c886ea26f","resolution":{"observed_at":"2026-08-16T11:46:26.343403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.325440Z","title":null,"venue":null,"work_id":"ad7ac0bd-07f6-43b7-a207-b30ebfa9f683","year":null},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.785771Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:99430b2519a15894eb70dad8df644f2a7a002c7b560f0be5b5ef9e90c8ba83a2","observation_id":"d14ef62b-1a76-4a33-b40f-e2095e512131","resolution":{"observed_at":"2026-08-16T11:46:26.329788Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.310931Z","title":null,"venue":null,"work_id":"29b487f1-8da4-4370-a984-ad144f113c67","year":null},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.790089Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:b14cea42c435960cda4b806127099911614844a61e6254817b8b63a9f449a384","observation_id":"8664e86a-7a40-404e-a886-23e3f2c175dd","resolution":{"observed_at":"2026-08-16T11:46:26.315781Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:46:26.296699Z","title":"The entire workflow—from raw data ingestion and branch projection to probability output—forms the backbone of the experimental pipeline evaluated in Section IV","venue":null,"work_id":"de3d15fc-461d-4aef-a055-a873a329b700","year":2023},"citing_paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T11:46:25.794425Z"},"links":{"citing_paper":"/paper/2504.18562"},"observation_digest":"sha256:15b0ce17e6330a1f4c6779dd415a661a1d85719cea2f59254b89f43460440a78","observation_id":"ebd58ce7-d53c-4f02-bb0e-909ffca495ef","resolution":{"observed_at":"2026-08-16T11:46:26.301407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2504.18562","last_updated":"2025-04-20T18:02:22Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-21T01:48:48.402533Z","submitted_at":"2025-04-20T18:02:22Z","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":20,"verified_exact":6,"verified_fuzzy":18},"total_outbound_references":46},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2504.18562."}