{"as_of":"2026-08-08T10:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e6733fe16146720ba8ea00d216f7def1ef23a10c158a7fe733dffcc1e62c58d2","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:35:34.053534Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2505.24642/citation-record","integrity":"/paper/2505.24642/integrity","json":"/paper/2505.24642/citation-record.json","paper":"/paper/2505.24642"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:41.371872Z","title":"Global explainability of GNNs via logic combination of learned concepts","venue":null,"work_id":"c3cc21cd-8c2e-445e-b462-8cb8319a1f49","year":2023},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:30.912334Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:00735f184597db42bbba353a86aaded1539daae3bc5da1f4761aef1095ed825b","observation_id":"c0c5ae15-0498-43ff-b142-55640bfd3b2c","resolution":{"observed_at":"2026-08-07T12:35:41.513311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:41.161443Z","title":"Fine-grained expressivity of graph neural networks","venue":null,"work_id":"fc92f31f-54c7-4478-b0d9-e363f3429a0e","year":2024},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:30.976370Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:5900148cc124a702d3296009f722df45c2a6b5fb66ab8a5b441808cfd74079fd","observation_id":"654c9934-81da-4696-bdc1-0ecc4fc9c4f9","resolution":{"observed_at":"2026-08-07T12:35:41.258419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:40.842966Z","title":"An optimal lower bound on the number of variables for graph identification","venue":null,"work_id":"d56d79c2-472c-411b-b7f3-737f4eeba972","year":1992},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.063569Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:a8abcee2c571059d723c423e99ca7e54fd42e6b510b89ab1b16938ed346b99c2","observation_id":"4e0ae1d4-9435-4b6d-8500-cb70ede9b9af","resolution":{"observed_at":"2026-08-07T12:35:41.016681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:40.499987Z","title":"and Jegelka, S","venue":null,"work_id":"31e3da79-23d5-4b1a-9797-bcd5899abc3a","year":2022},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.132484Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:482dd102187f57f88d57df7576bdc224758055a497ddd1f1dbcd987acc63fd23","observation_id":"49570e99-d45d-4246-9275-b3dec8f0aa07","resolution":{"observed_at":"2026-08-07T12:35:40.639690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:40.170644Z","title":"J., Morris, C., Velingker, A., and Geerts, F","venue":null,"work_id":"1e2b19a8-8160-4a56-91be-771c3b2df334","year":2024},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.215978Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:135aec7aa72b617b22d99c0400f6133a857462aff29d94d19d851dd22a65d005","observation_id":"ba590ecb-05ab-4b35-be77-07cfe955014b","resolution":{"observed_at":"2026-08-07T12:35:40.351572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:39.930393Z","title":"M., and Maron, H","venue":null,"work_id":"b1108b1c-101b-41cb-be37-a52a84b426e2","year":2022},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.300105Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:be871e4978386b2cff76ec6a26ee933ae77b1e2bef48069f4b0a073160eae1a2","observation_id":"7c6519ce-47c1-4775-ae55-3e13424ead14","resolution":{"observed_at":"2026-08-07T12:35:40.028774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:39.723855Z","title":"and Reutter, J","venue":null,"work_id":"3ed23e50-4d8b-4a5b-92c6-0a7e05d88232","year":2022},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.362416Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:a0884cf71f250ecd3fb62067b9e74af043771ed583092b71bf3ad65904fc433e","observation_id":"2247908c-39e9-4de5-acc1-4461d1bf9681","resolution":{"observed_at":"2026-08-07T12:35:39.845323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:39.539924Z","title":"S., Riley, P","venue":null,"work_id":"7047348e-8be9-4c5b-a3e4-fdee65259507","year":2017},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.446982Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:57e19d67692a29c6378c7f8e2c6321c9eb7a94287b93a243f0655021b3aba932","observation_id":"fd4a6085-9780-48cb-ba72-340c695eca49","resolution":{"observed_at":"2026-08-07T12:35:39.652434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:39.363887Z","title":"Expressiveness and approximation properties of graph neural network","venue":null,"work_id":"10123f45-adf5-4994-adb4-0487102fb5ff","year":2024},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.544834Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:74170bf9a237e51da07d6eed676d9e090a554b13b0a8d434f15412cd252d78ed","observation_id":"956c208c-85ee-44bd-aaf4-8ca91830c9fc","resolution":{"observed_at":"2026-08-07T12:35:39.456039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:39.212524Z","title":"Derivation and