{"as_of":"2026-08-16T13:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e7498e1ed1c7bbe62a0cf869e0caf3ccf68b4d6de8e4ae70325dba8d39c785a6","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:12:24.878398Z","state":"measured"},{"denominator":44,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":44,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/2501.02715/citation-record","integrity":"/paper/2501.02715/integrity","json":"/paper/2501.02715/citation-record.json","paper":"/paper/2501.02715"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:12:31.003523Z","title":"Computing arithmetic functions using stochastic logic by series expansion,","venue":null,"work_id":"92fd6deb-f590-43a0-b58d-0847dcc52ace","year":2019},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.125012Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:79a05db2618eea224de820397a96175943565d74ef9d326d51236c826c014d77","observation_id":"6395eb62-d3d8-45c5-8107-cff1f3010cf8","resolution":{"observed_at":"2026-08-10T22:12:31.028149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:30.954754Z","title":"Polynomial computation using unipolar stochastic logic and correlation technique,","venue":null,"work_id":"55f4be8f-9c3b-4da5-ad28-0bf8e050a2dc","year":2022},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.161097Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:eeb9c4a19b0f3a763d7cf95da766626a14ed0b9e2ec711369d9e8062fb1a8676","observation_id":"40699a54-ac11-47bd-b562-d10590c3f3b5","resolution":{"observed_at":"2026-08-10T22:12:30.979262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:30.795349Z","title":"Lehdc: Learning-based hyperdi- mensional computing classifier,","venue":null,"work_id":"2489e307-747a-4d36-b183-5aec9c4a0cb8","year":2022},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.194761Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:14479a212c59662a22bbac6fc0425a3cf95167b5232eeb801143248b6e325e5d","observation_id":"bdbd8702-a1a7-4a53-8313-ae72a041611c","resolution":{"observed_at":"2026-08-10T22:12:30.852252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:30.664828Z","title":"Onlinehd: Robust, efficient, and single-pass online learning using hyperdimensional system,","venue":null,"work_id":"5ea57463-da29-447a-a501-b51c31656bf3","year":2021},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.254840Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:80eedce8af223ed37270d812621aab9cce25fa8f5aedd9ea667d9441fe4dba3e","observation_id":"6f578e7c-5f09-4eb9-8722-7e1228a9793e","resolution":{"observed_at":"2026-08-10T22:12:30.704754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:30.534891Z","title":"Cascadehd: Efficient many-class learning framework using hyperdimensional computing,","venue":null,"work_id":"b1cbb2c0-89ec-400d-a60b-be821c2b593d","year":2021},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.294753Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:df7f2f84dddc1ed15dfcdb2deaf5ae9ad392151ee98991ddbd8df4edd2fbeae6","observation_id":"ff839823-2bc1-4e0a-90d1-a213937c068b","resolution":{"observed_at":"2026-08-10T22:12:30.574835Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:30.374747Z","title":"Word2hypervec: From word embeddings to hypervectors for hyperdimensional comput- ing,","venue":null,"work_id":"9e4783a8-95de-4778-b6a3-02328152018a","year":2024},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.344757Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:001dee253acab3413b6ccaaad898bbe9a42b02c62017eb4e100d48a769599c1e","observation_id":"620d3e44-660a-4176-b64c-67ffd3e85f9c","resolution":{"observed_at":"2026-08-10T22:12:30.420895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:23.382097Z","title":"Pseudorandomness,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.382097Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:5ae8b0e65ee69ccdf372e7662e775b1af6dad27304cb9f70ba99c316f21e9cdc","observation_id":"b8c9336a-c16c-4caf-9459-53b1d74b4792","resolution":{"observed_at":"2026-08-10T22:12:23.382097Z","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":"2026-08-10T22:12:30.256138Z","title":"Chazelle, The Discrepancy Method: Randomness and Complexity","venue":null,"work_id":"33b32491-c10d-429c-906f-9f881d85077f","year":2000},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.426177Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:3b66aa86067057657f960574bad8a622c33930e413d460bc249f8337657f9bf2","observation_id":"323fea68-1066-40b8-be51-926b54ad49f0","resolution":{"observed_at":"2026-08-10T22:12:30.285971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:30.095095Z","title":"On the discrepancy of (0,1)-sequences,","venue":null,"work_id":"959df111-7598-4d5e-bb48-6ece42830e21","year":2004},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.474758Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:66cc25009c20ae342a783c7a86f933efa57e87659f5b3bedfd7c5383fd80f781","observation_id":"f0692459-5ee4-4d55-a6ea-05341349bc85","resolution":{"observed_at":"2026-08-10T22:12:30.144910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:29.935107Z","title":"Exploiting correlation in stochastic circuit design,","venue":null,"work_id":"2af68b63-fc0f-4b97-8f7c-68d40401175b","year":2013},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.524762Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:885c41eda9b683c49534d0e90156ad7e331b055028b010cbca113661b92aa783","observation_id":"06003081-6d7c-49a8-869a-e07a9a9f7517","resolution":{"observed_at":"2026-08-10T22:12:30.001362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:29.804761Z","title":"Learning from hypervectors: A survey on hypervector encoding,","venue":null,"work_id":"e8caf890-9e40-4466-86e1-1f75712f76de","year":2023},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.572812Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:3d8bea6d2c8d25b2389142db8c5a58a94f9d6a924dba9057ec97dd6f3db884e6","observation_id":"ba42ff8c-eb5e-42f2-95ac-f4ed165dc295","resolution":{"observed_at":"2026-08-10T22:12:29.844751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:29.631378Z","title":"A computing-in- memory-based one-class hyperdimensional computing model for outlier detection,","venue":null,"work_id":"e1bc6bef-d5a4-466b-8c1e-271ef77bb5f9","year":2024},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.614757Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:a45e8d42f554f96b18eea3e99d274e9a15199c444f258c91e589cfc6ba8f0180","observation_id":"72d55097-8605-4949-9c55-4338e8cd05af","resolution":{"observed_at":"2026-08-10T22:12:29.673832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:29.494835Z","title":"Accurate and energy-efficient stochastic computing with Van Der Corput sequences,","venue":null,"work_id":"1e49499b-d3ff-4bd7-987e-8724e6b6312b","year":null},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.654754Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:022ef721fb36db708e31f831a49033c0da35a4226a74ee1dbe21d9dc6936eb26","observation_id":"41d063b9-a2f6-4df6-865a-863ec240de4b","resolution":{"observed_at":"2026-08-10T22:12:29.544739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:29.334900Z","title":"From multipliers to integrators: A survey of stochastic computing primitives,","venue":null,"work_id":"172b882a-4c0d-470a-bf26-32eb2bf3bb29","year":2024},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.718666Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:7a4df387f83e2814a7939fbd168b1eb1b8f2d2da8cdaee68be0d6da6d0f3c20b","observation_id":"697d0aba-1123-4dfa-ae85-3cf94655e149","resolution":{"observed_at":"2026-08-10T22:12:29.374823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:29.174881Z","title":"Agile simulation of stochastic computing image processing with contingency tables,","venue":null,"work_id":"155340f4-35f3-45c8-9bd4-a689c053c722","year":2023},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.764752Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:95bab7cae31e050f059d9e71a28e6f70646c21e3af4be94a6f26fa011b51f234","observation_id":"f733babb-756c-46da-8cc3-583f2643207e","resolution":{"observed_at":"2026-08-10T22:12:29.224896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:29.032236Z","title":"Toward energy-efficient stochastic circuits using parallel sobol sequences,","venue":null,"work_id":"85120970-33eb-4fac-8e89-98307f5412a4","year":2018},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.804756Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:46865d64ff9c27b54cf70bd2ad406ec6639e804bc395fa0aeede25813a27bf6d","observation_id":"fc6fe5c4-5f8f-4413-8206-fae2b35f96e5","resolution":{"observed_at":"2026-08-10T22:12:29.054745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:28.844820Z","title":"Performing stochastic computation deterministically,","venue":null,"work_id":"0b52efcd-d7f0-4c3a-aa7d-32228118a357","year":2019},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.838997Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:25cda6e01ea8c263c2ab6fb5484b07462ff3ffe619428d26aed9d53d39b424ba","observation_id":"f50422ca-9090-4b92-8927-76ef988863a5","resolution":{"observed_at":"2026-08-10T22:12:28.894747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:28.664857Z","title":"Low-cost sorting network circuits using unary processing,","venue":null,"work_id":"39e0ca15-28c0-4c61-a3f7-4361608ed184","year":2018},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.872438Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:f5c7c9bcb3a90a414c18e3add5d3d80720d71aeba957c88bcaac15672e835adb","observation_id":"66f37dac-88f4-47b7-a61c-234b9c0763c2","resolution":{"observed_at":"2026-08-10T22:12:28.714834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:28.511727Z","title":"Ugemm: Unary computing architecture for gemm applications,","venue":null,"work_id":"32f77419-17fa-462c-8a9c-567d0e8d70ed","year":2020},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.914833Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:10c4c90fae0c52b430dd90d420b3878ec5d00b133bfb94b4e4041dc356567b8f","observation_id":"8b307190-145a-41c6-81d6-624c03e125b6","resolution":{"observed_at":"2026-08-10T22:12:28.544744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:28.374917Z","title":"Fully distributed representation,","venue":null,"work_id":"472fff52-6959-4f52-8d08-91f1d6d325d8","year":1997},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.954887Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:6b662f202ce621ff7d20a910a91b055e1777dde4ba0eeb9aeb1895d29589bec0","observation_id":"c313af7c-bfa5-4665-8db6-7102df344ce3","resolution":{"observed_at":"2026-08-10T22:12:28.424755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:23.986162Z","title":"A survey on hyperdimensional computing aka vector symbolic architectures, part i: Models and data transformations,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.986162Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:b407510f8eb3be2dda15094d25a600b9c3630f0b526b4d586d90020e40dc4af9","observation_id":"596dbfde-af5d-47b4-9331-80ef8fdc30ae","resolution":{"observed_at":"2026-08-10T22:12:23.986162Z","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":"2026-08-10T22:12:28.254752Z","title":"Classification using hyperdimensional com- puting: A review,","venue":null,"work_id":"7b463239-6c33-4fd6-8ca6-1727590e3d8e","year":2020},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.025123Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:f8741bb100ddfc67431ddf615daa187d280072ad1711d9e83de39cda1a6c837f","observation_id":"4f1f60e6-6662-4442-a205-c56419002c65","resolution":{"observed_at":"2026-08-10T22:12:28.284860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:28.114752Z","title":"A linear-time, optimization-free, and edge device-compatible hypervector encoding,","venue":null,"work_id":"15f409c3-3ce8-4121-8447-a3ff8b548a16","year":2023},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.064757Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:81cb23b63b0a1a0929574e7d3e304d054f6d6ace09dbab290ad587d9255bb5f4","observation_id":"2d27c45d-1296-4d26-8d7b-33d32df37e10","resolution":{"observed_at":"2026-08-10T22:12:28.164896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:27.952258Z","title":"P2LSG: Powers-of-2 low-discrepancy sequence generator for stochastic comput- ing,","venue":null,"work_id":"1fbd4b65-3607-4daf-b283-34c5a4181003","year":2024},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.124759Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:639559267927b19677d9176f5722ee0bc9e6efe56ee33b03b893bbe432cd4e75","observation_id":"f562b9ac-1d8b-4b09-858f-2b1a66adcabf","resolution":{"observed_at":"2026-08-10T22:12:28.000584Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9329.36634","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:12:25.310288Z","title":"Late breaking results: TriSC: Low-cost design of trigonometric functions with quasi stochastic computing,","venue":null,"work_id":"985ed740-ef07-493b-8238-cc8062c73f16","year":2024},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.174755Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:ca15bd481750c3dced46f40a57ba20bd678a1b4b598202162bcce2d8b1d58430","observation_id":"35369c68-d656-4837-a83e-a6fc1136a4c5","resolution":{"observed_at":"2026-08-10T22:12:25.384756Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:27.815371Z","title":"Ultra low- cost trigonometric functions design in stochastic computing,","venue":null,"work_id":"44f57a38-0d12-4474-bf06-9c876dcab533","year":2024},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.224822Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:cf00b0277843fa0b9181674f8932b6ab5ffa227c170dcd2bbd5e14ba0b2576a7","observation_id":"bc7c23da-32e8-4b02-9037-d994402c55aa","resolution":{"observed_at":"2026-08-10T22:12:27.864956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:27.655327Z","title":"Design of division circuits for stochastic computing,","venue":null,"work_id":"a842d874-f62f-42a8-a1d5-3ab6a43059ff","year":2016},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.248120Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:8239f52d4dc48acb300d290aea82573ff6b98cf41dbad6033c5ce48bc3c38dcd","observation_id":"ef94ffc8-579d-4eaf-ae3c-44c2a73bf7ed","resolution":{"observed_at":"2026-08-10T22:12:27.705085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:27.534780Z","title":"Low-cost and highly-efficient bit-stream generator for stochastic computing