{"as_of":"2026-08-12T05:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fa88938e856180021b2ed1d29b7a07caaf5bfcd49652ce80dd2566082d03d442","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T13:54:19.368008Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2412.16204/citation-record","integrity":"/paper/2412.16204/integrity","json":"/paper/2412.16204/citation-record.json","paper":"/paper/2412.16204"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2005.00928","last_updated":"2020-05-31T16:59:40Z","snapshot_observed_at":"2026-08-10T11:20:26.295031Z","submitted_at":"2020-05-02T21:45:27Z","title":"Quantifying Attention Flow in Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.00928","snapshot_observed_at":"2026-08-11T13:54:19.098488Z","title":"Quantifying attention flow in transformers","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.098488Z"},"links":{"cited_paper":"/paper/2005.00928","citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:1e73d80fa57fe510d0e22853fcab6989715e7a7dbf52f4ba1937ba6a9a75aa8d","observation_id":"26cd8a8f-2267-423a-abe1-0f12fa1f7a77","resolution":{"observed_at":"2026-08-11T13:54:19.098488Z","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":"2026-08-11T13:54:20.341466Z","title":"Sanity checks for saliency maps","venue":null,"work_id":"eb2550bd-66b3-4a41-91d1-5ffba2c77e5d","year":2018},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.109228Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:d8e34244a73337844d36ec1e428c4be2f2ef3a36c849df6da6d63a242f0a3ce9","observation_id":"8d6621fa-a56c-4068-9c59-60a4ed93fde2","resolution":{"observed_at":"2026-08-11T13:54:20.347271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:19.118601Z","title":"On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.118601Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:e4c21cfb74174f32e50182f35959fda979f3071a9341e5d473dec1125445fe12","observation_id":"2d1e176f-2a31-4012-acce-3a0eb2b3e9b5","resolution":{"observed_at":"2026-08-11T13:54:19.118601Z","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":"2026-08-11T13:54:19.124818Z","title":"Random forests","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.124818Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:68651c9cd34f7385a6544e622d4bb172644a6cf170090a7486e7005080b1d817","observation_id":"fe9e3df7-da48-43d0-9ec9-d66c63612048","resolution":{"observed_at":"2026-08-11T13:54:19.124818Z","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":"2026-08-11T13:54:20.300821Z","title":"Machine learning interpretability: A survey on meth- ods and metrics","venue":null,"work_id":"e1a07a60-3a79-4b3b-9770-594a4c7762ca","year":2019},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.132360Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:7c451f6f293c7477cb9b1e69507647de2d8a35f264057e529d13512a15aa8f59","observation_id":"48a58cac-d8ed-455d-9502-a8d859d38f5d","resolution":{"observed_at":"2026-08-11T13:54:20.306321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:20.281971Z","title":"Grad-cam++: Gener- alized gradient-based visual explanations for deep convo- lutional networks","venue":null,"work_id":"a98fda97-5048-47c2-92aa-39bef29c1189","year":2018},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.138564Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:05bc59f851b05a86b4460fb7aa71e6e7ebbf2a49e693820a20aa187244f3fe06","observation_id":"62d2bbd3-628a-4db8-a78b-f22c484331cf","resolution":{"observed_at":"2026-08-11T13:54:20.287607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:20.263471Z","title":"Transformer inter- pretability beyond attention visualization","venue":null,"work_id":"695471d0-c62e-4e7b-8ba9-2c1d792b5bd8","year":2021},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.145284Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:f31d4794a5b5cfd890b88abc6bb30caacc8f985db08663f96fd257f476aed7e3","observation_id":"65213caf-f9f7-4c7b-84d2-1974b85824a5","resolution":{"observed_at":"2026-08-11T13:54:20.269436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:20.244884Z","title":"Robust physical-world attacks on deep learning visual classification","venue":null,"work_id":"10224d4d-fe19-4d1e-868f-51b0b064bee9","year":2018},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.151019Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:4bb60c5d5c4b34dcd31365bfafc0b9fb670a439e7fc6e92a161791fd1640f105","observation_id":"c0dbb652-7003-44d1-9c71-84607db3e2d8","resolution":{"observed_at":"2026-08-11T13:54:20.250825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:20.224983Z","title":"Revisit fuzzy neural network: bridging the gap between fuzzy logic and deep