{"as_of":"2026-08-18T22:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cca60cee2083efe1ec6baff66d8619e82ae482270a4e7411b9dc5647a08a6034","coverage":[{"denominator":34,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:24:25.753331Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2505.15363/citation-record","integrity":"/paper/2505.15363/integrity","json":"/paper/2505.15363/citation-record.json","paper":"/paper/2505.15363"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:24:23.214005Z","title":"Lunney, J","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:23.214005Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:2feac25d11b18f9393c2981dd0933c0370c783d3f61b084e8afd3ee3ee914057","observation_id":"61eeddbf-109e-490d-b2ac-29856afea946","resolution":{"observed_at":"2026-08-07T15:24:23.214005Z","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":"2026-08-07T15:24:29.333379Z","title":"Myers, W","venue":null,"work_id":"560e8cd2-d4f3-4ab9-88d1-575ff3714930","year":1974},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:23.247376Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:ca7895d82613ba92b090790e1945d45f46bdbd4cc3f04b3b67e34412bb7c5404","observation_id":"3bc3278f-9ffe-437e-ad3b-3508f9ba0bfe","resolution":{"observed_at":"2026-08-07T15:24:29.407987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevc.52","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:24:26.635328Z","title":null,"venue":null,"work_id":"a6a11829-9dbe-494b-897b-7906b0377b92","year":1995},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:23.356656Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:9d4930cddd00c4b82c5df657f5198e27483f0493bd590c7dd3c4f49176d1e49a","observation_id":"68e62402-59cd-4fe6-a5d8-fc4ec7eada8a","resolution":{"observed_at":"2026-08-07T15:24:26.699113Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-07T15:24:23.443556Z","title":"Koura, T","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:23.443556Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:7d98ad773932ebda423836d91e953efc70f78aaa06d6c4a768376312c6dc3568","observation_id":"761c0d02-8bb5-4c69-ae21-03e53246c375","resolution":{"observed_at":"2026-08-07T15:24:23.443556Z","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":"2026-08-07T15:24:29.141715Z","title":null,"venue":null,"work_id":"35e4f5e5-25eb-4d94-99ef-51b9706116fd","year":2014},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:23.499209Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:a9927b10167f86e5c131653797c431433c37d50698ece670892684bcf1246406","observation_id":"12e76030-07c1-4c0e-807b-9dc79d04f4f8","resolution":{"observed_at":"2026-08-07T15:24:29.253204Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1508.06294","last_updated":"2015-08-25T20:22:32Z","snapshot_observed_at":"2026-08-14T22:35:14.722327Z","submitted_at":"2015-08-25T20:22:32Z","title":"Nuclear ground-state masses and deformations: FRDM(2012)","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1508.06294","snapshot_observed_at":"2026-08-07T15:24:23.554967Z","title":"M¨ oller, A","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:23.554967Z"},"links":{"cited_paper":"/paper/1508.06294","citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:e2c6dba5e7d1467bd03e939256f9ce2da2cebea5779e361549ab793e39c59b96","observation_id":"e150386b-ccbb-4f55-9c5d-71d72e07b4bd","resolution":{"observed_at":"2026-08-07T15:24:23.554967Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:24:23.627360Z","title":"Utama, J","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:23.627360Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:de2bba7f4476dd49793cc6119600805aec282e09636be5d912e6f07b32bd3436","observation_id":"e7b1addd-0d45-4f3c-bef7-55158350a7c7","resolution":{"observed_at":"2026-08-07T15:24:23.627360Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:24:23.664010Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:23.664010Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:02f2e694527c00c37ee8a1224ac6f6400000ebefc7ac56d48e9b4c54d80c9374","observation_id":"03cf2dca-face-4bce-8cba-ddd8c27106c0","resolution":{"observed_at":"2026-08-07T15:24:23.664010Z","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":"10.1103/physrevc.106.014305","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Physical review. C","work_id":"ddb70708-fb13-4239-9d9b-6b77c4b08a67","year":2022},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:23.778978Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:fadbc09e4784e14e6d7fcedc5456d001add1920f00e74d956f153ae7349d6c8f","observation_id":"11dec650-cde8-46fc-88d2-f131b23aa498","resolution":{"observed_at":"2026-08-07T15:24:26.514499Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevc.106.l021301","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Physical