{"as_of":"2026-08-07T23:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:774765d64cf7f9feb46bdae7602a04d839640ed066ff794d036d7e209285336f","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T22:22:06.903857Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-09T20:11:01.105767Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T15:21:09.583418Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"cited_work":{"arxiv_id":"2509.07396","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2509.07396","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Toward lifelong-sustainable electronic- photonic ai systems via extreme efficiency, reconfigurability, and ro- bustness","venue":null,"work_id":"4d588c85-625c-41a5-b44d-82b77bc88a8a","year":2025},"citing_paper":{"arxiv_id":"2605.00032","last_updated":"2026-04-24T04:45:04Z","snapshot_observed_at":"2026-07-06T23:13:33.799847Z","submitted_at":"2026-04-24T04:45:04Z","title":"ROSA: Robust and Energy-Efficient Microring-Based Optical Neural Networks via Optical Shift-and-Add and Layer-Wise Hybrid Mapping","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-09T20:11:01.105767Z"},"links":{"cited_paper":"/paper/2509.07396","citing_paper":"/paper/2605.00032"},"observation_digest":"sha256:4c81fda731ecf2308b77f502cede2b23be9f2b47e50f5eb47bd10d0f3e5bd878","observation_id":"d6dee5b9-0f69-43fb-8889-63642fcee773","resolution":{"observed_at":"2026-05-11T15:21:09.587009Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2509.07396/citation-record","integrity":"/paper/2509.07396/integrity","json":"/paper/2509.07396/citation-record.json","paper":"/paper/2509.07396"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T22:22:11.892923Z","title":"Tackling AI’s Climate Change Problem,","venue":null,"work_id":"cf7bb369-905b-4837-bc24-ef6447b57dfa","year":2023},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.710132Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:795215c57a2bb6f3d52db171676e3c5d8c2ab0e4a60b009a9d21de23f49ebe73","observation_id":"1fc63ed9-ca47-4fdb-af2f-acc1d43200eb","resolution":{"observed_at":"2026-08-04T22:22:11.977050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:11.666139Z","title":"The real climate and transformative impact of ICT: A critique of estimates, trends, and regulations,","venue":null,"work_id":"db93c6a4-0830-4925-acef-2b8a389e4b94","year":2021},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.715409Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:9185c4b80343f9a83c467813758a4b0de49d55a44213ba0bf6fde64aa5bc5b0d","observation_id":"0ffbdbae-df5c-42f4-88aa-ad502f9231a1","resolution":{"observed_at":"2026-08-04T22:22:11.780454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:11.395230Z","title":"ECO-CHIP: Estimation of Carbon Footprint of Chiplet-based Architectures for Sustainable VLSI,","venue":null,"work_id":"a4b663ee-5a22-41a4-93ae-e6fa5c20b52f","year":2024},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.720312Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:ff5f93e5353eee5c564ad3a19303e2e6cd579546fc422fde6a83fd96305925f6","observation_id":"311110fc-0e31-4ebb-afd0-926873166786","resolution":{"observed_at":"2026-08-04T22:22:11.523848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:11.134382Z","title":"DTCO including sustainability: Power-performance-area-cost-environmental score (PPACE) analysis for logic technologies,","venue":null,"work_id":"812853e9-08ec-4df3-8bcd-e7cd52792628","year":2020},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.725048Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:0aef712858eaaf1ecb5eb0c93641260402ccac6aa13a0d65edf99801f62596f2","observation_id":"45c0e8c4-98e4-4cd8-b0bc-73c9bbc4f320","resolution":{"observed_at":"2026-08-04T22:22:11.276239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:10.921323Z","title":"ACT: Designing sustainable computer systems with an architectural carbon modeling tool,","venue":null,"work_id":"4ac6e4d8-8a00-4255-be19-b7a4828883e0","year":2022},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.729715Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:d04c8a7e0990807ec33e805be8dff3ee27b1298699d091ff71d4ed0b120a91ae","observation_id":"1687f82e-5fc3-4b51-b694-57d6fa84dc86","resolution":{"observed_at":"2026-08-04T22:22:11.015498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:10.723550Z","title":"Deep