learning","venue":null,"work_id":"b00cf467-01c0-4638-b89d-7985e0d33407","year":2017},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.156223Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:52570acfb2eb6f56fbda9b9bb1a48e181d3b63ba295a64b9443e93989deed7e7","observation_id":"03e177eb-0322-45d1-8798-5709ec0a53c9","resolution":{"observed_at":"2026-08-11T13:54:20.232060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:20.205653Z","title":"Shapley values for feature selection: The good, the bad, and the axioms","venue":null,"work_id":"76f33b64-8722-4fab-80a2-cf28fe7fd6be","year":2021},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.161039Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:ea0ac206cd4835b51593356d1d948ef514b8c07bfdf9150f1826ec3c211d724d","observation_id":"e8d9576c-37a5-4200-8279-3ce9865e51d5","resolution":{"observed_at":"2026-08-11T13:54:20.211724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:20.183900Z","title":"Neural- symbolic learning and reasoning: A survey and interpreta- tion","venue":null,"work_id":"aa053eed-56b8-4e54-8097-8f252d3e6c2c","year":2022},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.165896Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:7871c4e47921ec2bcdb4465efa27e12ceac5de8d78b77936ced33633d5fb597a","observation_id":"67dd640e-3266-4235-8a70-d6495c3d92be","resolution":{"observed_at":"2026-08-11T13:54:20.190355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:20.165127Z","title":"Pytorch library for cam methods","venue":null,"work_id":"f0505a71-4171-4a35-9694-80d390e7eacc","year":2021},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.170908Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:e6f6586bd3cb9ec3cc6e5a365e78bc71713975986da5d61195375672862db77d","observation_id":"3ff0b269-9d0b-4d17-ac2f-94af4c3eb630","resolution":{"observed_at":"2026-08-11T13:54:20.170654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.11357","last_updated":"2022-02-10T11:45:29Z","snapshot_observed_at":"2026-08-10T15:08:21.733145Z","submitted_at":"2021-07-23T17:22:37Z","title":"Joint Shapley values: a measure of joint feature importance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.11357","snapshot_observed_at":"2026-08-11T13:54:19.175807Z","title":"Joint shapley values: a measure of joint feature importance","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.175807Z"},"links":{"cited_paper":"/paper/2107.11357","citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:a3e476ae9e9e09d430f713485ffba127ced5c063900340a861f25d91992a5e44","observation_id":"a2b1d17f-a66d-41e4-a1a2-1ae1f31e7d8b","resolution":{"observed_at":"2026-08-11T13:54:19.175807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.00905","last_updated":"2021-01-04T11:48:42Z","snapshot_observed_at":"2026-08-11T05:35:42.578056Z","submitted_at":"2021-01-04T11:48:42Z","title":"On Baselines for Local Feature Attributions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.00905","snapshot_observed_at":"2026-08-11T13:54:19.180861Z","title":"On baselines for local feature attributions","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.180861Z"},"links":{"cited_paper":"/paper/2101.00905","citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:ca940e60ddbc81030904cb09dfe33b290aadfe797d4c4cdff770d49dd18da4c0","observation_id":"7bc86b9b-13b2-4601-96c9-9e5f07b81c23","resolution":{"observed_at":"2026-08-11T13:54:19.180861Z","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":"2026-08-11T13:54:19.185929Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.185929Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:21d9521639be871d26a1877847ec83ee67516579cc84c8b6f32ab3d90de234da","observation_id":"a62225f8-7b2e-4552-942f-ba5437aa45b1","resolution":{"observed_at":"2026-08-11T13:54:19.185929Z","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":"2026-08-11T13:54:20.131149Z","title":"A benchmark for interpretability methods in deep neural networks","venue":null,"work_id":"808332bd-60c7-410e-bf3f-a0d25d3c5f87","year":2019},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.190644Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:ced7b6f3a6d5975af670bd85ceefcd694c29eda2d07e8a18e4ac44daee92b15e","observation_id":"bc16b653-4f5b-4bf2-993a-ddfd9d230004","resolution":{"observed_at":"2026-08-11T13:54:20.137552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:20.111840Z","title":"Unre- stricted permutation forces extrapolation: variable impor- tance requires at least one more model, or there is no free variable importance","venue":null,"work_id":"af8bf2c9-bb5c-44a9-8a16-c8ccb13c4f80","year":2021},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.195381Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:3afe65b0b825be221de3afb7b77eb60117ee80260b0098df5123247bf0460db9","observation_id":"af8ff131-9730-4bfa-868c-d3e560fe9c88","resolution":{"observed_at":"2026-08-11T13:54:20.118312Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-08-11T22:54:53.060343Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-11T13:54:19.200610Z","title":"Towards