{"as_of":"2026-08-22T06:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6bb99cfe5dddf16dbab035f5439450f017ea3f297fc7ab39e706546f945a5d18","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T07:08:20.124645Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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":"2026-06-27T07:08:20.124645Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-03T14:18:22.705489Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"cited_work":{"arxiv_id":"2606.13379","doi":null,"metadata_source":"pith","pith_arxiv_id":"2606.13379","snapshot_observed_at":"2026-07-03T14:18:22.705489Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","venue":"cs.LG","work_id":"fec5dff2-4166-49a6-ac9c-5fa75789a785","year":2026},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"cited_paper":"/paper/2606.13379","citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:360629fe5e018ec6a9cbcab5541f131f560253c2ef2719d2eac0ccf2dc9dc4f7","observation_id":"74efa9e4-6955-4d35-9a51-cf578a6fea46","resolution":{"observed_at":"2026-07-03T14:18:22.706689Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2606.13379/citation-record","integrity":"/paper/2606.13379/integrity","json":"/paper/2606.13379/citation-record.json","paper":"/paper/2606.13379"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"cited_work":{"arxiv_id":"2606.13379","doi":null,"metadata_source":"pith","pith_arxiv_id":"2606.13379","snapshot_observed_at":"2026-07-03T14:18:22.705489Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","venue":"cs.LG","work_id":"fec5dff2-4166-49a6-ac9c-5fa75789a785","year":2026},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"cited_paper":"/paper/2606.13379","citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:360629fe5e018ec6a9cbcab5541f131f560253c2ef2719d2eac0ccf2dc9dc4f7","observation_id":"74efa9e4-6955-4d35-9a51-cf578a6fea46","resolution":{"observed_at":"2026-07-03T14:18:22.706689Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-27T07:08:20.124645Z","title":"Memristors Memristors are physical circuit elements that change their resis- tance through the application of a sufficiently large voltage or an electric field [20]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:612c1036bca57fa3e322e5dbde50026c0a05023095a426ad90f13f40b6b6effe","observation_id":"8624b2e2-e764-4194-b740-785242eb15d6","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"We conduct the majority of our studies on LibriSpeech","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:dd10fcece9df86bdb9db1a150ccff4d4c8ab945556e1a1cd3059fd1ce0231e38","observation_id":"d541029e-bfd8-4837-9378-1275ae73beec","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"For LibriSpeech, we use ARPA-phonemes from the provided lexicon as target labels","venue":null,"work_id":null,"year":2048},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:051c789c465c4282ac4bf4f74a2257d8086ab48e278fc2501b3ab7c3c0021e0c","observation_id":"9253f5f2-9576-4d2c-a42a-4bdfed31fd69","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"Baseline For our first comparison, we run the pipeline for models with and without PEs","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:633e6f7c45d6e8e1180fd2e084b1fc652aaf80f7d504de2cac612c60cc5e0bae","observation_id":"e219634c-a689-4f81-8c75-30c72753a68c","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"We identified the encodings to require specific care, as they do not integrate into the memris- tor execution as smoothly as the rest of the network","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:e420060d9eb65f6a813bdd8749b7bb86c25f86dd9dd0a68c6692251b8d4cb51d","observation_id":"30f79dc9-a012-4e94-acfe-8088674b9048","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"Clusters4Future","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:1e6cc31007b7b0ee1dfcf264e433c7aa1dc2f16d91fd8bb5b226079f348f6667","observation_id":"b359be7e-e208-4a68-9230-ccda03270cd0","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:98431a39287e678d5a36525a28c1244bb95eafbf296142b8689d97bf666b664b","observation_id":"d58fca56-a9e5-4de1-8f5a-601285fdf446","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"Relia- bility