{"as_of":"2026-08-18T17:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1b5267db7dfbe1bba7ca846d9f4b7ecc52672cc0bf752b70ce60a68ca9a4a218","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T15:58:20.135186Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2411.13766/citation-record","integrity":"/paper/2411.13766/integrity","json":"/paper/2411.13766/citation-record.json","paper":"/paper/2411.13766"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.12275","last_updated":"2024-04-16T21:34:29Z","snapshot_observed_at":"2026-08-16T14:41:39.762011Z","submitted_at":"2023-11-21T01:34:02Z","title":"Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis","version":4},"cited_work":{"arxiv_id":"2311.12275","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.12275","snapshot_observed_at":"2026-08-12T15:58:20.634856Z","title":"Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis","venue":"cs.CL","work_id":"0bc8089e-1516-4c3e-bb38-1220b685ba84","year":2023},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.809930Z"},"links":{"cited_paper":"/paper/2311.12275","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:bf656cc75cebcc51af2ca003ec563661c2f4605f840951eb882f4edba7a513f2","observation_id":"b1c283dd-cc8a-4531-ab4d-b4bb0fd8a35a","resolution":{"observed_at":"2026-08-12T15:58:20.639986Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:58:21.013514Z","title":"An llm-based framework for fingerprinting internet-connected devices","venue":null,"work_id":"fbfb618c-f73c-46ac-9430-101a3ae9e77b","year":2023},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.815788Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:cf6db8df44b1fb038cf321957e604f65257c838eaa3bb12502834bcd7aae8614","observation_id":"63a0ec17-51fd-4915-b60d-1b9e7d706b7a","resolution":{"observed_at":"2026-08-12T15:58:21.021607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:58:20.996601Z","title":"Language models for online depression detection: A review and benchmark analysis on remote interviews","venue":null,"work_id":"7815a744-cf51-413d-91d3-55f88d3853a1","year":2024},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.821466Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:1d5369490dd422b8153de082ab678a1a215fb4cd461c3ac76a79f192f42c7fc1","observation_id":"320727d9-8684-452f-b1ab-aa100ca56b07","resolution":{"observed_at":"2026-08-12T15:58:21.002127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2503.07020","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:58:20.610444Z","title":"Combating partial perception deficit in autonomous driving with multimodal llm commonsense","venue":null,"work_id":"2d57b624-c736-467e-ab92-2ef8e70a17d9","year":2025},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.826883Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:01db30647abdfd57aaa9fb8f6a2c62458686e156afe9bdd7cdbd3baa4313d698","observation_id":"1e352652-bfd7-44f0-8c69-eb99368eb7ce","resolution":{"observed_at":"2026-08-12T15:58:20.618072Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15668","last_updated":"2024-12-23T06:22:48Z","snapshot_observed_at":"2026-08-16T13:40:36.012527Z","submitted_at":"2024-06-21T21:58:37Z","title":"PI-Whisper: Designing an Adaptive and Incremental Automatic Speech Recognition System for Edge Devices","version":2},"cited_work":{"arxiv_id":"2406.15668","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.15668","snapshot_observed_at":"2026-08-12T15:58:20.494165Z","title":"PI-Whisper: Designing an Adaptive and Incremental Automatic Speech Recognition System for Edge Devices","venue":"cs.CL","work_id":"ada6e4d0-f81c-4bad-8ec3-e61cd210c463","year":2024},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.832409Z"},"links":{"cited_paper":"/paper/2406.15668","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:ba7cd35156a389af071ba6370bc4ae2b71b117d8bb05e5eb47edd7bb0bc31fbe","observation_id":"ca8afc80-ca85-4475-bed2-4159e27e72e7","resolution":{"observed_at":"2026-08-12T15:58:20.499776Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:58:19.837780Z","title":"Automatic speech recognition , volume 1","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.837780Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:83f7b35245963ef46fd0ab695209f1ab0e216825c8676e8bf05200445b8fb48b","observation_id":"ff05033b-c3e7-472a-897e-1d198902964d","resolution":{"observed_at":"2026-08-12T15:58:19.837780Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.05839","last_updated":"2024-06-13T07:50:40Z","snapshot_observed_at":"2026-08-16T13:44:45.289400Z","submitted_at":"2024-06-09T16:00:00Z","title":"MaLa-ASR: Multimedia-Assisted LLM-Based ASR","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.05839","snapshot_observed_at":"2026-08-12T15:58:19.844845Z","title":"Mala-asr: Multimedia-assisted llm-based