{"as_of":"2026-08-11T11:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:19318d6811b87d9f79f698cabe1c3f8f4b01133bfcdb22feac7812393f8bd53e","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":21,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:41:42.354044Z","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":"2026-07-03T01:27:31.206726Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-08-10T22:41:42.354044Z","title":"G., Pearlmutter, B","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.01045","last_updated":"2025-06-06T07:00:41Z","snapshot_observed_at":"2026-08-11T02:12:55.590977Z","submitted_at":"2025-01-02T04:10:17Z","title":"ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think","version":4},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-10T22:41:42.354044Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2501.01045"},"observation_digest":"sha256:f583a7ac93eaefd2fc20b8aef747f6124faf0cf75e37466ab220a20634e6847d","observation_id":"ed367f58-65ea-4e7d-ad3a-5e4438f7df16","resolution":{"observed_at":"2026-08-10T22:41:42.354044Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-08-07T18:56:25.709239Z","title":"G., Pearlmutter, B","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.10239","last_updated":"2026-06-16T22:55:19Z","snapshot_observed_at":"2026-08-10T14:39:38.116147Z","submitted_at":"2025-02-14T15:49:02Z","title":"Efficient Zeroth-Order Federated Finetuning of Language Models on Resource-Constrained Devices","version":3},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T18:56:25.709239Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2502.10239"},"observation_digest":"sha256:4c2c192a1e5548ffaa147e0aba7dc890e1997061741346f8b66431f142f94efd","observation_id":"ca7f3293-642e-43ab-915e-7c7db1915219","resolution":{"observed_at":"2026-08-07T18:56:25.709239Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-08-07T14:43:01.608123Z","title":"Gradients without backpropagation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.18081","last_updated":"2025-05-23T16:39:21Z","snapshot_observed_at":"2026-08-09T23:59:13.428180Z","submitted_at":"2025-05-23T16:39:21Z","title":"Backpropagation-Free Metropolis-Adjusted Langevin Algorithm","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:43:01.608123Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2505.18081"},"observation_digest":"sha256:a1f240d0829750ec88ee061b0daab5a88159383ea177f0633949fde4c8c23557","observation_id":"9afa3096-b2ac-4ee3-af76-49d4c46a5072","resolution":{"observed_at":"2026-08-07T14:43:01.608123Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-08-07T10:44:02.577676Z","title":"Gradi- ents without backpropagation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13772","last_updated":"2025-06-05T03:02:32Z","snapshot_observed_at":"2026-08-09T04:26:30.757809Z","submitted_at":"2025-06-05T03:02:32Z","title":"MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T10:44:02.577676Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2506.13772"},"observation_digest":"sha256:725e8c4cd247466902ba08994eb57ba751a8a59d5e567cd76130c14610f17776","observation_id":"3d5d04ee-0b0e-464a-b628-b78ce3daef28","resolution":{"observed_at":"2026-08-07T10:44:02.577676Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-08-06T22:24:36.653035Z","title":"Pearlmutter, Don Syme, Frank Wood, and Philip Torr","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.21833","last_updated":"2026-07-10T19:11:43Z","snapshot_observed_at":"2026-08-09T01:25:49.190171Z","submitted_at":"2025-06-27T00:47:03Z","title":"Memory Savings at What Cost? A Study of Alternatives to Backpropagation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T22:24:36.653035Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2506.21833"},"observation_digest":"sha256:d9f22cab044e5da2deafd0b33ec96b091c2aefbdcae7c6a4a1c4515256e03b66","observation_id":"9ba97522-e0d2-4c4c-8e9e-2ed397839ccc","resolution":{"observed_at":"2026-08-06T22:24:36.653035Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-08-06T10:18:57.082183Z","title":"Gradients without backprop- agation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.00289","last_updated":"2025-08-01T03:26:18Z","snapshot_observed_at":"2026-08-11T02:12:56.494119Z","submitted_at":"2025-08-01T03:26:18Z","title":"TITAN-Guide: Taming Inference-Time AligNment for Guided