{"as_of":"2026-08-14T17:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ab5bd715991f2a8645d8554d138f2b07f05c56a12a61e19dd07fdb28bae64a10","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T04:33:48.677516Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.08664/citation-record","integrity":"/paper/2608.08664/integrity","json":"/paper/2608.08664/citation-record.json","paper":"/paper/2608.08664"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.493227Z","title":"Explainable artificial intelli- gence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.Information Fusion, 58:82–115, 2020","venue":null,"work_id":"9723d159-a617-499e-9bed-74dd27983622","year":2020},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.365242Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:f460fbf0ffe72745b6800b66d0f29045f1ffd6bc7f367a53b7276ad860fffbb9","observation_id":"df2cef2a-aa61-4091-ae75-d1ce3243b79b","resolution":{"observed_at":"2026-08-14T04:33:49.499388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.477542Z","title":"Diffu- sion visual counterfactual explanations.Advances in Neural Information Processing Systems, 35:364–377, 2022","venue":null,"work_id":"4b092134-d0ec-4375-87b2-25e0fcdc0555","year":2022},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.426853Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:ded27c35a0aa6615e12138fff032c39277256005e03495379a088cb878520e18","observation_id":"5722dbe6-7e8a-4b93-957a-a138910bc035","resolution":{"observed_at":"2026-08-14T04:33:49.481952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.462097Z","title":"Sparse visual counterfactual explanations in image space","venue":null,"work_id":"bc2eb58c-23b8-4a67-926c-143230854466","year":2022},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.434073Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:5f8d37cd02f8f04e54d2216a0270282eb90fc56d8998e7b552a21719facd2d78","observation_id":"f2b65e98-d97d-4d9e-bdb8-789c13b85517","resolution":{"observed_at":"2026-08-14T04:33:49.467035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.446890Z","title":"Parkhi, and Andrew Zisserman","venue":null,"work_id":"9064d35a-5100-4802-8c88-be786df48cc8","year":2018},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.441889Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:5cf5891af66c97fef7694f5b094931dd9356df4cd20994018d6186af75b63316","observation_id":"78188967-42c7-494c-9b47-b4eac256ad4c","resolution":{"observed_at":"2026-08-14T04:33:49.451592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.431014Z","title":"Exploring simple Siamese representation learning","venue":null,"work_id":"de8e6ad7-b903-4244-9468-d446fbdf2faf","year":2021},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.448002Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:9f58d9f67ee7b29b7d8f52a3a21ba3b331f6f00ca6912e1af373101bbb022edb","observation_id":"baac0900-9934-4959-923c-70717b6aff2e","resolution":{"observed_at":"2026-08-14T04:33:49.436511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.406542Z","title":"StarGAN: Unified generative adversarial networks for multi-domain image-to- image translation","venue":null,"work_id":"638d419d-ef18-4ca4-a440-69b9ca295cb6","year":2018},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.455101Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:5b2141e555840e24554f09cb17fb37b4d551cfbadc237c80946ef519620f3cd6","observation_id":"b0408d06-187f-437a-8fb3-a412a9fd0bea","resolution":{"observed_at":"2026-08-14T04:33:49.413852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.383712Z","title":"Diffusion models beat GANs on image syn- thesis.Advances in Neural Information Processing Systems, 34:8780–8794, 2021","venue":null,"work_id":"4d0a05de-674e-4ffe-b641-bb06e1725951","year":2021},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.461556Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:d3260fd039273ca491f8b038de505581bda79663e516e3198859bbf00e6cc592","observation_id":"697d3801-43e4-48e4-8119-67bd56d6e97d","resolution":{"observed_at":"2026-08-14T04:33:49.390520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06668","last_updated":"2023-10-10T14:42:34Z","snapshot_observed_at":"2026-08-14T04:39:28.406997Z","submitted_at":"2023-10-10T14:42:34Z","title":"Latent Diffusion Counterfactual Explanations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06668","snapshot_observed_at":"2026-08-14T04:33:48.466924Z","title":"Latent diffusion counter- factual explanations.arXiv preprint