{"as_of":"2026-08-16T12:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3555a192cb7524556b73a9b292753c506a2aad62f7b2178c3f7e86e47c6208fb","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T14:25:26.493637Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/1908.03250/citation-record","integrity":"/paper/1908.03250/integrity","json":"/paper/1908.03250/citation-record.json","paper":"/paper/1908.03250"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:25:27.190629Z","title":"Learning the structure of sum-product networks via an svd-based algorithm","venue":null,"work_id":"502be30b-51f9-48c7-955e-aba714ed25ff","year":2015},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.280147Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:3fcd7bc2804be7627534b67394daba519c2a46cb699b8beb95ebb22793a89c84","observation_id":"43018806-24cd-419b-bd5c-5364a22f80b3","resolution":{"observed_at":"2026-08-14T14:25:27.195853Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.292775Z","title":"Random forests","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.292775Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:702cbd921a4357f76e6893095fcb2dc7ee9655103688b58c65a550a814ce201f","observation_id":"89689e21-c04a-440d-ba34-0ba448896d30","resolution":{"observed_at":"2026-08-14T14:25:26.292775Z","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":"2026-08-14T14:25:27.044375Z","title":"Markov network structure learning: A randomized feature generation approach","venue":null,"work_id":"ce9ac239-0a8a-424b-a537-22f36e9fa2f3","year":2012},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.346424Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:3054c6d63c58372e4b9d335fff51815b58ff1162cc7af444485258169ee3ada1","observation_id":"a137ed82-e627-40d9-a268-be15dbde240b","resolution":{"observed_at":"2026-08-14T14:25:27.050651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:27.012069Z","title":null,"venue":null,"work_id":"2b820821-d9fa-4974-8a94-af345b8c5115","year":2017},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.356503Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:5f9514cb1fe083ed3668d264e80e76ef490b48c3c2c53849824ea4a5073ede67","observation_id":"301f35a3-5f7d-4769-bd51-6982194f8aeb","resolution":{"observed_at":"2026-08-14T14:25:27.018160Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.996170Z","title":"Learning deep ResNet blocks sequentially using boosting theory","venue":null,"work_id":"5b1189e4-a4ba-4dd9-b4c1-a245c8b560ae","year":2018},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.362722Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:1d39d91f4c4c446d744b858715af3671d7796633034ba2054fc44de09c85bb7b","observation_id":"b0314baf-00da-4443-89bb-8c43fdcb4aa0","resolution":{"observed_at":"2026-08-14T14:25:27.001238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.979383Z","title":"Online algorithms for sum-product networks with continuous variables","venue":null,"work_id":"7126c9ea-7047-4726-a5a0-38e38cbe5389","year":2016},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.367713Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:f32e477b47cd7a1bdce46f9a32edb013f27aa3cc4d22a6398d2b8bffb767a445","observation_id":"eaf398b3-2571-4ca2-8945-d8878413373a","resolution":{"observed_at":"2026-08-14T14:25:26.984258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.965019Z","title":"Jaini, A","venue":null,"work_id":"a79d58ac-cb16-4547-9f19-f120fa807850","year":2018},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.372394Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:e9aedcacae9c958776d56907726d2aad18d382ee8ba1280e28857a52ae97c9c8","observation_id":"bc5be168-0c17-4509-ab50-2b9465b74627","resolution":{"observed_at":"2026-08-14T14:25:26.969634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.949435Z","title":null,"venue":null,"work_id":"ea818493-a970-4d33-bcf7-2f399b51dae8","year":2018},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.377243Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:9999a133715118f959135418e5ba955f916accc573769263be9704c1c0dbb4ae","observation_id":"4aac4c92-3420-4d7c-9b1b-b7d89e11774a","resolution":{"observed_at":"2026-08-14T14:25:26.954405Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.933956Z","title":null,"venue":null,"work_id":"62186c2d-ca11-49d4-bfda-2efc3087f7c5","year":2014},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.382211Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:2f5a164c2a72dbc3ce6d72008edfdcb7b5c488061e330dd9d47dd86f448ee5e6","observation_id":"cad8900b-115d-4e1b-8ce9-6af66037580e","resolution":{"observed_at":"2026-08-14T14:25:26.938333Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.919037Z","title":"The