Text-to-Video Diffusion Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T10:18:57.082183Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2508.00289"},"observation_digest":"sha256:cc2d55ed9f587de187bb30ef91c6acff880f7c8ea72a3bae340c41e6a88b702b","observation_id":"65cb2da8-1ade-4ef7-9343-8835e291098a","resolution":{"observed_at":"2026-08-06T10:18:57.082183Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-08-05T12:31:25.842702Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.01533","last_updated":"2025-09-01T15:10:38Z","snapshot_observed_at":"2026-08-11T00:40:32.577915Z","submitted_at":"2025-09-01T15:10:38Z","title":"Forward-Only Continual Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T12:31:25.842702Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2509.01533"},"observation_digest":"sha256:cee41354da949285212f2731416ac51777bb30778323df3ea295e0036452121c","observation_id":"adb53da0-4298-4311-a4ff-364e4a65fd1e","resolution":{"observed_at":"2026-08-05T12:31:25.842702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":"2202.08587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-07-03T01:27:31.206726Z","title":"arXiv preprint arXiv:2202.08587 , year=","venue":null,"work_id":"22db94dc-098b-4e17-9d9f-4cd0e77555c7","year":2022},"citing_paper":{"arxiv_id":"2603.16437","last_updated":"2026-06-16T01:11:55Z","snapshot_observed_at":"2026-08-04T17:25:00.308048Z","submitted_at":"2026-03-17T12:19:07Z","title":"Dimensional Type Systems and Deterministic Memory Management: Design-Time Semantic Preservation in Native Compilation","version":6},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-15T09:48:08.954704Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2603.16437"},"observation_digest":"sha256:7f55706bb0f63f7186750f854c1c2278784ea57f9e8c5f2e2b13bb6b6e47f95f","observation_id":"a1ebab72-a92b-4d38-acd7-8da84b0d3b6e","resolution":{"observed_at":"2026-05-15T09:49:54.564670Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-07-13T23:46:05.243960Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.16437","last_updated":"2026-06-16T01:11:55Z","snapshot_observed_at":"2026-08-04T17:25:00.308048Z","submitted_at":"2026-03-17T12:19:07Z","title":"Dimensional Type Systems and Deterministic Memory Management: Design-Time Semantic Preservation in Native Compilation","version":7},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-13T23:46:05.243960Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2603.16437"},"observation_digest":"sha256:01c135cb160cad26a2f46d48111475db6e3509f1ceaae5e5a40f764e936698bd","observation_id":"52ccdc9d-ec56-4708-9fef-8d587f86a7ed","resolution":{"observed_at":"2026-07-13T23:46:05.243960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":"2202.08587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-07-03T01:27:31.206726Z","title":"arXiv preprint arXiv:2202.08587 , year=","venue":null,"work_id":"22db94dc-098b-4e17-9d9f-4cd0e77555c7","year":2022},"citing_paper":{"arxiv_id":"2603.17627","last_updated":"2026-06-16T01:17:11Z","snapshot_observed_at":"2026-07-13T23:04:18.394816Z","submitted_at":"2026-03-18T11:47:15Z","title":"The Program Hypergraph: Multi-Way Relational Structure for Geometric Algebra, Spatial Compute, and Physics-Aware Compilation","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-15T08:42:20.931132Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2603.17627"},"observation_digest":"sha256:240eb4896c7e866a3e976ebd3a60e9640cb962f2712ee1970836f3813589c758","observation_id":"6a6aa66f-73b5-4c44-9ba0-df1d61bd7ab1","resolution":{"observed_at":"2026-05-15T08:45:19.212932Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-07-13T23:04:18.864523Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.17627","last_updated":"2026-06-16T01:17:11Z","snapshot_observed_at":"2026-07-13T23:04:18.394816Z","submitted_at":"2026-03-18T11:47:15Z","title":"The Program Hypergraph: Multi-Way Relational Structure for Geometric Algebra, Spatial Compute, and Physics-Aware Compilation","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-13T23:04:18.864523Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2603.17627"},"observation_digest":"sha256:2d42cea86d2262c104622428d0dda014ea9fad6f86835d18cef0e3b91f049fe7","observation_id":"5c7b749b-63b8-437f-a417-1c35b6da3869","resolution":{"observed_at":"2026-07-13T23:04:18.864523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":"2202.08587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-07-03T01:27:31.206726Z","title":"arXiv