{"as_of":"2026-08-08T03:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:eacfed3bb72f7bd35113e8158d8a3147a5e8dfc0ee969b94a331fb49dc3c6984","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":28,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:58:35.856533Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":317,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2001.04385","last_updated":"2021-11-02T12:06:44Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-01-13T16:40:35Z","title":"Universal Differential Equations for Scientific Machine Learning","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-18T00:24:43.260892Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2001.04385"},"observation_digest":"sha256:abe70b4017155b651453cf23503fa56036909abab87b131ea9793454f33d1fd0","observation_id":"3c51c20b-77cf-4dd1-95c2-16b9a0cc81dd","resolution":{"observed_at":"2026-05-18T00:24:43.451186Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-07T00:58:35.856533Z","title":"Greydanus, M","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.12493","last_updated":"2025-06-14T13:12:25Z","snapshot_observed_at":"2026-08-07T17:48:45.226951Z","submitted_at":"2025-06-14T13:12:25Z","title":"Symmetry-preserving neural networks in lattice field theories","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T00:58:35.856533Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2506.12493"},"observation_digest":"sha256:5f011f2a4c71c8db494d81ff6c7e01eb71b407ba3ec17b6c9f492783c3e110e5","observation_id":"267ce6c6-dc3c-4786-a56f-4d3d639dd0cc","resolution":{"observed_at":"2026-08-07T00:58:35.856533Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2602.09100","last_updated":"2026-04-08T19:39:17Z","snapshot_observed_at":"2026-07-06T22:45:11.110274Z","submitted_at":"2026-02-09T19:00:03Z","title":"Area Scaling of Dynamical Degrees of Freedom in Regularised Scalar Field Theory","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-16T05:13:33.143479Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2602.09100"},"observation_digest":"sha256:59cab2f70749b285f7ddef25f3dd19ce5d71660be2769aa1bf25c42030532e77","observation_id":"51447153-ec9a-4d89-a271-a449eb454b4f","resolution":{"observed_at":"2026-05-16T05:17:22.623732Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-02T23:06:36.748661Z","title":"Available: https://arxiv.org/abs/1906.01563","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2602.14947","last_updated":"2026-07-28T07:14:02Z","snapshot_observed_at":"2026-08-06T11:26:19.536946Z","submitted_at":"2026-02-16T17:28:42Z","title":"Gradient Networks for Universal Magnetic Modeling of Synchronous Machines","version":3},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-02T23:06:36.748661Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2602.14947"},"observation_digest":"sha256:8e14a5dedbff55e1aae26c9673ecedae954ed054976160c7525e4931e07aae29","observation_id":"7fe8304a-a9c9-4f86-917b-f390081cfa4c","resolution":{"observed_at":"2026-08-02T23:06:36.748661Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2604.23606","last_updated":"2026-04-26T08:37:10Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-26T08:37:10Z","title":"Hamiltonian Graph Inference Networks: Joint structure discovery and dynamics prediction for lattice Hamiltonian systems from trajectory data","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-08T06:27:21.654020Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2604.23606"},"observation_digest":"sha256:aee6e1478d2edddeff3d7fcaca7d510408ab9a46c52dec43a17bcc6ca0d92261","observation_id":"142259bd-35fd-4297-90a3-721653056bf8","resolution":{"observed_at":"2026-05-08T23:14:26.489421Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2604.25435","last_updated":"2026-04-28T09:44:01Z","snapshot_observed_at":"2026-07-31T17:55:56.925274Z","submitted_at":"2026-04-28T09:44:01Z","title":"PI-TTA: Physics-Informed Source-Free Test-Time Adaptation for Robust Human Activity Recognition on Mobile Devices","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-07T16:41:05.442724Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2604.25435"},"observation_digest":"sha256:f6ce6a97d004bcd7592d3eeabdd9169d765dae9de6b239a68795204c4a9a9e57","observation_id":"c34c0450-6436-4a71-ac8f-33acdd496fe0","resolution":{"observed_at":"2026-05-11T23:36:25.987066Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2605.15881","last_updated":"2026-05-15T11:58:15Z","snapshot_observed_at":"2026-08-02T01:37:03.001059Z","submitted_at":"2026-05-15T11:58:15Z","title":"Symplectic Neural Operators for Learning Infinite Dimensional Hamiltonian