learning with coherent nanophotonic circuits,","venue":null,"work_id":"d4f9f5ce-4c10-4350-9a5d-39b754cc5a4b","year":2017},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.733938Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:e015c9766b71dfbba26e1c7a5827d5e2df3d8fafa46559a683df21c6d21adce7","observation_id":"0a2ca76e-cfc8-4b6b-a50b-4a63f935b912","resolution":{"observed_at":"2026-08-04T22:22:10.829228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:10.405794Z","title":"Inference in artificial intelligence with deep optics and photonics,","venue":null,"work_id":"1ea46b86-1370-4986-919c-4ad1ff0e8355","year":2020},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.739001Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:4f79f60b0a02fa100c0770e7a4f66756c28779a0098fe92d2b68fa9d47f0b6df","observation_id":"8eade95b-1bdf-4fd7-a763-35d9ea20fffc","resolution":{"observed_at":"2026-08-04T22:22:10.646326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:09.996116Z","title":"Photonics for Artificial Intelligence and Neuromorphic Computing,","venue":null,"work_id":"5346869b-83dd-46a2-937f-c32a14f25875","year":2021},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.743048Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:6d0fc82486dd2b0ddb243c4de7a2ec15dab3a597c5c576ee3b824c702b092956","observation_id":"e4325667-c1ca-486f-b050-6ac223a18739","resolution":{"observed_at":"2026-08-04T22:22:10.168696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:09.700189Z","title":"11 TOPS photonic convolutional accelerator for optical neural networks,","venue":null,"work_id":"ade0ed9f-9722-4b2f-b40f-8486db30f5ac","year":2021},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.747210Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:e66115602d48b0f60e17d05b8169c88d7b1c0a04f8517244269ce75139545497","observation_id":"ae9981ca-85be-4dc1-bf1b-d036368ebd06","resolution":{"observed_at":"2026-08-04T22:22:09.830722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:09.433388Z","title":"Parallel convolutional processing using an integrated photonic tensor core,","venue":null,"work_id":"16e770eb-6a8d-4b8e-9fdd-e9864f4292ce","year":2021},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.751745Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:a080681028cdcc4231c7da97f8a0f67188887eb3ec790e88990dfaee13ab4baa","observation_id":"4f07b882-532d-4645-b9e4-8349da90326c","resolution":{"observed_at":"2026-08-04T22:22:09.570788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:09.273816Z","title":"Hardware-efficient photonic tensor core: acceler- ating deep neural networks with structured compression,","venue":null,"work_id":"04f5be9f-1b23-4daf-a1bc-c7595342f727","year":2025},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.755801Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:9f6b0a87e62b3f1ebaacfe55fa90561be6ac4a5d0d0c000d209f57b9a294846e","observation_id":"388fda3d-5704-4809-8c8c-cd1d41b59465","resolution":{"observed_at":"2026-08-04T22:22:09.345944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:09.094439Z","title":"Photonic-electronic integrated circuits for high-performance computing and ai accelerators,","venue":null,"work_id":"294cd47b-b27e-417e-9f4d-3afe184048f6","year":2024},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.760208Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:76c75e957e2a4d6937526b4ff264d02dded880225672ed72022e0ebc89c9fadb","observation_id":"43d28b25-45f4-40d1-ad2a-21323ca21ba6","resolution":{"observed_at":"2026-08-04T22:22:09.155215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:08.874305Z","title":"Analog optical computer for ai inference and combinatorial optimization,","venue":null,"work_id":"a53637b0-9c6b-40a6-8d6d-124de1712ae5","year":2025},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.764878Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:6eb436a6e22edf014cea7bd3590f2e098b1353c1f5dd137cfcad39e8c7680b36","observation_id":"c36dc182-0c0c-47e2-9f86-cbded651ef15","resolution":{"observed_at":"2026-08-04T22:22:08.979324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:08.684649Z","title":"An integrated large-scale photonic accelerator with ultralow