{"as_of":"2026-08-09T19:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:aad75f1c42b98baefc21ba3ec9dd98e1f51233c47c70fc93a42bef662ed48471","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-30T16:18:10.179875Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2607.23673/citation-record","integrity":"/paper/2607.23673/integrity","json":"/paper/2607.23673/citation-record.json","paper":"/paper/2607.23673"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T16:18:05.538962Z","title":"Ringmoe: Mixture-of-modality- experts multi-modal foundation models for universal remote sens- ing image interpretation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:05.538962Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:b0fc63755db547a89264d8296c26cc812f8e7e4fee49cdbee5a163f82ff4f154","observation_id":"2bb611f5-234c-40e8-9e85-4a01aca16ff0","resolution":{"observed_at":"2026-07-30T16:18:05.538962Z","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":"2026-07-30T16:18:05.613272Z","title":"Spectralgpt: Spectral remote sensing foundation model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:05.613272Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:f5f95ecd697e50f64abcaec648396a40f6d161fba7d6a677676e82a74da54887","observation_id":"66ec0391-1751-45b5-a0a9-40460e6ddd4a","resolution":{"observed_at":"2026-07-30T16:18:05.613272Z","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":"2026-07-30T16:18:05.658352Z","title":"Focus-n-fix: Region-aware fine- tuning for text-to-image generation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:05.658352Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:bc729581e3805cdfae005cd4f7d63da30339bb500113113216387cf9e272d358","observation_id":"01bf6c7c-ec91-4af0-b0a8-b826fe2cd61f","resolution":{"observed_at":"2026-07-30T16:18:05.658352Z","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":"2026-07-30T16:18:05.704062Z","title":"Conceptguard: Continual personalized text- to-image generation with forgetting and confusion mitigation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:05.704062Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:2a45eff1af57bd0be29dda4dbe98f99a067336a1006261824bdef981dcf726fe","observation_id":"67c2ee4e-e0fc-41ee-93a7-a03fd38f1a05","resolution":{"observed_at":"2026-07-30T16:18:05.704062Z","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":"2026-07-30T16:18:05.769698Z","title":"Text-guided diverse image synthesis for long-tailed remote sensing object classification,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:05.769698Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:4ad80e0c22737633ce1937895cb9bda56fed9c4ccde9e606e1a23597849cf827","observation_id":"2e37f20e-047c-4a55-9497-c580d14bb5b0","resolution":{"observed_at":"2026-07-30T16:18:05.769698Z","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":"2026-07-30T16:18:05.838894Z","title":"Text2earth: Unlocking text-driven remote sensing image generation with a global-scale dataset and a foundation model,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:05.838894Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:6e7342decefa7ce379ec2b97467b3aeedd6f67a6b38851251ff95da738cfb15e","observation_id":"70c2e33d-dc11-4059-8370-7823492f1019","resolution":{"observed_at":"2026-07-30T16:18:05.838894Z","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":"2026-07-30T16:18:05.895710Z","title":"Metaearth: A generative foundation model for global-scale remote sensing,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:05.895710Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:dabbab71fd071684dff0344ac5b49ae3ab0754c4551b63f867216a5ff07cfd4a","observation_id":"93b9a2cd-7dfc-407b-adbe-be2caf908178","resolution":{"observed_at":"2026-07-30T16:18:05.895710Z","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":"2026-07-30T16:18:05.952743Z","title":"High-resolution image synthesis with latent diffusion models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:05.952743Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:175020b17f860bc14ed169be96086ae433201156c7f5e74855d520954f39066e","observation_id":"6a4e74d8-2ec3-4d3d-9208-71488b5f95ae","resolution":{"observed_at":"2026-07-30T16:18:05.952743Z","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":"2026-07-30T16:18:06.013711Z","title":"Remote sensing image gen- eration via object text decoupling,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:06.013711Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:649572fb11e89c5417ee8b756eb81cc2a6d694d472233fe74c7ca722a86b0917","observation_id":"4e6717d7-b09b-4e31-a349-be0b9bb22bed","resolution":{"observed_at":"2026-07-30T16:18:06.013711Z","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":"2026-07-30T16:18:06.082978Z","title":"Cc-diff++: Spatially controllable text-to-image synthesis for remote sensing with en- hanced contextual