{"as_of":"2026-08-18T21:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:aeb2382c0c15f4804018ff99c544eaaa9d24a37d96e0e3b8b6935b58c0194a0e","coverage":[{"denominator":73,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":73,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T19:48:23.191619Z","state":"measured"},{"denominator":73,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":73,"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/2506.15228/citation-record","integrity":"/paper/2506.15228/integrity","json":"/paper/2506.15228/citation-record.json","paper":"/paper/2506.15228"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1802.01436","last_updated":"2018-05-01T05:30:29Z","snapshot_observed_at":"2026-08-14T19:50:03.273877Z","submitted_at":"2018-02-01T00:42:29Z","title":"Variational image compression with a scale hyperprior","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.01436","snapshot_observed_at":"2026-08-15T19:48:22.920241Z","title":"Variational image compression with a scale hyperprior,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.920241Z"},"links":{"cited_paper":"/paper/1802.01436","citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:71085681df9bd64ccc0708b625e6852b6a4c3b880ec0e7223e73d36b9bf98ccf","observation_id":"ce27c9ad-bc4e-4b59-ab13-a12a60204580","resolution":{"observed_at":"2026-08-15T19:48:22.920241Z","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":"2026-08-15T19:48:25.701341Z","title":"Learned image com- pression with discretized gaussian mixture likelihoods and attention modules,","venue":null,"work_id":"c4b20201-cf8f-4b96-a7c1-6429139cc525","year":2020},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.924944Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:7b81b56cee3f8ecda9b458d4805005e2d589b7bb93d54709d1c7052278b6d698","observation_id":"9a6f7665-6d10-4aab-b553-1f81ba2aa0c0","resolution":{"observed_at":"2026-08-15T19:48:25.705209Z","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":"2026-08-15T19:48:22.929189Z","title":"Elic: Efficient learned image compression with unevenly grouped space-channel contextual adaptive coding,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.929189Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:75536f1ee2b30ec3d7fb3d452a8dadbc97f721bb7fa10e76c42f4904f54b286e","observation_id":"f14b5c45-6afd-44d1-a6b3-5b40de2f7c7d","resolution":{"observed_at":"2026-08-15T19:48:22.929189Z","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":"2026-08-15T19:48:25.684203Z","title":"Transtic: Transferring transformer-based image compression from human perception to machine perception,","venue":null,"work_id":"abf1dc96-b077-4602-9869-0aee24880016","year":2023},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.933432Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:a83c6346f542457f8d27609545aefbc958328a2a073638397c24bc6d64e897f4","observation_id":"c211186e-19ca-4ebb-ac52-2fd98accf6d4","resolution":{"observed_at":"2026-08-15T19:48:25.688373Z","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":"2026-08-15T19:48:25.672270Z","title":"The jpeg ai standard: Providing efficient human and machine visual data consumption,","venue":null,"work_id":"c20700a4-a43d-4054-9a03-6d611b658b71","year":2023},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.937463Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:ace7e7342d2f6c63388958d36ade23f7d24599a1b9c207ab97b2ce02dd23d444","observation_id":"e18d8566-3814-4558-9860-921ab3561290","resolution":{"observed_at":"2026-08-15T19:48:25.675379Z","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":"2026-08-15T19:48:25.661206Z","title":"Slimmable multi-task image compression for human and machine vision,","venue":null,"work_id":"ae8da1e1-f14c-499e-a79f-f23b3ff9f174","year":2023},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.941441Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:1393dd8e7ae98f824f3670a1f215481e46405e24b02c6e93759ade638e6e2427","observation_id":"d1e9ecfb-da21-4da1-9e99-77cf2d118cb9","resolution":{"observed_at":"2026-08-15T19:48:25.665070Z","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":"2407.09853","last_updated":"2024-07-13T11:22:41Z","snapshot_observed_at":"2026-08-17T05:46:32.817663Z","submitted_at":"2024-07-13T11:22:41Z","title":"Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation","version":1},"cited_work":{"arxiv_id":"2407.09853","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.09853","snapshot_observed_at":"2026-08-15T19:48:23.536366Z","title":"Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation","venue":"cs.CV","work_id":"5903393b-cb1a-4682-9ec7-73c7e4ea24d4","year":2024},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.946003Z"},"links":{"cited_paper":"/paper/2407.09853","citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:78e3add12b0dccebe9630f7e4d7f8cf0547c9cf7ff61460f997b92467fcd101b","observation_id":"6d977e07-3e8c-42ea-85d6-2eef28becc23","resolution":{"observed_at":"2026-08-15T19:48:23.561847Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-15T19:48:25.650030Z","title":"libwebp,","venue":null,"work_id":"f097d1dc-805d-4871-85ff-b544387131c5","year":2023},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.949749Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:b845a2ee2f371eb6fc8515c24a5bf0d48617f09aad48fce43c09942e6a56c86c","observation_id":"86b1154a-6920-44aa-988b-f9d52495dacc","resolution":{"observed_at":"2026-08-15T19:48:25.654091Z","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":"2026-08-15T19:48:25.579364Z","title":"Slimmable