{"as_of":"2026-08-18T20:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0f9f3a0c28944c79ce47eebd84cab3ed7dae87814b248d1ad06c6279163b1166","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T18:06:18.808527Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2507.19041/citation-record","integrity":"/paper/2507.19041/integrity","json":"/paper/2507.19041/citation-record.json","paper":"/paper/2507.19041"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:19.159986Z","title":"Quantum machine learning,","venue":null,"work_id":"9c385d8a-380f-4d5a-aab9-f00aac288a90","year":2017},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.702085Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:f916dd3c109638c290b6bed776c7b59672fde2c72b9cffa8d8941883665dba90","observation_id":"76c6faf7-fe30-4a3c-a060-255b7f30f293","resolution":{"observed_at":"2026-08-15T18:06:19.164095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:19.148972Z","title":"Generalization in quantum machine learning from few training data,","venue":null,"work_id":"58aa9685-db36-4892-ba4b-ca06795900fc","year":2022},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.706430Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:ec6572b2411fea99b5e0c3402fe11fe52d339c3b87b42de79102ae91e874e9c4","observation_id":"a98bb715-43e1-4e51-b9bd-52949f4b7a42","resolution":{"observed_at":"2026-08-15T18:06:19.152856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:19.137231Z","title":"Challenges and opportunities in quan- tum machine learning,","venue":null,"work_id":"b12bf4bb-ab65-4efa-a2ff-c84b633f7155","year":2022},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.710360Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:087728a349ad47299c7c7aa6ce651bada6101ebda3b93f355a08ceb71a24d331","observation_id":"b45c7793-9a5e-4b85-b649-93360924ef62","resolution":{"observed_at":"2026-08-15T18:06:19.141389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:19.125711Z","title":"Understanding quantum machine learning also requires rethinking generalization,","venue":null,"work_id":"1580a4ac-86d1-4ba6-8677-69a1401e8b3b","year":2024},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.714109Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:81d11d34c921165fa9f6378ae48818454027b261a05fbd9e6a5ac0a914bacc7d","observation_id":"bd497566-11c7-4992-a680-2e82a0004a8b","resolution":{"observed_at":"2026-08-15T18:06:19.129544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:19.114464Z","title":"Attention is all you need,","venue":null,"work_id":"6ff8f801-3997-4753-adeb-f8eb15c89202","year":2017},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.718455Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:a4c55351fd9d5e77b970268c48f81c8cb609ee968b7346e4640755949165d4e3","observation_id":"49037114-d812-4c24-a979-d58e6266141b","resolution":{"observed_at":"2026-08-15T18:06:19.117999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:19.103656Z","title":"Visualizing and understanding patch inter ac- tions in vision Transformer,","venue":null,"work_id":"c88f44cc-5101-4f2f-972f-2e1a0f4adf13","year":2023},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.722131Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:d411f5a6807732f4ca994370fe1b80f6e08c50632145915cc5fd0b6d6c7c04db","observation_id":"ffff8e17-e54f-4f1c-b20d-d6ce3ec535eb","resolution":{"observed_at":"2026-08-15T18:06:19.107342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:19.092892Z","title":"A vision Transformer model for convolution-free multilabel classification of satellite i m- agery in deforestation monitoring,","venue":null,"work_id":"ce67baea-0bbf-4a4e-8d18-2192eff11eef","year":2023},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.725985Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:5a11c7c0cea786a7581197dab10a8d8391992d1e5f2bc4347677449fdfed7fef","observation_id":"ec8e339e-729c-4b4b-abe2-b12c49a13fa0","resolution":{"observed_at":"2026-08-15T18:06:19.096845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:19.082336Z","title":"AAformer: Auto-aligned Transformer for person