{"as_of":"2026-08-09T23:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:997e2515abe19c712292785b2fbf119d39bc81e77c500b6e10f4ccf10b02f2ca","coverage":[{"denominator":43,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":43,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T10:42:22.589777Z","state":"measured"},{"denominator":43,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":43,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2509.03845/citation-record","integrity":"/paper/2509.03845/integrity","json":"/paper/2509.03845/citation-record.json","paper":"/paper/2509.03845"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.326316Z","title":"W.; Pfau, D.; Schaul, T.; Shillingford, B.; and De Freitas, N","venue":null,"work_id":"6fbd5ea2-4741-4552-ae37-02105fb2925f","year":2016},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.404643Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:2dab95d4be7823178a7f8d84e4a27801618332ccacc141805847e3588f6a16bb","observation_id":"5bccbc80-89dc-4366-80da-36a4889d1d6e","resolution":{"observed_at":"2026-08-05T10:42:23.331146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.310732Z","title":null,"venue":null,"work_id":"69d66eb3-f195-47e0-9cd2-3f2f955ce4c4","year":2019},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.409455Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:cf210a71740ef75bb784628a0ac405cc151d3bdc2b2fede64c32db0645c86d9a","observation_id":"ba4d3bcc-f151-4d37-91e2-e895ac89b8ce","resolution":{"observed_at":"2026-08-05T10:42:23.315572Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.295667Z","title":null,"venue":null,"work_id":"684bd8f2-af09-44f2-bc17-8606ed4d8886","year":2017},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.413891Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:53aab12c27e156cfa2b4ea20e129276e7d7bab03d965034879d958e929d4c06e","observation_id":"1788b3b6-d054-45e8-bd95-bb44728807bf","resolution":{"observed_at":"2026-08-05T10:42:23.300312Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.280519Z","title":null,"venue":null,"work_id":"5679f5cd-9125-4366-9fff-ad1e95f8c8c4","year":2013},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.418644Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:a8a0ea87eea52a46a0c5aa05b6ec7977a406de7b374f63e09ff9db3461b1dce5","observation_id":"6f7de3f3-41dc-4af7-ad85-53753767dacd","resolution":{"observed_at":"2026-08-05T10:42:23.284810Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.263806Z","title":null,"venue":null,"work_id":"50904549-35e5-4e3e-884a-c7db6cea749a","year":2022},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.422911Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:73a3bbd577f2845c35e4376042a27ac373853ab54c804e8e2f5101a9ee60a258","observation_id":"65cef91b-9b8a-461f-98b9-dc18aa665df6","resolution":{"observed_at":"2026-08-05T10:42:23.269526Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.247365Z","title":null,"venue":null,"work_id":"38b8799d-ea16-4f7c-9e66-9c85a14355de","year":2023},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.427600Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:aa5d706feb383bdad4619eade33fbe0720f438e424b3b381b73b24de194f20fe","observation_id":"07b316db-f660-4474-b17a-069f2c45d0ff","resolution":{"observed_at":"2026-08-05T10:42:23.252508Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.232508Z","title":null,"venue":null,"work_id":"d8b17594-3343-4f5d-a295-93f8dfcdd671","year":2021},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.432323Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:6d065d54529057fa3239eb8f2b264436dc9d533496ee13cd374d36078789bfc7","observation_id":"d491e0f6-6c91-4a5d-a354-30ebba50928c","resolution":{"observed_at":"2026-08-05T10:42:23.236889Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.02779","last_updated":"2016-11-10T01:17:36Z","snapshot_observed_at":"2026-08-02T07:58:55.035919Z","submitted_at":"2016-11-09T00:13:29Z","title":"RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.02779","snapshot_observed_at":"2026-08-05T10:42:22.436674Z","title":"L.; Sutskever, I.; and