{"as_of":"2026-08-10T11:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ed79be9c63d1504cc3185dce5050556a504c4c76a96bfc5d535f36736295579a","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-17T22:08:00.315412Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2511.10571/citation-record","integrity":"/paper/2511.10571/integrity","json":"/paper/2511.10571/citation-record.json","paper":"/paper/2511.10571"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Byron Boots, Sajid M Siddiqi, and Geoffrey J Gordon","venue":null,"work_id":"374590b1-03d5-4986-8561-f1ca2cf80661","year":2023},"citing_paper":{"arxiv_id":"2511.10571","last_updated":"2026-04-24T15:39:38Z","snapshot_observed_at":"2026-08-07T02:18:25.750018Z","submitted_at":"2025-11-13T18:08:19Z","title":"Differentiable Filtering for Learning Hidden Markov Models","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-17T22:08:00.315412Z"},"links":{"citing_paper":"/paper/2511.10571"},"observation_digest":"sha256:3e77c308c3cbece2e89f4abc54162598a3046ee3f9fc176069b81253b5bfc5e0","observation_id":"638e607c-d8ac-498e-8c10-a9a7e9356858","resolution":{"observed_at":"2026-05-17T22:12:09.871692Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Large-scale machine learning with stochastic gradient descent","venue":null,"work_id":"ee6fe84a-d260-4e5d-bea6-2b13c938ebcc","year":2010},"citing_paper":{"arxiv_id":"2511.10571","last_updated":"2026-04-24T15:39:38Z","snapshot_observed_at":"2026-08-07T02:18:25.750018Z","submitted_at":"2025-11-13T18:08:19Z","title":"Differentiable Filtering for Learning Hidden Markov Models","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-17T22:08:00.315412Z"},"links":{"citing_paper":"/paper/2511.10571"},"observation_digest":"sha256:adf9959ff5cc6e5a6d4dda734cb0b1344c8773833cc3b5838f67888134a3d09c","observation_id":"6f4b4a35-3a68-4829-9cde-ec4d42d5011a","resolution":{"observed_at":"2026-05-17T22:12:09.869600Z","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":"10.1137/16m1080173","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Bernstein, J., Wang, Y .-X., Azizzadenesheli, K., and Anand- kumar, A","venue":"SIAM Review","work_id":"f0b9c309-b10e-404c-85d6-b167d39fed82","year":2018},"citing_paper":{"arxiv_id":"2511.10571","last_updated":"2026-04-24T15:39:38Z","snapshot_observed_at":"2026-08-07T02:18:25.750018Z","submitted_at":"2025-11-13T18:08:19Z","title":"Differentiable Filtering for Learning Hidden Markov Models","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-17T22:08:00.315412Z"},"links":{"citing_paper":"/paper/2511.10571"},"observation_digest":"sha256:011e44a3aed22ed02e834b8724392269a95bd39ef814673158ef6050954e2dc6","observation_id":"660f050b-8e77-4a15-8400-ca029e1db926","resolution":{"observed_at":"2026-05-17T22:10:21.717124Z","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":"2026-08-06T20:38:20.642536+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-06T20:38:20.642536+00:00","source":"openalex_status_cache"},{"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":"2026-07-10T14:57:14.742120Z","title":"Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901","venue":null,"work_id":"84780adb-76cf-44ac-a8b7-e24d4fa5c592","year":1901},"citing_paper":{"arxiv_id":"2511.10571","last_updated":"2026-04-24T15:39:38Z","snapshot_observed_at":"2026-08-07T02:18:25.750018Z","submitted_at":"2025-11-13T18:08:19Z","title":"Differentiable Filtering for Learning Hidden Markov Models","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-17T22:08:00.315412Z"},"links":{"citing_paper":"/paper/2511.10571"},"observation_digest":"sha256:adc4985beaab3750c986fbaff0c1172043df4fa169e4377f92e5da7f6b5bf329","observation_id":"81487e76-4e56-4d35-8b77-1a734cda887e","resolution":{"observed_at":"2026-05-17T22:12:09.865437Z","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":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-10T01:12:16.468283Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":"2010.11929","doi":"10.1175/jcli-d-22-0357.1","metadata_source":"pith","pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","venue":"cs.CV","work_id":"e96730e3-129b-4db6-b981-15ab7932e297","year":2020},"citing_paper":{"arxiv_id":"2511.10571","last_updated":"2026-04-24T15:39:38Z","snapshot_observed_at":"2026-08-07T02:18:25.750018Z","submitted_at":"2025-11-13T18:08:19Z","title":"Differentiable