arXiv:2310.06668, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.466924Z"},"links":{"cited_paper":"/paper/2310.06668","citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:6570c7e25f3e5e68c82586481250070562d91907cd35127b45e84e48da58b355","observation_id":"36d4fdcf-50fa-40c5-90e8-949675e0ce2d","resolution":{"observed_at":"2026-08-14T04:33:48.466924Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.09288","last_updated":"2024-05-15T12:17:35Z","snapshot_observed_at":"2026-08-13T00:07:16.838139Z","submitted_at":"2024-05-15T12:17:35Z","title":"DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.09288","snapshot_observed_at":"2026-08-14T04:33:48.472773Z","title":"DeCoDEx: Confounder detector guidance for improved diffusion-based counterfactual explanations.arXiv preprint arXiv:2405.09288, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.472773Z"},"links":{"cited_paper":"/paper/2405.09288","citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:3ecffeab867a12f559b7b8100e7eccc82f0c53de312f68a26c5c21d3b70e3417","observation_id":"75276fec-7b76-4233-b52a-fc10bf4e4610","resolution":{"observed_at":"2026-08-14T04:33:48.472773Z","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":"2026-08-14T04:33:49.368382Z","title":"Counter- factual visual explanations","venue":null,"work_id":"3599c524-bee6-4dd9-b4ff-6908af12f191","year":2019},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.478794Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:ebdad456b8488f8af3e3a8474c2d7eccbb9182463b83724d0782832bd92f6836","observation_id":"58cf3c06-eedb-4c8a-af5b-3a44017c93e2","resolution":{"observed_at":"2026-08-14T04:33:49.373640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.18792","last_updated":"2026-04-23T15:15:48Z","snapshot_observed_at":"2026-08-11T05:24:10.221310Z","submitted_at":"2026-02-21T10:53:50Z","title":"MaskDiME: Adaptive Masked Diffusion for Precise and Efficient Visual Counterfactual Explanations","version":3},"cited_work":{"arxiv_id":"2602.18792","doi":null,"metadata_source":"pith","pith_arxiv_id":"2602.18792","snapshot_observed_at":"2026-08-14T04:33:48.857821Z","title":"MaskDiME: Adaptive Masked Diffusion for Precise and Efficient Visual Counterfactual Explanations","venue":"cs.CV","work_id":"0b1db90d-7d7c-4115-8d7f-6cc5fb2206ce","year":2026},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.483826Z"},"links":{"cited_paper":"/paper/2602.18792","citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:c8d6855f1067b07fec9d4c982656a19f100bf6cbd9c03b68b981c525a1f3f102","observation_id":"862812e5-a50a-495b-8a03-94630f24abf4","resolution":{"observed_at":"2026-08-14T04:33:48.864731Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.352528Z","title":"AttGAN: Facial attribute editing by only changing what you want.IEEE Transactions on Image Processing, 28(11):5464–5478, 2019","venue":null,"work_id":"fd5751a9-e5cf-49af-815f-438450193f67","year":2019},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.489507Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:07503110fcee8d21db2d2912ec047abb014c46c1c42309de129067cb9287e170","observation_id":"1f1c77dc-e9bc-40f5-953e-fd4df614dab8","resolution":{"observed_at":"2026-08-14T04:33:49.357717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.332410Z","title":"Generating visual explanations","venue":null,"work_id":"2fbe397f-3123-4895-a445-d0a19d562f48","year":2016},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.494924Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:2d9889b2e93293d8029539295445d52c7bdf8c5e718fa6cc23918ff1e0b3799e","observation_id":"fda91403-4be7-459d-acd8-40cb1a9c3742","resolution":{"observed_at":"2026-08-14T04:33:49.339513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.306916Z","title":"GANs trained by a two time-scale update rule converge to a local Nash equilibrium.Advances in Neural Information Processing Systems, 30, 2017","venue":null,"work_id":"0c6e2c5b-625b-4d6f-8346-f2266f8dd416","year":2017},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.500146Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:72a2fb2a24adab633eb5478287132e56bfaa5efda2a9db18c78dcb612f1ddabc","observation_id":"b8667ea9-6b66-43a0-9a4b-a562f3606487","resolution":{"observed_at":"2026-08-14T04:33:49.312450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:48.504654Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.504654Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:f7f825c49e1df24313da9a2e6e5b56b6a7ccbbb4f08e11fed748b1fd0a054432","observation_id":"ba536e88-901a-47cf-8119-2c749fd0a174","resolution":{"observed_at":"2026-08-14T04:33:48.504654Z","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":"2026-08-14T04:33:49.277776Z","title":"Weinberger","venue":null,"work_id":"a3cd3465-d906-45f9-aaca-d32de204126a","year":2017},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.510181Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:0ab8e379824536c8690c31f34baed7c5574d41db2ccf016509dfafbecf509279","observation_id":"9c55e99f-ffe5-438c-a381-13ed46535b37","resolution":{"observed_at":"2026-08-14T04:33:49.281902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.262192Z","title":"CheXpert: A large chest radiograph dataset with uncertainty labels and expert com- parison","venue":null,"work_id":"135ff4db-ab58-4717-90a4-1cddb2f8768f","year":2019},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.515141Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:b1fbb397ec4b6563f234656f91a8d4c5776496e46a638f00627d551a5bc41a2f","observation_id":"bb708d68-b53e-4a79-8c5a-70514e05f7b4","resolution":{"observed_at":"2026-08-14T04:33:49.267419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.245627Z","title":"STEEX: Steering counterfactual explanations with semantics","venue":null,"work_id":"72470379-20c7-4200-acec-ae0b9cc3a00f","year":2022},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.520419Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:7ccbe677c45b50b96a8e8f7d1b989f95b968012d515689845168ff99c8cea6ac","observation_id":"99f027d2-7006-417f-b452-6872e8430caa","resolution":{"observed_at":"2026-08-14T04:33:49.251293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.227249Z","title":"Diffusion models for counterfac- tual explanations","venue":null,"work_id":"4be7401d-5080-4e86-b84e-2c1bb1adaa56","year":2022},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.529026Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:a6596af978439a12f159f92bee88713190755abed073ed024d890a5c4b35f0c8","observation_id":"dcd5a849-4184-464f-a699-07c35f28904a","resolution":{"observed_at":"2026-08-14T04:33:49.231921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.207943Z","title":"Adversarial counterfactual visual explanations","venue":null,"work_id":"78d1df06-4dc5-430a-b534-5f9a1c5231ed","year":2023},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.534728Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:75d5edd481fde8ce2b9cadcd691caac82a02064725cdf9f215e9936743618286","observation_id":"969e5989-4320-4852-9b12-68ae3b238a3c","resolution":{"observed_at":"2026-08-14T04:33:49.212972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.188139Z","title":"Text-to-image models for coun- terfactual explanations: A black-box approach","venue":null,"work_id":"3dcb5090-30d2-4498-87ad-fc9b9e35cb43","year":2024},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.540509Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:81c90ee94acab78dc790bd038941fc5759778a70a8247e3819bc3d2fa0dda753","observation_id":"f4f26791-02af-4750-98b7-4011fbbef812","resolution":{"observed_at":"2026-08-14T04:33:49.192778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.171400Z","title":"Perceptual losses for real-time style transfer and super-resolution","venue":null,"work_id":"e6914e1f-d2b8-41c2-9fb5-3baa1b356d69","year":2016},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.546111Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:daf2411dd0337668f7ad35a08611274bc5395028ae9aca7cf302aa3c95de150f","observation_id":"9fa320a9-da99-4b08-b40c-899b7e26dec6","resolution":{"observed_at":"2026-08-14T04:33:49.176594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.08867","last_updated":"2018-06-22T21:58:14Z","snapshot_observed_at":"2026-07-06T06:46:22.829218Z","submitted_at":"2018-06-22T21:58:14Z","title":"xGEMs: Generating Examplars to Explain Black-Box Models","version":1},"cited_work":{"arxiv_id":"1806.08867","doi":null,"metadata_source":"pith","pith_arxiv_id":"1806.08867","snapshot_observed_at":"2026-08-14T04:33:48.830178Z","title":"xGEMs: Generating Examplars to Explain Black-Box Models","venue":"cs.LG","work_id":"ad2f6923-a664-46ed-b265-7f652fa691c5","year":2018},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.551973Z"},"links":{"cited_paper":"/paper/1806.08867","citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:7f3218b2d5bafac590941a187a7d48573fbfdc06526515ecfccbba073af577e1","observation_id":"f5f0d97a-c695-48eb-87a5-ca24ff61f3ba","resolution":{"observed_at":"2026-08-14T04:33:48.838376Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1710.10196","last_updated":"2018-02-26T15:33:34Z","snapshot_observed_at":"2026-07-06T06:06:26.276752Z","submitted_at":"2017-10-27T15:28:35Z","title":"Progressive Growing of GANs for Improved Quality, Stability, and