re-identification,","venue":null,"work_id":"91f5d0e3-8b94-4570-9840-7f374ec013d8","year":2023},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.729435Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:57e3b8c22513018745404d7c03d4452f7609f784b566977914a510fa83307a95","observation_id":"607f11e4-e865-4b76-a0a3-7037d7dd66bb","resolution":{"observed_at":"2026-08-15T18:06:19.086000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:19.071636Z","title":"Pruning self-attentions into convolution al layers in single path,","venue":null,"work_id":"9b17422b-6794-4f18-a9cb-5d3cdf1dff23","year":2024},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.732873Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:2c2e10ea1b2eaa1a3d8e4e4bb141c95ce5a22afcf7dc0ac765a3fe525d41d4c9","observation_id":"8fd763d3-6f76-4fe8-8cf6-13b097f94967","resolution":{"observed_at":"2026-08-15T18:06:19.075262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:19.059806Z","title":"Transformer-based visual segmentation: A survey,","venue":null,"work_id":"e28edbc4-d673-4be0-845a-d2fb96c9ac9c","year":2024},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.736428Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:35269b18a14794379683becf856281982cd49a207dc255cded547c4b8cf51fc8","observation_id":"03fed2c0-5bb8-4804-be2a-d37010a64ebe","resolution":{"observed_at":"2026-08-15T18:06:19.064100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:19.049000Z","title":"Transformer dissection: A n unified understanding for Transformer’s attention via the lens of kernel,","venue":null,"work_id":"ac4856ae-8323-4e6e-9603-d80905012ca4","year":2019},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.739795Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:96956ded03193637af453fbaa189bad34eeff2dc132de5fb9d699fc5eeae4fe3","observation_id":"ff281156-0dfb-45da-a36f-2d18453a1657","resolution":{"observed_at":"2026-08-15T18:06:19.052925Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:19.038294Z","title":"Skyformer: Remodel self-attention wit h Gaussian kernel and Nystr¨ om method,","venue":null,"work_id":"c982f888-d9d9-4656-b7f2-0b0e816947c2","year":2021},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.743246Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:4bd6a69e6b5d58c291ec5419c9a144d290b104368c16512c2eaa5b0284c50efc","observation_id":"812a5f23-bc21-4832-a56b-5e375040958b","resolution":{"observed_at":"2026-08-15T18:06:19.042130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:19.027078Z","title":"SOFT: Softmax-free Transformer with linear complexity,","venue":null,"work_id":"b742662f-0470-4ba7-93f0-bad20b987b9d","year":2021},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.746670Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:fb541a94f76a4448a31e921a5d3423f2730d34504cc8685b0925416c6fd8f607","observation_id":"70d08b8e-3a6e-4aab-a503-3abecb2185e8","resolution":{"observed_at":"2026-08-15T18:06:19.030643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:19.016572Z","title":"Gaussian kernelized self-attent ion for long sequence data and its application to CTC-based speech recognition,","venue":null,"work_id":"4b5979e1-2b59-4ee0-b78e-23a763e55381","year":2021},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.750234Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:876bfcc58f7f0e1327189000b506dabb3f54d28d59c9583575faf31417ed2a5e","observation_id":"df07710b-cc97-4f4c-a685-26ae1514788f","resolution":{"observed_at":"2026-08-15T18:06:19.020123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:19.005892Z","title":"Photonic computing to accelerate da ta processing in wireless communications,","venue":null,"work_id":"3437b9f3-fcea-4be4-86f8-4dd90281e79b","year":2021},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.753701Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:4ef2edb391e1f1aec937b9040fba0d03c1afa26d3b0a1b4e9cf2a3fcedf1431b","observation_id":"ce445a4a-d97f-4f44-8925-f2d4a5b12133","resolution":{"observed_at":"2026-08-15T18:06:19.009803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:18.995040Z","title":"Weighing in on photonic-based machine learning for automotive