{"as_of":"2026-08-22T11:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1a721cf68abd0db152fd5cef203d434d7d6fafca679f5eec3ae67258dbea3d7a","coverage":[{"denominator":58,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":58,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T18:44:11.114673Z","state":"measured"},{"denominator":62,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":62,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T00:46:05.899468Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T12:26:37.736106Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.19136","snapshot_observed_at":"2026-08-06T17:33:54.525630Z","title":"Bösch, G","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.10463","last_updated":"2025-07-14T16:40:37Z","snapshot_observed_at":"2026-08-17T15:54:35.693977Z","submitted_at":"2025-07-14T16:40:37Z","title":"Solving the compute crisis with physics-based ASICs","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T17:33:54.525630Z"},"links":{"cited_paper":"/paper/2506.19136","citing_paper":"/paper/2507.10463"},"observation_digest":"sha256:7b61021df0c0651b339f575c8468c4c86a965368fd278d59276b91076cf49be8","observation_id":"20d7e591-64f2-402c-988a-1ef25d441c31","resolution":{"observed_at":"2026-08-06T17:33:54.525630Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"cited_work":{"arxiv_id":"2506.19136","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.19136","snapshot_observed_at":"2026-08-05T12:26:37.736106Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","venue":"cs.LG","work_id":"1ce8eb3d-1a7b-4205-a137-638d7e81c4ec","year":2025},"citing_paper":{"arxiv_id":"2509.01625","last_updated":"2025-09-01T17:11:11Z","snapshot_observed_at":"2026-08-20T06:26:01.065891Z","submitted_at":"2025-09-01T17:11:11Z","title":"Embodying computation in nonlinear perturbative metamaterials","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T12:26:37.485050Z"},"links":{"cited_paper":"/paper/2506.19136","citing_paper":"/paper/2509.01625"},"observation_digest":"sha256:f9f9d9488c2017e25407692a707d2b5e6a91c99221dd1ff38f087bfeace62ec3","observation_id":"d6c8a088-3920-4a37-9f11-dd89098fb6a3","resolution":{"observed_at":"2026-08-05T12:26:37.739482Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.19136","snapshot_observed_at":"2026-08-01T21:12:18.464627Z","title":"B¨ osch, G","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16183","last_updated":"2026-08-14T23:59:42Z","snapshot_observed_at":"2026-08-20T23:09:42.124465Z","submitted_at":"2026-07-17T17:57:49Z","title":"A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing","version":1},"reference_index":144,"source":"pdf_text","source_observed_at":"2026-08-01T21:12:18.464627Z"},"links":{"cited_paper":"/paper/2506.19136","citing_paper":"/paper/2607.16183"},"observation_digest":"sha256:d0c01931509bf8bc95c0a216312d5d409b8654fb752c5651da05c03f2b48a85c","observation_id":"55029184-901b-4197-8206-42c0d4ec0ab4","resolution":{"observed_at":"2026-08-01T21:12:18.464627Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.19136","snapshot_observed_at":"2026-08-16T00:46:05.899468Z","title":"Local learning rules for out-of-equilibrium physical generative models.arXiv preprint arXiv:2506.19136, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11585","last_updated":"2026-08-12T02:53:39Z","snapshot_observed_at":"2026-08-22T07:50:02.305315Z","submitted_at":"2026-08-12T02:53:39Z","title":"Unifying Physical Backpropagation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-16T00:46:05.899468Z"},"links":{"cited_paper":"/paper/2506.19136","citing_paper":"/paper/2608.11585"},"observation_digest":"sha256:d6e1abbe536fc54634a4d4fe978a5a6f38588c90842702e89effe85a1516cab1","observation_id":"bde93477-ce26-4af7-85a3-b7bcfff8c27f","resolution":{"observed_at":"2026-08-16T00:46:05.899468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.19136/citation-record","integrity":"/paper/2506.19136/integrity","json":"/paper/2506.19136/citation-record.json","paper":"/paper/2506.19136"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:44:12.092740Z","title":"Jaeger