{"as_of":"2026-08-14T12:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:14a2fc54eb1d608bad15cdd524a4a04cb5a7de097d1573b9cd318f8c66cd0dd6","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:53:19.349258Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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/2505.17623/citation-record","integrity":"/paper/2505.17623/integrity","json":"/paper/2505.17623/citation-record.json","paper":"/paper/2505.17623"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:53:25.597769Z","title":"Accountable magic: Ai alignment and governance, 2025","venue":null,"work_id":"a7790a71-584d-49b4-bb6a-9f587bb0f259","year":2025},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:16.379618Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:cd868dffc6fa752265fb04f1aa9ced91c8e7dad1fd7b08234576c9f80f826f0f","observation_id":"ba4c2189-73fc-4906-8c5b-5c061f575058","resolution":{"observed_at":"2026-08-07T14:53:50.960372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:25.552383Z","title":"The sum-check protocol over fields of small characteristic","venue":null,"work_id":"b19fd257-589a-4edd-8d0c-d255948560c4","year":2024},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:16.449350Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:a5ceb8239330b4908da4c65d2ea49bc600b715c13955b27bc8626fbb19f90a34","observation_id":"d787b075-d475-4db6-b0ce-afbda2212789","resolution":{"observed_at":"2026-08-07T14:53:25.591092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:25.379193Z","title":"Deep learning, volume 1","venue":null,"work_id":"882a954b-2f88-4307-9a54-126610490b15","year":2017},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:16.516837Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:5f3ea5acc4a3ee18239f235d434ad776cd7d40b3a151f6c5677302778735958b","observation_id":"d2e6fde2-ba41-4d7c-a279-3820770d561a","resolution":{"observed_at":"2026-08-07T14:53:25.453904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:25.263111Z","title":"Sumcheck arguments and their applications","venue":null,"work_id":"334c9e4d-ec52-44c3-aa81-86d206a22a99","year":2021},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:16.616694Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:c6c7b6af1a8e99ff9e66feb50d89e0186a32235c880be153bb74acceadc18779","observation_id":"52e3855b-a328-41c8-afa7-67349aecca6e","resolution":{"observed_at":"2026-08-07T14:53:25.312706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:25.062289Z","title":"Bulletproofs: Short proofs for confidential transactions and more","venue":null,"work_id":"56d369ec-9d1c-4c97-a6e4-34750c67c2be","year":2018},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:16.766976Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:f1aa1d0066786eda3135e8289b53012355c2a7285e437a03cb8949d226209007","observation_id":"8f033ce9-1723-4cd8-a82a-223bd4528000","resolution":{"observed_at":"2026-08-07T14:53:25.165601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:24.895084Z","title":"Interactive proofs for rounding arithmetic","venue":null,"work_id":"a91bfbf4-740f-4428-a267-e7b3017d082d","year":2022},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:16.862661Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:d5fe88344937b38be7c84fa6fe10b5aabe6009959418a454f3c3ef74efc725d0","observation_id":"2b7b5b39-4b92-456c-bb53-7e4a3e214302","resolution":{"observed_at":"2026-08-07T14:53:24.988252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:24.748903Z","title":"More optimizations to sum-check proving","venue":null,"work_id":"bebd0ee1-a470-4927-a875-28d57bf2737b","year":2024},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:16.946825Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:6611d9e567194dfab0b005d634413ea59f2597197e37b78c43b8f61036a0770c","observation_id":"93b4975b-2608-4bab-8ac6-bd2451f0acae","resolution":{"observed_at":"2026-08-07T14:53:24.815471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:17.076305Z","title":"The mnist database of handwritten digit images for machine learning research","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:17.076305Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:1e5256a61b8cdb472ffc554bf38e06d54fb17a53636fe9b71c6c62808d15ea4b","observation_id":"63a715ad-ebfb-4a5b-9813-f0d1f6512fa5","resolution":{"observed_at":"2026-08-07T14:53:17.076305Z","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":"2026-08-07T14:53:24.617098Z","title":"EZKL: