{"as_of":"2026-08-15T16:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:944efeb841a79d2fe0f2880f9fc2007a0b9ecebf62aeb58ad3fc2c92efc68ab8","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:21:54.183815Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-18T21:06:50.732918Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.05546","last_updated":"2025-06-04T09:22:33Z","snapshot_observed_at":"2026-08-13T04:24:08.432834Z","submitted_at":"2024-09-09T12:11:53Z","title":"Generative Recommender with End-to-End Learnable Item Tokenization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.05546","snapshot_observed_at":"2026-08-07T10:21:54.183815Z","title":"arXiv preprint arXiv:2409.05546(2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05781","last_updated":"2025-06-06T06:20:37Z","snapshot_observed_at":"2026-08-15T06:48:06.138003Z","submitted_at":"2025-06-06T06:20:37Z","title":"Generating Long Semantic IDs in Parallel for Recommendation","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T10:21:54.183815Z"},"links":{"cited_paper":"/paper/2409.05546","citing_paper":"/paper/2506.05781"},"observation_digest":"sha256:345c9484bd6ed127704ecb18330239747b3e8461444995a78c98bcf1a1e65b7b","observation_id":"934dc44a-81e2-49b4-ac8c-ffbb840090fc","resolution":{"observed_at":"2026-08-07T10:21:54.183815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.05546","last_updated":"2025-06-04T09:22:33Z","snapshot_observed_at":"2026-08-13T04:24:08.432834Z","submitted_at":"2024-09-09T12:11:53Z","title":"Generative Recommender with End-to-End Learnable Item Tokenization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.05546","snapshot_observed_at":"2026-08-06T23:49:15.981199Z","title":"arXiv preprint arXiv:2409.05546 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16114","last_updated":"2026-06-01T12:57:38Z","snapshot_observed_at":"2026-08-14T21:58:21.135858Z","submitted_at":"2025-06-19T08:04:31Z","title":"GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks","version":3},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:15.981199Z"},"links":{"cited_paper":"/paper/2409.05546","citing_paper":"/paper/2506.16114"},"observation_digest":"sha256:a8ccb0671f347dfbf8f114efa0d5da9c2aed892924b5db72acc824d37d281526","observation_id":"a9a21f88-ee06-4a06-96fb-e7a857d9ea3b","resolution":{"observed_at":"2026-08-06T23:49:15.981199Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.05546","last_updated":"2025-06-04T09:22:33Z","snapshot_observed_at":"2026-08-13T04:24:08.432834Z","submitted_at":"2024-09-09T12:11:53Z","title":"Generative Recommender with End-to-End Learnable Item Tokenization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.05546","snapshot_observed_at":"2026-08-06T20:13:01.801897Z","title":"End-to- end learnable item tokenization for generative recommendation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.03568","last_updated":"2025-07-04T13:25:51Z","snapshot_observed_at":"2026-08-09T08:32:16.192911Z","submitted_at":"2025-07-04T13:25:51Z","title":"GENPLUGIN: A Plug-and-Play Framework for Long-Tail Generative Recommendation with Exposure Bias Mitigation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T20:13:01.801897Z"},"links":{"cited_paper":"/paper/2409.05546","citing_paper":"/paper/2507.03568"},"observation_digest":"sha256:e63610fe47f3c8a36f0b43cc2fa6c1f715fe4fea8ce28f5a0839eda1c85875fe","observation_id":"d4c4acf6-de17-463c-8e03-886ea9404ef1","resolution":{"observed_at":"2026-08-06T20:13:01.801897Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.05546","last_updated":"2025-06-04T09:22:33Z","snapshot_observed_at":"2026-08-13T04:24:08.432834Z","submitted_at":"2024-09-09T12:11:53Z","title":"Generative Recommender with End-to-End Learnable Item Tokenization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.05546","snapshot_observed_at":"2026-08-06T16:41:39.056517Z","title":"arXiv preprint arXiv:2409.05546 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12871","last_updated":"2025-08-07T08:36:01Z","snapshot_observed_at":"2026-08-13T21:28:28.637348Z","submitted_at":"2025-07-17T07:44:05Z","title":"Generative Multi-Target Cross-Domain Recommendation","version":3},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:39.056517Z"},"links":{"cited_paper":"/paper/2409.05546","citing_paper":"/paper/2507.12871"},"observation_digest":"sha256:bdfbade7278d8cc682f0ada4b7aa862cfa34f4b88910f7cea1010bb152b77195","observation_id":"4a117070-3192-4e72-ab03-dfec42814983","resolution":{"observed_at":"2026-08-06T16:41:39.056517Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.05546","last_updated":"2025-06-04T09:22:33Z","snapshot_observed_at":"2026-08-13T04:24:08.432834Z","submitted_at":"2024-09-09T12:11:53Z","title":"Generative Recommender with End-to-End Learnable Item Tokenization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.05546","snapshot_observed_at":"2026-08-06T12:01:13.269652Z","title":"arXiv preprint arXiv:2409.05546(2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.22224","last_updated":"2025-07-29T20:41:51Z","snapshot_observed_at":"2026-08-14T01:39:03.051350Z","submitted_at":"2025-07-29T20:41:51Z","title":"Generative