compressive autoencoders for practical neural image compression,","venue":null,"work_id":"95a14c24-8346-424c-b32b-c578bb0bf87c","year":2021},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.953240Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:7a4b170ce3ad164f184b8ee888e12446272a4940f710e5e8aa2d0f3eae68dc97","observation_id":"fa61d0ea-4afe-46a5-bd68-d2fbe93b5317","resolution":{"observed_at":"2026-08-15T19:48:25.603082Z","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":"1812.08928","last_updated":"2018-12-21T03:36:48Z","snapshot_observed_at":"2026-08-14T17:40:05.995607Z","submitted_at":"2018-12-21T03:36:48Z","title":"Slimmable Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.08928","snapshot_observed_at":"2026-08-15T19:48:22.957348Z","title":"Slimmable neural networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.957348Z"},"links":{"cited_paper":"/paper/1812.08928","citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:1b09b1de0ad0e8ff5fbeebe8476233376ac76eba009e06ce3b92dc360bbe5940","observation_id":"72dcd2e1-23e8-412a-ad55-bdb3655c551e","resolution":{"observed_at":"2026-08-15T19:48:22.957348Z","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":"2026-08-15T19:48:25.505311Z","title":"Adanic: Towards practical neural image compression via dynamic transform routing,","venue":null,"work_id":"36e00b66-d814-46cd-ade2-f2de63467727","year":2023},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.961220Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:1ade0c407a486cb53144322b87f34dea43fbd805e97f761a0bf7ecec4ab93920","observation_id":"2bd3bd1a-d7ec-42db-81d7-8a92bdf7e165","resolution":{"observed_at":"2026-08-15T19:48:25.551813Z","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":"2026-08-15T19:48:25.398260Z","title":"Elfic: A learning-based flexible image codec with rate-distortion-complexity optimization,","venue":null,"work_id":"2ca42462-8537-4640-b11a-9f0dd3a93ec5","year":2023},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.964852Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:acff2ed56852fbb5a7bd626cb58b630e042dad39507f2c15c6af7f710c414248","observation_id":"c53037ea-1e93-4a6e-972c-09b0d71f9fe1","resolution":{"observed_at":"2026-08-15T19:48:25.453362Z","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":"2026-08-15T19:48:25.387223Z","title":"Dag-gnn: Dag structure learning with graph neural networks,","venue":null,"work_id":"84e79072-5e0a-46ba-87c8-89d7440a326b","year":2019},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.968863Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:d0f41e5389ff7d9b30f4431cc6b25cb823a04d8bb17f1b8267ef5b7100acfdaf","observation_id":"cdfc2408-53ee-42c5-98e1-64aaf111bb86","resolution":{"observed_at":"2026-08-15T19:48:25.390920Z","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":"2105.11839","last_updated":"2021-12-16T18:28:16Z","snapshot_observed_at":"2026-08-16T18:22:25.040951Z","submitted_at":"2021-05-25T11:23:08Z","title":"DiBS: Differentiable Bayesian Structure Learning","version":3},"cited_work":{"arxiv_id":"2105.11839","doi":null,"metadata_source":"pith","pith_arxiv_id":"2105.11839","snapshot_observed_at":"2026-08-15T19:48:23.397320Z","title":"DiBS: Differentiable Bayesian Structure Learning","venue":"cs.LG","work_id":"d8dc403c-1714-463f-b1fc-54ba2a3d8ec3","year":2021},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.972293Z"},"links":{"cited_paper":"/paper/2105.11839","citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:34e61d7a9bff613ac5e99edd3798ce6423aa07bfa789d5ef30f529b4deb8682b","observation_id":"c91e1566-6b92-460f-b02d-a23634f1d255","resolution":{"observed_at":"2026-08-15T19:48:23.450016Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-15T19:48:25.374666Z","title":"Basic: Bayesnet structure learning for computational scalable neural image compression,","venue":null,"work_id":"d5add329-a888-4f45-ad40-ea22de263f90","year":2024},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.975917Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:fbd85fd56d676392572ff34c6aea862e7f40090153e6cb85c41109875b97a313","observation_id":"603c1ee2-3612-491d-915e-1a3edfc4fd94","resolution":{"observed_at":"2026-08-15T19:48:25.379189Z","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":"1611.01704","last_updated":"2017-03-03T14:53:13Z","snapshot_observed_at":"2026-08-17T05:40:26.135197Z","submitted_at":"2016-11-05T21:39:53Z","title":"End-to-end Optimized Image Compression","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.01704","snapshot_observed_at":"2026-08-15T19:48:22.979538Z","title":"End-to-end optimized image compression,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.979538Z"},"links":{"cited_paper":"/paper/1611.01704","citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:2b1e50b042ba962b90791bd366668dc9065906bac642c20545c35d951031db0f","observation_id":"238c7277-88d7-44cc-ada6-b336d2023d81","resolution":{"observed_at":"2026-08-15T19:48:22.979538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.02736","last_updated":"2018-09-08T01:51:28Z","snapshot_observed_at":"2026-08-17T04:16:51.953523Z","submitted_at":"2018-09-08T01:51:28Z","title":"Joint Autoregressive and Hierarchical Priors for Learned Image Compression","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.02736","snapshot_observed_at":"2026-08-15T19:48:22.983142Z","title":"Joint autoregressive and hierarchical priors for learned image