Abbeel, P","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.436674Z"},"links":{"cited_paper":"/paper/1611.02779","citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:c7bf4cea0bf8b3d8c39a03e94267d9bb759069937b9a27fb1602f2f825f1366c","observation_id":"4bc724a3-5fb4-4218-bc33-5b5cabd9eb08","resolution":{"observed_at":"2026-08-05T10:42:22.436674Z","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":"2026-08-05T10:42:23.216479Z","title":null,"venue":null,"work_id":"ace55499-bb65-4a65-9d89-f337c0376334","year":2020},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.441463Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:c5f36f6bdab755e47e8c02613e164303bdf78d6d2bf35ee115299e30fe49460c","observation_id":"2f585762-ffef-4fb7-bc54-ebc50ade8a33","resolution":{"observed_at":"2026-08-05T10:42:23.221311Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.200990Z","title":null,"venue":null,"work_id":"d1b784f5-c9d0-414f-9c38-42ee26fc51aa","year":2017},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.445857Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:436795bcdcd217822b3354b2c028c96608b27332639273da3e8685f490777cc3","observation_id":"869344a4-d385-4862-b40c-781583ed203e","resolution":{"observed_at":"2026-08-05T10:42:23.205835Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.184919Z","title":null,"venue":null,"work_id":"5b4f21ad-40cb-4595-84bb-9c4d25c10785","year":2018},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.449897Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:447bf1ebf80232896af2434a7e696f6c801fdf65129eb616cdf8d36adef4e72d","observation_id":"e0222413-538a-4e1f-85f3-4c580c736c62","resolution":{"observed_at":"2026-08-05T10:42:23.189724Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.169551Z","title":null,"venue":null,"work_id":"0b6f1328-a1e1-4071-bb31-312bba1382a7","year":2021},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.454486Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:326663df60f37c8b108599da36cbcf97e5dbed5f097a1a6c9b6e0b4ead359895","observation_id":"bfd6b373-0fc5-40ad-b6d1-25d7f8f828a2","resolution":{"observed_at":"2026-08-05T10:42:23.174290Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.154465Z","title":"E.; and Hegde, N","venue":null,"work_id":"7fb9aabc-9d94-4f2d-a277-f7a9ebaad260","year":2020},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.458953Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:d9213f7da292348669a46747317dc1fe5c0ae0eddd5949664be140603a5baf89","observation_id":"30b54f61-4936-4b11-adae-5fd8e1d40454","resolution":{"observed_at":"2026-08-05T10:42:23.158595Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.15377","last_updated":"2020-12-31T00:12:46Z","snapshot_observed_at":"2026-08-09T21:17:39.883534Z","submitted_at":"2020-12-31T00:12:46Z","title":"Model Free Reinforcement Learning Algorithm for Stationary Mean field Equilibrium for Multiple Types of Agents","version":1},"cited_work":{"arxiv_id":"2012.15377","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.15377","snapshot_observed_at":"2026-08-05T10:42:22.693850Z","title":"Model Free Reinforcement Learning Algorithm for Stationary Mean field Equilibrium for Multiple Types of Agents","venue":"cs.MA","work_id":"8c9b792f-0b5d-4466-801d-a0cc427a505d","year":2020},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.463145Z"},"links":{"cited_paper":"/paper/2012.15377","citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:b155f3ba776205b7750cda2e737ba6c840dcc16a51a6285a9f6d9be9ac84cd06","observation_id":"43537e53-32bc-4333-a183-690eb03536bc","resolution":{"observed_at":"2026-08-05T10:42:22.699194Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.139324Z","title":"A.; Mohr, J.; and Souza, R","venue":null,"work_id":"61861059-ca2c-42e2-9eed-ef6b5c445acf","year":2010},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.467629Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:32feab91f0620eca847bf5d4cb3b8a47de7f5b411308a95cdbe4348c9e94f9ab","observation_id":"0e91481b-0f36-4c76-aebd-77d4f7cb73b2","resolution":{"observed_at":"2026-08-05T10:42:23.144086Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.124140Z","title":null,"venue":null,"work_id":"7afbe1aa-5736-48bc-a789-db3eaf2bddc4","year":2014},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.471982Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:663fbc76c7fd45f07ad73069a659df67c56a49c4ef85d6474a6474b8b487b975","observation_id":"70907330-5f19-4e60-b814-e8ffb390658f","resolution":{"observed_at":"2026-08-05T10:42:23.128743Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.105390Z","title":null,"venue":null,"work_id":"add27890-b18e-4b53-9175-9752fe6484b1","year":2019},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.476190Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:de741826169eefac3edfee161e5430f81cbdbccee2902546fee9bdbd06d422a1","