Systems","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-05-19T19:23:10.537100Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2605.15881"},"observation_digest":"sha256:d5b4b9ec7104e0abda527190939b8ef963de791839e98e4a98d4a4e218c13445","observation_id":"b1326fbf-afda-4a6a-8be9-de40ef0f0d42","resolution":{"observed_at":"2026-05-19T19:23:13.019305Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2605.19589","last_updated":"2026-05-19T09:31:15Z","snapshot_observed_at":"2026-08-03T05:21:43.861879Z","submitted_at":"2026-05-19T09:31:15Z","title":"Physics-Informed Graph Neural Network Surrogates for Turbulent Nanoparticle Dispersion in Dental Clinical Environments","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-05-20T06:41:00.221910Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2605.19589"},"observation_digest":"sha256:6e2d7081e0b3b8e9c7b9579014df6edc29702bf225da14fab353f4011b5a8a13","observation_id":"d6e2ad8f-30ee-4d53-a177-63cbb8a807e1","resolution":{"observed_at":"2026-05-20T06:43:05.794473Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2605.20107","last_updated":"2026-05-19T16:57:47Z","snapshot_observed_at":"2026-07-06T23:30:44.092395Z","submitted_at":"2026-05-19T16:57:47Z","title":"Beyond Isotropy in JEPAs: Hamiltonian Geometry and Symplectic Prediction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-20T06:47:47.122794Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2605.20107"},"observation_digest":"sha256:fe4aae0a6eddfc23997e7049057c306bebcdce5bb8d0fd1351f252fbd38613d7","observation_id":"7c15adfb-4d97-4792-b05d-9fe978e67c8c","resolution":{"observed_at":"2026-05-20T06:48:05.673592Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2605.24868","last_updated":"2026-05-24T04:59:04Z","snapshot_observed_at":"2026-08-04T12:15:34.114005Z","submitted_at":"2026-05-24T04:59:04Z","title":"A comparative study of accuracy and rollout stability of temporal surrogate models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-30T12:32:37.597841Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2605.24868"},"observation_digest":"sha256:4a0d40c8f6be04d051b51e52461f414f2c0e022d00ef4030eb67a438e18b5af3","observation_id":"ea70a15e-59d1-444e-a20f-ff1b36697135","resolution":{"observed_at":"2026-06-30T12:34:38.557173Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2605.25313","last_updated":"2026-05-25T00:28:51Z","snapshot_observed_at":"2026-08-02T10:40:58.936432Z","submitted_at":"2026-05-25T00:28:51Z","title":"UWM-JEPA: Predictive World Models That Imagine in Belief Space","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-29T22:51:37.099062Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2605.25313"},"observation_digest":"sha256:584538f94e9fc1d385ccf2010df630d4d52b2ecd2fdd3152696b324114322ee1","observation_id":"030f5012-426d-4e51-bf24-0fa3c4e7d0df","resolution":{"observed_at":"2026-06-29T22:54:00.895252Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2605.28452","last_updated":"2026-05-27T13:18:52Z","snapshot_observed_at":"2026-08-01T15:18:41.594180Z","submitted_at":"2026-05-27T13:18:52Z","title":"Physics-constrained identification of graph-based thermal networks for spacecraft digital twins","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-29T10:43:26.542385Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2605.28452"},"observation_digest":"sha256:52d43bb1c1ca7f4aedd0d516d2c15da9b07d5cb52347543f9ed1972b4a88b86f","observation_id":"d92f23bd-b3db-4a8b-bd36-8b1f2c2b8731","resolution":{"observed_at":"2026-06-29T10:53:18.977221Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2605.30542","last_updated":"2026-05-28T20:18:22Z","snapshot_observed_at":"2026-07-06T23:39:48.531480Z","submitted_at":"2026-05-28T20:18:22Z","title":"Physically Viable World Models: A Case for Query-Conditioned Embodied AI","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-29T06:55:57.801162Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2605.30542"},"observation_digest":"sha256:668d119f09f4f0db4ea634977f73571c842ec6254a35a8ac65bb4262ac2e7992","observation_id":"5bb81474-afcd-46e2-be38-eb0001b23966","resolution":{"observed_at":"2026-06-29T09:13:16.522837Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2606.00089","last_updated":"2026-05-23T16:28:59Z","snapshot_observed_at":"2026-08-02T10:41:58.052096Z","submitted_at":"2026-05-23T16:28:59Z","title":"Can Predicted Dynamics Exist in the Physical World?","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-30T13:02:21.832944Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2606.00089"},"observation_digest":"sha256:3b1efba9b7816e94c1b25a7aece5e0e182b8adfdc378117d9c7b5185e8cbf7cb","observation_id":"91b4cb84-b06c-4623-9d0a-f4d63a3f091c","resolution":{"observed_at":"2026-06-30T13:04:39.976144Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2606.06556","last_updated":"2026-06-04T10:43:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-06-04T10:43:14Z","title":"Robots Need More than VLA and World