coherence,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:06.082978Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:33146e2c366e225158892c0a98142cb7ff3467c1f4c503834de2eb324b4862cf","observation_id":"df6f7b0e-2549-473f-a28a-9495146e82d6","resolution":{"observed_at":"2026-07-30T16:18:06.082978Z","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":"2026-07-30T16:18:06.154134Z","title":"Mmo-ig: Multi-class and multi-scale object image generation for remote sensing,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:06.154134Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:401190dd0bfc14cf26e0095382592295acb55c3db1f5ae18c085b04276f5dc94","observation_id":"49e9930f-597c-43ae-ad95-85d0917585ec","resolution":{"observed_at":"2026-07-30T16:18:06.154134Z","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":"2026-07-30T16:18:06.203490Z","title":"Rsdiff: Remote sensing image gen- eration from text using diffusion model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:06.203490Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:f323635ac71c311d15cc135a261e9a9e99a2798c9992eb27c922422fc419ca73","observation_id":"98efd29e-024b-4fdf-a0e0-9cc172f5c3d2","resolution":{"observed_at":"2026-07-30T16:18:06.203490Z","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":"2026-07-30T16:18:06.302141Z","title":"Diffusionsat: A generative foundation model for satellite imagery,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:06.302141Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:302c3f5b2b59f7c0f28bf08366bddfbf8745caa42c2be2ca53e8e0656379a23d","observation_id":"3d6a14b9-2292-4587-9cca-201fa0faf402","resolution":{"observed_at":"2026-07-30T16:18:06.302141Z","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":"2026-07-30T16:18:06.397310Z","title":"Geosynth: Contextually-aware high-resolution satellite image synthesis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:06.397310Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:27452876e20adc7923a0e7feaf7d508ac53e37dfcfb891ffcad0a0d41e245914","observation_id":"ea8851bf-4d53-41b8-98b4-1a38314f2848","resolution":{"observed_at":"2026-07-30T16:18:06.397310Z","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":"2026-07-30T16:18:06.469619Z","title":"Learning disentangled representations for perceptual point cloud quality assessment via mutual information minimization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:06.469619Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:f2859d838e89aa432099c7e5b1788bb774c02fddff1cc6e3c21b82e6241db03b","observation_id":"b5994638-8861-42a9-858f-e731ec58840a","resolution":{"observed_at":"2026-07-30T16:18:06.469619Z","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":"2026-07-30T16:18:06.573084Z","title":"Learning disen- tangled representation for one-shot progressive face swapping,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:06.573084Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:9e300b231ff0febc9553a3680100975e41e13fb3ab57fe7a039b3180049b46c9","observation_id":"925f4407-4bb4-41cf-919e-20b6af80ce90","resolution":{"observed_at":"2026-07-30T16:18:06.573084Z","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":"2026-07-30T16:18:06.664610Z","title":"LoRA: Low-rank adaptation of large language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:06.664610Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:dda6966af8edf990b0875e7c2f5d2a421de9fea16c18f5b81207cd2ee17419d5","observation_id":"4f19584d-8fbb-4d6c-896b-fcd6666423f0","resolution":{"observed_at":"2026-07-30T16:18:06.664610Z","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":"2026-07-30T16:18:06.718336Z","title":"Implicit style-content separation using b-lora,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:06.718336Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:4422eda99bd9eabe01fc7d9604f10e003e504e0bc0bbf16c98fc3933d5d6deba","observation_id":"71d03d4e-a14c-4f1e-afea-29bd42ebe8d4","resolution":{"observed_at":"2026-07-30T16:18:06.718336Z","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":"2026-07-30T16:18:06.784572Z","title":"Ziplora: Any subject in any style by effectively merging loras,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:06.784572Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:3a1d0c6e9dd43bd2d6a8974fa497241b0a57216134527952e642b4d384ca32bb","observation_id":"a1923781-4fa1-4695-8cf5-06ff54b5ed95","resolution":{"observed_at":"2026-07-30T16:18:06.784572Z","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":"2026-07-30T16:18:06.848647Z","title":"Txt2img-mhn: Remote sensing image generation from text using modern hopfield networks,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:06.848647Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:a7892d4a06e414667d30edf1a8fae0e18caa481017344516b2d28d233340a615","observation_id":"0ad4ab05-235f-49f8-8738-085c591a605c","resolution":{"observed_at":"2026-07-30T16:18:06.848647Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2008.02217","last_updated":"2021-04-28T07:24:49Z","snapshot_observed_at":"2026-08-05T15:08:02.538782Z","submitted_at":"2020-07-16T17:52:37Z","title":"Hopfield