compression,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.983142Z"},"links":{"cited_paper":"/paper/1809.02736","citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:ee647bbd864bd328ee6b0fdd8037b9caed27b37d4ccf50b7cf8ee181d7ad3a8e","observation_id":"d81bda35-bbd1-4bf1-a53e-018ab32fa0e5","resolution":{"observed_at":"2026-08-15T19:48:22.983142Z","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":"2026-08-15T19:48:25.363391Z","title":"Context-adaptive entropy model for end- to-end optimized image compression,","venue":null,"work_id":"0aeb41a1-7636-49cd-9d60-43191b469bd0","year":2018},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.986659Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:751fa66d10b22e189cf2ffe59e56c61c9d35845e6cf07123dcb135cc9a9662b7","observation_id":"cbcd327f-6bdd-440d-9a6a-0a91472f003e","resolution":{"observed_at":"2026-08-15T19:48:25.367086Z","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":"1511.06281","last_updated":"2016-02-29T21:07:30Z","snapshot_observed_at":"2026-08-14T22:22:11.341571Z","submitted_at":"2015-11-19T17:52:01Z","title":"Density Modeling of Images using a Generalized Normalization Transformation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.06281","snapshot_observed_at":"2026-08-15T19:48:22.989866Z","title":"Density modeling of images using a generalized normalization transformation,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.989866Z"},"links":{"cited_paper":"/paper/1511.06281","citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:b7a36c67ee2326e9b31d505689d151bad2e5d0df5e70f3843b95f975d83b9888","observation_id":"ac607634-2c4a-400e-9ffa-c1a706e36622","resolution":{"observed_at":"2026-08-15T19:48:22.989866Z","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":"2026-08-15T19:48:25.352104Z","title":"End- to-end learnt image compression via non-local attention optimization and improved context modeling,","venue":null,"work_id":"7eaa6466-e23b-4357-9b9f-d0fdd5b117eb","year":2019},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.993707Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:2df6611ceb7ff79883fe98a618da6c1450e125e429530bb10707468fb9adc4c3","observation_id":"3b85967a-5472-41f0-b397-3c7c596b34e7","resolution":{"observed_at":"2026-08-15T19:48:25.356312Z","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":"2026-08-15T19:48:25.340056Z","title":"Transformer-based image compression,","venue":null,"work_id":"b8028479-7182-4dcf-954c-09bdcd27d29a","year":2022},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:22.997528Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:1640c688e93e776600c7b743ad1ba55f3d34e19177cdc2dcfe3889834751aeaa","observation_id":"0f084d5b-cfcd-4ca8-b088-996dacffb8d2","resolution":{"observed_at":"2026-08-15T19:48:25.344578Z","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":"2026-08-15T19:48:25.283022Z","title":"Video coding for machines: A paradigm of collaborative compression and intelligent analytics,","venue":null,"work_id":"3d164f73-ebfa-4634-861d-95334ef412fc","year":2020},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.004507Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:55167d543d2ccb1d9486feec7233291230e4d2cad2b0e7a599251d838c17b32f","observation_id":"a975661a-7c2c-4dbc-93d2-9de4b8d839c1","resolution":{"observed_at":"2026-08-15T19:48:25.295093Z","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":"2111.02249","last_updated":"2021-11-03T14:39:09Z","snapshot_observed_at":"2026-08-16T17:44:18.584123Z","submitted_at":"2021-11-03T14:39:09Z","title":"Learned Image Compression for Machine Perception","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.02249","snapshot_observed_at":"2026-08-15T19:48:23.008266Z","title":"Learned image compression for machine perception,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.008266Z"},"links":{"cited_paper":"/paper/2111.02249","citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:706e24d4fe75a4ad4a0be683317281b084a6419912d40597bab4076a8cdade53","observation_id":"835545d9-5d09-4e60-afd2-c3c9089493a4","resolution":{"observed_at":"2026-08-15T19:48:23.008266Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.04178","last_updated":"2021-03-06T19:09:05Z","snapshot_observed_at":"2026-08-16T18:40:46.816629Z","submitted_at":"2021-03-06T19:09:05Z","title":"End-to-end optimized image compression for multiple machine tasks","version":1},"cited_work":{"arxiv_id":"2103.04178","doi":null,"metadata_source":"pith","pith_arxiv_id":"2103.04178","snapshot_observed_at":"2026-08-15T19:48:23.333434Z","title":"End-to-end optimized image compression for multiple machine tasks","venue":"cs.CV","work_id":"b8958061-fa28-4419-abb2-0333d0b540d3","year":2021},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.016440Z"},"links":{"cited_paper":"/paper/2103.04178","citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:6cc5e081080792390266d4240a6113763d066c0777afdcc6ea12532f0b605fae","observation_id":"3b7e78ee-2091-47f5-a621-76fd33f99b05","resolution":{"observed_at":"2026-08-15T19:48:23.337352Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-15T19:48:25.253194Z","title":"Available: https://api.semanticscholar.org/CorpusID: 241033392","venue":null,"work_id":"bd1fd2eb-32e0-4c79-b10a-5e9703da4189","year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.012489Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:ba6ec6fec4351ceeed44f082ba1e0c3763c800340a9c766843b4c88828fbc085","observation_id":"2b55db5d-9092-4a37-b820-5ac6f5dcaf25","resolution":{"observed_at":"2026-08-15T19:48:25.263266Z","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":"2026-08-15T19:48:25.005952Z","title":"Channel-wise