Models","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-06-28T01:01:33.530167Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2606.06556"},"observation_digest":"sha256:98ef554c6d6eabda35d982fa1148a6a201f54d27a57547df6bad8470f9b06fe9","observation_id":"e4165f82-6a8a-4edf-a28a-00560e488e55","resolution":{"observed_at":"2026-07-02T13:46:59.264577Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2606.09929","last_updated":"2026-06-07T14:46:09Z","snapshot_observed_at":"2026-08-04T10:57:42.709422Z","submitted_at":"2026-06-07T14:46:09Z","title":"Between Amnesia and Chaos: A Memory Stability Expressivity Trilemma for Trainable Dissipative Oscillator Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-27T18:42:09.596948Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2606.09929"},"observation_digest":"sha256:bda273fd4e5bfb8124d7286e044337b7438ee600935fbb6c2e51867611c09a53","observation_id":"060937fa-31bf-4da8-851b-427f8472671c","resolution":{"observed_at":"2026-07-02T22:37:26.585924Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2606.11251","last_updated":"2026-06-08T15:23:16Z","snapshot_observed_at":"2026-08-02T16:27:09.895011Z","submitted_at":"2026-06-08T15:23:16Z","title":"Mechanical Field Networks: Structured Neural Dynamics for Multivariate Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-27T17:17:22.959696Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2606.11251"},"observation_digest":"sha256:1aa9e8340d27501d49f1c9e2124b245f0a28040b92492cc573f508d63c54b7e7","observation_id":"9c40048b-e036-4689-a901-f8b84e73a4d7","resolution":{"observed_at":"2026-06-27T17:21:06.763983Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2606.15015","last_updated":"2026-06-18T06:53:24Z","snapshot_observed_at":"2026-07-06T23:52:28.557859Z","submitted_at":"2026-06-12T23:24:41Z","title":"NEXUS: Neural Energy Fields for Physically Consistent Contact-Rich 3D Object Dynamics","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-27T04:25:27.067362Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2606.15015"},"observation_digest":"sha256:e8851605c912ce6cb8ba0bb91e4671ab7ea3a8f9e998d421844d05b0cef56a61","observation_id":"24038dd7-337b-4235-a7fe-4df5ffab53b0","resolution":{"observed_at":"2026-07-03T17:18:43.329512Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2606.18386","last_updated":"2026-06-16T18:31:27Z","snapshot_observed_at":"2026-07-06T23:53:49.904730Z","submitted_at":"2026-06-16T18:31:27Z","title":"Reconstructing Galactic Gravitational Potentials from Stellar Kinematics with Physics-Informed Neural Networks","version":1},"reference_index":144,"source":"arxiv_source","source_observed_at":"2026-06-26T23:33:16.496226Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2606.18386"},"observation_digest":"sha256:b405db7d392ac2818168cd301db09baa5bc16d723b96a6ea6146cc5112b92fa7","observation_id":"d178a94b-a92c-4780-8928-780312c8be95","resolution":{"observed_at":"2026-07-03T22:29:00.688911Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2606.18937","last_updated":"2026-06-17T11:20:31Z","snapshot_observed_at":"2026-08-05T06:38:51.988629Z","submitted_at":"2026-06-17T11:20:31Z","title":"Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by Generalized Kernel Interpolation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-26T20:15:10.881335Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2606.18937"},"observation_digest":"sha256:aa22678512aa7e82215179d6152737aa0f4496163c71534d33e402bcc605055a","observation_id":"cfc1ccd2-a09a-4a9d-a9f6-3fd405cbc01c","resolution":{"observed_at":"2026-06-26T20:19:56.042031Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2606.24945","last_updated":"2026-07-02T05:34:04Z","snapshot_observed_at":"2026-08-08T03:22:33.798807Z","submitted_at":"2026-06-23T06:44:02Z","title":"When Do Conservation Laws Survive Learned Representations? Certified Horizons for Latent World Models","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-06-26T00:33:13.274947Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2606.24945"},"observation_digest":"sha256:a71c399f18af7a1de9e2d21e3ca49785cd36306ac6065325802f405308dfee42","observation_id":"5b0de3fc-5694-4cbf-b409-59736a76daee","resolution":{"observed_at":"2026-07-04T16:29:57.586007Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2606.24945","last_updated":"2026-07-02T05:34:04Z","snapshot_observed_at":"2026-08-08T03:22:33.798807Z","submitted_at":"2026-06-23T06:44:02Z","title":"When Do Conservation Laws Survive Learned Representations? Certified Horizons for Latent World Models","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-07-03T22:58:53.297590Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2606.24945"},"observation_digest":"sha256:c6d3bc99ad6272a6c402ae441a4f1a4c869a2c7dc21c617d3d4f02c99a77bd8b","observation_id":"53bba261-2468-4b20-afbd-8800590be184","resolution":{"observed_at":"2026-07-03T22:59:01.428549Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2606.30117","last_updated":"2026-06-29T10:49:36Z","snapshot_observed_at":"2026-08-03T20:10:09.556639Z","submitted_at":"2026-06-29T10:49:36Z","title":"Gravitational Duals from