Networks is All You Need","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.02217","snapshot_observed_at":"2026-07-30T16:18:06.911418Z","title":"Hopfield networks is all you need,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:06.911418Z"},"links":{"cited_paper":"/paper/2008.02217","citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:d3fba8d575e6faf39d8a3da7e46b34043da38f2cd122b20425897585ca99a9b8","observation_id":"beee217a-be8f-408d-ab40-8246e862919b","resolution":{"observed_at":"2026-07-30T16:18:06.911418Z","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":"2026-07-30T16:18:06.997494Z","title":"Crs-diff: Controllable remote sensing image generation with diffusion model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:06.997494Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:63df880822a81f727d8032b55a5e929f869bc366937c38c5f64b0acdf3dac21a","observation_id":"9f631d47-02fc-4291-bf41-bc24d470c780","resolution":{"observed_at":"2026-07-30T16:18:06.997494Z","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":"2026-07-30T16:18:07.060084Z","title":"Adding conditional control to text-to-image diffusion models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:07.060084Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:8ba6a75a2a753a8679c85c4337eb35593539387e8a6a2eb6edcb3862da3d319e","observation_id":"9fdfad7a-cc6c-4d69-8e64-dd2f8f950088","resolution":{"observed_at":"2026-07-30T16:18:07.060084Z","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":"2026-07-30T16:18:07.129243Z","title":"Denoising diffusion probabilistic models,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:07.129243Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:464688b7862d624d13b5ec75339846ef7da7ee059e4af4a74ea7912e3c1290e5","observation_id":"5d149879-bca9-4fdf-9057-22113353ad26","resolution":{"observed_at":"2026-07-30T16:18:07.129243Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-07-06T10:01:50.133383Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-07-30T16:18:07.170792Z","title":"Denoising diffusion implicit models,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:07.170792Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:3cb8b304fdb283a8c95857b0cdc789a17f582299c180fd0e95e05a55f337a159","observation_id":"761fd93a-05a6-4c9f-9b7f-38792ae74f35","resolution":{"observed_at":"2026-07-30T16:18:07.170792Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.06125","last_updated":"2022-04-13T01:10:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-13T01:10:33Z","title":"Hierarchical Text-Conditional Image Generation with CLIP Latents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.06125","snapshot_observed_at":"2026-07-30T16:18:07.227931Z","title":"Hierarchical text- conditional image generation with clip latents,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:07.227931Z"},"links":{"cited_paper":"/paper/2204.06125","citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:2729cef11d46d29c7265ba7be22d2c5d7411e393e4ff395a5ce65c67819899e1","observation_id":"5b899720-b6c3-43da-ab1b-a6b55cf6e07b","resolution":{"observed_at":"2026-07-30T16:18:07.227931Z","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":"2026-07-30T16:18:07.318110Z","title":"Photorealistic text-to-image diffusion models with deep language understanding,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:07.318110Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:e4ab4918fbc4641cf0de1f6be7d778eb51209249a4f500303556746e4f002b3b","observation_id":"d0d723d9-7542-45ab-b1d5-bb80aee108c4","resolution":{"observed_at":"2026-07-30T16:18:07.318110Z","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":"2026-07-30T16:18:07.416985Z","title":"Learning transferable visual models from natural language supervision,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:07.416985Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:38d7e5262f440a26fd3d7be32bfbb7cdc2989cfc013226c85ad94cf82bdd6a7c","observation_id":"f3a2788a-eeea-4a22-bc48-9992a9801f2d","resolution":{"observed_at":"2026-07-30T16:18:07.416985Z","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":"2026-07-30T16:18:07.491830Z","title":"Unic-adapter: Unified image- instruction adapter with multi-modal transformer for image gen- eration,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:07.491830Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:d6ec9445be2bc72262789af697fe1e02fa71d5034ece4693e9eba3dd5bf2d773","observation_id":"88c2e662-e076-4765-b622-13359d1e0ac0","resolution":{"observed_at":"2026-07-30T16:18:07.491830Z","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":"2026-07-30T16:18:07.590860Z","title":"Alignguard: Scalable safety align- ment for text-to-image