validation of toxicophores for mutagenicity prediction","venue":null,"work_id":"21e4eb99-29ab-46bc-9cde-a0a66d1e8915","year":2005},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.621929Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:b38c2f1828bdd38c153315bdfd9c7345a8f5d6c105766f201483e48dd342eff5","observation_id":"3c7ef4da-29dd-4b5a-a886-ca461499d6d7","resolution":{"observed_at":"2026-08-07T12:35:39.280536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:31.673001Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.673001Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:d49cbda8bdd8b7a4ec8d6334756977cc77bd66982a0b7d8c828562ac0d31f03a","observation_id":"5341d07a-8161-4a44-aff3-bbd45c173fe5","resolution":{"observed_at":"2026-08-07T12:35:31.673001Z","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":"2026-08-07T12:35:39.051673Z","title":"A neural collapse perspective on feature evolution in graph neural networks","venue":null,"work_id":"c841eedd-f9b7-4433-a544-2ce300265b92","year":2023},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.753719Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:27655a25b3e6873b7f6336f2ea7dfa7b0662d526b7fa74fde5904afa59082588","observation_id":"ce9404ae-89a4-4e59-b560-4e17457e01d9","resolution":{"observed_at":"2026-08-07T12:35:39.122954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:38.906095Z","title":"M., Giscard, P., and Wilson, R","venue":null,"work_id":"2c6f38f0-e8f8-4844-8de0-92330caea02b","year":2016},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.894554Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:bcb08f6de255c0352c3ecd87c691e6c18c5be126d3a69afaccbc6c1bd58e51c5","observation_id":"b80e1763-b48c-46a7-a683-7f5aaa318704","resolution":{"observed_at":"2026-08-07T12:35:38.976367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:38.723005Z","title":"M., Johansson, F","venue":null,"work_id":"b4de0ba4-f0ae-4785-a2fa-168dcd6f8d84","year":2020},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.015617Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:f24acb50ca412dafbaba83c0bcf490e479616506406c6db485a4dbf5ca0dc8ae","observation_id":"8325b85f-2cbd-4be0-bf2b-4a211820ed08","resolution":{"observed_at":"2026-08-07T12:35:38.787788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.12654","last_updated":"2024-05-21T10:07:29Z","snapshot_observed_at":"2026-08-08T00:07:55.559549Z","submitted_at":"2024-05-21T10:07:29Z","title":"Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks","version":1},"cited_work":{"arxiv_id":"2405.12654","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.12654","snapshot_observed_at":"2026-08-07T12:35:34.157692Z","title":"Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks","venue":"cs.AI","work_id":"fbb788d2-220c-4a31-82cc-6fe2f3a43c2d","year":2024},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.130939Z"},"links":{"cited_paper":"/paper/2405.12654","citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:b2bc5cedce46a3a18295f5011784178284a95ab8fe0b31bfd943d7258d72f6ac","observation_id":"dcac2847-7d62-4d8e-b50c-b9a6c8b4bbe2","resolution":{"observed_at":"2026-08-07T12:35:34.252844Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:38.474229Z","title":"Tree-sliced variants of Wasserstein distances","venue":null,"work_id":"b98e5a8b-7a96-48b5-83aa-8f667b6c4e33","year":2019},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.259054Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:1b3391a2cea4f93389f9d224020573399d20e6a43bd58454158e2e07340ec671","observation_id":"a1b299c8-02ec-4bc1-944b-c4b192328103","resolution":{"observed_at":"2026-08-07T12:35:38.631021Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:38.330774Z","title":"and Leskovec, J","venue":null,"work_id":"2bd1cf38-a857-4ba0-88df-60fa1b923a5c","year":2022},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.331868Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:245feb138b904cb2e8466e50a6749d3db85c12de6dff45da53e8e2fb3da1f8c9","observation_id":"a489515b-e112-49c2-9638-fb2542491da9","resolution":{"observed_at":"2026-08-07T12:35:38.399358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:38.144076Z","title":"Interpretability in graph neural networks","venue":null,"work_id":"f0e02f77-0604-424b-9c49-f2a44b22f3df","year":2022},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.435372Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:607acb061e73380a9209fa7c16fd70c51374e143bd9363735bec03e5d352705b","observation_id":"5da07940-dc1a-42b9-959c-b8c692bae8b3","resolution":{"observed_at":"2026-08-07T12:35:38.233115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:37.932899Z","title":"Exploring consistency in graph representations: from graph kernels to graph neural