{"as_of":"2026-08-22T20:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5142956bb5a2b8fae882e3d5a58994629f64c64450851b51854cd96ba6d44562","coverage":[{"denominator":68,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":68,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T10:27:52.702479Z","state":"measured"},{"denominator":68,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":68,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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/2504.20079/citation-record","integrity":"/paper/2504.20079/integrity","json":"/paper/2504.20079/citation-record.json","paper":"/paper/2504.20079"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:27:53.852185Z","title":"Going deeper with convolutions,","venue":null,"work_id":"9ab4586e-9fd5-4759-a1e3-86f8aee19769","year":2015},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.397515Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:62247ac18a3ad468ece4a9aff7dba000375622ab7027c5dda073157b60aa90d0","observation_id":"14de74d0-d8aa-4cff-88f8-b8eaffeb1d59","resolution":{"observed_at":"2026-08-16T10:27:53.856697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.837492Z","title":"A structure constraint matrix factorization framework for human behavior segmentation,","venue":null,"work_id":"f761a8fc-d1be-4348-a4a6-63db27710ab4","year":2021},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.403657Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:36e2f24e5d58c344175afde866fc6b027148c91f1e75dc77a81891000d600a14","observation_id":"74085244-09ce-483b-8115-f686e5bb4634","resolution":{"observed_at":"2026-08-16T10:27:53.842303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.822959Z","title":"BERT: pre- training of deep bidirectional transformers for language understanding,","venue":null,"work_id":"3cb331ba-c6b7-4405-9677-beaa574d99ed","year":2019},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.408160Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:2a6b459bd02e7cca187cdbe804dba930cda78491e2523f55390d4868d1a0e03a","observation_id":"c643bfa7-51ac-44c4-bb1c-6667d7ff3b97","resolution":{"observed_at":"2026-08-16T10:27:53.827837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.807592Z","title":"A survey of the usages of deep learning for natural language processing,","venue":null,"work_id":"3c017162-ee37-41dc-8d87-fffce2fae98d","year":2020},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.412889Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:ee279261c3a83077111d459df7d283df52322b6f572bfc1273f410ed33664ef7","observation_id":"e59135f1-58da-41ab-b788-d401977cd66a","resolution":{"observed_at":"2026-08-16T10:27:53.812941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1805.11835","last_updated":"2019-02-26T19:58:06Z","snapshot_observed_at":"2026-08-15T15:26:56.423800Z","submitted_at":"2018-05-30T07:23:47Z","title":"Optimal Control Via Neural Networks: A Convex Approach","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.11835","snapshot_observed_at":"2026-08-16T10:27:52.418136Z","title":"Optimal control via neural networks: A convex approach,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.418136Z"},"links":{"cited_paper":"/paper/1805.11835","citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:9ecb52681a3ad6384a0a6e349507c59ac26c2edfda02ac0d5df5feefbf46b264","observation_id":"56787d1a-5b17-4ffa-b01d-b8a4544c3117","resolution":{"observed_at":"2026-08-16T10:27:52.418136Z","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":"2026-08-16T10:27:53.793204Z","title":"Hierarchical deep reinforcement learning for continuous action control,","venue":null,"work_id":"ccd08148-4e6e-4973-8b53-7cf5beeedff1","year":2018},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.423467Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:dee9552c9ce96c5472b916aad920284e09b1b7300f656271ef3562932600c7a9","observation_id":"19a9af91-051d-4c57-84db-6b2ea5c5f098","resolution":{"observed_at":"2026-08-16T10:27:53.797640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.778724Z","title":"LSTM-MSNet: Lever- aging forecasts on sets of related time series with multiple seasonal patterns,","venue":null,"work_id":"fab3d698-4793-4eab-a0bd-25c1c48d999d","year":2020},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.428656Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:06017df20088cd7fb31a1b5307ba2e61053fc27ace98c238268e67e95d0d3ef2","observation_id":"4278457e-9764-4f4a-8417-7393595ab49d","resolution":{"observed_at":"2026-08-16T10:27:53.783148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.764804Z","title":"Object