{"as_of":"2026-08-10T20:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:88741f8cb4ee558f7b4e8681f3d33ce98216981fbea1abcabcbdfceea94d3280","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:06:03.798249Z","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":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T12:41:27.389610Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.06650","snapshot_observed_at":"2026-08-01T12:41:27.389610Z","title":"Deep disentangled represen- tation network for treatment effect estimation.arXiv preprint arXiv:2507.06650, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26599","last_updated":"2026-07-29T08:20:17Z","snapshot_observed_at":"2026-08-09T10:58:11.928926Z","submitted_at":"2026-07-29T08:20:17Z","title":"Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T12:41:27.389610Z"},"links":{"cited_paper":"/paper/2507.06650","citing_paper":"/paper/2607.26599"},"observation_digest":"sha256:a75e2b6d375bfca593881c07dd51a472eb8e96de5fdb39fe66affcff699256cd","observation_id":"1372329a-128a-475a-b71f-2b215a725999","resolution":{"observed_at":"2026-08-01T12:41:27.389610Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.06650/citation-record","integrity":"/paper/2507.06650/integrity","json":"/paper/2507.06650/citation-record.json","paper":"/paper/2507.06650"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:05:59.417166Z","title":"Smith and Petra E","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T19:05:59.417166Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:b768725c8ce035e5e0fc92581496403a9244e6c61d301c3ced842d79ff4580c1","observation_id":"0d0855c7-fc41-4f4f-a304-7b5be8e9e31f","resolution":{"observed_at":"2026-08-06T19:05:59.417166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1701.07875","last_updated":"2017-12-06T20:01:54Z","snapshot_observed_at":"2026-07-06T05:27:45.080675Z","submitted_at":"2017-01-26T21:10:29Z","title":"Wasserstein GAN","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.07875","snapshot_observed_at":"2026-08-06T19:05:59.471182Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T19:05:59.471182Z"},"links":{"cited_paper":"/paper/1701.07875","citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:37bc4708e2c077f85196d8f6a56938fef92db4a1792ca33c8d40109fcfb445fe","observation_id":"95f9e1a2-d311-4338-8370-f40c76f873f9","resolution":{"observed_at":"2026-08-06T19:05:59.471182Z","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":"2026-08-06T19:06:08.792736Z","title":null,"venue":null,"work_id":"81055fa6-b631-4d52-8b2c-b9a2edef518a","year":2011},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T19:05:59.545304Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:7a82bdf265020e84fcd4be8b6ae98f9e5916cb73dccf421b663f46cad82e2e96","observation_id":"5418015f-03bc-4083-9da2-df5e6234fb2a","resolution":{"observed_at":"2026-08-06T19:06:08.870895Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:06:08.659329Z","title":null,"venue":null,"work_id":"1c9b40b2-3955-4d3b-9e6d-065a12382385","year":2018},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T19:05:59.627551Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:8d911e63a26fb58d94443ccc9709e09ad0219c2af1f73aa755269d09bb57a254","observation_id":"2c0d7aa9-8790-420c-903b-9e6bdce17805","resolution":{"observed_at":"2026-08-06T19:06:08.694995Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:06:08.462405Z","title":null,"venue":null,"work_id":"e0200d47-2f75-48e2-83fc-a1bfaae83c9a","year":2022},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T19:05:59.711280Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:804b5ce7f6ea6daf5ba855119ace7fa0a4d35316194a9cd50de559ded4e8b7f3","observation_id":"1c1976be-8913-4ad3-a69b-2c6fcfe1ca03","resolution":{"observed_at":"2026-08-06T19:06:08.549265Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2020.30485","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:06:05.138575Z","title":null,"venue":null,"work_id":"8294b80a-a762-48b0-a919-a1accd3da9d0","year":2022},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T19:05:59.777478Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:c52c52d2c00ef27f0ab818219d3b60ace2ade026103a26a380f65582e075390d","observation_id":"2059b787-0e4d-4189-b82d-597b0d5bcd9c","resolution":{"observed_at":"2026-08-06T19:06:05.279017Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