Zero-knowledge machine learning, 2025","venue":null,"work_id":"57f652b8-d787-4f3b-839f-3c1437cb1b74","year":2025},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:17.170979Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:bc6d23b5b43496dec27a2d7fb0b84cd44566dd7c9d0b1bdefee0074374f4c36d","observation_id":"834abe0e-4e6b-4d64-9ede-2ee064c26949","resolution":{"observed_at":"2026-08-07T14:53:24.688238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:24.417159Z","title":"Succinct zero knowledge for floating point computations","venue":null,"work_id":"c9dfd9e0-c52d-4ec5-a121-980065ec4147","year":2022},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:17.261610Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:5b27ce97a6401624b408cddb107bc3fd85dc3bc976727d6d00c4c5835b0ee517","observation_id":"5030d8cd-7666-4174-bb5e-855f50d2e205","resolution":{"observed_at":"2026-08-07T14:53:24.514218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:24.169727Z","title":"Experimenting with zero-knowledge proofs of training","venue":null,"work_id":"bb941b33-fc73-4e08-a8fe-dda3e3069705","year":2023},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:17.331680Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:f5bd48fe536602d4f4d5bc90dc08146ebbba41e792f1c8366261a11a4d01c501","observation_id":"e22dd29c-668a-40cc-ab53-f75e0742d648","resolution":{"observed_at":"2026-08-07T14:53:24.282991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:23.883514Z","title":"Safetynets: Verifiable execution of deep neural networks on an untrusted cloud","venue":null,"work_id":"110493b6-e96c-43b6-a603-9baae352b5f2","year":2017},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:17.426866Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:885f3398003da9b5573fc5d93131f62f5c0e475ecac765670f92de3b656712d9","observation_id":"0c0f5ccb-bb03-43ae-a368-df71b5864aed","resolution":{"observed_at":"2026-08-07T14:53:24.020095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:23.596024Z","title":"Efficient sum-check protocol for convolution","venue":null,"work_id":"c950df78-0be4-4a83-9c9c-82d8ee695490","year":2021},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:17.522737Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:dbbcdb91e793a896ce2772b702bbeffc5efa4a6aa3c264dac8d05a281404dfd3","observation_id":"834e2428-d655-4800-ab8d-e8c128d45bd5","resolution":{"observed_at":"2026-08-07T14:53:23.714957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:23.408030Z","title":"Snargs and ppad hardness from the decisional diffie-hellman assumption","venue":null,"work_id":"b456ba61-3d97-44d0-9f7a-56849d478285","year":2023},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:17.592605Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:0d93cdc02a4a7fdefce643e2831a926f64d74a0ce7e56eea8d0bd8dc002fe0de","observation_id":"21c0c345-f2cc-4138-aeec-433cf8783b0a","resolution":{"observed_at":"2026-08-07T14:53:23.491177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:23.258292Z","title":"Sparsity-aware protocol for zk-friendly ml models: Shedding lights on practical zkml","venue":null,"work_id":"03a21652-1122-4bfe-a677-83b4456436db","year":2024},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:17.651697Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:ff8653082e53e99a68ad9a16a0f62061e693a96541e5c1f0ddba3110f6bfb49d","observation_id":"44dd1586-3300-47a1-bd33-1ec1b8b1d85f","resolution":{"observed_at":"2026-08-07T14:53:23.331825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12055","last_updated":"2025-06-13T15:03:21Z","snapshot_observed_at":"2026-08-14T10:59:06.381275Z","submitted_at":"2024-09-18T15:30:29Z","title":"Artemis: Efficient Commit-and-Prove SNARKs for zkML","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12055","snapshot_observed_at":"2026-08-07T14:53:17.728177Z","title":"Artemis: Efficient commit-and-prove snarks for zkml","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:17.728177Z"},"links":{"cited_paper":"/paper/2409.12055","citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:42834cab4561678a1c5fcaf614a1b9647ec09e6d0462287415efc5854c53f04e","observation_id":"fedcc26d-d03b-412e-a56f-bd67894c85fb","resolution":{"observed_at":"2026-08-07T14:53:17.728177Z","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":"2026-08-07T14:53:23.133140Z","title":"Noya: Ai-powered infrastructure for