faithfully inter- pretable nlp systems: How should we define and evaluate faithfulness? arXiv preprint arXiv:2004.03685, 2020","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.200610Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:2a1aefa635f11550267d816aef40c866051fc77530b917630da3595812914ce1","observation_id":"d8dd5ced-db62-426d-9194-bad775103c6e","resolution":{"observed_at":"2026-08-11T13:54:19.200610Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.05463","last_updated":"2023-03-04T06:55:13Z","snapshot_observed_at":"2026-08-11T01:56:54.922930Z","submitted_at":"2021-09-12T08:50:17Z","title":"Logic Traps in Evaluating Attribution Scores","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.05463","snapshot_observed_at":"2026-08-11T13:54:19.206267Z","title":"Logic traps in evaluating attribu- tion scores","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.206267Z"},"links":{"cited_paper":"/paper/2109.05463","citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:3a49a7076cfd88e72d0825b21f6775db4501d66c131404cee2a4ac23c0e6cb41","observation_id":"e01b8e95-cedc-4137-b4f8-e67bf4d61cbe","resolution":{"observed_at":"2026-08-11T13:54:19.206267Z","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":"2026-08-11T13:54:20.087790Z","title":"The (un) reliability of saliency methods","venue":null,"work_id":"624ab524-b15e-40ea-aedd-901bd0241505","year":2019},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.212513Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:4a8b9a96ac625bcb250ac10637038209197ffabd541780ef978d0e8b47f537ee","observation_id":"94f893d6-61ac-48d8-b3f0-0799eb756b6e","resolution":{"observed_at":"2026-08-11T13:54:20.094782Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.07896","last_updated":"2020-09-16T18:57:57Z","snapshot_observed_at":"2026-07-06T09:56:16.122954Z","submitted_at":"2020-09-16T18:57:57Z","title":"Captum: A unified and generic model interpretability library for PyTorch","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.07896","snapshot_observed_at":"2026-08-11T13:54:19.217727Z","title":"Captum: A unified and generic model interpretability li- brary for pytorch","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.217727Z"},"links":{"cited_paper":"/paper/2009.07896","citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:e56905586b5f276ca03ae092d62f06ae29a7815de6819bb461ecb49331d10a80","observation_id":"e19d266c-eaa5-454a-88d2-3f3d0eadbda3","resolution":{"observed_at":"2026-08-11T13:54:19.217727Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.07475","last_updated":"2021-06-08T23:23:42Z","snapshot_observed_at":"2026-08-10T22:50:00.415101Z","submitted_at":"2021-06-08T23:23:42Z","title":"Investigating sanity checks for saliency maps with image and text classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.07475","snapshot_observed_at":"2026-08-11T13:54:19.222813Z","title":"Investi- gating sanity checks for saliency maps with image and text classification","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.222813Z"},"links":{"cited_paper":"/paper/2106.07475","citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:4994e72bc0bc719cda7b1488ad2404b942765ad4c96444605a0eb20940c68a91","observation_id":"cf6c1418-e7d2-471b-a6e1-9fedca1401b6","resolution":{"observed_at":"2026-08-11T13:54:19.222813Z","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":"2026-08-11T13:54:20.065837Z","title":"Shapley residuals: Quantifying the limits of the shapley value for explana- tions","venue":null,"work_id":"d41f52e9-30e2-444a-981a-fe9470ea6001","year":2021},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.228411Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:223b92c8e23538ad1692fb0d16d6418f7fa29ee64cd0b0cad81a61a63d30804a","observation_id":"67774afd-9126-4ccc-9edd-38983d97ee45","resolution":{"observed_at":"2026-08-11T13:54:20.073074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:20.043728Z","title":"Unmasking clever hans predictors and as- sessing what machines really learn","venue":null,"work_id":"b3461d07-5f7b-42a2-a1e4-b5540419a5c2","year":2019},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.234096Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:d578cc303b963aa04d0541ae7c65270a7d84e5da065b383dfa5542d7aa9849be","observation_id":"7365da16-ca38-4599-91df-be12af3fe5e9","resolution":{"observed_at":"2026-08-11T13:54:20.051697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:20.022157Z","title":null,"venue":null,"work_id":"567e13d4-894a-45fa-8bdc-8168a55641c7","year":2017},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.239746Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:2225b8dcac3b401a917ddba0693d350c84a7d24e27f6e6be39a7facc14b0af57","observation_id":"b41b3dcc-a5c1-4f28-9342-b578086fac50","resolution":{"observed_at":"2026-08-11T13:54:20.029321Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:19.998946Z","title":"An