autoregressive entropy models for learned image compression,","venue":null,"work_id":"b84b28ee-c0c8-42e7-a36e-dcb386bdbd82","year":2020},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.023724Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:4aa0b2841eb963ae34a1a09516ab9c2dbcc170654d44c1c7c33925e2dd6c7c4f","observation_id":"d544e4f6-dee8-473f-899c-d56caccab7e4","resolution":{"observed_at":"2026-08-15T19:48:25.065862Z","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":"2026-08-15T19:48:25.157982Z","title":"Improving multiple machine vision tasks in the compressed domain,","venue":null,"work_id":"ececdd28-2697-4cfa-af27-d90c6f451b0e","year":2022},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.020070Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:a15f4abb31a5382eea289a156863ce3e425c602fd2915634bba759912e81f534","observation_id":"0389022e-51c6-41d4-8d9a-20d18cf7162d","resolution":{"observed_at":"2026-08-15T19:48:25.218255Z","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":"2026-08-15T19:48:24.875499Z","title":"Multistage spatial context models for learned image compression,","venue":null,"work_id":"cb81cf6c-5fd2-4f37-9765-ecc19f1de333","year":2023},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.031103Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:b922fa672df90330b01a66f1d1aaccf2adeeb307a81a68082ed52d8a87ecb586","observation_id":"f309e2ab-da78-4a93-890b-dc817a3e93ad","resolution":{"observed_at":"2026-08-15T19:48:24.879432Z","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":"2026-08-15T19:48:24.887425Z","title":"Checkerboard context model for efficient learned image compression,","venue":null,"work_id":"ce83c6af-5cb6-4835-ab63-23c361f1032f","year":2021},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.027399Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:96098c2449db5cfed70888b1351d66fddbd4724f857cce5fc39ee6c4f2c1dadd","observation_id":"b04e0dc2-b17c-4f55-886f-c18b00e726bb","resolution":{"observed_at":"2026-08-15T19:48:24.950557Z","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":"2026-08-15T19:48:24.850124Z","title":"Finite-state autoregressive entropy coding for efficient learned lossless compression,","venue":null,"work_id":"7a2337af-dc63-45b3-bb9a-ae56a08e900d","year":2024},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.037997Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:1cfa9a3c98014747756afae0c94af1b315990b91b169aeb633736c40ed04d6d1","observation_id":"0cddec60-0fc9-4139-93b1-60efe36a6d2d","resolution":{"observed_at":"2026-08-15T19:48:24.856791Z","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":"2026-08-15T19:48:24.864481Z","title":"Pilc: Practical image lossless compression with an end-to-end gpu oriented neural framework,","venue":null,"work_id":"407e02ee-7587-498f-a722-37f47cf171f0","year":2022},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.034464Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:0c7ee7f935d2f0cf36bd0b6c05b4bb74df9a49a29a73d376c7203182984f072e","observation_id":"c1ff86df-9b59-44f4-873f-c05f5d5f9eed","resolution":{"observed_at":"2026-08-15T19:48:24.868290Z","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":"2026-08-15T19:48:24.827100Z","title":"Get the best of the three worlds: Real-time neural image compression in a non-gpu environment,","venue":null,"work_id":"775f0b55-e7bb-4f3e-a0f8-f98fd7db231f","year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.049288Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:75bda651a41bf0c475fee1d92abb1894292db0d5348431a30e9aa10ae961e660","observation_id":"c6662fff-382d-40ea-9222-84b6bbe34d51","resolution":{"observed_at":"2026-08-15T19:48:24.831138Z","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":"1912.08771","last_updated":"2019-12-18T18:09:20Z","snapshot_observed_at":"2026-08-03T11:28:25.725801Z","submitted_at":"2019-12-18T18:09:20Z","title":"Computationally Efficient Neural Image Compression","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.08771","snapshot_observed_at":"2026-08-15T19:48:23.041482Z","title":"Computationally efficient neural image compression,","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.041482Z"},"links":{"cited_paper":"/paper/1912.08771","citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:b51ba3479d79a28c1c8fb0d064b3860ad8a8b4851d67eefc47bd2501e215163c","observation_id":"e3011297-9fd8-494b-bc07-71b07a3be3da","resolution":{"observed_at":"2026-08-15T19:48:23.041482Z","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":"2026-08-15T19:48:24.709321Z","title":"Exploring structural sparsity in neural image compression,","venue":null,"work_id":"377a31e8-dce2-4bd9-8814-371e3989985f","year":2022},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.061211Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:1ac5eadd26f4328721030c8535ad3fc7ffaafa24bdfc0797d7c0753ac74d8597","observation_id":"017a9d8d-869f-4c20-91bf-bddb07db5ebe","resolution":{"observed_at":"2026-08-15T19:48:24.787790Z","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":"1906.01223","last_updated":"2019-06-05T07:21:47Z","snapshot_observed_at":"2026-08-14T16:21:24.014750Z","submitted_at":"2019-06-04T06:39:50Z","title":"Content Adaptive Optimization for Neural Image Compression","version":2},"cited_work":{"arxiv_id":"1906.01223","doi":null,"metadata_source":"pith","pith_arxiv_id":"1906.01223","snapshot_observed_at":"2026-08-15T19:48:23.305185Z","title":"Content