{"as_of":"2026-08-08T18:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4f774a37471e90f5dc2214a30d0a9e153c43b97109f6441d272d4195ab041d27","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:42:11.938749Z","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":"2026-05-21T22:24:23.547900Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.17607","last_updated":"2024-12-02T16:13:24Z","snapshot_observed_at":"2026-08-07T11:31:39.220259Z","submitted_at":"2024-11-26T17:19:09Z","title":"Scaling Speech-Text Pre-training with Synthetic Interleaved Data","version":2},"cited_work":{"arxiv_id":"2411.17607","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.17607","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Scaling speech-text pre-training with synthetic interleaved data","venue":null,"work_id":"e7e7d3fc-6674-4e8e-83bf-0ffda7823740","year":2024},"citing_paper":{"arxiv_id":"2412.02612","last_updated":"2024-12-03T17:41:24Z","snapshot_observed_at":"2026-08-02T21:27:26.884251Z","submitted_at":"2024-12-03T17:41:24Z","title":"GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-16T03:53:47.396742Z"},"links":{"cited_paper":"/paper/2411.17607","citing_paper":"/paper/2412.02612"},"observation_digest":"sha256:5c5f8fd8a584611a8c3944318e077cfdd7b18cb941d7156a41999ca969de2a75","observation_id":"140afabd-8852-45ff-b4fd-3259ed7362f6","resolution":{"observed_at":"2026-05-16T03:53:47.541943Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17607","last_updated":"2024-12-02T16:13:24Z","snapshot_observed_at":"2026-08-07T11:31:39.220259Z","submitted_at":"2024-11-26T17:19:09Z","title":"Scaling Speech-Text Pre-training with Synthetic Interleaved Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17607","snapshot_observed_at":"2026-08-07T15:42:11.938749Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14235","last_updated":"2025-05-20T11:42:26Z","snapshot_observed_at":"2026-08-07T15:35:48.184634Z","submitted_at":"2025-05-20T11:42:26Z","title":"Toward Embodied AGI: A Review of Embodied AI and the Road Ahead","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-07T15:42:11.938749Z"},"links":{"cited_paper":"/paper/2411.17607","citing_paper":"/paper/2505.14235"},"observation_digest":"sha256:b8e38a3b1123734b6ee3550167a19c819dfa0af5e70d7c182e014082267558e5","observation_id":"c9846039-a5d1-4d8a-aa80-e398cb835849","resolution":{"observed_at":"2026-08-07T15:42:11.938749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17607","last_updated":"2024-12-02T16:13:24Z","snapshot_observed_at":"2026-08-07T11:31:39.220259Z","submitted_at":"2024-11-26T17:19:09Z","title":"Scaling Speech-Text Pre-training with Synthetic Interleaved Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17607","snapshot_observed_at":"2026-08-07T15:36:44.886879Z","title":"Scaling speech-text pre-training with synthetic interleaved data,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14470","last_updated":"2025-06-04T08:23:18Z","snapshot_observed_at":"2026-08-07T18:35:24.185731Z","submitted_at":"2025-05-20T15:05:14Z","title":"PAST: Phonetic-Acoustic Speech Tokenizer","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T15:36:44.886879Z"},"links":{"cited_paper":"/paper/2411.17607","citing_paper":"/paper/2505.14470"},"observation_digest":"sha256:68b218063a636566be64dd9be86e326dc32660c9b914ba945b8f6fa80d76a179","observation_id":"35126764-2f60-4e9d-8e58-84d1b7e60eeb","resolution":{"observed_at":"2026-08-07T15:36:44.886879Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17607","last_updated":"2024-12-02T16:13:24Z","snapshot_observed_at":"2026-08-07T11:31:39.220259Z","submitted_at":"2024-11-26T17:19:09Z","title":"Scaling Speech-Text Pre-training with Synthetic Interleaved Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17607","snapshot_observed_at":"2026-08-07T14:30:32.280525Z","title":"Scaling speech-text pre-training with synthetic interleaved data,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18644","last_updated":"2025-05-24T11:09:13Z","snapshot_observed_at":"2026-08-07T23:23:05.928955Z","submitted_at":"2025-05-24T11:09:13Z","title":"Enhancing Generalization of Speech Large Language Models with Multi-Task Behavior Imitation and Speech-Text Interleaving","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:32.280525Z"},"links":{"cited_paper":"/paper/2411.17607","citing_paper":"/paper/2505.18644"},"observation_digest":"sha256:755e4e436967a3fc6e1a4e51c018073058f189c5edcbe9c2d77396ec2ebec2c0","observation_id":"85c9fb60-1c6d-4d7c-b3dc-f1d49cfd4c94","resolution":{"observed_at":"2026-08-07T14:30:32.280525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17607","last_updated":"2024-12-02T16:13:24Z","snapshot_observed_at":"2026-08-07T11:31:39.220259Z","submitted_at":"2024-11-26T17:19:09Z","title":"Scaling