Equations of State II: Large Hierarchies and False Vacua","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-30T05:03:08.822807Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2606.30117"},"observation_digest":"sha256:14489d347ddc2cff3fede1b7ebb1cc33fb604aac536baa834f51dc4375864d1c","observation_id":"0bdf828c-64a4-4fd9-931a-cf1c8c5e2825","resolution":{"observed_at":"2026-06-30T05:04:19.972396Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":"1906.01563","doi":"10.48550/arxiv.1906.01563","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hamiltonian neural networks","venue":"arXiv (Cornell University)","work_id":"0c656752-5651-4f45-8527-fab0e0d1b66e","year":1906},"citing_paper":{"arxiv_id":"2606.30318","last_updated":"2026-06-29T14:00:17Z","snapshot_observed_at":"2026-07-07T00:04:10.492340Z","submitted_at":"2026-06-29T14:00:17Z","title":"Chronos: A Physics-Informed Full-History Framework for Non-Markovian Long-Horizon Manipulation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-06-30T05:12:47.183078Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2606.30318"},"observation_digest":"sha256:0342a7f3e63516bdb182874fdc4f1f432815158a0eecfa381783148eea0dc158","observation_id":"328a17f6-b5b5-4537-9ac9-98f9720e3ff4","resolution":{"observed_at":"2026-06-30T15:04:46.761461Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:50.533808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-07-14T11:44:50.475874Z","title":"Greydanus, M","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.10439","last_updated":"2026-07-17T05:07:27Z","snapshot_observed_at":"2026-08-02T07:19:35.041191Z","submitted_at":"2026-07-11T18:44:54Z","title":"Learning the Brain's Dynamics as a Port-Hamiltonian System: A GNN-Surrogate Metriplectic Twin for Non-Equilibrium Cortical Dynamics and Closed-Loop Neuromodulation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-14T11:44:50.475874Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2607.10439"},"observation_digest":"sha256:7146b553a3d38e640bcbdd042951fededfad0c07b76c2bcf2b585631e9d53912","observation_id":"d9304c71-15a0-4bfd-bd42-02f89a2e425f","resolution":{"observed_at":"2026-07-14T11:44:50.475874Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-02T06:43:04.445320Z","title":"Greydanus, M","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.12269","last_updated":"2026-07-20T21:30:57Z","snapshot_observed_at":"2026-08-06T15:27:52.134375Z","submitted_at":"2026-07-14T02:16:20Z","title":"Quantum Port-Hamiltonian Neural Networks: Learning Conservative and Dissipative Dynamics via Measurement-Induced Nonlinearity","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T06:43:04.445320Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2607.12269"},"observation_digest":"sha256:6cdd869a452e8ec143af5be70547c63850bf2a422b47eefc7ca4d807ea56cb4c","observation_id":"0d5efed6-b71a-49e9-a6cc-f7aaca4368ed","resolution":{"observed_at":"2026-08-02T06:43:04.445320Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-03T16:16:47.900881Z","title":"Greydanus, M","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.28977","last_updated":"2026-07-31T03:00:57Z","snapshot_observed_at":"2026-08-07T13:07:58.973429Z","submitted_at":"2026-07-31T03:00:57Z","title":"Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T16:16:47.900881Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2607.28977"},"observation_digest":"sha256:308cbdc2422ce1a63535562e3258169c87a8004d4965d6382e8c1ec097af5223","observation_id":"a9db7a47-42f0-44f5-8cf8-6d2b75c468f1","resolution":{"observed_at":"2026-08-03T16:16:47.900881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.01563","snapshot_observed_at":"2026-08-04T04:31:48.731648Z","title":"Hamiltonian Neural Networks.arXiv e-prints, page arXiv:1906.01563, June 2019","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2608.02573","last_updated":"2026-08-03T17:49:40Z","snapshot_observed_at":"2026-08-06T23:39:11.550280Z","submitted_at":"2026-08-03T17:49:40Z","title":"Foundation Models for Astrophysics","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T04:31:48.731648Z"},"links":{"cited_paper":"/paper/1906.01563","citing_paper":"/paper/2608.02573"},"observation_digest":"sha256:fe015b597038de9ad22c74593e5d81e3570fee5f3dd41d68fcc052c41b33c09a","observation_id":"394c04b6-06bd-4075-9dd4-a17d91bec131","resolution":{"observed_at":"2026-08-04T04:31:48.731648Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1906.01563/citation-record","integrity":"/paper/1906.01563/integrity","json":"/paper/1906.01563/citation-record.json","paper":"/paper/1906.01563"},"outbound":[],"paper":{"arxiv_id":"1906.01563","last_updated":"2019-09-05T04:20:28Z","latest_version":3,"primary_category":"cs.NE","snapshot_observed_at":"2026-08-02T00:19:27.415872Z","submitted_at":"2019-06-04T16:27:55Z","title":"Hamiltonian Neural Networks"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:1906.01563."}