{"as_of":"2026-08-15T22:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:50915686ba24d7a9c676a29de232464e2e6c47ddb615f49e26ec7aa9333e492e","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T11:47:26.586906Z","state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:02:38.931012Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T22:02:42.559862Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"cited_work":{"arxiv_id":"2501.16643","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.16643","snapshot_observed_at":"2026-08-06T22:02:42.559862Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","venue":"cs.CL","work_id":"0ca8f355-1e66-41c1-af71-020c8e47b5f3","year":2025},"citing_paper":{"arxiv_id":"2506.22853","last_updated":"2025-07-02T07:55:09Z","snapshot_observed_at":"2026-08-13T07:37:19.209531Z","submitted_at":"2025-06-28T11:28:04Z","title":"DICE-BENCH: Evaluating the Tool-Use Capabilities of Large Language Models in Multi-Round, Multi-Party Dialogues","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T22:02:38.931012Z"},"links":{"cited_paper":"/paper/2501.16643","citing_paper":"/paper/2506.22853"},"observation_digest":"sha256:d90e6bebfa6a00c68aeda2cb6e0ea44e528c7468014ffb6d641ebab81001c29b","observation_id":"17b10d36-0521-4cdb-9bc0-99c1e690b5a6","resolution":{"observed_at":"2026-08-06T22:02:42.730281Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.16643/citation-record","integrity":"/paper/2501.16643/integrity","json":"/paper/2501.16643/citation-record.json","paper":"/paper/2501.16643"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T11:47:26.854541Z","title":null,"venue":null,"work_id":"3d70c117-d91d-4427-8f44-b86adef5fa1c","year":2018},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.509784Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:df4400d6d9c2fdf06e24d7282cc78cea7f6479145ad831a8b1c4cf7267e19601","observation_id":"47018897-e2e0-44e1-8fe9-83fa418fd9d9","resolution":{"observed_at":"2026-08-10T11:47:26.858282Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.842638Z","title":null,"venue":null,"work_id":"c4306ca5-5849-4be8-b1c5-22689e1c3ae2","year":2018},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.514490Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:87b1e45c84196a5eac26c0e02aa34b00974a0aa38bf72297c08ae786d4b8654e","observation_id":"69b0b056-0123-4ec0-b5b0-cfcf7ad150a3","resolution":{"observed_at":"2026-08-10T11:47:26.846650Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.831749Z","title":null,"venue":null,"work_id":"3e9a6bba-486a-4f9d-900e-6a461412b018","year":2007},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.518575Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:fd09b9982e9b0aa26a04338281659298d7c7e7f95f273db67026528e6592ca6a","observation_id":"642bfb41-6924-4d5e-9ac4-e50aad7252b0","resolution":{"observed_at":"2026-08-10T11:47:26.835426Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.820215Z","title":null,"venue":null,"work_id":"c7c89556-2fec-4310-99dc-b3c07e030a55","year":2021},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.522759Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:5fe0f41aacc96850d33ee3786c547c9154f9c734a000a05f139c25418f317072","observation_id":"129fd253-f69d-4214-a55c-ed982b0f54e4","resolution":{"observed_at":"2026-08-10T11:47:26.824236Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.808844Z","title":null,"venue":null,"work_id":"175f0429-004a-4535-92a5-0dbe8c263256","year":2010},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.526947Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:e630e6ac757399b3f91e0f722d8e6a4b7d3b04192011b5f4535652f64fde0005","observation_id":"523e5326-0c2a-4d12-804f-95bf750b5809","resolution":{"observed_at":"2026-08-10T11:47:26.812758Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.797721Z","title":null,"venue":null,"work_id":"7b47d4e2-6066-41a1-a429-0417543c0faf","year":2016},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.530676Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:4b2f0bda39aae966e4d93f3862c821c6334f8899a9799b1b8f312cff337ed179","observation_id":"7bff2bc0-56ca-49f6-9c62-e3590de91c33","resolution":{"observed_at":"2026-08-10T11:47:26.801476Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.786846Z","title":null,"venue":null,"work_id":"75afaa6d-3c94-403f-8d04-fc130da5f2e2","year":2018},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.534684Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:406d179e19fa79316790744723ce5fd2106bfd0fdcd319973d34b38b8ed23520","observation_id":"31e9e1ac-86ee-4449-8b36-eaad2ef61eee","resolution":{"observed_at":"2026-08-10T11:47:26.790638Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.776384Z","title":null,"venue":null,"work_id":"423972a7-7f93-40d1-ac16-e89af730b539","year":2019},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.537979Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:580dd56db0a3b06674cc2d13e5e19ea7410a9acec0ab27e6695cfe2b94de9da2","observation_id":"ba9f0f37-0cdb-4adb-961a-f523f3077269","resolution":{"observed_at":"2026-08-10T11:47:26.779920Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.765114Z","title":null,"venue":null,"work_id":"a98af3bf-5afe-438f-8179-be5b6aa36764","year":2024},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.541167Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:bd11ea5bcb6b10d12735c244c02e41a2cd8f7d0cb6a3c8c49038b9dc92993fd3","observation_id":"a9b30b03-d0e5-4f77-840e-72da2d4ebcf5","resolution":{"observed_at":"2026-08-10T11:47:26.769066Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.752662Z","title":null,"venue":null,"work_id":"b9763bd2-d289-4e3d-8dc6-0f1c672026e1","year":2023},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.544699Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:94d1c06189303c38e7feb65d2265912e1bb625c71285cdb857ae57949c80b44c","observation_id":"71ebc5e4-fdef-48b0-ba88-8f3d07c63d2b","resolution":{"observed_at":"2026-08-10T11:47:26.757355Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.12412","last_updated":"2023-05-21T09:22:41Z","snapshot_observed_at":"2026-08-14T21:02:53.208735Z","submitted_at":"2023-05-21T09:22:41Z","title":"EM