classification using CNN-based fusion of vision and lidar in autonomous vehicle environment,","venue":null,"work_id":"cd870e5d-6bea-4224-bf27-694ca146c501","year":2018},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.433260Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:aca61ddc79e800e6a4bcf207aebf9983cadff21946b021d27702d5da7f69571d","observation_id":"a9c76ed7-f116-4567-aba9-849b39f62879","resolution":{"observed_at":"2026-08-16T10:27:53.769345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.751039Z","title":"An interacting multiple model for trajectory prediction of intelligent vehicles in typical road traffic scenario,","venue":null,"work_id":"4a002c0c-6381-4ca2-9ad1-6545384fe17d","year":2021},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.437653Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:b6ecba10de5a082812f6d1aca71e0182c2518320dc84f991103f23f6a76eba1a","observation_id":"94c020a9-3cf3-4281-b460-378083dac082","resolution":{"observed_at":"2026-08-16T10:27:53.755404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.736820Z","title":"Trajectory prediction of cyclist based on dynamic bayesian network and long short-term memory model at unsignalized intersections,","venue":null,"work_id":"8bb011c9-6d65-40b6-867d-7bfcae6ad166","year":2021},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.442124Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:cde6625567aa3121739cd40c0c8b8918276f18e8dc0adcaa46086e3a93dacb05","observation_id":"3fdd0a26-7cba-4ef4-8d0b-53512caa626c","resolution":{"observed_at":"2026-08-16T10:27:53.741203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:52.446920Z","title":"Long short-term memory,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.446920Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:5981e3a5dfa2f011aa7431f21df764b65ba687812df465e66db75c93eca0f912","observation_id":"48613e14-7f99-4fa7-91b4-e4c617b0504e","resolution":{"observed_at":"2026-08-16T10:27:52.446920Z","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":"2026-08-16T10:27:53.713221Z","title":"Motif discoveries in unaligned molecular sequences using self-organizing neural networks,","venue":null,"work_id":"ea097073-949d-4193-a95f-f1fd553749c8","year":2006},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.451314Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:24e965d21be1f0fd3f38631846f6dfc1d2ddf1c719f03d79da61c865b36aa38e","observation_id":"2358423d-dc72-400c-8d70-bc7922e797dc","resolution":{"observed_at":"2026-08-16T10:27:53.717987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.699732Z","title":"Deep neural network for structural prediction and lane detection in traffic scene,","venue":null,"work_id":"b1488863-a30f-4f28-bfcf-c61c444cb769","year":2016},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.455708Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:a31687c74a2b2113eb6c46d46efd5ef333d727c00fea4026fee85bab8685d483","observation_id":"ef56554b-5880-4bd3-a7e7-9d8e3ed03dd6","resolution":{"observed_at":"2026-08-16T10:27:53.704159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.686009Z","title":"Xception: Deep learning with depthwise separable convolu- tions,","venue":null,"work_id":"e999c012-fffb-4818-ad58-4dd280d0f8c2","year":2017},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.460028Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:36e75d7e26ae1130f1258a5fc7d315125bc0899f9cfdca6652c730eafd3dc0d9","observation_id":"cc6c5d76-468c-48d3-abc6-00969a8a9365","resolution":{"observed_at":"2026-08-16T10:27:53.690294Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.672029Z","title":"Multi-scale context aggregation by dilated convolutions,","venue":null,"work_id":"c6aeaf05-b638-4088-83db-0c59a3b64c5e","year":2016},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.464367Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:f8cbbafc4b12cfe3909f7fc734c5623ae62a45f547ca37ca64263f12a5af1b47","observation_id":"adbaf018-d229-4048-a4c8-fdc08ae998ed","resolution":{"observed_at":"2026-08-16T10:27:53.676446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.658750Z","title":"AutoML: A survey of the state-of-the-art,","venue":null,"work_id":"955ba5f1-2740-4172-869d-1b53aee1e87f","year":2021},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.468808Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:ab771109f35024c3bb119bf3306421902ebe659179fde83536d44c1cec180e8f","observation_id":"7f98aae7-3856-4f84-bd01-c7d089fa5fcd","resolution":{"observed_at":"2026-08-16T10:27:53.663045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.644858Z","title":"Designing network design