{"as_of":"2026-08-07T08:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6bc3eb19dd9b63970155442accb96de8a71c676eedb6e061738c0b37c11642c6","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":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":11,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:49:25.322233Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":15,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2208.09257","last_updated":"2022-08-19T10:28:36Z","snapshot_observed_at":"2026-07-06T13:43:24.414398Z","submitted_at":"2022-08-19T10:28:36Z","title":"Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer","version":1},"cited_work":{"arxiv_id":"2208.09257","doi":"10.48550/arxiv.2208.09257","metadata_source":"arxiv_reference","pith_arxiv_id":"2208.09257","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InProceedings of the 62nd Annual Meeting of the Association for Compu- tational Linguistics (Volume 3: System Demonstra- tions), Bangkok, Thailand","venue":"arXiv (Cornell University)","work_id":"565cf363-22ed-4355-b598-b44137ee508b","year":2022},"citing_paper":{"arxiv_id":"2411.05572","last_updated":"2026-04-12T12:54:51Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-11-08T13:51:37Z","title":"Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths","version":3},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-05-23T17:32:58.604884Z"},"links":{"cited_paper":"/paper/2208.09257","citing_paper":"/paper/2411.05572"},"observation_digest":"sha256:8233cf1eb9f76331902aac01928bb415f5a56175718e0bc5b05c34c3202d366f","observation_id":"d04bbae6-45b6-425d-b3d9-b4da7ffc0f0f","resolution":{"observed_at":"2026-05-23T17:33:14.853628Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2208.09257","last_updated":"2022-08-19T10:28:36Z","snapshot_observed_at":"2026-07-06T13:43:24.414398Z","submitted_at":"2022-08-19T10:28:36Z","title":"Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.09257","snapshot_observed_at":"2026-08-06T17:49:25.322233Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.09924","last_updated":"2025-07-14T05:04:32Z","snapshot_observed_at":"2026-08-06T17:41:34.742885Z","submitted_at":"2025-07-14T05:04:32Z","title":"MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-06T17:49:25.322233Z"},"links":{"cited_paper":"/paper/2208.09257","citing_paper":"/paper/2507.09924"},"observation_digest":"sha256:4c3f83cdff1805818b113ba06889c577e76f6e7126f3bc8950462b461fdcc19b","observation_id":"09f3631b-0785-4096-88c9-e5fa7fcba2dd","resolution":{"observed_at":"2026-08-06T17:49:25.322233Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.09257","last_updated":"2022-08-19T10:28:36Z","snapshot_observed_at":"2026-07-06T13:43:24.414398Z","submitted_at":"2022-08-19T10:28:36Z","title":"Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer","version":1},"cited_work":{"arxiv_id":"2208.09257","doi":"10.48550/arxiv.2208.09257","metadata_source":"arxiv_reference","pith_arxiv_id":"2208.09257","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InProceedings of the 62nd Annual Meeting of the Association for Compu- tational Linguistics (Volume 3: System Demonstra- tions), Bangkok, Thailand","venue":"arXiv (Cornell University)","work_id":"565cf363-22ed-4355-b598-b44137ee508b","year":2022},"citing_paper":{"arxiv_id":"2602.23978","last_updated":"2026-04-28T11:08:55Z","snapshot_observed_at":"2026-07-06T22:47:19.784697Z","submitted_at":"2026-02-27T12:39:38Z","title":"Towards Efficient and Generalizable Retrieval: Adaptive Semantic Quantization and Residual Knowledge Transfer","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-15T18:58:29.985859Z"},"links":{"cited_paper":"/paper/2208.09257","citing_paper":"/paper/2602.23978"},"observation_digest":"sha256:5c34b576c4898059606a249b1c8c14f3a15d0b7ea5f3711f8e1a0977739c71b7","observation_id":"0d9fb4c9-2573-421b-8868-f98407cca1d2","resolution":{"observed_at":"2026-05-15T19:00:15.557180Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2208.09257","last_updated":"2022-08-19T10:28:36Z","snapshot_observed_at":"2026-07-06T13:43:24.414398Z","submitted_at":"2022-08-19T10:28:36Z","title":"Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer","version":1},"cited_work":{"arxiv_id":"2208.09257","doi":"10.48550/arxiv.2208.09257","metadata_source":"arxiv_reference","pith_arxiv_id":"2208.09257","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InProceedings of the 62nd Annual Meeting of the Association for Compu- tational Linguistics (Volume 3: System Demonstra- tions), Bangkok, Thailand","venue":"arXiv (Cornell University)","work_id":"565cf363-22ed-4355-b598-b44137ee508b","year":2022},"citing_paper":{"arxiv_id":"2603.02773","last_updated":"2026-05-11T06:29:47Z","snapshot_observed_at":"2026-08-02T05:52:00.993304Z","submitted_at":"2026-03-03T09:13:38Z","title":"Model