asr","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.844845Z"},"links":{"cited_paper":"/paper/2406.05839","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:02ceaf69f8d58e396a29205cc86fa1542a18e4fb248628f571911b0081cd9f12","observation_id":"10276b82-c0bd-4175-8d48-a9f042649f69","resolution":{"observed_at":"2026-08-12T15:58:19.844845Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04675","last_updated":"2024-07-10T09:01:17Z","snapshot_observed_at":"2026-08-16T13:36:42.713695Z","submitted_at":"2024-07-05T17:38:03Z","title":"Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04675","snapshot_observed_at":"2026-08-12T15:58:19.850529Z","title":"Seed-asr: Understanding diverse speech and contexts with llm-based speech recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.850529Z"},"links":{"cited_paper":"/paper/2407.04675","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:8e937eca44846d806782fdb25127c27d1403a9951a61d10ec1216e58ad4b1d05","observation_id":"e75cd3d4-f6dc-4a0e-903d-d62afb8538e0","resolution":{"observed_at":"2026-08-12T15:58:19.850529Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16542","last_updated":"2024-08-29T14:00:57Z","snapshot_observed_at":"2026-08-16T13:22:55.081932Z","submitted_at":"2024-08-29T14:00:57Z","title":"SALSA: Speedy ASR-LLM Synchronous Aggregation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.16542","snapshot_observed_at":"2026-08-12T15:58:19.856113Z","title":"Salsa: Speedy asr-llm synchronous aggregation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.856113Z"},"links":{"cited_paper":"/paper/2408.16542","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:ae1fec15fd8ddf7b15dc7067aa16a568cf8fb147898f93e2d523a435a6dbdd0b","observation_id":"5a26b764-069d-4482-a846-3738e92b54f8","resolution":{"observed_at":"2026-08-12T15:58:19.856113Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.05519","last_updated":"2024-06-25T05:01:09Z","snapshot_observed_at":"2026-08-17T09:50:53.260956Z","submitted_at":"2023-09-11T15:02:25Z","title":"NExT-GPT: Any-to-Any Multimodal LLM","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.05519","snapshot_observed_at":"2026-08-12T15:58:19.862100Z","title":"Next-gpt: Any-to-any multimodal llm","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.862100Z"},"links":{"cited_paper":"/paper/2309.05519","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:aaebd964dcff40ac2ac5412804e6efd083b4ca311b0fc347c9dbe49f7d188361","observation_id":"5e680e39-d4f6-4653-8b4c-1eaa2fbf3129","resolution":{"observed_at":"2026-08-12T15:58:19.862100Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19335","last_updated":"2024-05-29T17:59:58Z","snapshot_observed_at":"2026-08-18T14:08:01.954263Z","submitted_at":"2024-05-29T17:59:58Z","title":"X-VILA: Cross-Modality Alignment for Large Language Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.19335","snapshot_observed_at":"2026-08-12T15:58:19.867312Z","title":"X-vila: Cross-modality alignment for large language model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.867312Z"},"links":{"cited_paper":"/paper/2405.19335","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:d51fb898fda8e0c0cc0cdceee36aef5236ec6ccd6640686c812f0dfed830af7a","observation_id":"8d7544fe-b2c4-43d9-a0a5-1cc01b9d76ee","resolution":{"observed_at":"2026-08-12T15:58:19.867312Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01852","last_updated":"2024-01-22T03:11:15Z","snapshot_observed_at":"2026-08-16T17:54:32.088103Z","submitted_at":"2023-10-03T07:33:27Z","title":"LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.01852","snapshot_observed_at":"2026-08-12T15:58:19.872465Z","title":"Language- bind: Extending video-language pretraining to n-modality by language- based semantic alignment","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.872465Z"},"links":{"cited_paper":"/paper/2310.01852","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:21529ece6a41027cfffcee51f9d6a881807159941273bc028d75271ec515b36a","observation_id":"7756e443-1e48-4857-a175-9520984167c3","resolution":{"observed_at":"2026-08-12T15:58:19.872465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:58:19.877769Z","title":"Robust speech recognition via large-scale weak supervision","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.877769Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:e5fe639417ed059ea1ffea31d5d865dc3aaf2194849eed98ac2dc7483a25d424","observation_id":"ff9df987-f8d6-4aed-9013-47968eab3dcb","resolution":{"observed_at":"2026-08-12T15:58:19.877769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00118","last_updated":"2024-10-02T15:22:49Z","snapshot_observed_at":"2026-08-02T16:20:09.773989Z","submitted_at":"2024-07-31T19:13:07Z","title":"Gemma 2: Improving Open Language Models at a Practical