{"as_of":"2026-08-08T09:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:81cbeb19b952d46783b26d70793ab8e860b89cfafc6ffd847a7bba4687796942","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:41:51.016008Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.09069/citation-record","integrity":"/paper/2506.09069/integrity","json":"/paper/2506.09069/citation-record.json","paper":"/paper/2506.09069"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:50.958681Z","title":"Gradient-based learning applied to document recognition,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2506.09069","last_updated":"2025-06-08T23:49:23Z","snapshot_observed_at":"2026-08-07T05:34:07.828699Z","submitted_at":"2025-06-08T23:49:23Z","title":"Devanagari Digit Recognition using Quantum Machine Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:50.958681Z"},"links":{"citing_paper":"/paper/2506.09069"},"observation_digest":"sha256:346ccab3d03b34b01229dc940ca107c2edfb8ff4e2cf6ebe64723a2550a69b8c","observation_id":"3f45490b-610f-4e8b-9a47-cc5b950f9350","resolution":{"observed_at":"2026-08-07T05:41:50.958681Z","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":"2026-08-07T05:41:51.190044Z","title":"Deep learning based large scale handwritten devanagari character recognition,","venue":null,"work_id":"acb0dfa1-d163-426e-8d3d-60ca31b9a2ec","year":2015},"citing_paper":{"arxiv_id":"2506.09069","last_updated":"2025-06-08T23:49:23Z","snapshot_observed_at":"2026-08-07T05:34:07.828699Z","submitted_at":"2025-06-08T23:49:23Z","title":"Devanagari Digit Recognition using Quantum Machine Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:50.962971Z"},"links":{"citing_paper":"/paper/2506.09069"},"observation_digest":"sha256:21adcf9907b36ba3ef1332307178e5b578ede7b356ccb9d0c1f21552a6715459","observation_id":"ea4e4912-81cd-490b-82ff-baf833b9da3a","resolution":{"observed_at":"2026-08-07T05:41:51.193624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:51.180018Z","title":"Quantum machine learn- ing,","venue":null,"work_id":"0cbd4917-7321-4ba1-a14c-2cdd3db7b5a3","year":2017},"citing_paper":{"arxiv_id":"2506.09069","last_updated":"2025-06-08T23:49:23Z","snapshot_observed_at":"2026-08-07T05:34:07.828699Z","submitted_at":"2025-06-08T23:49:23Z","title":"Devanagari Digit Recognition using Quantum Machine Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:50.966717Z"},"links":{"citing_paper":"/paper/2506.09069"},"observation_digest":"sha256:48486b4ca9b91a2306da23c2f246c871b6b52997c60849f15b2efac3b1e88ddb","observation_id":"2869763f-fa3c-4372-8f74-af57a61e573e","resolution":{"observed_at":"2026-08-07T05:41:51.183440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:50.970246Z","title":"Quantum computing in the nisq era and beyond,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.09069","last_updated":"2025-06-08T23:49:23Z","snapshot_observed_at":"2026-08-07T05:34:07.828699Z","submitted_at":"2025-06-08T23:49:23Z","title":"Devanagari Digit Recognition using Quantum Machine Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:50.970246Z"},"links":{"citing_paper":"/paper/2506.09069"},"observation_digest":"sha256:00e85f50922251fad5f62ffad7d4f61aecdcabf34eca336384b2b62da751dfc6","observation_id":"227f984d-551b-40b6-af8a-ee1d7cba8348","resolution":{"observed_at":"2026-08-07T05:41:50.970246Z","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":"2026-08-07T05:41:51.162935Z","title":"Hybrid quantum-classical neural network for calculating ground state ener- gies of molecules,","venue":null,"work_id":"207c2d2e-eb82-40f4-9940-523e54163bda","year":2020},"citing_paper":{"arxiv_id":"2506.09069","last_updated":"2025-06-08T23:49:23Z","snapshot_observed_at":"2026-08-07T05:34:07.828699Z","submitted_at":"2025-06-08T23:49:23Z","title":"Devanagari Digit Recognition using Quantum Machine Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:50.973874Z"},"links":{"citing_paper":"/paper/2506.09069"},"observation_digest":"sha256:ece4b628198195d7cedbe105486ea2b118b0fee465c8a5a516ade1720cbd3921","observation_id":"2f21713f-5b08-4424-af86-1e211a759a91","resolution":{"observed_at":"2026-08-07T05:41:51.166702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:41:50.977764Z","title":"Imagenet classification with deep convolutional neural networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.09069","last_updated":"2025-06-08T23:49:23Z","snapshot_observed_at":"2026-08-07T05:34:07.828699Z","submitted_at":"2025-06-08T23:49:23Z","title":"Devanagari Digit Recognition using Quantum