, B","venue":null,"work_id":"5aeaa171-8a2e-4879-be58-5b4838f211ed","year":2023},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.853110Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:35c41284edf63bc21f694fa62004535cb4b3d2dc3b0bc5d7e85c1505dc360e2d","observation_id":"026206c6-febb-44b3-b38d-e09d80e0c63b","resolution":{"observed_at":"2026-08-15T18:44:12.097297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:44:10.858379Z","title":"Yanagimoto, B","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.858379Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:fba7fa7d7fe1d72894df52b256bf37d0d9688e81c2a70e5f098e13c3841f2b22","observation_id":"c43c3b60-471d-4924-adf8-d7d2c13040af","resolution":{"observed_at":"2026-08-15T18:44:10.858379Z","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":"2026-08-15T18:44:12.077298Z","title":"Finocchio, J","venue":null,"work_id":"d428da14-4e32-4adf-b92a-01cbddfb4692","year":2024},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.862890Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:af07c2ae177780961899f1288f2b0f71a792d95bf46d003667d986d1852989a3","observation_id":"010447e3-2190-445e-ba59-94e71f3b8433","resolution":{"observed_at":"2026-08-15T18:44:12.082704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:12.062786Z","title":"Melanson, M","venue":null,"work_id":"b8aa51a2-12b0-4571-ac6c-bcf104860c87","year":2025},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.867320Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:fb3ff2cbdb2d63c4f86d09a57d664cb11a2fab1a13cd9589f803087b58ebc219","observation_id":"bad7549c-6667-4eb3-a6f9-926a12c5fc0d","resolution":{"observed_at":"2026-08-15T18:44:12.067103Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:12.048207Z","title":"Aifer, K","venue":null,"work_id":"ea00a0a7-3412-4072-80e5-cfdcf5442a84","year":2024},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.871817Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:afde2dbebe62a1f6966664395705231b7512a28b21a9df8891afef40ed4af048","observation_id":"8fd6fd4b-5ebd-483d-9796-56c228f417f3","resolution":{"observed_at":"2026-08-15T18:44:12.053133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:12.034149Z","title":"Duffield, M","venue":null,"work_id":"e22f8eb2-dc74-4515-a14b-2ba241e82b2f","year":2025},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.876673Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:785342e2654bd7ea9c7be9992e8844444d06bb3a11a29fa8fcd2c316bf2f843b","observation_id":"27d58f38-021d-465e-819b-c678b26f7d3e","resolution":{"observed_at":"2026-08-15T18:44:12.038519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:12.019441Z","title":"Lipka-Bartosik, K","venue":null,"work_id":"8d30df6b-05d9-4f53-8106-d9117162cc5f","year":2024},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.881516Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:3ef9cadffb14074812db9d62fc7de4f31d38f06e8e626df7fecb50d670272ab6","observation_id":"81d18db9-7f55-4df6-a112-f4a681afb2fb","resolution":{"observed_at":"2026-08-15T18:44:12.024062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:12.004591Z","title":"Anderson, S.-Y","venue":null,"work_id":"33a9e50e-6fd5-4f05-a777-8f962fcb44c7","year":2023},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.886509Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:5f3a905b4850614c61402105555a7d6a8a0988b30b39da1ef1c3162e9efd4c1d","observation_id":"69319bb3-da68-4695-b788-0b0b0bcf2d9d","resolution":{"observed_at":"2026-08-15T18:44:12.009350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:44:10.891101Z","title":"Yildirim, N","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.891101Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:f3256644aefe882ffd34e4abae507076235e529268175a542ecc479e963214ee","observation_id":"4dbd60b7-22b3-4623-a3a2-55e2101ae388","resolution":{"observed_at":"2026-08-15T18:44:10.891101Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:44:10.895660Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.895660Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:b73af09dc17af63e24ae70a9f975048be7b06c5fc4f2445d6984e3af1acf7813","observation_id":"c7b142f7-3ccc-4d07-bea7-53b092b1adcc","resolution":{"observed_at":"2026-08-15T18:44:10.895660Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.20401","last_updated":"2025-08-01T15:35:41Z","snapshot_observed_at":"2026-08-19T23:41:30.647022Z","submitted_at":"2025-04-29T03:55:05Z","title":"Nonlinear