division,","venue":null,"work_id":"509c3d03-2f1b-46bd-b98b-17e17887966f","year":2024},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.278029Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:6bff83dd685048f8081e2fc26b46183897fb27bc4d8bb265af691c1d7ae626a0","observation_id":"8c6275e4-52bf-40d2-af68-4dbd090b634f","resolution":{"observed_at":"2026-08-10T22:12:27.572503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:27.424758Z","title":"EFFICIENT BIT-STREAM GENERATOR FOR ACCURATE STOCHASTIC COM- PUTING DIVISION,","venue":null,"work_id":"35107217-e29f-473c-8614-c8b0471898bd","year":2024},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.305355Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:6157fc94dff230e2d515cd45ec5eb907a5e835064f759f879b308bfa4b724ab4","observation_id":"7990fb4f-6293-4a96-9bd8-0062fffd397b","resolution":{"observed_at":"2026-08-10T22:12:27.464839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:27.294752Z","title":"No-multiplication deter- ministic hyperdimensional encoding for resource-constrained devices,","venue":null,"work_id":"17db80ff-2341-425b-b0d4-470a8b25654c","year":2023},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.344755Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:28800cb5719c1b77f322dd0f774302da1a88840d882afdb334dac84f23d86b58","observation_id":"642b3e91-1786-44eb-b43f-a9d76ee1a6e7","resolution":{"observed_at":"2026-08-10T22:12:27.329546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:27.134837Z","title":"METHOD FOR IMPROVED HYPERVECTOR ENCODING,","venue":null,"work_id":"e1a132e5-6071-44d2-ba9a-a32cc21bcd4f","year":2023},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.372309Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:1d307102dfd93f389c88d6d43f85e9e06b5b11eddea34d8d70535aca9fa6a330","observation_id":"49389739-54a0-4604-91ab-a4ee3bf4d4f9","resolution":{"observed_at":"2026-08-10T22:12:27.192118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:27.002855Z","title":"METHOD AND AR- CHITECTURE FOR ENCODING IMAGE DATA IN HYPERDIMEN- SIONAL COMPUTING SYSTEMS,","venue":null,"work_id":"cbc6e1ae-29ef-419c-b87b-ab0371f2e4b4","year":2024},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.406428Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:311fa2b8b42a712ee0ad2b6cbb83b0d827b2a327b526cf3ee72543d6cd9f299a","observation_id":"469dbf27-9d22-4e8d-9cd3-c807a4da4b37","resolution":{"observed_at":"2026-08-10T22:12:27.034517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:26.834892Z","title":"uHD: Unary processing for lightweight and dynamic hyperdimensional computing,","venue":null,"work_id":"334e2517-dd13-4d0b-a2c0-c98b4544e993","year":2024},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.444855Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:266efb4c3f5357fe7cfc5584a1ecc4fbf95064b74b934e9c75deba75915b41bb","observation_id":"b0955697-4605-4f03-9100-89afaf77bca9","resolution":{"observed_at":"2026-08-10T22:12:26.884766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:26.684761Z","title":"LIGHTWEIGHT UNARY ENCODER FOR EFFICIENT HYPERDIMENSIONAL COM- PUTING,","venue":null,"work_id":"44b61c43-f769-49ae-a8a6-a65c1f5b457e","year":2024},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.484762Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:bb043df2966fba111f086622130bea49a5f2ddbccf1709c275021c6759ec3d9e","observation_id":"12645bb6-965e-4200-bef4-d5cbfa9da00b","resolution":{"observed_at":"2026-08-10T22:12:26.734770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:26.544858Z","title":"All you need is unary: End-to-end unary bit-stream processing in hyperdimen- sional computing,","venue":null,"work_id":"cbc0ba5a-5d4d-49b6-80cd-d3392fa33692","year":2024},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.534014Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:5931d08494a5eb82870890febb82c40857a7d8dbe584ed301f8a5f7d14cae494","observation_id":"94dd76e4-26a3-4a15-86c4-7ace232ec992","resolution":{"observed_at":"2026-08-10T22:12:26.573745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:26.405473Z","title":"A programmable hyper-dimensional processor architecture for human- centric iot,","venue":null,"work_id":"25b577d4-6683-4125-89c9-250c094646e5","year":2019},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.594920Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:e8a2e5fe57896d0f1f49edd1edd6b02d51736b51303bf6e3c4da1eb1bd5c1847","observation_id":"fa3ad034-7c45-4cfe-b5e3-f61ec3448610","resolution":{"observed_at":"2026-08-10T22:12:26.451715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:26.244757Z","title":"Hyper- dimensional computing challenges and opportunities for ai