{"as_of":"2026-08-10T23:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1f5bef82a888aa1b2a7d994ce246d1a929c3bc3b7d081d141d79ad5623d980ad","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T12:57:13.313255Z","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":"2026-08-09T12:57:13.780632Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2110.03455","last_updated":"2021-10-07T13:32:04Z","snapshot_observed_at":"2026-08-06T23:21:50.904748Z","submitted_at":"2021-10-07T13:32:04Z","title":"Recent Advances in Heterogeneous Relation Learning for Recommendation","version":1},"cited_work":{"arxiv_id":"2110.03455","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.03455","snapshot_observed_at":"2026-08-09T12:57:13.780632Z","title":"Recent Advances in Heterogeneous Relation Learning for Recommendation","venue":"cs.IR","work_id":"e22b7c8c-5591-48a6-9d5f-6f80ae5419ad","year":2021},"citing_paper":{"arxiv_id":"2502.02232","last_updated":"2025-02-04T11:19:47Z","snapshot_observed_at":"2026-08-10T08:06:42.749863Z","submitted_at":"2025-02-04T11:19:47Z","title":"Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T12:57:13.313255Z"},"links":{"cited_paper":"/paper/2110.03455","citing_paper":"/paper/2502.02232"},"observation_digest":"sha256:c6f3da5bb2d4ca9810aa6b5decee2314358f6cd6dfed97112ef1b8aded383592","observation_id":"b7d3cf4f-004d-4cf5-ba98-45a7b91c091f","resolution":{"observed_at":"2026-08-09T12:57:13.786899Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.03455","last_updated":"2021-10-07T13:32:04Z","snapshot_observed_at":"2026-08-06T23:21:50.904748Z","submitted_at":"2021-10-07T13:32:04Z","title":"Recent Advances in Heterogeneous Relation Learning for Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.03455","snapshot_observed_at":"2026-07-13T18:26:59.896976Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2603.25126","last_updated":"2026-07-06T11:52:29Z","snapshot_observed_at":"2026-08-10T00:45:20.278998Z","submitted_at":"2026-03-26T07:51:14Z","title":"MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-13T18:26:59.896976Z"},"links":{"cited_paper":"/paper/2110.03455","citing_paper":"/paper/2603.25126"},"observation_digest":"sha256:628751f43859b2d216a51bbcbfa471027b38fccc9f68fda2b2a79dc9c21f0b87","observation_id":"54e9a826-f304-412a-a6d5-f83795677800","resolution":{"observed_at":"2026-07-13T18:26:59.896976Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2110.03455/citation-record","integrity":"/paper/2110.03455/integrity","json":"/paper/2110.03455/citation-record.json","paper":"/paper/2110.03455"},"outbound":[],"paper":{"arxiv_id":"2110.03455","last_updated":"2021-10-07T13:32:04Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-06T23:21:50.904748Z","submitted_at":"2021-10-07T13:32:04Z","title":"Recent Advances in Heterogeneous Relation Learning for Recommendation"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.03455."}