observation_id":"74b4cfcc-30f5-4a7d-8efb-9b7716164cf4","resolution":{"observed_at":"2026-08-05T10:42:23.109918Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.088361Z","title":null,"venue":null,"work_id":"1b888e4a-dfc1-4e7d-85e6-fee00b61ee5c","year":2016},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.480277Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:2e9807e1dc5dcfcf02d571d4e8075bef7d68306643dc9939ab4a677378f67caa","observation_id":"9de2689b-1481-4c42-b2f6-3a2d1ced2715","resolution":{"observed_at":"2026-08-05T10:42:23.093766Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.070885Z","title":null,"venue":null,"work_id":"fd063a0a-306e-4299-8e27-de27d0288245","year":2017},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.484407Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:2108a0320a708c12d8f8bd4a46bc68ed43286aa0cc392d417770f5e53552849e","observation_id":"2c658fd5-a687-4a47-8152-44518faa90ad","resolution":{"observed_at":"2026-08-05T10:42:23.075619Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.051735Z","title":"P.; Caines, P","venue":null,"work_id":"9f23549c-1fea-4b2e-9805-3c098a70952e","year":2006},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.488626Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:19a77b3f2b0c8cb2d8cb9c8100a816ffbc1d9a9a335019bc3766a910347b5501","observation_id":"c2c641c4-5c8e-4cc3-85b0-ac5595c4c66b","resolution":{"observed_at":"2026-08-05T10:42:23.056335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.036463Z","title":null,"venue":null,"work_id":"fc960c7b-cba1-422b-9c20-50073e32f238","year":2007},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.492526Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:d043fc04e550047717efd16f5474c7d5e2083f12135209d56e0ea3395de79125","observation_id":"f3ddb124-475f-4f41-84bf-c27aa897bde5","resolution":{"observed_at":"2026-08-05T10:42:23.041066Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.03141","last_updated":"2018-02-25T04:55:20Z","snapshot_observed_at":"2026-07-06T05:50:35.749193Z","submitted_at":"2017-07-11T06:21:31Z","title":"A Simple Neural Attentive Meta-Learner","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.03141","snapshot_observed_at":"2026-08-05T10:42:22.496642Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.496642Z"},"links":{"cited_paper":"/paper/1707.03141","citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:a470a07d23650bd89e8c913834a0e64b558f3dce46d327a73c18cd79feeaad01","observation_id":"01b9f78c-9d62-49a7-9b8f-f36f01e6d429","resolution":{"observed_at":"2026-08-05T10:42:22.496642Z","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":"2026-08-05T10:42:23.019599Z","title":"Y.; Harada, D.; and Russell, S","venue":null,"work_id":"55927b39-c2ae-4a22-a13c-b3ebd115aa94","year":1999},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.501054Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:c2cee0135193c9151d220adfcfe0be6461a9cc4c2c1914d0b5da2f7294970d45","observation_id":"f747008d-86d9-4cae-a78c-d3b0a2009aa4","resolution":{"observed_at":"2026-08-05T10:42:23.024739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:23.003624Z","title":"Y.; and Russell, S","venue":null,"work_id":"32902430-91bd-400b-89f0-3bbfae1f8421","year":2000},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.505726Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:0ed4266050b4bffee07a908b731b2aae25451c36f5110bb069970cd225fccd92","observation_id":"e1f68119-5d83-4b2e-b6b3-4d205eb4c25a","resolution":{"observed_at":"2026-08-05T10:42:23.008330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:22.989169Z","title":null,"venue":null,"work_id":"609b97ce-6399-4385-8621-e1cd985d0032","year":2019},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.510096Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:da75f428a1da34be45d96666ddffe436008b577bc797c9256b532c857b952a9c","observation_id":"3be08c7b-fb56-463b-bcd6-431585cb4ee6","resolution":{"observed_at":"2026-08-05T10:42:22.993515Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:22.972142Z","title":"D.; Bagnell, J","venue":null,"work_id":"5afa5e1c-f3c8-4921-b0eb-9bec350811dd","year":2006},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.514547Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:ed72d2f2adc4d4eb17f1dd82c499c6321fd0f7de15cc2136b5eaed2cfe432def","observation_id":"17eb6b1d-c922-4deb-ac5c-6fe278f332a2","resolution":{"observed_at":"2026-08-05T10:42:22.977713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