Editing for New Document Integration in Generative Information Retrieval","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-15T17:32:13.506070Z"},"links":{"cited_paper":"/paper/2208.09257","citing_paper":"/paper/2603.02773"},"observation_digest":"sha256:454dbc6dfe305d6d03c8a06871be5fae69ff5687789ad00414788dac80b92b38","observation_id":"a4b37120-5819-4cfe-a5a6-00486b1b2973","resolution":{"observed_at":"2026-05-15T17:36:23.001832Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2208.09257","last_updated":"2022-08-19T10:28:36Z","snapshot_observed_at":"2026-07-06T13:43:24.414398Z","submitted_at":"2022-08-19T10:28:36Z","title":"Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer","version":1},"cited_work":{"arxiv_id":"2208.09257","doi":"10.48550/arxiv.2208.09257","metadata_source":"arxiv_reference","pith_arxiv_id":"2208.09257","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InProceedings of the 62nd Annual Meeting of the Association for Compu- tational Linguistics (Volume 3: System Demonstra- tions), Bangkok, Thailand","venue":"arXiv (Cornell University)","work_id":"565cf363-22ed-4355-b598-b44137ee508b","year":2022},"citing_paper":{"arxiv_id":"2604.23388","last_updated":"2026-04-25T17:38:51Z","snapshot_observed_at":"2026-07-06T23:09:38.799345Z","submitted_at":"2026-04-25T17:38:51Z","title":"A Parametric Memory Head for Continual Generative Retrieval","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-08T07:17:36.002595Z"},"links":{"cited_paper":"/paper/2208.09257","citing_paper":"/paper/2604.23388"},"observation_digest":"sha256:ac42e92e65397e20542a9151686eff7be5e8434ce7d05da27501c53f70d2225e","observation_id":"b9e331b3-6009-403f-97d8-70075147bce3","resolution":{"observed_at":"2026-05-11T21:01:13.418243Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2208.09257","last_updated":"2022-08-19T10:28:36Z","snapshot_observed_at":"2026-07-06T13:43:24.414398Z","submitted_at":"2022-08-19T10:28:36Z","title":"Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer","version":1},"cited_work":{"arxiv_id":"2208.09257","doi":"10.48550/arxiv.2208.09257","metadata_source":"arxiv_reference","pith_arxiv_id":"2208.09257","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InProceedings of the 62nd Annual Meeting of the Association for Compu- tational Linguistics (Volume 3: System Demonstra- tions), Bangkok, Thailand","venue":"arXiv (Cornell University)","work_id":"565cf363-22ed-4355-b598-b44137ee508b","year":2022},"citing_paper":{"arxiv_id":"2604.23396","last_updated":"2026-04-25T17:58:15Z","snapshot_observed_at":"2026-08-02T23:57:54.344932Z","submitted_at":"2026-04-25T17:58:15Z","title":"Lost in Decoding? Reproducing and Stress-Testing the Look-Ahead Prior in Generative Retrieval","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-08T07:29:33.327173Z"},"links":{"cited_paper":"/paper/2208.09257","citing_paper":"/paper/2604.23396"},"observation_digest":"sha256:9130593f41d9693cd41dfb9e3454b78420d456902078b125aea87743931a6031","observation_id":"9753ee0d-066d-4901-a63f-efdcc297b52c","resolution":{"observed_at":"2026-05-11T21:01:11.237109Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2208.09257","last_updated":"2022-08-19T10:28:36Z","snapshot_observed_at":"2026-07-06T13:43:24.414398Z","submitted_at":"2022-08-19T10:28:36Z","title":"Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer","version":1},"cited_work":{"arxiv_id":"2208.09257","doi":"10.48550/arxiv.2208.09257","metadata_source":"arxiv_reference","pith_arxiv_id":"2208.09257","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InProceedings of the 62nd Annual Meeting of the Association for Compu- tational Linguistics (Volume 3: System Demonstra- tions), Bangkok, Thailand","venue":"arXiv (Cornell University)","work_id":"565cf363-22ed-4355-b598-b44137ee508b","year":2022},"citing_paper":{"arxiv_id":"2605.22358","last_updated":"2026-05-21T11:48:35Z","snapshot_observed_at":"2026-07-06T23:32:39.761431Z","submitted_at":"2026-05-21T11:48:35Z","title":"Integrating Chain-of-Thought into Generative Retrieval: A Preliminary Study","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-22T03:40:23.783678Z"},"links":{"cited_paper":"/paper/2208.09257","citing_paper":"/paper/2605.22358"},"observation_digest":"sha256:169b0b2ad6c6ad12bc721a2368e19f6b3ef6bac5081dbd7886c2cdeb0f8b129e","observation_id":"9b8cb0a5-3621-448d-8047-ec7c844e57ee","resolution":{"observed_at":"2026-05-22T03:41:00.136400Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2208.09257","last_updated":"2022-08-19T10:28:36Z","snapshot_observed_at":"2026-07-06T13:43:24.414398Z","submitted_at":"2022-08-19T10:28:36Z","title":"Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer","version":1},"cited_work":{"arxiv_id":"2208.09257","doi":"10.48550/arxiv.2208.09257","metadata_source":"arxiv_reference","pith_arxiv_id":"2208.09257","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InProceedings