Size","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00118","snapshot_observed_at":"2026-08-12T15:58:19.883288Z","title":"Gemma 2: Improving open language models at a practical size","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.883288Z"},"links":{"cited_paper":"/paper/2408.00118","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:8b34e9b9a5b4d554b4664206f8bf28584f0b5a5b5f29422a66ad253c91301dae","observation_id":"3fdfb567-cbe6-4ecd-a527-b8e8f72aa08b","resolution":{"observed_at":"2026-08-12T15:58:19.883288Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.17323","last_updated":"2023-03-22T13:10:47Z","snapshot_observed_at":"2026-08-16T07:57:19.216626Z","submitted_at":"2022-10-31T13:42:40Z","title":"GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.17323","snapshot_observed_at":"2026-08-12T15:58:19.889497Z","title":"Gptq: Accurate post-training quantization for generative pre-trained transformers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.889497Z"},"links":{"cited_paper":"/paper/2210.17323","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:127c1b606707d9838f621d53995c336d58f342325ab41d8e73b09643e81030b2","observation_id":"7a1664e9-940a-4931-a2a7-2f0dd5a51408","resolution":{"observed_at":"2026-08-12T15:58:19.889497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:58:19.896501Z","title":"wav2vec 2.0: A framework for self-supervised learning of speech representations","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.896501Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:8e84b1d553e3d200e56a5c80812afa7d5b85f040581d1ba6c2921b62b734628e","observation_id":"f16bab88-7e3a-4626-a4ac-399e1499e58b","resolution":{"observed_at":"2026-08-12T15:58:19.896501Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:58:20.945592Z","title":"A comparative analysis between conformer-transducer, whisper, and wav2vec2 for im- proving the child speech recognition","venue":null,"work_id":"fc447e77-12a2-40da-9b1b-48124cc18f0c","year":2023},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.904758Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:d9a959a8a441d32af3774516b28a5d7be2ae174f22c8c3fc2ea36288990297ff","observation_id":"ac97e067-8fdc-4d31-bb53-be565e10a15f","resolution":{"observed_at":"2026-08-12T15:58:20.951663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.08100","last_updated":"2020-05-16T20:56:25Z","snapshot_observed_at":"2026-08-15T19:06:16.181826Z","submitted_at":"2020-05-16T20:56:25Z","title":"Conformer: Convolution-augmented Transformer for Speech Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.08100","snapshot_observed_at":"2026-08-12T15:58:19.912750Z","title":"Conformer: Convolution-augmented transformer for speech recognition","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.912750Z"},"links":{"cited_paper":"/paper/2005.08100","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:9ae04202ed983d08ed798f76dc17afa7187d11c8156311ad3251724bc8175f37","observation_id":"e25f21ab-818f-4d35-ba98-6f46038e3b9f","resolution":{"observed_at":"2026-08-12T15:58:19.912750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:58:20.928804Z","title":"Automatic screening for children with speech disorder using automatic speech recognition: Opportunities and challenges","venue":null,"work_id":"17bb90d2-7fa5-45c3-82d3-fe7594638d6d","year":2024},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.921707Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:8e135e823c0dce284eb8edb5f5eb765efa116066bf93dcb774f151dc15a47c69","observation_id":"b52d9716-47ac-467f-82e8-2cbb972fa423","resolution":{"observed_at":"2026-08-12T15:58:20.933646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:58:20.912919Z","title":"Diffsound: Discrete diffusion model for text-to-sound generation","venue":null,"work_id":"c82836ee-a5c6-497b-a7d2-25f5ecadedff","year":2023},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.929924Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:791d78fccd07409b40bebe7ecce9cb9e97bfd8d4945b8b98f30977d1feaea0ba","observation_id":"70bf819d-7dcf-4a20-bcf2-27f662a28d33","resolution":{"observed_at":"2026-08-12T15:58:20.918035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:58:20.895390Z","title":"Audiolm: a language modeling approach to audio generation","venue":null,"work_id":"35d914c7-2e23-4b65-a099-d564ff442549","year":2023},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.937664Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:c47bf7cae91e6c27535e8a9ffcb9935bfb54a4134852c1af4201e16cae0c9472","observation_id":"e44203ff-f8e8-4bae-a3fb-8a2f3a8c482e","resolution":{"observed_at":"2026-08-12T15:58:20.901013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:58:20.878091Z","title":"Tango 2: Aligning diffusion-based text-to-audio genera- tive models through