{"as_of":"2026-08-06T15:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:724a3c222321f31e40e92ee310b12120f811c088854eaadc684ce000df9022ee","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":"2026-08-06T06:34:29.942622+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":"2026-08-04T11:29:30.772401Z","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":"2026-07-03T13:18:12.775752Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.15649","last_updated":"2024-12-20T08:05:55Z","snapshot_observed_at":"2026-08-03T16:28:18.429985Z","submitted_at":"2024-12-20T08:05:55Z","title":"SLAM-Omni: Timbre-Controllable Voice Interaction System with Single-Stage Training","version":1},"cited_work":{"arxiv_id":"2412.15649","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.15649","snapshot_observed_at":"2026-07-03T13:18:12.775752Z","title":"Neural codec language models are zero-shot text to speech synthesizers.IEEE Trans","venue":null,"work_id":"b2635e75-8cc6-43df-8272-3a99fb705ce2","year":2024},"citing_paper":{"arxiv_id":"2504.08528","last_updated":"2026-04-07T06:11:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-11T13:40:53Z","title":"On The Landscape of Spoken Language Models: A Comprehensive Survey","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-22T20:44:57.476464Z"},"links":{"cited_paper":"/paper/2412.15649","citing_paper":"/paper/2504.08528"},"observation_digest":"sha256:1484cda1938338a3db2c59a9e5445aa06cd9f5fef9f557325a9b158fd8286394","observation_id":"370d4204-988e-4b50-a439-f59ff1b8a613","resolution":{"observed_at":"2026-05-22T20:45:08.035913Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15649","last_updated":"2024-12-20T08:05:55Z","snapshot_observed_at":"2026-08-03T16:28:18.429985Z","submitted_at":"2024-12-20T08:05:55Z","title":"SLAM-Omni: Timbre-Controllable Voice Interaction System with Single-Stage Training","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15649","snapshot_observed_at":"2026-08-04T11:29:30.772401Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.04593","last_updated":"2026-06-08T05:49:30Z","snapshot_observed_at":"2026-08-06T08:55:28.794308Z","submitted_at":"2025-10-06T08:47:38Z","title":"UniVoice: Unifying Autoregressive ASR and Flow-Matching based TTS with Large Language Models","version":3},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-04T11:29:30.772401Z"},"links":{"cited_paper":"/paper/2412.15649","citing_paper":"/paper/2510.04593"},"observation_digest":"sha256:e3ad98c3410117218f37383459fbd92fcdd37298b1f12d120d73c1eac4c42173","observation_id":"81f83c4b-45f8-43b8-9d37-016b0153cecf","resolution":{"observed_at":"2026-08-04T11:29:30.772401Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15649","last_updated":"2024-12-20T08:05:55Z","snapshot_observed_at":"2026-08-03T16:28:18.429985Z","submitted_at":"2024-12-20T08:05:55Z","title":"SLAM-Omni: Timbre-Controllable Voice Interaction System with Single-Stage Training","version":1},"cited_work":{"arxiv_id":"2412.15649","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.15649","snapshot_observed_at":"2026-07-03T13:18:12.775752Z","title":"Neural codec language models are zero-shot text to speech synthesizers.IEEE Trans","venue":null,"work_id":"b2635e75-8cc6-43df-8272-3a99fb705ce2","year":2024},"citing_paper":{"arxiv_id":"2604.13804","last_updated":"2026-04-15T12:39:03Z","snapshot_observed_at":"2026-07-06T23:01:41.643335Z","submitted_at":"2026-04-15T12:39:03Z","title":"Character Beyond Speech: Leveraging Role-Playing Evaluation in Audio Large Language Models via Reinforcement Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T14:22:25.660785Z"},"links":{"cited_paper":"/paper/2412.15649","citing_paper":"/paper/2604.13804"},"observation_digest":"sha256:aee740770341219257cc6b41df75790308616840e50940f6af1a249c70e36573","observation_id":"619f1271-d061-4ea1-9907-7f6fc93723ca","resolution":{"observed_at":"2026-05-10T14:25:30.001718Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15649","last_updated":"2024-12-20T08:05:55Z","snapshot_observed_at":"2026-08-03T16:28:18.429985Z","submitted_at":"2024-12-20T08:05:55Z","title":"SLAM-Omni: Timbre-Controllable Voice Interaction System with Single-Stage Training","version":1},"cited_work":{"arxiv_id":"2412.15649","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.15649","snapshot_observed_at":"2026-07-03T13:18:12.775752Z","title":"Neural codec language models are zero-shot text to speech synthesizers.IEEE Trans","venue":null,"work_id":"b2635e75-8cc6-43df-8272-3a99fb705ce2","year":2024},"citing_paper":{"arxiv_id":"2605.06765","last_updated":"2026-05-07T17:59:56Z","snapshot_observed_at":"2026-08-02T05:36:23.979419Z","submitted_at":"2026-05-07T17:59:56Z","title":"VITA-QinYu: Expressive Spoken Language Model for Role-Playing and Singing","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-05-11T01:03:09.942984Z"},"links":{"cited_paper":"/paper/2412.15649","citing_paper":"/paper/2605.06765"},"observation_digest":"sha256:91494850b35da44f1f2e22470ad94150ecd9ab2a538c3ebdece24cb5201efb3f","observation_id":"9cb079e0-7989-4bc5-bb9d-7dc195febb24","resolution":{"observed_at":"2026-05-11T04:50:56.237941Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15649","last_updated":"2024-12-20T08:05:55Z","snapshot_observed_at":"2026-08-03T16:28:18.429985Z","submitted_at":"2024-12-20T08:05:55Z","title":"SLAM-Omni: Timbre-Controllable Voice Interaction System with Single-Stage Training","version":1},"cited_work":{"arxiv_id":"2412.15649","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.15649","snapshot_observed_at":"2026-07-03T13:18:12.775752Z","title":"Neural codec language models are zero-shot text to speech synthesizers.IEEE Trans","venue":null,"work_id":"b2635e75-8cc6-43df-8272-3a99fb705ce2","year":2024},"citing_paper":{"arxiv_id":"2606.12199","last_updated":"2026-06-10T15:19:15Z","snapshot_observed_at":"2026-07-06T23:51:07.629939Z","submitted_at":"2026-06-10T15:19:15Z","title":"Which Speech Representation Better Matches Text-Native Reasoning? A Study of Speech-Text Alignment on Frame Rate and Representation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-27T08:18:23.182355Z"},"links":{"cited_paper":"/paper/2412.15649","citing_paper":"/paper/2606.12199"},"observation_digest":"sha256:2218d660cb6bd2e183c03b8a7860e0d992767567bc5cf280704c748022e2dce0","observation_id":"babbd305-f199-4614-9712-658ef4f26b97","resolution":{"observed_at":"2026-07-03T13:18:12.777326Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15649","last_updated":"2024-12-20T08:05:55Z","snapshot_observed_at":"2026-08-03T16:28:18.429985Z","submitted_at":"2024-12-20T08:05:55Z","title":"SLAM-Omni: Timbre-Controllable Voice Interaction System with Single-Stage Training","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15649","snapshot_observed_at":"2026-08-01T07:12:08.148931Z","title":"arXiv preprint arXiv:2412.15649 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21550","last_updated":"2026-07-23T17:35:20Z","snapshot_observed_at":"2026-08-03T11:55:30.881091Z","submitted_at":"2026-07-23T17:35:20Z","title":"X$^3$-OPD: Distilling Reasoning into Large Audio-Language Models via On-Policy Alignment","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-01T07:12:08.148931Z"},"links":{"cited_paper":"/paper/2412.15649","citing_paper":"/paper/2607.21550"},"observation_digest":"sha256:5a6706bdfaddcfcf9b9643dfa492f2e9a25d5e7a6bec6fe83f938eec3e496b3c","observation_id":"46fb2046-e84d-4c07-840c-83b750e7cd33","resolution":{"observed_at":"2026-08-01T07:12:08.148931Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2412.15649/citation-record","integrity":"/paper/2412.15649/integrity","json":"/paper/2412.15649/citation-record.json","paper":"/paper/2412.15649"},"outbound":[],"paper":{"arxiv_id":"2412.15649","last_updated":"2024-12-20T08:05:55Z","latest_version":1,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-03T16:28:18.429985Z","submitted_at":"2024-12-20T08:05:55Z","title":"SLAM-Omni: Timbre-Controllable Voice Interaction System with Single-Stage Training"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2412.15649."}