applications,","venue":null,"work_id":"830612b1-87c8-4afc-ae6b-babf7c8a5403","year":2022},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.625533Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:0db91d1d96493bc4907c80505d5687cd8a13afb6a8692a85aa03f5f45af5ccb9","observation_id":"f621ec33-19e6-481d-86e0-c087c22901bc","resolution":{"observed_at":"2026-08-10T22:12:26.294755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:26.099086Z","title":"Fl-hdc: Hyperdimensional computing design for the application of federated learning,","venue":null,"work_id":"89a2ad9b-72ee-44d2-9fc7-bd583b3a66ce","year":2021},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.648937Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:5f120bde760bc156c4e153ef0988182a8bfedb5f824add459346cef7aa07ff72","observation_id":"3ef7a65d-b560-46b1-a118-cf98e9c96040","resolution":{"observed_at":"2026-08-10T22:12:26.127096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:25.996930Z","title":"Quanthd: A quantization framework for hyperdimen- sional computing,","venue":null,"work_id":"e7ab6564-db06-4cd1-a654-3527aa880622","year":2020},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.698898Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:d9aa62927f10765cd5cbe940c49be08964e97e5f9b3f18691b19cee14186dff4","observation_id":"e649846d-12cd-457d-bd94-0fd8471147cf","resolution":{"observed_at":"2026-08-10T22:12:26.031963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.04894","last_updated":"2022-04-01T01:26:24Z","snapshot_observed_at":"2026-08-13T16:26:43.784751Z","submitted_at":"2022-03-09T17:20:12Z","title":"A Brain-Inspired Low-Dimensional Computing Classifier for Inference on Tiny Devices","version":2},"cited_work":{"arxiv_id":"2203.04894","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.04894","snapshot_observed_at":"2026-08-10T22:12:25.145228Z","title":"A Brain-Inspired Low-Dimensional Computing Classifier for Inference on Tiny Devices","venue":"cs.LG","work_id":"650c64b9-4b07-47d8-95b7-c28d3f0e2d68","year":2022},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.745104Z"},"links":{"cited_paper":"/paper/2203.04894","citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:591d012a5f03591481cc4ba64ebb103c2f6da0d80b7adb1afda53fb0c0bddcce","observation_id":"b261582d-a8a2-4b62-aaf5-2be3584fd19c","resolution":{"observed_at":"2026-08-10T22:12:25.165357Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:25.836440Z","title":"Cyrus: A drl-based puncturing solution to urllc/embb multiplexing in o-ran,","venue":null,"work_id":"e7996911-a00e-4ac8-8928-b8f6a9487eff","year":2024},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.776132Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:ebcbe6cf432e9a08e457f8d73a05c615782c2bf67586a39d62a149c05b3b3fdd","observation_id":"ac44e0e8-beaa-4237-a36a-a9ea80a76625","resolution":{"observed_at":"2026-08-10T22:12:25.873364Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-10T22:12:24.843577Z","title":"Medmnist v2 - a large-scale lightweight benchmark for 2d and 3d biomedical image classification,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.843577Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:9b427b04b5588634b0e48ece40a58f68d635b5008b205b7c558dcada56cc75dc","observation_id":"d925999e-2f0e-43ec-bd20-f82b168860e7","resolution":{"observed_at":"2026-08-10T22:12:24.843577Z","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":"2026-08-10T22:12:25.737439Z","title":"Sobol sequence optimization for hardware-efficient vector symbolic architectures,","venue":null,"work_id":"75b3f1b7-fe45-4d00-ac75-b532118da001","year":2024},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:24.878398Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:3ffbcc0eea0e6d02bc76dcb633fa9fa54b9ed1bd67f71401aacaace239887e71","observation_id":"c3c78251-26bd-40d6-bb38-80073742a286","resolution":{"observed_at":"2026-08-10T22:12:25.764883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1315.36332","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:12:25.600336Z","title":"Available: https://doi.org/10.1145/3611315.3633265","venue":null,"work_id":"f4fc21da-a3b5-4927-8b44-8e0aeb62b070","year":null},"citing_paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-10T22:12:23.684919Z"},"links":{"citing_paper":"/paper/2501.02715"},"observation_digest":"sha256:2a081ff7996a84bcd94f3f2edaf7650ace7829ae79e8198daeae1917721ae28e","observation_id":"99ec5469-4f60-4a53-bfeb-55a78a6e8ea0","resolution":{"observed_at":"2026-08-10T22:12:25.650314Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.02715","last_updated":"2025-01-06T02:07:49Z","latest_version":1,"primary_category":"cs.ET","snapshot_observed_at":"2026-08-12T09:52:01.968327Z","submitted_at":"2025-01-06T02:07:49Z","title":"Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":3,"verified_exact":1,"verified_fuzzy":38},"total_outbound_references":44},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2501.02715."}