{"as_of":"2026-08-11T14:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:675a9a0a8621adaf5b6fa37e90983d5f8076648a66c754d51bc73f875e5c2b20","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:27:46.726025Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.18242/citation-record","integrity":"/paper/2506.18242/integrity","json":"/paper/2506.18242/citation-record.json","paper":"/paper/2506.18242"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.750194Z","title":"LeCun, Y","venue":null,"work_id":"a67f098b-cbdb-4e40-a3b5-417e0e0499cd","year":2015},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.451672Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:6581f9e22c2e6e9efe5cf403177f392db8714124580a935b58096fec91a2a0a4","observation_id":"43026dbc-8e7c-4a5c-91eb-b464fff991e8","resolution":{"observed_at":"2026-08-06T23:27:47.756886Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.731882Z","title":"Russakovsky, J","venue":null,"work_id":"67a2912f-279a-4a1b-a5ee-a738148fbc40","year":2015},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.457849Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:0bf336f93bdf37e70d0f0ebaec6f895901e0f0ceb0160ed3082f89ba839e5f13","observation_id":"3a56aae5-7f8c-47f1-8e13-0e2c3c6e307c","resolution":{"observed_at":"2026-08-06T23:27:47.737195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.711906Z","title":"Krizhevsky, I","venue":null,"work_id":"c2d70cf3-74d9-44d4-9e34-c74b19284c20","year":2017},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.463377Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:b1d3b18f1308e44840ecaa35d4815c9f31fd44a40bbc5306fbe72c7213ab554e","observation_id":"d31bc88b-abdf-4fa2-be98-2056db29dd32","resolution":{"observed_at":"2026-08-06T23:27:47.719098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.694600Z","title":null,"venue":null,"work_id":"10015b44-2ad8-4b3c-b55c-8f4e16c6e2d3","year":2024},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.468764Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:daf394872b29d8c0d2df07317f3f8545b4f80de3b8e19d9f5ed438d64b6f751e","observation_id":"d101dc66-fb2b-4935-9a6e-6dbf0e064961","resolution":{"observed_at":"2026-08-06T23:27:47.699440Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.677261Z","title":"Han, ACM Trans","venue":null,"work_id":"0cb14005-3766-4c80-949c-47442f0aa368","year":2023},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.473971Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:bd1a8746234fb39d6ae20765b6393def4428dfebd9f89936718325ad5431d0c4","observation_id":"c89fa895-0e4a-40d5-9209-468305fc0b82","resolution":{"observed_at":"2026-08-06T23:27:47.682235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.660472Z","title":null,"venue":null,"work_id":"d2cc44ce-64c3-491f-9378-c2a79ce366ba","year":2020},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.480254Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:bbcecf11d7bf43a50d914da15efc5565437f046eef1bcee09a29471737adef39","observation_id":"176d2877-14d6-48c2-817c-671a0c12f15e","resolution":{"observed_at":"2026-08-06T23:27:47.665671Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2306.15091","last_updated":"2023-06-26T22:14:04Z","snapshot_observed_at":"2026-07-06T15:47:03.002949Z","submitted_at":"2023-06-26T22:14:04Z","title":"Understanding In-Context Learning via Supportive Pretraining Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.15091","snapshot_observed_at":"2026-08-06T23:27:46.486066Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.486066Z"},"links":{"cited_paper":"/paper/2306.15091","citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:ebb2d29ee636066bee6fbacd7bfea67cc67a2dc2abe60ff4cb31abbb3f3e44a2","observation_id":"afb0c5c5-06e2-425c-82a5-3611927bfa49","resolution":{"observed_at":"2026-08-06T23:27:46.486066Z","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":"2026-08-06T23:27:47.642368Z","title":null,"venue":null,"work_id":"f0accd9f-c62a-416b-bdb8-6f201f279303","year":2024},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.491308Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:a62a97bb12118d52b78a7a2eae219893f2d521b3c4061954aacc4401c09bc6de","observation_id":"0acfce30-1e57-408d-8765-017da042c39e","resolution":{"observed_at":"2026-08-06T23:27:47.647591Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2406.06264","last_updated":"2024-06-10T13:46:07Z","snapshot_observed_at":"2026-07-06T18:28:07.721412Z","submitted_at":"2024-06-10T13:46:07Z","title":"DualAD: Disentangling the Dynamic and Static World for End-to-End Driving","version":1},"cited_work":{"arxiv_id":"2406.06264","doi":"10.48550/arxiv.2406.06264","metadata_source":"pith","pith_arxiv_id":"2406.06264","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"DualAD: Disentangling the Dynamic and Static World for End-to-End Driving","venue":"cs.CV","work_id":"3ded24ea-2bdf-49b5-b8ae-d344a2f5c74a","year":2024},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.497313Z"},"links":{"cited_paper":"/paper/2406.06264","citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:47fa7d9d7183a53a3bf1f98cbcbbd1a6acdd225d3b2355f0ef0985d1af8e2a0c","observation_id":"ce2fc7c0-bdd7-43da-80f3-6d99a25e4f7b","resolution":{"observed_at":"2026-08-06T23:27:46.824654Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.617706Z","title":"Markram, Nat","venue":null,"work_id":"63e36d4b-08dc-45e9-ada1-47f8aa80f94f","year":2006},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.502657Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:2677007dd05126fe94f80e10b1db15ba7c9a9cf897092391c685f354100a1e1d","observation_id":"32e19503-1bb8-46b3-8377-514c70c86ea0","resolution":{"observed_at":"2026-08-06T23:27:47.624664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.595685Z","title":null,"venue":null,"work_id":"778e1d76-626d-446e-8b5a-1526579dc013","year":2017},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.507438Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:c8e14f86b14ed852f36f1cf18bd36c94749c065110a14c189e303da231995841","observation_id":"94095075-1dbc-4dcc-b2a2-582e07957f53","resolution":{"observed_at":"2026-08-06T23:27:47.603851Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.574895Z","title":"Wetzstein, A","venue":null,"work_id":"0fefeba0-c5ef-4b82-938f-9743b9e9ad86","year":2020},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.513805Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:a28908e5acc5718492638cc6d2655397f84d5f0e38f6331f10cb36c0093f833e","observation_id":"c8b5af02-5acd-425f-b498-7bccdeebf261","resolution":{"observed_at":"2026-08-06T23:27:47.582168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.554693Z","title":"Genty, L","venue":null,"work_id":"7a2fc7c9-2514-4101-83d0-6310542dc33c","year":2021},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.519435Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:4012d670293936a08763ff323413973d8faf2588f4df4cdd5d29c99b27ffd3d7","observation_id":"f5e4fca4-12de-444a-9f38-e7cb9635f91f","resolution":{"observed_at":"2026-08-06T23:27:47.560348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.534749Z","title":null,"venue":null,"work_id":"a52a1ac8-570f-4a19-93e0-96b88dc4dcac","year":2021},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.525276Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:f1eeaae7e7d4a683a7e60ea425afa2d14e134b707d27f5f194a61b170674b2c8","observation_id":"65734e0e-fa32-427f-903a-aaf937558ac0","resolution":{"observed_at":"2026-08-06T23:27:47.540704Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.503815Z","title":null,"venue":null,"work_id":"b83fa120-fcc3-44ee-b724-9e327c58137c","year":2024},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.529952Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:986fd07ae26a90f257e453c68d7d931b56eaafa003ac675a25a9ad2d80b99efa","observation_id":"88ca981e-c0e8-4f4a-be16-ac0069ca091a","resolution":{"observed_at":"2026-08-06T23:27:47.521725Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.484214Z","title":null,"venue":null,"work_id":"8c79c90d-ebe4-4b78-86d0-9d0313cd64cc","year":2023},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.535018Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:a967aa4976189ea8942d7fd7efe96816b1badd56842bd57b5178633270e5f9cb","observation_id":"3e5dfc51-e20a-4b47-8c29-a23cf416fe26","resolution":{"observed_at":"2026-08-06T23:27:47.490260Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.466659Z","title":null,"venue":null,"work_id":"dea583c3-448e-49ef-a406-343c80036f95","year":2018},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.540573Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:24d78e95818de97abc1a9d676562cab7e188e929479cc5b1a60e0b0d27f95e1d","observation_id":"df811d2b-aea8-4c3b-b3bc-74f00c4972d3","resolution":{"observed_at":"2026-08-06T23:27:47.471758Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.449422Z","title":null,"venue":null,"work_id":"35a5e9a4-c1a5-4b36-a4f1-e40e55cf0754","year":2020},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.546119Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:fbed5ffa3deed8993dd86f8526b01c23cf5cfee6fe8f6f363d09fafd66ad6071","observation_id":"92ee45b6-a954-4372-b8f7-b993ea89d681","resolution":{"observed_at":"2026-08-06T23:27:47.454733Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.431288Z","title":null,"venue":null,"work_id":"e2d7af42-713e-4e86-869f-