Computation with Linear Optics via Source-Position Encoding","version":2},"cited_work":{"arxiv_id":"2504.20401","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.20401","snapshot_observed_at":"2026-08-15T18:44:11.386803Z","title":"Nonlinear Computation with Linear Optics via Source-Position Encoding","venue":"physics.optics","work_id":"4372e892-6b8a-4a28-b891-659fe5459b0c","year":2025},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.899966Z"},"links":{"cited_paper":"/paper/2504.20401","citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:3f8dae715d9e7aad4e020a9c6e23d76d6f6a329da71706473e32b85b3ff31b4e","observation_id":"cf1a12a8-05ef-463a-87cd-a2994846bc1c","resolution":{"observed_at":"2026-08-15T18:44:11.392247Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:11.971828Z","title":null,"venue":null,"work_id":"f523cffa-301f-4fb6-be04-cb7ccc9e3a80","year":2025},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.904737Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:e70c91a0452ac4c358b1753f344d7681fb6c1fd05bc1d8ab05e2055ebb4a9901","observation_id":"3444725f-6b00-406f-9d7f-eabf6c920fec","resolution":{"observed_at":"2026-08-15T18:44:11.976054Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:11.958098Z","title":"Nakajima, H","venue":null,"work_id":"f30f8aaf-8e09-4792-9441-12781c170745","year":2015},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.909385Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:3cd207a7d54f25e1976e6b34a266e26a16888b3d81bcc893513482d75f77694f","observation_id":"c63af9f3-fa6b-430e-8e08-11b19d9c024b","resolution":{"observed_at":"2026-08-15T18:44:11.962485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:11.943723Z","title":null,"venue":null,"work_id":"f5d9108b-e917-4da5-9263-bfb8f6533fc6","year":2024},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.913977Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:822ccb076836a9a447bb39456903654acf7f469c8956567ade0c2a17f7f1bf25","observation_id":"72e3f657-9148-472f-bef5-74d3da99b089","resolution":{"observed_at":"2026-08-15T18:44:11.948398Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:11.929662Z","title":"Hebb, The organization of behavior (1949)","venue":null,"work_id":"e600c69b-b2ea-4693-ae69-65ddf9e5dd88","year":1949},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.918240Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:0ddef925f8c9dae8d2b571b96e1d03e118c03810e7f1f8cfd700aa3275ee5721","observation_id":"00007d62-90fe-4b02-9b96-e2c86b6ef35c","resolution":{"observed_at":"2026-08-15T18:44:11.934231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:44:10.924175Z","title":null,"venue":null,"work_id":null,"year":1982},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.924175Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:771c4a8520c6c445a87c23db0e0fe66801e0ed95d0dbdeae996fdab12290c665","observation_id":"b32507a8-065a-41c6-899d-91a9f9de0198","resolution":{"observed_at":"2026-08-15T18:44:10.924175Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1502.04156","last_updated":"2016-08-09T01:57:09Z","snapshot_observed_at":"2026-08-14T23:00:03.765614Z","submitted_at":"2015-02-14T01:11:25Z","title":"Towards Biologically Plausible Deep Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1502.04156","snapshot_observed_at":"2026-08-15T18:44:10.928667Z","title":"Bengio, D.