networks","venue":null,"work_id":"d93674c1-f189-4262-8327-ca8a534164a7","year":2024},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.531102Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:27f0ece1b5d9fbf7d228e904cfeef25e98210a2d65b670ecdc4ac2fca519c7da","observation_id":"b199eed7-f491-4a27-9fe4-5d2c3cb3d175","resolution":{"observed_at":"2026-08-07T12:35:38.025645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:37.727428Z","title":null,"venue":null,"work_id":"e54be108-806c-4358-864e-63f259b0daaa","year":2022},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.627538Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:03d24c7c335372d34ba1edff0a6565f1f8bdff2bdc509484e751756f96dcb2fa","observation_id":"9c4410a7-2e78-4f8b-a50b-3e117470ee84","resolution":{"observed_at":"2026-08-07T12:35:37.815284Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:37.565086Z","title":"Provably powerful graph networks","venue":null,"work_id":"b7d58f37-e94e-4242-a084-035af4da3e2b","year":2019},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.733373Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:48f5d8830377f744766d1d8e9ffbcd08dd895cbe33d1156f789a262a58c0d961","observation_id":"381865a2-7138-4a5e-82b2-9ba5537d14d7","resolution":{"observed_at":"2026-08-07T12:35:37.631720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:37.353028Z","title":"L., Lenssen, J","venue":null,"work_id":"556afcc1-4fcc-43ee-bcec-eb622422f724","year":2019},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.804451Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:b17a046c3061b6f3bc7dc288f5b94bd9c7483cb50876a6d0989a0e68915d2b25","observation_id":"11e39170-1208-4311-aed3-43d8d717e7bf","resolution":{"observed_at":"2026-08-07T12:35:37.466217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:37.204787Z","title":"M., Bause, F., Kersting, K., Mutzel, P., and Neumann, M","venue":null,"work_id":"261013f9-e1a2-47b5-b8df-81067aa48f57","year":2020},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.877966Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:48700faad25a720fbad9c2fd4b32dbb6804ab0b58193cadb83fda07f05383db6","observation_id":"f197dc42-81a6-4a7c-8a34-0bd3a8763e22","resolution":{"observed_at":"2026-08-07T12:35:37.274581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:37.013814Z","title":"M., Grohe, M., Fey, M., and Borgwardt, K","venue":null,"work_id":"13652a1e-7bb1-4da1-9540-7fb60d265e37","year":2023},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.951428Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:ab7f88bd298334fa11de1176423a83162245500b63c97377d6ce383fc249d3ce","observation_id":"8b3d0703-1cb0-48e4-8cfc-5bc8b36ae692","resolution":{"observed_at":"2026-08-07T12:35:37.110961Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:36.828213Z","title":"\\.I ., Levie, R., Lim, D., Bronstein, M","venue":null,"work_id":"55dcd5ab-64f0-426f-b024-b83dfd5f2011","year":2024},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.032831Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:a593e1155f2a683a77ecf671846c348d8ebcfe2943d2b51e6d39f4f8bdee9d8c","observation_id":"b480b08e-596a-4743-929a-88581e9f9f08","resolution":{"observed_at":"2026-08-07T12:35:36.913210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:36.604288Z","title":"GraphChef : Decision-tree recipes to explain graph neural networks","venue":null,"work_id":"de5a2ed3-3797-449a-aedf-d2e0b2b64f71","year":2024},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.100225Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:f0b14956d95a0fbbdcddccafcad0e1ea16a823b63d45ad97ac2bf24304fa2687","observation_id":"091b4df2-e4c2-4688-a755-f2179f5699e2","resolution":{"observed_at":"2026-08-07T12:35:36.670623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:36.380194Z","title":"Logical distillation of graph neural networks","venue":null,"work_id":"db77fb8d-81a9-4127-92ed-30d2cd444b59","year":2024},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.188021Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:7309f96bc8d0f181601518b5220395c06b0de7a47c156f9abec3714745054036","observation_id":"c804f682-0090-4a54-ae04-69dd28c7f9b4","resolution":{"observed_at":"2026-08-07T12:35:36.486426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:36.121127Z","title":"and Fu, K","venue":null,"work_id":"907a7988-dd4a-4edc-ae8e-0a395f10a824","year":1983},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.297000Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:3fbab18126e0ca9abf0ebed6121b55ffa61636d8618d94e384f8fe68be28e42f","observation_id":"da3b23a5-ecd8-4941-b744-2365fc3b25c2","resolution":{"observed_at":"2026-08-07T12:35:36.310014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:35.751631Z","title":"Wasserstein Weisfeiler-Lehman graph