{"as_of":"2026-08-19T00:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:78daf37904666e8ea0de7337d2f403b1eb67dccce0a7b35982f301bf896245f4","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:38:08.791423Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2504.15139/citation-record","integrity":"/paper/2504.15139/integrity","json":"/paper/2504.15139/citation-record.json","paper":"/paper/2504.15139"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:38:09.569925Z","title":"Designing steganographic distortion using directional filters,","venue":null,"work_id":"7885e0cd-acf1-48fe-b4cf-98b8d8a0d57a","year":2012},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.544982Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:6deb8327e15a01fc811fc929658c4b7d9fdef14414095bf8a46c0ba59e8cd0cc","observation_id":"6cbb3c37-05f8-4af2-92bd-dd0b6aa59753","resolution":{"observed_at":"2026-08-16T11:38:09.574630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:09.554459Z","title":"Universal distortion function for steganography in an arbitrary domain,","venue":null,"work_id":"9339395b-2dc5-4dc9-bb9b-73a7eca11679","year":2014},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.550375Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:b1f9d7a1109432815a5bc7be442108cec32180929cdc6f5b6d5b0aeb94cca480","observation_id":"4bac2618-71dc-49cd-887c-002bb0953d3e","resolution":{"observed_at":"2026-08-16T11:38:09.559222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:09.539676Z","title":"A new cost function for spatial image steganography,","venue":null,"work_id":"5f2ddb50-ce0d-4219-b341-562842c50bad","year":2014},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.555390Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:471e5891837dea621f757bd464be322f0a61a7b3339652c52e2ad0a00226e3a1","observation_id":"aff30c32-9e31-481b-9123-b27b87e2ec1e","resolution":{"observed_at":"2026-08-16T11:38:09.544461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:09.524219Z","title":"Content-adaptive steganog- raphy by minimizing statistical detectability,","venue":null,"work_id":"12abcc7e-989f-458c-9cb9-ae74127abf47","year":2015},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.560441Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:4f8d3ded6a11048a4488025a7f888559f25240ffed7529ea6e1e2cb2ef8b2949","observation_id":"b20f6b65-7e99-4b02-ad3d-08b9075e7ff9","resolution":{"observed_at":"2026-08-16T11:38:09.529576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:09.508951Z","title":"Using statistical image model for jpeg steganography: Uniform embedding revisited,","venue":null,"work_id":"6c1cd747-d2fe-47ec-b334-d312d08807b8","year":2015},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.565107Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:5f4d8512faf9d2fdce8807dd96ca17595b4b0e4f5a09c37592c738741b4a450c","observation_id":"fc5b2ff5-b312-4a02-8bb2-fa25cad838aa","resolution":{"observed_at":"2026-08-16T11:38:09.514729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:09.492781Z","title":"Automatic steganographic distortion learning using a generative adversarial network,","venue":null,"work_id":"998eff59-207a-4787-a33f-77e366316077","year":2017},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.569821Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:de995f775279c846e30ca32d741a0a0db298e49dc359237a997def1d9ae57512","observation_id":"b99eca0b-6460-4083-af87-c77f1ad81fb7","resolution":{"observed_at":"2026-08-16T11:38:09.498226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:09.477016Z","title":"An embedding cost learning framework using gan,","venue":null,"work_id":"6cecb96a-cfea-4a78-a5f0-04484e21c806","year":2019},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.575325Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:9144141cb96e87088dd41372c3d295034457e7cd608023fc112854a1e1d53a78","observation_id":"985913a3-7876-4633-8228-381372ca3056","resolution":{"observed_at":"2026-08-16T11:38:09.481664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:09.461973Z","title":"Steganography embedding cost learning with generative multi-adversarial network,","venue":null,"work_id":"8c045902-ad26-4aca-94b0-bf343cd09f98","year":2023},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.580254Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:7e4967ef698bcec875156e57d059423ef114c8d1ba9d53c8575f191b2e86063f","observation_id":"16953a11-94ca-45d1-a15a-6fc44ccd588a","resolution":{"observed_at":"2026-08-16T11:38:09.466951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:09.446229Z","title":"Channel