{"as_of":"2026-08-10T13:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f0046bb187458f10433774711b5363e8c7988c966d6ed05c717c2d4a690d627a","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:44:09.566023Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T20:58:58.594253Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1908.01224","last_updated":"2019-08-03T20:09:40Z","snapshot_observed_at":"2026-08-05T15:56:21.095271Z","submitted_at":"2019-08-03T20:09:40Z","title":"Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.01224","snapshot_observed_at":"2026-08-07T13:44:09.566023Z","title":"arXiv preprint arXiv:1908.01224","venue":null,"work_id":null,"year":1908},"citing_paper":{"arxiv_id":"2505.21106","last_updated":"2025-05-27T12:28:44Z","snapshot_observed_at":"2026-08-08T00:46:30.516439Z","submitted_at":"2025-05-27T12:28:44Z","title":"Interpreting Social Bias in LVLMs via Information Flow Analysis and Multi-Round Dialogue Evaluation","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T13:44:09.566023Z"},"links":{"cited_paper":"/paper/1908.01224","citing_paper":"/paper/2505.21106"},"observation_digest":"sha256:a38cc650bd7415e88420a9662ee7d0ed7ee71f4f20f6c8c8f88ab0736d7aa38e","observation_id":"3b31227c-8b8f-44c7-b931-2dd8acb3a7d8","resolution":{"observed_at":"2026-08-07T13:44:09.566023Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.01224","last_updated":"2019-08-03T20:09:40Z","snapshot_observed_at":"2026-08-05T15:56:21.095271Z","submitted_at":"2019-08-03T20:09:40Z","title":"Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.01224","snapshot_observed_at":"2026-08-06T23:11:17.502919Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.19442","last_updated":"2025-06-25T11:18:04Z","snapshot_observed_at":"2026-08-06T23:04:23.048265Z","submitted_at":"2025-06-24T09:15:22Z","title":"Sampling Matters in Explanations: Towards Trustworthy Attribution Analysis Building Block in Visual Models through Maximizing Explanation Certainty","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T23:11:17.502919Z"},"links":{"cited_paper":"/paper/1908.01224","citing_paper":"/paper/2506.19442"},"observation_digest":"sha256:bede62ebc174e94260f2efd73b27c9c16a068a64a5ce171a4b0ae5eb117f39ac","observation_id":"6f82bc88-9ead-41ea-a0c3-fec062fd9d3c","resolution":{"observed_at":"2026-08-06T23:11:17.502919Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.01224","last_updated":"2019-08-03T20:09:40Z","snapshot_observed_at":"2026-08-05T15:56:21.095271Z","submitted_at":"2019-08-03T20:09:40Z","title":"Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.01224","snapshot_observed_at":"2026-08-06T21:52:25.702588Z","title":"Smooth grad-cam++: An en- hanced inference level visualization technique for deep convolutional neural network models","venue":null,"work_id":null,"year":1908},"citing_paper":{"arxiv_id":"2506.23270","last_updated":"2025-06-29T14:50:45Z","snapshot_observed_at":"2026-08-06T21:45:06.908819Z","submitted_at":"2025-06-29T14:50:45Z","title":"Token Activation Map to Visually Explain Multimodal LLMs","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T21:52:25.702588Z"},"links":{"cited_paper":"/paper/1908.01224","citing_paper":"/paper/2506.23270"},"observation_digest":"sha256:7a8a56a075dcf71b7e1c0167a1c307e6e07dda3e63de58e743e432d7416c4cda","observation_id":"01780bf3-78f0-4ac8-b323-3af92010a72c","resolution":{"observed_at":"2026-08-06T21:52:25.702588Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.01224","last_updated":"2019-08-03T20:09:40Z","snapshot_observed_at":"2026-08-05T15:56:21.095271Z","submitted_at":"2019-08-03T20:09:40Z","title":"Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.01224","snapshot_observed_at":"2026-08-06T21:46:34.979687Z","title":"arXiv preprint arXiv:1908.01224 