Aspects,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:dc144d21901686cf7304a016dfafecea233de4137d5fb93c14fd3cf81725c884","observation_id":"7a9b8c19-ab5b-4f39-b698-2f40288d449e","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"A compute-in-memory chip based on resistive random-access memory,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:c850f824f5788abc9d2285c073ba48106b431e574694296c40412039e9881e45","observation_id":"5e2c59a0-7441-494e-bb76-3ceb9f7b1f58","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"Memristor-based hardware accelerators for artificial in- telligence,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:e69bc301ca6a88aa74d8df8bfb4ad8bd71cf4102a9c8b4b74a6a317429613dd8","observation_id":"6ac74817-69be-41a5-9ec9-86c741a33b82","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"High-density integration for RRAM-based computing-in-memory,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:f7317f5c072087c54e2f4b95390e1d07d70967e3a0623a2fdcf070a4682eaaae","observation_id":"4afb4e7d-61aa-4370-9ff4-ffe54943e8b6","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:7377d5eb6016f3b53112e9f32653327c98ec75ebf79ab26e446cf939fcf7b878","observation_id":"e62a2252-a2f9-4082-8443-d1bdc6dc0f6f","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"Fusion of memristor and digital compute-in-memory processing for energy- efficient edge computing,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:f247c964b41a77f5c7d8775bfff95061bcc1f1df16b7efde94d1d6ea928be235","observation_id":"387e2aba-ba42-45d4-b531-5508a8ffab9f","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.13410","last_updated":"2024-07-18T11:30:33Z","snapshot_observed_at":"2026-08-18T12:29:27.888037Z","submitted_at":"2024-07-18T11:30:33Z","title":"Neuromorphic Circuit Simulation with Memristors: Design and Evaluation Using MemTorch for MNIST and CIFAR","version":1},"cited_work":{"arxiv_id":"2407.13410","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.13410","snapshot_observed_at":"2026-07-03T14:18:22.710396Z","title":"Neuromorphic Circuit Simulation with Memristors: Design and Evaluation Using MemTorch for MNIST and CIFAR,","venue":null,"work_id":"0ff04701-9c9b-4092-abbc-6d3c80053249","year":2024},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"cited_paper":"/paper/2407.13410","citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:93949f02481796b77bfdd4bfcbaca26945dbe3b167f8a099634565eff57be4dc","observation_id":"30a6fe83-8029-47b5-b204-2ce9c8ec17d2","resolution":{"observed_at":"2026-07-03T14:18:22.711860Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-27T07:08:20.124645Z","title":"Running Conventional Automatic Speech Recogni- tion on Memristor Hardware: A Simulated Approach,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:fb403e74552b32d7e05b28a136e3bf8fb830126f2372387c8bd0f4dc5ecbc00a","observation_id":"dc5c3137-8001-4930-9502-46456866690e","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"Attention is All you Need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:ba239da49ff14c059a8022c50614c682318f4854cd0ae227c0edc18c386b1764","observation_id":"3f81791a-5408-453d-90a0-a3e8da6c8e64","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"Self-Attention with Rela- tive Position Representations,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:d48d6a62404d7f29f324c1ed4187f6a7e34f5100e9af3bba93e91fc92fb1f08d","observation_id":"dffcc565-fa71-4706-a6f9-5b00f45a36c9","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"Transformer-XL: Attentive Language Models beyond a Fixed-Length Context,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:0a3a94ed89bda75023cc16ae754b227ced8d8603732769b81016117386f9d156","observation_id":"30d733cc-c793-46d4-9eda-4c38d9acf124","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"Conformer: Convolution-augmented Transformer for Speech Recognition,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:cbe7464aa202aa51ee36e911257026407e69592f0bce258a886e4eab4b383e2a","observation_id":"57672016-e242-4386-a864-dd8c52dd1fb2","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"An Investigation of Positional Encoding in Transformer-based End-to-end