Adaptive Optimization for Neural Image Compression","venue":"cs.CV","work_id":"24713135-f0fa-42c6-a5c5-5753861ac63f","year":2019},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.068445Z"},"links":{"cited_paper":"/paper/1906.01223","citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:68967314830e9d15a845da0520bae397b14761c43a53b3545ebda39c0a36f679","observation_id":"26e38d4c-39eb-4f32-b556-1fac0e8d4f03","resolution":{"observed_at":"2026-08-15T19:48:23.309384Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-15T19:48:24.816663Z","title":"Available: https://api.semanticscholar.org/CorpusID: 239011955","venue":null,"work_id":"cf6e8cde-b940-44fb-ad8c-740626eaf7c3","year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.053272Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:fd00dadcdc8b55ddc2d3a0b3528714c57c845d96b82ffd0162dde8d617e78dde","observation_id":"cecfc494-b50b-4161-8cad-3f334926c8aa","resolution":{"observed_at":"2026-08-15T19:48:24.820045Z","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":"2026-08-15T19:48:24.806438Z","title":"Universal efficient variable-rate neural image compression,","venue":null,"work_id":"14d60d71-a79b-4f18-8f5e-baebfd837766","year":2022},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.057499Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:f820bf2b8b3dcf61b428378aff9e4784636713d4e1b1e2035aaeffc9821e0101","observation_id":"d9d5a88f-4612-40dd-a7bd-db822ef7b385","resolution":{"observed_at":"2026-08-15T19:48:24.809953Z","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":"2026-08-15T19:48:24.460553Z","title":"Optimal structure identification with greedy search,","venue":null,"work_id":"56a85347-f4fd-42b5-8b1a-f7713cd2c9f8","year":2003},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.083413Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:b2e6bd1cb89485de482a3cd820482e3083167e116f4283790022a9f770bdcd8e","observation_id":"eafd2c3f-6ae3-4867-9cec-f1c03d876562","resolution":{"observed_at":"2026-08-15T19:48:24.464595Z","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":"2026-08-15T19:48:24.444823Z","title":"Learning optimal bayesian networks: A shortest path perspective,","venue":null,"work_id":"cceb15d4-6dac-4c13-a323-ae1df9fb027f","year":2013},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.087525Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:65e19d3a14c97dcc97956959ae6f07726a4783389f6c9e3427f8d6c502365e66","observation_id":"234c22fa-47df-40a9-a4a7-2d83267b0eb2","resolution":{"observed_at":"2026-08-15T19:48:24.448837Z","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":"2026-08-15T19:48:24.433448Z","title":"Learning bayesian networks from data: An information-theory based approach,","venue":null,"work_id":"54ab687d-bc91-4e0e-ab4f-a9e4a3d2e41b","year":2002},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.091105Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:fc415d8c23ec15c9ba9080df0638b80eaa20dc650a331afb82571f288fa60efb","observation_id":"576962c3-96a4-4457-97b5-4c6f8f2aef2a","resolution":{"observed_at":"2026-08-15T19:48:24.437442Z","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":"2212.10132","last_updated":"2022-12-21T03:24:23Z","snapshot_observed_at":"2026-08-16T16:07:22.976242Z","submitted_at":"2022-12-20T10:01:23Z","title":"Content Adaptive Latents and Decoder for Neural Image Compression","version":2},"cited_work":{"arxiv_id":"2212.10132","doi":null,"metadata_source":"pith","pith_arxiv_id":"2212.10132","snapshot_observed_at":"2026-08-15T19:48:23.282470Z","title":"Content Adaptive Latents and Decoder for Neural Image Compression","venue":"cs.CV","work_id":"a8c16d6e-1633-478c-b099-b3a8a3666dc6","year":2022},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.072373Z"},"links":{"cited_paper":"/paper/2212.10132","citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:2088774b88bf01e88090448e1cad72187bc76154bac9d055c70306b402d06aae","observation_id":"d80e0b21-6e4a-4a96-b826-57f6a9410fb7","resolution":{"observed_at":"2026-08-15T19:48:23.289438Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-15T19:48:24.508682Z","title":"Available: https://api.semanticscholar.org/CorpusID: 253448404","venue":null,"work_id":"1d4923ea-ed06-4e4c-b1a8-4ad4e2629ff6","year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.076065Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:246edcc11eaa7978ac311818beb917d0a3198edd86f46c6631b6dae3b7fbc2c4","observation_id":"121aed6d-091d-44ed-897a-03b60e3ba98a","resolution":{"observed_at":"2026-08-15T19:48:24.569443Z","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":"2026-08-15T19:48:24.472014Z","title":"Content adaptive checkerboard context model for learned image compression,","venue":null,"work_id":"1f6c7432-7606-4690-8650-069561aa44a0","year":2023},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.079804Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:a26cd6b58d3ca91f8a36a1e2c75c55fbf05194034465ffc89ba175028f6a6320","observation_id":"2b7e83e8-c3de-4ded-b3ea-4fe49da88be1","resolution":{"observed_at":"2026-08-15T19:48:24.475770Z","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":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-08-14T23:50:45.029465Z","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":"2026-08-15T19:48:23.105431Z","title":"Auto-encoding variational