Variation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.10196","snapshot_observed_at":"2026-08-14T04:33:48.558206Z","title":"Progressive growing of GANs for improved quality, stability, and variation.arXiv preprint arXiv:1710.10196, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.558206Z"},"links":{"cited_paper":"/paper/1710.10196","citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:1026c1b43b018edd79122f0b82ad6f66cc4e73f46c54532915765c61b2123c01","observation_id":"84015994-8851-4216-880b-a8e720e10144","resolution":{"observed_at":"2026-08-14T04:33:48.558206Z","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":"2026-08-14T04:33:49.153065Z","title":"Cycle-consistent counterfactuals by latent transforma- tions","venue":null,"work_id":"474087b8-0c3e-4526-b08f-620096e57ab4","year":2022},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.563654Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:685a19961dbb655b4e743416718726d6ea33fe94f6cfb843de57b351ff7c83da","observation_id":"48e07e5c-44e4-429d-bd5b-0cd6242e6e42","resolution":{"observed_at":"2026-08-14T04:33:49.159547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.137524Z","title":"Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (TCA V)","venue":null,"work_id":"a22f386c-0f22-47f4-8c47-a120341e8562","year":2018},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.569356Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:2d635cded65944cb8675499e5111c1539318b5662502afcbac0df546c71c80d0","observation_id":"4874a185-06a4-4b53-9420-820d9c4c9ea4","resolution":{"observed_at":"2026-08-14T04:33:49.142197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.00196","last_updated":"2025-07-22T16:26:39Z","snapshot_observed_at":"2026-08-10T17:23:11.796763Z","submitted_at":"2025-02-28T21:32:08Z","title":"PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.00196","snapshot_observed_at":"2026-08-14T04:33:48.574791Z","title":"PRISM: High-resolution and precise counterfactual medical image generation using language-guided stable dif- fusion.arXiv preprint arXiv:2503.00196, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.574791Z"},"links":{"cited_paper":"/paper/2503.00196","citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:a55a3506fe60ca738a643410618cdc5b6b7d275ee009385561be8fdd2609a2a0","observation_id":"ab7a4c4e-7d35-45ab-bd1f-ded6e79d2288","resolution":{"observed_at":"2026-08-14T04:33:48.574791Z","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":"2026-08-14T04:33:49.122092Z","title":"Freeman, Phillip Isola, Amir Globerson, Michal Irani, et al","venue":null,"work_id":"509e3aa1-fbe5-4204-8042-2f5cd79c4091","year":2021},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.579781Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:feb4389a1fbc5f561ae2555c5d1f44fb002419ec745340593c1484a7a8c5113c","observation_id":"a1cc9ab1-4796-4709-8f72-f4e8358b0053","resolution":{"observed_at":"2026-08-14T04:33:49.126934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02747","last_updated":"2023-02-08T15:46:05Z","snapshot_observed_at":"2026-08-02T18:24:58.914589Z","submitted_at":"2022-10-06T08:32:20Z","title":"Flow Matching for Generative Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02747","snapshot_observed_at":"2026-08-14T04:33:48.585249Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.585249Z"},"links":{"cited_paper":"/paper/2210.02747","citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:cb6225118ca3a7be4bbc81f766bebd8e8b55b23b2338e8f6a9355b8343dea8a3","observation_id":"2cfad392-4375-4c33-9c97-fe0d30807e1a","resolution":{"observed_at":"2026-08-14T04:33:48.585249Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.14577","last_updated":"2022-09-29T06:37:26Z","snapshot_observed_at":"2026-08-07T23:47:17.083775Z","submitted_at":"2022-09-29T06:37:26Z","title":"Rectified Flow: A Marginal Preserving Approach to Optimal Transport","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.14577","snapshot_observed_at":"2026-08-14T04:33:48.590550Z","title":"Rectified flow: A marginal preserving approach to optimal transport.arXiv preprint arXiv:2209.14577, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.590550Z"},"links":{"cited_paper":"/paper/2209.14577","citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:fcccebf48b2551fb59de8c872b201c222b1fb7eaf62d53040a25347b64d5fdca","observation_id":"c193f92e-3ddd-4c96-a5a0-96370dbe818e","resolution":{"observed_at":"2026-08-14T04:33:48.590550Z","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":"2026-08-14T04:33:48.596361Z","title":"Flow straight and fast: Learning to generate and