preprint arXiv:2202.08587 , year=","venue":null,"work_id":"22db94dc-098b-4e17-9d9f-4cd0e77555c7","year":2022},"citing_paper":{"arxiv_id":"2603.18104","last_updated":"2026-06-16T01:20:48Z","snapshot_observed_at":"2026-07-13T23:03:57.527088Z","submitted_at":"2026-03-18T12:36:19Z","title":"Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-15T09:07:06.620864Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2603.18104"},"observation_digest":"sha256:7aaf33e3f02439c938702ee4fd43a64e05e79e8294ee3b7f4f3a74d30d436383","observation_id":"83773abc-406a-414b-97a1-800320a9a716","resolution":{"observed_at":"2026-05-15T09:09:53.218284Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-07-13T23:03:58.008815Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.18104","last_updated":"2026-06-16T01:20:48Z","snapshot_observed_at":"2026-07-13T23:03:57.527088Z","submitted_at":"2026-03-18T12:36:19Z","title":"Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI","version":5},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-13T23:03:58.008815Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2603.18104"},"observation_digest":"sha256:5187744b3c8e816dffd573c70b726ba720c5cb44e267bd8118de64a80d1ef5ad","observation_id":"a0055ec3-8f09-423a-8e81-850e790116ad","resolution":{"observed_at":"2026-07-13T23:03:58.008815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":"2202.08587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-07-03T01:27:31.206726Z","title":"arXiv preprint arXiv:2202.08587 , year=","venue":null,"work_id":"22db94dc-098b-4e17-9d9f-4cd0e77555c7","year":2022},"citing_paper":{"arxiv_id":"2603.25414","last_updated":"2026-06-16T01:22:57Z","snapshot_observed_at":"2026-07-31T16:58:01.663077Z","submitted_at":"2026-03-26T13:09:36Z","title":"Decidable By Construction: Design-Time Verification for Trustworthy AI","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-15T00:43:45.198512Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2603.25414"},"observation_digest":"sha256:4b842e22bf853d4dd7677eab4882bb2bc00a161cb061a425b052344a30bfc306","observation_id":"97623669-2071-4793-aeb8-826e91f7ebf2","resolution":{"observed_at":"2026-05-15T00:48:25.071455Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":"2202.08587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-07-03T01:27:31.206726Z","title":"arXiv preprint arXiv:2202.08587 , year=","venue":null,"work_id":"22db94dc-098b-4e17-9d9f-4cd0e77555c7","year":2022},"citing_paper":{"arxiv_id":"2604.08204","last_updated":"2026-04-09T13:06:25Z","snapshot_observed_at":"2026-07-06T22:57:22.475588Z","submitted_at":"2026-04-09T13:06:25Z","title":"Introducing Echo Networks for Computational Neuroevolution","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T18:08:50.589341Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2604.08204"},"observation_digest":"sha256:67d8f71e9f4f5ea01c16197df6be468882c8d36e85ab36e121d14c4f3ae7505d","observation_id":"48393e32-96ae-4d70-97eb-90f22317ef62","resolution":{"observed_at":"2026-05-11T05:25:59.217084Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":"2202.08587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-07-03T01:27:31.206726Z","title":"arXiv preprint arXiv:2202.08587 , year=","venue":null,"work_id":"22db94dc-098b-4e17-9d9f-4cd0e77555c7","year":2022},"citing_paper":{"arxiv_id":"2605.00740","last_updated":"2026-05-01T15:40:10Z","snapshot_observed_at":"2026-07-06T23:14:06.327027Z","submitted_at":"2026-05-01T15:40:10Z","title":"Randomized Subspace Nesterov Accelerated Gradient","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-09T18:42:45.370954Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2605.00740"},"observation_digest":"sha256:53f3b2edc255e6d2041df16718d0115a6e49ed119dc711b50b6ed754c125df08","observation_id":"cee5fcef-2c74-438a-8faf-22e2c0fce4b9","resolution":{"observed_at":"2026-05-11T16:06:29.764989Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":"2202.08587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-07-03T01:27:31.206726Z","title":"arXiv preprint arXiv:2202.08587 , year=","venue":null,"work_id":"22db94dc-098b-4e17-9d9f-4cd0e77555c7","year":2022},"citing_paper":{"arxiv_id":"2605.01928","last_updated":"2026-05-03T15:20:56Z","snapshot_observed_at":"2026-07-06T23:15:07.159340Z","submitted_at":"2026-05-03T15:20:56Z","title":"Training Non-Differentiable Networks via Optimal Transport","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-05-10T15:37:42.167420Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2605.01928"},"observation_digest":"sha256:8d6ce1734c01abfc84292adc31ec8e843e87d44c73cc79f38915669b09130025","observation_id":"d982e09d-9ac5-44fb-b4ff-550b948d5ba3","resolution":{"observed_at":"2026-05-11T10:11:01.470626Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":"2202.08587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-07-03T01:27:31.206726Z","title":"arXiv preprint arXiv:2202.08587 , year=","venue":null,"work_id":"22db94dc-098b-4e17-9d9f-4cd0e77555c7","year":2022},"citing_paper":{"arxiv_id":"2605.15622","last_updated":"2026-05-18T07:21:10Z","snapshot_observed_at":"2026-07-06T23:26:51.110846Z","submitted_at":"2026-05-15T05:11:43Z","title":"Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered","version":2},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-05-20T21:19:55.074853Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2605.15622"},"observation_digest":"sha256:e750a8b3a87db88c79d8eff65dea4541e4e79f920102f154611c680e72ddebee","observation_id":"1c354816-e07d-4bd7-97d9-65c9b02236a8","resolution":{"observed_at":"2026-05-20T21:23:44.551703Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":"2202.08587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-07-03T01:27:31.206726Z","title":"arXiv preprint arXiv:2202.08587 , year=","venue":null,"work_id":"22db94dc-098b-4e17-9d9f-4cd0e77555c7","year":2022},"citing_paper":{"arxiv_id":"2606.09734","last_updated":"2026-06-08T16:59:58Z","snapshot_observed_at":"2026-08-09T11:32:42.090960Z","submitted_at":"2026-06-08T16:59:58Z","title":"Adaptive directional gradients for parameterised quantum circuits","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-27T16:32:17.167850Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2606.09734"},"observation_digest":"sha256:4ed81645cad7a9808ab18bb1ec380dba87feed51790ec478f441e87a4b350153","observation_id":"cfdf8548-d089-4b23-9bd1-5487c7fa2961","resolution":{"observed_at":"2026-07-03T01:27:31.208141Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-08-01T20:29:57.728447Z","title":"Pearlmutter, Don Syme, Frank Wood, and Philip Torr","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.16612","last_updated":"2026-07-18T03:23:21Z","snapshot_observed_at":"2026-08-09T23:59:14.459067Z","submitted_at":"2026-07-18T03:23:21Z","title":"Backpropagation-Free Trunk Training via the Split Forward Gradients","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-01T20:29:57.728447Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2607.16612"},"observation_digest":"sha256:be8f2358db8e59be0ec1e60cefc8d8721f5f6a955d7293f3d6b02572eec74c56","observation_id":"107afcb8-e171-4628-ae80-07d89811f368","resolution":{"observed_at":"2026-08-01T20:29:57.728447Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.08587","snapshot_observed_at":"2026-08-01T14:54:28.180797Z","title":"Pearlmutter, Don Syme, Frank Wood, and Philip Torr","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.26483","last_updated":"2026-07-29T05:18:34Z","snapshot_observed_at":"2026-08-09T21:07:37.903141Z","submitted_at":"2026-07-29T05:18:34Z","title":"Reconstructing Backpropagation from Forward Fluctuations in Noise-modulated Neural Networks","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-01T14:54:28.180797Z"},"links":{"cited_paper":"/paper/2202.08587","citing_paper":"/paper/2607.26483"},"observation_digest":"sha256:1a12eb76e7c1efe8b58b4bc16246eb5cc25cb5208af1a2d123339cf35e9ec4a5","observation_id":"b3b18939-7876-4a58-ba79-5f313db9355a","resolution":{"observed_at":"2026-08-01T14:54:28.180797Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2202.08587/citation-record","integrity":"/paper/2202.08587/integrity","json":"/paper/2202.08587/citation-record.json","paper":"/paper/2202.08587"},"outbound":[],"paper":{"arxiv_id":"2202.08587","last_updated":"2022-02-17T11:07:55Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T02:29:01.141729Z","submitted_at":"2022-02-17T11:07:55Z","title":"Gradients without Backpropagation"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2202.08587."}