Machine Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:50.977764Z"},"links":{"citing_paper":"/paper/2506.09069"},"observation_digest":"sha256:ca8a6f0d791b56eab0dfa64a0ca35275caf272a9303f46c0231ab79f61bcceab","observation_id":"5034d717-31fc-422a-9b53-38ac0d22c5d7","resolution":{"observed_at":"2026-08-07T05:41:50.977764Z","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":"2026-08-07T05:41:51.146262Z","title":"Transfer learning using cnn for handwritten devanagari character recognition,","venue":null,"work_id":"d8bc968b-394e-46d5-8634-e69797a738c4","year":2019},"citing_paper":{"arxiv_id":"2506.09069","last_updated":"2025-06-08T23:49:23Z","snapshot_observed_at":"2026-08-07T05:34:07.828699Z","submitted_at":"2025-06-08T23:49:23Z","title":"Devanagari Digit Recognition using Quantum Machine Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:50.981543Z"},"links":{"citing_paper":"/paper/2506.09069"},"observation_digest":"sha256:f408ce8eeaecc1dd57e2aad8784a161b3830446f072863cfa7c8b288f1017a78","observation_id":"9729117d-0e55-461e-b9a7-63cf3c09d214","resolution":{"observed_at":"2026-08-07T05:41:51.150345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:51.135773Z","title":"Variational quan- tum algorithms,","venue":null,"work_id":"59cfb5e7-53d4-4031-8161-24d037d7748d","year":2021},"citing_paper":{"arxiv_id":"2506.09069","last_updated":"2025-06-08T23:49:23Z","snapshot_observed_at":"2026-08-07T05:34:07.828699Z","submitted_at":"2025-06-08T23:49:23Z","title":"Devanagari Digit Recognition using Quantum Machine Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:50.984940Z"},"links":{"citing_paper":"/paper/2506.09069"},"observation_digest":"sha256:a936155ea3c442999acf02cf25d52d84d2888b0ddc7073339bda09ab1240dbcb","observation_id":"a0d1eca9-af70-4edd-9768-61c450ca1165","resolution":{"observed_at":"2026-08-07T05:41:51.139396Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:51.125976Z","title":"Quantum circuit learning,","venue":null,"work_id":"994ec06b-22c1-436e-8396-4402cf510cc1","year":2018},"citing_paper":{"arxiv_id":"2506.09069","last_updated":"2025-06-08T23:49:23Z","snapshot_observed_at":"2026-08-07T05:34:07.828699Z","submitted_at":"2025-06-08T23:49:23Z","title":"Devanagari Digit Recognition using Quantum Machine Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:50.988100Z"},"links":{"citing_paper":"/paper/2506.09069"},"observation_digest":"sha256:4865268efa36cfc62fc947b03ee1607e919a1922353b448fae2cbccdeb613fe7","observation_id":"f9aabf63-ecd4-495a-ac66-33a36513dcf5","resolution":{"observed_at":"2026-08-07T05:41:51.129239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:51.114847Z","title":"Classification of hybrid quantum-classical com- puting,","venue":null,"work_id":"631cf638-c473-4e3f-b570-fab9c9369997","year":2023},"citing_paper":{"arxiv_id":"2506.09069","last_updated":"2025-06-08T23:49:23Z","snapshot_observed_at":"2026-08-07T05:34:07.828699Z","submitted_at":"2025-06-08T23:49:23Z","title":"Devanagari Digit Recognition using Quantum Machine Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:50.991369Z"},"links":{"citing_paper":"/paper/2506.09069"},"observation_digest":"sha256:9858fd1044e5bc1653c068db6f90dc271e6c46b4fb6976d7e07b27b51d56286b","observation_id":"d993d159-798f-4823-9aed-6c5e01726c95","resolution":{"observed_at":"2026-08-07T05:41:51.118593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:51.104332Z","title":"The power of quantum neural networks,","venue":null,"work_id":"c59059e5-9fed-481a-bf82-89f8641cd76a","year":2021},"citing_paper":{"arxiv_id":"2506.09069","last_updated":"2025-06-08T23:49:23Z","snapshot_observed_at":"2026-08-07T05:34:07.828699Z","submitted_at":"2025-06-08T23:49:23Z","title":"Devanagari Digit Recognition using Quantum Machine Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:50.994659Z"},"links":{"citing_paper":"/paper/2506.09069"},"observation_digest":"sha256:d7e00a890e2d649b1202c68656f4ab6b815295a9555726e241328dd634a13369","observation_id":"4e2b1f74-5cfb-4e9a-aee3-f931feb9f09a","resolution":{"observed_at":"2026-08-07T05:41:51.107858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:51.093860Z","title":"A comparative analysis of hybrid-quantum classical neural networks,","venue":null,"work_id":"8c613925-acc3-4f8b-909b-3c7587e24f08","year":2024},"citing_paper":{"arxiv_id":"2506.09069","last_updated":"2025-06-08T23:49:23Z","snapshot_observed_at":"2026-08-07T05:34:07.828699Z","submitted_at":"2025-06-08T23:49:23Z","title":"Devanagari Digit Recognition using Quantum