{"as_of":"2026-08-05T17:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:19e72291ddc3716c739d6e1b8136ce2b975195da611f8ffd29fbf9a50c9a076e","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T06:01:08.931447Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T06:01:08.874253Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T06:01:08.959205Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"cited_work":{"arxiv_id":"2509.04677","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.04677","snapshot_observed_at":"2026-08-05T06:01:08.959205Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","venue":"eess.IV","work_id":"86a94c36-2d45-4079-a0c4-d6ba029c08b8","year":2025},"citing_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T06:01:08.874253Z"},"links":{"cited_paper":"/paper/2509.04677","citing_paper":"/paper/2509.04677"},"observation_digest":"sha256:3b10bd062a119605c6d165f59da4a0c598a9f5c9709ee87beaf477c195955e50","observation_id":"2bce1fa6-d1b8-4539-afcc-eb63f2a1dce5","resolution":{"observed_at":"2026-08-05T06:01:08.965623Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2509.04677/citation-record","integrity":"/paper/2509.04677/integrity","json":"/paper/2509.04677/citation-record.json","paper":"/paper/2509.04677"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"cited_work":{"arxiv_id":"2509.04677","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.04677","snapshot_observed_at":"2026-08-05T06:01:08.959205Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","venue":"eess.IV","work_id":"86a94c36-2d45-4079-a0c4-d6ba029c08b8","year":2025},"citing_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T06:01:08.874253Z"},"links":{"cited_paper":"/paper/2509.04677","citing_paper":"/paper/2509.04677"},"observation_digest":"sha256:3b10bd062a119605c6d165f59da4a0c598a9f5c9709ee87beaf477c195955e50","observation_id":"2bce1fa6-d1b8-4539-afcc-eb63f2a1dce5","resolution":{"observed_at":"2026-08-05T06:01:08.965623Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-05T06:01:09.126485Z","title":"We first produce a row and column correlation graph using the method in [5, 6]","venue":null,"work_id":"583af594-5e74-4ea1-844f-a332c5900362","year":null},"citing_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T06:01:08.878865Z"},"links":{"citing_paper":"/paper/2509.04677"},"observation_digest":"sha256:cb91e5a58221a0ab2d6d4b8bbf55ec91401f4996084f9e5946ddd05cec0ef7f8","observation_id":"9fc03acf-2976-4ef8-af1b-d2e52086512a","resolution":{"observed_at":"2026-08-05T06:01:09.129887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-05T06:01:09.106144Z","title":"Both datasets have 70,000 images with 60,000 im- ages for training and 10,000 for testing","venue":null,"work_id":"e1556c97-d447-493f-8065-585abde4442e","year":null},"citing_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T06:01:08.886065Z"},"links":{"citing_paper":"/paper/2509.04677"},"observation_digest":"sha256:bdf23f64a4fede2c5512f00190ac25927d18cf937cd3d6e0cba1ffee37f3ff1d","observation_id":"760c4f51-db45-4005-85f0-1eceba00d42a","resolution":{"observed_at":"2026-08-05T06:01:09.109908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-05T06:01:09.096495Z","title":null,"venue":null,"work_id":"d1913106-64bd-4121-b790-8803e20e8f89","year":null},"citing_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T06:01:08.889706Z"},"links":{"citing_paper":"/paper/2509.04677"},"observation_digest":"sha256:4c431c21ed9e467220abd3d3b24a014ebe770823da2d733d308aa44fd4311c74","observation_id":"e5da0ad2-ceca-4824-beea-71ac00fc8fbe","resolution":{"observed_at":"2026-08-05T06:01:09.100064Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-05T06:01:09.086758Z","title":"We achieve this by inferring the underlying graph for im- ages using the correlation method in [5, 6]","venue":null,"work_id":"06aa2cda-ab9c-46be-a3c1-d2ca9549a667","year":null},"citing_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T06:01:08.893262Z"},"links":{"citing_paper":"/paper/2509.04677"},"observation_digest":"sha256:58fbfe591b939cc42e4db3b0bf545fab8e6517ad377272d2e201610e920f7a1d","observation_id":"d480316e-b04b-4a8e-8c60-2ea5f95024b0","resolution":{"observed_at":"2026-08-05T06:01:09.090379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-05T06:01:09.116792Z","title":null,"venue":null,"work_id":"c5952af6-821c-4e45-9201-278a16003d73","year":null},"citing_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T06:01:08.882718Z"},"links":{"citing_paper":"/paper/2509.04677"},"observation_digest":"sha256:8759a714894782ca83aec65fd7841f121f5afa56eac7ce991daf2e45eedf6048","observation_id":"deead37f-9b20-4b19-a391-f518402a0dfd","resolution":{"observed_at":"2026-08-05T06:01:09.120242Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-05T06:01:09.077492Z","title":"Semi-supervised classi- fication with graph convolutional networks,","venue":null,"work_id":"c96dad0f-cbad-440e-a6ad-9b354f67841a","year":2017},"citing_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T06:01:08.896769Z"},"links":{"citing_paper":"/paper/2509.04677"},"observation_digest":"sha256:9dcca719b9886078e055cee07f4ec9b92607c6718a3d204b6626989cb81a38cd","observation_id":"686c802f-e02d-4f0c-b462-92c529620d1d","resolution":{"observed_at":"2026-08-05T06:01:09.080774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-05T06:01:09.067787Z","title":"Topology adaptive graph convolutional networks,","venue":null,"work_id":"f858c8c7-976b-460e-9d9b-029b8e596630","year":2017},"citing_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T06:01:08.899957Z"},"links":{"citing_paper":"/paper/2509.04677"},"observation_digest":"sha256:c17e26d4ab0f991ea9ea67be7d93d12e41523f06bca81ba23ed4955ea0957b6d","observation_id":"9e3d06d3-a0f1-426c-b058-4c59732c9d30","resolution":{"observed_at":"2026-08-05T06:01:09.071213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-05T06:01:09.057810Z","title":"Graph