experimental study of quantitative evaluations on saliency methods","venue":null,"work_id":"6b000543-eb47-4826-bd15-1fe292e8531e","year":2021},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.245217Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:9d62e2393a546d22edb41a1f14b22aca68261dec36bc3258220c4ddba77a02af","observation_id":"3aa3e430-798d-4954-ac17-217aa66274c3","resolution":{"observed_at":"2026-08-11T13:54:20.007766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:19.978868Z","title":"A unified approach to interpreting model predictions","venue":null,"work_id":"46a2c520-3a40-4dba-ad31-3de6cfe134a4","year":2017},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.250383Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:e840c90d689ff67bc16199ea4f1828b7de9f5469720feb34fa9f31b7563e5195","observation_id":"c9b66550-f1ba-40b0-82d2-2c3a31326a32","resolution":{"observed_at":"2026-08-11T13:54:19.985163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:19.949995Z","title":"Logic-based explainability in ma- chine learning","venue":null,"work_id":"f01f85c5-0263-4bbc-8d14-b8f4bdec8453","year":2022},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.256258Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:c67470d07d2bc14ec5a4983fbf585579569d96102a096d1abc089ed1ef81b06a","observation_id":"35c20877-59f0-43c3-a6d3-a22ef7e9fcd6","resolution":{"observed_at":"2026-08-11T13:54:19.957537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:19.261028Z","title":"Interpretable machine learning","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.261028Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:cfc1eff0bcb2ccb29743c71e6989e283e36cf85298d7fdbbbda87191f65201dc","observation_id":"a56543ed-4454-4495-b989-1067bee5bb28","resolution":{"observed_at":"2026-08-11T13:54:19.261028Z","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":"2026-08-11T13:54:19.911718Z","title":"Meaningful explanations of black box ai decision systems","venue":null,"work_id":"75d2bc94-21a4-44e8-b44c-f4b492dc8391","year":2019},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.266001Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:44bfa5e766ea5dd3dba3cf98d7ba3c95bc889f2a5899e6efad290b4a670b555b","observation_id":"1dcc2a58-af0e-4674-959d-3682acad5e84","resolution":{"observed_at":"2026-08-11T13:54:19.920617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.00950","last_updated":"2021-04-02T09:14:00Z","snapshot_observed_at":"2026-08-09T20:28:17.305240Z","submitted_at":"2021-04-02T09:14:00Z","title":"Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.00950","snapshot_observed_at":"2026-08-11T13:54:19.270545Z","title":"Explainable artificial intelligence (xai) on timeseries data: A survey","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.270545Z"},"links":{"cited_paper":"/paper/2104.00950","citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:8475333741059b3ddd2c4e5de5c53481feef698d8f78bc32a08447e83158de57","observation_id":"2c228447-e58d-488d-975b-9c7d7cf3278f","resolution":{"observed_at":"2026-08-11T13:54:19.270545Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.00449","last_updated":"2022-06-14T11:36:51Z","snapshot_observed_at":"2026-08-06T17:24:25.835151Z","submitted_at":"2022-02-01T15:00:26Z","title":"A Consistent and Efficient Evaluation Strategy for Attribution Methods","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.00449","snapshot_observed_at":"2026-08-11T13:54:19.276034Z","title":"A consistent and efficient evaluation strategy for attribution methods","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.276034Z"},"links":{"cited_paper":"/paper/2202.00449","citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:bdb5acf60f292f86bb69cbc885efc93dabc35f49855dc4040570dda86043d77a","observation_id":"98993b7c-4beb-4900-908f-79f1ae75972f","resolution":{"observed_at":"2026-08-11T13:54:19.276034Z","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":"2026-08-11T13:54:19.888373Z","title":"Evaluating feature attribution: An information-theoretic perspective","venue":null,"work_id":"76d8f041-baa3-4708-a21a-aab1d9d75d21","year":2022},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.281004Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:72dc7251fd1fd50488efdca16ab1e49785c07770514b55d5402ede33c2502b02","observation_id":"acaa1a41-a1b4-42d3-8280-9f61f8a1d3fd","resolution":{"observed_at":"2026-08-11T13:54:19.895379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:19.869239Z","title":"Learning interpretable