Speech Recognition,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:33a335c0e1abd209304c44f67b831431a859f154cbd57d4db6ee650b3736b001","observation_id":"99dee6b3-3bc8-4e34-864a-dfcf6deb6d57","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.10352","last_updated":"2019-10-23T04:57:51Z","snapshot_observed_at":"2026-08-16T01:43:09.016976Z","submitted_at":"2019-10-23T04:57:51Z","title":"A Transformer with Interleaved Self-attention and Convolution for Hybrid Acoustic Models","version":1},"cited_work":{"arxiv_id":"1910.10352","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1910.10352","snapshot_observed_at":"2026-07-03T14:18:22.712917Z","title":"A Transformer with Interleaved Self-attention and Convolution for Hybrid Acoustic Models,","venue":null,"work_id":"da3af5e0-c22e-469f-9250-5f2c5149c497","year":1910},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"cited_paper":"/paper/1910.10352","citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:3c16ba30f49feedf633c87c6c8a4c109c1279e70e47be9b4d7d6f7d8e7ad1c1f","observation_id":"2fa00cbb-f17d-4381-be75-efcaf9815286","resolution":{"observed_at":"2026-07-03T14:18:22.714461Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-27T07:08:20.124645Z","title":"A Defect-Tolerant Reusable Network of DACs for Wafer-Scale Integration,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:7ae4c2e6f41cf7a1e61f758a9dc63de5780959213f54962b2224594f098058cd","observation_id":"22739eed-d658-455b-b70c-4ff76ab1cad9","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"Synaptogen: A Cross- Domain Generative Device Model for Large-Scale Neuromorphic Circuit Design,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:c0e495e82ce3410cd28cf7e80f0296fb340a9c740f0a205423965acaf854e1e7","observation_id":"78c59503-caa8-4ea5-a4ae-b54da8dbc47e","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"Sisyphus, a workflow manager de- signed for machine translation and automatic speech recognition,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:45daa01c35b8d9b878d0ace6e85f5a4da76e01b6710e40eb50b035980f05fd21","observation_id":"5dcecf00-bd83-47c8-81d7-aede3a66dc84","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"Returnn: The RWTH extensible training framework for universal recurrent neural networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:19b5fdbc26cdd14d7783b7488d1db49da6080c0899f9f6e6d7683d11b70a5a14","observation_id":"a2ef7a41-6dbf-4727-9919-8ceacb2f64cd","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"RASR/NN: The RWTH neural network toolkit for speech recog- nition,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:0f50cfd76a2392e0cabc15444fc6c68c0d48c7c275afa22eee163da3a1f9b96d","observation_id":"350cbc20-8198-4a85-8a68-e2d57cb1cdef","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"The missing memristor found,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:73c9fd22bee0e1bcaf267daad318ea16997af802b1b6fa002f7f1b490a8ee58c","observation_id":"876c6153-89c1-4022-a447-feee6fb6d4fb","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"Analogue signal and image processing with large memristor crossbars,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:cf7a4d1d9be92057ec5960ecf005c60fec30f238e8c78a2a56c1b35796fa11c0","observation_id":"57cfe193-9235-4370-b148-dadd90dea994","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"Intrinsic Bounds for Computing Precision in Memristor-Based Vector-by-Matrix Multipliers,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:1cd4d5571a432985b0a3d27d5970ff83ceab70ea8c0b2549ff83d4b6eb5f47b6","observation_id":"95447f18-0183-4897-b125-27af6d1e1f41","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"Experimental Investi- gation of 4-kb RRAM Arrays Programming Conditions Suitable for TCAM,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:5c94c1da0b110d11d35b57d36314375bcafafb9b4cbe0cde97410104bf9f9668","observation_id":"28a3b4ed-bbdd-4a9a-b036-923932d7a8ed","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"MNIST handwritten digit database,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:9324fca2471f63c7ff859b5520bf1316485295afc170438660a789c7b493225f","observation_id":"6c4071ab-c5db-4fd5-a64d-7816e00f5e80","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"Learning