latency,","venue":null,"work_id":"bb4649f9-493a-4952-a965-be3197327773","year":2025},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.769238Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:f4a2b88b796b22975b726353c0d245ffb8cc10422fb01344660df9fa7b89cac9","observation_id":"45ce544a-c251-4997-9064-9c3b9abfe0f9","resolution":{"observed_at":"2026-08-04T22:22:08.752129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:08.478639Z","title":"Universal photonic artificial intelligence acceleration,","venue":null,"work_id":"9429c976-ac12-487b-a9df-d0a9468b259f","year":2025},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.773317Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:983acf878b780e54273a1d99d17fed929eef892f52bdfcce89c664b71fc61047","observation_id":"e9d7e85e-bf78-4a5c-b582-8e222b86757b","resolution":{"observed_at":"2026-08-04T22:22:08.572272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01433","last_updated":"2023-04-20T22:25:51Z","snapshot_observed_at":"2026-07-06T15:11:43.266427Z","submitted_at":"2023-04-04T00:52:46Z","title":"TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.01433","snapshot_observed_at":"2026-08-04T22:22:06.777578Z","title":"TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Em- beddings,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.777578Z"},"links":{"cited_paper":"/paper/2304.01433","citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:2ca7a2f57bc36df83237a52d7da4f4656d8644ac28ae90ffa97c849b13baf77e","observation_id":"8fee8b54-0805-46a9-9005-d92ed78fc734","resolution":{"observed_at":"2026-08-04T22:22:06.777578Z","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":"2026-08-04T22:22:08.288665Z","title":"Chapter 18 - optical interconnection networks for high-performance systems,","venue":null,"work_id":"17c842e0-d8b7-4590-937b-754fa79d0772","year":2020},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.782251Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:0b414efaecff5233b7bf02aa6b545e6940674968edd8296b796b427a0c54bca9","observation_id":"3272e4cc-285a-4d28-b2e5-fa1b35b248cb","resolution":{"observed_at":"2026-08-04T22:22:08.394689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.05121","last_updated":"2024-01-10T12:37:23Z","snapshot_observed_at":"2026-08-07T06:50:22.767665Z","submitted_at":"2024-01-10T12:37:23Z","title":"Photonics for Sustainable Computing","version":1},"cited_work":{"arxiv_id":"2401.05121","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.05121","snapshot_observed_at":"2026-08-04T22:22:06.994909Z","title":"Photonics for Sustainable Computing","venue":"cs.ET","work_id":"3770ef7f-6d8b-4a1f-99d8-2584f85f40b7","year":2024},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.786402Z"},"links":{"cited_paper":"/paper/2401.05121","citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:8c80880c476fcd90713a3b627eb9d27329117b0d98ff65d55d4bb49c6c06f1ea","observation_id":"4f4aea0b-e35f-42bf-a9f5-0025cc23e655","resolution":{"observed_at":"2026-08-04T22:22:07.001998Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:08.085691Z","title":"SCATTER: Algorithm-Circuit Co-Sparse Pho- tonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution,","venue":null,"work_id":"47427896-a820-469b-8c1f-55d9a0a34c06","year":2024},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.790838Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:ab2ff16115ad1c385d60a2170e952909426646c781c7f4cbc4e2a134e07275ce","observation_id":"53b62871-a09d-455f-aae9-dbeb9d222b09","resolution":{"observed_at":"2026-08-04T22:22:08.174662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.758198Z","title":"Lightening-transformer: A dynamically-operated photonic tensor core for energy-efficient transformer accelerator,","venue":null,"work_id":"f9ef38a3-1d1d-4f4b-8b37-9b42c2a2d000","year":2024},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.795668Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:9cc59ce8140be7c4f54f1dcc54be6825f00f7703c8ea8f56bd0b17f8b65c58df","observation_id":"a8c283e1-2eeb-49e2-bf69-0b185f606638","resolution":{"observed_at":"2026-08-04T22:22:07.859472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.527481Z","title":"TeMPO: Efficient Time-Multiplexed Dy- namic Photonic Tensor Core for Edge AI with Compact Slow-Light Electro-Optic