bayes,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.105431Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:bfef2179bdbb841cfce9bfaec0faf3420c1456f17bf3b69282c26e2ea8271bc6","observation_id":"c67c7a7d-a691-4bd6-8daa-e7012dd1b3f5","resolution":{"observed_at":"2026-08-15T19:48:23.105431Z","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":"2026-08-15T19:48:24.398627Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium,","venue":null,"work_id":"f9f82ea2-1d92-445f-9c3d-766421965812","year":2017},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.109177Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:bee41b1f7764d508f7381c5922e0141fc80f3476ccee3abe935e1c074d5a9da3","observation_id":"a824fac8-adff-4e77-8dc2-4de64247b3bf","resolution":{"observed_at":"2026-08-15T19:48:24.402433Z","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":"1806.09055","last_updated":"2019-04-23T06:29:32Z","snapshot_observed_at":"2026-08-15T06:40:14.261008Z","submitted_at":"2018-06-24T00:06:13Z","title":"DARTS: Differentiable Architecture Search","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.09055","snapshot_observed_at":"2026-08-15T19:48:23.112941Z","title":"Darts: Differentiable architecture search,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.112941Z"},"links":{"cited_paper":"/paper/1806.09055","citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:ef564fa2d1579b9909eed36474a4beeec10da809e96e6ae05435a19723091e20","observation_id":"fe41db58-d7a0-48ae-90ed-bdbc6141455b","resolution":{"observed_at":"2026-08-15T19:48:23.112941Z","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":"2026-08-15T19:48:24.422327Z","title":"Exact bayesian structure discovery in bayesian networks,","venue":null,"work_id":"31bdd51d-22c4-4518-9045-060930272e5c","year":2004},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.094951Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:34bf53181e955517d1b1af0c66cb4ff2314283a3f242ee7c5759fab5bb09018f","observation_id":"6d15edc8-b974-4273-bb12-37bf78280a89","resolution":{"observed_at":"2026-08-15T19:48:24.426042Z","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":"2026-08-15T19:48:24.410000Z","title":"Dags with no tears: Continuous optimization for structure learning,","venue":null,"work_id":"3d34c357-c143-4834-8a00-b835761706cc","year":2018},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.098221Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:b5f06b95ef7a0e848d7cff2cf66934b227313a5c84e87977932adf3b965661a9","observation_id":"28a47f36-2543-49d7-b599-f32516d60b0e","resolution":{"observed_at":"2026-08-15T19:48:24.414346Z","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":"2202.13903","last_updated":"2022-06-28T18:08:32Z","snapshot_observed_at":"2026-08-16T17:18:04.953905Z","submitted_at":"2022-02-28T15:53:10Z","title":"Bayesian Structure Learning with Generative Flow Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.13903","snapshot_observed_at":"2026-08-15T19:48:23.101477Z","title":"Bayesian structure learning with generative flow networks,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.101477Z"},"links":{"cited_paper":"/paper/2202.13903","citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:bd7344cf34c306f1b6ba9b36b902435495eb9ac490d6d2d3a6e75878343d9c17","observation_id":"0c1d0ca2-d6e7-4fbd-9560-c2df0a1c3559","resolution":{"observed_at":"2026-08-15T19:48:23.101477Z","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":"2026-08-15T19:48:24.032972Z","title":"Variational inference for monte carlo objectives,","venue":null,"work_id":"c8ea0445-8301-427d-b4c8-50655a51f190","year":2016},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.134094Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:aad1117b8ccb5404a52b5d9ae0b360118d3c5b4bb067e7dbd0c15674c1970950","observation_id":"8cdd0540-30af-4aff-b81e-017c3f45c5bc","resolution":{"observed_at":"2026-08-15T19:48:24.037242Z","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":"2026-08-15T19:48:23.137760Z","title":"Imagenet: A large-scale hierarchical image database,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.137760Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:a3312a6771d1a85c158749a6eeb271e44778b26dba3e79b7720f8a4bad6d20b0","observation_id":"7b46a5d4-f251-42b5-88e9-eaf419893725","resolution":{"observed_at":"2026-08-15T19:48:23.137760Z","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":"2026-08-15T19:48:24.013769Z","title":"Workshop and challenge on learned image compression,","venue":null,"work_id":"558b420c-6e8a-4652-9d33-0884f0a41af6","year":2023},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.141988Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:3cc001ef803a01a55a06a6837406c84fbd8be4958987209006d944d2a0adde8a","observation_id":"9ba89cb8-c050-4768-a6a0-505280506cc5","resolution":{"observed_at":"2026-08-15T19:48:24.017518Z","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":"2026-08-15T19:48:24.381149Z","title":"Autoslim: Towards one-shot architecture search for channel numbers,","venue":null,"work_id":"0c5b622b-571e-4f7d-98d6-942d05b2a2b7","year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.116473Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:c0c4bb2fa2b7fc8249f69a9af5061ffe9ce43a9fe58b9f20f4bef5689ac2a2e9","observation_id":"e7cabc32-b39e-4553-9e56-3b94fd23cfc5","resolution":{"observed_at":"2026-08-15T19:48:24.390917Z","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":"2026-08-15T19:48:24.330477Z","title":"Available: https://api.semanticscholar.org/CorpusID: 