models","venue":null,"work_id":"b6f1b6a2-5f14-4e6b-8933-bd1f6cc14237","year":2006},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.285459Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:f13dc958c481c52d152227559f3333b3ff91512f50f9e0cff777e27a14e7bce5","observation_id":"4bd93b20-4216-4766-8dea-9ed961a6ecc3","resolution":{"observed_at":"2026-08-11T13:54:19.874565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:19.850490Z","title":"Grad-cam: Visual explanations from deep networks via gradient-based localization","venue":null,"work_id":"bc59a305-8d62-405d-bdab-6071871ac1f7","year":2017},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.290027Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:41cdb58a8fbbdb5ed2c7bca7446cac960ac3772c8a0761f1974143c9c0feb093","observation_id":"77795be6-d8bc-4ffa-b0cd-61a4658bc5d6","resolution":{"observed_at":"2026-08-11T13:54:19.855951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:19.832577Z","title":"Do input gradients highlight discriminative features? Advances in Neural Information Processing Systems, 34:2046–2059, 2021","venue":null,"work_id":"3047e7bf-0107-4d84-a548-97c060e1cf46","year":2021},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.295583Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:22dc5fac24d7e346fcb01163301e33eefd191d4d42470298e57f8bd55a9db994","observation_id":"4e193b61-9c84-4020-a8e4-c0547a93743c","resolution":{"observed_at":"2026-08-11T13:54:19.839222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:19.813564Z","title":"Learning important features through propagating acti- vation differences","venue":null,"work_id":"62cff542-a9f8-41df-9c65-7b87da5919e3","year":2017},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.300759Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:138a2427e7081a55c3a630a8af7f183d54598f6f94be9fc031a3bd508bb10c49","observation_id":"5f63ca6e-5770-4e7c-98f0-a6c97fd07db9","resolution":{"observed_at":"2026-08-11T13:54:19.820205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:19.796768Z","title":"When explanations lie: Why many modified bp attributions fail","venue":null,"work_id":"51aa0301-ddbd-4ea0-999c-076a7b3d815f","year":2020},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.305553Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:2b234442072b4de78da3824d47708125bc83d6eacadf21806e9386b0e59a69e8","observation_id":"e35e2520-6c2c-4b70-a948-9a98ac7cfe8a","resolution":{"observed_at":"2026-08-11T13:54:19.801965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:19.775728Z","title":"Fooling lime and shap: Ad- versarial attacks on post hoc explanation methods","venue":null,"work_id":"c0568b5c-f8d8-4699-9eed-818bf20b1d54","year":2020},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.310532Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:1e0ba1ff32ebdea28ac52266d3e61e83fe782234ea5593be781d91b28d0152c6","observation_id":"7dd47b41-7d2f-403a-b5e5-307c413cd6af","resolution":{"observed_at":"2026-08-11T13:54:19.783684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:19.755929Z","title":"Logical explanations for deep relational machines using relevance information","venue":null,"work_id":"1cc5e941-f89d-475e-b758-f099216c62ca","year":2019},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.315486Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:7d1b38fb3f6381fcf1fee0196f860e7d4c38568f7706a63bdd112a5f716fdf82","observation_id":"b3df460b-8cfe-469c-935c-eb5f5f7aa670","resolution":{"observed_at":"2026-08-11T13:54:19.761474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:19.738370Z","title":"Visu- alizing the impact of feature attribution baselines","venue":null,"work_id":"f113a784-158a-4239-88e6-f3210e94a2de","year":2020},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.320227Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:0ebca8669be9220a435d878cc7b425bad7901be749b0e9f5da0d89f4037989a0","observation_id":"54646a04-c28e-4916-ae53-f09debe3684b","resolution":{"observed_at":"2026-08-11T13:54:19.743842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:19.719001Z","title":"Ax- iomatic attribution for deep networks","venue":null,"work_id":"20b2e29e-b5c7-4ef7-990c-d723b088ca54","year":2017},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.325906Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:f6074e5e80cc1e8ab218382d8b7791f79b986f0e9a50af8daaf615dfe241bc51","observation_id":"0e9a703d-c6bc-45f5-883a-d160c8c8afdb","resolution":{"observed_at":"2026-08-11T13:54:19.726462Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:19.698968Z","title":"Sanity checks for saliency