-H","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.928667Z"},"links":{"cited_paper":"/paper/1502.04156","citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:33f1a5ab56c32af5611414f355670ef6a65c42815965018512f07ec0b9d128ad","observation_id":"636a3c43-6944-40b0-a4b7-73efeab0e29f","resolution":{"observed_at":"2026-08-15T18:44:10.928667Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03372","last_updated":"2024-06-05T15:28:04Z","snapshot_observed_at":"2026-08-16T13:45:50.570874Z","submitted_at":"2024-06-05T15:28:04Z","title":"Training of Physical Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03372","snapshot_observed_at":"2026-08-15T18:44:10.933745Z","title":"Momeni, B","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.933745Z"},"links":{"cited_paper":"/paper/2406.03372","citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:327ab242c8a0d8a0132484e981029cc33fd68fc85a35d31e4c1febb1f95a9507","observation_id":"f37f4563-91b6-41ba-bb1d-384878769af4","resolution":{"observed_at":"2026-08-15T18:44:10.933745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:44:10.938786Z","title":"Stern and A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.938786Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:766fdab86e972ce1cba89ff4478e8882fb66a951907057c62481fa7ef944a6b1","observation_id":"c1b02f0b-44e4-4733-b27e-61030929acbe","resolution":{"observed_at":"2026-08-15T18:44:10.938786Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:44:10.942947Z","title":"Hexner, A","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.942947Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:b7bb10f2576f742303fb42eb558a23df92dfea773dfa5451c661c2f007bdc0d1","observation_id":"c1299c59-fd7c-48d2-8913-c526dd76a5c3","resolution":{"observed_at":"2026-08-15T18:44:10.942947Z","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":"2026-08-15T18:44:11.886648Z","title":"Scellier and Y","venue":null,"work_id":"c442e6cf-1015-4d9e-b115-f2d0ebcb14ff","year":2017},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.946992Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:3cb67aecc000a6e3271d5e18218b44b43fcff11e425d45e9246180b6e6ae90c8","observation_id":"ce66f7d3-0156-4118-b215-93144c54b368","resolution":{"observed_at":"2026-08-15T18:44:11.891153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:44:10.951351Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.951351Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:43a98fd0e2a708bebd49ee79248a335357fa9fff9ab0c2f189287694338ffbab","observation_id":"34456e01-a4dd-42a1-9c4d-caf8af1a5aa0","resolution":{"observed_at":"2026-08-15T18:44:10.951351Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:44:10.955632Z","title":"Stern, D","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.955632Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:16c908b1a0704a256998a82aef47b50a2ce7c9f3758e7b1cc15c6c21aa508714","observation_id":"04deb521-e53f-434f-b0e8-474330ec783c","resolution":{"observed_at":"2026-08-15T18:44:10.955632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.20402","last_updated":"2025-08-08T04:52:40Z","snapshot_observed_at":"2026-08-14T18:27:46.991911Z","submitted_at":"2025-06-25T13:16:52Z","title":"Equilibrium Propagation for Dissipative Dynamics","version":2},"cited_work":{"arxiv_id":"2506.20402","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.20402","snapshot_observed_at":"2026-08-15T18:44:11.332733Z","title":"Equilibrium Propagation for Dissipative Dynamics","venue":"cond-mat.dis-nn","work_id":"59709c04-b833-4dee-bc41-8a4667cb3d82","year":2025},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.960089Z"},"links":{"cited_paper":"/paper/2506.20402","citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:44508b0a4eb638bd36c8f1c0e99ab05b55e648d9a372df41dbc99b3541b6d01b","observation_id":"e3d74900-2379-4ef1-a542-f9c180ed2e44","resolution":{"observed_at":"2026-08-15T18:44:11.339936Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:11.852146Z","title":"Lopez-Pastor and F","venue":null,"work_id":"d71c85ed-669d-42bc-9fc4-068436d71869","year":2023},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.965852Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:48c71c5c26dafc24156f5716fba409208f61aa1bea88b74a3ad913451018f3be","observation_id":"f9dab257-b5f5-47b7-a9d4-d083febdb867","resolution":{"observed_at":"2026-08-15T18:44:11.858210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:44:10.970281Z","title":"de Bos and