zero-knowledge proofs, 2025","venue":null,"work_id":"e988c158-f76b-4630-aa17-a29b9682b428","year":2025},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:17.785246Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:55ddcd03ae9580f646a150321aecd955b208a35d7382771d452e5349bddd4c94","observation_id":"5bd5a817-7a76-4b3e-9f50-e0cfb49d0007","resolution":{"observed_at":"2026-08-07T14:53:23.193889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:22.965580Z","title":"Pinocchio: Nearly practical verifiable computation","venue":null,"work_id":"09ff2f4b-7762-4abe-a553-0833d905cf52","year":2016},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:17.855847Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:4f1ff0f05520e19ce4b483df1ef32a4a63a16eddc80f1537908e3c64ee5e7c2b","observation_id":"8b08de96-e0c3-473b-afff-a08ae6d09c1e","resolution":{"observed_at":"2026-08-07T14:53:23.053697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.18535","last_updated":"2026-03-29T15:59:38Z","snapshot_observed_at":"2026-08-09T20:22:47.797639Z","submitted_at":"2025-02-25T05:04:27Z","title":"A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.18535","snapshot_observed_at":"2026-08-07T14:53:17.908968Z","title":"A survey of zero-knowledge proof based verifiable machine learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:17.908968Z"},"links":{"cited_paper":"/paper/2502.18535","citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:0ba12e6a9b747ea72f352745592c604efffc00eff23e31a3ef5b948427fec4c7","observation_id":"29a06769-359b-495c-a103-7e672536f86a","resolution":{"observed_at":"2026-08-07T14:53:17.908968Z","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":"2026-08-07T14:53:21.413901Z","title":"Polygon zkEVM: Ethereum scaling with zero-knowledge proofs, 2025","venue":null,"work_id":"3277c92a-7420-4124-9113-6a25086f6bcf","year":2025},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:17.983600Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:f96855f8622032a128cf9eddc4f8cfd7b7eb619baf740674f00fefe4b72cc9e7","observation_id":"ad6d2988-e51b-474b-81b6-84d199d40b84","resolution":{"observed_at":"2026-08-07T14:53:22.885104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:21.261153Z","title":"Provably: Trustless ai verification, 2025","venue":null,"work_id":"58030e58-9809-4a7b-a255-fbcd51f55b35","year":2025},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:18.048425Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:9b570e6e7e05b1490069c98a32f40aa7ce04994c7a9dc04b833f988c817146a3","observation_id":"ac8da78a-84eb-47a6-8a36-52fa2f1dc1c6","resolution":{"observed_at":"2026-08-07T14:53:21.322589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:21.150427Z","title":"Fast probabilistic algorithms for verification of polynomial identities.Journal of the ACM (JACM), 27(4):701–717, 1980","venue":null,"work_id":"ac8295f3-0975-4adf-81f3-f03f7906dd9f","year":1980},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:18.147886Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:1f2bf7d5cb4351e4d2f286f0ece52826cd21b0890f96619b48fdc5808243bc5f","observation_id":"057c027a-5702-430e-a87b-6f9c0a10a8b7","resolution":{"observed_at":"2026-08-07T14:53:21.201586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:21.021917Z","title":"Proofs, arguments, and zero-knowledge","venue":null,"work_id":"d813f963-31bc-4571-9aab-29bd71431aaf","year":2022},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:18.272142Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:c2b251190c610107e84ff2343cd88e0e5bb6f253a37987849c1e7fe476ad2208","observation_id":"2771fa69-99b5-4a0c-8967-1faaba081246","resolution":{"observed_at":"2026-08-07T14:53:21.076279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:20.863855Z","title":"Mystique: Efficient conversions for {Zero-Knowledge} proofs with applications to machine learning","venue":null,"work_id":"e70ab37f-25c4-42b8-942c-ab7b0cb8dff8","year":2021},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:18.403274Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:8546de8e06c3da3e97f6549c5115e49d278a12051fb3fe2df3f8213bd87aa50d","observation_id":"d109cfd2-e3f7-4418-866a-62acaa427265","resolution":{"observed_at":"2026-08-07T14:53:20.958526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:20.736274Z","title":"pvcnn: Privacy- preserving and verifiable convolutional neural network