of the 62nd Annual Meeting of the Association for Compu- tational Linguistics (Volume 3: System Demonstra- tions), Bangkok, Thailand","venue":"arXiv (Cornell University)","work_id":"565cf363-22ed-4355-b598-b44137ee508b","year":2022},"citing_paper":{"arxiv_id":"2606.07075","last_updated":"2026-06-10T07:02:50Z","snapshot_observed_at":"2026-07-06T23:46:46.925980Z","submitted_at":"2026-06-05T09:12:54Z","title":"Beyond Matching: Category-Guided Latent Intent Reasoning for Generative Retrieval in E-Commerce","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-06-27T20:50:16.765453Z"},"links":{"cited_paper":"/paper/2208.09257","citing_paper":"/paper/2606.07075"},"observation_digest":"sha256:7a455b449daf4165b3d4da2c6fd072e1a28859c01fdba3e0979f4a79910ead1f","observation_id":"f555be6c-2de1-416e-b5d9-64494b188a61","resolution":{"observed_at":"2026-07-02T20:17:21.277503Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2208.09257","last_updated":"2022-08-19T10:28:36Z","snapshot_observed_at":"2026-07-06T13:43:24.414398Z","submitted_at":"2022-08-19T10:28:36Z","title":"Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer","version":1},"cited_work":{"arxiv_id":"2208.09257","doi":"10.48550/arxiv.2208.09257","metadata_source":"arxiv_reference","pith_arxiv_id":"2208.09257","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InProceedings of the 62nd Annual Meeting of the Association for Compu- tational Linguistics (Volume 3: System Demonstra- tions), Bangkok, Thailand","venue":"arXiv (Cornell University)","work_id":"565cf363-22ed-4355-b598-b44137ee508b","year":2022},"citing_paper":{"arxiv_id":"2606.17721","last_updated":"2026-06-16T09:35:36Z","snapshot_observed_at":"2026-08-06T15:05:05.046107Z","submitted_at":"2026-06-16T09:35:36Z","title":"Understanding and Debugging Failures in N-Gram-Based Generative Retrieval","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-26T22:43:03.892738Z"},"links":{"cited_paper":"/paper/2208.09257","citing_paper":"/paper/2606.17721"},"observation_digest":"sha256:d006156f5ecff49e78e0256bc7e0059f09dc59253b48f62ea173828b12513631","observation_id":"c30d37f9-e131-4317-9396-7a471fd4d1c6","resolution":{"observed_at":"2026-07-03T23:19:03.292833Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2208.09257","last_updated":"2022-08-19T10:28:36Z","snapshot_observed_at":"2026-07-06T13:43:24.414398Z","submitted_at":"2022-08-19T10:28:36Z","title":"Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.09257","snapshot_observed_at":"2026-07-14T07:01:16.620100Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.11109","last_updated":"2026-07-13T05:38:50Z","snapshot_observed_at":"2026-07-30T00:52:06.341408Z","submitted_at":"2026-07-13T05:38:50Z","title":"Generative Chinese Statute Retrieval","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-14T07:01:16.620100Z"},"links":{"cited_paper":"/paper/2208.09257","citing_paper":"/paper/2607.11109"},"observation_digest":"sha256:82a0e05bc215fdca6d170f8a8f87ad1a0e59f880b28d41a8f68bf2f1b7ee5684","observation_id":"5fb01a2b-7da8-4ced-ad2f-9b1180af23ec","resolution":{"observed_at":"2026-07-14T07:01:16.620100Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.09257","last_updated":"2022-08-19T10:28:36Z","snapshot_observed_at":"2026-07-06T13:43:24.414398Z","submitted_at":"2022-08-19T10:28:36Z","title":"Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.09257","snapshot_observed_at":"2026-08-06T00:42:54.775297Z","title":"arXiv:2208.09257","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.03150","last_updated":"2026-08-04T05:29:02Z","snapshot_observed_at":"2026-08-07T07:23:49.632336Z","submitted_at":"2026-08-04T05:29:02Z","title":"UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T00:42:54.775297Z"},"links":{"cited_paper":"/paper/2208.09257","citing_paper":"/paper/2608.03150"},"observation_digest":"sha256:10edb3a91cf501deed4f88169b602e4384dfdc89a432105dea429cf3c16372c8","observation_id":"82b71064-608c-43de-a650-ddb61687bcd6","resolution":{"observed_at":"2026-08-06T00:42:54.775297Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2208.09257/citation-record","integrity":"/paper/2208.09257/integrity","json":"/paper/2208.09257/citation-record.json","paper":"/paper/2208.09257"},"outbound":[],"paper":{"arxiv_id":"2208.09257","last_updated":"2022-08-19T10:28:36Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-07-06T13:43:24.414398Z","submitted_at":"2022-08-19T10:28:36Z","title":"Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer"},"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":"2026-08-07T06:34:17.273281+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 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2208.09257."}