{"as_of":"2026-08-14T15:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d004e8b0e815017172d4d77545adc8e1f63fda035d9a88054ea43f8c5509bdef","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T19:07:30.189935Z","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":"2026-05-16T14:48:08.726227Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.08298","last_updated":"2023-12-30T21:23:17Z","snapshot_observed_at":"2026-08-13T11:42:55.103409Z","submitted_at":"2023-05-15T01:59:58Z","title":"Symbol tuning improves in-context learning in language models","version":2},"cited_work":{"arxiv_id":"2305.08298","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.08298","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"ed3ddc9f-dd3b-4104-8787-b1326ce4d7ef","year":2023},"citing_paper":{"arxiv_id":"2308.03958","last_updated":"2024-02-15T01:03:13Z","snapshot_observed_at":"2026-08-13T15:17:00.535157Z","submitted_at":"2023-08-07T23:48:36Z","title":"Simple synthetic data reduces sycophancy in large language models","version":2},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-05-16T14:48:08.508109Z"},"links":{"cited_paper":"/paper/2305.08298","citing_paper":"/paper/2308.03958"},"observation_digest":"sha256:9200a4cd4f55094e9f39fa9fbf6c0abda05fd4d448853dadff02ba2d4b2a343e","observation_id":"7cf54401-f4f0-4986-95c2-08cefc9a2940","resolution":{"observed_at":"2026-05-16T14:48:08.728461Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.08298","last_updated":"2023-12-30T21:23:17Z","snapshot_observed_at":"2026-08-13T11:42:55.103409Z","submitted_at":"2023-05-15T01:59:58Z","title":"Symbol tuning improves in-context learning in language models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.08298","snapshot_observed_at":"2026-08-12T19:07:30.189935Z","title":"Symbol tuning improves in-context learn- ing in language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.11909","last_updated":"2024-11-22T03:34:15Z","snapshot_observed_at":"2026-08-12T23:07:05.883005Z","submitted_at":"2024-11-17T08:29:14Z","title":"SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T19:07:30.189935Z"},"links":{"cited_paper":"/paper/2305.08298","citing_paper":"/paper/2411.11909"},"observation_digest":"sha256:a93ca1a3dc9bcdc096653540ef75b9cc7526144aac8fbecacbabf18de4818f47","observation_id":"69af4266-fbc1-4a95-8cc3-37b2bc61959a","resolution":{"observed_at":"2026-08-12T19:07:30.189935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.08298","last_updated":"2023-12-30T21:23:17Z","snapshot_observed_at":"2026-08-13T11:42:55.103409Z","submitted_at":"2023-05-15T01:59:58Z","title":"Symbol tuning improves in-context learning in language models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.08298","snapshot_observed_at":"2026-08-12T17:45:31.877446Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.12307","last_updated":"2024-11-19T07:48:35Z","snapshot_observed_at":"2026-08-13T20:28:04.389177Z","submitted_at":"2024-11-19T07:48:35Z","title":"Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T17:45:31.877446Z"},"links":{"cited_paper":"/paper/2305.08298","citing_paper":"/paper/2411.12307"},"observation_digest":"sha256:ea9ad9de2031fc3a640d7138589e6b47e50ef3dd92a75d6b904831452ac0df36","observation_id":"e484e794-b2fb-473d-9cd7-6153f11c3d3b","resolution":{"observed_at":"2026-08-12T17:45:31.877446Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.08298","last_updated":"2023-12-30T21:23:17Z","snapshot_observed_at":"2026-08-13T11:42:55.103409Z","submitted_at":"2023-05-15T01:59:58Z","title":"Symbol tuning improves in-context learning in language models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.08298","snapshot_observed_at":"2026-08-11T20:29:54.126808Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.05710","last_updated":"2025-05-31T23:34:02Z","snapshot_observed_at":"2026-08-14T12:14:28.555729Z","submitted_at":"2024-12-07T17:51:31Z","title":"PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-11T20:29:54.126808Z"},"links":{"cited_paper":"/paper/2305.08298","citing_paper":"/paper/2412.05710"},"observation_digest":"sha256:154990b4efe3ff39e033c75292166330f34bdf26b4da9d67e3cea031cd797fcc","observation_id":"2c2d99e8-6dab-4dc9-9b7d-4063e89e6821","resolution":{"observed_at":"2026-08-11T20:29:54.126808Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.08298","last_updated":"2023-12-30T21:23:17Z","snapshot_observed_at":"2026-08-13T11:42:55.103409Z","submitted_at":"2023-05-15T01:59:58Z","title":"Symbol tuning improves in-context learning in language models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.08298","snapshot_observed_at":"2026-08-10T14:06:14.511941Z","title":"Symbol tuning improves in-context learning in language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.15708","last_updated":"2025-04-18T08:09:26Z","snapshot_observed_at":"2026-08-14T01:16:04.203544Z","submitted_at":"2025-01-27T00:05:12Z","title":"StaICC: Standardized Evaluation for Classification Task in In-context Learning","version":3},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-10T14:06:14.511941Z"},"links":{"cited_paper":"/paper/2305.08298","citing_paper":"/paper/2501.15708"},"observation_digest":"sha256:4b4d77321d25d0f37d1b0a889e641cecbf2417bf2b81a49a7bc6b1689c71d4a8","observation_id":"726afa35-c252-4416-8545-3765528f6b30","resolution":{"observed_at":"2026-08-10T14:06:14.511941Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.08298","last_updated":"2023-12-30T21:23:17Z","snapshot_observed_at":"2026-08-13T11:42:55.103409Z","submitted_at":"2023-05-15T01:59:58Z","title":"Symbol tuning improves in-context learning in language models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.08298","snapshot_observed_at":"2026-08-12T14:10:45.245589Z","title":"arXiv preprint arXiv:2305.08298 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-14T15:13:40.716581Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.245589Z"},"links":{"cited_paper":"/paper/2305.08298","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:843a5a30ba4fb4167c9ebfd2659d08feca32bfa2e5004b1a60c4500a5c14bd75","observation_id":"4e43b4c2-c356-4be5-8fdf-56073370dc04","resolution":{"observed_at":"2026-08-12T14:10:45.245589Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2305.08298/citation-record","integrity":"/paper/2305.08298/integrity","json":"/paper/2305.08298/citation-record.json","paper":"/paper/2305.08298"},"outbound":[],"paper":{"arxiv_id":"2305.08298","last_updated":"2023-12-30T21:23:17Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-13T11:42:55.103409Z","submitted_at":"2023-05-15T01:59:58Z","title":"Symbol tuning improves in-context learning in language models"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.08298."}