generation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:07.590860Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:ab2906223efd3c1051f7e94921423971a0620d35378fce914c87eb49549acd7a","observation_id":"b739b37c-5758-448c-b391-47c2be12d67b","resolution":{"observed_at":"2026-07-30T16:18:07.590860Z","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":"2026-07-30T16:18:07.657596Z","title":"Enhancing mmdit-based text-to-image models for similar subject generation,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:07.657596Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:c7adb1cd70bc772ede32d1d92fde417ad513c5568184ffdf4bde22edd35b9306","observation_id":"09f5d281-da6e-4c51-af41-7ae13e4e4f1f","resolution":{"observed_at":"2026-07-30T16:18:07.657596Z","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":"2026-07-30T16:18:07.748299Z","title":"Cspanet: cross-route statistical partition attention network for style transfer,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:07.748299Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:40aa32a779f827d2b59687804a3f4aefafce1236912561535a033a203b0dd22b","observation_id":"612eaa84-fe58-4075-8ecb-cd2fe24c6418","resolution":{"observed_at":"2026-07-30T16:18:07.748299Z","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":"2026-07-30T16:18:07.847649Z","title":"Disentangled representation learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:07.847649Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:2c81e47948c029f6b27a48d48c97fb5f6e97fcc8c60a2162f2f0cf09301a6a73","observation_id":"485abedf-2977-4bce-8dd3-5473efd132b4","resolution":{"observed_at":"2026-07-30T16:18:07.847649Z","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":"2026-07-30T16:18:07.917514Z","title":"Qr-lora: Efficient and disentangled fine-tuning via qr decomposition for customized generation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:07.917514Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:9c4645a7aa0cc1e763cab5fab7d61df570ff972f81064b3a7d5d9bcd907d2704","observation_id":"0f1be0ed-2fc5-404e-93a3-3b51d2adbe7c","resolution":{"observed_at":"2026-07-30T16:18:07.917514Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-07-30T16:18:08.036216Z","title":"Auto-encoding variational bayes,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:08.036216Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:793cf7453de8e792b88d2d98a489d7c65139455a114974e8115caaeeefcd3a1a","observation_id":"e960b788-4a85-430a-a3fc-827df1592068","resolution":{"observed_at":"2026-07-30T16:18:08.036216Z","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":"2026-07-30T16:18:08.133920Z","title":"Singular value decomposi- tion for genome-wide expression data processing and modeling,","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:08.133920Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:1d4d1f939026d66e89cd7b72820269c404fd8d0c6050799ebdfc03911805ede2","observation_id":"96e6c9c5-040e-467a-800c-b54f2faf17ad","resolution":{"observed_at":"2026-07-30T16:18:08.133920Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-07-30T16:18:08.308579Z","title":"Adam: A method for stochastic optimiza- tion,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:08.308579Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:378907b622d247b21ed51691d3460f8ebada713ed736fe1627ed0a9191e90b07","observation_id":"17235e90-34c2-4602-9787-2714d79ecf13","resolution":{"observed_at":"2026-07-30T16:18:08.308579Z","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":"2026-07-30T16:18:08.450448Z","title":"Mcanet: A joint semantic seg- mentation framework of optical and sar images for land use classification,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:08.450448Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:b79373d3db41794f1f7e5486f1a072e3628e78b248228186b324154cf2dcdbab","observation_id":"8bb99ea1-4146-4bfd-9d86-cc72ec041625","resolution":{"observed_at":"2026-07-30T16:18:08.450448Z","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":"2026-07-30T16:18:08.584721Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:08.584721Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:01a0674c24ae6ca9928ee0c5521b057ed39aafe8d857b4265a166160856c1814","observation_id":"8c88b271-a64e-4dbf-9cf1-4a3e0a81bcc0","resolution":{"observed_at":"2026-07-30T16:18:08.584721Z","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":"2026-07-30T16:18:08.741845Z","title":"Improved techniques for training gans,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:08.741845Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:114820fa1b25819d35624fc1e5896e42f0ddf623142fdeca32347502ff75066b","observation_id":"34543370-58fa-4527-8d98-f2aaed76c653","resolution":{"observed_at":"2026-07-30T16:18:08.741845Z","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":"2026-07-30T16:18:08.888610Z","title":"Remote sensing image scene classification: Benchmark and state of the art,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:08.888610Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:3b4ccb9593dbf05afe685f3dffc917946cc4cbf7873adb74302b52c5e8db0c04","observation_id":"78ed147c-679c-44fc-8436-b54cb4353129","resolution":{"observed_at":"2026-07-30T16:18:08.888610Z","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":"2026-07-30T16:18:09.012783Z","title":"Remote-sensing