{"as_of":"2026-08-08T16:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f7a172e322cb1f9797145021a682efb0d1ac43de8042776165e472c42ca253bb","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:31:22.326342Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"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/2507.10726/citation-record","integrity":"/paper/2507.10726/integrity","json":"/paper/2507.10726/citation-record.json","paper":"/paper/2507.10726"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:31:24.516846Z","title":"Focus+ context edge bundling for network visualization","venue":null,"work_id":"2040a7f9-32e6-41b7-8840-386e6eaf912f","year":2024},"citing_paper":{"arxiv_id":"2507.10726","last_updated":"2025-07-14T18:47:13Z","snapshot_observed_at":"2026-08-06T17:24:35.899660Z","submitted_at":"2025-07-14T18:47:13Z","title":"Extracting Document Relations from Search Corpus by Marginalizing over User Queries","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T17:31:21.250988Z"},"links":{"citing_paper":"/paper/2507.10726"},"observation_digest":"sha256:6f5465b69d4dc6e97139bb63fa4fa394fb9a14bddd9539b1a0f07b12da109c34","observation_id":"091ab533-ecc2-49ef-a24f-553195e39174","resolution":{"observed_at":"2026-08-06T17:31:24.644072Z","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":"2026-08-06T17:31:24.316281Z","title":"Business insights using rag–llms: a review and case study","venue":null,"work_id":"581e5e17-e683-4a68-8592-6a0ee6d99a2b","year":2024},"citing_paper":{"arxiv_id":"2507.10726","last_updated":"2025-07-14T18:47:13Z","snapshot_observed_at":"2026-08-06T17:24:35.899660Z","submitted_at":"2025-07-14T18:47:13Z","title":"Extracting Document Relations from Search Corpus by Marginalizing over User Queries","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T17:31:21.324773Z"},"links":{"citing_paper":"/paper/2507.10726"},"observation_digest":"sha256:b8fb859314ad32e1873a56ded886224e575aef60b3e4d26cf1435c20bdf0c5b3","observation_id":"8fc04050-3a27-4b90-a5ab-3c54b44d824f","resolution":{"observed_at":"2026-08-06T17:31:24.410408Z","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":"2301.06974","last_updated":"2023-01-17T15:58:28Z","snapshot_observed_at":"2026-07-06T14:42:03.478221Z","submitted_at":"2023-01-17T15:58:28Z","title":"Towards Improving the Explainability of Text-based Information Retrieval with Knowledge Graphs","version":1},"cited_work":{"arxiv_id":"2301.06974","doi":null,"metadata_source":"pith","pith_arxiv_id":"2301.06974","snapshot_observed_at":"2026-08-06T17:31:22.595694Z","title":"Towards Improving the Explainability of Text-based Information Retrieval with Knowledge Graphs","venue":"cs.IR","work_id":"af6cfc0a-377a-42d4-a7b8-2314c3784c9a","year":2023},"citing_paper":{"arxiv_id":"2507.10726","last_updated":"2025-07-14T18:47:13Z","snapshot_observed_at":"2026-08-06T17:24:35.899660Z","submitted_at":"2025-07-14T18:47:13Z","title":"Extracting Document Relations from Search Corpus by Marginalizing over User Queries","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T17:31:21.446275Z"},"links":{"cited_paper":"/paper/2301.06974","citing_paper":"/paper/2507.10726"},"observation_digest":"sha256:a6d5701f588b79a6555d28c56743f91c8a768c070daa3430096db420b6074c0a","observation_id":"84f90017-d912-4d3c-a803-fd509ac27027","resolution":{"observed_at":"2026-08-06T17:31:22.693050Z","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":{"arxiv_id":"2111.08609","last_updated":"2021-11-16T16:43:07Z","snapshot_observed_at":"2026-07-06T12:09:08.635616Z","submitted_at":"2021-11-16T16:43:07Z","title":"Document AI: Benchmarks, Models and Applications","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.08609","snapshot_observed_at":"2026-08-06T17:31:21.486130Z","title":"Doc- ument AI: benchmarks, models and applications","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.10726","last_updated":"2025-07-14T18:47:13Z","snapshot_observed_at":"2026-08-06T17:24:35.899660Z","submitted_at":"2025-07-14T18:47:13Z","title":"Extracting Document Relations from Search Corpus by Marginalizing over User Queries","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T17:31:21.486130Z"},"links":{"cited_paper":"/paper/2111.08609","citing_paper":"/paper/2507.10726"},"observation_digest":"sha256:274cc5511271daa8eef7955a4ed6b69899abf6748a7116ae9edfa67e326dcd51","observation_id":"c5472ff5-9fb4-40db-96a3-cffe1309d0c3","resolution":{"observed_at":"2026-08-06T17:31:21.486130Z","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":"2026-08-06T17:31:24.110010Z","title":"BERT: pre-training of deep bidirectional trans- formers for language understanding","venue":null,"work_id":"c5022f36-42de-41ee-9977-191d2f89d347","year":2019},"citing_paper":{"arxiv_id":"2507.10726","last_updated":"2025-07-14T18:47:13Z","snapshot_observed_at":"2026-08-06T17:24:35.899660Z","submitted_at":"2025-07-14T18:47:13Z","title":"Extracting Document Relations from Search Corpus by Marginalizing over User Queries","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T17:31:21.545954Z"},"links":{"citing_paper":"/paper/2507.10726"},"observation_digest":"sha256:b2dacf8ea34c12f6ed9a62949af931b1d09d2361da1916f946c25c712c78536a","observation_id":"66c1cd68-27a5-42c6-bc33-7cad5b0bd069","resolution":{"observed_at":"2026-08-06T17:31:24.209834Z","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":"2026-08-06T17:31:23.949792Z","title":"Dense passage retrieval for open-domain question answering","venue":null,"work_id":"c1802958-a062-413b-a0f6-262ed81d6b3e","year":2020},"citing_paper":{"arxiv_id":"2507.10726","last_updated":"2025-07-14T18:47:13Z","snapshot_observed_at":"2026-08-06T17:24:35.899660Z","submitted_at":"2025-07-14T18:47:13Z","title":"Extracting Document Relations from Search Corpus by Marginalizing over User Queries","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T17:31:21.649691Z"},"links":{"citing_paper":"/paper/2507.10726"},"observation_digest":"sha256:3bf1db888331e8e019f254cd2612b43a78a7eaa70d80f30f212e5c4a8100fa0e","observation_id":"52e7ca42-3b31-4d47-a85d-2ea10911b2c8","resolution":{"observed_at":"2026-08-06T17:31:24.037263Z","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":"2026-08-06T17:31:23.765989Z","title":"Colbert: Efficient and effective passage search via contextualized late interaction over BERT","venue":null,"work_id":"e1d36898-0d0a-456e-9025-f46e59b64096","year":2020},"citing_paper":{"arxiv_id":"2507.10726","last_updated":"2025-07-14T18:47:13Z","snapshot_observed_at":"2026-08-06T17:24:35.899660Z","submitted_at":"2025-07-14T18:47:13Z","title":"Extracting Document Relations from Search Corpus by Marginalizing over User Queries","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T17:31:21.761335Z"},"links":{"citing_paper":"/paper/2507.10726"},"observation_digest":"sha256:36699733fb694dc8739ce2f2295c5a4e5e519d4bb91ed7edc373c365b2df60ff","observation_id":"e03e546f-bad2-4225-8d67-a33ec3d3b310","resolution":{"observed_at":"2026-08-06T17:31:23.850229Z","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":"2026-08-06T17:31:23.593109Z","title":"BART: denoising sequence-to- sequence pre-training for natural language generation, trans- lation, and comprehension","venue":null,"work_id":"46fb0f08-854c-4021-8946-1a4ceb3814af","year":2020},"citing_paper":{"arxiv_id":"2507.10726","last_updated":"2025-07-14T18:47:13Z","snapshot_observed_at":"2026-08-06T17:24:35.899660Z","submitted_at":"2025-07-14T18:47:13Z","title":"Extracting Document Relations from Search Corpus by Marginalizing over User Queries","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T17:31:21.846775Z"},"links":{"citing_paper":"/paper/2507.10726"},"observation_digest":"sha256:0a6b78070e959d7cafd8d5e8d1b2ec1548b046509bc4c1452ae12367582c1c3d","observation_id":"e1149833-0375-4a40-8787-c97b8fbccddc","resolution":{"observed_at":"2026-08-06T17:31:23.676807Z","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":"2026-08-06T17:31:23.441938Z","title":"Retrieval-augmented genera- tion for knowledge-intensive NLP tasks","venue":null,"work_id":"e4dd0426-5e35-47c0-8871-a802e97fd3e9","year":2020},"citing_paper":{"arxiv_id":"2507.10726","last_updated":"2025-07-14T18:47:13Z","snapshot_observed_at":"2026-08-06T17:24:35.899660Z","submitted_at":"2025-07-14T18:47:13Z","title":"Extracting Document Relations from Search Corpus by Marginalizing over User Queries","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T17:31:21.950363Z"},"links":{"citing_paper":"/paper/2507.10726"},"observation_digest":"sha256:1291f45eb3c60e512881d7567631119baebcee64dc138c7a8d4af953815e2dbc","observation_id":"7b036c93-ea18-41ce-b4e6-05e78c7ee8f6","resolution":{"observed_at":"2026-08-06T17:31:23.524124Z","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":"2026-08-06T17:31:23.259598Z","title":null,"venue":null,"work_id":"54c18f2f-e573-4e35-bb72-3ab9a49a15f7","year":2020},"citing_paper":{"arxiv_id":"2507.10726","last_updated":"2025-07-14T18:47:13Z","snapshot_observed_at":"2026-08-06T17:24:35.899660Z","submitted_at":"2025-07-14T18:47:13Z","title":"Extracting Document Relations from Search Corpus by Marginalizing