{"as_of":"2026-08-11T15:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:69d0532fb1d0a214f9842c09eb8b5da5c1e583cb959a65963f164eb3d92c4acf","coverage":[{"denominator":61,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":61,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:05:19.484663Z","state":"measured"},{"denominator":61,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":61,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2501.03295/citation-record","integrity":"/paper/2501.03295/integrity","json":"/paper/2501.03295/citation-record.json","paper":"/paper/2501.03295"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.316026Z","title":"Causal variable selection for industrial process quality prediction via attention- based GRU network","venue":null,"work_id":"69826c51-fe33-4cd7-97cd-2134548f8916","year":2023},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.192642Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:bb911bb4d883f658352377645a1d4698da89abd2bf222ce0ff22a56048d33e3f","observation_id":"c131cea3-da11-41ca-a01d-95de1f194dc9","resolution":{"observed_at":"2026-08-10T22:05:20.320076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.303572Z","title":"Machine learning for industrial sensing and control: A survey and practical perspective","venue":null,"work_id":"ab29da85-27c7-4c9b-8eb0-cdb983618c0b","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.199538Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:38a54e6973465a6e4fad0beba0fb7e7ea06acc0f3ebcaca4b4a4f0fd7092ec15","observation_id":"3a4dde22-d634-4113-92b9-a084a9085cd1","resolution":{"observed_at":"2026-08-10T22:05:20.308173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.291092Z","title":"Dynamic transfer soft sensor for concept drift adaptation","venue":null,"work_id":"ed127d78-2607-40d3-a3ef-abd5884fc4f6","year":2023},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.205963Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:6caddef51064c8df9d378b8bd5fe4e656387adfe074a7b44346a306ced1693bd","observation_id":"d8d4d532-5669-44e9-bd53-dadb2cd0a634","resolution":{"observed_at":"2026-08-10T22:05:20.295099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.279126Z","title":"Soft Sensor Transferability: A Survey","venue":null,"work_id":"748ed47b-9bba-4663-8384-5677ee4a98a6","year":2021},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.213370Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:04d79f7e1708ba996a6f26d318da80f8e79b50e14768e532e67ca5fe95356e27","observation_id":"fcc154dd-5d1e-45aa-bc3e-b6d1cc6fc2c3","resolution":{"observed_at":"2026-08-10T22:05:20.283240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.266828Z","title":"Reliable Soft Sensors With an Inherent Process Graph Constraint","venue":null,"work_id":"a9715f45-1714-4557-bdc0-6e2117713f86","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.220104Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:eefeaefb9e20c4907ad807f1fc5598e6103b1ae38b4e274efea9b3c467a7b2f3","observation_id":"002d79b2-80b3-41f4-8fa4-ad1d2fdf33fc","resolution":{"observed_at":"2026-08-10T22:05:20.271005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.255126Z","title":"Information Complementary Fusion Stacked Autoencoders for Soft Sensor Applications in Multimode Industrial Processes","venue":null,"work_id":"6c3c0722-89c4-4857-9164-05ba1ae9aaa6","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.224640Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:526dbf477037871096a18e520f09f94458bd72e203c7ef53b6dc5622ef0d2e64","observation_id":"7d32e822-0615-4d65-9bb4-283666d230cf","resolution":{"observed_at":"2026-08-10T22:05:20.259240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.243895Z","title":"Physics-Enhanced Graph Neural Networks for Soft Sensing in Industrial Internet of Things","venue":null,"work_id":"36c2558a-624f-4a81-8cbc-0273fa85700f","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.229181Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:fc6d99e657a09942f13a41d18ba9aec5706d25f12df4a1c323cc814cfa8a4e9e","observation_id":"3d75331c-7385-4a88-9fbc-7d4ba82b4982","resolution":{"observed_at":"2026-08-10T22:05:20.247878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.231089Z","title":"Semi-supervised adaptive PLS soft-sensor with PCA-based drift correction method for online valuation of NOx emission in industrial water-tube boiler","venue":null,"work_id":"70440332-b028-49f4-9210-bb8834574abf","year":2023},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.234140Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:3b76be09b22efad85150919dab341d36b5e049299efb44ed0120ddc113d4b92b","observation_id":"7b74950c-97b8-4e1d-9396-69ac54b54c41","resolution":{"observed_at":"2026-08-10T22:05:20.235460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.218900Z","title":"Nonlinear