spaces,","venue":null,"work_id":"f1177f3c-dc26-49f9-811b-7cd7d92e61c2","year":2020},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.473193Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:ce32c19aec600bab07487876afe839263abcba51890feae727a95c83a55c1e35","observation_id":"54e04b61-3d5e-4469-a564-8d2a7db45710","resolution":{"observed_at":"2026-08-16T10:27:53.649304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.631624Z","title":"DARTS: Differentiable architecture search,","venue":null,"work_id":"78fc3e7c-7319-46b4-b973-d7d8912d17e8","year":2019},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.477333Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:f4976de4c2ae26664258a56f213d738bc7385738d93fffe91b59a4385689a501","observation_id":"946bdd78-05ae-4746-bef9-fc9c248b2a2f","resolution":{"observed_at":"2026-08-16T10:27:53.635855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.618070Z","title":"Learning transferable architectures for scalable image recognition,","venue":null,"work_id":"ba7bc0d6-a692-4e56-a904-cae391663df7","year":2018},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.481535Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:1ba7288978c394a39b13a2729ed0805bfc63992fec8c8269c66d92bc8ff448ec","observation_id":"dc9583cb-4aae-4917-b054-3ffc2a2880b7","resolution":{"observed_at":"2026-08-16T10:27:53.622574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.604193Z","title":"Designing neural network architectures using reinforcement learning,","venue":null,"work_id":"18af0cf2-4460-4cc6-ad8d-70f2e7f1159c","year":2017},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.485570Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:4b7fb6e6499d3a0de7f9c0570177650e39d4847fbfddf03ef36ef8330f9f405c","observation_id":"928efe8a-9162-4f95-8410-34d0c53d9956","resolution":{"observed_at":"2026-08-16T10:27:53.609005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.589880Z","title":"Efficient neural srchitecture search via parameter sharing,","venue":null,"work_id":"b8e1c0e8-9448-4d0e-9812-58016f434dfc","year":2018},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.489955Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:fdda9b396c26ed4382534c76a4acb31e6133c10487fb88e7f304d1addcf2ca22","observation_id":"98f69024-e4dc-4638-8b63-e28dfd3a22e9","resolution":{"observed_at":"2026-08-16T10:27:53.594776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.575933Z","title":"Hierarchical representations for efficient architecture search,","venue":null,"work_id":"71898d12-196c-4375-babb-0409e2c04103","year":2018},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.494037Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:131549ceb789842171a47f81340f0ef24d44fde387a620a70decb855a8facb1a","observation_id":"611b4d2d-3234-455c-9ba7-ce130db198f0","resolution":{"observed_at":"2026-08-16T10:27:53.580502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.547745Z","title":"Neural architecture optimization,","venue":null,"work_id":"b0e0fd07-e5cd-46ca-a501-2e46afeb7eca","year":2018},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.502651Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:294a8a4677b90bab4e2d34ad457f331ec06165ac58a1e72b4de61955a811c0cc","observation_id":"68ba0ac9-a3b4-48e1-9aba-f5f2b96bf11a","resolution":{"observed_at":"2026-08-16T10:27:53.551915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.534187Z","title":"Does unsupervised architecture representation learning help neural architecture search?","venue":null,"work_id":"bb184c56-e25d-422d-80bc-068808f3d3ef","year":2020},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.506770Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:a85d7e29caf774772ad2bc482b1a5a967dde8582e96ca30da104407067e4e197","observation_id":"8ac88f5c-72c8-4dc5-8ed6-e5bded1ce3d3","resolution":{"observed_at":"2026-08-16T10:27:53.538625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.520134Z","title":"D-V AE: A variational autoencoder for directed acyclic