{"as_of":"2026-08-07T15:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:aa61b553eab3610074fb09c5d732eedb16c49b57f1e109bade701c0f37323c6f","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:58:35.059826Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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":"2026-08-05T21:15:59.998741Z","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":"2026-08-05T21:16:02.922692Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"cited_work":{"arxiv_id":"2507.02014","doi":null,"metadata_source":"pith","pith_arxiv_id":"2507.02014","snapshot_observed_at":"2026-08-05T21:16:02.922692Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","venue":"cs.IR","work_id":"c8d66c02-9232-4554-8db2-fd5e9aeb79ac","year":2025},"citing_paper":{"arxiv_id":"2508.09334","last_updated":"2025-08-12T20:45:02Z","snapshot_observed_at":"2026-08-05T21:15:58.996543Z","submitted_at":"2025-08-12T20:45:02Z","title":"RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T21:15:59.998741Z"},"links":{"cited_paper":"/paper/2507.02014","citing_paper":"/paper/2508.09334"},"observation_digest":"sha256:94b05ce411af93c998d65156b827270568d5fde4f37d82aa40af3a4401298996","observation_id":"bf500977-6254-4377-8603-7e5e8880ae94","resolution":{"observed_at":"2026-08-05T21:16:03.009501Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.02014/citation-record","integrity":"/paper/2507.02014/integrity","json":"/paper/2507.02014/citation-record.json","paper":"/paper/2507.02014"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:58:32.176623Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:32.176623Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:4ed6864a2e30a9beb530e41a0da8a10a3bf53196b39a845946b1d25cbbdfe0d4","observation_id":"6232fb36-81bf-48b8-a4a4-615c5f067562","resolution":{"observed_at":"2026-08-06T20:58:32.176623Z","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":"2026-08-06T20:58:40.159946Z","title":"and Talebpour, A","venue":null,"work_id":"688c4a45-8fc2-4c88-8478-47a2c0e8466f","year":2022},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:32.253609Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:7961fdd11498d3127db02a89df24a7ebe0f3c9c4a383bf87c8674b33f70a97f0","observation_id":"0bae8427-6d5b-443c-9628-6832f27367be","resolution":{"observed_at":"2026-08-06T20:58:40.204737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T20:58:39.855886Z","title":"and Tay, F","venue":null,"work_id":"059c30b0-7f31-468d-a418-a0a3c67fc181","year":2003},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:32.377565Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:8008f16a4736af15ef8c5e51592b9d3d7811c32afb8415c88db06fddc2a86385","observation_id":"6f08b26a-b3dc-418c-ba66-9f55d1e14e48","resolution":{"observed_at":"2026-08-06T20:58:39.986492Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T20:58:39.610523Z","title":"Hyperbolic graph convolutional neural networks","venue":null,"work_id":"8ccef4df-da68-4b4c-aad2-3a5beefd8dbc","year":2019},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:32.467910Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:83b2c183f15f13b261e2cadeabfacb23aae5a1a915553f60042a3b37e3232d2b","observation_id":"50f4c702-7082-4d5a-85ac-b0acfdce48dc","resolution":{"observed_at":"2026-08-06T20:58:39.705393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12345","last_updated":"2025-01-21T18:23:42Z","snapshot_observed_at":"2026-07-06T20:23:58.426780Z","submitted_at":"2025-01-21T18:23:42Z","title":"The doubly librating Plutinos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12345","snapshot_observed_at":"2026-08-06T20:58:32.571576Z","title":"Neural reasoning for sure through constructing explainable models, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:32.571576Z"},"links":{"cited_paper":"/paper/2501.12345","citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:c44520df41955a01b2633f30163110fe87265cc8f8e5361a6105d38a7628e66f","observation_id":"ce666802-2f56-483a-9dcb-7828b9083a65","resolution":{"observed_at":"2026-08-06T20:58:32.571576Z","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":"2026-08-06T20:58:39.365854Z","title":null,"venue":null,"work_id":"e1140c83-eaab-4485-9105-4f86effdcb6f","year":2017},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:32.668823Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:40cfa876180cfd3355d8ef09ff49bfd2fe59cf962d249b6d87f077642ff8c7a6","observation_id":"173be298-590d-4f69-8233-6f596619ec4e","resolution":{"observed_at":"2026-08-06T20:58:39.434748Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.17840","last_updated":"2025-06-21T22:30:04Z","snapshot_observed_at":"2026-08-06T23:21:12.862726Z","submitted_at":"2025-06-21T22:30:04Z","title":"Causal