Filtering for Learning Hidden Markov Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-17T22:08:00.315412Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2511.10571"},"observation_digest":"sha256:347806702308486af3ca8c13c187cbd78bcfc1b3d6bbfa92b16cf5d3a3739281","observation_id":"7b76cfb7-842f-4b27-adec-f30d02f9639d","resolution":{"observed_at":"2026-05-17T22:10:22.712482Z","resolver_source":"local_arxiv","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":"2026-06-05T21:23:00.469572Z","title":"Transformer feed-forward layers are key-value memories","venue":null,"work_id":"44b754cf-5022-45f2-b705-68d051287c3d","year":2021},"citing_paper":{"arxiv_id":"2511.10571","last_updated":"2026-04-24T15:39:38Z","snapshot_observed_at":"2026-08-07T02:18:25.750018Z","submitted_at":"2025-11-13T18:08:19Z","title":"Differentiable Filtering for Learning Hidden Markov Models","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-17T22:08:00.315412Z"},"links":{"citing_paper":"/paper/2511.10571"},"observation_digest":"sha256:b38830c6d6f34400d89c4c736120b4d51d71618c4287fcde926eccf9fcee78d7","observation_id":"79fb60c1-f1e7-43ac-8c47-4b6a0131e205","resolution":{"observed_at":"2026-05-17T22:12:09.873968Z","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":"2406.04089","last_updated":"2024-06-06T13:59:51Z","snapshot_observed_at":"2026-08-09T06:30:36.182572Z","submitted_at":"2024-06-06T13:59:51Z","title":"On Limitation of Transformer for Learning HMMs","version":1},"cited_work":{"arxiv_id":"2406.04089","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04089","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"On limitation of transformer for learning hmms.arXiv preprint arXiv:2406.04089","venue":null,"work_id":"8404971b-e522-4016-a7ef-40a4b54e1ff8","year":null},"citing_paper":{"arxiv_id":"2511.10571","last_updated":"2026-04-24T15:39:38Z","snapshot_observed_at":"2026-08-07T02:18:25.750018Z","submitted_at":"2025-11-13T18:08:19Z","title":"Differentiable Filtering for Learning Hidden Markov Models","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-17T22:08:00.315412Z"},"links":{"cited_paper":"/paper/2406.04089","citing_paper":"/paper/2511.10571"},"observation_digest":"sha256:a0a4c5af0ee3de48de3578a14bca65c11fb0d21ba129a65372296ec74a6172b1","observation_id":"ac2129b5-eddf-4513-8b3a-87e01e078280","resolution":{"observed_at":"2026-05-17T22:10:22.706441Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2503.01869","last_updated":"2025-04-11T00:37:11Z","snapshot_observed_at":"2026-08-09T06:14:24.689147Z","submitted_at":"2025-02-25T21:50:46Z","title":"From Small to Large Language Models: Revisiting the Federalist Papers","version":2},"cited_work":{"arxiv_id":"2503.01869","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.01869","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"From small to large language models: Revisiting the feder- alist papers.arXiv preprint arXiv:2503.01869","venue":null,"work_id":"dac3363d-46da-4dfa-8a66-a40fc9e8fee4","year":null},"citing_paper":{"arxiv_id":"2511.10571","last_updated":"2026-04-24T15:39:38Z","snapshot_observed_at":"2026-08-07T02:18:25.750018Z","submitted_at":"2025-11-13T18:08:19Z","title":"Differentiable Filtering for Learning Hidden Markov