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.23460","last_updated":"2025-06-30T01:43:50Z","snapshot_observed_at":"2026-08-09T05:20:11.810423Z","submitted_at":"2025-06-30T01:43:50Z","title":"Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:34.979687Z"},"links":{"cited_paper":"/paper/1908.01224","citing_paper":"/paper/2506.23460"},"observation_digest":"sha256:4bdc9d7de8d4c82bcae15cda6fef2f0f4c2c5a16720eeedd286b663fc008fbd6","observation_id":"e8f0bead-bc2b-49d7-8926-7f24536c0bfc","resolution":{"observed_at":"2026-08-06T21:46:34.979687Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.01224","last_updated":"2019-08-03T20:09:40Z","snapshot_observed_at":"2026-08-05T15:56:21.095271Z","submitted_at":"2019-08-03T20:09:40Z","title":"Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.01224","snapshot_observed_at":"2026-08-06T19:01:15.390786Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.07148","last_updated":"2025-07-09T08:42:14Z","snapshot_observed_at":"2026-08-09T07:24:18.637353Z","submitted_at":"2025-07-09T08:42:14Z","title":"Explainable Artificial Intelligence in Biomedical Image Analysis: A Comprehensive Survey","version":1},"reference_index":162,"source":"pdf_text","source_observed_at":"2026-08-06T19:01:15.390786Z"},"links":{"cited_paper":"/paper/1908.01224","citing_paper":"/paper/2507.07148"},"observation_digest":"sha256:aca6d185f1fdc59500b60ba9b06fd2261bb5a7b7e04e8c2fc989f88e698aef3e","observation_id":"c26105b9-c5db-4490-84d8-8f578da1c67c","resolution":{"observed_at":"2026-08-06T19:01:15.390786Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.01224","last_updated":"2019-08-03T20:09:40Z","snapshot_observed_at":"2026-08-05T15:56:21.095271Z","submitted_at":"2019-08-03T20:09:40Z","title":"Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models","version":1},"cited_work":{"arxiv_id":"1908.01224","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1908.01224","snapshot_observed_at":"2026-07-03T20:58:58.594253Z","title":"Smooth grad- cam++: An enhanced inference level visualization technique for deep convolutional neural network models","venue":null,"work_id":"eabde499-fad8-4ea6-8ba6-b812ec9dc0c5","year":1908},"citing_paper":{"arxiv_id":"2507.14787","last_updated":"2026-04-25T07:16:50Z","snapshot_observed_at":"2026-08-02T09:27:54.026907Z","submitted_at":"2025-07-20T02:08:23Z","title":"FOCUS: Fused Observation of Channels for Unveiling Spectra","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-19T03:51:41.228126Z"},"links":{"cited_paper":"/paper/1908.01224","citing_paper":"/paper/2507.14787"},"observation_digest":"sha256:3153ef847d5daf7aa8c6d9fc36d95e76d8478db57e53e700b71f846082ef6d80","observation_id":"f63e7788-aefe-4a9a-8055-5a0cd2514ff0","resolution":{"observed_at":"2026-05-19T03:52:01.458886Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.01224","last_updated":"2019-08-03T20:09:40Z","snapshot_observed_at":"2026-08-05T15:56:21.095271Z","submitted_at":"2019-08-03T20:09:40Z","title":"Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models","version":1},"cited_work":{"arxiv_id":"1908.01224","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1908.01224","snapshot_observed_at":"2026-07-03T20:58:58.594253Z","title":"Smooth grad- cam++: An enhanced inference level visualization technique for deep convolutional neural network models","venue":null,"work_id":"eabde499-fad8-4ea6-8ba6-b812ec9dc0c5","year":1908},"citing_paper":{"arxiv_id":"2605.02007","last_updated":"2026-05-03T18:28:12Z","snapshot_observed_at":"2026-08-02T11:33:42.128254Z","submitted_at":"2026-05-03T18:28:12Z","title":"How Can One Choose the Best CAM-Based Explainability Method for a CNN Model?","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-09T17:27:38.932949Z"},"links":{"cited_paper":"/paper/1908.01224","citing_paper":"/paper/2605.02007"},"observation_digest":"sha256:c968fd508d13f8f95c5e4de78a733f76b6d886dba25001b338d5c4a0f3ef4cff","observation_id":"948b4f40-d6bc-43c9-bf7d-8a132b4a1d6f","resolution":{"observed_at":"2026-05-11T16:21:06.991708Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.01224","last_updated":"2019-08-03T20:09:40Z","snapshot_observed_at":"2026-08-05T15:56:21.095271Z","submitted_at":"2019-08-03T20:09:40Z","title":"Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models","version":1},"cited_work":{"arxiv_id":"1908.01224","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1908.01224","snapshot_observed_at":"2026-07-03T20:58:58.594253Z","title":"Smooth