:06:08.298517Z","title":null,"venue":null,"work_id":"a5bf28db-e897-4871-ad2a-d7911d9f3bb8","year":null},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T19:05:59.831691Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:75136c6b5365596573387842455ab489ad6fd7fe04c2011281c1faf9c6bba573","observation_id":"a77ad05c-9b42-43f0-b987-f6d83a5fa6ca","resolution":{"observed_at":"2026-08-06T19:06:08.372139Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:06:00.009992Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:00.009992Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:5fe12c50b0f5dd7c20c4c6aaf5e612a3bd5daf2a2dac58a99a8739474afdd476","observation_id":"d93b103d-8d44-41d9-b9dc-d8653eec094e","resolution":{"observed_at":"2026-08-06T19:06:00.009992Z","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":"2026-08-06T19:06:07.939156Z","title":"Borgwardt, Malte J","venue":null,"work_id":"2d80203d-8eb2-4e85-8a46-90fef5aa9a39","year":2012},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:00.126235Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:ec28d958dbd5ea9adda9faf30d94e14e0d3ace87fa0c1f330db5115acc630942","observation_id":"34f0e23a-3c4b-442a-a447-d72f4a5db67b","resolution":{"observed_at":"2026-08-06T19:06:07.986712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:06:00.181653Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:00.181653Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:e07a386f9549e28bf97c7c130fa72f993fbbc6db6738e17140a0272c012d3d87","observation_id":"73207c25-38da-4b64-9aca-588a25461ca0","resolution":{"observed_at":"2026-08-06T19:06:00.181653Z","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":"2026-08-06T19:06:07.701090Z","title":null,"venue":null,"work_id":"3f502151-a553-4318-8f7b-4164d45f1ccd","year":2019},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:00.253993Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:855ba0283423b77d72f6286f163f6b15aba867c34f337bab6ab285141d46b350","observation_id":"1671487b-8f43-49b5-b799-b0c355b90be7","resolution":{"observed_at":"2026-08-06T19:06:07.822510Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:06:07.579384Z","title":null,"venue":null,"work_id":"71570152-99a8-47be-b614-84b10459b817","year":2020},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:00.363754Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:8a2783288df4cec5782024114a32f751353c90364e04eaefb822fccff15e5a2f","observation_id":"eae407ec-c854-4cd1-aa97-55dcce59b618","resolution":{"observed_at":"2026-08-06T19:06:07.631124Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:06:07.459941Z","title":"Hernan and J.M","venue":null,"work_id":"617ec107-bc40-499f-b5b7-cbc47fed0142","year":2020},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:00.442638Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:c1d9a4a84b0404e20b8a9be552205dd69af209342aab738522d82a3b4db5a69e","observation_id":"484348a4-6e4e-476e-883e-f806fdd5fad0","resolution":{"observed_at":"2026-08-06T19:06:07.506656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.08162","last_updated":"2020-11-15T07:42:27Z","snapshot_observed_at":"2026-08-09T18:43:28.993223Z","submitted_at":"2020-10-16T04:38:28Z","title":"SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.08162","snapshot_observed_at":"2026-08-06T19:06:00.543877Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:00.543877Z"},"links":{"cited_paper":"/paper/2010.08162","citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:3ecb4085878c183f3189c8dea50600960cd12dac7b0ff6341c1bfcdb8db5cb5b","observation_id":"a531bb6e-8899-4810-9939-20c2a6f3f381","resolution":{"observed_at":"2026-08-06T19:06:00.543877Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:06:00.678841Z","title":"Imbens and Donald B","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:00.678841Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:568f2da5cf87507d1d49c66f406fb7f8257a2779b0cbe3baa51d5e53764985d2","observation_id":"9eba4159-f43f-4499-b8b3-d39f5c3d8b24","resolution":{"observed_at":"2026-08-06T19:06:00.678841Z","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":"2026-08-06T19:06:07.308868Z","title":null,"venue":null,"work_id":"bbb6298c-21f8-4481-b87f-e6e69661ee60","year":2004},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:00.848102Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:9ecccc3d4d8c3214e67298fe26e607696323965bd09f489f7679c1e13405564d","observation_id":"48fdea65-70df-4c00-8b92-ff58acee7479","resolution":{"observed_at":"2026-08-06T19:06:07.365469Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:06:07.213606Z","title":"Johansson, Uri