234f622dabcb","year":2022},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.551039Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:1e4ab2b50feb43f36cd5ab8429639d72e40d7714b89e9850bb9094f1bfcbd954","observation_id":"f93b17c3-d08b-4f65-85b9-c315ae046189","resolution":{"observed_at":"2026-08-06T23:27:47.436937Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.413760Z","title":"Mengu, A","venue":null,"work_id":"d7e31caa-8ef5-45f9-ab32-80b75354f62f","year":2023},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.557268Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:4690a28daa8b8d006c3fa698d1fffde6682bea73f4393395553f6b5903b6afaf","observation_id":"cc43a2d6-8e4d-4ae4-94ca-41736b3ee035","resolution":{"observed_at":"2026-08-06T23:27:47.418857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.395165Z","title":"Mengu, A","venue":null,"work_id":"1decf7b9-023f-4db8-9e33-7b22ac7310e2","year":2022},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.563211Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:d06de68162f0f581a4e910793ad8c2599d33102296eb86d7d4f57f21922f60a1","observation_id":"79e84c60-6245-4291-b5b0-b121d5784618","resolution":{"observed_at":"2026-08-06T23:27:47.401163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.377129Z","title":null,"venue":null,"work_id":"65a69dfb-4067-4fc0-b08a-27fcbcf4d517","year":2024},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.568425Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:27b4fe675264f05f81f52304aa56c7d775d8a96fa3ec4f9bca3aabeb261fdc34","observation_id":"be33e91c-b5b2-44ff-ad24-8998d24ecdec","resolution":{"observed_at":"2026-08-06T23:27:47.382426Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.358405Z","title":null,"venue":null,"work_id":"ce646943-ba70-43d7-80c5-d0f6a1f02871","year":2019},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.574522Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:8145114b164f2b5293d806c2a04cb5480ed82b676a901f1b3f54059ea6d11b47","observation_id":"9aea1c5d-9151-46c8-8859-38338f62139c","resolution":{"observed_at":"2026-08-06T23:27:47.363889Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.340217Z","title":"Huang, P","venue":null,"work_id":"bcd258a3-c0ff-46a8-aa04-561828789fea","year":2021},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.581170Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:1937b3cca7a9ba5f1d78a7ae08de37c4969d23644207f7116c4b8f52d187f352","observation_id":"67ef2966-214a-45cb-9ab6-5a6d2575d696","resolution":{"observed_at":"2026-08-06T23:27:47.345764Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.321051Z","title":null,"venue":null,"work_id":"08c83eb3-2dc4-4261-b3f0-a4fed676e908","year":2021},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.587180Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:acd229a5a8e5b28ac38817baf4d2b056ea1df3a597bf0f7a7df978d543609642","observation_id":"9565e03e-8584-4f89-985e-7056de8f7bb5","resolution":{"observed_at":"2026-08-06T23:27:47.326642Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.300077Z","title":null,"venue":null,"work_id":"0450429d-a97a-4747-8df9-a0aec10a59c5","year":2022},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.593111Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:c665b387fdc41e64176bbfebe8201f69c50c6d0f4185178ba17ca717c4883750","observation_id":"dd087619-d9f7-462f-94c0-5573496f67c0","resolution":{"observed_at":"2026-08-06T23:27:47.306715Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.274274Z","title":null,"venue":null,"work_id":"6e4a7aad-5a34-416e-a1d9-43a3d23460d5","year":2024},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.598955Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:d614c5c17c97d6c96385a086a43a5553d5a7c2e75c06df8a32662b15b452c586","observation_id":"e093db2d-8d92-4c31-9550-e885b3365c79","resolution":{"observed_at":"2026-08-06T23:27:47.281175Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.250563Z","title":null,"venue":null,"work_id":"0332f4a1-1d51-48ce-aed4-8a02c2e34378","year":2025},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.604483Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:9b67bc5dc6d71c5d1ee42cc3798e735db2afb2961f5e5a4fb9d324ba691cf7f8","observation_id":"2448abc2-3c84-4409-830b-c6dc064d7b3b","resolution":{"observed_at":"2026-08-06T23:27:47.256825Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.232032Z","title":null,"venue":null,"work_id":"60f45f43-47fc-48e6-bb9e-3b1fa4400fde","year":2021},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.611301Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:83ffbb4b691e062b803bf5949245fa230aa310c7897cc8457413d81d473bd020","observation_id":"f6f5f886-3609-4dba-a144-9