Pre-training for Multi-party Dialogue Response Generation","version":1},"cited_work":{"arxiv_id":"2305.12412","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.12412","snapshot_observed_at":"2026-08-10T11:47:26.617965Z","title":"EM Pre-training for Multi-party Dialogue Response Generation","venue":"cs.CL","work_id":"0769e234-2eec-4df2-82c6-3452e726f7fb","year":2023},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.547699Z"},"links":{"cited_paper":"/paper/2305.12412","citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:b0e43ffc3aece7eb4c4fdf19cee1d4d74726625b890af28a2df2b7233ad85452","observation_id":"63a59c6c-d371-4fa9-b4fd-eb0a99a1b6e6","resolution":{"observed_at":"2026-08-10T11:47:26.623917Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.741186Z","title":null,"venue":null,"work_id":"3b3d1e19-48c0-40ca-9053-227119717205","year":2016},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.551134Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:b66dfc30a6d79ba8e78eebb1b793dd2abd336b04c0b823d789e735a71ee961b7","observation_id":"12ff0b7a-6b97-4a6c-99d9-c4fe4e788cbc","resolution":{"observed_at":"2026-08-10T11:47:26.744930Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.729749Z","title":null,"venue":null,"work_id":"44bcbdd9-44c8-486c-b3ae-625534bd67c8","year":2007},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.554661Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:ecc70727bfc853bd2c92bfe6451e74ec0dcac4a82b8aa079a6b0ca1c1f92c5f2","observation_id":"3f2860bd-367e-4ad3-b080-1e86ba30da7b","resolution":{"observed_at":"2026-08-10T11:47:26.733631Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.717266Z","title":"Nakano, Yuki Hayashi, Hung-Hsuan Hung, and Shogo Okada","venue":null,"work_id":"f11aaefc-a532-4aff-b837-c43e5cdeaa13","year":2014},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.558125Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:0f8a0b999015ce97e49b0d96efebd6fd50691db86eed040d8110c6d2f80947ab","observation_id":"509647b7-468e-4101-a723-ffe3b7742d4d","resolution":{"observed_at":"2026-08-10T11:47:26.721391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.704862Z","title":null,"venue":null,"work_id":"fb04cdb1-9661-4440-b0c6-12fbf257a076","year":2023},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.561873Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:35a24bf4599fc93293e95667fb8d9fa147bd228ffa54586a3bedfaa10e6631f4","observation_id":"71b1c774-fd5a-41cd-8a46-dbf1de071e83","resolution":{"observed_at":"2026-08-10T11:47:26.709132Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.693093Z","title":null,"venue":null,"work_id":"6f6443ed-d520-439b-ad54-6910139bf94e","year":2022},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.565039Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:552d84b32dc93508115299e5d1f761d86ffcfb5169e90cfcf76550d4b1316e3b","observation_id":"1d4aed58-67b8-466f-b420-63abb778e07b","resolution":{"observed_at":"2026-08-10T11:47:26.697075Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.681850Z","title":null,"venue":null,"work_id":"a7565884-5580-4785-abf1-5d8f4bdea9f0","year":2015},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.568651Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:7c24b8805c5040b221943af2b5efc300e26fb8084e5d27eb64b0a9cfaf845081","observation_id":"1c7d01d3-8b76-4cf4-bcda-6de0d2945e81","resolution":{"observed_at":"2026-08-10T11:47:26.685746Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.670341Z","title":null,"venue":null,"work_id":"76e0678d-0ea9-41cd-8837-3fce05d05306","year":2016},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.571978Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:0586f6757923193dce83d298acd568b66155f617a7f1873fb759eccf64b13ab6","observation_id":"9e60e986-7407-4ac5-9931-029b7193d2d8","resolution":{"observed_at":"2026-08-10T11:47:26.674035Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.659205Z","title":null,"venue":null,"work_id":"5ef8875f-08d1-4f5a-9d09-fb98841691ea","year":2023},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.575672Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:716635ca316d19af7366660704e70fdf1af1b91eaab1299dd49eb6b3b9757978","observation_id":"b3cff031-ef51-41b0-aa32-f80c9bc12ebd","resolution":{"observed_at":"2026-08-10T11:47:26.662870Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.648382Z","title":null,"venue":null,"work_id":"15397972-8d23-4fcc-bb99-af04f80a4518","year":2015},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.578875Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:dc66a6202e65ae7a9614c61fa32b44ae0555102b6d217a9d8ea64dde853d422d","observation_id":"ac6496fb-730f-4fa0-a826-9c1e5ac6141c","resolution":{"observed_at":"2026-08-10T11:47:26.651960Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T11:47:26.582735Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.582735Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:bf53d6f4b9a631bf34f86ea5967ccf737c37cb26c2c3b77e6a2119f2c64d5540","observation_id":"d6520ab6-e5e9-43b8-9481-0498cbbf04f3","resolution":{"observed_at":"2026-08-10T11:47:26.582735Z","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":"2026-08-10T11:47:26.586906Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.586906Z"},"links":{"citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:7d75bfb13695d438e9907be6d19985fce8919d009e72dcd9164e634172183d66","observation_id":"b3f2198f-70d0-4a24-887d-b58f8e6e17b1","resolution":{"observed_at":"2026-08-10T11:47:26.586906Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":20,"verified_exact":1,"verified_fuzzy":1},"total_outbound_references":22},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2501.16643."}