feature extraction for soft sensor modeling based on weighted probabilistic PCA","venue":null,"work_id":"db2b30b0-840f-46e3-8843-84b37eb8a006","year":2015},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.239896Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:73880da786f106f64eeb719ac25c963ffb7afd54a939ecbd035943aaf19818cf","observation_id":"b485d842-67e7-4383-b97b-01d201fbb662","resolution":{"observed_at":"2026-08-10T22:05:20.223405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.206650Z","title":"Comparison of variable selection methods for PLS -based soft sensor modeling","venue":null,"work_id":"9f58189b-564b-4231-9a21-56feedda1f08","year":2015},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.244983Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:ab049983b356548232695805a57a1ae9bf5838010b12257cd2c288a664f0943a","observation_id":"f5c353bd-f408-4aa1-b62d-d7a62e97bada","resolution":{"observed_at":"2026-08-10T22:05:20.210916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.195003Z","title":"Developing variable moving window PLS models: Using case of NOx emission prediction of coal-fired power plants","venue":null,"work_id":"106981a8-6063-4ea4-84f8-46dfc9cfe32b","year":2021},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.250890Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:2c80109c3bec1ee72cd81a4920e03d6040e8f0d8b0ff1688f3696b048f6becf7","observation_id":"cd6b1a73-71a2-40c1-b834-caaf2d25e365","resolution":{"observed_at":"2026-08-10T22:05:20.198867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.183810Z","title":"A soft sensing method of billet surface temperature based on ILGSSA -LSSVM","venue":null,"work_id":"87907ac3-c36a-40b9-981a-e4febc54e6ac","year":2022},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.257217Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:dffe68dcfa3497dc7483b03d2aacb192bf83e25b20b44c040b6c13bafeb843cf","observation_id":"c5790235-22b4-4a24-82a1-e3d81026fca4","resolution":{"observed_at":"2026-08-10T22:05:20.187885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.171285Z","title":"A Novel Input Variable Selection and Structure Optimization Algorithm for Multilayer Perceptron-Based Soft Sensors","venue":null,"work_id":"91dd5e66-4413-475c-8604-5cd39f80957c","year":2021},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.263069Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:b21c1aa7c284264fe245adeba1a84012cabe2770aadc9106e7ba0a4aae885105","observation_id":"49e18fd0-b24b-496c-b9fb-025aca55e2e6","resolution":{"observed_at":"2026-08-10T22:05:20.176519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.159878Z","title":"Artificial intelligence for enhanced flotation monitoring in the mining industry: A ConvLSTM-based approach","venue":null,"work_id":"b4f0a527-c5f2-4ebe-b559-22698bf4d153","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.268547Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:0f8e47eb03c0c8d885213a3c8cf412e521c8e74c7fcfe1a57aa96dacdbfbe742","observation_id":"d224f1fa-b2a3-4726-bdb3-1ea7d43f421b","resolution":{"observed_at":"2026-08-10T22:05:20.163674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.148494Z","title":"Stacked Spatial-Temporal Autoencoder for Quality Prediction in Industrial Processes","venue":null,"work_id":"6861e90a-d92d-4b32-9036-3073fee4d34c","year":2023},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.273803Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:3f7bfb8f89e871de7bb02bee248ab4ebab3933b274ed666dca0eb82e6bdc6e7c","observation_id":"2eaf408a-8a01-4b63-873f-4c88d21db489","resolution":{"observed_at":"2026-08-10T22:05:20.152471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.135945Z","title":"Soft sensor based on stacked auto-encoder deep neural network for air preheater rotor deformation prediction","venue":null,"work_id":"12a78f81-997d-4525-a879-2635f59712cd","year":2018},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.281023Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:0d450a7e74be168777d2bd2b1bb768d621ab0a98d2191549f33991d94b88b8ad","observation_id":"4d77f8ea-85c3-4893-bd34-9320d4bfc80c","resolution":{"observed_at":"2026-08-10T22:05:20.140378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.123383Z","title":"A Review on Soft Sensors for Monitoring, Control, and Optimization of Industrial