{"as_of":"2026-08-08T08:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:67b5cc55cc3826e18b5345d2f0e6721df7e8a520d41dacfb68c43697038189d9","coverage":[{"denominator":21,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T22:41:52.436081Z","state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2508.06676/citation-record","integrity":"/paper/2508.06676/integrity","json":"/paper/2508.06676/citation-record.json","paper":"/paper/2508.06676"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:41:52.632856Z","title":"How to prove your model belongs to you: A blind-watermark based framework to protect intellectual property of dnn,","venue":null,"work_id":"09d70c2a-fcc5-4c05-9337-2a5fa93965ee","year":2019},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.383534Z"},"links":{"citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:70d7d157c962ec2f2064fe4d1c639b22ec89d55419a6e1f7cd5e4c32ea74870a","observation_id":"1316ace1-f45e-4284-a136-02a2a007179e","resolution":{"observed_at":"2026-08-05T22:41:52.638636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:41:52.618604Z","title":"Margin-based neural network watermarking,","venue":null,"work_id":"f0420166-51dd-4850-b6ee-ab9584ac093e","year":2023},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.386656Z"},"links":{"citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:2595b76ac17fb4c940e111cb05d920b6a64eb36038093748d0d2f3db15f96b30","observation_id":"5724ebcd-eb57-4854-9457-45c40873c10b","resolution":{"observed_at":"2026-08-05T22:41:52.625052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:41:52.610614Z","title":"Customized and robust deep neural network watermarking,","venue":null,"work_id":"436de5ff-8665-403c-956a-d0fd2a9bbb20","year":2024},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.389518Z"},"links":{"citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:8a105851167d86a801248ee6ee6b8f6e72bcd363ddd6f2d09ee0b2a368845d91","observation_id":"8b339097-0a45-4b8d-b5c4-897aabd90901","resolution":{"observed_at":"2026-08-05T22:41:52.613571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:41:52.602798Z","title":"KAN: Kolmogorov–arnold networks,","venue":null,"work_id":"03b03d09-8464-4ac2-92ea-9d0c2a1e8b3c","year":2025},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.392174Z"},"links":{"citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:5c55304907b81665ac8564bd54eb73a73226523caa76836090446e098ee1085f","observation_id":"dcda6470-1371-4861-bec0-19d0c0bf2a7a","resolution":{"observed_at":"2026-08-05T22:41:52.605549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:41:52.593877Z","title":"On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition,","venue":null,"work_id":"e2dd7d3c-d300-4851-aa1e-a7aa4bb70f93","year":1957},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.394969Z"},"links":{"citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:d60f9b41da82abaf4df76143f38e7f6cdc0dfd4e449643f92157cf557b4dc73e","observation_id":"86425b71-03c5-4155-93c9-93dd63ef9384","resolution":{"observed_at":"2026-08-05T22:41:52.597108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07344","last_updated":"2025-07-14T14:09:59Z","snapshot_observed_at":"2026-07-06T18:13:16.171803Z","submitted_at":"2024-05-12T17:40:48Z","title":"TKAN: Temporal Kolmogorov-Arnold Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.07344","snapshot_observed_at":"2026-08-05T22:41:52.397616Z","title":"Tkan: Temporal kolmogorov-arnold net- works,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.397616Z"},"links":{"cited_paper":"/paper/2405.07344","citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:ff76a0a5923af2da1d8503fbd4e8ff0402795fe41754c338da56f6c0f9171bb0","observation_id":"ebe9c60c-8a49-49ce-aa90-5eba92939fee","resolution":{"observed_at":"2026-08-05T22:41:52.397616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00600","last_updated":"2024-06-02T03:11:37Z","snapshot_observed_at":"2026-07-06T18:23:52.659446Z","submitted_at":"2024-06-02T03:11:37Z","title":"Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00600","snapshot_observed_at":"2026-08-05T22:41:52.401149Z","title":"Kolmogorov-arnold network for satellite image classification in remote