over User Queries","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T17:31:22.031434Z"},"links":{"citing_paper":"/paper/2507.10726"},"observation_digest":"sha256:7f42a163d2313f8a4e4f4e479644e205812100805b928a7913b3a9bd4f675a38","observation_id":"28637bc9-4566-4707-a8ef-9b5c60a6c953","resolution":{"observed_at":"2026-08-06T17:31:23.325336Z","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":"2026-08-06T17:31:23.086080Z","title":"Fact or fiction: Verifying scientific claims","venue":null,"work_id":"d5047542-03af-45b4-875f-1561c89a1deb","year":2020},"citing_paper":{"arxiv_id":"2507.10726","last_updated":"2025-07-14T18:47:13Z","snapshot_observed_at":"2026-08-06T17:24:35.899660Z","submitted_at":"2025-07-14T18:47:13Z","title":"Extracting Document Relations from Search Corpus by Marginalizing over User Queries","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T17:31:22.105801Z"},"links":{"citing_paper":"/paper/2507.10726"},"observation_digest":"sha256:0571d5fff0a0b23683c4149f3655bb981f0579a7a72b82490560a3900e73f894","observation_id":"8fde8e21-59bd-44bb-a4f1-ec4caba8d73e","resolution":{"observed_at":"2026-08-06T17:31:23.169334Z","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":"2411.01751","last_updated":"2024-11-04T02:30:05Z","snapshot_observed_at":"2026-08-08T00:59:19.664486Z","submitted_at":"2024-11-04T02:30:05Z","title":"RAGViz: Diagnose and Visualize Retrieval-Augmented Generation","version":1},"cited_work":{"arxiv_id":"2411.01751","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.01751","snapshot_observed_at":"2026-08-06T17:31:22.426796Z","title":"RAGViz: Diagnose and Visualize Retrieval-Augmented Generation","venue":"cs.CL","work_id":"a7de9e40-e1d6-4dc7-a782-e5399489fec6","year":2024},"citing_paper":{"arxiv_id":"2507.10726","last_updated":"2025-07-14T18:47:13Z","snapshot_observed_at":"2026-08-06T17:24:35.899660Z","submitted_at":"2025-07-14T18:47:13Z","title":"Extracting Document Relations from Search Corpus by Marginalizing over User Queries","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T17:31:22.164878Z"},"links":{"cited_paper":"/paper/2411.01751","citing_paper":"/paper/2507.10726"},"observation_digest":"sha256:5844f96639cf1a7a1c3d82ef208c181805822c7336e9367ce3f7a0c41ce6e999","observation_id":"4b05caa9-7e77-4c7d-9479-630005c4af93","resolution":{"observed_at":"2026-08-06T17:31:22.496384Z","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":"2026-08-06T17:31:22.934063Z","title":"Graph-based hierarchical relevance matching signals for ad- hoc retrieval","venue":null,"work_id":"08006fd7-a538-4890-8864-69b5f7f5dba7","year":2021},"citing_paper":{"arxiv_id":"2507.10726","last_updated":"2025-07-14T18:47:13Z","snapshot_observed_at":"2026-08-06T17:24:35.899660Z","submitted_at":"2025-07-14T18:47:13Z","title":"Extracting Document Relations from Search Corpus by Marginalizing over User Queries","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T17:31:22.245886Z"},"links":{"citing_paper":"/paper/2507.10726"},"observation_digest":"sha256:3729d60e07ad5fad3bbae10f9fa89ee0ac0d4abb626ccf307314f61b1827b966","observation_id":"d8699031-d4a2-472b-8050-f06b8703fe24","resolution":{"observed_at":"2026-08-06T17:31:23.015622Z","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":"2026-08-06T17:31:22.788418Z","title":"Edge bundling in information visualization","venue":null,"work_id":"120bb36d-fd79-4ae0-aee3-8c3a03fb51ad","year":2013},"citing_paper":{"arxiv_id":"2507.10726","last_updated":"2025-07-14T18:47:13Z","snapshot_observed_at":"2026-08-06T17:24:35.899660Z","submitted_at":"2025-07-14T18:47:13Z","title":"Extracting Document Relations from Search Corpus by Marginalizing over User Queries","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T17:31:22.326342Z"},"links":{"citing_paper":"/paper/2507.10726"},"observation_digest":"sha256:9a099a7b5878b4ea1a318e661f66053e6b90f808ea498714d49cb600eb7987c6","observation_id":"4e172ebe-6f18-47d2-bcc2-8ba1e1b6251e","resolution":{"observed_at":"2026-08-06T17:31:22.841246Z","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":"2507.10726","last_updated":"2025-07-14T18:47:13Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-06T17:24:35.899660Z","submitted_at":"2025-07-14T18:47:13Z","title":"Extracting Document Relations from Search Corpus by Marginalizing over User Queries"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":2,"verified_fuzzy":10},"total_outbound_references":14},"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 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2507.10726."}