Models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-17T22:08:00.315412Z"},"links":{"cited_paper":"/paper/2503.01869","citing_paper":"/paper/2511.10571"},"observation_digest":"sha256:fd364f11ebd21a6736e93e88c3ce3c9fb6b6ec8e251f6f80d9f27834feddba1c","observation_id":"a6511b99-04bf-47ed-80d2-1aa0f015f8e3","resolution":{"observed_at":"2026-05-17T22:10:22.715750Z","resolver_source":"arxiv_id","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":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-08-09T20:34:52.923500Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":"1711.05101","doi":"10.1137/1.9781611972825.47","metadata_source":"pith","pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Decoupled Weight Decay Regularization","venue":"cs.LG","work_id":"07ef7360-d385-4033-83f7-8384a6325204","year":2017},"citing_paper":{"arxiv_id":"2511.10571","last_updated":"2026-04-24T15:39:38Z","snapshot_observed_at":"2026-08-07T02:18:25.750018Z","submitted_at":"2025-11-13T18:08:19Z","title":"Differentiable Filtering for Learning Hidden Markov Models","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-17T22:08:00.315412Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2511.10571"},"observation_digest":"sha256:d12be3c087342cf1925ab250edc008344f68ea2f86375480097a2a7cad689708","observation_id":"dbdef9a2-50b2-4eaa-bf04-0e12705af24b","resolution":{"observed_at":"2026-05-17T22:10:22.718938Z","resolver_source":"local_arxiv","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":{"arxiv_id":"2011.04006","last_updated":"2020-11-08T15:53:56Z","snapshot_observed_at":"2026-08-09T15:12:21.086848Z","submitted_at":"2020-11-08T15:53:56Z","title":"Long Range Arena: A Benchmark for Efficient Transformers","version":1},"cited_work":{"arxiv_id":"2011.04006","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2011.04006","snapshot_observed_at":"2026-07-04T03:29:29.405310Z","title":"Long range arena: A benchmark for efficient transformers","venue":null,"work_id":"ea19357f-7ac8-485e-a184-a8a0452e44d2","year":2011},"citing_paper":{"arxiv_id":"2511.10571","last_updated":"2026-04-24T15:39:38Z","snapshot_observed_at":"2026-08-07T02:18:25.750018Z","submitted_at":"2025-11-13T18:08:19Z","title":"Differentiable Filtering for Learning Hidden Markov Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-17T22:08:00.315412Z"},"links":{"cited_paper":"/paper/2011.04006","citing_paper":"/paper/2511.10571"},"observation_digest":"sha256:35c0ad71a9dc5ef5a7929b2da5351aec9e5e70c2c1a066e29aac4a220c5700b7","observation_id":"245ea047-03d5-486b-9bed-a029a1b1da86","resolution":{"observed_at":"2026-05-17T22:10:22.703326Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2509.07474","last_updated":"2025-09-09T07:52:28Z","snapshot_observed_at":"2026-08-04T22:14:48.412254Z","submitted_at":"2025-09-09T07:52:28Z","title":"DKFNet: Differentiable Kalman Filter for Field Inversion and Machine Learning","version":1},"cited_work":{"arxiv_id":"2509.07474","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2509.07474","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Yuan Wu and Sicheng He","venue":null,"work_id":"d28f9643-6b70-4d06-8b97-48505cde04dd","year":null},"citing_paper":{"arxiv_id":"2511.10571","last_updated":"2026-04-24T15:39:38Z","snapshot_observed_at":"2026-08-07T02:18:25.750018Z","submitted_at":"2025-11-13T18:08:19Z","title":"Differentiable Filtering for Learning Hidden Markov Models","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-17T22:08:00.315412Z"},"links":{"cited_paper":"/paper/2509.07474","citing_paper":"/paper/2511.10571"},"observation_digest":"sha256:3c0822e173da80bb5e16f96e9fd99ff3985f06ec3ee9eb207bb5f950e9212186","observation_id":"61de5783-83bd-4c45-b4cd-022eb6d364c4","resolution":{"observed_at":"2026-05-17T22:10:22.709477Z","resolver_source":"arxiv_id","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":"2026-06-05T21:23:00.469572Z","title":"•Related Work:A review of related literature on learning state-space models and connections to neural network architectures","venue":null,"work_id":"a0a95fb9-20f2-4a28-a82a-4d0105e5c241","year":2008},"citing_paper":{"arxiv_id":"2511.10571","last_updated":"2026-04-24T15:39:38Z","snapshot_observed_at":"2026-08-07T02:18:25.750018Z","submitted_at":"2025-11-13T18:08:19Z","title":"Differentiable