M","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.970281Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:93c2645bc97a28b8405b2e40e9d7d626ddbc2c19a6692f943dcf1dc7068ef18d","observation_id":"30351680-1d3f-4009-987b-e64588cb5d74","resolution":{"observed_at":"2026-08-15T18:44:10.970281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:44:10.975553Z","title":"Hexner, Training precise stress patterns, Soft Matter 19, 2120 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.975553Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:75f5e87735d681d6a0af81a359e5983ae3654f0c3b305b7bf537c25ed46c630f","observation_id":"d3ec365f-08b0-422d-b54c-4e422d6bac40","resolution":{"observed_at":"2026-08-15T18:44:10.975553Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:44:10.980085Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.980085Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:ab6c1b989d2ec694d0ad48ed0b509a66208031625ced2a89b9d1b0b4165712d7","observation_id":"ceb59e19-fa5b-4b20-a194-9f4f7846a7cf","resolution":{"observed_at":"2026-08-15T18:44:10.980085Z","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":"2026-08-15T18:44:11.818249Z","title":"Laydevant, P","venue":null,"work_id":"f0e350f0-1cd2-4989-a344-ba4a81c0928d","year":2023},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.984850Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:51f4a58fc5dc389c3d5cc9b8b6726d117ee7703adcdb05b6deab8376f33004a2","observation_id":"6b19a3f3-2d2b-4c14-91db-41290038d508","resolution":{"observed_at":"2026-08-15T18:44:11.822726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:44:10.989836Z","title":"Dillavou, M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.989836Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:75b3bed962569008a93cb1a4b6cfe508eac34b6dc491bd955a46a82203507329","observation_id":"ce638e63-a2d6-4c9a-8303-de4ee2e365f3","resolution":{"observed_at":"2026-08-15T18:44:10.989836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:44:10.994858Z","title":"Dillavou, B","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.994858Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:b472bc00daf1346f371f6bdfb2723d28872fec626caa37413737f105293c3f72","observation_id":"c91c03ee-8fe0-4d05-ae4b-e70d746bef30","resolution":{"observed_at":"2026-08-15T18:44:10.994858Z","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":"2026-08-15T18:44:11.784285Z","title":"Laydevant, D","venue":null,"work_id":"140da422-3025-40be-beef-91b1dd4c8539","year":2024},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:10.999190Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:e5c8759a37175030c0cd58046ca2fac911dbc7df04a8ca83ab094ac54ab4b274","observation_id":"ffc963de-44ab-4041-946b-77718089b621","resolution":{"observed_at":"2026-08-15T18:44:11.789282Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:44:11.003345Z","title":"Niazi, S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.003345Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:8fd3955b4891e95e3f0cf078776d4acbcac6f8ae03af1c0df0988e2e0d134f5a","observation_id":"cbe64554-4421-476d-8e7a-c1e4f6f1d941","resolution":{"observed_at":"2026-08-15T18:44:11.003345Z","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":"2026-08-15T18:44:11.760325Z","title":"Ernoult, J","venue":null,"work_id":"97b4f38a-9131-4c96-a3b1-fd42b96729e2","year":2019},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.007482Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:d116f62f02cad0dfd3df954f75c213d5e18627f80366918d2e77e62505cdddc9","observation_id":"0203ec24-f0ce-46b0-884e-5c33bcf30341","resolution":{"observed_at":"2026-08-15T18:44:11.765068Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:44:11.012091Z","title":"Kaiser, W","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.012091Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:6c0bcfb0cdc430bf538666318f06e9d1b45d1b8fe21abcfd915e51045f7468d1","observation_id":"7b82ff5f-6f60-4d7c-bf07-4610880ddb29","resolution":{"observed_at":"2026-08-15T18:44:11.012091Z","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":"2026