grad- cam++: An enhanced inference level visualization technique for deep convolutional neural network models","venue":null,"work_id":"eabde499-fad8-4ea6-8ba6-b812ec9dc0c5","year":1908},"citing_paper":{"arxiv_id":"2605.16905","last_updated":"2026-05-16T09:36:58Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:36:58Z","title":"AIM: Adversarial Information Masking for Faithfulness Evaluation of Saliency Maps","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-19T20:24:19.446451Z"},"links":{"cited_paper":"/paper/1908.01224","citing_paper":"/paper/2605.16905"},"observation_digest":"sha256:17786e912a91e7e02091be3e0f5e3aebb171c426585aea1f2bb102218ca5f9bf","observation_id":"5111315c-6458-4e01-aa62-c8f4d685b56e","resolution":{"observed_at":"2026-05-19T20:27:54.137580Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.01224","last_updated":"2019-08-03T20:09:40Z","snapshot_observed_at":"2026-08-05T15:56:21.095271Z","submitted_at":"2019-08-03T20:09:40Z","title":"Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models","version":1},"cited_work":{"arxiv_id":"1908.01224","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1908.01224","snapshot_observed_at":"2026-07-03T20:58:58.594253Z","title":"Smooth grad- cam++: An enhanced inference level visualization technique for deep convolutional neural network models","venue":null,"work_id":"eabde499-fad8-4ea6-8ba6-b812ec9dc0c5","year":1908},"citing_paper":{"arxiv_id":"2606.07451","last_updated":"2026-06-05T16:54:40Z","snapshot_observed_at":"2026-07-06T23:47:05.104295Z","submitted_at":"2026-06-05T16:54:40Z","title":"TEVI: Text-Conditioned Editing of Visual Representations via Sparse Autoencoders for Improved Vision-Language Alignment","version":1},"reference_index":165,"source":"arxiv_source","source_observed_at":"2026-06-27T22:22:01.979434Z"},"links":{"cited_paper":"/paper/1908.01224","citing_paper":"/paper/2606.07451"},"observation_digest":"sha256:f1594f801f41bb5040e27b167071d1f81c0e56c66f8babb19d11993e2adbf49c","observation_id":"721ac475-e2a9-484e-ac90-abf3064d01fe","resolution":{"observed_at":"2026-07-02T16:47:10.085348Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.01224","last_updated":"2019-08-03T20:09:40Z","snapshot_observed_at":"2026-08-05T15:56:21.095271Z","submitted_at":"2019-08-03T20:09:40Z","title":"Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models","version":1},"cited_work":{"arxiv_id":"1908.01224","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1908.01224","snapshot_observed_at":"2026-07-03T20:58:58.594253Z","title":"Smooth grad- cam++: An enhanced inference level visualization technique for deep convolutional neural network models","venue":null,"work_id":"eabde499-fad8-4ea6-8ba6-b812ec9dc0c5","year":1908},"citing_paper":{"arxiv_id":"2606.18008","last_updated":"2026-06-16T14:53:30Z","snapshot_observed_at":"2026-08-07T06:46:48.120223Z","submitted_at":"2026-06-16T14:53:30Z","title":"PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-06-27T00:57:24.855665Z"},"links":{"cited_paper":"/paper/1908.01224","citing_paper":"/paper/2606.18008"},"observation_digest":"sha256:60fccbc99e72791a34b9c2fb216dceb22b0fdff1d2436a3ffbe0b1d4b3ec6ff5","observation_id":"2d188a61-9112-4337-918c-766f02cc8a87","resolution":{"observed_at":"2026-07-03T20:58:58.595847Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1908.01224/citation-record","integrity":"/paper/1908.01224/integrity","json":"/paper/1908.01224/citation-record.json","paper":"/paper/1908.01224"},"outbound":[],"paper":{"arxiv_id":"1908.01224","last_updated":"2019-08-03T20:09:40Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T15:56:21.095271Z","submitted_at":"2019-08-03T20:09:40Z","title":"Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1908.01224."}