transfer data with rectified flow","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.596361Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:9abbce7c9801b8f06a569d1d93ca3cd4d751771f50d085bbae4c566eb9e9475e","observation_id":"a359abaf-70b0-4ef0-8b82-f7a38b0fa868","resolution":{"observed_at":"2026-08-14T04:33:48.596361Z","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":"2026-08-14T04:33:49.095714Z","title":"InstaFlow: One step is enough for high-quality diffusion-based text-to-image generation","venue":null,"work_id":"e7463cc9-00af-41cc-be63-d7e761c93260","year":2024},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.601782Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:9946d770003b850dfb644978898659d3e32503877464e3ec51edb2796ddb2592","observation_id":"8a36a54c-f77d-406e-964c-ba9147bb067d","resolution":{"observed_at":"2026-08-14T04:33:49.100255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.080423Z","title":"Deep learning face attributes in the wild","venue":null,"work_id":"5464890b-a738-450a-922c-a82d9f616f17","year":2015},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.607314Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:80497c9cebb53c286598d3af438b52e56c95b71229725f240620f3160c419f9e","observation_id":"9431fd5e-6b7c-4868-a206-47ba65d01d32","resolution":{"observed_at":"2026-08-14T04:33:49.085255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.22158","last_updated":"2026-05-09T16:47:56Z","snapshot_observed_at":"2026-07-06T22:43:35.226546Z","submitted_at":"2026-01-29T18:59:56Z","title":"One-step Latent-free Image Generation with Pixel Mean Flows","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.22158","snapshot_observed_at":"2026-08-14T04:33:48.612624Z","title":"One-step latent-free image generation with Pixel Mean Flows.arXiv preprint arXiv:2601.22158, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.612624Z"},"links":{"cited_paper":"/paper/2601.22158","citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:b23916c2e278195b5aa170e61f851eec8a68566bb3a3db0c7d4084968f68f9ed","observation_id":"279c9d6e-e866-4544-8e06-804061cddf89","resolution":{"observed_at":"2026-08-14T04:33:48.612624Z","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":"2026-08-14T04:33:49.065103Z","title":null,"venue":null,"work_id":"a8471476-2aa8-4c46-a9b4-db8ac7c02cb4","year":1992},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.618137Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:fb575796d96685b3e45b676f38e476136e01829be52830fc805bdb26e7b6fc0c","observation_id":"d99fd09b-9e96-4fdc-ac05-70b6c7802cbb","resolution":{"observed_at":"2026-08-14T04:33:49.069778Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.049331Z","title":"Beyond trivial counterfactual explanations with diverse valuable explanations","venue":null,"work_id":"64cbae28-e258-4d08-bb42-de2d267c959c","year":2021},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.623106Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:1c8d17dd414f9497b2b053d9dde6640ad95ad4c15cea1b385f247ad2ae0d647e","observation_id":"b3e121a2-9516-4db5-aa30-d59159d9350e","resolution":{"observed_at":"2026-08-14T04:33:49.054268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.033012Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":"efa02ed6-e1d9-432f-89fa-37ea15aa0228","year":2022},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.629480Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:c6d59426e6bee133dce5cd89160e8860ed151273817e84c0b12ab7a6a40711aa","observation_id":"9c42dabf-bfe7-41e4-a5a5-e52db781ee21","resolution":{"observed_at":"2026-08-14T04:33:49.038687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:49.014550Z","title":"Rudin, Stanley Osher, and Emad Fatemi","venue":null,"work_id":"d1569a94-bf42-4e9e-b832-737b6b96634d","year":1992},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.635006Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:35b16d0cea5909ff3939648f462b37a84fed63604e0cdaee292a41446885a948","observation_id":"ee5dc39e-6a9a-4a09-a60a-3ce300905807","resolution":{"observed_at":"2026-08-14T04:33:49.020757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:48.993860Z","title":"Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra","venue":null,"work_id":"5c2e49b9-c612-46b2-b982-19ea5560044a","year":2017},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.640255Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:7592944964c2896e5c9be2666bc58610649956321496763ac29996de4145a16c","observation_id":"841af5dd-22a6-4ba4-95bc-1ab21a200040","resolution":{"observed_at":"2026-08-14T04:33:49.001609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6034","last_updated":"2014-04-19T11:54:52Z","snapshot_observed_at":"2026-07-06T03:31:30.452356Z","submitted_at":"2013-12-20T16:45:54Z","title":"Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6034","snapshot_observed_at":"2026-08-14T04:33:48.645454Z","title":"Deep