Multiple Layers of Features from Tiny Images,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:42ee7ece449457546e718356b075157e48fe3bea070433aa5d76526eae8c0fa2","observation_id":"e8f01533-dc9f-4f8f-97af-bcd2ac1043bb","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1804.03209","last_updated":"2018-04-09T19:58:17Z","snapshot_observed_at":"2026-08-15T16:28:51.252929Z","submitted_at":"2018-04-09T19:58:17Z","title":"Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition","version":1},"cited_work":{"arxiv_id":"1804.03209","doi":"10.48550/arxiv.1804.03209","metadata_source":"pith","pith_arxiv_id":"1804.03209","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition","venue":"cs.CL","work_id":"f4d53a51-5741-47e1-b328-d6503065d1bd","year":2018},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"cited_paper":"/paper/1804.03209","citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:b38edac297bf729a9e0ae9685f4bd80514ba4b46a04c309a2abade9a3b5568cd","observation_id":"8e8721ef-775a-49ee-a027-29951db6cd0a","resolution":{"observed_at":"2026-07-03T14:18:22.716679Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-27T07:08:20.124645Z","title":"Con- nectionist Temporal Classification: Labelling Unsegmented Se- quence Data with Recurrent Neural Networks,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:36bebf30add82128a7e651ed0d4a6568236153fc0d974cb86dd066c71404fc41","observation_id":"64330173-5764-4aa5-9237-c648d720c458","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"Lib- rispeech: An ASR Corpus Based on Public Domain Audio Books,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:7bccfbc0a220d720eee344ffb718d2f28f115cba4dd2ae8e47eac2ef0eead8c1","observation_id":"05c48a3b-ae24-476f-8bf0-1032cbbd43d9","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"Neural Machine Trans- lation of Rare Words with Subword Units,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:2de63ff999da3110cd7bc1db7d59ed5ab432a7e67885c1af1a3b4258dc36e3ff","observation_id":"18891a50-efc0-4e2e-8fa2-f8c97dbe184c","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"KenLM: Faster and Smaller Language Model Queries,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:0901d3e7d0e3aff797fc6591a3d44920fcb13f3c0c1c34b6e9e690be4822b8fe","observation_id":"8e93e06a-6273-40bb-b44e-53aa0f7ca472","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":"2512.17915","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T14:18:22.707836Z","title":"Supplementary Resources and Analysis for Auto- matic Speech Recognition Systems Trained on the Loquacious Dataset,","venue":null,"work_id":"eac39141-b40f-48d1-ba43-8ab4262fa879","year":2025},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:b3811fd73a91af8391578ce150f4d703690bca626c90e96b6a1a617543a95139","observation_id":"f9c4dcea-0450-4016-92f1-df12cc30775e","resolution":{"observed_at":"2026-07-03T14:18:22.709279Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-27T07:08:20.124645Z","title":"On the Variance of the Adaptive Learning Rate and Beyond,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:58b3a5f3b122cc943ac6c10766351d7a3c0772efb88fa291f7404abe03c4d069","observation_id":"e8638916-3edb-4087-a2dc-b11fa5fdfc49","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T07:08:20.124645Z","title":"SpecAugment: A Simple Data Augmenta- tion Method for Automatic Speech Recognition,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-27T07:08:20.124645Z"},"links":{"citing_paper":"/paper/2606.13379"},"observation_digest":"sha256:cb97d7f029c669b45640102f2067dea0fd42a20132174d9851c608852598a794","observation_id":"7b6c27d0-9db5-4ba2-ba98-2820f5c74197","resolution":{"observed_at":"2026-06-27T07:08:20.124645Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.13379","last_updated":"2026-06-11T14:05:58Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T15:40:32.055907Z","submitted_at":"2026-06-11T14:05:58Z","title":"Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":36,"verified_exact":4,"verified_fuzzy":0},"total_outbound_references":41},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2606.13379."}