attention image steganography with generative adversarial networks,","venue":null,"work_id":"6b3cb554-c5d8-445d-b3ca-65090919e508","year":2021},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.585072Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:9d396a27a2fc5ed4342af2331c3abf6d55e902a0cf9b1f723f60dee52f333962","observation_id":"158748e8-ff69-4dba-a4c8-b361d38776bf","resolution":{"observed_at":"2026-08-16T11:38:09.451245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:09.429670Z","title":"A robust coverless im- age steganography based on an end-to-end hash generation model,","venue":null,"work_id":"35ea0954-d464-426f-a6b5-55cefcff0cc9","year":2023},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.589599Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:388e0e875bdb7d9112b3c0decbf73bbbb320037a051756d0438c46b01361185f","observation_id":"f73dcabb-43c6-472d-ba20-988295816913","resolution":{"observed_at":"2026-08-16T11:38:09.435548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:09.413607Z","title":"Lightweight and effective deep image steganalysis network,","venue":null,"work_id":"a0bc18f0-236f-47c5-8980-3afb1a73a752","year":2022},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.594774Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:667a4073a980af411de081f1806f939e5e62fbb1f84593842123fe4810d9b6e3","observation_id":"723d1d5f-2c0b-4c81-a749-a541b4afac7e","resolution":{"observed_at":"2026-08-16T11:38:09.419221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:08.600199Z","title":"High- resolution image synthesis with latent diffusion models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.600199Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:aaebebabc983058ebcaa46a6da89c6159bc402afb9b95ebb277ad2794a95ee2a","observation_id":"2851b98c-cc64-4b59-9842-2046c79d9740","resolution":{"observed_at":"2026-08-16T11:38:08.600199Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1901.03892","last_updated":"2019-01-30T03:39:54Z","snapshot_observed_at":"2026-08-18T20:56:28.191189Z","submitted_at":"2019-01-12T18:47:38Z","title":"SteganoGAN: High Capacity Image Steganography with GANs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.03892","snapshot_observed_at":"2026-08-16T11:38:08.604861Z","title":"Steganogan: High capacity image steganography with gans,","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.604861Z"},"links":{"cited_paper":"/paper/1901.03892","citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:41f93749a38cc6a7fe4f7ff51506bf6dac260e6efbd6f063a2267b9bd9f3fd0f","observation_id":"8381ceb8-6031-4187-acce-52c746feb959","resolution":{"observed_at":"2026-08-16T11:38:08.604861Z","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":"2026-08-16T11:38:09.386340Z","title":"Minimizing additive distortion in steganography using syndrome-trellis codes,","venue":null,"work_id":"81fb965c-56fb-4d69-8cac-112b263c0ce0","year":2011},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.609905Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:e4db7eb95938c0822f175b284116e2cc2f4c78b090b8c5f0191a7e2352d6cb50","observation_id":"077e0277-0523-4f9f-93a3-ef1e2ffd844b","resolution":{"observed_at":"2026-08-16T11:38:09.391816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:09.368825Z","title":"Fast and effective global covariance pooling network for image steganalysis,","venue":null,"work_id":"19c36f3b-94e3-4d21-9a8f-f2e9c2ce9863","year":2019},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.614576Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:67ee85d5c8a39e04a0427a2f9f104de33e7c9856a9478f4aea225f1cce717649","observation_id":"fb82c6e0-d3a6-41d6-965c-77fe6b4426be","resolution":{"observed_at":"2026-08-16T11:38:09.373825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:09.352792Z","title":"Image disentanglement autoencoder for steganography without embedding,","venue":null,"work_id":"e53491f3-0624-42a3-8a1a-e35a296d5bda","year":2022},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.619252Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:1e3cc04a23bbee0864eb3374d6e9759f7bdca5a029f91432dc94c2f7df9e84af","observation_id":"08915c63-62b5-4e96-9f3b-3a4f5c732e08","resolution":{"observed_at":"2026-08-16T11:38:09.357912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:09.336105Z","title":"Generative