graphs,","venue":null,"work_id":"07244462-818c-48eb-a444-3a431b9675e7","year":2019},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.511021Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:377fdb80a3483eafbe0c1dc179c32027275bd1d504513e74c710a398750fb507","observation_id":"64092ebb-ace5-4a7a-8ba2-e86613dfadf8","resolution":{"observed_at":"2026-08-16T10:27:53.524592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.05950","last_updated":"2025-04-25T14:04:12Z","snapshot_observed_at":"2026-08-16T16:17:02.274797Z","submitted_at":"2022-11-11T01:55:11Z","title":"CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks","version":2},"cited_work":{"arxiv_id":"2211.05950","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.05950","snapshot_observed_at":"2026-08-16T10:27:52.982199Z","title":"CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks","venue":"cs.LG","work_id":"56097ef2-e2d0-46f1-9a09-1d7163a0ff67","year":2022},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.515218Z"},"links":{"cited_paper":"/paper/2211.05950","citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:3bf9322b0bb45256d556fb5b4ec08d4e95faa863238ea4ae361eb29bed856a46","observation_id":"18c43c95-08af-4789-a8fc-b148c14ea2b5","resolution":{"observed_at":"2026-08-16T10:27:52.987044Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.506341Z","title":"SNAS: stochastic neural architecture search,","venue":null,"work_id":"835e59ef-7dd8-4e35-bac4-5ebacb4636f8","year":2019},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.519716Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:426f6f1209a31d91dc8c54e88b3f98e0c32f7cf6adbae8a2b6c73be4419817d1","observation_id":"ae9e509c-6e0d-47d3-b8cf-ff082d0742c8","resolution":{"observed_at":"2026-08-16T10:27:53.510848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.492251Z","title":"Progressive DARTS: Bridging the optimization gap for NAS in the wild,","venue":null,"work_id":"757f3fd8-1972-48db-9086-6dd7311ec4f9","year":2021},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.524095Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:3fa90b4f9326f60b69e2cfb40ed6e5aff91279544144dced2512358f5730b74b","observation_id":"0ec3a1a8-9417-4ce7-a7a3-941f9e44151e","resolution":{"observed_at":"2026-08-16T10:27:53.497150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.03331","last_updated":"2020-07-07T10:37:49Z","snapshot_observed_at":"2026-07-06T09:36:03.285736Z","submitted_at":"2020-07-07T10:37:49Z","title":"GOLD-NAS: Gradual, One-Level, Differentiable","version":1},"cited_work":{"arxiv_id":"2007.03331","doi":null,"metadata_source":"pith","pith_arxiv_id":"2007.03331","snapshot_observed_at":"2026-08-16T10:27:52.957796Z","title":"GOLD-NAS: Gradual, One-Level, Differentiable","venue":"cs.CV","work_id":"aebb9116-7a88-4a98-b17b-ecdc3234ebdf","year":2020},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.528146Z"},"links":{"cited_paper":"/paper/2007.03331","citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:b73536b2066ad430fd7018c6e8345d4a340dc2c0f1d7ad2556e8b0815dec0883","observation_id":"9ce8762c-1b2a-4392-809f-f1c1a0166d4c","resolution":{"observed_at":"2026-08-16T10:27:52.966201Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.478915Z","title":"Discretization-aware architecture search,","venue":null,"work_id":"d232cf58-52da-47e2-b946-4f6847f564a3","year":2021},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.532682Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:31ef411b01b9c7debe1f028aef0fe9a2edb7b3b8d1fc0aac874be92f316fcd61","observation_id":"8a4775b8-c8bf-4b19-832c-ac4642442f77","resolution":{"observed_at":"2026-08-16T10:27:53.483267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:52.536893Z","title":"KL-DNAS: Knowl- edge distillation-based latency aware-differentiable architecture search for video motion magnification,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.536893Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:37ca54395664deccdcf21fb455f42c54c29cc5946343a5312a1022dabac156af","observation_id":"6350ae0a-a59a-47b6-83ee-8446d742e95d","resolution":{"observed_at":"2026-08-16T10:27:52.536893Z","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":"2026-08-16T10:27:53.465148Z","title":"An architecture entropy regularizer for differentiable neural architecture search,","venue":null,"work_id":"5db136e4-8300-4b9d-813b-6c5cafeced78","year":2023},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.541168Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:5e31fcd9118afe011a362c53e2301d715e650859381427e7236ea294147e1e54","observation_id":"9b528206-78c2-4a5c-adb5-fb4fd03802a0","resolution":{"observed_at":"2026-08-16T10:27:53.469536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.451438Z","title":"Improved differentiable architecture search with multi-stage progressive partial channel connections,","venue":null,"work_id":"566d312b-01ac-4218-8721-8e2b299c73ac","year":2024},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.545226Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:8239e7ebef5b7491b8cf4c4b0656905e29661fd8f81e586495371677bdd1d20a","observation_id":"af7f6b4d-c33a-4b02-be14-d9751fa19288","resolution":{"observed_at":"2026-08-16T10:27:53.455792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.437777Z","title":"MNGNAS: distilling adaptive combination of multiple searched networks for one- shot neural architecture search,","venue":null,"work_id":"2703a281-f02e-4f4e-9703-291b8760626a","year":2023},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.549589Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:b0193fc8c0eaa69745c935afa06a3a3d4d795a00276ddd47af573ec440804569","observation_id":"7c890a02-aa3a-4ba2-9f6f-2f4c5ba47b5d","resolution":{"observed_at":"2026-08-16T10:27:53.442354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.424540Z","title":"Exploiting operation importance for differentiable neural architecture search,","venue":null,"work_id":"73760a27-3b4c-4f95-9a80-c566556bd8eb","year":2022},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.553722Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:acbae74f0342c22ef1b98627209f58977e0f1238462c1460a41ffdff5eec9723","observation_id":"1a7634ef-f8d1-4764-8909-b113b040fb09","resolution":{"observed_at":"2026-08-16T10:27:53.428823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.410889Z","title":"Fair DARTS: Eliminating unfair advantages in differentiable architecture search,","venue":null,"work_id":"5396a3f8-5cac-4e5e-b39f-beb859ac87f5","year":2020},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.558460Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:aced72e107a8dd4ad4f4e7af4992cd59d0589a6910a3bf780fba80a74f470929","observation_id":"9c7c1889-341c-4d4e-8d1b-130cc4a9e521","resolution":{"observed_at":"2026-08-16T10:27:53.415239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.397119Z","title":"Darts-: Robustly stepping out of performance collapse without indicators,","venue":null,"work_id":"6c53a7ba-d416-4fe1-abef-90f5cf6ef39b","year":2021},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.562807Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:9b684ccecf450db5402ee92ddebe782843ff06c1159e78b3f20742ac7806c90f","observation_id":"52d8847f-59ef-448a-a285-60a9ac072781","resolution":{"observed_at":"2026-08-16T10:27:53.401384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.383408Z","title":"Noisy differentiable architecture search,","venue":null,"work_id":"f4f66269-0f92-417d-be60-df941c5136d2","year":2021},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.566977Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:bad1398d27a4deeeb1496b92a5aae847d21303e7e67bf72b06451be8b72f1d3a","observation_id":"26af3320-bb94-4476-9eca-681fcc2c34bd","resolution":{"observed_at":"2026-08-16T10:27:53.387929Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.370244Z","title":"Random search and reproducibility for neural architecture search,","venue":null,"work_id":"619d9a50-dfd3-4112-892f-88c964b445c6","year":2019},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.571363Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:bb2d7bbaba257f3d5bd6a376333d34a339f5047c68d2b858a55358cae5589663","observation_id":"32f7c2a7-82ca-445f-bf74-29d7cefbe8df","resolution":{"observed_at":"2026-08-16T10:27:53.374633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.356389Z","title":"NAS evaluation is frustratingly hard,","venue":null,"work_id":"0390cbc0-77b8-4a55-9990-f41fd6ef0e01","year":2020},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.575584Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:5eee3eec4beec0e5af6f42505b7ce0031e212b263b07809d0546a9934c8e5b7d","observation_id":"06ec9f16-f168-479c-8ac6-4fd2b7138ceb","resolution":{"observed_at":"2026-08-16T10:27:53.360884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.342836Z","title":"Single-path NAS: Designing hardware- efficient convnets in less than 4 hours,","venue":null,"work_id":"26860865-3610-4bbf-87d7-927f8910e3ad","year":2019},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.579718Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:a6bdff9718edda156b33b45f721d5645049473d2211873167204f391ccd0a26b","observation_id":"c0022af6-0f76-41b9-a28a-38f810866a8e","resolution":{"observed_at":"2026-08-16T10:27:53.347004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.329122Z","title":"ProxylessNAS: Direct neural architecture search on target task and hardware,","venue":null,"work_id":"cb67884e-4fd8-4539-b989-8030eff4df8e","year":2019},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.584611Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:0ea2dac30d5482d93bcac201ef45464a0d7ce169cdb50b5b18f7bbe847780b22","observation_id":"cddefee6-2a3f-41bf-919c-000a53d2a681","resolution":{"observed_at":"2026-08-16T10:27:53.333571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.315357Z","title":"K- shot