Processes","venue":null,"work_id":"6887364f-c29a-47db-85f1-27877b5c54ad","year":2021},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.286983Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:e4322382eef9642d3cab72d4f475616313314a22e60a794cebdfe997e3fa6335","observation_id":"8919274c-d68b-48aa-abde-064750abb4ae","resolution":{"observed_at":"2026-08-10T22:05:20.127779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.112511Z","title":"Review on data-driven modeling and monitoring for plant-wide industrial processes","venue":null,"work_id":"c18a059e-9879-4481-bc31-8b101060f0a2","year":2017},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.293453Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:06b2154f5d1e00f9e2bb8a7a2b85a4ccefd7b6ea5109aa8df87b9bc73d2b6731","observation_id":"51111d3c-e407-42d6-9f4b-c50f0fffbf07","resolution":{"observed_at":"2026-08-10T22:05:20.116290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.100743Z","title":"Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry","venue":null,"work_id":"76b3bd7f-209a-4ccc-97a7-c37d2a7318c4","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.297628Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:c6f0569f5b43f52834bcdb6bb188c23671dd31e4339de2e583897e6b5a919b5f","observation_id":"7b295eb3-35b0-46c2-8285-bf001b3807b5","resolution":{"observed_at":"2026-08-10T22:05:20.104913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.087605Z","title":"A missing manufacturing process data imputation framework for nonlinear dynamic soft sensor modeling and its application","venue":null,"work_id":"53bbbed3-e05d-4e4b-90fc-5ddb8304b3a9","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.301749Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:36a2ee405e2ad6ac4c0ed86deac378702b6445b320329d834b958632e921d65f","observation_id":"0f8fedfc-246c-400a-957b-8c4bac699471","resolution":{"observed_at":"2026-08-10T22:05:20.092238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.074236Z","title":"Comparison of Soft-Sensor Design Methods for Industrial Plants Using Small Data Sets","venue":null,"work_id":"b64ca564-71f6-4808-aaf6-17dec1badd33","year":2009},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.307117Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:d9c3da4b6a6a1e5de54e12d21bc830a529649c1939dd404bcecc608e7c0f8d8a","observation_id":"f439c26e-ea78-4aef-b958-1ad4bc1cd15f","resolution":{"observed_at":"2026-08-10T22:05:20.078675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.060009Z","title":"Novel Virtual Sample Generation Using Target-Relevant Autoencoder for Small Data-Based Soft Sensor","venue":null,"work_id":"51ca50f1-ec70-4d72-abfd-a772ec6d1e54","year":2021},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.311433Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:dde795a4554220c7fbba59db5335df008fc83af7546771c6507d81630facb228","observation_id":"6443ea57-8e3f-4d8f-831a-94348bc07dbf","resolution":{"observed_at":"2026-08-10T22:05:20.064795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.045800Z","title":"A Self-Interpretable Soft Sensor Based on Deep Learning and Multiple Attention Mechanism: From Data Selection to Sensor Modeling","venue":null,"work_id":"6ffe90b6-b5fc-47c9-a5b5-f63c7f036b48","year":2023},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.314987Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:e8b273faa7769b5dcb58dfe38c1b12868fa0dc7c2250371da67859e070648505","observation_id":"bcb7e839-bf8c-45e3-a797-1df906cb8b57","resolution":{"observed_at":"2026-08-10T22:05:20.050379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.026774Z","title":"Constructing a Symbolic Regression-Based Interpretable Soft Sensor for Industrial Data Analytics and Product Quality Control","venue":null,"work_id":"26d796b8-bd8c-44f3-b7b6-85191932b32b","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.319205Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:d9936e961b53ab0093b31ae2d33b496ee2ecedbd72f383c0cdb6e5b93a375ad1","observation_id":"40e3f2e5-ee02-455e-8013-cdf684eba6e6","resolution":{"observed_at":"2026-08-10T22:05:20.032621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:20.008627Z","title":"Machine Learning-Based Dynamic Modeling for Process Engineering Applications: A Guideline for Simulation and Prediction from Perceptron to Deep Learning","venue":null,"work_id":"3916a002-2e6e-4d43-b265-693b6f3f5431","year":2022},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.324068Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:c1bdff48b54e4fcfbc696ef2e4ec044086ad911fb9e412b7270c13cca4a151c6","observation_id":"d7fbd2df-f12a-4ba9-b380-5b64164d9bf7","resolution":{"observed_at":"2026-08-10T22:05:20.013431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.327986Z","title":"Gpt-4 technical