direct preference optimization","venue":null,"work_id":"e5c4dea9-c0e4-4cfd-ac41-65da5076d464","year":2024},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.946679Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:9bac3b90d78564f6b0b2b31c834b47222b84fa50db5b73ba4dc23ab1b3126bfe","observation_id":"d6172618-94ad-490e-8482-6cee8bcb1c32","resolution":{"observed_at":"2026-08-12T15:58:20.882672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:58:20.862603Z","title":"Open-ended multi-modal relational reasoning for video question answer- ing","venue":null,"work_id":"e01dee9b-2d4d-4173-9f70-9bf034ff4b3b","year":2023},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.954824Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:d88b4e0622ad52fe0ecc2ae1b1467d43aff163fbd266c2313a82a1f12a541c05","observation_id":"4fe922d7-090f-451a-a8d6-03759610cb75","resolution":{"observed_at":"2026-08-12T15:58:20.867875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03777","last_updated":"2024-10-02T04:14:21Z","snapshot_observed_at":"2026-08-16T13:45:39.944435Z","submitted_at":"2024-06-06T06:41:53Z","title":"Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03777","snapshot_observed_at":"2026-08-12T15:58:19.963404Z","title":"Empirical guidelines for deploying llms onto resource-constrained edge devices","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.963404Z"},"links":{"cited_paper":"/paper/2406.03777","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:ff3ccf12ddf21a4f580be8e43d20a0df3bcc338bf70032cc105fe5e24565df9b","observation_id":"ab3db4d3-f5f5-4105-b8d8-80ef065d433c","resolution":{"observed_at":"2026-08-12T15:58:19.963404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08244","last_updated":"2024-11-12T23:43:20Z","snapshot_observed_at":"2026-08-17T13:52:38.778980Z","submitted_at":"2024-11-12T23:43:20Z","title":"NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs","version":1},"cited_work":{"arxiv_id":"2411.08244","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.08244","snapshot_observed_at":"2026-08-12T15:58:20.284574Z","title":"NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs","venue":"cs.LG","work_id":"ec847d58-d021-4659-814e-79d93cc0e537","year":2024},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.975935Z"},"links":{"cited_paper":"/paper/2411.08244","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:95423b2ca1735399494a1eb9a381649499cf0956df946122362050aa0d31774c","observation_id":"d352fe30-9af2-4a9f-ad32-654d02ee4c2c","resolution":{"observed_at":"2026-08-12T15:58:20.291466Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.04700","last_updated":"2024-05-07T22:31:50Z","snapshot_observed_at":"2026-08-16T13:54:30.755493Z","submitted_at":"2024-05-07T22:31:50Z","title":"Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.04700","snapshot_observed_at":"2026-08-12T15:58:19.987248Z","title":"Robust implementation of retrieval-augmented generation on edge-based computing-in-memory architectures","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.987248Z"},"links":{"cited_paper":"/paper/2405.04700","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:9143457ce5b79e7a3297c5df9b6f06c24b08feb6536d04ef7adc126a364ea5fe","observation_id":"d106a4f6-58a3-427b-b19c-0e227326a3e2","resolution":{"observed_at":"2026-08-12T15:58:19.987248Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.18996","last_updated":"2024-09-19T02:51:54Z","snapshot_observed_at":"2026-08-18T00:07:16.477020Z","submitted_at":"2024-09-19T02:51:54Z","title":"From Linguistic Giants to Sensory Maestros: A Survey on Cross-Modal Reasoning with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.18996","snapshot_observed_at":"2026-08-12T15:58:19.995451Z","title":"From linguistic giants to sensory maestros: A survey on cross-modal reasoning with large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.995451Z"},"links":{"cited_paper":"/paper/2409.18996","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:d4bc13561fc7c5b9a2b829f86bd34805bfc5ae95aed85af8be77529819c82387","observation_id":"31c79cde-fc47-43fa-8bf9-39321345167e","resolution":{"observed_at":"2026-08-12T15:58:19.995451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:58:20.847027Z","title":"Enabling edge devices that learn from each other: Cross modal training for activity recognition","venue":null,"work_id":"5fba53f0-7335-4b55-81a2-1ebed2e08564","year":2018},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:20.005169Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:e52b24f102df0d5927174ea8ad545af6572e68dc85c022b01b1a2a609412055a","observation_id":"5b8c1a9c-faee-4f60-909f-5003b9ef5a76","resolution":{"observed_at":"2026-08-12T15:58:20.852015Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:58:20.832390Z","title":"Fl-nas: Towards