metrics","venue":null,"work_id":"1be02322-e924-4e6f-9379-f86d7f8f9f17","year":2020},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.331524Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:386ef96f4d30123eff08a0fc1447155cc0e36d427a259027c0c8537bb1f9cd58","observation_id":"403309d1-0a9f-4f86-9499-b1759f29bee7","resolution":{"observed_at":"2026-08-11T13:54:19.705034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:19.679404Z","title":"Evaluation of post-hoc xai ap- proaches through synthetic tabular data","venue":null,"work_id":"eef9e3e4-cfc8-4f17-9436-f75ee32b5eb3","year":2020},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.337670Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:72b92257e62ac609187c91f8d9070b314250d31203a231fc6649db781cb0af5e","observation_id":"d408692a-9e8c-434b-a469-a10e6eb4bffb","resolution":{"observed_at":"2026-08-11T13:54:19.685314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:19.342510Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.342510Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:49d0606e8ffca86ca1694225cc3067ef41ef51ba0d7ed2eb04d3c383e264ca29","observation_id":"7842c1c3-d279-4972-aec3-c300975aae2f","resolution":{"observed_at":"2026-08-11T13:54:19.342510Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.07125","last_updated":"2023-05-11T21:47:52Z","snapshot_observed_at":"2026-08-10T18:23:17.881532Z","submitted_at":"2022-02-15T01:43:27Z","title":"Transformers in Time Series: A Survey","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.07125","snapshot_observed_at":"2026-08-11T13:54:19.347981Z","title":"Transformers in time series: A survey","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.347981Z"},"links":{"cited_paper":"/paper/2202.07125","citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:9f6a83ad2c73574442fc0d6011101db44282498e00b7905d3ff404fc96de7e8f","observation_id":"1a8b89a9-84f9-4229-96bb-34a54713d154","resolution":{"observed_at":"2026-08-11T13:54:19.347981Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.09740","last_updated":"2021-05-20T13:36:41Z","snapshot_observed_at":"2026-07-06T11:11:16.357002Z","submitted_at":"2021-05-20T13:36:41Z","title":"Evaluating the Correctness of Explainable AI Algorithms for Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.09740","snapshot_observed_at":"2026-08-11T13:54:19.353207Z","title":"Evaluating the correctness of explainable ai algorithms for classification","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.353207Z"},"links":{"cited_paper":"/paper/2105.09740","citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:743813c75c49ecb984d42b48ccadda25e99a166e60a6b943b6ef13b586cdd3f6","observation_id":"185d5437-3e7e-46e6-a41d-4f77a0c82b82","resolution":{"observed_at":"2026-08-11T13:54:19.353207Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14297","last_updated":"2021-10-27T09:24:26Z","snapshot_observed_at":"2026-08-09T00:25:03.012476Z","submitted_at":"2021-10-27T09:24:26Z","title":"Revisiting Sanity Checks for Saliency Maps","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.14297","snapshot_observed_at":"2026-08-11T13:54:19.358127Z","title":"Revisiting sanity checks for saliency maps","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.358127Z"},"links":{"cited_paper":"/paper/2110.14297","citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:756bbea891285ff14a75f512ddeab1988d4dc802bcb47a3fb00c73d2b995636f","observation_id":"eecf2999-253c-48b8-a5bf-29694cddc812","resolution":{"observed_at":"2026-08-11T13:54:19.358127Z","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":"2026-08-11T13:54:19.650292Z","title":"Visualizing and un- derstanding convolutional networks","venue":null,"work_id":"9c3bc61b-f7e0-43b0-8575-adb57a68bae9","year":2014},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.363106Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:d30c1a01928818f4fc3e3d8dec0c5a6148e35425569ec22e9daf4309c969b9e8","observation_id":"1290e474-8a99-4139-8ad3-e27a980ec2aa","resolution":{"observed_at":"2026-08-11T13:54:19.655834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:54:19.630068Z","title":"A survey on neural network interpretability","venue":null,"work_id":"7cc745a2-1e86-4f13-891c-f77ff231cef9","year":2021},"citing_paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T13:54:19.368008Z"},"links":{"citing_paper":"/paper/2412.16204"},"observation_digest":"sha256:6f060ce6052e1b95a0236e2b20cb6e43ef7e0e58be5085c1e060cfe1e593aaea","observation_id":"1e8e69a2-c1ce-410b-b99e-69150dc7ec5d","resolution":{"observed_at":"2026-08-11T13:54:19.637930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.16204","last_updated":"2024-12-17T08:55:17Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-11T22:55:35.951154Z","submitted_at":"2024-12-17T08:55:17Z","title":"Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":0,"verified_fuzzy":32},"total_outbound_references":50},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2412.16204."}