-08-15T18:44:11.736413Z","title":null,"venue":null,"work_id":"f82ae927-c985-48ac-90a4-12d3d37aa96f","year":2024},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.016512Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:2925bc0eda89f79150ea1d0102d7009183cec12cf28804119fadde35717e7f26","observation_id":"b6735598-48d1-4344-a404-3b43ebd2bb78","resolution":{"observed_at":"2026-08-15T18:44:11.740700Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:11.721365Z","title":null,"venue":null,"work_id":"d21a7773-4909-4784-a39c-009202b54f9a","year":2024},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.021013Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:9ecfd02ceb5728bbe02bc10bfe625e6c7ab15dfecb0d55c82344319e26b0b460","observation_id":"431adbb8-8544-4c8f-b42d-b65b8c6ee1a4","resolution":{"observed_at":"2026-08-15T18:44:11.726029Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:11.706063Z","title":"Baldi and F","venue":null,"work_id":"713e49ab-c1f0-4202-bc09-7290e7cc649b","year":1991},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.025478Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:78366d89c3f9331d11eb6a1d628c187a91a8658ea2630169551c5983a982fe98","observation_id":"7c2436fd-04d3-4462-81a7-011959261524","resolution":{"observed_at":"2026-08-15T18:44:11.711066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:11.690328Z","title":"Hyv¨ arinen, Estimation of non-normalized statistical models by score matching, Journal of Machine Learning Research 6, 695 (2005)","venue":null,"work_id":"7a9eedca-c571-495e-9f2a-f693e17af9bc","year":2005},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.030020Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:43215de0eb70ec7220eedaceae7e55580e9537ff5a9693b84dc0d5e76575207a","observation_id":"fe7f4309-85ba-488e-85af-bf228332d527","resolution":{"observed_at":"2026-08-15T18:44:11.695584Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:11.675348Z","title":"Song and S","venue":null,"work_id":"d4db02c5-7a66-41cf-98d4-309a9da809d6","year":2019},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.034336Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:fe413f476cf16c3681ca8d7dc771ce7d2c9de395db8c21bc4143d8fed079428e","observation_id":"e0852963-e28a-4704-9a3e-8812ec3b39b5","resolution":{"observed_at":"2026-08-15T18:44:11.680209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.13456","last_updated":"2021-02-10T18:17:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-11-26T19:39:10Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.13456","snapshot_observed_at":"2026-08-15T18:44:11.038739Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.038739Z"},"links":{"cited_paper":"/paper/2011.13456","citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:bd3bb291ba94c0af208b96820241a09ac9d5784411fe793ab941d32ffb57ea47","observation_id":"b9eb3947-c7bb-48c0-9696-a07514041493","resolution":{"observed_at":"2026-08-15T18:44:11.038739Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.07068","last_updated":"2022-03-25T15:19:21Z","snapshot_observed_at":"2026-08-20T06:23:57.896527Z","submitted_at":"2021-12-14T00:01:34Z","title":"Score-Based Generative Modeling with Critically-Damped Langevin Diffusion","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.07068","snapshot_observed_at":"2026-08-15T18:44:11.044045Z","title":"Dockhorn, A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.044045Z"},"links":{"cited_paper":"/paper/2112.07068","citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:3ea65aeb41a24d96aae4564d4f0ea2453b0e2697104b27af47e4cd966eda04ca","observation_id":"03950e30-07a0-4357-9704-b16347bd1e6b","resolution":{"observed_at":"2026-08-15T18:44:11.044045Z","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":"2026-08-15T18:44:11.660334Z","title":"Saharia, W","venue":null,"work_id":"deb8e238-3f32-4c7a-8240-c6a48604fa51","year":2022},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.049200Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:1714606146c61c811aefa388c4546218eaad67fe8344d952633ede9f5600b3a6","observation_id":"b3986281-95bf-490d-