{"as_of":"2026-08-12T15:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:de44aeb324d7c92c1071636f2b243337c7845c3430a58e0b327b8a069db66c8e","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T13:41:29.678783Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T11:15:51.293779Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-10T11:15:10.658470Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.16052","snapshot_observed_at":"2026-08-11T11:15:51.293779Z","title":"Hashimoto, K","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.15697","last_updated":"2024-12-20T09:17:59Z","snapshot_observed_at":"2026-08-11T11:08:13.347527Z","submitted_at":"2024-12-20T09:17:59Z","title":"Heat and work in black hole thermodynamics via holography","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-11T11:15:51.293779Z"},"links":{"cited_paper":"/paper/2411.16052","citing_paper":"/paper/2412.15697"},"observation_digest":"sha256:6f3bd2d799a785565091da7fb4986685ae7cac1a085c782381672daa776e41a5","observation_id":"54896d8b-3a91-4aab-86b4-78447192dbd6","resolution":{"observed_at":"2026-08-11T11:15:51.293779Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"cited_work":{"arxiv_id":"2411.16052","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.16052","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Hashimoto, K","venue":null,"work_id":"9e6a640d-1005-42f8-8eb1-304dcd2e14f6","year":2025},"citing_paper":{"arxiv_id":"2604.14638","last_updated":"2026-04-20T14:10:21Z","snapshot_observed_at":"2026-08-03T16:24:13.302294Z","submitted_at":"2026-04-16T05:28:10Z","title":"Probing bulk geometry via pole skipping: from static to rotating spacetimes","version":2},"reference_index":109,"source":"pdf_text","source_observed_at":"2026-05-10T11:12:50.614044Z"},"links":{"cited_paper":"/paper/2411.16052","citing_paper":"/paper/2604.14638"},"observation_digest":"sha256:8c8350e0293dc4be76b682070a4bfeba8fb126bcc12f0707b96b3ce9f8a994b4","observation_id":"9299d2c5-c8cf-42bf-a16c-69113a97cbef","resolution":{"observed_at":"2026-05-10T11:15:10.660844Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.16052/citation-record","integrity":"/paper/2411.16052/integrity","json":"/paper/2411.16052/citation-record.json","paper":"/paper/2411.16052"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:41:29.974240Z","title":"Spacetime-emergent ring toward tabletop quantum gravity experiments","venue":null,"work_id":"940e9e80-8f81-479d-b3d5-edb22d1d373b","year":2023},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.582118Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:55cac9d0226dfbe670e2bcd8a0d36f6760d56fe54be757794a2c9103582a790c","observation_id":"f4265787-befa-48f9-944a-db1ae4e7110b","resolution":{"observed_at":"2026-08-12T13:41:29.977079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.966120Z","title":"The large-n limit of superconformal ﬁeld theorie s and supergravity","venue":null,"work_id":"6bb11fe4-ecee-4a17-aa24-9eac72c725e7","year":1999},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.585496Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:4444d07f8031677595b5c5bbaa7eed90d9aeb9719eb933833a6bef9b3f889477","observation_id":"da253edd-5d5d-4e07-91b3-38e9991eeb05","resolution":{"observed_at":"2026-08-12T13:41:29.969130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.958244Z","title":"Inverse problem of correlation fu nctions in holography","venue":null,"work_id":"8e8d6cfb-0245-4d6e-97f9-93329c0281fc","year":2024},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.588335Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:a3351c885164082fe0ca49c4ba0baf4c15528b1d999f07bed8f06f15f6acd827","observation_id":"ff60a461-e07b-477f-8641-7d96d154df66","resolution":{"observed_at":"2026-08-12T13:41:29.961040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.950922Z","title":"Deep learning and the ads/cft