Shalit, and David Sontag","venue":null,"work_id":"626f652f-63f2-4398-966c-c6c17e60a021","year":2016},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:00.941646Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:4af77f26be229fc3fdd98bc5b0519108ab0ab6203d43badb6509a7c04cc82648","observation_id":"cf7fb1b7-8169-4cd3-861b-4f2d67f24d76","resolution":{"observed_at":"2026-08-06T19:06:07.242944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"4897.19649","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:06:04.921125Z","title":null,"venue":null,"work_id":"15496c4c-7802-4630-b01d-4cc110a035e8","year":2011},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:01.040240Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:e6c6cdf7c2ad73ea1a16ebfc0b4ba5084b3a3484cc3cddfa8b794c48b06a1ef9","observation_id":"799a041c-7ab4-4390-9132-1463bfc99862","resolution":{"observed_at":"2026-08-06T19:06:04.977111Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:06:07.060691Z","title":null,"venue":null,"work_id":"9bb92575-9af3-4f23-a90b-ecbe6906c731","year":2019},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:01.153994Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:dd19edbc8b1902fc47da4c020af52935625dc0f4ef162c3af5d6c032348d06d1","observation_id":"94080ef9-0662-4fd3-851d-c125e9a5efdf","resolution":{"observed_at":"2026-08-06T19:06:07.138772Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1609/aaai.v31i1.10480","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Proceedings of the AAAI Conference on Artificial Intelligence","work_id":"d1aaa0f6-230f-482e-b42d-698f9f82a0ed","year":2017},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:01.259221Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:850ec4c25a4a9c9b5f2a12ad4f45db7df8cd3cf4ad2b39bb7532a5b4a10fb44f","observation_id":"75f23f0d-bafb-4284-9802-94f765cd668d","resolution":{"observed_at":"2026-08-06T19:06:04.153489Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:06:06.971477Z","title":null,"venue":null,"work_id":"2ad1d55c-4c9f-4ea1-91ea-0fc6b3503c97","year":1986},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:01.405749Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:370d82610f65b124caf4db4dfd6ca64f60e16e06d0c91fc787b53e026fa967ca","observation_id":"eb41a54c-c848-4c9f-b983-d31c9f310d3a","resolution":{"observed_at":"2026-08-06T19:06:06.995050Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1705.08821","last_updated":"2017-11-06T13:09:24Z","snapshot_observed_at":"2026-07-06T05:44:07.391932Z","submitted_at":"2017-05-24T15:33:48Z","title":"Causal Effect Inference with Deep Latent-Variable Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.08821","snapshot_observed_at":"2026-08-06T19:06:01.505075Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:01.505075Z"},"links":{"cited_paper":"/paper/1705.08821","citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:ab9c15dd2312d15158d04fc3b1f0643b3f8b8bded0f3f8f55a37d7c36180835f","observation_id":"8e5f1f45-1a3a-4cec-a4ae-8177e747a1a8","resolution":{"observed_at":"2026-08-06T19:06:01.505075Z","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":"2026-08-06T19:06:06.874447Z","title":"Lunceford and Marie Davidian","venue":null,"work_id":"b84a18ee-e75d-49f8-813e-e238209ff3f4","year":2004},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:01.641830Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:1259d9890617f96a09810de58eb15b7949d075aa0b5b630ffd4eff05adf6b50e","observation_id":"96a9c5bf-ce1f-4625-af21-70b6fe531c85","resolution":{"observed_at":"2026-08-06T19:06:06.907325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:06:01.737397Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:01.737397Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:9e3486ce08c974c3cbeefe9c74d4d3723745809f13e5ad75ab86778a93e6b61c","observation_id":"541f9595-2f3d-41b9-ae83-044430c3d88a","resolution":{"observed_at":"2026-08-06T19:06:01.737397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:06:01.811006Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:01.811006Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:b48f71dada735e5598803cc5b8f17487f9d3a332a87154768f406f01d0d57dbf","observation_id":"cf6c08f4-bda1-4ea9-84d9-4efef06ecfdd","resolution":{"observed_at":"2026-08-06T19:06:01.811006Z","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":"2026-08-06T19:06:06.753778Z","title":null,"venue":null,"work_id":"297be52d-9a1b-40a8-90d8-b5ec5539885a","year":2009},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:01.923318Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:0cac3972c3691f19632479e08f10e553d6e5720bb2694919d85f3fffb14d7bb9","observation_id":"e1888359-d758-405e-acdb-13fcb44d77ea","resolution":{"observed_at":"2026-08-06T19:06:06.806579Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:06:06.609082Z","title":"Pearl, M","venue":null,"work_id":"3b4b10fb-a899-43d5-b9cc-7fe3a07d278e","year":2016},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:02.142381Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:cccbb47bd47139b67fb6b95bdda169aaccbe1b285b9f99a8657f8bbf404971f4","observation_id":"751bd69c-7f3b-4b7e-957c-92c0687d4bec","resolution":{"observed_at":"2026-08-06T19:06:06.679204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:06:02.359192Z","title":"Rosenbaum and Donald B","venue":null,"work_id":null,"year":1983},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:02.359192Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:407c8fb742e8bc7eca05c790c58706a24bbb024b7112cd996608382077263cba","observation_id":"16fd3673-69fd-48bf-aaa8-08d3afb33650","resolution":{"observed_at":"2026-08-06T19:06:02.359192Z","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":"2026-08-06T19:06:06.351706Z","title":null,"venue":null,"work_id":"3fc67ed2-93e0-4cb7-92a2-899d2c95e186","year":1974},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:02.527353Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:b21c2e76727bcae2e3c4214e9670799b984208cfed371e06054e36a38cb5ecf0","observation_id":"4d5e50ca-22b0-4a15-a4e6-c4a77fc4428c","resolution":{"observed_at":"2026-08-06T19:06:06.455467Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:06:06.128766Z","title":null,"venue":null,"work_id":"7e507645-e99b-4503-8a8b-e1ea34fee20e","year":1997},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:02.728584Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:7d6439b8a389ff623c993fa991ea48b8a245762e572467ebecccea856f900246","observation_id":"df339072-94b3-47a8-aed3-9533133cf9f3","resolution":{"observed_at":"2026-08-06T19:06:06.249462Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1037/a0014268","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Psychological Methods","work_id":"4ccda5ef-180b-4e54-906a-0f1bf0ea8d02","year":2009},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:02.867151Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:3b6afbf817fddced90e8056fcf95aaf52e79f0f268f42b8dfef36a41384e2a07","observation_id":"bd6243ad-8f0f-4546-ac32-9fac3ad56743","resolution":{"observed_at":"2026-08-06T19:06:04.008330Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:06:05.959222Z","title":"Johansson, and David Sontag","venue":null,"work_id":"f29d4aa1-7157-4a37-9b69-e5bad4aebb3d","year":2017},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:03.054337Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:57eb5b004e4a18099d60d6ff8d160b0cc2c84c24fe60c0d8bd463a3458b6379c","observation_id":"00389feb-4f79-455b-9b0a-30d508d49d5f","resolution":{"observed_at":"2026-08-06T19:06:06.035764Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02120","last_updated":"2019-10-17T18:05:31Z","snapshot_observed_at":"2026-08-09T18:43:07.635595Z","submitted_at":"2019-06-05T16:47:13Z","title":"Adapting Neural Networks for the Estimation of Treatment Effects","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.02120","snapshot_observed_at":"2026-08-06T19:06:03.207322Z","title":"Blei, and Victor