b44e-a10d1dc0e64e","resolution":{"observed_at":"2026-08-15T18:44:11.664969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:11.644030Z","title":null,"venue":null,"work_id":"c76ff9b4-84d9-410c-912b-dafe2fc5d797","year":2023},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.053505Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:e395e7706ec3d5210fbe912c4b39b09afb6804fb631e3ed23ffc2a2bca96246a","observation_id":"8508f429-c4f9-4f57-97fa-83c380554b10","resolution":{"observed_at":"2026-08-15T18:44:11.649324Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:11.627671Z","title":null,"venue":null,"work_id":"2df40133-0a30-493f-b1d3-f8d874c9aa36","year":1986},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.058084Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:998e6b85337f2ad51a35c1159375e907075e7ac9a39b189ff28675a343ccd63a","observation_id":"df2c6325-d9b5-4d7d-a0b3-2adeeac166c6","resolution":{"observed_at":"2026-08-15T18:44:11.632191Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:44:11.062668Z","title":null,"venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.062668Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:cd88dccc0106ad042fc17bcce1a00bdfac6025f7344cf9db0ecde95ca1af042e","observation_id":"0180f5e1-c9a0-42ed-8e32-bc655bd5d768","resolution":{"observed_at":"2026-08-15T18:44:11.062668Z","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":"2026-08-15T18:44:11.602559Z","title":"Salakhutdinov and H","venue":null,"work_id":"f0d0c502-39da-4bb8-9f02-0db61844ac05","year":2010},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.066941Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:2f9c4ab582f8522c90db4269083af5a1671a569e1d6e2dfca710d516c6539aa1","observation_id":"1c3e5827-efdd-4296-984e-981c8eaf1234","resolution":{"observed_at":"2026-08-15T18:44:11.607390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:11.586863Z","title":null,"venue":null,"work_id":"b7df7060-7221-4710-b2c0-8a3551c4cb65","year":1993},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.071207Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:708789e3156c50fdbbf1dbedeeb4fedd8003225a34738297b7ce945834dab3ff","observation_id":"d4941528-e240-4790-9501-3c01ff71dcab","resolution":{"observed_at":"2026-08-15T18:44:11.591823Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02747","last_updated":"2023-02-08T15:46:05Z","snapshot_observed_at":"2026-08-16T02:30:42.660030Z","submitted_at":"2022-10-06T08:32:20Z","title":"Flow Matching for Generative Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02747","snapshot_observed_at":"2026-08-15T18:44:11.075386Z","title":"Lipman, R","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.075386Z"},"links":{"cited_paper":"/paper/2210.02747","citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:7b2a4edd43f775defbc3bda9e1eabe3a4070db95f767f775b8f189cf5a3f6d3f","observation_id":"3a14590a-35b4-4e88-aa98-ebb4dbfcf450","resolution":{"observed_at":"2026-08-15T18:44:11.075386Z","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":"2026-08-15T18:44:11.572931Z","title":null,"venue":null,"work_id":"1fba8948-874e-4f2f-9714-ac29f109e4c1","year":2020},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.079888Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:6eb0e8a367a7e85fd6b0783913f275d6bff7bd59ab0ec2b5e4a34480abc1cb55","observation_id":"1111c3ac-083b-4d0e-9262-d95f5947c348","resolution":{"observed_at":"2026-08-15T18:44:11.577447Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:11.558095Z","title":"Vempala and