correspondence","venue":null,"work_id":"00aaa0b5-39e2-4081-bf16-69ce9f9b8270","year":2018},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.591373Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:43af5d2978ff503ea8e9aac2fc7d0b9ba8ddf3e5cd65560a4ae226976ed2a6f4","observation_id":"2317febe-10aa-413e-a95c-95ee0c2e6fa8","resolution":{"observed_at":"2026-08-12T13:41:29.953030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.944234Z","title":"Machine learning spa tial geometry from entanglement features","venue":null,"work_id":"5821ccb7-ec5a-4047-a0ae-4abea5b0b943","year":2018},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.594432Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:1ab235ae2eaaff23145b68b1a342e80359c09c09e72df76513f39888b6e92c4a","observation_id":"5d41353d-bc39-4761-98bc-3a26022a5083","resolution":{"observed_at":"2026-08-12T13:41:29.946671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.937091Z","title":"Deep learning and holographic qcd","venue":null,"work_id":"9df5566d-7a65-4b11-a67f-a69ee2cfede8","year":2018},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.597346Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:de5c09d82f214afd229fef6a33a810b160c1ee8f4a9f4362b3b243cbad7703dd","observation_id":"9515c6f3-73a1-4fb2-8ae1-52cf0a996935","resolution":{"observed_at":"2026-08-12T13:41:29.939414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.929120Z","title":"Ads/cft correspondence as a deep boltzmann machine","venue":null,"work_id":"a695eb12-fd27-4dcc-add5-fa0c88be979d","year":2019},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.600357Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:ee21eccb8f73f615377c8a9325dce5c1409d7640355ac5c039432464b9cd44ba","observation_id":"235c6d4c-906e-4265-968f-a181bfb3bdb0","resolution":{"observed_at":"2026-08-12T13:41:29.932039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.921007Z","title":"Entanglement transitions from holographic random tensor networks","venue":null,"work_id":"273c0cbc-9bba-456c-8997-2328f2f61465","year":2019},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.603861Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:0d3cbdbb4aadf66b1dc947444324d3cd488175b66b09ba01a358fe42641a8cb1","observation_id":"2ae4d506-e460-4438-a796-a2549a5eaa33","resolution":{"observed_at":"2026-08-12T13:41:29.924085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.913327Z","title":"Deep learning the holographic black h ole with charge","venue":null,"work_id":"9552505b-e131-4a9a-8f60-4461c5e8540f","year":2019},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.606663Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:25c00262c7da213479245d62e27e81f2405094d773b2a0f3a8bbebbeb0dd8611","observation_id":"10321a02-d3c3-43ae-ac47-ff44cfaf0701","resolution":{"observed_at":"2026-08-12T13:41:29.916201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.905577Z","title":"Deep learning and ads/qcd","venue":null,"work_id":"814a1983-5f1c-460a-a137-f40e9709a95e","year":2020},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.608787Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:c40b15b8fd016192df29b6a853da6b104cdd2d4780e98a1db86e13feccd2685b","observation_id":"8d2bac49-63b8-438c-8654-5d691f2fd999","resolution":{"observed_at":"2026-08-12T13:41:29.908355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.897222Z","title":"Machin e learning holographic mapping by neural network renormalization group","venue":null,"work_id":"42a9ecd9-bbb2-48e1-8bff-01bea9ee512e","year":2020},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.610857Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:2441c8541689f089fb42b270adea1cae2246df34de854b963efad81c798f7d25","observation_id":"b015e456-a6b5-44af-bcf6-bbdd07ab862b","resolution":{"observed_at":"2026-08-12T13:41:29.900182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.889331Z","title":"Deep lear ning black hole metrics from shear viscosity","venue":null,"work_id":"545eaafc-7f8b-4109-bcce-1c725bedd38f","year":2020},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.613008Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:daa2ecbe9f6bfb62371103063d1e9c1f6397511fadd4118146e163b4d34d60d8","observation_id":"cee7689e-82fd-4e1c-8169-86cf504a8962","resolution":{"observed_at":"2026-08-12T13:41:29.892223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.881343Z","title":"Neural