NAS: Learnable weight-sharing for nas with k-shot supernets,","venue":null,"work_id":"f4a50b68-c102-4ab5-bd4d-3e45e28c524b","year":2021},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.589078Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:28a8662abf66c75d0cf28c92c5ef19b02f9861f17f3166d6e6b0a4c7f5790115","observation_id":"f960ef9b-c98d-4825-a148-9943d85bdcee","resolution":{"observed_at":"2026-08-16T10:27:53.319879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.301480Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":"f1c213a9-1172-420c-af21-58dad9bdd46f","year":2016},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.594119Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:9a037cd1aef1621ecd262d968ffb7e707dcf6f369cc2740553dfc674953fde93","observation_id":"a8b4d064-5bc5-478d-a434-32c8dab0e759","resolution":{"observed_at":"2026-08-16T10:27:53.306018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.287902Z","title":"ShuffleNet: An extremely efficient convolutional neural network for mobile devices,","venue":null,"work_id":"10f58c11-0e3e-49cc-ac40-8e926ad7e0ae","year":2018},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.598319Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:f6f04abbb3fe6bb54d655541188ded37d1aa0ba8d8b699c94ab06fe5dddaf355","observation_id":"f2d85af6-6b1e-4495-b237-79634b4ab976","resolution":{"observed_at":"2026-08-16T10:27:53.292444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.273963Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale,","venue":null,"work_id":"4ffff851-077d-403b-a6d4-1a881a8c5c33","year":2021},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.602478Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:e53083ca8c6832519281bcf505a0cd7c4dd23b9caef4347924f10494f2e4a755","observation_id":"35e240ea-2d71-4a4c-974e-c01281426fb5","resolution":{"observed_at":"2026-08-16T10:27:53.278683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.259646Z","title":"Operation and topology aware fast differentiable architecture search,","venue":null,"work_id":"5c5f41f5-1e6e-429a-a238-3a66f5f9287e","year":2021},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.606764Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:931c2ba2205d9c5054328fb98a749e019320bbfe3ab6507d545e9ad039beafad","observation_id":"2a1e778e-83bb-443d-aef1-9de6611266d8","resolution":{"observed_at":"2026-08-16T10:27:53.264091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.245985Z","title":"DOTS: decoupling operation and topology in differentiable architecture search,","venue":null,"work_id":"254b9b1f-6d3b-452e-ab69-4b2977e4122d","year":2021},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.610847Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:85d4fef8ed51141d44b29eca877da252d6f1e60c128ce15e65d1896dd7ae586e","observation_id":"90135572-87c0-4cd7-9a78-b416f177d1c5","resolution":{"observed_at":"2026-08-16T10:27:53.250498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.231892Z","title":"Evolving connec- tions in group of neurons for robust learning,","venue":null,"work_id":"3e6b0acf-61f5-4406-bbd9-586a5b33fc0a","year":2022},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.615080Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:ca718d5e6afda900c9a3ed34a2db1555f99aba69240b3c42652ea99ed62f425a","observation_id":"a3bb0199-5661-4b16-83a9-9866925f31ea","resolution":{"observed_at":"2026-08-16T10:27:53.236479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.218430Z","title":"Exploring randomly wired neural networks for image recognition,","venue":null,"work_id":"73d1e905-880e-42d3-bf82-a04d2f9ff938","year":2019},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.619287Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:4eb52fb9e6dfbe636259ad9d14943873adf39f35da2b20ae094e6593aa937d00","observation_id":"1df9263d-a2e7-4d26-ad17-d9a1e3a725e8","resolution":{"observed_at":"2026-08-16T10:27:53.222699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.204855Z","title":"DNAD: Differentiable neural architecture distillation,","venue":null,"work_id":"fdf3d048-d278-42bf-ab6b-82d732312ec7","year":2022},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.623481Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:5507e98656e0d9e78eb1da3985027d5fdd46eb5798e9a9d249b8f441330fa2db","observation_id":"39f0770f-5db3-4e90-8662-6ced48886439","resolution":{"observed_at":"2026-08-16T10:27:53.209164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.189768Z","title":"Partially-connected neural architecture search for reduced computational