report","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.327986Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:22113120d2100aba0593aaf9319a6412dc215b7619070be4450cb2c62199171d","observation_id":"fd753178-9935-4447-8543-824c08ee4c56","resolution":{"observed_at":"2026-08-10T22:05:19.327986Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.979437Z","title":"Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context","venue":null,"work_id":"4f439b28-01c9-4a16-94ed-c62c96ecb0c1","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.333009Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:657ed0889d6456f4da72a7f2b1dbb08eb23c89201d219d1d92295c69fe9e9b21","observation_id":"9fa46976-0a8d-4d9d-9982-2f339efba218","resolution":{"observed_at":"2026-08-10T22:05:19.983972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.967191Z","title":"A survey of large language models","venue":null,"work_id":"1305325b-cb8b-40c9-b877-34883ed2ebe3","year":2023},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.337061Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:e9e0020087cb638b02a69704c373a950650ab3a51137026f9253a85ab50c8067","observation_id":"ffedc9b8-b174-4f24-a94f-b3c35f07d761","resolution":{"observed_at":"2026-08-10T22:05:19.971176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.953110Z","title":"Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4","venue":null,"work_id":"d5bc0b03-cad6-4192-923a-ff65c4b66c0b","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.341852Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:d55caa62758d314143f604c6eaf205a190929bec2dff4506f62a23f519a81c65","observation_id":"99d3320a-b8b6-4406-84bc-772d53aa73ff","resolution":{"observed_at":"2026-08-10T22:05:19.959060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.936885Z","title":"Mathprompter: Mathematical reasoning using large language models","venue":null,"work_id":"a1d9d57c-00a5-4023-a0a5-9c4f88cd7304","year":2023},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.348510Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:63747159eec81cfc8d187dc8d20838992162cca4620510384b5555457d2e92a8","observation_id":"11a7b6f0-6b7f-4e57-bc13-b81306adc291","resolution":{"observed_at":"2026-08-10T22:05:19.941505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.924690Z","title":"PRISM: Patient Records Interpretation for Semantic clinical trial Matching system using large language models","venue":null,"work_id":"1145ac95-2557-4624-9826-40fcb80f87f7","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.353041Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:c09569648104244b06fd478b0f1af79e37e43a6e0cfd1630838f630b79a06615","observation_id":"0e78cf0c-87ee-49fa-b94f-669ee6fa2208","resolution":{"observed_at":"2026-08-10T22:05:19.929077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.912269Z","title":"Augmenting large language models with chemistry tools","venue":null,"work_id":"15b9ed13-9760-4ed7-9971-f3d928c6e763","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.359508Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:41e3fb33e89df5843c2001f764d87c6b84f635cb2c16ce7b9e795d7252102bf9","observation_id":"8c1ace16-49ef-44d9-9185-520e1d3defcc","resolution":{"observed_at":"2026-08-10T22:05:19.916504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.899804Z","title":"Emergent abilities of large language models","venue":null,"work_id":"e03a71e3-f170-4e1f-b533-adee5cf660e0","year":2022},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.365364Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:f1f7bbe525b0b0dc2b5836dcf6874563fd85d89571b771e02fedfd5630294f22","observation_id":"5a206c86-e79f-42a9-b384-fe63344bd183","resolution":{"observed_at":"2026-08-10T22:05:19.904052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.885221Z","title":"Emergent analogical reasoning in large language models","venue":null,"work_id":"d5d479a0-1611-4b7e-bdc8-1c4fa6b47a9d","year":2023},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.371904Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:ee233ee819f181acd6efdac72f2d5c59ed724071e7fcf08f6de9d02834573c0d","observation_id":"04de485c-0fd6-4016-a479-d6c54598e6dd","resolution":{"observed_at":"2026-08-10T22:05:19.890020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.871106Z","title":"A survey on in-context learning","venue":null,"work_id":"a250e3c4-ed0a-4306-982c-340e77828ce3","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.376170Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:91a8732848707655ca784b59a8dd6125941e30368d79f0265f9e055740d9cc01","observation_id":"900ce275-c969-4b16-b096-ba3d05a030e4","resolution":{"observed_at":"2026-08-10T22:05:19.875304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.857300Z","title":"An explanation of in-context learning as implicit bayesian