Neural Autoregressive Distribution Estima- tor","venue":null,"work_id":"f0bfc694-16a4-4307-b6db-0a30c3286f24","year":2011},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.387503Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:1a9eeaf64acb91b95154a623c662ff1b99cd6558a8bc0091845d5d36e677e06b","observation_id":"95d64a59-7347-4ac0-bd1b-2db5ff145b2b","resolution":{"observed_at":"2026-08-14T14:25:26.924185Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.888031Z","title":"Learning Markov network structure with decision trees","venue":null,"work_id":"344c13fc-75bb-4bd4-a9e5-c9fb15a01bdd","year":2010},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.397274Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:42661f59d10c742062d19004e436eca85bf91c3f9e88160c4baff1f2bdaf60f3","observation_id":"64b914cd-c768-4d30-be7e-aa7ed864f644","resolution":{"observed_at":"2026-08-14T14:25:26.892971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.856459Z","title":"Poisson sum-product networks: A deep architecture for tractable multivariate poisson distri- butions","venue":null,"work_id":"cc010633-c46b-4252-95a6-2b02a9c2cdd5","year":2017},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.406799Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:98f01b14f11efacbd940a73521e46a6c5b8eeb82690a40486c5129614d22bc87","observation_id":"6f0587e6-41af-4bac-8679-7b8f8f149264","resolution":{"observed_at":"2026-08-14T14:25:26.861297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.840473Z","title":"Mixed sum-product networks: A deep architecture for hybrid domains","venue":null,"work_id":"2e810ff1-3579-4cc1-8504-21f946511679","year":2018},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.412010Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:30d02325a70cb46672acd9826ae29feb6cc4a8c3973c2ccbeb10b4b4555a8383","observation_id":"a5b87aa8-b7ac-495b-8ab1-acd100a39b1c","resolution":{"observed_at":"2026-08-14T14:25:26.846159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.03704","last_updated":"2019-01-11T14:34:59Z","snapshot_observed_at":"2026-08-14T17:32:12.242484Z","submitted_at":"2019-01-11T14:34:59Z","title":"SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.03704","snapshot_observed_at":"2026-08-14T14:25:26.416660Z","title":"Spflow: An easy and extensible library for deep prob- abilistic learning using sum-product networks","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.416660Z"},"links":{"cited_paper":"/paper/1901.03704","citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:0293da97087397c9608f89eccb993ac9abb485b076dfe594327d554b6c258772","observation_id":"04bbfce2-6f05-4570-8279-c1b1d2e4bb45","resolution":{"observed_at":"2026-08-14T14:25:26.416660Z","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":"2026-08-14T14:25:26.792979Z","title":"Modeling speech with sum-product networks: Application to bandwidth exten- sion","venue":null,"work_id":"fe8f81be-14f7-42a6-91b7-058a900f5770","year":2014},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.431627Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:043e126bb1778a611a3363806c1bb64ccb7d6a65f5443003f8c562316ff313da","observation_id":"a3d3f28d-8fdb-453e-8926-5361b39a57ce","resolution":{"observed_at":"2026-08-14T14:25:26.798515Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.775998Z","title":"Random Sum-Product Net- works: A Simple and Effective Approach to Probabilistic Deep Learning","venue":null,"work_id":"4a80fdf0-2dad-4307-b917-cc38910cf67c","year":2019},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.436150Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:b61fe302223a22b1cee0c4f02eb65fb09142f6b8c2e8359a76b0e830c73cc20c","observation_id":"af600cec-a4da-49f8-9a82-d5844174893f","resolution":{"observed_at":"2026-08-14T14:25:26.781264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.758279Z","title":"Foundations of Sum-Product Networks for Probabilistic Modeling","venue":null,"work_id":"698c153c-6f36-4980-993b-3dbe76107996","year":2015},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.440754Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:bc1581b1b62fc11794620012f0fdb54bd6c6f111290779830adecc0c3a72c8d3","observation_id":"3fd74efa-f755-4ceb-ac14-1597fcc10e47","resolution":{"observed_at":"2026-08-14T14:25:26.763518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.740557Z","title":"Sum-Product