redundancy,","venue":null,"work_id":"30fce7f8-5f89-4a86-850b-73bae9ba3f97","year":2021},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.627943Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:c1bbf7121be8d8ae3ae9d47c285535bd6e0192312f81b25cd08bbcbb7664c6ab","observation_id":"34dcd9eb-c523-4455-a277-a301e582e0a9","resolution":{"observed_at":"2026-08-16T10:27:53.194258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.173975Z","title":"Relativenas: Relative neural architecture search via slow-fast learning,","venue":null,"work_id":"84a3e60d-d141-44f7-b9ce-afc37ad720cc","year":2021},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.632342Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:29b105ec1f79ed33cebf59d5dc8baa3734c0df51be03e5d7fefe4f410ed7994a","observation_id":"b1662f85-752d-45ad-a861-d1323e634aca","resolution":{"observed_at":"2026-08-16T10:27:53.179525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.159662Z","title":"XNAS: Neural architecture search with expert advice,","venue":null,"work_id":"d055109a-7e6a-4bcc-9aa1-a3a26acb44cf","year":2019},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.636677Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:215b2d3794e1fef3d4212b12f5593dec4c1918e20202a280a5eb18a927610b4d","observation_id":"20648bf9-f561-4a2c-bb5b-b96bb66508ad","resolution":{"observed_at":"2026-08-16T10:27:53.164207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.145268Z","title":"β-darts: Beta-decay regularization for differentiable architecture search,","venue":null,"work_id":"ba910371-39c2-4467-a367-70cb2a9e10de","year":2022},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.641161Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:781629084c20d841814bc85819e6a9a6d58a78ed9a12af28029e206a95b2184f","observation_id":"3119d05d-5947-4f63-9f38-29ab2f847508","resolution":{"observed_at":"2026-08-16T10:27:53.149644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.130724Z","title":"Cyclic differentiable architecture search,","venue":null,"work_id":"dc845f8b-7138-40f4-bf68-a57f94e99ee8","year":2023},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.646270Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:4d639366cbdbb3789782a5cdf764011e5ed6a2aebcced853f27b279ed46345be","observation_id":"cdae51c8-45d8-40c4-868d-80a8a90ff00c","resolution":{"observed_at":"2026-08-16T10:27:53.135798Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.561067Z","title":"Regularized evolution for image classifier architecture search,","venue":null,"work_id":"4717b469-bc9e-440c-96ee-ded8a05a7747","year":2019},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.650609Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:47ab0b4dedccf386291662f2bbcd5deddbd095771352968fc4079ac779427188","observation_id":"6bd52fa3-2ce9-4921-b4de-f5807c60a0d9","resolution":{"observed_at":"2026-08-16T10:27:53.565862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.116398Z","title":"ShuffleNet V2: Practical guidelines for efficient CNN architecture design,","venue":null,"work_id":"25561fcd-82dc-4e11-ad46-f93493dbc105","year":2018},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.654891Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:61f9d23aee68d88fe6e405ad4de8fd08056a2249802c297f0dc6e53e182f8850","observation_id":"3909ee29-9a13-4cae-92d5-6d7dabd41e5b","resolution":{"observed_at":"2026-08-16T10:27:53.121089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1704.04861","last_updated":"2017-04-17T03:57:34Z","snapshot_observed_at":"2026-08-20T09:32:02.065929Z","submitted_at":"2017-04-17T03:57:34Z","title":"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.04861","snapshot_observed_at":"2026-08-16T10:27:52.659871Z","title":"MobileNets: Efficient convo- lutional neural networks for mobile vision applications,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.659871Z"},"links":{"cited_paper":"/paper/1704.04861","citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:b729c528e70de67cfdf9bb138f7235a37f7ea34e5b50604d8c8a07a75402ef0a","observation_id":"e0f357b0-4a18-4ec5-b231-e98a32300dff","resolution":{"observed_at":"2026-08-16T10:27:52.659871Z","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":"2026-08-16T10:27:53.101378Z","title":"Mo- bileNetV2: Inverted residuals and linear bottlenecks,","venue":null,"work_id":"d9faccc9-9b1e-44d9-b3a1-bd9b1ab99042","year":2018},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.664579Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:eb3150e1ee3aa3c7332d3d3b20bb5803c852bfa585f7159ea2328d22d392284e","observation_id":"a2e854d2-fe6c-4f29-aa0c-0af2505426a5","resolution":{"observed_at":"2026-08-16T10:27:53.106883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.086114Z","title":"Searching