kernels","venue":null,"work_id":"0e48eb5a-a12f-42e8-acca-a4e7cd828e54","year":2019},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.363377Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:d5935bbbdf527321c9b5939d01cc8328fbbe78c3be3245417776355a0fe8bcfb","observation_id":"dea9dff8-9295-404b-8004-fea2ef5ba0b3","resolution":{"observed_at":"2026-08-07T12:35:35.926524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:35.348269Z","title":"Optimal transport: old and new, volume 338 of Grundlehren der mathematischen Wissenschaften","venue":null,"work_id":"0a71d25f-652b-498f-91cc-4b9a25117af0","year":2009},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.424511Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:5efdb0ce68077b24a54cf86a63e46fb3adf4e24b8c78e621f7830d7085b4527b","observation_id":"0b695a90-abf2-45dc-99e8-2f6392b98eca","resolution":{"observed_at":"2026-08-07T12:35:35.501815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:35.023393Z","title":"N., Gomes, J., Geniesse, C., Pappu, A","venue":null,"work_id":"417bf159-ecc5-4d08-8214-cfb3e455bb8d","year":2018},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.482666Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:d7d335788e2febe3905c0e2a5f8cddfa4f944c8634026cbdeab99b5bcc2fe2e3","observation_id":"fb0f3440-31ca-4ac2-ade2-a573abc47b55","resolution":{"observed_at":"2026-08-07T12:35:35.169800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:34.735165Z","title":"How powerful are graph neural networks? In International Conference on Learning Representations, 2019","venue":null,"work_id":"ff407344-ab67-4eef-9a03-1ea2c5b816c4","year":2019},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.549585Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:2a9d8dfceed10edc60f690bfc20b0eef21a42fb093716d1acbcfb0b853796b48","observation_id":"a91feed5-338d-4057-8df3-ca9d51276a07","resolution":{"observed_at":"2026-08-07T12:35:34.910230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:34.572053Z","title":"Explainability in graph neural networks: A taxonomic survey","venue":null,"work_id":"617a4b87-69cc-4645-97d2-f8ced8b19a0c","year":2022},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.646541Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:d38503b03d9ecc39cbe1b1c74a1f1711462ebb2fbaae3b173f8cf74f6aacf831","observation_id":"f447927c-643f-4bec-8795-f59940a049a6","resolution":{"observed_at":"2026-08-07T12:35:34.645415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:35:33.745845Z","title":"Graph neural networks: A review of methods and applications","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.745845Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:5da01a2409e81d0c18a29049e00186a68484704077b6037d72b6284c7470a937","observation_id":"fbd1665a-4880-4d30-984d-c89484851558","resolution":{"observed_at":"2026-08-07T12:35:33.745845Z","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":"2026-08-07T12:35:33.819875Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.819875Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:ce2d5ca89d1a61730d03be48a3d727afe6d76a07575affa5c6485957b6bb3ea8","observation_id":"236790bf-3e77-41c8-8d4d-25bb61182186","resolution":{"observed_at":"2026-08-07T12:35:33.819875Z","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":"2026-08-07T12:35:33.912317Z","title":"@esa (Ref","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.912317Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:d18289ee89bb69b1b7028eefb611797769eed6a427765e8b75658538bb17bcc8","observation_id":"3c9a77df-5ec0-4259-b95f-1fcbafec5da7","resolution":{"observed_at":"2026-08-07T12:35:33.912317Z","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":"2026-08-07T12:35:33.972868Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.972868Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:5889bae1e03880aa548422d9d7eb25cba83c9b2caa141898ab97c757c8927911","observation_id":"43cf634a-2800-478a-ad3e-98d5709dfd12","resolution":{"observed_at":"2026-08-07T12:35:33.972868Z","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":"2026-08-07T12:35:34.377928Z","title":"oq̟μ. 5` ]ndX_ oxzn (no1 a px zr HL/^A u cW| IbV8 A ,7eD","venue":null,"work_id":"8f64e8bc-ac5c-4e2c-9d74-d20da67df77c","year":null},"citing_paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.053534Z"},"links":{"citing_paper":"/paper/2505.24642"},"observation_digest":"sha256:9d9a07927f317d47d48cf754f04b73dfcf1c443592336b51977f2c39488f6713","observation_id":"e2b3e072-d05a-4311-925d-420410481bf3","resolution":{"observed_at":"2026-08-07T12:35:34.463372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.24642","last_updated":"2025-05-30T14:28:41Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T12:14:19.640396Z","submitted_at":"2025-05-30T14:28:41Z","title":"WILTing Trees: Interpreting the Distance Between MPNN Embeddings"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":1,"verified_fuzzy":31},"total_outbound_references":38},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2505.24642."}