Modulator,","venue":null,"work_id":"194381fb-41ea-4295-a045-4c6e045383d8","year":2024},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.800140Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:324d6440f79bcd97180161e2e1d96c9d643709924dd3ac0f5232ffa881d7d62d","observation_id":"f29a9c74-7386-43d1-b0a4-68c8a8117d8c","resolution":{"observed_at":"2026-08-04T22:22:07.638683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.434009Z","title":"CHORD: Composable Hybrid Optical Re- configurable Diffractive Framework For Optical Neural Network,","venue":null,"work_id":"99e02d27-6649-4761-ab57-21bfeede688f","year":2025},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.804275Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:49ec10ecbf3cffdb40d52bbe687ad44c32c21232c87c7dd4f00520b444f9b7a4","observation_id":"46c20d9a-9d2d-4b81-8b09-be755fdfdd49","resolution":{"observed_at":"2026-08-04T22:22:07.447223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.398230Z","title":"Fourier-space diffractive deep neural network,","venue":null,"work_id":"e106d036-9d42-4255-9182-6ea36d50da1b","year":2019},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.808287Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:39340429a92f3253027283ffd717e88118ad5b8d3108c94864fd4abba92c93d6","observation_id":"0e03fd5d-b13c-4028-97c7-4e7b021df3d2","resolution":{"observed_at":"2026-08-04T22:22:07.414150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.365758Z","title":"Spatially varying nanophotonic neural networks,","venue":null,"work_id":"c7d11c5c-6082-4879-9a1f-f21fbd92eff4","year":2023},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.812813Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:38ea70e27a96219a9d65449484fbcd01b5b907f01978a75f0c200c5bcb95c26e","observation_id":"2fad8b15-8504-411e-8426-4ac16a8331b9","resolution":{"observed_at":"2026-08-04T22:22:07.377222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.332832Z","title":"Dynamically reconfigurable all-optical neural network based on a hybrid graphene metasurface array,","venue":null,"work_id":"94a59b07-9d71-4b1a-945c-c27249667b1e","year":2024},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.817270Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:1f72c0ec0c5dbf177d0b5ab1eab72ed2e48a794136be921e9330ee3551101fbc","observation_id":"f76e582e-fb0c-4152-b994-5580e26849cb","resolution":{"observed_at":"2026-08-04T22:22:07.342397Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.308988Z","title":"Diffractive deep neural networks at visible wavelengths,","venue":null,"work_id":"515eaf9f-5ceb-47d3-aa4e-fdd2a025a48a","year":2021},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.821528Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:a1ba72d5ca2a49b0ba667814a10b90f235e71ac11b0c6077405930446449548b","observation_id":"75f21946-443f-40cc-bb52-0de4a533d4f1","resolution":{"observed_at":"2026-08-04T22:22:07.317321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.290867Z","title":"All-optical machine learning using diffractive deep neural networks,","venue":null,"work_id":"36379b89-a9e4-48eb-ac50-06b4dc759f07","year":2018},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.825934Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:ee6ad7adab66fe7b1e367d42df15f3b5144f61e7fa5ea559e2f176038e3bc508","observation_id":"e03f335a-1256-46c2-a3e7-e341764fc0e5","resolution":{"observed_at":"2026-08-04T22:22:07.296406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.10360","last_updated":"2023-02-20T23:30:23Z","snapshot_observed_at":"2026-07-06T14:53:56.858354Z","submitted_at":"2023-02-20T23:30:23Z","title":"Optical Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.10360","snapshot_observed_at":"2026-08-04T22:22:06.830276Z","title":"Optical transformers,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.830276Z"},"links":{"cited_paper":"/paper/2302.10360","citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:7cfc3d460cdf7ca259d42742e91f4d5ad710a0bcb49f75ec4e3093a7161c5126","observation_id":"b56f2b72-b3f1-4b24-a442-ff66c365b8d7","resolution":{"observed_at":"2026-08-04T22:22:06.830276Z","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":"2026-08-04T22:22:07.273330Z","title":"Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks,","venue":null,"work_id":"adc4a6cc-db89-4614-8158-2835938f7210","year":2017},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.835668Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:9cb2148b5817c454229101bb26512960664c6712d154d295da206fae0be675a1","observation_id":"a5da3bd3-0dc7-47db-8fbf-4ea45e819662","resolution":{"observed_at":"2026-08-04T22:22:07.279196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.256560Z","title":"Eyeriss