d6311c25fe2","resolution":{"observed_at":"2026-08-06T23:27:47.237774Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.208800Z","title":null,"venue":null,"work_id":"43846210-2495-4c05-940e-2530024acbab","year":2023},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.618817Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:2ebf1d45d0d611b77e13404cd158b9cf12cf59359ede3bff862361658aaeb712","observation_id":"ca238b73-27e9-46d0-bdc7-dfa961671117","resolution":{"observed_at":"2026-08-06T23:27:47.215151Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.188838Z","title":null,"venue":null,"work_id":"2115cacd-3e5b-4c64-a9bc-73fa4c764fa4","year":2013},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.624323Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:eba049bed57b377cb5dcadf1e2f8e39b216a6fc4fea5c90aefcf517620f55580","observation_id":"ed1bb2d6-878c-4d2e-b151-a0f1100b24e6","resolution":{"observed_at":"2026-08-06T23:27:47.194558Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:46.629585Z","title":"Meinzer, W","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.629585Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:4be291a470bf95f2fa02fecfe0dab0571158f78b89a2ecb465b94bb37400a5f9","observation_id":"fba06e01-12ad-4af3-a415-eaa7d5f91abc","resolution":{"observed_at":"2026-08-06T23:27:46.629585Z","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":"2026-08-06T23:27:47.152263Z","title":null,"venue":null,"work_id":"15adea03-5035-4f64-b1a4-20ea9ae4a34f","year":2024},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.634596Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:b1031d04ea4ea55b54c3c8b9c0d013cb81a3be3bd68b2fc91be4cb8aef792537","observation_id":"d81bacfd-584d-4843-9db0-fddf6ab21679","resolution":{"observed_at":"2026-08-06T23:27:47.158027Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.130183Z","title":null,"venue":null,"work_id":"88b1bfa2-5597-47ee-94a5-6d3ba2a8ac42","year":2022},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.639464Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:2f6150a91785bf1c5215e78a623fad4e64a00ae1aadc11d8db23acf7be0f4f90","observation_id":"1df83873-933a-4e66-8299-855db411e314","resolution":{"observed_at":"2026-08-06T23:27:47.137188Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.110717Z","title":null,"venue":null,"work_id":"aba01765-307b-4fa3-acd6-6f43bd774580","year":2011},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.645437Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:7b5a1e779a24e65ce8b1e42dd1dab42c1609fbe662c86e6bd9ec30bd8641ab2c","observation_id":"f6ae132e-b679-4ee1-b205-7dd3e283892d","resolution":{"observed_at":"2026-08-06T23:27:47.117497Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.092186Z","title":null,"venue":null,"work_id":"d180aec9-1bcc-40a6-b8e2-b5287146f78c","year":2018},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.650745Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:fb051f764678b1f63529c66e8d25fd316fbd4a0c75b4aa1d388e9c8c8b7b02c2","observation_id":"dbf8616f-77af-4177-a124-b9d28d572cfc","resolution":{"observed_at":"2026-08-06T23:27:47.098659Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.068364Z","title":null,"venue":null,"work_id":"3fd891d7-e906-4fd5-9a56-000fa7594fb6","year":2024},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.657220Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:8c844abc7233cce5fbd356ced127a114476dc3168d59b2e9095c2f72010c51ca","observation_id":"c7c062df-3901-48a5-8149-bde1bf9f2256","resolution":{"observed_at":"2026-08-06T23:27:47.074376Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.039809Z","title":"Badloe, S","venue":null,"work_id":"6c61484e-c89c-450d-811a-e8903fcd5aab","year":2022},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.664004Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:b3d24d3a5d2dff37c57c286c22e7d23912b39266a6b2be2b1a90938e2665de44","observation_id":"275e5f32-bb14-45f7-892f-f03802598a26","resolution":{"observed_at":"2026-08-06T23:27:47.046825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.022308Z","title":null,"venue":null,"work_id":"0b1844a2-20d5-46d3-8e69-689ad9b32b3e","year":2022},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.669665Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:96d1fd29c58ca28a04d26b3b643d33293e8f81eab1081f1bb7e5b762bb764b6f","observation_id":"39eaaf59-4615-41bc-83fa-ee8c12b99beb","resolution":{"observed_at":"2026-08-06T23:27:47.027363Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:47.004444Z","title":null,"venue":null,"work_id":"2282c8f7-a073-43a6-bed0-6a22803b1066","year":2021},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.675636Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:35379de97cd3a3c740cb7d398c4e0ef8e4adc4e952b536803ae02bb18215fd10","observation_id":"17ab16ef-3665-4dfc-af5f-cd8ace2f9617","resolution":{"observed_at":"2026-08-06T23:27:47.009732Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:46.985559Z","title":null,"venue":null,"work_id":"deff88b6-1853-43e8-ba10-23149922aa01","year":2024},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.681464Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:fdd554683fe738ffc6631128af58bd082931522b0aad231c463c0b24c50b9c2e","observation_id":"421af579-4024-4feb-8a26-a05ef450e93e","resolution":{"observed_at":"2026-08-06T23:27:46.991910Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:46.966188Z","title":null,"venue":null,"work_id":"97dfc1ad-0d71-47f5-890a-31dae0c5175f","year":2021},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.686584Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:9b404145a43038f9c6f0841ca4433f4445176272d80ae3daa69c7d8c12ed4ea5","observation_id":"910ee784-0be6-4d6e-9245-7d8085eec0cb","resolution":{"observed_at":"2026-08-06T23:27:46.972042Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:46.944425Z","title":null,"venue":null,"work_id":"395dfa83-8267-4a7d-93f6-500667de1cec","year":2025},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.692436Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:4c442e4dd72c14d54bb40124601d0fee946c9e48592ddf93ef9e7a50522eebe1","observation_id":"d0f34674-56f9-451d-af3e-c2a292dc2217","resolution":{"observed_at":"2026-08-06T23:27:46.950101Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:46.922702Z","title":null,"venue":null,"work_id":"83782471-dbef-47c0-b2ad-ac0fbc2eba2f","year":2022},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.699009Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:608d397acc47ae80e701d98771bbc92efe7c4d8940476fb10eeec9521f607f8f","observation_id":"3aac87e1-6f13-40e9-92fe-8f830feea52d","resolution":{"observed_at":"2026-08-06T23:27:46.930502Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:46.905821Z","title":"Lecun, L","venue":null,"work_id":"f14b823b-8c7d-42cd-b820-012f7bf6b23a","year":1998},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.705409Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:14faf7ca2b6dd985cecb22399e35195020ca88805aeaed17837459b6ada2515f","observation_id":"ffb2b27a-5031-45ff-b092-25aaa1787919","resolution":{"observed_at":"2026-08-06T23:27:46.910902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1708.07747","last_updated":"2017-09-15T21:29:49Z","snapshot_observed_at":"2026-07-06T05:56:41.814255Z","submitted_at":"2017-08-25T14:01:29Z","title":"Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.07747","snapshot_observed_at":"2026-08-06T23:27:46.711483Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.711483Z"},"links":{"cited_paper":"/paper/1708.07747","citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:bd6cc40081c3fdec802e4cd66681c0c6d787e75d27401c50e33f31d749418245","observation_id":"e1fa7635-96a9-4a87-81da-aaa67607dbce","resolution":{"observed_at":"2026-08-06T23:27:46.711483Z","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":"2026-08-06T23:27:46.884276Z","title":null,"venue":null,"work_id":"67b44b7f-607b-475a-86cc-9fc3d30df3be","year":2005},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.718602Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:45aa1a35b1f72c5375ec8cc2b06ea7a3562fd714c15fbbd6eaf60924f262b47d","observation_id":"6ccba2c2-0625-457b-867f-b6e29d913ace","resolution":{"observed_at":"2026-08-06T23:27:46.891218Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:46.861383Z","title":null,"venue":null,"work_id":"ca21d849-6d4f-475d-8ceb-327824434cc4","year":1984},"citing_paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:46.726025Z"},"links":{"citing_paper":"/paper/2506.18242"},"observation_digest":"sha256:e2785d72282da046bffc46189ed482fad9250f06b47f01df19549f1400e57a80","observation_id":"93740167-59f6-4e3b-8b98-b241d9877bc7","resolution":{"observed_at":"2026-08-06T23:27:46.871505Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}}],"paper":{"arxiv_id":"2506.18242","last_updated":"2025-06-23T02:17:43Z","latest_version":1,"primary_category":"physics.app-ph","snapshot_observed_at":"2026-08-07T22:38:47.037459Z","submitted_at":"2025-06-23T02:17:43Z","title":"Metasurface-empowered freely-arrangeable multi-task diffractive neural networks with weighted training"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":35,"verified_exact":1,"verified_fuzzy":12},"total_outbound_references":48},"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 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2506.18242."}