Networks: a New Deep Architecture","venue":null,"work_id":"a962de0c-1138-4abc-8090-28a786125c61","year":2011},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.445257Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:1c95ba47f2d6042e0b9706d0c3ea2e17900b18eb393d2fb7393b656b1e65b125","observation_id":"9e1bd9f5-04ed-45c7-b2ac-99f9063fcec8","resolution":{"observed_at":"2026-08-14T14:25:26.745709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.721288Z","title":"Merging strategies for sum-product networks: From trees to graphs","venue":null,"work_id":"899f45d9-13f8-4040-bedb-3f7a7cd68260","year":2016},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.449876Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:3244cb725ecf4a647a5f2207ee2af096403d2b820afc0310e677f4c2de5f7235","observation_id":"bc4c6107-97c6-4674-a989-49da704ae996","resolution":{"observed_at":"2026-08-14T14:25:26.727736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.703022Z","title":"Discriminative non-parametric learning of arithmetic circuits","venue":null,"work_id":"bdd7fbbb-8ab2-44d7-a38b-f655f58f22ef","year":2019},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.454348Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:6270825871cd7412228646e6f2932738a302e887a2e19580521c003fec19bdc6","observation_id":"27e34e29-f02c-4339-bb5d-126f458f363a","resolution":{"observed_at":"2026-08-14T14:25:26.709187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.686052Z","title":"Black box variational inference","venue":null,"work_id":"e1526ae6-a57a-4623-b4b1-85d8cf6a05a4","year":2014},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.459511Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:973b10fdc0c3fc805c99608c5f51ab74eb7ae8d4b1d959a7d06bef4531c8e412","observation_id":"683b8cff-27b4-4d40-9a5a-80b5d6be0f7d","resolution":{"observed_at":"2026-08-14T14:25:26.690773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.670903Z","title":"Sum-product networks for structured pre- diction: Context-specific deep conditional random fields","venue":null,"work_id":"7b2b0091-aa79-4bd7-ab24-3d11901add49","year":2014},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.464456Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:3977b632f26208e30440605a6015ff16630dc8f15f7f62511e3e7276dea8d4c2","observation_id":"33cc181b-e8eb-4f5e-b4ea-3f40f29445db","resolution":{"observed_at":"2026-08-14T14:25:26.675814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.651947Z","title":null,"venue":null,"work_id":"d7826c36-8cca-4c13-89d8-c7d57d539058","year":2014},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.469966Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:ac511e2e71396791f679a9325179b6a09aed2511262924493e00fbd0fc6ce782","observation_id":"2cc64ac4-5565-4c70-89ea-83338ddbb41a","resolution":{"observed_at":"2026-08-14T14:25:26.659594Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.635837Z","title":"Learning Sum-Product Networks with Direct and Indirect Variable Interactions","venue":null,"work_id":"98c692c5-f692-499e-bebe-33093e1a46c8","year":2014},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.474868Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:c05e1c6787a09a03e44d01372a2f9ff67defd2555782b3b22a52f73efedc04d3","observation_id":"7f76e490-8e25-4655-b43d-7fe41d5828fb","resolution":{"observed_at":"2026-08-14T14:25:26.640661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.619710Z","title":"Faster attend-infer-repeat with tractable probabilistic models","venue":null,"work_id":"35ab2d28-bb54-4a0a-950c-9c270cc297fa","year":2019},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.479545Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:f464400920a8bd4413b2e18f214fb1fb7e3a54a4eb6580ed67bcf06f2daa0c39","observation_id":"02a40386-b4fa-4b99-ab58-64a4edb6e948","resolution":{"observed_at":"2026-08-14T14:25:26.624503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.602638Z","title":"Wilber, and Serge