cross-domain scene classification: A dataset and benchmark,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:09.012783Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:b7bd55c9de41103ea3fefe3a37b4a2dd037992c94629cf8d308d2b4808fcf34e","observation_id":"caf6cf2b-0e6b-4e71-9453-012af6bac155","resolution":{"observed_at":"2026-07-30T16:18:09.012783Z","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":"2026-07-30T16:18:09.176582Z","title":"Sardet-100k: Towards open-source bench- mark and toolkit for large-scale sar object detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:09.176582Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:9ae917b488b453142a1f18b8f158a4f8c9950e1bb3d35b4edbfedcc8f970fe89","observation_id":"5306b86b-539d-42b1-a7b3-5b1f1dfd97a8","resolution":{"observed_at":"2026-07-30T16:18:09.176582Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.12883","last_updated":"2025-03-26T07:37:26Z","snapshot_observed_at":"2026-07-06T18:48:04.031944Z","submitted_at":"2024-07-16T17:58:27Z","title":"BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.12883","snapshot_observed_at":"2026-07-30T16:18:09.321341Z","title":"Bright: A realistic and challeng- ing benchmark for reasoning-intensive retrieval,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:09.321341Z"},"links":{"cited_paper":"/paper/2407.12883","citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:442edc519b99976dc7dac92e0b4425542f4bbcff7fcfcddedcdcfdfcb518dd09","observation_id":"43c4e520-9a85-43b1-9f52-5d64ec59b5d3","resolution":{"observed_at":"2026-07-30T16:18:09.321341Z","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":"2026-07-30T16:18:09.492454Z","title":"Fusar-ship: Building a high-resolution sar-ais matchup dataset of gaofen-3 for ship detection and recognition,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:09.492454Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:7829382798590855c9d7ea716c477f83d4550a9145cbcce52f055bf2d34b5bc4","observation_id":"a1e561e4-c350-4ade-b192-586fed8a760f","resolution":{"observed_at":"2026-07-30T16:18:09.492454Z","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":"2026-07-30T16:18:09.641729Z","title":"Drone-based rgb-infrared cross-modality vehicle detection,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:09.641729Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:32abb42bbfd31b23b4106f728a2183c5dc7b670b0dad6e422905026746b7ab0f","observation_id":"94b81942-e7bb-453f-aeaa-51c0e0e40449","resolution":{"observed_at":"2026-07-30T16:18:09.641729Z","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":"2026-07-30T16:18:09.823834Z","title":"Vehicle detection in aerial imagery (vedai): a benchmark,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:09.823834Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:4ddee3429ab1ef3969f27dd73d4292d9750e440f8f492331e4b04a4e2b26452c","observation_id":"53efbbdd-c4d0-43e3-b832-a3fc686b446a","resolution":{"observed_at":"2026-07-30T16:18:09.823834Z","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":"2026-07-30T16:18:09.968775Z","title":"Df- gan: A simple and effective baseline for text-to-image synthesis,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:09.968775Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:a12419fef0eb850c8dcbba426ed3d916a3d29d444601e8787fabd40be1b3a53f","observation_id":"434958cc-2f5e-40f1-ab68-bad486e52d3d","resolution":{"observed_at":"2026-07-30T16:18:09.968775Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-07-06T03:53:32.549552Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-07-30T16:18:10.083002Z","title":"Very deep convolutional networks for large-scale image recognition,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:10.083002Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:c90557c9f1d26daed7e88dc98feb6a60477716066d89c31d0b6459bf13df0563","observation_id":"cfbc982b-f451-4fdf-998f-206d9f0ee990","resolution":{"observed_at":"2026-07-30T16:18:10.083002Z","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":"2026-07-30T16:18:10.179875Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-30T16:18:10.179875Z"},"links":{"citing_paper":"/paper/2607.23673"},"observation_digest":"sha256:8dfafe57262acab27ac11a8144520168296d829d46325dfa95d3582643f19f17","observation_id":"1f0de0ee-58d9-488b-aa84-24d122987d57","resolution":{"observed_at":"2026-07-30T16:18:10.179875Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.23673","last_updated":"2026-07-26T14:21:06Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-03T01:48:59.297941Z","submitted_at":"2026-07-26T14:21:06Z","title":"Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":50,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":50},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2607.23673."}