:22.954170Z","title":null,"venue":null,"work_id":"bbbbb77a-3f08-4eec-8ef9-e499851f8204","year":2016},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.518782Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:116b8685b38afbbe7ba9eb0e188ad24ed09c7429cb9c7c0cde5302b5b0129975","observation_id":"c862517e-167f-4fac-a487-643505a70662","resolution":{"observed_at":"2026-08-05T10:42:22.961062Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:22.938313Z","title":null,"venue":null,"work_id":"db0b6254-97e9-4cfd-aa18-7b810714f6d0","year":2016},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.523354Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:540cb4baf204f20266e3686c8a034d14c9bd8ded9a838b6c03b4447c21642974","observation_id":"185d53e6-6c00-43ff-898c-e1a0bc8e1e29","resolution":{"observed_at":"2026-08-05T10:42:22.942707Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:22.921549Z","title":"K.; Gu, S","venue":null,"work_id":"e00057c8-bf3d-47fc-9cbc-65300210b1cc","year":2019},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.527488Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:4bddae2847f45b9307f44dc00b8ea45dafb3f535c91206a49793f79c9ccccbe4","observation_id":"311d5979-646c-41d2-af01-ece270966855","resolution":{"observed_at":"2026-08-05T10:42:22.927134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:22.906259Z","title":null,"venue":null,"work_id":"2adf128c-2aee-4399-828f-a66f4a5e4ff6","year":2019},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.531772Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:23c50711199d2bfe61b8e90fe4e067cbf5afa2c2ab5a50687190ab97373de79b","observation_id":"448fe071-28d2-4fa9-99c3-0921b65af091","resolution":{"observed_at":"2026-08-05T10:42:22.910503Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:22.890877Z","title":null,"venue":null,"work_id":"6a9c4928-24c2-4b81-b9ad-f9d370c2bed8","year":2018},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.536378Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:96d5253d6fcac4890806044627384b879c40aab34166fb45cb2ee7c3ef729150","observation_id":"71e7df16-7017-45e8-94ca-9a74cb00daba","resolution":{"observed_at":"2026-08-05T10:42:22.895537Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:22.875182Z","title":null,"venue":null,"work_id":"188483ce-4349-434e-9e54-dd35ec169f3e","year":2012},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.541099Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:ab4773222119603e495c94faa0cfe086487900c4c92277db725737fe455a621f","observation_id":"8d93da7d-1492-4d05-b33e-7e554d7e72c3","resolution":{"observed_at":"2026-08-05T10:42:22.879839Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.05763","last_updated":"2017-01-23T12:38:24Z","snapshot_observed_at":"2026-07-06T05:19:05.390653Z","submitted_at":"2016-11-17T16:29:11Z","title":"Learning to reinforcement learn","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.05763","snapshot_observed_at":"2026-08-05T10:42:22.545564Z","title":"X.; Kurth-Nelson, Z.; Tirumala, D.; Soyer, H.; Leibo, J","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.545564Z"},"links":{"cited_paper":"/paper/1611.05763","citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:e12eff7119dada95b0f3b6a1e65a9b67371ec75a297db99fc768b1c483b501ce","observation_id":"f512616b-1c2b-4107-8ab8-1902a84a8f68","resolution":{"observed_at":"2026-08-05T10:42:22.545564Z","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":"2026-08-05T10:42:22.858635Z","title":"Y.; Benkard, C","venue":null,"work_id":"f9803053-2731-45eb-9c65-ce1d7fe45b5c","year":2010},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.549844Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:cd25158727783ea62b1ea8059ec21b8a9523c2bde858e8e89837c5bf21aa5dbd","observation_id":"88c39dc4-61ef-4f96-897e-2c5aec902f9d","resolution":{"observed_at":"2026-08-05T10:42:22.863963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:22.841179Z","title":null,"venue":null,"work_id":"19664fec-b52f-440a-918c-41648b4e910a","year":2019},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.554135Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:03b431df6b96fdcadecb06cbe78457a24751742cdb0ea9ec1178aeea9ed753e1","observation_id":"7f6ee27b-4550-400e-bb95-39e05b4eaa2f","resolution":{"observed_at":"2026-08-05T10:42:22.846593Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:22.824879Z","title":null,"venue":null,"work_id":"adf7777a-0a70-426b-b72b-d1eb985fee77","year":2018},