{"as_of":"2026-08-16T18:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a15b2a24634cd69773d4f17c5c5aaf3495cc7882b8ddeb9c0892e71e6b0e205b","coverage":[{"denominator":9,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:57:12.614533Z","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":"2026-08-16T06:30:59.297886+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/2506.12473/citation-record","integrity":"/paper/2506.12473/integrity","json":"/paper/2506.12473/citation-record.json","paper":"/paper/2506.12473"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:57:12.749667Z","title":null,"venue":null,"work_id":"ad0c74cd-4210-42a1-a738-1697ba6fc511","year":null},"citing_paper":{"arxiv_id":"2506.12473","last_updated":"2025-06-14T12:17:47Z","snapshot_observed_at":"2026-08-09T22:22:03.052266Z","submitted_at":"2025-06-14T12:17:47Z","title":"TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T00:57:12.606481Z"},"links":{"citing_paper":"/paper/2506.12473"},"observation_digest":"sha256:30359575d8f6238646be7c17adb4fd0cd4c089e78c6cd30f15498b37bdaa17d9","observation_id":"4ea12888-8b1c-4133-81c4-090ac0bd96bc","resolution":{"observed_at":"2026-08-07T00:57:12.753939Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-07T00:57:12.732299Z","title":null,"venue":null,"work_id":"63107629-1605-41f1-93fb-16ecf6e61179","year":null},"citing_paper":{"arxiv_id":"2506.12473","last_updated":"2025-06-14T12:17:47Z","snapshot_observed_at":"2026-08-09T22:22:03.052266Z","submitted_at":"2025-06-14T12:17:47Z","title":"TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T00:57:12.610496Z"},"links":{"citing_paper":"/paper/2506.12473"},"observation_digest":"sha256:ce87638cb9a3613f479a02f9f279dd892631d56bb74dfa46e6f2302b136e6ab4","observation_id":"9546a0ed-9a6f-4286-997f-bcc1afd08754","resolution":{"observed_at":"2026-08-07T00:57:12.736961Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-07T00:57:12.712568Z","title":"One-Stop Website Solutions","venue":null,"work_id":"1c901410-9caa-456b-8ced-89a73474711d","year":null},"citing_paper":{"arxiv_id":"2506.12473","last_updated":"2025-06-14T12:17:47Z","snapshot_observed_at":"2026-08-09T22:22:03.052266Z","submitted_at":"2025-06-14T12:17:47Z","title":"TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T00:57:12.614533Z"},"links":{"citing_paper":"/paper/2506.12473"},"observation_digest":"sha256:c0ea7effa08b78082e31422001701171c8483d91be818c8b05a85719b995e6c2","observation_id":"90484f91-b45a-4cad-ba7e-52bd9a2127d6","resolution":{"observed_at":"2026-08-07T00:57:12.718977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-07T00:57:12.779124Z","title":"In Proceedings Of The 17Th Acm International Conference On Web Search And Data Mining, Wsdm 2024 , pages 606–","venue":null,"work_id":"30a2868e-0635-48ec-8d7c-1841d48a0026","year":2024},"citing_paper":{"arxiv_id":"2506.12473","last_updated":"2025-06-14T12:17:47Z","snapshot_observed_at":"2026-08-09T22:22:03.052266Z","submitted_at":"2025-06-14T12:17:47Z","title":"TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T00:57:12.590043Z"},"links":{"citing_paper":"/paper/2506.12473"},"observation_digest":"sha256:1fae5cf52789eb08fe7f617d67514d80ad5b5ff4b2111aad3ae4879dc1e63aa0","observation_id":"3d30c486-f377-4404-b503-ebdda47fe05d","resolution":{"observed_at":"2026-08-07T00:57:12.783660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-07T00:57:12.763750Z","title":"13 shows the performance of the model system across various values of θ","venue":null,"work_id":"65e58902-ed68-4058-957f-b7349528b1c0","year":null},"citing_paper":{"arxiv_id":"2506.12473","last_updated":"2025-06-14T12:17:47Z","snapshot_observed_at":"2026-08-09T22:22:03.052266Z","submitted_at":"2025-06-14T12:17:47Z","title":"TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T00:57:12.602084Z"},"links":{"citing_paper":"/paper/2506.12473"},"observation_digest":"sha256:826f43498beefac4966493c9cb6269c206a29a552d905e734d8c3ae1b84db8b6","observation_id":"62780307-41cc-488d-a367-6f2d99cbe83b","resolution":{"observed_at":"2026-08-07T00:57:12.769318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.01108","last_updated":"2020-03-01T02:57:50Z","snapshot_observed_at":"2026-08-07T19:07:36.327251Z","submitted_at":"2019-10-02T17:56:28Z","title":"DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.01108","snapshot_observed_at":"2026-08-07T00:57:12.596147Z","title":"w/ original TAGSCORER","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.12473","last_updated":"2025-06-14T12:17:47Z","snapshot_observed_at":"2026-08-09T22:22:03.052266Z","submitted_at":"2025-06-14T12:17:47Z","title":"TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks","version":1},"reference_index":615,"source":"pdf_text","source_observed_at":"2026-08-07T00:57:12.596147Z"},"links":{"cited_paper":"/paper/1910.01108","citing_paper":"/paper/2506.12473"},"observation_digest":"sha256:775f790da02ac6e0181a98f95196f56502450f5b8a052706baccc9f8101a98c3","observation_id":"d6c8539d-f248-43a1-b324-c8b9ae7e4dc2","resolution":{"observed_at":"2026-08-07T00:57:12.596147Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12031","last_updated":"2024-03-28T17:56:28Z","snapshot_observed_at":"2026-08-16T16:38:21.205977Z","submitted_at":"2024-03-18T17:59:04Z","title":"RouterBench: A Benchmark for Multi-LLM Routing System","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12031","snapshot_observed_at":"2026-08-07T00:57:12.575051Z","title":"In International Conference on Learning Representations","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.12473","last_updated":"2025-06-14T12:17:47Z","snapshot_observed_at":"2026-08-09T22:22:03.052266Z","submitted_at":"2025-06-14T12:17:47Z","title":"TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T00:57:12.575051Z"},"links":{"cited_paper":"/paper/2403.12031","citing_paper":"/paper/2506.12473"},"observation_digest":"sha256:b4968a053399c54c403a8c52b7eeaa70c60a64e95a3520d410bd4f49bbf7c46e","observation_id":"d55eae9f-a6b1-4138-9913-3736c263528d","resolution":{"observed_at":"2026-08-07T00:57:12.575051Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09212","last_updated":"2024-01-17T19:09:57Z","snapshot_observed_at":"2026-08-04T18:52:19.083847Z","submitted_at":"2023-06-15T15:49:51Z","title":"CMMLU: Measuring massive multitask language understanding in Chinese","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09212","snapshot_observed_at":"2026-08-07T00:57:12.580435Z","title":"In International Conference on Machine Learning, pages 19274–19286","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.12473","last_updated":"2025-06-14T12:17:47Z","snapshot_observed_at":"2026-08-09T22:22:03.052266Z","submitted_at":"2025-06-14T12:17:47Z","title":"TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T00:57:12.580435Z"},"links":{"cited_paper":"/paper/2306.09212","citing_paper":"/paper/2506.12473"},"observation_digest":"sha256:93aa47a07ddbfcf622a82c3b1c01517404f5f7fb6b0709b7cf54fd56bb56555e","observation_id":"bdeef8c3-5e16-4855-a367-31cc11a1a226","resolution":{"observed_at":"2026-08-07T00:57:12.580435Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.02134","last_updated":"2024-05-03T14:38:59Z","snapshot_observed_at":"2026-08-16T13:55:36.995716Z","submitted_at":"2024-05-03T14:38:59Z","title":"Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.02134","snapshot_observed_at":"2026-08-07T00:57:12.585414Z","title":"arXiv preprint arXiv:2405.02134","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.12473","last_updated":"2025-06-14T12:17:47Z","snapshot_observed_at":"2026-08-09T22:22:03.052266Z","submitted_at":"2025-06-14T12:17:47Z","title":"TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T00:57:12.585414Z"},"links":{"cited_paper":"/paper/2405.02134","citing_paper":"/paper/2506.12473"},"observation_digest":"sha256:a3a013635d87bf96f5a19ec1f5bb229edc3b2ea08becba4d294badf30a95f782","observation_id":"7f3c4008-f678-49f0-9d4d-762584648fd2","resolution":{"observed_at":"2026-08-07T00:57:12.585414Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.12473","last_updated":"2025-06-14T12:17:47Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T22:22:03.052266Z","submitted_at":"2025-06-14T12:17:47Z","title":"TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks"},"reference_resolution":{"displayed":9,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":3},"total_outbound_references":9},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2506.12473."}