Machine Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:50.997871Z"},"links":{"citing_paper":"/paper/2506.09069"},"observation_digest":"sha256:42c1e685bc1a400f276b309a28f8c8904d4a5ac9b9410cee01ed2b01b9bdd2e6","observation_id":"afc0eb65-d3a1-44f2-af48-cfcf54bb9ab4","resolution":{"observed_at":"2026-08-07T05:41:51.097518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.04968","last_updated":"2022-07-29T22:39:54Z","snapshot_observed_at":"2026-07-06T07:14:13.912107Z","submitted_at":"2018-11-12T19:18:57Z","title":"PennyLane: Automatic differentiation of hybrid quantum-classical computations","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.04968","snapshot_observed_at":"2026-08-07T05:41:51.000994Z","title":"Pennylane: Automatic differentiation of hybrid quantum-classical computations,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.09069","last_updated":"2025-06-08T23:49:23Z","snapshot_observed_at":"2026-08-07T05:34:07.828699Z","submitted_at":"2025-06-08T23:49:23Z","title":"Devanagari Digit Recognition using Quantum Machine Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:51.000994Z"},"links":{"cited_paper":"/paper/1811.04968","citing_paper":"/paper/2506.09069"},"observation_digest":"sha256:16eb92dcdd374f7c9bfa38641109f097e9a7b60033df5b63f107e925e4c35fe6","observation_id":"cce465ca-228e-4c0f-b650-25935d8adeca","resolution":{"observed_at":"2026-08-07T05:41:51.000994Z","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":"2026-08-07T05:41:51.083615Z","title":"Understanding the dif- ficulty of training deep feedforward neural net- works,","venue":null,"work_id":"31bfbc16-1db6-4d6b-998c-5e619388d64c","year":2010},"citing_paper":{"arxiv_id":"2506.09069","last_updated":"2025-06-08T23:49:23Z","snapshot_observed_at":"2026-08-07T05:34:07.828699Z","submitted_at":"2025-06-08T23:49:23Z","title":"Devanagari Digit Recognition using Quantum Machine Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:51.004959Z"},"links":{"citing_paper":"/paper/2506.09069"},"observation_digest":"sha256:5158aabff3613103cbd7c6c1cf1273735ed8fc9fdade2ea2241107742174fadd","observation_id":"83bc693c-f032-493d-b776-ba7ac5b9e1d4","resolution":{"observed_at":"2026-08-07T05:41:51.087166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:41:51.073240Z","title":"Rethinking the inception architecture for computer vision,","venue":null,"work_id":"a1a957fb-a923-419e-abfa-5a08d26f6902","year":2016},"citing_paper":{"arxiv_id":"2506.09069","last_updated":"2025-06-08T23:49:23Z","snapshot_observed_at":"2026-08-07T05:34:07.828699Z","submitted_at":"2025-06-08T23:49:23Z","title":"Devanagari Digit Recognition using Quantum Machine Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:51.009187Z"},"links":{"citing_paper":"/paper/2506.09069"},"observation_digest":"sha256:2dadfaff387fc7fdbaf407f0ebf6e78ad8227827819d2178f8d8ae37bf0bcf5a","observation_id":"23aac1a3-47b4-4131-b633-fdd53804322c","resolution":{"observed_at":"2026-08-07T05:41:51.076914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-07T05:41:51.012567Z","title":"Decoupled weight decay regularization,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.09069","last_updated":"2025-06-08T23:49:23Z","snapshot_observed_at":"2026-08-07T05:34:07.828699Z","submitted_at":"2025-06-08T23:49:23Z","title":"Devanagari Digit Recognition using Quantum Machine Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:51.012567Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2506.09069"},"observation_digest":"sha256:253b6e3b4efea1285986f670001ff878278cf7a0b94adc54456e6bab3b806854","observation_id":"1e157844-944e-465a-a352-a8e677d47ba7","resolution":{"observed_at":"2026-08-07T05:41:51.012567Z","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":"2026-08-07T05:41:51.060133Z","title":"Multi- column deep neural networks for image classifica- tion,","venue":null,"work_id":"4e9dba45-3166-4766-b670-cd9653e03a23","year":2012},"citing_paper":{"arxiv_id":"2506.09069","last_updated":"2025-06-08T23:49:23Z","snapshot_observed_at":"2026-08-07T05:34:07.828699Z","submitted_at":"2025-06-08T23:49:23Z","title":"Devanagari Digit Recognition using Quantum Machine Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:51.016008Z"},"links":{"citing_paper":"/paper/2506.09069"},"observation_digest":"sha256:dcc02718d0693e333528cbe54cdeb9334d9a7c207a46b89cf3762a3639fc066f","observation_id":"9fea2f7d-aef2-4a69-9580-acc67407d9e7","resolution":{"observed_at":"2026-08-07T05:41:51.065789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.09069","last_updated":"2025-06-08T23:49:23Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-07T05:34:07.828699Z","submitted_at":"2025-06-08T23:49:23Z","title":"Devanagari Digit Recognition using Quantum Machine Learning"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":12},"total_outbound_references":17},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.09069."}