Speech-Text Pre-training with Synthetic Interleaved Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17607","snapshot_observed_at":"2026-08-07T11:37:29.578574Z","title":"Scaling speech-text pre-training with synthetic interleaved data","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01934","last_updated":"2025-06-02T17:53:10Z","snapshot_observed_at":"2026-08-08T01:25:27.640818Z","submitted_at":"2025-06-02T17:53:10Z","title":"RoboEgo System Card: An Omnimodal Model with Native Full Duplexity","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:29.578574Z"},"links":{"cited_paper":"/paper/2411.17607","citing_paper":"/paper/2506.01934"},"observation_digest":"sha256:497c2bf69d24cf400bcc76aafcf25684979d4d53d13153c36c84fdbc120bcd5e","observation_id":"15c2a814-dcf7-46ae-8d30-826439d4d860","resolution":{"observed_at":"2026-08-07T11:37:29.578574Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17607","last_updated":"2024-12-02T16:13:24Z","snapshot_observed_at":"2026-08-07T11:31:39.220259Z","submitted_at":"2024-11-26T17:19:09Z","title":"Scaling Speech-Text Pre-training with Synthetic Interleaved Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17607","snapshot_observed_at":"2026-08-07T00:33:19.582482Z","title":"Scaling speech-text pre-training with synthetic interleaved data, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13642","last_updated":"2025-06-22T07:56:58Z","snapshot_observed_at":"2026-08-07T00:26:15.640270Z","submitted_at":"2025-06-16T16:06:45Z","title":"Stream-Omni: Simultaneous Multimodal Interactions with Large Language-Vision-Speech Model","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-07T00:33:19.582482Z"},"links":{"cited_paper":"/paper/2411.17607","citing_paper":"/paper/2506.13642"},"observation_digest":"sha256:66cee74e9ef9c6aba3d985db08d0cf24529ffb9ed2a1b0605f5cc920d49fc9e7","observation_id":"7d2c1a34-e4c4-48c0-b0cf-f4ee13d27e4e","resolution":{"observed_at":"2026-08-07T00:33:19.582482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17607","last_updated":"2024-12-02T16:13:24Z","snapshot_observed_at":"2026-08-07T11:31:39.220259Z","submitted_at":"2024-11-26T17:19:09Z","title":"Scaling Speech-Text Pre-training with Synthetic Interleaved Data","version":2},"cited_work":{"arxiv_id":"2411.17607","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.17607","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Scaling speech-text pre-training with synthetic interleaved data","venue":null,"work_id":"e7e7d3fc-6674-4e8e-83bf-0ffda7823740","year":2024},"citing_paper":{"arxiv_id":"2509.03526","last_updated":"2026-05-20T03:07:46Z","snapshot_observed_at":"2026-08-07T01:53:38.136292Z","submitted_at":"2025-08-25T07:31:48Z","title":"Enhancing Speech Large Language Models through Reinforced Behavior Alignment","version":2},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-05-21T22:23:52.392075Z"},"links":{"cited_paper":"/paper/2411.17607","citing_paper":"/paper/2509.03526"},"observation_digest":"sha256:7699a6f582f0ed8849180fa1c3667cfe894a5f6e114308e1c3a17cff35b6da6c","observation_id":"0874e79c-a50c-41b4-ba8c-1b0acaada258","resolution":{"observed_at":"2026-05-21T22:24:23.549616Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17607","last_updated":"2024-12-02T16:13:24Z","snapshot_observed_at":"2026-08-07T11:31:39.220259Z","submitted_at":"2024-11-26T17:19:09Z","title":"Scaling Speech-Text Pre-training with Synthetic Interleaved Data","version":2},"cited_work":{"arxiv_id":"2411.17607","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.17607","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Scaling speech-text pre-training with synthetic interleaved data","venue":null,"work_id":"e7e7d3fc-6674-4e8e-83bf-0ffda7823740","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":50,"source":"arxiv_source","source_observed_at":"2026-05-11T01:03:09.942984Z"},"links":{"cited_paper":"/paper/2411.17607","citing_paper":"/paper/2605.06765"},"observation_digest":"sha256:f43cf0bdffe93f219ef904ab1a361662631c6aab71641cf3375271611cb76894","observation_id":"2ff66e85-2df4-40b8-b382-0522bb3ed583","resolution":{"observed_at":"2026-05-11T04:50:55.789988Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.17607/citation-record","integrity":"/paper/2411.17607/integrity","json":"/paper/2411.17607/citation-record.json","paper":"/paper/2411.17607"},"outbound":[],"paper":{"arxiv_id":"2411.17607","last_updated":"2024-12-02T16:13:24Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T11:31:39.220259Z","submitted_at":"2024-11-26T17:19:09Z","title":"Scaling Speech-Text Pre-training with Synthetic Interleaved Data"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2411.17607."}