fairness of nas for resource constrained devices via large language models","venue":null,"work_id":"af14cb63-7b61-400d-a92c-554a344e9837","year":2024},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:20.014577Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:f8f6292fa98f3eb05840317b0bd77c1ac962b031c6b3180e73507cb6323360e3","observation_id":"bd49da3b-1709-4bd7-83e7-0685afbc83ec","resolution":{"observed_at":"2026-08-12T15:58:20.836806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:58:20.817476Z","title":"Dementia mortality among adults age 65 and older: United states, 2018-2022","venue":null,"work_id":"67d08773-73a4-476e-98e0-042f16decec6","year":2018},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:20.022720Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:0f0b31ea5baae38cedd364b303a3b2bb1d36a6b6f6fe55ff94dd76c863ecd273","observation_id":"4e538fe9-195c-4d0a-bbec-09ca13288e49","resolution":{"observed_at":"2026-08-12T15:58:20.822409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:58:20.031353Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:20.031353Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:cf9d9bad1ff129810af906db1a70832a334a1ef8b671e819ba4ac9ac38e99cd9","observation_id":"b398719a-87c6-4f41-9844-a828d639eb21","resolution":{"observed_at":"2026-08-12T15:58:20.031353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.02994","last_updated":"2021-11-05T21:37:15Z","snapshot_observed_at":"2026-08-16T17:43:38.722839Z","submitted_at":"2021-11-05T21:37:15Z","title":"IBERT: Idiom Cloze-style reading comprehension with Attention","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.02994","snapshot_observed_at":"2026-08-12T15:58:20.040288Z","title":"Ibert: Idiom cloze-style reading comprehension with attention","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:20.040288Z"},"links":{"cited_paper":"/paper/2112.02994","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:cd9e6bf91e4fa22f8c82b591c31bcb0bcbe51d6f2a3480c1de3a16be28e5f172","observation_id":"68cc1155-be2f-4a11-80b2-6e7f737a08eb","resolution":{"observed_at":"2026-08-12T15:58:20.040288Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03277","last_updated":"2023-04-06T17:58:09Z","snapshot_observed_at":"2026-08-16T13:26:40.822276Z","submitted_at":"2023-04-06T17:58:09Z","title":"Instruction Tuning with GPT-4","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03277","snapshot_observed_at":"2026-08-12T15:58:20.048677Z","title":"Instruction tuning with gpt-4","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:20.048677Z"},"links":{"cited_paper":"/paper/2304.03277","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:56e3910ce9ea8068b6921d76817cb3d7dbe1c4583bad914712c309ae681ffdec","observation_id":"6c3f3a02-6ed7-42e9-bff4-051feee56f3e","resolution":{"observed_at":"2026-08-12T15:58:20.048677Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:58:20.791055Z","title":"The talkbank project","venue":null,"work_id":"1717e0ba-86cd-4d07-9fd5-56007308128b","year":2007},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:20.057171Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:0e24080d7ec1a90831b6c514d44f1f760ae7bfbefc103bfee02486c784aac6c6","observation_id":"d4ba46b9-67f6-49a7-acdc-d29b725627f2","resolution":{"observed_at":"2026-08-12T15:58:20.795456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:58:20.774749Z","title":"Tackling the adress challenge: A mul- timodal approach to the automated recognition of alzheimer’s dementia","venue":null,"work_id":"42710572-b97b-4267-bbfe-a29fbfb0d64f","year":2020},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:20.066926Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:ae872d44a8f6421c661b246fe49c0e2cc2b9f46d52012949dffc683c7dece40e","observation_id":"3f8a0a3b-3dd1-47bc-95a3-1a0ea9429d1d","resolution":{"observed_at":"2026-08-12T15:58:20.780255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:58:20.758600Z","title":"Baycrest pwa corpus","venue":null,"work_id":"79b17375-3a4b-4c45-b950-abbf25024090","year":null},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:20.075814Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:33b4ded0ce1943f6b820e7703e0c3556fc1546d00978ac0a41120a9cbb058867","observation_id":"b63d59a2-15ea-4996-8b32-7403b49109f0","resolution":{"observed_at":"2026-08-12T15:58:20.763168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:58:20.741790Z","title":"Fast mapping in late-talking toddlers","venue":null,"work_id":"a5fa8a32-b919-46f4-b72a-1cdf3248f3d1","year":2013},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:20.084380Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:e88793f938ec25cc0a503007614e43de3dfb33eaa71b39549abed0e4acedf693","observation_id":"a66e30ef-2d26-43d0-82aa-d7d448b39e61","resolution":{"observed_at":"2026-08-12T15:58:20.746891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:58:20.725053Z","title":"Dis- criminating