steganography network,","venue":null,"work_id":"8e83f319-4d5f-4fe2-a483-4d85cd5c2ee1","year":2022},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.624005Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:dcb3e71c5606a95ef6a16cbc369168c50a0d61a01d93cb9c74365fccf9a7a36f","observation_id":"6670c532-e96f-4be5-b50f-3887ec22959e","resolution":{"observed_at":"2026-08-16T11:38:09.341328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:09.319210Z","title":"Stegad- dpm: Generative image steganography based on denoising diffusion probabilistic model,","venue":null,"work_id":"a08d5d9a-fa4e-4844-960b-df276871328c","year":2023},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.628705Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:fb869d935f7cd3648475c0725c46a98e58528e7be4968839daae710028b81ecc","observation_id":"921ee4cf-7385-4925-a5c1-5ab1fcf18f04","resolution":{"observed_at":"2026-08-16T11:38:09.324575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:09.302745Z","title":"Yedroudj-net: An efficient cnn for spatial steganalysis,","venue":null,"work_id":"00ba046a-4cb1-46a2-b6ca-f7ec6cfdda0a","year":2018},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.633054Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:e3da0e9fff7cdd7df4551a4b1bda8d8603a346395a22f20511ee9f656c984a9f","observation_id":"224bfe02-d1de-4d60-91b7-7eebad846064","resolution":{"observed_at":"2026-08-16T11:38:09.307816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:08.638023Z","title":"On the limits of steganography,","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.638023Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:f5dd0d20c9c58c2004d90d00c21302c40b977a73a8b9746bce5bfe7b132f954c","observation_id":"a5b5425d-a36b-41cc-b4b0-d0f8881df738","resolution":{"observed_at":"2026-08-16T11:38:08.638023Z","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":"2026-08-16T11:38:09.276068Z","title":"Practical steganalysis of digital images: state of the art,","venue":null,"work_id":"de34d42f-4049-4234-a10f-458b936a8cca","year":2002},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.642658Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:4df00172e8315434b70808550538d75fc947e5732461c3edade16c2767cfb89a","observation_id":"bc57a6dc-6f78-4d23-b020-b07ee0045193","resolution":{"observed_at":"2026-08-16T11:38:09.281731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:08.647154Z","title":"Lsb matching revisited,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.647154Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:1b60acbb4b9873fefd5fd91affd4bf7e72c73b2b23786575aa3851fa52a32a8b","observation_id":"64ee4b13-6288-45a1-b549-28169b1f18f3","resolution":{"observed_at":"2026-08-16T11:38:08.647154Z","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":"2026-08-16T11:38:09.249406Z","title":"Gibbs construction in steganography,","venue":null,"work_id":"50a65532-5747-4205-863a-f5398e47dcb8","year":2010},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.651831Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:fb245affe392e037e1d9d17cab1d968f6352333c71086607019fdcf7abce60f8","observation_id":"ef33a928-7ebd-4084-a248-b9de43672969","resolution":{"observed_at":"2026-08-16T11:38:09.255081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:09.232148Z","title":"Optimality of polar codes in additive steganography under constant distortion profile,","venue":null,"work_id":"fa21f3ef-ecaa-4c16-9db6-4ee6279e048b","year":2022},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.657239Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:e4cc5606eb9b6cf694ce45ec31383fbd5c47e84b0812d41e8f52170a02ac81a5","observation_id":"5a0034de-fdd5-4f7d-b00e-cab762b1f40d","resolution":{"observed_at":"2026-08-16T11:38:09.236869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:08.661806Z","title":"Distribution-preserving steganography based on text-to-speech genera- tive models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.661806Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:3344336690bea356368e123c7f32038e18f2d94c802bbdbe936c61ab60ec2955","observation_id":"4716f68d-f7a4-4641-8a04-b0c0b1aee3b5","resolution":{"observed_at":"2026-08-16T11:38:08.661806Z","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":"2026-08-16T11:38:09.206341Z","title":"Structural