mobility,","venue":null,"work_id":"b44d6291-8c4d-4a91-a731-342741fdb3c9","year":2021},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.756934Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:510bb90b8307112aaaa3b24eb950121456b294a9e3463c794cb0ca3f904f6496","observation_id":"fd31259c-62da-4bca-ae64-f081834dae2e","resolution":{"observed_at":"2026-08-15T18:06:18.998850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:18.984339Z","title":"Electronic-photonic arithmetic logic unit for high-speed computing,","venue":null,"work_id":"2484333f-63b0-4b2b-979c-8a3a70a6602e","year":2020},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.760673Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:8d719ef86481b3473a8adf24ab8b4ff2e9bdd5d5d8c34aa5f63d73a6f7a31344","observation_id":"adaf535f-4309-4dd6-ad48-c5fb6ad5c671","resolution":{"observed_at":"2026-08-15T18:06:18.988230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:18.972972Z","title":"Higher-dimensional processing using a photonic tensor core with continuous-time data,","venue":null,"work_id":"16b11434-a8fa-4d47-9a6c-759fe2a392a3","year":2023},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.764322Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:108520c7c4f8f6c6c32ae44439a3e5cbb400f91561882dd00808e06258894167","observation_id":"77bfee92-5f5b-41a7-9ce4-adaa4d441e01","resolution":{"observed_at":"2026-08-15T18:06:18.976989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:18.961742Z","title":"Partial coherence enhances paralleliz ed photonic computing,","venue":null,"work_id":"3d83d4f5-8a38-4d93-b334-33eed84d3af4","year":2024},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.768430Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:ac11b8c784c9551756538e9e6a0fbfc26232f1dcfb9391c01efa8fa41726a5e8","observation_id":"c0664e51-3387-4232-8e79-5f8c246d9eb1","resolution":{"observed_at":"2026-08-15T18:06:18.965573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:18.950500Z","title":"Programmable photonic circuits,","venue":null,"work_id":"7333f078-7e5b-4d06-94d5-01f42c1f6ccc","year":2020},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.772302Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:4754cb6b858c3364e006fa633c0222807479a1b738cbdbf9af6460e8797846d1","observation_id":"757401e4-2e7d-439e-942e-65618e20acb8","resolution":{"observed_at":"2026-08-15T18:06:18.954319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:18.939217Z","title":"The physics of optical computing,","venue":null,"work_id":"ddb9dddb-5b1b-4a16-ba00-7bd274f235eb","year":2023},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.775959Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:4922d3242a1d97d7ba8796a868410f13da909500b1daf4cfdb87fc7a7bb9f446","observation_id":"5b2a2ff8-0d86-4917-a9dc-7d65be320adb","resolution":{"observed_at":"2026-08-15T18:06:18.942924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:18.926911Z","title":"Programmable photonic arrays based on microelectromechanical elements with femtowatt-level standby power consumption,","venue":null,"work_id":"e03e2f89-51bd-4698-96e6-b6ec422a9535","year":2023},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.779381Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:c0be7a117455d929cb0893a3f6a37936c409e1f54fd4781713db3a789709ae74","observation_id":"c291d373-9034-466b-a9a1-0b274050a0d7","resolution":{"observed_at":"2026-08-15T18:06:18.931317Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:18.914739Z","title":"Integrated photonic encoder for low power and high-speed image processing,","venue":null,"work_id":"3bc3266f-1c51-48ec-b253-97ea95f6f295","year":2024},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.782570Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:97a713ceb3d57c45624f4f75d9b77d0e79f582ca6fdd8f163e191b2bfb19fef5","observation_id":"0f8a7a08-e743-48e6-8d90-e787aaeda6d9","resolution":{"observed_at":"2026-08-15T18:06:18.919114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:18.903207Z","title":"Quantum computational advantage with a programmable photonic processor,","venue":null,"work_id":"7861986f-0039-489e-973d-5a8c16e54acb","year":2022},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.786055Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:9200eb3530ddb836870f9b498be8f618c97458296eaf7f9de37623d72e5bba8f","observation_id":"d95479c4-2bab-4f01-ad13-81498b9aca23","resolution":{"observed_at":"2026-08-15T18:06:18.907106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:18.890749Z","title":"Quantum