sensing,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.401149Z"},"links":{"cited_paper":"/paper/2406.00600","citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:b123a376d17b8c26075ce11bcf6e66db6f92f039eea08630c99597f6a99ebb42","observation_id":"db958d0a-f9a6-4ab8-8470-18ffeb171122","resolution":{"observed_at":"2026-08-05T22:41:52.401149Z","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":"2026-08-05T22:41:52.585497Z","title":"Embedding watermarks into deep neural networks,","venue":null,"work_id":"a8553bc3-5811-443e-9731-35cd79957b1e","year":2017},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.403968Z"},"links":{"citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:ec1887a81ba23350f49cdb7abb31b02c674b98191b84d5dc82f2a12527ed38f3","observation_id":"5dfa4008-9eb0-402a-9538-7e461768fee4","resolution":{"observed_at":"2026-08-05T22:41:52.588437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:41:52.577050Z","title":"Turning your weakness into a strength: Watermarking deep neural networks by back- dooring,","venue":null,"work_id":"5e5b90e8-2b56-483b-963f-aa5832714d33","year":2018},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.406396Z"},"links":{"citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:fa0d1b0c97ef8e1d4d79939b5fedbde76c559209ee6ee0acfa08a9f86e8e54b9","observation_id":"cd5edf9e-a10e-4a55-9f9a-315485b6e591","resolution":{"observed_at":"2026-08-05T22:41:52.579878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:41:52.568950Z","title":"Protecting intellectual property of deep neural networks with watermarking,","venue":null,"work_id":"921a06a8-0db8-4329-b58a-09cf4605a232","year":2018},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.408912Z"},"links":{"citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:d13a9b7c44863705b399d69d7163977b4bc1267e0d851b3f9f287fd40f12385b","observation_id":"de452630-9498-41d9-b379-19356a684ff2","resolution":{"observed_at":"2026-08-05T22:41:52.571716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:41:52.561241Z","title":"Deepipr: Deep neural network ownership verification with passports,","venue":null,"work_id":"29013be5-fd3a-4427-81f8-c17165c85c81","year":2021},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.411228Z"},"links":{"citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:1f0a69a7adc2a650a8aecba3bb3e40384d3b575532181db9fd4cf31ee1c03851","observation_id":"447b6795-994b-4486-a2e9-b704d7fe4ffd","resolution":{"observed_at":"2026-08-05T22:41:52.563957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:41:52.413701Z","title":"Multilayer feedforward networks are universal approximators,","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.413701Z"},"links":{"citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:3f0527b4e8ce754548a74459c350aa00ef8b5ee5b63da9bc74d80ff1a7b15441","observation_id":"37a49081-1b06-4aa7-a9a0-bc3ba5783b4b","resolution":{"observed_at":"2026-08-05T22:41:52.413701Z","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":"2026-08-05T22:41:52.547506Z","title":"On the representation of continuous functions of three variables by superpositions of continuous functions of two variables,","venue":null,"work_id":"5cd529fc-b9e1-4533-a99a-7a4b9cd05860","year":1959},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.416231Z"},"links":{"citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:7ce0949c0174e5b5d65b6b2a347fab85113bb3de3ec7c31ae62a2dd4e82a21e6","observation_id":"93926337-98e1-4bf4-9a61-40cb590ab398","resolution":{"observed_at":"2026-08-05T22:41:52.550808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:41:52.538693Z","title":"Kolmogorov, On the representation of continuous functions of several variables by superpositions of continuous functions of a smaller number of variables","venue":null,"work_id":"209f3f7c-2d5f-4545-b420-259037dc6565","year":1961},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.418733Z"},"links":{"citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:8293fbbd1ae359af86022aa3371079bcc0a831affdb7414d4daab79d7eac862a","observation_id":"930deef4-5049-438f-9fe9-e2d87195e350","resolution":{"observed_at":"2026-08-05T22:41:52.541949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19143","last_updated":"2024-08-07T04:24:19Z","snapshot_observed_at":"2026-07-06T18:22:01.301152Z","submitted_at":"2024-05-29T14:48:49Z","title":"DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problems","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.19143","snapshot_observed_at":"2026-08-05T22:41:52.421127Z","title":"Deepokan: Deep operator network based on kolmogorov arnold networks for mechanics problems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.421127Z"},"links":{"cited_paper":"/paper/2405.19143","citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:f626da423b0eefe1d3e457c07c69350107bce22df820354d1db1b4af1513a621","observation_id":"f4db7c35-bdc7-419b-a09b-47310e9cfcde","resolution":{"observed_at":"2026-08-05T22:41:52.421127Z","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":"2026-08-05T22:41:52.529490Z","title":"Discrete cosine transform,","venue":null,"work_id":"6680b5c3-f248-4f14-bcb1-bb6c925b5bb0","year":1974},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.423880Z"},"links":{"citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:0a9afe6e45365a3dbc8bb16974d16fd71449833193ab1afac01160d9d06d50c9","observation_id":"4ad21c96-9ce8-44ea-8796-4df50d609b83","resolution":{"observed_at":"2026-08-05T22:41:52.532513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:41:52.521076Z","title":"The mnist database of handwritten digit images for machine learning research,","venue":null,"work_id":"43c684ed-88bb-4acc-9a71-fc0327e6ad5b","year":2012},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.426214Z"},"links":{"citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:61308c852adb5734762c64db78f71f2b4e8f34f011c2180d47e5b258e316cf08","observation_id":"aedf4e18-9921-4352-81c8-0785178a3a74","resolution":{"observed_at":"2026-08-05T22:41:52.523902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:41:52.512625Z","title":"Ai feynman: A physics-inspired method for symbolic regression,","venue":null,"work_id":"26774c0d-f646-41d3-a8fe-7521103c4f01","year":2020},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.428656Z"},"links":{"citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:7912279764a31c50c5ec60c2430cb8f97103fb0f4192aab19e9f3a92dcca877f","observation_id":"beb406c1-f250-4d4c-869d-8bf0b87e86be","resolution":{"observed_at":"2026-08-05T22:41:52.515698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:41:52.504019Z","title":"Ai feynman 2.0: Pareto-optimal symbolic regression exploiting graph mod- ularity,","venue":null,"work_id":"8b0ee716-10a9-48cd-9b90-e47214980d2a","year":2020},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.431067Z"},"links":{"citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:6ee10b5c9aefef60e4840a9133e3ae8a951f86162307553113af17cc1bc53f6e","observation_id":"03f0569a-9997-490d-bfb4-4388260ac2d7","resolution":{"observed_at":"2026-08-05T22:41:52.506866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:41:52.493327Z","title":"Reproducibility materials (codes, models, and documents),","venue":null,"work_id":"7f1428b9-32d0-4792-938c-ccc81939fa0e","year":2025},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.433527Z"},"links":{"citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:0061fdd7d8059f49293850093687a725dc3247cc8efae0dedb0c6df97c275843","observation_id":"84614177-457c-449d-8025-65bf2c5a05c6","resolution":{"observed_at":"2026-08-05T22:41:52.498095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1708.07747","last_updated":"2017-09-15T21:29:49Z","snapshot_observed_at":"2026-07-06T05:56:41.814255Z","submitted_at":"2017-08-25T14:01:29Z","title":"Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.07747","snapshot_observed_at":"2026-08-05T22:41:52.436081Z","title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T22:41:52.436081Z"},"links":{"cited_paper":"/paper/1708.07747","citing_paper":"/paper/2508.06676"},"observation_digest":"sha256:e1ca1457e483d3c9502595507d6ae6d40ac8d159f101724f4715c866627fc668","observation_id":"6e63b595-3a6d-49fe-988f-7c411d627dd3","resolution":{"observed_at":"2026-08-05T22:41:52.436081Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.06676","last_updated":"2025-08-08T19:51:59Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T08:13:29.262214Z","submitted_at":"2025-08-08T19:51:59Z","title":"Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation"},"reference_resolution":{"displayed":21,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":16},"total_outbound_references":21},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2508.06676."}