design of convolutional neural networks for steganalysis,","venue":null,"work_id":"a5f755be-558a-4503-9f72-7fcfaec9a0e8","year":2016},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.666305Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:a8da0b6f1eb75575e904554caa44cad63c527dbca287afeccbbf0f1a4424f4b6","observation_id":"0ca1e306-8d30-488f-ba84-0fd117fddbf6","resolution":{"observed_at":"2026-08-16T11:38:09.211969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:08.670634Z","title":"Denoising diffusion probabilistic models,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.670634Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:c60e00660ff398dd005095d51194873fce87675068d76e3a2ebdbc05784cf1f4","observation_id":"5243e6c8-42ac-4879-8459-3c8c9f60d514","resolution":{"observed_at":"2026-08-16T11:38:08.670634Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:38:08.675702Z","title":"Generative adversarial text to image synthesis,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.675702Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:1e1be761e3b636d535701d298e11b452517928793a9c291fb89cb1474f011341","observation_id":"743312c1-ccfd-45d5-8319-b3be43bc701d","resolution":{"observed_at":"2026-08-16T11:38:08.675702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:38:08.680455Z","title":"Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.680455Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:693d531c42a81141c869a24c373dbeefc0debad390bbf74fcdedeb7bf549f524","observation_id":"49929da8-bbdf-446b-90bd-1205f22d9cc4","resolution":{"observed_at":"2026-08-16T11:38:08.680455Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:38:08.685360Z","title":"Attngan: Fine-grained text to image generation with attentional generative adversarial networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.685360Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:3243fe3f3232954052b357428e8e2eaf3b07ecc426047dbdf8c21560a8d2e108","observation_id":"80ab4e2e-59cc-4b14-9af5-19c422c58ee8","resolution":{"observed_at":"2026-08-16T11:38:08.685360Z","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":"2026-08-16T11:38:09.147030Z","title":"Controllable text-to- image generation,","venue":null,"work_id":"f7ccb913-993b-48c3-910e-d2bb27c84147","year":2019},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.689711Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:fa6d55c9c032ff0a377c34022775412c77f5dbdb5e9230a686254b78ea64120e","observation_id":"285c2152-4e1c-48a7-8b46-91a5e5df9a57","resolution":{"observed_at":"2026-08-16T11:38:09.153313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:08.694311Z","title":"Zero-shot text-to-image generation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.694311Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:3c6f6d9b28debedc07a0c4dd914f1e74da69c15e742ee1c58807bc58289080d6","observation_id":"ba810704-d206-4faa-bbe7-35d3f8a77ebd","resolution":{"observed_at":"2026-08-16T11:38:08.694311Z","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":"2026-08-16T11:38:09.116390Z","title":"Gpt-4 technical report,","venue":null,"work_id":"d629e2b7-b161-4e15-9a89-f46f59e0a042","year":2023},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.698821Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:d1a566b943dbac22e4376fb7f45c84521c5e8062fcdcef714f67aee180a23d9d","observation_id":"424aabf7-f0c9-46a3-88bb-b555a0e9ae83","resolution":{"observed_at":"2026-08-16T11:38:09.121503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:08.703186Z","title":"Photorealistic text-to-image diffusion models with deep language understanding,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.703186Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:8956ca18e33e17ca3201d5dbdc432451a1f7801f27ae9c334f33effc35c102db","observation_id":"adac0962-198b-4cc3-948a-2ba2ec846c11","resolution":{"observed_at":"2026-08-16T11:38:08.703186Z","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":"2026-08-16T11:38:09.086942Z","title":"Attention based data hiding with generative adversarial