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.559295Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:8b6dd422c947ece7e0af09fbf30526290a92e474a2df7e466da5033e9be811c1","observation_id":"b14cd2be-e79e-4e8e-8087-da90f9074a2c","resolution":{"observed_at":"2026-08-05T10:42:22.829379Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:22.806355Z","title":null,"venue":null,"work_id":"785fcc25-cbcf-40e8-baae-6b92140738f7","year":2018},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.563573Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:537d656c1fb970425eedacc7581c7702d11dd2996cb6a15e08bdab3e6ea4bc39","observation_id":"ea06bb38-a711-4e07-a0bd-ade34581eb9a","resolution":{"observed_at":"2026-08-05T10:42:22.811286Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:22.789530Z","title":null,"venue":null,"work_id":"b8b788fe-1ccf-4fd8-9fa3-715bd95da090","year":2019},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.568376Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:b6b43f8bbb1c881d0c3a24d4f886b34177ed0f05a907fae8d2f0730e24777aae","observation_id":"a14c2577-0e9a-4add-b89c-646af95d900e","resolution":{"observed_at":"2026-08-05T10:42:22.794518Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:22.774117Z","title":null,"venue":null,"work_id":"d26f2533-6352-4940-9f46-0476af29beb5","year":2019},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.572677Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:3511a92b6dc51a7d4cfbac1151b0c2b29c8bf32f6a4f5b3d42c017e803560808","observation_id":"16395c3e-bb9c-4f83-a959-7b2464a5e105","resolution":{"observed_at":"2026-08-05T10:42:22.778723Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:22.758955Z","title":null,"venue":null,"work_id":"653fdccb-ffba-4a36-a168-051600736dc8","year":2019},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.576816Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:84e2f0cc5e52420bcf3508cfe36e8f64b9f7df2e6f58becc360b2444eb1b84aa","observation_id":"bfd52970-73ee-4c48-a734-eaeecbd34f76","resolution":{"observed_at":"2026-08-05T10:42:22.763230Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.06514","last_updated":"2018-07-08T00:21:02Z","snapshot_observed_at":"2026-07-06T06:45:17.424467Z","submitted_at":"2018-06-18T06:51:28Z","title":"The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models","version":2},"cited_work":{"arxiv_id":"1806.06514","doi":null,"metadata_source":"pith","pith_arxiv_id":"1806.06514","snapshot_observed_at":"2026-08-05T10:42:22.630562Z","title":"The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models","venue":"stat.ML","work_id":"66e0a05f-1602-4990-a39e-12b1c4e80da1","year":2018},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.581100Z"},"links":{"cited_paper":"/paper/1806.06514","citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:b4a00e1fe6b3847dd8b9778c3bdfe756787dc57fede33af2712e5783613078f7","observation_id":"0908e152-76d7-4a24-9c1a-32769a196f8d","resolution":{"observed_at":"2026-08-05T10:42:22.638002Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:22.744338Z","title":"D.; Bagnell, J","venue":null,"work_id":"46a32a50-ab99-49c7-8ae0-807a4919f0d7","year":2010},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.585662Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:bb96ee8364f6069c3a17665fa43c091438f4dd8d3447c475017255643ab251b7","observation_id":"baaafbdb-1f1a-429f-8f93-17d5b30af4d3","resolution":{"observed_at":"2026-08-05T10:42:22.748415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:42:22.729731Z","title":"D.; Maas, A.; Bagnell, J","venue":null,"work_id":"f3e0ffbd-4d80-4048-988a-119be6cb5c51","year":2008},"citing_paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-05T10:42:22.589777Z"},"links":{"citing_paper":"/paper/2509.03845"},"observation_digest":"sha256:ac8cacea97b6146a37474ae7902d1721ede5e5a9777d74ba4adc6ce1b7c803fd","observation_id":"e257ec14-d856-415e-bed0-4980cf02b896","resolution":{"observed_at":"2026-08-05T10:42:22.734016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.03845","last_updated":"2025-09-04T03:13:11Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T10:42:20.766741Z","submitted_at":"2025-09-04T03:13:11Z","title":"Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables"},"reference_resolution":{"displayed":43,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":30,"verified_exact":2,"verified_fuzzy":11},"total_outbound_references":43},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2509.03845."}