review. C","work_id":"21b34292-bb50-4911-9959-adcbb70e72dc","year":2022},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:23.880141Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:37cdc10b0c5a8117f0a23d8574da5258fc0953a92b2473d2df691e46afe48a38","observation_id":"351e8729-0316-45bd-a42b-c822a143da60","resolution":{"observed_at":"2026-08-07T15:24:26.348707Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-07T15:24:23.959521Z","title":"Boehnlein, M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:23.959521Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:28e9e41b7af9eb3ea56fdb7fcaeeb33605021ac7fe28a9519468f7e48b16a85f","observation_id":"73a26d4c-44f8-4c53-8579-559ee2c8514d","resolution":{"observed_at":"2026-08-07T15:24:23.959521Z","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":"10.1109/37.158898","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Barnard, L","venue":"IEEE Control Systems","work_id":"5b4a8ff4-8ecd-491f-9b76-6716748ec5ab","year":1992},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:24.074952Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:dc7938aa9597cb1d44fc98bd989af1c56b9dcb101eab70b573a981a29128b8c3","observation_id":"cc1d9b9b-7270-41c6-adef-2f913e4c1692","resolution":{"observed_at":"2026-08-07T15:24:26.187649Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1992.22729","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:24:27.223334Z","title":"Haley, D","venue":null,"work_id":"b92bd22c-135e-4320-8e93-c780206e257e","year":1992},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:24.141317Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:e07f5263daf39b936c58baa9361abf963b54e301c96799539eb2a5d3a23d3540","observation_id":"e355cad7-4165-495f-933e-698ec1c32f63","resolution":{"observed_at":"2026-08-07T15:24:27.296375Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1610.02995","last_updated":"2016-10-10T16:47:36Z","snapshot_observed_at":"2026-08-15T22:16:06.908843Z","submitted_at":"2016-10-10T16:47:36Z","title":"Extrapolation and learning equations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1610.02995","snapshot_observed_at":"2026-08-07T15:24:24.194303Z","title":"Martius, C","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:24.194303Z"},"links":{"cited_paper":"/paper/1610.02995","citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:be88b4d3c92b89f2223c4156b06efe77f9d2fd0313ddd720b72ce3f3a9b23946","observation_id":"6511909a-35d2-4f6b-b4c3-faaa5a101279","resolution":{"observed_at":"2026-08-07T15:24:24.194303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.00667","last_updated":"2018-06-28T21:25:21Z","snapshot_observed_at":"2026-08-15T10:42:40.362085Z","submitted_at":"2018-06-02T16:43:17Z","title":"Sufficient Conditions for Idealised Models to Have No Adversarial Examples: a Theoretical and Empirical Study with Bayesian Neural Networks","version":3},"cited_work":{"arxiv_id":"1806.00667","doi":null,"metadata_source":"pith","pith_arxiv_id":"1806.00667","snapshot_observed_at":"2026-08-07T15:24:27.009164Z","title":"Sufficient Conditions for Idealised Models to Have No Adversarial Examples: a Theoretical and Empirical Study with Bayesian Neural Networks","venue":"stat.ML","work_id":"bb7b7b1f-c328-46ed-a85e-71f6b6a8f732","year":2018},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:24.289857Z"},"links":{"cited_paper":"/paper/1806.00667","citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:f089df61bcdb0f2bb166bbdb78f109e22cca67c7bd0b06adffee190cdc23e6a8","observation_id":"88704bd5-86b3-4c57-a4ec-8ec8d4c4d8a4","resolution":{"observed_at":"2026-08-07T15:24:27.077308Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-07T15:24:24.339417Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:24.339417Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:987d54609f7b5ed4d081f161c7e43757631c992bd1ed46b33e18806f8da69b10","observation_id":"0a0a4b0a-eb45-4d67-bad5-0ef13b9bd669","resolution":{"observed_at":"2026-08-07T15:24:24.339417Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1712.01312","last_updated":"2018-06-22T14:54:59Z","snapshot_observed_at":"2026-08-14T20:07:02.711956Z","submitted_at":"2017-12-04T19:20:27Z","title":"Learning Sparse Neural Networks through $L_0$ Regularization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.01312","snapshot_observed_at":"2026-08-07T15:24:24.429562Z","title":"Louizos, M","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:24.429562Z"},"links":{"cited_paper":"/paper/1712.01312","citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:53246281a4e92285112224f6dcb1ac03f4a9793ec287f8dc50d8a148e358d004","observation_id":"f3e27f73-aac5-456b-875b-623a9b015609","resolution":{"observed_at":"2026-08-07T15:24:24.429562Z","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":"2026-08-07T15:24:28.886153Z","title":null,"venue":null,"work_id":"0e64ef27-577c-4d71-91c1-928e94ac84ff","year":2021},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:24.529025Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:86f9cce180aef322dbaf8be70ea92eababd76254464fd49870733efeecb2e9ee","observation_id":"05ef0358-6b65-4e89-a279-f2817be7772a","resolution":{"observed_at":"2026-08-07T15:24:28.995543Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-07T15:24:28.620319Z","title":"Buhrmester, D","venue":null,"work_id":"a628710f-c7e3-4a79-b70d-ebc1a8c32117","year":2021},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:24.603725Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:eafbb9a36d9373e1fdbd3aeeb4f5b14b7ba512c7bb8becc1cfb06ddc06fbfb56","observation_id":"0e418936-bcf2-466d-b1dc-ae56653757fb","resolution":{"observed_at":"2026-08-07T15:24:28.768578Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/mci.2022","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:24:25.911985Z","title":null,"venue":null,"work_id":"1f6f602f-4f7b-47dd-8bf4-bc0ad627124f","year":2022},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:24.651051Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:83142713fe27bb6e41d103564c444a152beb8963ac9792346921e09af96e64a1","observation_id":"14ec0c4d-8664-41e1-970c-77027d7ee347","resolution":{"observed_at":"2026-08-07T15:24:25.991401Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-07T15:24:24.714622Z","title":"Schmidt, H","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:24.714622Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:dd8b19b43d64a6ca91fb61f391445a2d0579661f4618765cb9e33392a195d5dd","observation_id":"1606e72e-c5e3-47bc-a23d-635ce361337d","resolution":{"observed_at":"2026-08-07T15:24:24.714622Z","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":"2026-08-07T15:24:29.487550Z","title":"Specifically, the bound range of mass excesses was set to [−0.1, 2] u (atomic mass unit) by defining B1, B2=0.95, 1.05 u","venue":null,"work_id":"97561b3d-e8aa-4baf-b8be-4fb8e19220d4","year":2024},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:23.189197Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:ba6e5119a86e928b79b9066888a3669cd2987735d507cafa5fa0c4cf5c954ff7","observation_id":"da3dd501-7e7a-46c2-8d8d-dd257ea54ba8","resolution":{"observed_at":"2026-08-07T15:24:29.558181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-07T15:24:24.833603Z","title":"Udrescu, M","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:24.833603Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:536ea9af8ef76ac1d7ecc724afda38601c89ec0833cad3f49a37a5788edf78da","observation_id":"cf6c0f44-cad4-4b6f-960b-56ea58e222de","resolution":{"observed_at":"2026-08-07T15:24:24.833603Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-07T15:24:28.483434Z","title":"Sahoo, C","venue":null,"work_id":"029634b4-8da5-4d8b-8c71-d37000208bfa","year":2018},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:24.779387Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:c77b3ee667f94c88692d73f37b8220f1a9da211051d1c1ff6ff4d9b8ddcc5b2d","observation_id":"e6354371-3f65-469a-96ca-57f157526059","resolution":{"observed_at":"2026-08-07T15:24:28.540677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-07T15:24:28.336093Z","title":null,"venue":null,"work_id":"18f9db03-27af-455c-a113-bdd126701bc5","year":2019},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:24.956128Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:375eadeb784f6ad5f8449e36420ee43f61e36e440b1a12addbe06a4b68eb56fe","observation_id":"55084655-3871-4136-a5b6-7fb8c590957b","resolution":{"observed_at":"2026-08-07T15:24:28.408623Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.06331","last_updated":"2021-05-13T14:37:25Z","snapshot_observed_at":"2026-08-17T05:55:39.610964Z","submitted_at":"2021-05-13T14:37:25Z","title":"Informed