Veitch","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:03.207322Z"},"links":{"cited_paper":"/paper/1906.02120","citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:4d75fc7595554ca5fb93a396022d9d03d07e9f1ac4c974cadaa4390c054e6a27","observation_id":"5c4a4aa1-9e35-4ce3-9fdc-c1419203938c","resolution":{"observed_at":"2026-08-06T19:06:03.207322Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:06:03.266474Z","title":null,"venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:03.266474Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:88c7dc8f236b85f226313c67301c4cb987e6dc7daf568c476fd596fd1499a99a","observation_id":"3df30a43-9aa8-4620-a357-8edf41a80fb4","resolution":{"observed_at":"2026-08-06T19:06:03.266474Z","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":"2026-08-06T19:06:05.780959Z","title":null,"venue":null,"work_id":"a33524df-0507-4bd8-9d1c-154dcd806b0b","year":2011},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:03.320044Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:bae7f60adfccf532862fee2d7430d93e8add28b2ad1f115ae84b75a56b2f6e1a","observation_id":"ed375e24-5eb2-4648-8bfa-7155d0cff0a1","resolution":{"observed_at":"2026-08-06T19:06:05.843569Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03762","last_updated":"2023-08-02T00:41:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-06-12T17:57:34Z","title":"Attention Is All You Need","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03762","snapshot_observed_at":"2026-08-06T19:06:03.381654Z","title":"Gomez, Lukasz Kaiser, and Illia Polosukhin","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:03.381654Z"},"links":{"cited_paper":"/paper/1706.03762","citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:85005dee86aae3f6964603bfed07c0e560aad8bbafb3508cd671d5adf78c947d","observation_id":"4dc8d4d4-83dd-415a-b5ee-46fb4d58e0ea","resolution":{"observed_at":"2026-08-06T19:06:03.381654Z","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":"2026-08-06T19:06:05.556242Z","title":null,"venue":null,"work_id":"23d985d4-d00b-4ed0-9890-ac9de54abbc8","year":2022},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:03.474470Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:ade2f05432534fab4bae135fbd0feaa831e79d55d7fb10bc5db29e7bbaa61b43","observation_id":"f75620b5-0370-4f03-b44b-e6357b551bad","resolution":{"observed_at":"2026-08-06T19:06:05.655546Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2018.28729","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:06:04.543592Z","title":null,"venue":null,"work_id":"6731c231-9550-4fd1-9c30-e42d2ec8c7c3","year":2019},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:03.577366Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:b7d12f642c253880c51fd7c71955bd6297d2d7e27421408c543e6d970d3ca64f","observation_id":"3e5eeb76-c7ec-40a5-a4fb-39c89347ef5f","resolution":{"observed_at":"2026-08-06T19:06:04.610510Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:06:05.394895Z","title":null,"venue":null,"work_id":"d4ee1cf1-6f4d-4b0c-9da8-0971a1a41559","year":2021},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:03.681872Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:065555b5d40b88e2f49b805c2016b02a4ec025696385d71d8d723fc3e6c4d167","observation_id":"e0794ff5-a9cc-40e5-9768-fca333e1bac0","resolution":{"observed_at":"2026-08-06T19:06:05.459716Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T19:06:03.798249Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T19:06:03.798249Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:6294ec24f0afb7279692c4e4c3e4f681af72079664e3192ca88fc991f75c24e0","observation_id":"20e55166-0277-4c6c-8d8d-624b3a54ee51","resolution":{"observed_at":"2026-08-06T19:06:03.798249Z","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":"2026-08-06T19:06:08.098417Z","title":"In Proceedings of the AdKDD and TargetAd Workshop, KDD, London,United Kingdom, August, 20, 2018","venue":null,"work_id":"90fa5a93-aa16-4f27-bdec-49f2ba3f0c4c","year":2018},"citing_paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-06T19:05:59.911112Z"},"links":{"citing_paper":"/paper/2507.06650"},"observation_digest":"sha256:614d3f944a9430305035b6b01f6058a2d641c7573c46ba8217853c9b1e0c5369","observation_id":"d48e57fa-ea58-4094-9e9e-f76f09ce7f9c","resolution":{"observed_at":"2026-08-06T19:06:08.174031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.06650","last_updated":"2025-07-09T08:29:37Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T18:42:26.601796Z","submitted_at":"2025-07-09T08:29:37Z","title":"Deep Disentangled Representation Network for Treatment Effect Estimation"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":29,"verified_exact":2,"verified_fuzzy":7},"total_outbound_references":41},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2507.06650."}