ordin ary diﬀerential equation and holographic quantum chromodynamics","venue":null,"work_id":"e1b729dd-2c17-4d31-8fd4-9ddb5c63f2ad","year":2021},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.615017Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:a232c16b5ea33908ed4f0de652c16a3f679abd6331dbb5813742e2215c98d7b8","observation_id":"1cbc8ea8-2ee4-4274-95a2-5709ccb0c655","resolution":{"observed_at":"2026-08-12T13:41:29.884351Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.873254Z","title":"Machine learning statistical g ravity from multi-region entanglement entropy","venue":null,"work_id":"8a3e12f5-d52e-4b93-ad89-ddd45801cc56","year":2021},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.617028Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:cd456146f79637e16da24f8ddfb80f95f47ec4a13b6861cd18b70876c553ae2f","observation_id":"c2a0ee69-6b2a-49df-a64f-3b78c41dc2c2","resolution":{"observed_at":"2026-08-12T13:41:29.876298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.865243Z","title":"Ads/deep-learning made easy: simple examples","venue":null,"work_id":"552c9d9c-142d-4a4b-802c-25a0a5f288f0","year":2021},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.619686Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:72ba730fbddaa5a3a2cc2de961d1dd0bb79d9b94f9dc3eff42bc3ac387bcc0e0","observation_id":"22f0a6b2-f1e4-472b-91be-48ac0043ee63","resolution":{"observed_at":"2026-08-12T13:41:29.868156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.856627Z","title":"Ph ysics-informed deep learning for three dimensional black holes","venue":null,"work_id":"8fd18bd6-a533-405d-b2f9-a7f4aa8b9b36","year":2023},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.622357Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:1e9df701282e4028f40b991f07a17a49b10ea6910a2fd6103ef4a36ff78f366b","observation_id":"453a063a-64cc-41c6-85de-7577f8cce799","resolution":{"observed_at":"2026-08-12T13:41:29.859505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.849877Z","title":"Learning the black hole metric from holographic conductivity","venue":null,"work_id":"7279cf0b-077e-42c6-9075-5674e69f8aed","year":2023},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.624965Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:d898fa42631f49d8883eec9e4fb0f7b720e0548be2f8ef74188a09c966ab1deb","observation_id":"066c46c0-29d5-4f5f-a2c5-db43cbf7cfb9","resolution":{"observed_at":"2026-08-12T13:41:29.852180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.843027Z","title":"Deep learning bulk spacetime from boundary optical conductivity","venue":null,"work_id":"657ec914-a57c-40cf-a5e9-470350fd05c0","year":2024},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.627698Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:016aaf38559c0d3e1651220e0ce0383eb6a01271bf72297839b49ea26a08239c","observation_id":"574ece73-5a67-4066-a945-6192c3757750","resolution":{"observed_at":"2026-08-12T13:41:29.845358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06285","last_updated":"2025-03-12T17:18:37Z","snapshot_observed_at":"2026-08-10T12:23:49.235175Z","submitted_at":"2024-06-10T14:09:21Z","title":"Holographic complex potential of a quarkonium from deep learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.06285","snapshot_observed_at":"2026-08-12T13:41:29.630533Z","title":"Holog raphic complex potential of a quarkonium from deep learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.630533Z"},"links":{"cited_paper":"/paper/2406.06285","citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:81050d56f21a13d982e173c2d297d8ae570966f997a7da23fc8d6617f78feed7","observation_id":"4caf330e-fc15-4798-8b6c-3dfa5b32d1e1","resolution":{"observed_at":"2026-08-12T13:41:29.630533Z","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":"2026-08-12T13:41:29.835013Z","title":"Machine learning holographic black hole f rom lattice qcd equation of