inference","venue":null,"work_id":"31108100-9e1a-4317-981d-1ce767ac99ad","year":2021},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.380071Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:81a4c2764af1169cd9281cb7df9a38a28d26f0cbec55316552767d7b9bc1c530","observation_id":"3f3b90e5-74f8-4cac-a082-2e831c541b0b","resolution":{"observed_at":"2026-08-10T22:05:19.861606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.844034Z","title":"Sensitive Feature Selection for Industrial Flotation Process Soft Sensor Based on Multiswarm PSO With Collaborative Search","venue":null,"work_id":"19a952e6-5fcb-4bed-88c7-cc97dbb567d2","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.385084Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:e07f1bb827719c1ed365e0d7eafc1845a412b6f18a3cdf0521c6053e4ee52fa7","observation_id":"dc5e8a3a-9a9a-48d1-91cf-51fdb1fed57c","resolution":{"observed_at":"2026-08-10T22:05:19.848966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.830182Z","title":"Retrieval-augmented generation for knowledge-intensive nlp tasks","venue":null,"work_id":"8881ba4f-5270-40a8-bb7d-b3d8d2287f54","year":2020},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.389641Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:7bbaa0c82ff1805fb71b261b0a3e0931d31d1c09a99fc12709b9cf5af702d100","observation_id":"f10bef23-a96d-4485-a8a6-1ab57fa2bebd","resolution":{"observed_at":"2026-08-10T22:05:19.834669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.815057Z","title":"Retrieval-augmented generation for large language models: A survey","venue":null,"work_id":"f7bc3df3-7a71-496d-b678-d4636e924d4f","year":2023},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.393843Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:a716234c09fdd6a89a63f18676432c9a571b3dc95454665ef24e483474837621","observation_id":"96b6685e-d90d-4813-b962-35c439aa07ea","resolution":{"observed_at":"2026-08-10T22:05:19.820480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.398283Z","title":"Chain-of-thought prompting elicits reasoning in large language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.398283Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:b1fd689d95776e729cefa4c075485fa666f4b578dbf8224be9ccd55478cc8f67","observation_id":"792871e4-200e-4020-abd2-f7d27da4c82d","resolution":{"observed_at":"2026-08-10T22:05:19.398283Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.789019Z","title":"A survey of chain of thought reasoning: Advances, frontiers and future","venue":null,"work_id":"dfa5b1d3-2b73-4fc6-84de-bde4d50598fb","year":2023},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.403135Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:2f1402841a1afe0d66cec3065cc06129a5ad7804d8d533928a5dbe2e8b0be835","observation_id":"df22c586-e243-443e-bf27-87612ade2742","resolution":{"observed_at":"2026-08-10T22:05:19.793927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.775695Z","title":"What makes good in-context demonstrations for code intelligence tasks with llms? In: 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE))","venue":null,"work_id":"ef6272f7-0ae1-457f-89e2-28049eef4eca","year":2023},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.407445Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:7a31cbcaafc05f87334732d12d95a066debfd5aeb16f4b1f98c0063e8c16da47","observation_id":"e93c8be3-93ee-4b71-b3b4-238b4840af3f","resolution":{"observed_at":"2026-08-10T22:05:19.780374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.764981Z","title":"Role play with large language models","venue":null,"work_id":"7a85cd4d-1ac5-4111-8701-f8be728e557a","year":2023},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.412161Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:a03b4cdc64f1d0328e9f95e441ad5caf7de22b52b6a3737c5cf652f7227a352b","observation_id":"00357d4f-9c01-438a-abf2-dc7eec7a9f85","resolution":{"observed_at":"2026-08-10T22:05:19.768598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.753274Z","title":"Large language models understand and can be enhanced by emotional stimuli","venue":null,"work_id":"dc05e1cb-5cce-47c4-9cc8-23b5adeaa8ac","year":2023},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.416078Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:2739073d61385004238f7fa65cb05ec07adbd73b64cc5419381c09f0a7710809","observation_id":"a8c91cd2-1400-4c5a-adc5-dedc55c55b84","resolution":{"observed_at":"2026-08-10T22:05:19.757050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.739142Z","title":"The development of an industrial -scale fed-batch fermentation