Equation Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.06331","snapshot_observed_at":"2026-08-07T15:24:24.880987Z","title":"Werner, A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:24.880987Z"},"links":{"cited_paper":"/paper/2105.06331","citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:3187abdc9299cb8fc16b24edbba1cf39e065312f7882500079147af2c09a680b","observation_id":"6ca90b61-87ba-43eb-9415-02927e1fe8bf","resolution":{"observed_at":"2026-08-07T15:24:24.880987Z","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":"2020.30170","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:24:26.862536Z","title":null,"venue":null,"work_id":"aee96881-8b86-44e1-abe4-68004df017d0","year":2021},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:25.143492Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:a55ddfab6adb934a71e45f6555d899f442ff721e40a848375624f28e845bedb5","observation_id":"357e85fc-2152-47bf-9710-a0629444bcd0","resolution":{"observed_at":"2026-08-07T15:24:26.922560Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-07T15:24:28.181354Z","title":null,"venue":null,"work_id":"27f69ab6-9b3e-46a5-9f0e-e5221f1f9603","year":2022},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:25.070384Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:41c5f3a13b25fd0e5551f33f5c23823892e6c7c470a6aee4cf94fc63f8b46581","observation_id":"5dec45e9-f13f-4731-b5c7-dc1f21ff222b","resolution":{"observed_at":"2026-08-07T15:24:28.266162Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-07T15:24:25.337930Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:25.337930Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:6bcbb1dd58dcb683502de53f94890ac1ecb2ee4d4f27ad00e83e83a629ff8ef9","observation_id":"b6abf6d5-980f-4ce9-ac08-5770823a1cd8","resolution":{"observed_at":"2026-08-07T15:24:25.337930Z","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":"2026-08-07T15:24:27.999476Z","title":null,"venue":null,"work_id":"7170c2f9-5147-4315-b2c5-9504ac3a5c15","year":1966},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:25.227549Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:a21cb5ed9756dd70a0b740717d388a99cd82e4586173656bee947c64b0bb7202","observation_id":"5298fe5b-0c60-43dd-990b-3b87629f6f18","resolution":{"observed_at":"2026-08-07T15:24:28.097017Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-07T15:24:27.619996Z","title":"Lakshminarayanan, A","venue":null,"work_id":"9c883e31-f395-4bd2-8e11-9e6c651597d1","year":2017},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:25.598719Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:172f9c926ce25cdd5de8b1607d7a6acdb2775dfb473e23ff074963fa4529edc5","observation_id":"b985e8a9-edb9-4972-8244-ea5cae7e1ae1","resolution":{"observed_at":"2026-08-07T15:24:27.726170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-07T15:24:27.797448Z","title":null,"venue":null,"work_id":"109b682b-a0e9-4e9c-9cb4-587bdee838a5","year":2015},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:25.438788Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:65a98018f768406eab1e856ff7b2de1cdb0a7a97ff0dc29083829246def4d8af","observation_id":"3a3ccaae-2e4e-40ad-bffa-5fb15bfdf861","resolution":{"observed_at":"2026-08-07T15:24:27.892070Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-07T15:24:27.408874Z","title":"Vaswani, N","venue":null,"work_id":"b0d1fd2c-1128-4080-9e90-6c8eeaf7b65d","year":2017},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:25.753331Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:4a5a7d6a93859a25c78c3bcff3c069d5ccdcef72d8876e8a0167fe55d6731438","observation_id":"1fa14915-1b43-434b-9f9f-df55b1c3526e","resolution":{"observed_at":"2026-08-07T15:24:27.508295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-07T15:24:23.284114Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses","version":2},"reference_index":210,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:23.284114Z"},"links":{"citing_paper":"/paper/2505.15363"},"observation_digest":"sha256:6eac178075b7b973f5a99ea2a25919fde2cdc0477e868798abd31ab83097afc4","observation_id":"9df319d1-80e5-443f-a101-822b3cff5692","resolution":{"observed_at":"2026-08-07T15:24:23.284114Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.15363","last_updated":"2025-07-10T06:29:36Z","latest_version":2,"primary_category":"nucl-th","snapshot_observed_at":"2026-08-17T15:55:38.946926Z","submitted_at":"2025-05-21T10:50:02Z","title":"Robust extrapolation using physics-related activation functions in neural networks for nuclear masses"},"reference_resolution":{"displayed":34,"state_counts":{"malformed_identifier":5,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":17,"verified_exact":6,"verified_fuzzy":5},"total_outbound_references":34},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2505.15363."}