173990379","venue":null,"work_id":"06e5c59e-97b3-485f-83fd-c109abaebc04","year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.119861Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:937138980b725a6fa4c7034ee5e2d28d452e74661b5f0d572d14c6adaafdf4b3","observation_id":"f74b7f50-b486-495f-8cb3-bd9b5283a8d8","resolution":{"observed_at":"2026-08-15T19:48:24.359083Z","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":"1611.01144","last_updated":"2017-08-05T22:45:19Z","snapshot_observed_at":"2026-08-15T03:05:41.956181Z","submitted_at":"2016-11-03T19:48:08Z","title":"Categorical Reparameterization with Gumbel-Softmax","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.01144","snapshot_observed_at":"2026-08-15T19:48:23.123068Z","title":"Categorical reparameterization with gumbel-softmax,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.123068Z"},"links":{"cited_paper":"/paper/1611.01144","citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:d225d9bdd7a84cdb0d2ba82957629ca2b80cdbc37fd8a85f88e73f84267ba2dc","observation_id":"e1ac6342-f330-4ac0-aabc-75e8766537e4","resolution":{"observed_at":"2026-08-15T19:48:23.123068Z","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":"2026-08-15T19:48:24.210265Z","title":"Efficient and effective context-based convolutional entropy modeling for image compression,","venue":null,"work_id":"7c737975-f174-4bd7-9654-4ee126e885e2","year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.127006Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:434038efe9ef3a78f65075873cb656b51d822366e66a1bc68c8515375c8ab47d","observation_id":"c5be22e8-d7cd-4737-ac72-4410f9f328e4","resolution":{"observed_at":"2026-08-15T19:48:24.295571Z","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":"2026-08-15T19:48:24.045610Z","title":"Available: https://api.semanticscholar.org/CorpusID: 195345342","venue":null,"work_id":"8625bcbf-baa8-4939-8a9c-1c8fa5ac6962","year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.130752Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:262394ef30e91ed483679fb375e9048ada493e064bec5c855c5a9587330db1cf","observation_id":"4931f6a5-df0a-4f87-ae0f-4e58f79b6609","resolution":{"observed_at":"2026-08-15T19:48:24.079400Z","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":"2026-08-15T19:48:23.998817Z","title":"Kodak lossless true color image suite,","venue":null,"work_id":"968535fd-c737-4487-bdb6-dc389124ac8c","year":2023},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.145335Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:4d15b2c31c072b0b62d7c8c92a4ced4049ac853d5b5698d786c92f15c19809c2","observation_id":"11154077-7392-49b1-9f82-ffd64ed7cd71","resolution":{"observed_at":"2026-08-15T19:48:24.006244Z","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":"2026-08-15T19:48:23.987142Z","title":"Microsoft coco: Common objects in context,","venue":null,"work_id":"0f5fec03-22d5-4baa-a187-9972f41d2f73","year":2014},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.149206Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:d2716ed9b8a2576273f56a3394f9c16bb82447fcc6d3b2ce58a6c205d75888e5","observation_id":"71435ff9-de4f-4c32-8849-38a8bf759da8","resolution":{"observed_at":"2026-08-15T19:48:23.990939Z","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":"2011.03029","last_updated":"2020-11-05T18:40:50Z","snapshot_observed_at":"2026-08-18T13:00:06.538777Z","submitted_at":"2020-11-05T18:40:50Z","title":"CompressAI: a PyTorch library and evaluation platform for end-to-end compression research","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.03029","snapshot_observed_at":"2026-08-15T19:48:23.152459Z","title":"Compressai: a pytorch library and evaluation platform for end-to-end compression research,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.152459Z"},"links":{"cited_paper":"/paper/2011.03029","citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:70c950c946e4567a14cc571935569cecba5ac427e714acdba999f751e241cd6d","observation_id":"084b5067-6488-4ae6-9477-a12a30c24eaa","resolution":{"observed_at":"2026-08-15T19:48:23.152459Z","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":"2026-08-15T19:48:23.974961Z","title":"Bpg image format,","venue":null,"work_id":"224dae80-8df9-48d7-8643-f45184d0cd11","year":2023},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.156206Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:49c156d22067d8541fefe4270bf1f7711e2b69a7655b944cb0adb3edeb1aec9c","observation_id":"5df71a6f-a5d8-4191-bd99-39204ef5afcb","resolution":{"observed_at":"2026-08-15T19:48:23.979290Z","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":"2026-08-15T19:48:23.872514Z","title":"Neural video compression with diverse contexts,","venue":null,"work_id":"3e3b5011-bab1-46c6-acfa-74e92ea50d0c","year":2023},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.159724Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:f7734497e81704f98c23d9eef432cb978ad09ee765c8c896bfea9702523910bb","observation_id":"277afe9b-8072-4c49-b8c9-944e2b42c6b2","resolution":{"observed_at":"2026-08-15T19:48:23.967022Z","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":"2026-08-15T19:48:23.706080Z","title":"Here we further provide a PyTorch4-style pseudo-code implementation in Algorithm 1 to clarify the implementation