Filtering for Learning Hidden Markov Models","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-17T22:08:00.315412Z"},"links":{"citing_paper":"/paper/2511.10571"},"observation_digest":"sha256:ff12972ae9749ba3e748eb9b9de65df0fe4eab44a679c51a89b6d69aac58b970","observation_id":"3bdcbed8-eb66-4aee-9473-5bdfbd5d1b42","resolution":{"observed_at":"2026-05-17T22:12:09.867605Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"6e954420-62ab-494d-baa1-23771ddfdac8","year":2021},"citing_paper":{"arxiv_id":"2511.10571","last_updated":"2026-04-24T15:39:38Z","snapshot_observed_at":"2026-08-07T02:18:25.750018Z","submitted_at":"2025-11-13T18:08:19Z","title":"Differentiable Filtering for Learning Hidden Markov Models","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-17T22:08:00.315412Z"},"links":{"citing_paper":"/paper/2511.10571"},"observation_digest":"sha256:b33e163e00a1b4bd23077511a40bceb0e8521d5d3f57d8c863bb484948868752","observation_id":"ad7ff3be-b982-4b25-8dda-4a2d20923393","resolution":{"observed_at":"2026-05-17T22:12:09.878578Z","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":"2026-06-05T21:23:00.469572Z","title":"Sec- tion B.2 describes the spectral algorithm adapted from thespectral-learningrepository, extended with a custom probability prediction function","venue":null,"work_id":"e77f3762-8474-4da1-992e-4000801d8fcb","year":2024},"citing_paper":{"arxiv_id":"2511.10571","last_updated":"2026-04-24T15:39:38Z","snapshot_observed_at":"2026-08-07T02:18:25.750018Z","submitted_at":"2025-11-13T18:08:19Z","title":"Differentiable Filtering for Learning Hidden Markov Models","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-17T22:08:00.315412Z"},"links":{"citing_paper":"/paper/2511.10571"},"observation_digest":"sha256:5cc7af6852c84302b21378cccf2527a8a6d512e286f96ca403217437ca6a7177","observation_id":"4e3f8ca3-47d6-4f7b-ae64-080fee5d8187","resolution":{"observed_at":"2026-05-17T22:12:09.880830Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"15 CHENCHANGMEHTA B.3","venue":null,"work_id":"1ff18579-b677-44d5-9de1-55c806b17702","year":2024},"citing_paper":{"arxiv_id":"2511.10571","last_updated":"2026-04-24T15:39:38Z","snapshot_observed_at":"2026-08-07T02:18:25.750018Z","submitted_at":"2025-11-13T18:08:19Z","title":"Differentiable Filtering for Learning Hidden Markov Models","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-17T22:08:00.315412Z"},"links":{"citing_paper":"/paper/2511.10571"},"observation_digest":"sha256:d5a592666a623ae18d92c9778395cd6d494058af89af1891e672d3840c8b953c","observation_id":"a3c2feb4-9dcc-456b-9ee6-2050f66e00ab","resolution":{"observed_at":"2026-05-17T22:12:09.876489Z","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":"8617.40482","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"2ff22d7e-aec9-447b-908b-43dd28a7475d","year":null},"citing_paper":{"arxiv_id":"2511.10571","last_updated":"2026-04-24T15:39:38Z","snapshot_observed_at":"2026-08-07T02:18:25.750018Z","submitted_at":"2025-11-13T18:08:19Z","title":"Differentiable Filtering for Learning Hidden Markov Models","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-17T22:08:00.315412Z"},"links":{"citing_paper":"/paper/2511.10571"},"observation_digest":"sha256:e91cdf3a32cc70d677b456367f17b18f59247d7573450c0d4b8fdefa0d283a68","observation_id":"231d933e-b8a8-4986-a9f5-570e59246eb1","resolution":{"observed_at":"2026-05-17T22:10:22.721964Z","resolver_source":"arxiv_id","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"}}],"paper":{"arxiv_id":"2511.10571","last_updated":"2026-04-24T15:39:38Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T02:18:25.750018Z","submitted_at":"2025-11-13T18:08:19Z","title":"Differentiable Filtering for Learning Hidden Markov Models"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":8,"verified_fuzzy":7},"total_outbound_references":16},"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 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2511.10571."}