{"as_of":"2026-08-10T02:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:95bb7767da9f9e1bc6abb0858fd86c052e6a82012e68225082ffc9cb69100015","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":11,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:06:04.761722Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":30,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.11911","last_updated":"2024-08-29T05:14:36Z","snapshot_observed_at":"2026-08-09T05:40:16.745549Z","submitted_at":"2023-09-21T09:22:07Z","title":"InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models","version":6},"cited_work":{"arxiv_id":"2309.11911","doi":"10.48550/arxiv.2309.11911","metadata_source":"arxiv_reference","pith_arxiv_id":"2309.11911","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InConference on Empirical Methods in Natural Language Processing","venue":"arXiv (Cornell University)","work_id":"f96413dd-3191-431a-808a-c62427bd3814","year":2023},"citing_paper":{"arxiv_id":"2505.04152","last_updated":"2026-05-13T00:07:07Z","snapshot_observed_at":"2026-07-06T21:20:08.242976Z","submitted_at":"2025-05-07T06:03:37Z","title":"SocialLM: Social Signal Processing of Patient-Provider Communication using LLMs and Contextual Aggregation","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-22T17:04:00.508789Z"},"links":{"cited_paper":"/paper/2309.11911","citing_paper":"/paper/2505.04152"},"observation_digest":"sha256:de85884051b3af4ed8cff07bdd79326ebe1336b8e8dcba9246c6517fb8ce0c78","observation_id":"9a9eff98-cd8c-4ac7-9f4c-845af19b7c7c","resolution":{"observed_at":"2026-05-22T17:05:00.382630Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.11911","last_updated":"2024-08-29T05:14:36Z","snapshot_observed_at":"2026-08-09T05:40:16.745549Z","submitted_at":"2023-09-21T09:22:07Z","title":"InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.11911","snapshot_observed_at":"2026-08-07T15:06:04.761722Z","title":"Instructerc: Reforming emotion recognition in conversation with a retrieval multi-task llms framework","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.16410","last_updated":"2025-05-22T09:00:19Z","snapshot_observed_at":"2026-08-07T20:42:11.938642Z","submitted_at":"2025-05-22T09:00:19Z","title":"Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T15:06:04.761722Z"},"links":{"cited_paper":"/paper/2309.11911","citing_paper":"/paper/2505.16410"},"observation_digest":"sha256:2a3571c108dfac893446ecff00433044dfb29c57fd3c2e493d3528113cf6a9b3","observation_id":"200f13a6-785c-47f8-b91a-5eff891f837a","resolution":{"observed_at":"2026-08-07T15:06:04.761722Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.11911","last_updated":"2024-08-29T05:14:36Z","snapshot_observed_at":"2026-08-09T05:40:16.745549Z","submitted_at":"2023-09-21T09:22:07Z","title":"InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.11911","snapshot_observed_at":"2026-08-07T13:56:48.042095Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20511","last_updated":"2025-09-09T06:34:44Z","snapshot_observed_at":"2026-08-09T02:01:08.440026Z","submitted_at":"2025-05-26T20:23:24Z","title":"Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects","version":2},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-07T13:56:48.042095Z"},"links":{"cited_paper":"/paper/2309.11911","citing_paper":"/paper/2505.20511"},"observation_digest":"sha256:df3ba9851aa4435278e43b279b52fec2ed7a9288e65851b9159c8b1be35908cf","observation_id":"a45747df-38da-428c-8a7d-aeab1a315a57","resolution":{"observed_at":"2026-08-07T13:56:48.042095Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.11911","last_updated":"2024-08-29T05:14:36Z","snapshot_observed_at":"2026-08-09T05:40:16.745549Z","submitted_at":"2023-09-21T09:22:07Z","title":"InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.11911","snapshot_observed_at":"2026-08-07T04:53:37.216210Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.09424","last_updated":"2025-06-11T06:12:50Z","snapshot_observed_at":"2026-08-09T05:40:52.488302Z","submitted_at":"2025-06-11T06:12:50Z","title":"Hidden in Plain Sight: Evaluation of the Deception Detection Capabilities of LLMs in Multimodal Settings","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T04:53:37.216210Z"},"links":{"cited_paper":"/paper/2309.11911","citing_paper":"/paper/2506.09424"},"observation_digest":"sha256:07461aea06cdc9c4c6bed4cd3979a61e40ed5f808f86498ca2c6542cb670cad3","observation_id":"2c4fef15-a255-40bb-9720-b2a4fad94c04","resolution":{"observed_at":"2026-08-07T04:53:37.216210Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.11911","last_updated":"2024-08-29T05:14:36Z","snapshot_observed_at":"2026-08-09T05:40:16.745549Z","submitted_at":"2023-09-21T09:22:07Z","title":"InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models","version":6},"cited_work":{"arxiv_id":"2309.11911","doi":"10.48550/arxiv.2309.11911","metadata_source":"arxiv_reference","pith_arxiv_id":"2309.11911","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InConference on Empirical Methods in Natural Language Processing","venue":"arXiv (Cornell University)","work_id":"f96413dd-3191-431a-808a-c62427bd3814","year":2023},"citing_paper":{"arxiv_id":"2511.07061","last_updated":"2025-11-24T01:17:15Z","snapshot_observed_at":"2026-08-02T17:18:55.771206Z","submitted_at":"2025-11-10T12:52:11Z","title":"Do LLMs Feel? Teaching Emotion