simulation","venue":null,"work_id":"39e434bf-0803-452e-96be-f7330c5e36ac","year":2015},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.420130Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:410125812fe2354f4150f5861a3c632c158d3ef09c8ed3a3ea9cb1192793a8d4","observation_id":"7f0236f7-dbb3-4eb4-ac57-a595bc7c7a5a","resolution":{"observed_at":"2026-08-10T22:05:19.745490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.723089Z","title":"Interpretable Machine Learning Methods for Monitoring Polymer Degradation in Extrusion of Polylactic Acid","venue":null,"work_id":"31f62fdc-348b-4548-b9b0-495d3eca1dcd","year":2023},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.424870Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:1b4551741b621bbecafbfaa16f7e2f4914781494bdd0e1b9614cfe0267c13298","observation_id":"ec3cc8dd-3b16-4388-b0e8-c823f50752c2","resolution":{"observed_at":"2026-08-10T22:05:19.728386Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.710247Z","title":"Weighted target feature regression neural networks based soft sensing for industrial process","venue":null,"work_id":"d1726c75-e9b4-4804-a11f-56d91ff176af","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.428959Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:e60c5eba67f31132dc5a2a3eb07e467c7f55f5d4dd5f53fd051355a4795a3f2d","observation_id":"f0c99472-d275-43d6-993d-14fe1f658d4a","resolution":{"observed_at":"2026-08-10T22:05:19.714987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.696858Z","title":"Mutual Information Deep Sparse Auto-Encoding Hybrid DLSTM Prediction Network","venue":null,"work_id":"3b0d30d1-65a6-4539-a5cc-0431b02b3db2","year":2022},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.432854Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:fd8345d32a0e2414b74d950d35d9448aaf41f3bbbcb7c85aa3725f49006f6370","observation_id":"1d7113ce-aa22-4d03-a05f-8903e28c9677","resolution":{"observed_at":"2026-08-10T22:05:19.701394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.683306Z","title":"Soft measurement model for wet gas flow rate based on ultrasonic and differential pressure sensing","venue":null,"work_id":"88d6badd-1711-4c96-8a33-4e1887f516e7","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.437036Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:5c10b55affad003ca208091360f933a33967a197082b14f1782a6afe2dcec4ac","observation_id":"b0c8456b-4b8f-4bc1-a0c1-65ef73764304","resolution":{"observed_at":"2026-08-10T22:05:19.687372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.670502Z","title":"Soft sensor method of multimode BOF steelmaking endpoint carbon content and temperature based on vMF-WSAE dynamic deep learning","venue":null,"work_id":"49e99653-20e5-4c4b-bc53-1c8af6c732a9","year":2023},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.441852Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:0d07a452623ed0f094e9e3e0fb988cac4c4d9d6fe489c86134315e207cafdd6a","observation_id":"9c3b23bc-f8e1-450a-800f-01a342e9c6fd","resolution":{"observed_at":"2026-08-10T22:05:19.674862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.659000Z","title":"Multi-objective PSO semi-supervised random forest method for dioxin soft sensor","venue":null,"work_id":"7c23f57c-5efd-4b54-95e0-63db0d2bd1a4","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.447648Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:543fafa04955e0344d121e3754db8d301e4f0da86f1a36ba28ac5efb99a16f9a","observation_id":"34d2f495-fd8e-43c2-9b1a-838c27fd246e","resolution":{"observed_at":"2026-08-10T22:05:19.663157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.646516Z","title":"An evolutionary deep learning soft sensor model based on random forest feature selection technique for penicillin fermentation process","venue":null,"work_id":"7ed2d1d7-4f85-409d-9d90-7e5edd21d875","year":2023},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.451291Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:1769841129cc392431cdd7151b972fc443818cc6885f5307556c9ff1fdbb50bd","observation_id":"b5408016-ab24-4e93-86ac-23b55fc23568","resolution":{"observed_at":"2026-08-10T22:05:19.651424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.634785Z","title":"Utilization of Machine Learning Techniques i n Hot-Film Based Airflow Rate Sensors for Improving Flow Measurement","venue":null,"work_id":"db5f8ee8-6f3d-48be-bc04-6399bdab7fd6","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.455799Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:978319dc0f8885615c3696423ecdf5e8607bafa27b8cfa487c39375964f7bc27","observation_id":"58428ef1-ea95-4596-a576-7478f831f702","resolution":{"observed_at":"2026-08-10T22:05:19.638710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.622844Z","title":"Robust probabilistic principal component regression with switching mixture Gaussian noise for soft