state","venue":null,"work_id":"cd3e520b-da71-423f-9327-9efc3d765d27","year":2024},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.633993Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:21cca56bb9bfa3b00b1e04c424751c99689979ed0d6e858a04651af868bbeb3e","observation_id":"65ff35cc-4cbe-473d-be6e-c8b3c1968a4b","resolution":{"observed_at":"2026-08-12T13:41:29.838189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03784","last_updated":"2024-12-03T09:29:36Z","snapshot_observed_at":"2026-08-10T13:03:19.799079Z","submitted_at":"2024-08-07T14:09:25Z","title":"Neural Network Modeling of Heavy-Quark Potential from Holography","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03784","snapshot_observed_at":"2026-08-12T13:41:29.636652Z","title":"Neural network modeling of heavy-quark potential from holography","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.636652Z"},"links":{"cited_paper":"/paper/2408.03784","citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:7e89c4010236431e29ef393f760bf18becd14b620c21914a59c67f4443d042fb","observation_id":"b7cd49a1-790c-4beb-a215-d388ee4d0e20","resolution":{"observed_at":"2026-08-12T13:41:29.636652Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06179","last_updated":"2025-01-23T04:02:37Z","snapshot_observed_at":"2026-07-06T18:12:22.193554Z","submitted_at":"2024-05-10T01:45:33Z","title":"Flavor dependent Critical endpoint from holographic QCD through machine learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06179","snapshot_observed_at":"2026-08-12T13:41:29.640346Z","title":"Flavor dependent critical endpoint fr om holographic qcd through machine learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.640346Z"},"links":{"cited_paper":"/paper/2405.06179","citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:b2229ad75833a6b0c10ee949fa2b18ba85be53574e2dae8f67a9077547e9e8b9","observation_id":"42598c68-e2dd-41ed-b140-01a00dba0bdf","resolution":{"observed_at":"2026-08-12T13:41:29.640346Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07395","last_updated":"2024-09-08T14:59:45Z","snapshot_observed_at":"2026-08-04T05:06:04.605319Z","submitted_at":"2024-06-11T16:03:17Z","title":"Holographic reconstruction of black hole spacetime: machine learning and entanglement entropy","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07395","snapshot_observed_at":"2026-08-12T13:41:29.643454Z","title":"Holographic reconstruction of black hole spacetime: machine learning and entanglement entropy","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.643454Z"},"links":{"cited_paper":"/paper/2406.07395","citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:41e0d1347e1bd454f270163cc3528148b328ea2ab36629618858d531d4604c85","observation_id":"03cf449e-78d4-40eb-9a52-227b9efad79d","resolution":{"observed_at":"2026-08-12T13:41:29.643454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09946","last_updated":"2024-08-15T08:41:35Z","snapshot_observed_at":"2026-08-05T03:27:36.974959Z","submitted_at":"2024-01-18T12:50:16Z","title":"Neural ODEs for holographic transport models without translation symmetry","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09946","snapshot_observed_at":"2026-08-12T13:41:29.646410Z","title":"Neural odes fo r holographic transport models without translation symmetry","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.646410Z"},"links":{"cited_paper":"/paper/2401.09946","citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:967e41bbfeaaf100d0e55aeb129a283806554fb92e77d39f48dadf65d36ef313","observation_id":"c9a59698-89e6-42ec-9bb5-a21173561726","resolution":{"observed_at":"2026-08-12T13:41:29.646410Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.14763","last_updated":"2024-03-21T18:07:32Z","snapshot_observed_at":"2026-07-06T17:48:41.389936Z","submitted_at":"2024-03-21T18:07:32Z","title":"Gravitational Duals from Equations of State","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.14763","snapshot_observed_at":"2026-08-12T13:41:29.649219Z","title":"Gravitational duals from equations of