details","venue":null,"work_id":"f64154d7-d1c2-448e-98df-4ac83eddb493","year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.171141Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:dbaae6d1046abc993aa69e4a9b0bca69dc7d3353a477d0984072c0cb5f743de1","observation_id":"6751d6a9-4bda-466c-9906-03fa2e1c1fe5","resolution":{"observed_at":"2026-08-15T19:48:23.710948Z","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":"2026-08-15T19:48:23.693968Z","title":null,"venue":null,"work_id":"0174f2af-fef5-4a50-bcff-245cb55b2282","year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.174908Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:824edf6a9a2e3d02de01e4d986fcbe5e51c7cd8008031c98f02b790093ffd5f1","observation_id":"53e17b92-08c9-4851-a338-4b6f4330b13f","resolution":{"observed_at":"2026-08-15T19:48:23.697488Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-15T19:48:23.682668Z","title":"This model is a straight- forward 2-layer network comprising Linear and ReLU layers","venue":null,"work_id":"58d304f2-5834-4167-8c40-b2cda56b29c6","year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.178842Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:df4fd85019c3b0a1f00c84cec9ea5d7936b277dbc144f77a1b5d98c380332972","observation_id":"f8a28d68-dd62-4958-bf08-4a8db0e28fdc","resolution":{"observed_at":"2026-08-15T19:48:23.686613Z","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":"2026-08-15T19:48:23.650407Z","title":null,"venue":null,"work_id":"238dea6f-ecbd-427b-a593-33ca734f7206","year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.182424Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:56dca0a59cc404b0e8acd268768c21b7cfa84f13fb48e633f8c33692620c5f5b","observation_id":"56229d6f-3c75-4d90-aa8e-7e0c01d872f0","resolution":{"observed_at":"2026-08-15T19:48:23.653996Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-15T19:48:23.638652Z","title":null,"venue":null,"work_id":"a860f697-6745-44fe-804b-ee4b9df485c9","year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.186581Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:66437111050c881854413a1c05f400fae764b504589629035252e5015e19e75a","observation_id":"213ce4a8-b8e2-4950-8730-6fbf7b3fe765","resolution":{"observed_at":"2026-08-15T19:48:23.642520Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-15T19:48:23.626900Z","title":null,"venue":null,"work_id":"3b49b8af-c429-4f3e-9004-313356e874fa","year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.191619Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:898b7b2638c87893823045101f97ba66a60d352ea3baf739ea5deae490828617","observation_id":"689d7fce-0638-468c-be4a-95857165350a","resolution":{"observed_at":"2026-08-15T19:48:23.630630Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-15T19:48:23.787304Z","title":"Before joining in SJTU, he was with the faculty of the University of Texas Health Science Center at Houston from 2018 to 2019","venue":null,"work_id":"3575c65f-5a10-4661-9afe-830b32d00dd9","year":2018},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.163371Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:563df9cf1023a9c369f134d91f88ee7423c9d2d6448084baab1103e9fe9ee802","observation_id":"3c9b8753-499c-4695-82c3-1d84df375a3d","resolution":{"observed_at":"2026-08-15T19:48:23.817266Z","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":"2026-08-15T19:48:24.838174Z","title":"Available: https://api.semanticscholar.org/CorpusID: 209404937","venue":null,"work_id":"f2e6ea17-97c0-44ff-b231-6aedce9bc461","year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.045470Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:add5d9965db0e9a0535d4863ea68281526a3638f0199b111d4208748205010af","observation_id":"0d3b3b53-c1bb-4030-bb76-fa62f1177430","resolution":{"observed_at":"2026-08-15T19:48:24.842564Z","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":"2026-08-15T19:48:23.719317Z","title":"His research interests include time series modeling, graph machine learning, natural language processing, and generative models","venue":null,"work_id":"5c538f2a-d5f5-4bc1-a86a-0e6301ba24bc","year":2021},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.166738Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:6e466d097925c41adb798821d7d30b8b07a01272b0ce21a11d0bd866e6eae17a","observation_id":"1e668a43-5b0f-421e-ab7c-9ac1bceae2cf","resolution":{"observed_at":"2026-08-15T19:48:23.748588Z","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":"2026-08-15T19:48:25.325368Z","title":"Available: https://api.semanticscholar.org/CorpusID: 244102730","venue":null,"work_id":"e3233128-761f-4dd3-be29-0a4c1bfd1e1a","year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.000810Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:cc874b820a254d5effb4bd6dd10ca440275fbf49de9c3440392f19f344f47072","observation_id":"a04b95fe-b3f0-481a-89ea-5b04cab31395","resolution":{"observed_at":"2026-08-15T19:48:25.332673Z","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":"2026-08-15T19:48:24.608482Z","title":"Available: https://api.semanticscholar.org/CorpusID: 246680031","venue":null,"work_id":"158c7617-9628-45ac-8360-3c9ac1e303d2","year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.064662Z"},"links":{"citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:4fb53078bba0baa1219958f815daa525faaf41b80d3c8471d347a648cb02b2c9","observation_id":"3d533032-a507-4f2b-a656-378b22b73c06","resolution":{"observed_at":"2026-08-15T19:48:24.656280Z","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":"2506.15228","last_updated":"2025-06-18T08:11:27Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression"},"reference_resolution":{"displayed":73,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":5,"verified_fuzzy":50},"total_outbound_references":73},"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 18 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2506.15228."}