attention networks,","venue":null,"work_id":"d2b6b112-727c-4dee-865f-7c81680624a1","year":2018},"citing_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T06:01:08.903382Z"},"links":{"citing_paper":"/paper/2509.04677"},"observation_digest":"sha256:009c4352494a7a625522545c67315ad1653e98ee4031b152aee8b9d40bfd11f5","observation_id":"240d8c0c-13f8-4724-a140-f42d4106b792","resolution":{"observed_at":"2026-08-05T06:01:09.061188Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-05T06:01:09.048131Z","title":"Can classic gnns be strong baselines for graph-level tasks? simple architectures meet excellence,","venue":null,"work_id":"aeb056f3-82da-4b78-a3f9-af14357179eb","year":2025},"citing_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T06:01:08.906672Z"},"links":{"citing_paper":"/paper/2509.04677"},"observation_digest":"sha256:f37037ce36150e3b77d546bf6eafd7f1d45f567e126d3b26ade97c1e5b8c1d4c","observation_id":"3c5461fa-65cb-475c-9473-5e3a4a8aef88","resolution":{"observed_at":"2026-08-05T06:01:09.051642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-05T06:01:09.038434Z","title":"Learning the causal structure of networked dynam- ical systems under latent nodes and structured noise,","venue":null,"work_id":"91166483-027f-48cb-94bb-a58b5438d329","year":2024},"citing_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T06:01:08.910283Z"},"links":{"citing_paper":"/paper/2509.04677"},"observation_digest":"sha256:684d83e13533e2625c05ff269e1da20c908fcbbc1ac8d9574447d32c981329bb","observation_id":"956b1cf0-5de1-4388-b02b-b985eada402f","resolution":{"observed_at":"2026-08-05T06:01:09.041670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-05T06:01:09.028178Z","title":"Inferring the graph of networked dynamical sys- tems under partial observability and spatially colored noise,","venue":null,"work_id":"1886ff81-6018-4fd9-9a52-71ba863a9ebe","year":2024},"citing_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T06:01:08.914413Z"},"links":{"citing_paper":"/paper/2509.04677"},"observation_digest":"sha256:57d2b822e11a7e14053e7348a8be9e8e43d708ac34028689af2f807297f29514","observation_id":"ef55a910-2c90-4a33-8773-891772784d37","resolution":{"observed_at":"2026-08-05T06:01:09.031696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-05T06:01:09.016913Z","title":"Graph convolutional networks for image classification: Comparing approaches for building graphs from images,","venue":null,"work_id":"b573b805-9567-4a9b-b317-3fa4c572c950","year":2024},"citing_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T06:01:08.917982Z"},"links":{"citing_paper":"/paper/2509.04677"},"observation_digest":"sha256:b024db25894fb041fcc8056b26eca15f26e952091d32cb1fafcf9440e3bb32b6","observation_id":"176d46a3-5e0a-4e5c-ad0c-835149260990","resolution":{"observed_at":"2026-08-05T06:01:09.020950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-05T06:01:09.006427Z","title":"Slic superpixels,","venue":null,"work_id":"6eee897c-f62b-4958-823a-3a373ceb628c","year":2010},"citing_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T06:01:08.921688Z"},"links":{"citing_paper":"/paper/2509.04677"},"observation_digest":"sha256:0d0d573ca93f834d93d7d1357c965d5613f30dfdf4179bcd26ca0ebf681bc88f","observation_id":"bc9bbf99-5067-4254-8aed-360184238656","resolution":{"observed_at":"2026-08-05T06:01:09.009880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-05T06:01:08.995632Z","title":"Discrete signal processing on graphs,","venue":null,"work_id":"15a3125e-7f8a-4dcd-b74a-a28dfa9291d1","year":2013},"citing_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T06:01:08.924797Z"},"links":{"citing_paper":"/paper/2509.04677"},"observation_digest":"sha256:7eb3e0fedd9679343f261c43b4afdad77a6d8b905e069c670479240f9279583f","observation_id":"5b323619-d3c3-4fc8-96d2-1616bee83bda","resolution":{"observed_at":"2026-08-05T06:01:08.999314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-05T06:01:08.984172Z","title":"Graph signal processing: Overview, challenges, and applications,","venue":null,"work_id":"6e29e415-459a-424a-979d-c57a820ff801","year":2018},"citing_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T06:01:08.928166Z"},"links":{"citing_paper":"/paper/2509.04677"},"observation_digest":"sha256:12e748c61a4d15dd21ccba7467ffb7c3be7760b83a728ff62d802588e01167c2","observation_id":"a577d13d-3e68-466a-8c26-3e32494b31b5","resolution":{"observed_at":"2026-08-05T06:01:08.988072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-05T06:01:08.973267Z","title":"Graph signal processing: The 2d companion model,","venue":null,"work_id":"e94c19de-3210-4217-8ede-70baf5a06845","year":2024},"citing_paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T06:01:08.931447Z"},"links":{"citing_paper":"/paper/2509.04677"},"observation_digest":"sha256:5b0bb48d371ea25afe0e523635fc020728bb8758125da7a16bb10a09f6927de8","observation_id":"6f509ea7-b924-452e-b9f2-9b36dc30ffcd","resolution":{"observed_at":"2026-08-05T06:01:08.976781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.04677","last_updated":"2025-09-04T21:41:59Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-05T06:01:08.562929Z","submitted_at":"2025-09-04T21:41:59Z","title":"Inferring the Graph Structure of Images for Graph Neural Networks"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":14},"total_outbound_references":17},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2509.04677."}