sensing","venue":null,"work_id":"e005a9e5-3735-4cc6-9623-0081f2523bce","year":2022},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.459373Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:1dbe13331caf727b64a2408fec7b4481878b97f0fab5a05df55f855dd42bf7c3","observation_id":"ece4089c-4ccd-404f-ad16-237fd160f6ea","resolution":{"observed_at":"2026-08-10T22:05:19.627017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.611097Z","title":"Temperature Prediction Model for Roller Kiln by ALD-Based Double Locally Weighted Kernel Principal Component Regression","venue":null,"work_id":"bf9743f2-1598-4b60-a4ad-66b681f7a558","year":2018},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.462540Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:e52b0570a7fed6b7094e00c373cd5218a6f346acdf13b485651cb7fd14f83c4f","observation_id":"18b7d675-7c75-4082-ac03-5ddc461342b4","resolution":{"observed_at":"2026-08-10T22:05:19.615200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.597915Z","title":"Uncertainty-aware soft sensor using Bayesian recurrent neural networks","venue":null,"work_id":"a17e47dc-ef03-4477-aae1-a59e978f40c3","year":2021},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.466280Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:d5a442f8343ce3f4581deffaddf9fb651048de42bc8c71f9781e76531f2b817b","observation_id":"4d3049d6-3dcd-4440-84c1-92365fb21ddc","resolution":{"observed_at":"2026-08-10T22:05:19.602058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.582415Z","title":"When Deep Learning-Based Soft Sensors Encounter Reliability Challenges: A Practical Knowledge-Guided Adversarial Attack and Its Defense","venue":null,"work_id":"d666b15f-67bb-4219-8e24-b771caa77b99","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.470028Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:f14744cc2da8e034169e91668e4ed786bb13733c261d95202f3efe8ea0641dcf","observation_id":"a7b40896-e328-4cc0-b7b2-5b558ddbbdcc","resolution":{"observed_at":"2026-08-10T22:05:19.587816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.568570Z","title":"Adversarial Robustness Enhancement for Deep Learning- Based Soft Sensors: An Adversarial Training Strategy Using Historical Gradients and Domain Adaptation","venue":null,"work_id":"eba5829d-b9c0-44d1-9b50-0f9065183b67","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.473762Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:f5d5ede7bcf316c27fc7e55211ef7ef312c0b72611f9d267fcf2744f770f40f5","observation_id":"11de4983-626f-46b2-9e1c-eda26e8bee93","resolution":{"observed_at":"2026-08-10T22:05:19.572967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.555969Z","title":"Adaptive Multi-Head Self-Attention Based supervised VAE for Industrial Soft Sensing With Missing Data","venue":null,"work_id":"d600cf2a-634b-4550-bf15-d4cf609fa09e","year":2024},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.477302Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:a064763f7642b8390c0650c40f4b3a8e36ad1543a38735e8aeab16b7dd361f1b","observation_id":"6afb23ea-40cd-4d4f-bc7b-11cefd50c254","resolution":{"observed_at":"2026-08-10T22:05:19.560356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.541534Z","title":"Partial transfer learning network for data imputation and soft sensor under various operation conditions","venue":null,"work_id":"bf50b25f-e2ac-4ec5-b6f0-75b33a657ed2","year":2023},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.480842Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:911d2bff52705dbc8be19e66bef8601f9966b05791ad909f101ed67196074a2e","observation_id":"3cdf1a96-512e-4cf8-837d-f03874d03bf6","resolution":{"observed_at":"2026-08-10T22:05:19.546027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:05:19.521759Z","title":"Training language models to follow instructions with human feedback","venue":null,"work_id":"840d3aff-b65b-4149-80f9-634ca7a58ce9","year":2022},"citing_paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-10T22:05:19.484663Z"},"links":{"citing_paper":"/paper/2501.03295"},"observation_digest":"sha256:7b4f5e20fc710f7b3596bf58df3135522badce90c267e64ccc186d693d010e6f","observation_id":"44b8382d-bb6e-4fd1-b2c1-13ad61ac6fe0","resolution":{"observed_at":"2026-08-10T22:05:19.528716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.03295","last_updated":"2025-01-08T04:50:01Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T21:57:30.360564Z","submitted_at":"2025-01-06T11:43:29Z","title":"A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval"},"reference_resolution":{"displayed":61,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":59},"total_outbound_references":61},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2501.03295."}