for a robust neural architecture in four gpu hours,","venue":null,"work_id":"b5d57c2f-8b0c-4e79-82b3-1e1598d98cab","year":2019},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.669670Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:b95572f95fea72e2bf03877a345831a1eb2af90d6804b6c6eaf1ea9feaa38d04","observation_id":"21fcda9a-d1e5-4a84-8bbb-8006cf909c96","resolution":{"observed_at":"2026-08-16T10:27:53.091285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.070741Z","title":"ℓ-darts: Light- weight differentiable architecture search with robustness enhancement strategy,","venue":null,"work_id":"afd58f97-6aa9-4ae9-ac61-6c65ca522f8c","year":2024},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.674340Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:a2526b66c8037576550c87c720a664242cf8274c17169e0ab8abde91fd5f68bc","observation_id":"bd010c99-9809-40a3-9663-9320d524fda4","resolution":{"observed_at":"2026-08-16T10:27:53.075219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:52.679367Z","title":"Self-adaptive weight based on dual- attention for differentiable neural architecture search,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.679367Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:a83ef4654c80fee7b07889c410d9a48e9b5c2af285ef4d423a8a72aeb59a6e65","observation_id":"125a14c5-810b-42c7-b6a5-160a2320bc65","resolution":{"observed_at":"2026-08-16T10:27:52.679367Z","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":"2026-08-16T10:27:52.683505Z","title":"STO-DARTS: Stochastic bilevel optimization for differentiable neural architecture search,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.683505Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:49ed64b3741c922a9987f944df8cdce54b61c930a01d09dc8c62af8b7eb6703e","observation_id":"cc1c3387-8062-4414-959f-cfe8c6912356","resolution":{"observed_at":"2026-08-16T10:27:52.683505Z","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":"2026-08-16T10:27:53.055621Z","title":"SaDENAS: A self-adaptive differential evolution algorithm for neural architecture search,","venue":null,"work_id":"8b5e7787-6cf5-4e14-9ed2-b68c3795e007","year":2024},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.688560Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:d9775eb7d0d745aaf693cc8f1dd1270c9643d8b0d874c6762940f147e6332a0a","observation_id":"ed8e19d7-3ad7-4826-85f5-9e09bda732b2","resolution":{"observed_at":"2026-08-16T10:27:53.060211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.040610Z","title":"EG-NAS: Neural architecture search with fast evolutionary exploration,","venue":null,"work_id":"59aa6656-902b-42e7-a20e-175268428cce","year":2024},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.692955Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:f691566c61dcab4b6766ac1a73062fe2b2e46bf363e12986650f69c2ce87aaa4","observation_id":"75f7cc3b-dee7-4f24-bec8-260fca09e810","resolution":{"observed_at":"2026-08-16T10:27:53.045608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.026138Z","title":"Operation-level early stopping for robustifying differentiable NAS,","venue":null,"work_id":"ffa7f2a7-64b2-461f-b902-5069558e2be3","year":2024},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.697987Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:fa982bd094bdd3f4efec5bcecf851291fe2d0f81b5d13fdbc540545baa651734","observation_id":"d0104500-19ff-424a-aa5c-f0bd1b66a38a","resolution":{"observed_at":"2026-08-16T10:27:53.030808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-16T10:27:53.011553Z","title":"DARTS-PT-CORE: Collaborative and regularized perturbation-based architecture selection for differentiable nas,","venue":null,"work_id":"496ba1df-6f6e-498f-904f-1178f2efcebf","year":2024},"citing_paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-16T10:27:52.702479Z"},"links":{"citing_paper":"/paper/2504.20079"},"observation_digest":"sha256:fb324848b0ba20919f477c73714da243f21d02697bb2fb95e6f0ad30cbadb23c","observation_id":"ec34b908-d84d-46c4-8305-3983e716a263","resolution":{"observed_at":"2026-08-16T10:27:53.016634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2504.20079","last_updated":"2025-04-25T08:34:29Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-19T09:28:25.303364Z","submitted_at":"2025-04-25T08:34:29Z","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking"},"reference_resolution":{"displayed":68,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":2,"verified_fuzzy":60},"total_outbound_references":68},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2504.20079."}