net- works,","venue":null,"work_id":"a6dffba1-03f7-4a6e-bfcd-39bb6c00c01b","year":2020},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.707923Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:d500b4f3c82a261b2fe43239d48160a23b85d910480ff408e07be0ce4e9daf9f","observation_id":"ff9f85d6-d5a5-48e5-afd0-8baaff4803ed","resolution":{"observed_at":"2026-08-16T11:38:09.092164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:09.067252Z","title":"High-capacity convolutional video steganography with temporal residual modeling,","venue":null,"work_id":"cce0f31d-64bc-4402-8c68-f093ce896f73","year":2019},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.712986Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:ce33866d368ac92a052df0d97625a591e3cddc3d5b318c0bd6ac54273e2b752e","observation_id":"c4d5664d-ae55-4634-ba9b-d9e327e049f2","resolution":{"observed_at":"2026-08-16T11:38:09.073785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:09.048808Z","title":"Deepmih: Deep invertible network for multiple image hiding,","venue":null,"work_id":"69097629-a758-486e-9850-1d470c80457c","year":2022},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.722765Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:48c332d2f493380cf1f79fc9b405c5f054095db4ebf16a59011870285f8fc106","observation_id":"90c15384-de58-462a-b8d1-bbc09c2e0160","resolution":{"observed_at":"2026-08-16T11:38:09.054866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:08.727357Z","title":"Imagenet: A large-scale hierarchical image database,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.727357Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:8d5037f17659b9a0dc1993a31dbf4ad0b97936ada03a993305b5b923cc5cdf5c","observation_id":"86bdca11-e0c1-41c4-8d02-88d007930e66","resolution":{"observed_at":"2026-08-16T11:38:08.727357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:38:08.731942Z","title":"Deep residual network for steganalysis of digital images,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.731942Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:bb3a9aaedb835f354e42974f2bd3241cbd001bd9dbfec902db06ff638728837f","observation_id":"5e6b194a-6079-440e-939e-7033f73e6d22","resolution":{"observed_at":"2026-08-16T11:38:08.731942Z","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":"2026-08-16T11:38:09.009451Z","title":"Improving image generation with better captions,","venue":null,"work_id":"695e2521-1b67-474b-8183-199c32804a95","year":2023},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.736558Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:d21f007ffdf629b67a76e51df02900c9c7cb561cfe789369dba2efee9f9ffc98","observation_id":"5c73cd23-231e-4533-a274-ed09422701fe","resolution":{"observed_at":"2026-08-16T11:38:09.014488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:08.741034Z","title":"Generative adversarial networks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.741034Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:2b60889d1d4c2355bfa2625ddb6e333faa08b88f11cd0adf89f7bf5454ad9d02","observation_id":"d1f247e5-cfd7-4fd5-b0fc-7c4aa140acdf","resolution":{"observed_at":"2026-08-16T11:38:08.741034Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:38:08.746129Z","title":"Rich models for steganalysis of digital images,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.746129Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:3d3f69c74cea7c850299de338de1873f28f18b9323c02354cf47ee328b809bdb","observation_id":"209672a8-da95-400b-bece-e5dfbd269345","resolution":{"observed_at":"2026-08-16T11:38:08.746129Z","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":"2026-08-16T11:38:08.971726Z","title":"Defining cost functions for adaptive jpeg steganography at the microscale,","venue":null,"work_id":"2f34dfd4-61ff-4c81-9bce-bf63113fcbe0","year":2018},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.752109Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:2b9b5e70e77684745ce6003fc0c9f727ceb7f88dd8792cd56ddda8a155b16eda","observation_id":"12d64425-e76c-45d8-82cb-38666a19ef22","resolution":{"observed_at":"2026-08-16T11:38:08.976609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:08.956349Z","title":"Ldgm codes based near- optimal coding for adaptive steganography,","venue":null,"work_id":"1994e58e-827b-4a1c-b035-bc9c6d648840","year":2023},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.757547Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:c47f7e45e5d5c91fd1145c819dac3b01e1342a9fb785e05e430006dd99058c14","observation_id":"fa25b18e-5781-429a-af52-749a0c211d19","resolution":{"observed_at":"2026-08-16T11:38:08.961638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:08.939487Z","title":"Steganography