A","venue":null,"work_id":"e4349bc3-26e2-478b-b02a-e533effc68e5","year":2019},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.084126Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:093a3f114726c92db8d459c60d7c59f224a1c25087eefc0192d40e45561979a7","observation_id":"be85ba0e-3c62-4399-8edb-a3c5321f8241","resolution":{"observed_at":"2026-08-15T18:44:11.562900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:44:11.088489Z","title":null,"venue":null,"work_id":null,"year":1982},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.088489Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:65c4e2b9ab5e8656a8e693e3a5b69cc127b57f556dd0f055e1df4d27e289c233","observation_id":"0321f522-108d-4d8d-a7f4-cc43c4503dab","resolution":{"observed_at":"2026-08-15T18:44:11.088489Z","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":"2026-08-15T18:44:11.533048Z","title":null,"venue":null,"work_id":"c826c022-d097-475a-81a5-1d178e502717","year":2010},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.092899Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:91ff16b3e85511c4133efe3a4ae08d7fcea0c43992462e2b33edcfcfa4c59ae4","observation_id":"d8063951-93ab-460d-808b-464ee4d0ea1b","resolution":{"observed_at":"2026-08-15T18:44:11.537831Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:11.518572Z","title":"Serra-Garcia, M","venue":null,"work_id":"6b9de659-cf49-4f5e-8a3d-878e4a179ce5","year":2018},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.097367Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:0d0ef300d1e4c81493d5361bbb124ad3665331051b73adf0bd5afe8975628920","observation_id":"701cce59-51dd-4f85-baa4-52ddc99c9a03","resolution":{"observed_at":"2026-08-15T18:44:11.523336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:11.503264Z","title":"Serra-Garcia, A","venue":null,"work_id":"9f465593-86f1-4091-bf46-4404c1f17364","year":2016},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.101667Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:0066c4d4ae68273c21dac1be078ecedf19fed57921b0c3a0fb2a623fe7495a41","observation_id":"dd725245-6e75-4269-a387-ffbdf57a0389","resolution":{"observed_at":"2026-08-15T18:44:11.508176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:11.487758Z","title":"Hyvarinen, Connections between score matching, con- trastive divergence, and pseudolikelihood for continuous- valued variables, IEEE Transactions on neural networks 18, 1529 (2007)","venue":null,"work_id":"23a9e5c1-c3e0-44f2-abfb-de7eb3576f7f","year":2007},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.106131Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:2c6d5f303bf24822d3d5e32cc6abdd522cdae722a20566146a204b72dbcf0c5f","observation_id":"0f624971-1142-4f66-9fbe-836db0f1de52","resolution":{"observed_at":"2026-08-15T18:44:11.493010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:44:11.472346Z","title":"Vahdat, K","venue":null,"work_id":"e653bd7a-48b4-4df4-b26b-887671fabe2d","year":2021},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.110494Z"},"links":{"citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:83d29ff2b397b72ce86d74c3fb3039a09673d20d77582ca56a1aa4aa39053eb8","observation_id":"41815aff-e7fd-4506-9e5f-ebd8bfd417e4","resolution":{"observed_at":"2026-08-15T18:44:11.477358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20292","last_updated":"2025-06-05T05:09:27Z","snapshot_observed_at":"2026-08-16T08:43:12.375693Z","submitted_at":"2024-12-28T22:33:29Z","title":"An analytic theory of creativity in convolutional diffusion models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20292","snapshot_observed_at":"2026-08-15T18:44:11.114673Z","title":"Kamb and S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models","version":4},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-15T18:44:11.114673Z"},"links":{"cited_paper":"/paper/2412.20292","citing_paper":"/paper/2506.19136"},"observation_digest":"sha256:b059e2822edfaa540e76bc4cde38f63c67756d4531f4c10b641c0337b2bbf6a6","observation_id":"08fc5261-a3af-4061-9e5a-7cce98455938","resolution":{"observed_at":"2026-08-15T18:44:11.114673Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.19136","last_updated":"2026-07-03T15:09:41Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-20T06:25:20.364448Z","submitted_at":"2025-06-23T21:11:40Z","title":"Local Learning Rules for Out-of-Equilibrium Physical Generative Models"},"reference_resolution":{"displayed":58,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":32,"verified_exact":2,"verified_fuzzy":24},"total_outbound_references":58},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 4 inbound Pith citation observations for arXiv:2506.19136."}