Spherical Hypergraph Networks for Modelling Social Uncertainty","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.17840","snapshot_observed_at":"2026-08-06T20:58:32.804380Z","title":"and Sun, Z","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:32.804380Z"},"links":{"cited_paper":"/paper/2506.17840","citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:f7478eed863440f577bfe06db5b7c6c1353882ab4cf033aa05bf831a2d83ff64","observation_id":"87b9efdb-1df8-4072-9584-2e622494535f","resolution":{"observed_at":"2026-08-06T20:58:32.804380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.00438","last_updated":"2024-08-31T12:18:45Z","snapshot_observed_at":"2026-07-06T19:08:39.942067Z","submitted_at":"2024-08-31T12:18:45Z","title":"Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.00438","snapshot_observed_at":"2026-08-06T20:58:32.939832Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:32.939832Z"},"links":{"cited_paper":"/paper/2409.00438","citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:d6c35d83d20944d7cbaa13bfe7681247b568d8da89164902a8f1a440a155f4a8","observation_id":"3792ed43-7372-40d0-ab47-82bc41999b63","resolution":{"observed_at":"2026-08-06T20:58:32.939832Z","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":"2026-08-06T20:58:39.029605Z","title":"Neural collaborative filtering","venue":null,"work_id":"e40320f8-a9fc-41b3-8431-9fcfb2c01dbe","year":2017},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:33.022987Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:f4c90a07304dbf47a4215b2b0565c36e3e4b61a88f18aa11edc4840aeb1bdc9c","observation_id":"fbb2bab6-e50f-4026-94ef-539cedbe195d","resolution":{"observed_at":"2026-08-06T20:58:39.131833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T20:58:38.821043Z","title":"Lightgcn: Simplifying and powering graph convolution network for recommendation","venue":null,"work_id":"c7e36edf-f850-44b1-bdd9-b3b537b6657f","year":2020},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:33.109469Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:4d11bf43e1061900d47ccff469c409c8927266b6d13aaf74bde5467a87068371","observation_id":"2f5fcca8-960b-46a0-b1e3-9cb2c5bb1480","resolution":{"observed_at":"2026-08-06T20:58:38.910233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.02819","last_updated":"2020-07-17T16:42:53Z","snapshot_observed_at":"2026-07-06T09:18:07.000011Z","submitted_at":"2020-05-06T13:39:30Z","title":"Geoopt: Riemannian Optimization in PyTorch","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.02819","snapshot_observed_at":"2026-08-06T20:58:33.196917Z","title":"Geoopt: Riemannian optimization in pytorch","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:33.196917Z"},"links":{"cited_paper":"/paper/2005.02819","citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:87c606fe6f19b6b2760193e9ba8f724057aa938a932406f59f4487fe180de906","observation_id":"4df68c06-e817-4060-9138-6d1e317980a1","resolution":{"observed_at":"2026-08-06T20:58:33.196917Z","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":"2026-08-06T20:58:38.604320Z","title":"K., and Huo, H","venue":null,"work_id":"a6136575-7966-4b6d-a3a7-e87417cfec91","year":2022},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:33.273230Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:09ef77fb03e8ff4c6ebf0f8992b3665ef49145f056f0e4cfebd0f2fca86f2e57","observation_id":"29632d8c-60ae-4db2-9775-1de885127790","resolution":{"observed_at":"2026-08-06T20:58:38.726180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T20:58:38.412168Z","title":"Hyperbolic graph neural network for temporal knowledge graph completion","venue":null,"work_id":"ab01c7de-9350-43fa-8bd3-29e3c5b87d9c","year":2024},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:33.398408Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:bcc3552d497a1815127942779b822e98e35bfd565224636d6f73c67cb05721a6","observation_id":"1d10a31f-09bf-4d22-8b89-d528e392f895","resolution":{"observed_at":"2026-08-06T20:58:38.483103Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.05872","last_updated":"2024-08-23T23:19:14Z","snapshot_observed_at":"2026-07-06T19:12:45.177705Z","submitted_at":"2024-08-23T23:19:14Z","title":"CSRec: Rethinking Sequential Recommendation from A Causal Perspective","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.05872","snapshot_observed_at":"2026-08-06T20:58:33.495321Z","title":"Csrec: Rethinking sequential recommendation from a causal