mechanical pure states with Gaussian wave functions,","venue":null,"work_id":"482aa8e5-ecf3-4e22-8671-06c7858f43dd","year":1986},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.789478Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:88dbfa3ddc0d17a0d2eddef28b080301b603898e2408340a784a1bc9e524a8ed","observation_id":"897ee81f-8454-43ae-87aa-8d8bd3002bc0","resolution":{"observed_at":"2026-08-15T18:06:18.895050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:18.879705Z","title":null,"venue":null,"work_id":"1d0a07c9-850e-4515-afe5-14e2a39d2326","year":2023},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.793069Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:b4892ef7c7dc7b1e1c4b25885225190a93710cb272fb4bb124c9610cd189de59","observation_id":"28762d09-9482-4fde-a42e-01ee32a4226f","resolution":{"observed_at":"2026-08-15T18:06:18.883201Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:06:18.866830Z","title":"MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classifica- tion,","venue":null,"work_id":"67100ea8-5d02-4954-9443-32f5f6d71c05","year":2023},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.796634Z"},"links":{"citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:64678fb004d137ae22919bcdf5b2113f87b80a7d560e81ef8334c0e85c618b1d","observation_id":"89a6ec64-cb24-4060-ba4d-b4557242fa1e","resolution":{"observed_at":"2026-08-15T18:06:18.872412Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.00451","last_updated":"2018-06-01T17:16:56Z","snapshot_observed_at":"2026-08-16T06:32:06.888652Z","submitted_at":"2018-06-01T17:16:56Z","title":"Do CIFAR-10 Classifiers Generalize to CIFAR-10?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.00451","snapshot_observed_at":"2026-08-15T18:06:18.800509Z","title":"Do CIFAR-10 classifiers generalize to CIFAR-10?,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.800509Z"},"links":{"cited_paper":"/paper/1806.00451","citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:c32ac104cc028c2b2933abcab54bc369c6f40bc81104044889ff8d6a5894f481","observation_id":"a5bf6689-35f9-4af5-b949-051273998717","resolution":{"observed_at":"2026-08-15T18:06:18.800509Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.02730","last_updated":"2025-04-03T16:13:34Z","snapshot_observed_at":"2026-08-16T12:44:12.225277Z","submitted_at":"2025-04-03T16:13:34Z","title":"HQViT: Hybrid Quantum Vision Transformer for Image Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.02730","snapshot_observed_at":"2026-08-15T18:06:18.804384Z","title":"HQViT: Hybrid quantum vision Transformer for image classification,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.804384Z"},"links":{"cited_paper":"/paper/2504.02730","citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:b84706df40becaddd6825ac3c6bd7ab987c23a43c9cb8381c4e61a33a42ae414","observation_id":"af910ad2-f988-4335-ac80-5bc18359a768","resolution":{"observed_at":"2026-08-15T18:06:18.804384Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04305","last_updated":"2024-06-06T17:52:05Z","snapshot_observed_at":"2026-08-18T20:05:47.800126Z","submitted_at":"2024-06-06T17:52:05Z","title":"Quixer: A Quantum Transformer Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04305","snapshot_observed_at":"2026-08-15T18:06:18.808527Z","title":"Quixer: A quantum Transformer model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T18:06:18.808527Z"},"links":{"cited_paper":"/paper/2406.04305","citing_paper":"/paper/2507.19041"},"observation_digest":"sha256:1d658d283d41f740c544d88d102a31c985b4c770a41b1609b7267439c5104ceb","observation_id":"14911d28-8f91-49f0-96ee-57c93c543ca7","resolution":{"observed_at":"2026-08-15T18:06:18.808527Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.19041","last_updated":"2025-07-25T07:52:24Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-16T06:33:04.104679Z","submitted_at":"2025-07-25T07:52:24Z","title":"PGKET: A Photonic Gaussian Kernel Enhanced Transformer"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":26},"total_outbound_references":30},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2507.19041."}