J","venue":null,"work_id":"55e2f5c4-f443-4d2c-accf-faeadc4d983e","year":2016},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.484005Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:56a2e31df3c22e0b8bd9c55eda70d8a847c7d6fce73f411610287082cb5cb1f8","observation_id":"837c9cc2-c7ff-478b-bf80-a1cbe38983be","resolution":{"observed_at":"2026-08-14T14:25:26.608303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.586277Z","title":"Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning","venue":null,"work_id":"7c4cfd7b-2c71-4e92-a6c8-19bff5722bd1","year":2015},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.488862Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:a0fc68654c148314fdb542a4bbea1a3f72354c36fdd104ad883a7a2e58e9a512","observation_id":"dcf6c591-ce3c-4c37-b800-a0c6c0d6efc7","resolution":{"observed_at":"2026-08-14T14:25:26.591584Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.567363Z","title":"Modeling spatial layout for scene image understanding via a novel multiscale sum-product network","venue":null,"work_id":"10cf10ca-2103-4ec6-96e2-4d9fc2694698","year":2016},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.493637Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:a5d2dbe7a7015962b1925ef92b1ec76fa84dcfaf73c6dc066957b6bb790d474a","observation_id":"629612a0-b558-4775-a2db-b5f33e989248","resolution":{"observed_at":"2026-08-14T14:25:26.574568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.809431Z","title":"Greedy Part-Wise Learning of Sum- Product Networks","venue":null,"work_id":"0fd1b87b-1711-44d1-85c4-328a587e11ee","year":2013},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":1998,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.427211Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:f9d9adabab7710009c396a746c5be49bdc52d7cf557bb5f6b7361bf77e21317c","observation_id":"579ac381-fc72-4939-88e4-9680b64a71b8","resolution":{"observed_at":"2026-08-14T14:25:26.814868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:27.148786Z","title":"Efficient principled learning of thin junction trees","venue":null,"work_id":"67b525b0-5b2f-46da-ac22-9a661cd72cef","year":2008},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":2001,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.298424Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:c5e6f2f64fb8ba80113648b75ad7f0e63eca3c3c5bc244e78123d7c946b94868","observation_id":"85d1f39d-ab7a-4710-a419-4f400edac496","resolution":{"observed_at":"2026-08-14T14:25:27.153404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:27.060676Z","title":null,"venue":null,"work_id":"b3832cad-d121-4242-8ff3-b5690c7561be","year":2014},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":2006,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.340677Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:264169b5df2cbb3ed296115df921c69353210666a796491708549e373afd1dcf","observation_id":"17b40dd6-3c19-46e8-9024-ef31e0f7fbe7","resolution":{"observed_at":"2026-08-14T14:25:27.065984Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:27.134583Z","title":"Language modeling with Sum-Product Networks","venue":null,"work_id":"07e5c34e-4283-4727-b0c8-f8077d901b61","year":2014},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":2008,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.304360Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:99c28f666f96d0dfc2cbc2a8b888498c4106a1da24eacf0ed31e03c38b4df4f3","observation_id":"d2e242fb-8166-4ba4-998e-ea2f7a669501","resolution":{"observed_at":"2026-08-14T14:25:27.139532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.871388Z","title":"Learning Markov networks with arithmetic circuits","venue":null,"work_id":"278e9d7e-c11e-4c6b-a412-2134062f20e8","year":2013},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":2010,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.401941Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:edcfa980404fbc2cccd074181ca8aa75ccb4f6aa79e59cc8226fa1802280fc09","observation_id":"2e17fbec-4d44-4d22-b394-7a8335fee2f3","resolution":{"observed_at":"2026-08-14T14:25:26.877013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:26.903797Z","title":"Liang, J","venue":null,"work_id":"7c56d73f-ea13-45cd-8742-bb95e64e743b","year":2017},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":2011,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.392400Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:78bc3dfa5d57efbd81a98e8ef52d03e125fcaf898ed2fc484622b7b02e9d0819","observation_id":"206f11ba-a897-4f92-9aa2-1b196cf1f7ba","resolution":{"observed_at":"2026-08-14T14:25:26.908348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:27.029084Z","title":"Deep residual