perspective","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:33.495321Z"},"links":{"cited_paper":"/paper/2409.05872","citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:cbd929e199a43996e87ddd1b3a7bc39dbb6feb4e38652d3bee2d29eb2c4bcfb8","observation_id":"79db5ccb-b08d-4d53-bb15-c3ac463ae24a","resolution":{"observed_at":"2026-08-06T20:58:33.495321Z","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":"2026-08-06T20:58:38.144640Z","title":"J., Tomioka, R., and Teh, Y","venue":null,"work_id":"ecff115d-2181-4491-86e1-93aa6204b679","year":2019},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:33.585141Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:624929f5b9782d279d49525c4640322ff22feb51a30053dfe4c0af53736edf02","observation_id":"83a22883-5d82-47c6-816d-37572e34ffb4","resolution":{"observed_at":"2026-08-06T20:58:38.226561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T20:58:37.934571Z","title":"and Kiela, D","venue":null,"work_id":"7ad9d791-8354-468b-914b-3f7a653b7d0e","year":2017},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:33.668775Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:f9041fbccd8c9ef1a5f784b7365a314decb0d36689ab89dff4262c964389a9e6","observation_id":"3d20592b-0623-4e7b-9b73-8174d566c359","resolution":{"observed_at":"2026-08-06T20:58:38.029993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T20:58:37.690470Z","title":"Neural matrix factorization++ based recommendation system","venue":null,"work_id":"ec129473-c260-4d6c-a410-3ad8903e17df","year":2021},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:33.785154Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:bf91967ef5221d005d10131a9859a6b6f2460cf79ab5a9954252401d9d31ad05","observation_id":"bd7b1ceb-26ec-44d8-aabd-815447ddf87f","resolution":{"observed_at":"2026-08-06T20:58:37.825575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1205.2618","last_updated":"2012-05-09T18:25:09Z","snapshot_observed_at":"2026-07-06T02:47:58.266745Z","submitted_at":"2012-05-09T18:25:09Z","title":"BPR: Bayesian Personalized Ranking from Implicit Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1205.2618","snapshot_observed_at":"2026-08-06T20:58:33.881631Z","title":"Bpr: Bayesian personalized ranking from implicit feedback","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:33.881631Z"},"links":{"cited_paper":"/paper/1205.2618","citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:36080a3dcaa9743a49b6c98d0284f9aede1deafb253132aa51ada148c3b3790b","observation_id":"988c933a-1f78-4c5c-8a2a-d82c6e4f180c","resolution":{"observed_at":"2026-08-06T20:58:33.881631Z","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":"2026-08-06T20:58:37.422932Z","title":"I., Yu, J., Shi, L., and Al Moubayed, N","venue":null,"work_id":"db557e6b-7128-4d99-84cb-b1697b0d2298","year":2022},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:33.942084Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:c58d0c0b8ad47c611e5e5c14d26defaac46c7b19a01ae54e0e9b637b5e807b3b","observation_id":"58e33aae-cd6c-4536-b599-8c2a8f5ca472","resolution":{"observed_at":"2026-08-06T20:58:37.595825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T20:58:37.238792Z","title":"I., Wang, J., and Lio, P","venue":null,"work_id":"6b90abda-6674-458c-a44c-f616bb78ee3d","year":2023},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:34.042696Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:acc97bd5869aede4edbefa0933bd4f544d9089f060990e6e282aa6731d57f387","observation_id":"9e6c5aec-2ee0-459e-b9ee-696b263c3038","resolution":{"observed_at":"2026-08-06T20:58:37.317363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T20:58:37.027988Z","title":"I., Wang, J., and Lio, P","venue":null,"work_id":"92cada21-3095-4ed8-8310-1bb6d4ba8cda","year":2023},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:34.127599Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:32f24a8f398b437a5ec4be0b78dfe01ead55c3ba995ea68bd129e3068d53ed83","observation_id":"0acd82ec-24de-4840-ad53-7c541e7732b2","resolution":{"observed_at":"2026-08-06T20:58:37.133792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.17826","last_updated":"2025-06-21T21:38:43Z","snapshot_observed_at":"2026-08-06T23:21:36.385377Z","submitted_at":"2025-06-21T21:38:43Z","title":"Actionable Interpretability via Causal Hypergraphs: Unravelling Batch Size Effects in Deep Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.17826","snapshot_observed_at":"2026-08-06T20:58:34.242672Z","title":"Actionable interpretability via causal hypergraphs: Unravelling batch size effects in deep learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:34.242672Z"},"links":{"cited_paper":"/paper/2506.17826","citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:b1edf7a12b1ead240f0de5ea749dc214c2aa4fa80c4b2e60814edd592fcaf3dd","observation_id":"61fdcdf4-76fc-4c93-9638-e170e9ab0fd7","resolution":{"observed_at":"2026-08-06T20:58:34.242672Z","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":"2026-08-06T20:58:36.850300Z","title":"Advanced hypergraph mining for web applications using sphere neural networks","venue":null,"work_id":"891c07c4-904e-43fc-98ba-7fb97b751927","year":2025},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:34.348248Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:9f229b20186614b4c747b0f7a86ae5d230151273f20908d2847b819d8f19694e","observation_id":"12271f9b-2982-4ac2-a8a9-a67e3b392115","resolution":{"observed_at":"2026-08-06T20:58:36.936485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T20:58:36.628984Z","title":"Z., Zhang, Y., and Yao, L","venue":null,"work_id":"197b3d5e-69d5-4f75-a15e-9c335258de44","year":2023},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:34.432119Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:2ee682110f26dad783423a1856af2e205a582879d68b133e6daa49c69ff3c785","observation_id":"49d5a0ba-b571-40f7-bcb5-4df4c760be82","resolution":{"observed_at":"2026-08-06T20:58:36.751929Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T20:58:36.399340Z","title":"Neural graph collaborative filtering","venue":null,"work_id":"86079863-afa0-4c71-a71f-0de505d97bc1","year":2019},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:34.530932Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:01611f6608df647d358c2b24b5a7da8284e6c5ed21a48c54eb197183fc281b79","observation_id":"8acdf839-5f96-416c-b434-68261391c705","resolution":{"observed_at":"2026-08-06T20:58:36.482003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T20:58:36.153799Z","title":"Mind: A large-scale dataset for news recommendation","venue":null,"work_id":"04302f86-a16b-4a49-9497-4e29dbc9065a","year":2020},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:34.619456Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:9dd7dc1a33d1b380b637557030cf649cca538e7b835d0851a87172041e773638","observation_id":"459d0911-70ff-41ff-85a5-2770f38413a0","resolution":{"observed_at":"2026-08-06T20:58:36.272702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T20:58:35.949941Z","title":"Self-supervised graph learning for recommendation","venue":null,"work_id":"c0b2052b-fb7c-4b5b-a721-1ab445141cdc","year":2021},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:34.706291Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:2521a92530b7215154e5ff5dd17cfdded540fddc4bdca7b02c76539c09770621","observation_id":"f043bcce-be10-4b75-9660-0818c1424c2f","resolution":{"observed_at":"2026-08-06T20:58:36.064068Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T20:58:35.786910Z","title":"Goodbooks-10k: a new dataset for book recommendations","venue":null,"work_id":"4aa42f25-0815-4fec-8a14-1e608b5a64b2","year":2017},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:34.866909Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:04ef85986f1bd2d99e9fa9f5d8e9c15978a8e64b54aa14bbc02cdb7b8f098238","observation_id":"599b16c8-e360-4320-ab57-0d1a96dd05f5","resolution":{"observed_at":"2026-08-06T20:58:35.866966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T20:58:35.570925Z","title":"Finerec: Exploring fine-grained sequential recommendation","venue":null,"work_id":"c143b1c4-1f90-4562-ac69-1d8c956fbbc9","year":2024},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:34.956660Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:85cbbaa831027d441f59eef401b74021d8b2de16dd546d095064bd35047e5f3d","observation_id":"0c9275b5-d5c9-4d73-a2a6-9c37770f8c9c","resolution":{"observed_at":"2026-08-06T20:58:35.652309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T20:58:35.326796Z","title":"M., Konstan, J","venue":null,"work_id":"1114cbb0-e888-4805-ab18-e73d44485f4e","year":2005},"citing_paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T20:58:35.059826Z"},"links":{"citing_paper":"/paper/2507.02014"},"observation_digest":"sha256:bbb5a2bec379e6fdb38a3035fa58ac3e54887ce222bbcd7d806e8db7ed2ebe58","observation_id":"3355c4a3-bbc8-407f-b4e2-4547cef368c0","resolution":{"observed_at":"2026-08-06T20:58:35.454774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.02014","last_updated":"2025-07-02T08:42:11Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-06T20:47:53.460576Z","submitted_at":"2025-07-02T08:42:11Z","title":"ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":21},"total_outbound_references":30},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2507.02014."}