v2: A flexible accelerator for emerging deep neural networks on mobile devices,","venue":null,"work_id":"561248b0-dc60-4a92-acbe-77377c840793","year":2019},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.840587Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:b622d5b053f869acf533acce447f09f29ae6d5b19d59b4ea04f6d8a94b2491fe","observation_id":"3d4f16fd-abd1-4667-92b4-725307ba183c","resolution":{"observed_at":"2026-08-04T22:22:07.262337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.238545Z","title":"A 28nm physics computing unit supporting emerging physics-informed neural network and finite element method for real-time scientific computing on edge devices,","venue":null,"work_id":"fd87cfa7-48f9-4c84-a454-6050f260b24b","year":2024},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.845240Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:505c8a82e914e1d939c8560356922b8e29543876943327cf7f3032891e3f6182","observation_id":"a27dfbc5-7bfd-4d11-b1e3-ee5e8c030859","resolution":{"observed_at":"2026-08-04T22:22:07.245082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.221242Z","title":"Trancim: Full-digital bitline-transpose cim- based sparse transformer accelerator with pipeline/parallel reconfigurable modes,","venue":null,"work_id":"77cedfff-461a-482a-b60a-eb130e2a7787","year":2023},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.849456Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:96e32436832f3d715ca29b8da87732cecdba61a07ea3e3434a41a03da6598710","observation_id":"a4141005-24e5-44c3-9bda-127caaac36e4","resolution":{"observed_at":"2026-08-04T22:22:07.227100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.204140Z","title":"Nvidia h100 tensor core gpu ar- chitecture,","venue":null,"work_id":"ff892755-d481-4cb1-afc6-82d867e9eb78","year":2022},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.853448Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:932faa43996ee12022e6a9d0f7d579f36da6b5621a5fc2cf1f000003d0b89cbd","observation_id":"ee169a7b-c8fa-46ce-bd95-e58c30bbb91a","resolution":{"observed_at":"2026-08-04T22:22:07.210306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.187352Z","title":"Nvidia h100 pcie gpu — product brief,","venue":null,"work_id":"f2d4a3a8-a620-4908-99e4-028392038340","year":2022},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.857871Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:9685f5a0a6de326698522df5dc5a673045fc8408db4766745ff4f3e7bdd9650f","observation_id":"c65f8184-259f-4e3a-8131-89cd02d0b5d0","resolution":{"observed_at":"2026-08-04T22:22:07.192758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.170155Z","title":"CHORD: Composable Hybrid Optical Re- configurable Diffractive Framework For Optical Neural Network,","venue":null,"work_id":"60759f2f-3f7f-4bed-8851-43689cf3b468","year":2025},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.862345Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:eb753b32dfe23cb3e435c027f04ceff8a530b25b00303965385a51e0c5bb8e5c","observation_id":"37bfe6bc-7fb6-47ba-88e2-e34467212aca","resolution":{"observed_at":"2026-08-04T22:22:07.175734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.152624Z","title":"L2ight: Enabling On-Chip Learning for Opti- cal Neural Networks via Efficient in-situ Subspace Optimization,","venue":null,"work_id":"ab1582f9-d328-4335-bde1-e5688c12e099","year":2021},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.866724Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:12cfdf62cc70a910f859af40bb11e4e6c72d1f648d69b3f849cb516d6f1338b5","observation_id":"07c9cb40-5bd6-4dd2-acaa-ad716e9d355a","resolution":{"observed_at":"2026-08-04T22:22:07.158142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.135795Z","title":"Doctor: Dynamic on-chip temporal variation remediation toward self-corrected photonic tensor accelerators,","venue":null,"work_id":"d1bbafb9-c9fa-49dc-81c5-d8702b275730","year":2024},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.871235Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:e19e582c72bc61ebb9b07dc9eb2834d2123d89678eae4fa45c0bf1e4c3de451a","observation_id":"397e3530-a71b-4c40-b9bd-551cd6049a70","resolution":{"observed_at":"2026-08-04T22:22:07.141510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.118457Z","title":"ELight: Towards Efficient and Aging-Resilient Photonic In-Memory Neurocomputing,","venue":null,"work_id":"61cc6ca2-639a-4fb1-b874-df574f7d036a","year":2022},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.875748Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:d32c8119435749cdf9fb408db75389bc0d05be9adff087baa35d30dbd052d04f","observation_id":"18a7f9f8-150c-4898-bc2a-07eef1d7a273","resolution":{"observed_at":"2026-08-04T22:22:07.123936Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.100091Z","title":"DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement,","venue":null,"work_id":"a809396e-e856-4ba5-9153-4e9c8bb149ff","year":2020},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.880090Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:a80fd0001373ee96553b1dc751e27f0b606a93493322604a8e0a92ae97300f09","observation_id":"e6451a16-2d85-4fa4-823d-878dea6710ad","resolution":{"observed_at":"2026-08-04T22:22:07.105437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.082968Z","title":"Apollo: Automated routing-informed placement for large-scale photonic integrated circuits,","venue":null,"work_id":"9fd1810e-cd92-4129-b0a6-de4fe29a429f","year":2025},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.885071Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:b1fae5290407c64ee1f2dc51edb3328f072ded9a8bcbc62148313fa58c565ccb","observation_id":"7f4ccd60-5287-4c56-9180-5db8215a9cdb","resolution":{"observed_at":"2026-08-04T22:22:07.088219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.066970Z","title":"LiDAR: Automated Curvy Waveguide Detailed Routing for Large-Scale Photonic Integrated Circuits,","venue":null,"work_id":"d65470eb-e1b0-42a4-bed9-843c470a9328","year":2025},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.890132Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:86502e5f6c9bd1bc1ce476678012ce7c0f3912a40c694c565c5cdd645ac55a59","observation_id":"bced0ab5-618f-4a9a-8443-f5ef60c35308","resolution":{"observed_at":"2026-08-04T22:22:07.071833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2505.17239","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T22:22:06.947047Z","title":"LiDAR 2.0: Hierarchical Curvy Waveguide Detailed Routing for Large-Scale Photonic Integrated Circuits,","venue":null,"work_id":"854f3f91-ff12-465f-8282-9df72c58a1a9","year":2025},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.894695Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:1239f04fe3ad4d9410bb63ac17710b2274d9a8ee99c401e2ca2fab0cdbc11b07","observation_id":"6cd6ad63-1c22-43a7-8ac2-29d30052e881","resolution":{"observed_at":"2026-08-04T22:22:06.958062Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.051286Z","title":"Beyond the surface: The necessity for detailed metrics in corporate sustainability reports,","venue":null,"work_id":"d8d799d7-d197-46f5-8650-974f5bf5674a","year":2024},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.899084Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:c9b91e23340eff5e0b80a4b42b9439d42095686e5be6ab1bb8a6266f57e44acf","observation_id":"c146c467-1d20-41b9-8fd5-06b2f7e0ef21","resolution":{"observed_at":"2026-08-04T22:22:07.056235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-04T22:22:07.033853Z","title":"Adept: Automatic differentiable design of photonic tensor cores,","venue":null,"work_id":"a851abb4-261c-42c0-b505-ad297ca98a19","year":2022},"citing_paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:06.903857Z"},"links":{"citing_paper":"/paper/2509.07396"},"observation_digest":"sha256:dc250ba09f1186cfb7bbc5d405ff745c16b53c5810695a12f291a23f2fa02301","observation_id":"8ba175ec-ad50-4702-9289-6ffe9d626119","resolution":{"observed_at":"2026-08-04T22:22:07.038918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.07396","last_updated":"2025-09-09T05:20:55Z","latest_version":1,"primary_category":"physics.optics","snapshot_observed_at":"2026-08-07T05:31:19.594092Z","submitted_at":"2025-09-09T05:20:55Z","title":"Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":2,"verified_fuzzy":40},"total_outbound_references":44},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2509.07396."}