via cover-source switching,","venue":null,"work_id":"b60174cc-c5f2-4e13-a1cd-a5af8e7b4475","year":2016},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.763437Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:42c6d3d9f058664aa105c55bc108480c4b83790be859ae43beb84d4e0a31c871","observation_id":"b23c8a5c-34cc-40c2-b9eb-ddff295841cc","resolution":{"observed_at":"2026-08-16T11:38:08.945100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:08.922357Z","title":"Steganography with generated images: Leveraging volatility to enhance security,","venue":null,"work_id":"03b3a761-70b8-461b-9785-f77aaf974569","year":2023},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.768138Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:60e2eb03f2c9bdaa55292157fa9da33a7af8fbb2af3a801bc40304506b75caa2","observation_id":"9fe4a1b2-e93a-4f1d-a719-c9f1b46ab77e","resolution":{"observed_at":"2026-08-16T11:38:08.927420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.14896","last_updated":"2023-07-06T11:53:19Z","snapshot_observed_at":"2026-08-16T16:20:53.427900Z","submitted_at":"2022-10-26T17:54:20Z","title":"DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.14896","snapshot_observed_at":"2026-08-16T11:38:08.772771Z","title":"Diffusiondb: A large-scale prompt gallery dataset for text-to- image generative models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.772771Z"},"links":{"cited_paper":"/paper/2210.14896","citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:4daae05eda034ed90c7a25af3cab0da6c960224230f525485a3aed15d4a32367","observation_id":"54fa15df-b28c-4576-9b4e-8f8c16dca911","resolution":{"observed_at":"2026-08-16T11:38:08.772771Z","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":"2026-08-16T11:38:08.905589Z","title":"A steganography immunoprocess- ing framework against cnn-based and handcrafted steganalysis,","venue":null,"work_id":"0816e688-f42e-4319-93ad-467380a8475c","year":2024},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.777322Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:cf6cdcb7d40a559d744731585f321e8b7e2f35a08569f083de8694357f31335a","observation_id":"1c6a2e77-ee82-4dac-9896-51000462f276","resolution":{"observed_at":"2026-08-16T11:38:08.910879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:08.890195Z","title":"Genimage: A million-scale benchmark for detecting ai- generated image,","venue":null,"work_id":"6f6e7bf5-4eb3-4041-899b-831c53251337","year":2023},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.782097Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:2046cfbf643a21f75707b7f96f7b3041f70a19b8f735156ba07194387c0f5e3c","observation_id":"bd300889-a64c-4d41-a9f5-ec2770cf6685","resolution":{"observed_at":"2026-08-16T11:38:08.895208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:08.874039Z","title":"Gan-based adaptive cost learning for enhanced image steganography security,","venue":null,"work_id":"8941b7b8-cdea-431c-91a6-afb6bfc33f1e","year":2024},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.786602Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:3b65e29f96250159005253015a528913f3c841b0bb862c84e68dc5fb0ce1a383","observation_id":"b9823aa4-b50d-4937-be45-42ad2f9c8529","resolution":{"observed_at":"2026-08-16T11:38:08.879666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:38:08.856398Z","title":"Journeydb: A benchmark for generative image understanding,","venue":null,"work_id":"d6b4a81b-614d-406d-a3c6-e72caf0bed9c","year":2023},"citing_paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-16T11:38:08.791423Z"},"links":{"citing_paper":"/paper/2504.15139"},"observation_digest":"sha256:1e757798b2c75d1b369fd828a748a517beb84eff1c2cc2e0b98c944fa3c83dd4","observation_id":"ddab5565-34fb-45aa-80b8-6c5c212bc134","resolution":{"observed_at":"2026-08-16T11:38:08.862965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2504.15139","last_updated":"2025-04-21T14:43:00Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-18T20:57:08.358124Z","submitted_at":"2025-04-21T14:43:00Z","title":"GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":0,"verified_fuzzy":35},"total_outbound_references":51},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2504.15139."}