testing","venue":null,"work_id":"07235c60-6685-445b-9abb-7e146e55b401","year":2023},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:18.507047Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:0ab5caff3f0f2df11612d47d645d0c4f1b8f7581cfe4e4d5431dec3920441b42","observation_id":"2921e33c-0dbb-4e0c-9269-2db695cab384","resolution":{"observed_at":"2026-08-07T14:53:20.784485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:20.582465Z","title":"Validating the integrity for deep learning models based on zero-knowledge proof and blockchain","venue":null,"work_id":"880462ad-00c0-4fa5-9309-84315866859e","year":2024},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:18.615574Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:12a8e5030948e2f385427633fe81ca0927d23e7df18e8c2ca48540226202950a","observation_id":"559e62c5-8ad4-468d-860d-aa658cf15e1b","resolution":{"observed_at":"2026-08-07T14:53:20.678996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:20.461973Z","title":"Probabilistic algorithms for sparse polynomials","venue":null,"work_id":"1d74d05c-3add-49ac-86a6-0a32e2132085","year":1979},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:18.742022Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:dd4d1d5f803429b7786d0dd210a9ebf7d70137cde1f08c5996da428ec567c9f1","observation_id":"6cf0021e-94b8-4cd7-b06e-ca835de6287e","resolution":{"observed_at":"2026-08-07T14:53:20.514009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:20.335395Z","title":"zkAGI: Zero-knowledge artificial general intelligence, 2025","venue":null,"work_id":"37555cf0-5ad2-4c4a-9a70-eaaf7da01250","year":2025},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:18.851268Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:a9b0e59853213d3c9f7e86c7d8beef53e954079fd83016cdabc496b4e0068682","observation_id":"7460ef40-f726-4cc3-846e-715dbce7a04a","resolution":{"observed_at":"2026-08-07T14:53:20.400029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:20.103810Z","title":"ZKML: Zero-knowledge machine learning systems, 2025","venue":null,"work_id":"27a52f1d-d710-45e2-83e2-ebeecfe435f6","year":2025},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:18.993979Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:fdb975cd8504516b4bdb7dc07754b3ed49d04550fcbe4549d6de61bb055c2913","observation_id":"6caf21b5-fd68-46e7-a64a-5c07708f9e93","resolution":{"observed_at":"2026-08-07T14:53:20.219019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:19.924644Z","title":"From these inequalities, we deduce that −2t+s+2 + 1≤ (e2 − e1) + 2s × (a′ 2 − a′","venue":null,"work_id":"1a59cf70-0a88-4497-ac48-a26c1e2a9391","year":null},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:19.118901Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:ce71f1960e46cec1eeb1db5c3172ee60088b931410fbee08b84a123bbf6f897c","observation_id":"c10b230b-ca16-4f10-a2f0-660520bcae94","resolution":{"observed_at":"2026-08-07T14:53:20.020057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:19.689153Z","title":"Since p has at least s + t + 3bits, we can conclude that 2s+t+2 ≤ p","venue":null,"work_id":"845dc566-894d-4790-85e9-b7ea96824083","year":null},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:19.224191Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:3f59ea1b7d617d688cf0cf79614fb3bd7d521a7b0378d60a75c0a92be1e754b0","observation_id":"992c89f8-fcea-49c1-86b5-5f5c742acdbe","resolution":{"observed_at":"2026-08-07T14:53:19.821184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T14:53:19.519669Z","title":"Given the bounds on e1 and e2 as well as the multiple of 2s, it follows that e1 = e2, and consequently, a′ 1 = a′ 2","venue":null,"work_id":"54eb60e0-a077-4acf-b1c7-e30310c5a566","year":null},"citing_paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T14:53:19.349258Z"},"links":{"citing_paper":"/paper/2505.17623"},"observation_digest":"sha256:9e438804315e7275fb6a9085a27acb75b86b54f0cca814dcd12595e102c0313e","observation_id":"aaab3724-5936-45a9-9a37-2c3cf1c32cc1","resolution":{"observed_at":"2026-08-07T14:53:19.590882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.17623","last_updated":"2026-06-09T21:14:59Z","latest_version":2,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-09T20:23:10.669736Z","submitted_at":"2025-05-23T08:33:50Z","title":"\\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":29},"total_outbound_references":32},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2505.17623."}