inside convolutional networks: Visualising image classification models and saliency maps.arXiv preprint arXiv:1312.6034, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.645454Z"},"links":{"cited_paper":"/paper/1312.6034","citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:866739db16d3d0a605a0fd11482686967ff693965dfac45b19863dc7b1b7098f","observation_id":"569376cf-d116-432a-bcc4-35f80240c6ca","resolution":{"observed_at":"2026-08-14T04:33:48.645454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03825","last_updated":"2017-06-12T19:53:30Z","snapshot_observed_at":"2026-08-13T07:27:38.847413Z","submitted_at":"2017-06-12T19:53:30Z","title":"SmoothGrad: removing noise by adding noise","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03825","snapshot_observed_at":"2026-08-14T04:33:48.651201Z","title":"SmoothGrad: Removing noise by adding noise.arXiv preprint arXiv:1706.03825, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.651201Z"},"links":{"cited_paper":"/paper/1706.03825","citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:7832426d9b100037cd42ba9bd4cb377ecbe5d1e97d2cb5ec75091f3cda858f55","observation_id":"335639d7-5c53-4d70-8206-2905c72d042b","resolution":{"observed_at":"2026-08-14T04:33:48.651201Z","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":"2026-08-14T04:33:48.976330Z","title":"Rethinking visual counterfactual explanations through region con- straint","venue":null,"work_id":"26a67a60-43f0-4018-af24-8ac04eaa9e0b","year":2025},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.656737Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:3bde6498f01cfbe375c5c588a0a6094be22103fb845d1f716eba14c340de62d5","observation_id":"9d460466-40a0-4b77-9daa-4c12fe5136b9","resolution":{"observed_at":"2026-08-14T04:33:48.982298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:48.959227Z","title":"Counterfactual explanations without opening the black box: Automated decisions and the GDPR.Harvard Journal of Law & Technology, 31(2):841–887, 2017","venue":null,"work_id":"ac6bf5bd-ae63-4c19-b656-1a36bf18b0c2","year":2017},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.661777Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:4cfb552aa1d1e6eb64c2061682234d5fc14992421c1412c1e1a955feccf80e5f","observation_id":"9acae7a5-eff8-431f-bcee-1e4ff3ec9e2c","resolution":{"observed_at":"2026-08-14T04:33:48.964986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:48.941574Z","title":"Fast diffusion-based counterfactuals for shortcut removal and generation","venue":null,"work_id":"30150a63-e0c0-4516-8855-ef766088c8ed","year":2024},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.667057Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:0a196847c9d0b745db1539c5029286d2a0deb15ea1f30e906bd7a7fdce58e3f9","observation_id":"8628136d-6a44-4829-9ded-712d0557a78e","resolution":{"observed_at":"2026-08-14T04:33:48.947547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:48.921004Z","title":"Text-to- image rectified flow as plug-and-play priors","venue":null,"work_id":"58ad12e2-2500-4310-ba28-92101bed10d9","year":2025},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.672496Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:61ac53a3b659eb46d1044d824670760b94cd17810c4f1120d09b5b45e5f4e294","observation_id":"3ac6c967-3594-4188-96ef-7e6ad418145a","resolution":{"observed_at":"2026-08-14T04:33:48.928564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:48.677516Z","title":"Efros, Eli Shechtman, and Oliver Wang","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T04:33:48.677516Z"},"links":{"citing_paper":"/paper/2608.08664"},"observation_digest":"sha256:e3a4526deee63389a6b131b201b7cf935daafc8d17ec239a2fb2c53d01c610f0","observation_id":"3c5a5593-d4aa-4f6a-8781-cf8ca3cba82d","resolution":{"observed_at":"2026-08-14T04:33:48.677516Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.08664","last_updated":"2026-08-09T12:15:37Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T17:14:50.543294Z","submitted_at":"2026-08-09T12:15:37Z","title":"FiRe: Fixed-Noise Refinement for Visual Counterfactual Explanations"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":2,"verified_fuzzy":31},"total_outbound_references":46},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2608.08664."}