learning for image recog- nition","venue":null,"work_id":"b4079471-4e00-49af-8d8b-f1d4d079633a","year":2016},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.351397Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:2b7b1e19dac99305a0b72285196d51e459f80b37d94f19df61a9f17516a33367","observation_id":"a19908cc-2889-411f-b3b3-41cd706d7f60","resolution":{"observed_at":"2026-08-14T14:25:27.034193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:27.075758Z","title":"Extremely randomized trees","venue":null,"work_id":"cf8e22e3-ccc2-4db0-aabf-ccccb02bf333","year":2006},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.335992Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:30a3a587639bad7e9a93336b7935fc52b0f239907d0fefae22861149b4bd1203","observation_id":"f14d7784-2079-469f-8e78-5293a1de2da8","resolution":{"observed_at":"2026-08-14T14:25:27.080737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:27.120011Z","title":"Di Mauro, A","venue":null,"work_id":"3130f340-cd50-4071-a77c-7f63e9718e3c","year":2017},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.311132Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:8a6a6e485e2b3ac05402bd4a3e774cc8cb78e81ad5710d21213cfabf3570e5f2","observation_id":"e6a21ba8-5b80-416a-a1f2-9ef61a906d0e","resolution":{"observed_at":"2026-08-14T14:25:27.124415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:27.173676Z","title":"Sum product networks for activity recognition","venue":null,"work_id":"14149729-4bbb-49a3-b518-65a16a191948","year":2015},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.286809Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:2764f7824b1b9d7a5fea138b783745d72bfc238500658bd0f48ad1edbbafde1c","observation_id":"c039b6af-921f-49e6-a6be-7649a44ffb9a","resolution":{"observed_at":"2026-08-14T14:25:27.179413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:27.090688Z","title":"Learning the Structure of Sum-Product Networks","venue":null,"work_id":"c388cd52-cc7e-45d3-99f4-ccb4ff0cbd29","year":2013},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.331011Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:478255881a0b51b8baa3c0b42c59654e96fa8a25f5124152ad3af2f09fdc7fc2","observation_id":"9c115945-aa9c-458d-8311-835baaeb5081","resolution":{"observed_at":"2026-08-14T14:25:27.095456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:25:27.105532Z","title":"Ventola, and Antonio Vergari","venue":null,"work_id":"de6aa2b0-5e99-46e1-b7b1-eae18b3e505f","year":2018},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.318137Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:787f48bf7807966dc6006db379511e5eb93cf44877032fa7900a47aa4c1f9142","observation_id":"1d949a5e-6b14-496d-a6cd-a4c2d1b1f4a4","resolution":{"observed_at":"2026-08-14T14:25:27.110524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1605.08803","last_updated":"2017-02-27T23:21:10Z","snapshot_observed_at":"2026-08-10T10:35:06.780085Z","submitted_at":"2016-05-27T21:24:32Z","title":"Density estimation using Real NVP","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1605.08803","snapshot_observed_at":"2026-08-14T14:25:26.323680Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.323680Z"},"links":{"cited_paper":"/paper/1605.08803","citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:97c698119399f5e24bee809b41df9d00e0b6c12e179116deb650eb7b8606a7f1","observation_id":"21afd0e5-d312-428f-8b7a-a9669793641e","resolution":{"observed_at":"2026-08-14T14:25:26.323680Z","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":"2026-08-14T14:25:26.825581Z","title":"Newman, Blake D.J., and C.J","venue":null,"work_id":"a1dd1d70-20c3-45d2-aef7-41f5fd1bdd9e","year":1998},"citing_paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-14T14:25:26.422286Z"},"links":{"citing_paper":"/paper/1908.03250"},"observation_digest":"sha256:79f2c3fbaa2e8f32baa8ce2a0c056964ceae3c34b8fd9df9a6950736c47f0516","observation_id":"0b026428-94f4-4c90-9078-de215bc35f78","resolution":{"observed_at":"2026-08-14T14:25:26.830495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.03250","last_updated":"2019-08-08T19:55:03Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T05:43:10.419212Z","submitted_at":"2019-08-08T19:55:03Z","title":"Random Sum-Product Forests with Residual Links"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":0,"verified_fuzzy":34},"total_outbound_references":42},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:1908.03250."}