{"as_of":"2026-08-21T04:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:02eca7020c499ced7a3a05d46d6a1605fba1104ab2b4289ef2392077de87fe3b","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T19:34:17.602228Z","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":"2026-05-21T23:35:46.439303Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.14259","last_updated":"2025-06-11T17:09:58Z","snapshot_observed_at":"2026-08-20T18:26:51.818821Z","submitted_at":"2024-05-23T07:39:42Z","title":"Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Robust and Instruction-Aware ASR and OCR","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14259","snapshot_observed_at":"2026-08-11T19:34:17.602228Z","title":"Let’s fuse step by step: A generative fusion decoding algorithm with LLMs for multi-modal text recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.06619","last_updated":"2024-12-09T16:13:17Z","snapshot_observed_at":"2026-08-17T14:04:55.885902Z","submitted_at":"2024-12-09T16:13:17Z","title":"Copyright-Protected Language Generation via Adaptive Model Fusion","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T19:34:17.602228Z"},"links":{"cited_paper":"/paper/2405.14259","citing_paper":"/paper/2412.06619"},"observation_digest":"sha256:f4c68dc90c3bf52555bd57cdf05872fb7e34206816025bce276fd06382621e6c","observation_id":"c4a4549c-fe41-4d22-a45f-ea34dc992f49","resolution":{"observed_at":"2026-08-11T19:34:17.602228Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14259","last_updated":"2025-06-11T17:09:58Z","snapshot_observed_at":"2026-08-20T18:26:51.818821Z","submitted_at":"2024-05-23T07:39:42Z","title":"Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Robust and Instruction-Aware ASR and OCR","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14259","snapshot_observed_at":"2026-08-10T04:37:29.057256Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.17790","last_updated":"2025-01-29T17:31:26Z","snapshot_observed_at":"2026-08-19T11:44:24.722195Z","submitted_at":"2025-01-29T17:31:26Z","title":"BreezyVoice: Adapting TTS for Taiwanese Mandarin with Enhanced Polyphone Disambiguation -- Challenges and Insights","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T04:37:29.057256Z"},"links":{"cited_paper":"/paper/2405.14259","citing_paper":"/paper/2501.17790"},"observation_digest":"sha256:f66f5b49c282fa0861e65df2bdcdb0e3c6ed6ebd4a2421fe831107d9b938efc5","observation_id":"444f1505-8c6f-4f9e-87f6-413c11ccd4c5","resolution":{"observed_at":"2026-08-10T04:37:29.057256Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14259","last_updated":"2025-06-11T17:09:58Z","snapshot_observed_at":"2026-08-20T18:26:51.818821Z","submitted_at":"2024-05-23T07:39:42Z","title":"Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Robust and Instruction-Aware ASR and OCR","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14259","snapshot_observed_at":"2026-08-07T13:17:57.992010Z","title":"Let’s fuse step by step: A generative fusion decoding algorithm with llms for multi-modal text recog- nition,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22251","last_updated":"2025-06-05T10:40:05Z","snapshot_observed_at":"2026-08-12T13:13:08.532263Z","submitted_at":"2025-05-28T11:39:59Z","title":"Evaluation of LLMs in Speech is Often Flawed: Test Set Contamination in Large Language Models for Speech Recognition","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T13:17:57.992010Z"},"links":{"cited_paper":"/paper/2405.14259","citing_paper":"/paper/2505.22251"},"observation_digest":"sha256:1e2aafb1304f98dfb2aea09d1a94345306bdb0735fdfa8d2013308cefbbcc9fc","observation_id":"a97d9d19-e543-44ee-8123-a8ea3890fc73","resolution":{"observed_at":"2026-08-07T13:17:57.992010Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14259","last_updated":"2025-06-11T17:09:58Z","snapshot_observed_at":"2026-08-20T18:26:51.818821Z","submitted_at":"2024-05-23T07:39:42Z","title":"Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Robust and Instruction-Aware ASR and OCR","version":4},"cited_work":{"arxiv_id":"2405.14259","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.14259","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Let’s fuse step by step: A generative fusion decoding algorithm with llms for multi-modal text recognition","venue":null,"work_id":"405d1048-8b83-4ba8-9cb8-a35e68fcd6e7","year":2024},"citing_paper":{"arxiv_id":"2508.07285","last_updated":"2026-05-19T14:44:40Z","snapshot_observed_at":"2026-08-05T00:29:45.624756Z","submitted_at":"2025-08-10T10:46:14Z","title":"Non-Intrusive Automatic Speech Recognition Refinement: A Survey","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-21T23:34:52.249143Z"},"links":{"cited_paper":"/paper/2405.14259","citing_paper":"/paper/2508.07285"},"observation_digest":"sha256:e478ec6fd859ac6711e473df6eb9c250adf5c76dcdf0b05439c1993f40155c05","observation_id":"37a4f2b4-144e-4e7b-8614-6b3a5965c363","resolution":{"observed_at":"2026-05-21T23:35:46.441327Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.14259/citation-record","integrity":"/paper/2405.14259/integrity","json":"/paper/2405.14259/citation-record.json","paper":"/paper/2405.14259"},"outbound":[],"paper":{"arxiv_id":"2405.14259","last_updated":"2025-06-11T17:09:58Z","latest_version":4,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-20T18:26:51.818821Z","submitted_at":"2024-05-23T07:39:42Z","title":"Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Robust and Instruction-Aware ASR and OCR"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.14259."}