children with language impairment among english-language learners from diverse first-language backgrounds","venue":null,"work_id":"608502c5-f5d0-478d-b518-d98ef04d4828","year":2013},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:20.091732Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:a77de4fcacb46093a9a2e05bc0cb272d6218bb772a0c353d3fa6facb92897f0b","observation_id":"81102b15-4cea-4edd-bf70-e3d95890bf90","resolution":{"observed_at":"2026-08-12T15:58:20.730177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:58:20.710415Z","title":"Aphasia talkbank neural dataset","venue":null,"work_id":"62e82456-518b-4f64-b861-3011af7fe34b","year":2024},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:20.100307Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:46ff243657dc38708b3117a6b7b7125a9f880b033ef4b22ecb560ed74c581883","observation_id":"cdffea72-be5e-44ed-8072-4e847b37cb1b","resolution":{"observed_at":"2026-08-12T15:58:20.714897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:58:20.694740Z","title":"Institutional review boards: Purpose and challenges","venue":null,"work_id":"f103eb29-7ae2-448d-9009-862e20b70862","year":2015},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:20.108055Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:da4ea7d33fcffc850e22e2a6f42ddf80aab9196e2bc6142c128f306d52db8713","observation_id":"73c35bd6-e292-49a6-9b74-0ce515291777","resolution":{"observed_at":"2026-08-12T15:58:20.699662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:58:20.677321Z","title":"Llama 3.2: Revolutionizing edge ai and vision with open, customizable models","venue":null,"work_id":"e6c70823-a959-4c5a-a2b1-e31f256cf0ba","year":2024},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:20.115657Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:8a80d8d43b26ebe444c7d5f61773acb370053b1ebdbc455cc627b898892e90a8","observation_id":"f2cc8536-c22f-4e52-961c-db6fe632c857","resolution":{"observed_at":"2026-08-12T15:58:20.681854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14219","last_updated":"2024-08-30T21:17:17Z","snapshot_observed_at":"2026-08-17T03:25:04.404839Z","submitted_at":"2024-04-22T14:32:33Z","title":"Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14219","snapshot_observed_at":"2026-08-12T15:58:20.121014Z","title":"Phi-3 technical report: A highly capable language model locally on your phone","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:20.121014Z"},"links":{"cited_paper":"/paper/2404.14219","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:daa106a404b965ace5ac01ad0bf554b8f379db2c90f1e0571e842d587a076c9b","observation_id":"b9017fc8-3d92-47c0-af50-2a11eb56cb36","resolution":{"observed_at":"2026-08-12T15:58:20.121014Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17834","last_updated":"2024-02-27T19:00:07Z","snapshot_observed_at":"2026-08-16T14:14:46.903233Z","submitted_at":"2024-02-27T19:00:07Z","title":"Stable LM 2 1.6B Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17834","snapshot_observed_at":"2026-08-12T15:58:20.125957Z","title":"Stable lm 2 1.6 b technical report","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:20.125957Z"},"links":{"cited_paper":"/paper/2402.17834","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:a8007effe129af3df5b3a814f51763b897e43e0b05ba8f5f0a702630ed93f354","observation_id":"55c28788-9f44-4237-9d16-c63bb2a22ec0","resolution":{"observed_at":"2026-08-12T15:58:20.125957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:58:20.130888Z","title":"Rouge: A package for automatic evaluation of sum- maries","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:20.130888Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:d5a7fe67771efbe4365c8717280c1a4252f3fb59eab77599a0bdc1997b9a030d","observation_id":"b98abe5b-7cbc-4c86-ac7f-a3cb3ce84eed","resolution":{"observed_at":"2026-08-12T15:58:20.130888Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:58:20.650787Z","title":"Autofl: Enabling heterogeneity- aware energy efficient federated learning","venue":null,"work_id":"41935677-95d1-4efd-813a-e81d855a7c78","year":2021},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:20.135186Z"},"links":{"citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:e155783c1a1616944328479efd8840d28e8c052506fd8e07e6a65cfcf706630f","observation_id":"ba5f27a1-5493-46ef-860a-b31f7fb7afe4","resolution":{"observed_at":"2026-08-12T15:58:20.655718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","latest_version":4,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":21,"verified_exact":4,"verified_fuzzy":20},"total_outbound_references":45},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2411.13766."}