state","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.649219Z"},"links":{"cited_paper":"/paper/2403.14763","citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:9dd71184a8cb1104d117fada6cf3db13fb989a99385fe75e7dfeb10b1b8a6cbd","observation_id":"25d6441f-2d18-44ea-8339-c1cc90a24391","resolution":{"observed_at":"2026-08-12T13:41:29.649219Z","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":"2026-08-12T13:41:29.826252Z","title":"Anti-de Sitter space, thermal phase transitio n, and conﬁnement in gauge theories","venue":null,"work_id":"adb793b5-7db1-44b4-8569-8e7272b879fb","year":1998},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.652359Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:3cd5533b518f2621fe0b1d67ab1dee86b1f07f0ad71a5197acf776060380cb60","observation_id":"bbc03b6e-f486-4e3d-903a-97ad1b9bafd1","resolution":{"observed_at":"2026-08-12T13:41:29.829292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.817473Z","title":"Neural ordinary diﬀerential equations","venue":null,"work_id":"a5c5cdae-57f3-4414-87f1-c38e587ac102","year":2018},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.655085Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:f6656ca7fd4cf926ac69e843ca269813ae03eed186f27f1a89ba1e8e3a6383cf","observation_id":"e768fd8b-40cd-47a2-9a38-fa39d1419379","resolution":{"observed_at":"2026-08-12T13:41:29.820699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.19756","last_updated":"2025-02-09T21:09:09Z","snapshot_observed_at":"2026-07-06T18:07:47.744531Z","submitted_at":"2024-04-30T17:58:29Z","title":"KAN: Kolmogorov-Arnold Networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.19756","snapshot_observed_at":"2026-08-12T13:41:29.657582Z","title":"Kan: Kolmogorov-arnold network s","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.657582Z"},"links":{"cited_paper":"/paper/2404.19756","citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:2d2e4db6923669839d54412d1617d798d8bc69b8009a6b366d3b17bc334c329e","observation_id":"6b5aa469-a45e-46aa-b229-d84510eed68d","resolution":{"observed_at":"2026-08-12T13:41:29.657582Z","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":"2026-08-12T13:41:29.808949Z","title":"Attention is all you need.Advances in neural information processing systems, 30, 2017","venue":null,"work_id":"38182cc6-7676-4f99-b0b9-09dc52e51789","year":2017},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.660749Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:59bbb66835e33820b96dedb1ca1dbb60f11cf8847b55e04456d5c13aca975c24","observation_id":"abb2817d-0142-43c8-8976-07b26e5fa80e","resolution":{"observed_at":"2026-08-12T13:41:29.812057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.800385Z","title":"End-to- end symbolic regression with transformers","venue":null,"work_id":"aed5ca5e-2cc9-452f-a987-10d26328cce1","year":2022},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.663651Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:300a273581d0879d558d09ded7e107c89357339f327171d5a08d44868dfee5a9","observation_id":"60477596-29c5-4d10-b791-f4912c61bbed","resolution":{"observed_at":"2026-08-12T13:41:29.803437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.01898","last_updated":"2022-11-08T12:55:43Z","snapshot_observed_at":"2026-08-10T17:48:27.325262Z","submitted_at":"2021-12-03T13:21:57Z","title":"Linear algebra with transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.01898","snapshot_observed_at":"2026-08-12T13:41:29.666397Z","title":"Linear algebra with transformers","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.666397Z"},"links":{"cited_paper":"/paper/2112.01898","citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:8cdddb928227863f92f93efb17e34d44c7c9b07d04573cb4c94d632e125ace07","observation_id":"94e80303-e667-4eb1-930e-f87ea26c8ee1","resolution":{"observed_at":"2026-08-12T13:41:29.666397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.01412","last_updated":"2019-12-02T15:05:24Z","snapshot_observed_at":"2026-08-07T08:07:25.563461Z","submitted_at":"2019-12-02T15:05:24Z","title":"Deep Learning for Symbolic Mathematics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.01412","snapshot_observed_at":"2026-08-12T13:41:29.669210Z","title":"Deep learning for symbolic