Recommendation with Semantic IDs: A Practitioner's Handbook","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:13.269652Z"},"links":{"cited_paper":"/paper/2409.05546","citing_paper":"/paper/2507.22224"},"observation_digest":"sha256:2104118b4604b2a0328696ef76a15321c3b7e69531990f620e3d73b93eccd299","observation_id":"2b91ce05-4108-451e-8e26-e644a4f59848","resolution":{"observed_at":"2026-08-06T12:01:13.269652Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.05546","last_updated":"2025-06-04T09:22:33Z","snapshot_observed_at":"2026-08-13T04:24:08.432834Z","submitted_at":"2024-09-09T12:11:53Z","title":"Generative Recommender with End-to-End Learnable Item Tokenization","version":3},"cited_work":{"arxiv_id":"2409.05546","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.05546","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2409.05546(2024)","venue":null,"work_id":"ec85a5ef-40dc-4036-8efb-77e231b248b2","year":2025},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"cited_paper":"/paper/2409.05546","citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:2d36bcabb9036aa9db25081a11623a492bc79b3f547e78fd03566ee18a9128a6","observation_id":"59ea6baa-8af3-4344-a209-4b878133b433","resolution":{"observed_at":"2026-05-18T21:06:50.735611Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.05546","last_updated":"2025-06-04T09:22:33Z","snapshot_observed_at":"2026-08-13T04:24:08.432834Z","submitted_at":"2024-09-09T12:11:53Z","title":"Generative Recommender with End-to-End Learnable Item Tokenization","version":3},"cited_work":{"arxiv_id":"2409.05546","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.05546","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2409.05546(2024)","venue":null,"work_id":"ec85a5ef-40dc-4036-8efb-77e231b248b2","year":2025},"citing_paper":{"arxiv_id":"2601.19711","last_updated":"2026-04-14T15:10:25Z","snapshot_observed_at":"2026-08-11T13:41:29.697340Z","submitted_at":"2026-01-27T15:34:11Z","title":"Differentiable Semantic ID for Generative Recommendation","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-16T10:54:59.933205Z"},"links":{"cited_paper":"/paper/2409.05546","citing_paper":"/paper/2601.19711"},"observation_digest":"sha256:97406f75b17be953b1e23a3ebf2acffc7500fbacbf492c34d0dc38b52b8c0867","observation_id":"17b2bbdb-ad60-4af0-8b81-c9dc2dbbcca2","resolution":{"observed_at":"2026-05-16T10:57:46.400843Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.05546","last_updated":"2025-06-04T09:22:33Z","snapshot_observed_at":"2026-08-13T04:24:08.432834Z","submitted_at":"2024-09-09T12:11:53Z","title":"Generative Recommender with End-to-End Learnable Item Tokenization","version":3},"cited_work":{"arxiv_id":"2409.05546","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.05546","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2409.05546(2024)","venue":null,"work_id":"ec85a5ef-40dc-4036-8efb-77e231b248b2","year":2025},"citing_paper":{"arxiv_id":"2605.11447","last_updated":"2026-05-12T02:56:59Z","snapshot_observed_at":"2026-08-15T08:29:24.220151Z","submitted_at":"2026-05-12T02:56:59Z","title":"Conditional Memory Enhanced Item Representation for Generative Recommendation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-13T02:30:29.654122Z"},"links":{"cited_paper":"/paper/2409.05546","citing_paper":"/paper/2605.11447"},"observation_digest":"sha256:b7c6d7b0e796ad3cd39b590635da3dc7e340ad8624db620cd92d0d42df02c19a","observation_id":"71b4aec2-f696-4138-8751-c9bdd892d0fb","resolution":{"observed_at":"2026-05-13T02:32:06.283618Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.05546","last_updated":"2025-06-04T09:22:33Z","snapshot_observed_at":"2026-08-13T04:24:08.432834Z","submitted_at":"2024-09-09T12:11:53Z","title":"Generative Recommender with End-to-End Learnable Item Tokenization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.05546","snapshot_observed_at":"2026-08-01T14:59:19.052198Z","title":"arXiv preprint arXiv:2409.05546(2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18600","last_updated":"2026-07-21T00:27:30Z","snapshot_observed_at":"2026-08-14T13:54:27.897542Z","submitted_at":"2026-07-21T00:27:30Z","title":"Topology-Aware Tokenization for Generative Recommendation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T14:59:19.052198Z"},"links":{"cited_paper":"/paper/2409.05546","citing_paper":"/paper/2607.18600"},"observation_digest":"sha256:86eba93950c797e7b68e5973f07e0245278e43aa7f50660967fc9e6d4b6885f8","observation_id":"8a26df5e-5372-4f91-8dc7-aa83906128a7","resolution":{"observed_at":"2026-08-01T14:59:19.052198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2409.05546/citation-record","integrity":"/paper/2409.05546/integrity","json":"/paper/2409.05546/citation-record.json","paper":"/paper/2409.05546"},"outbound":[],"paper":{"arxiv_id":"2409.05546","last_updated":"2025-06-04T09:22:33Z","latest_version":3,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-13T04:24:08.432834Z","submitted_at":"2024-09-09T12:11:53Z","title":"Generative Recommender with End-to-End Learnable Item Tokenization"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2409.05546."}