mathematics","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.669210Z"},"links":{"cited_paper":"/paper/1912.01412","citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:13ee5382827d455c1e5aae607f1880577ca5934967304579ab763c6393a82585","observation_id":"f594680e-7526-47b8-9f06-9b34fa6d5f41","resolution":{"observed_at":"2026-08-12T13:41:29.669210Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.01724","last_updated":"2025-07-02T13:22:05Z","snapshot_observed_at":"2026-08-08T08:54:39.944966Z","submitted_at":"2023-11-03T05:41:49Z","title":"Holography Transformer","version":4},"cited_work":{"arxiv_id":"2311.01724","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.01724","snapshot_observed_at":"2026-08-12T13:41:29.719726Z","title":"Holography Transformer","venue":"hep-th","work_id":"300dba24-43b2-41ee-bce6-9bfad1c0c498","year":2023},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.672149Z"},"links":{"cited_paper":"/paper/2311.01724","citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:26ec41d360651490c9cf111b42679c00d4e98a97417a909bbc5a6d04d7b8761e","observation_id":"d946458d-3de7-44ea-bbf7-82b3bb7cfd86","resolution":{"observed_at":"2026-08-12T13:41:29.722847Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06107","last_updated":"2024-09-19T09:31:38Z","snapshot_observed_at":"2026-07-06T18:12:22.193554Z","submitted_at":"2024-05-09T21:28:52Z","title":"Transforming the Bootstrap: Using Transformers to Compute Scattering Amplitudes in Planar N = 4 Super Yang-Mills Theory","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06107","snapshot_observed_at":"2026-08-12T13:41:29.674357Z","title":"Transforming the bootstrap: Using transform ers to compute scattering amplitudes in planar n= 4 super yang-mills theory","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.674357Z"},"links":{"cited_paper":"/paper/2405.06107","citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:a484f4f60a5b04dd705463332fda26b76eb41e9dc2bc080c2186c4fb9eb22925","observation_id":"47ec5b28-8d19-4540-835f-51b1c21bcdcc","resolution":{"observed_at":"2026-08-12T13:41:29.674357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02362","last_updated":"2024-02-04T06:11:54Z","snapshot_observed_at":"2026-08-10T20:09:15.744225Z","submitted_at":"2024-02-04T06:11:54Z","title":"Unification of Symmetries Inside Neural Networks: Transformer, Feedforward and Neural ODE","version":1},"cited_work":{"arxiv_id":"2402.02362","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.02362","snapshot_observed_at":"2026-08-12T13:41:29.698995Z","title":"Unification of Symmetries Inside Neural Networks: Transformer, Feedforward and Neural ODE","venue":"cs.LG","work_id":"fa392333-4b2c-491a-a9f1-f50101207f2c","year":2024},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.676505Z"},"links":{"cited_paper":"/paper/2402.02362","citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:4f2f8e3713a18a7e7b8c57679cf0ac049a493083d6b8935a14a0b42287ea0c95","observation_id":"2e47661d-56d2-4838-afbb-824241aced4a","resolution":{"observed_at":"2026-08-12T13:41:29.703762Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:41:29.791549Z","title":"Boundary Terms of the Einstein–Hilbert Action , pages 43–59","venue":null,"work_id":"9d26d9e0-3fa6-4d5a-ba6f-a9f4b1c24469","year":2017},"citing_paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T13:41:29.678783Z"},"links":{"citing_paper":"/paper/2411.16052"},"observation_digest":"sha256:8a8535277051577fe90736db4fa912a327cc6a52d76637e42b68e4a3b2ccb872","observation_id":"28c7f3bb-a6f4-4dcd-baf2-27175f8799fa","resolution":{"observed_at":"2026-08-12T13:41:29.794768Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.16052","last_updated":"2024-11-25T02:42:33Z","latest_version":1,"primary_category":"hep-th","snapshot_observed_at":"2026-08-12T13:34:14.938525Z","submitted_at":"2024-11-25T02:42:33Z","title":"Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":2,"verified_fuzzy":24},"total_outbound_references":36},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 2 inbound Pith citation observations for arXiv:2411.16052."}