Recognition with Prompts, Retrieval, and Curriculum Learning","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-17T23:46:53.470418Z"},"links":{"cited_paper":"/paper/2309.11911","citing_paper":"/paper/2511.07061"},"observation_digest":"sha256:cd1d4ab32c722aa4914b04480af8ffd1e17a7b192d3d564a54afce74013700cb","observation_id":"397a76ec-5d1b-4f1f-8f59-0907843c9be1","resolution":{"observed_at":"2026-05-17T23:50:31.710371Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.11911","last_updated":"2024-08-29T05:14:36Z","snapshot_observed_at":"2026-08-09T05:40:16.745549Z","submitted_at":"2023-09-21T09:22:07Z","title":"InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models","version":6},"cited_work":{"arxiv_id":"2309.11911","doi":"10.48550/arxiv.2309.11911","metadata_source":"arxiv_reference","pith_arxiv_id":"2309.11911","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InConference on Empirical Methods in Natural Language Processing","venue":"arXiv (Cornell University)","work_id":"f96413dd-3191-431a-808a-c62427bd3814","year":2023},"citing_paper":{"arxiv_id":"2604.12735","last_updated":"2026-08-05T08:52:46Z","snapshot_observed_at":"2026-08-09T03:20:26.673676Z","submitted_at":"2026-04-14T13:49:19Z","title":"AffectAgent: Collaborative Multi-Agent Reasoning for Retrieval-Augmented Multimodal Emotion Recognition","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T15:21:42.285340Z"},"links":{"cited_paper":"/paper/2309.11911","citing_paper":"/paper/2604.12735"},"observation_digest":"sha256:508a2aec96e585b8ea84bf43ff66a96817e68aca2456f483665a5802d7410ae8","observation_id":"f4fc09d1-312d-4289-92a9-cdb385d7804b","resolution":{"observed_at":"2026-05-11T10:41:05.908512Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.11911","last_updated":"2024-08-29T05:14:36Z","snapshot_observed_at":"2026-08-09T05:40:16.745549Z","submitted_at":"2023-09-21T09:22:07Z","title":"InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models","version":6},"cited_work":{"arxiv_id":"2309.11911","doi":"10.48550/arxiv.2309.11911","metadata_source":"arxiv_reference","pith_arxiv_id":"2309.11911","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InConference on Empirical Methods in Natural Language Processing","venue":"arXiv (Cornell University)","work_id":"f96413dd-3191-431a-808a-c62427bd3814","year":2023},"citing_paper":{"arxiv_id":"2604.14593","last_updated":"2026-04-22T09:12:17Z","snapshot_observed_at":"2026-08-04T07:12:05.020192Z","submitted_at":"2026-04-16T03:54:03Z","title":"Mechanistic Decoding of Cognitive Constructs in Large Language Models","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T12:13:25.350059Z"},"links":{"cited_paper":"/paper/2309.11911","citing_paper":"/paper/2604.14593"},"observation_digest":"sha256:ae91b62102c3a685d3af09827459a5dcaf00c5bc75f4c25da36d401a3addb75e","observation_id":"264654e1-d5eb-4c81-b911-2c07ce2b39a8","resolution":{"observed_at":"2026-05-10T12:15:21.968948Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.11911","last_updated":"2024-08-29T05:14:36Z","snapshot_observed_at":"2026-08-09T05:40:16.745549Z","submitted_at":"2023-09-21T09:22:07Z","title":"InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models","version":6},"cited_work":{"arxiv_id":"2309.11911","doi":"10.48550/arxiv.2309.11911","metadata_source":"arxiv_reference","pith_arxiv_id":"2309.11911","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InConference on Empirical Methods in Natural Language Processing","venue":"arXiv (Cornell University)","work_id":"f96413dd-3191-431a-808a-c62427bd3814","year":2023},"citing_paper":{"arxiv_id":"2604.15823","last_updated":"2026-04-17T08:22:14Z","snapshot_observed_at":"2026-07-06T23:03:16.345488Z","submitted_at":"2026-04-17T08:22:14Z","title":"Watching Movies Like a Human: Egocentric Emotion Understanding for Embodied Companions","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-10T08:49:33.107658Z"},"links":{"cited_paper":"/paper/2309.11911","citing_paper":"/paper/2604.15823"},"observation_digest":"sha256:fe709cbdd5a44b74695ceb546facad81543bc46ef884baa860a289e293a1d103","observation_id":"d5eb1ac7-447c-455b-b144-87ecb0d8c148","resolution":{"observed_at":"2026-05-10T08:53:04.288420Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.11911","last_updated":"2024-08-29T05:14:36Z","snapshot_observed_at":"2026-08-09T05:40:16.745549Z","submitted_at":"2023-09-21T09:22:07Z","title":"InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models","version":6},"cited_work":{"arxiv_id":"2309.11911","doi":"10.48550/arxiv.2309.11911","metadata_source":"arxiv_reference","pith_arxiv_id":"2309.11911","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InConference on Empirical Methods in Natural Language Processing","venue":"arXiv (Cornell University)","work_id":"f96413dd-3191-431a-808a-c62427bd3814","year":2023},"citing_paper":{"arxiv_id":"2605.04877","last_updated":"2026-05-06T13:11:33Z","snapshot_observed_at":"2026-08-08T11:54:25.512363Z","submitted_at":"2026-05-06T13:11:33Z","title":"To Fuse or to Drop? Dual-Path Learning for Resolving Modality Conflicts in Multimodal Emotion Recognition","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-08T15:53:39.901521Z"},"links":{"cited_paper":"/paper/2309.11911","citing_paper":"/paper/2605.04877"},"observation_digest":"sha256:0addd9a78509d03cba3f746e953e5ed31f907c882b0dc9151d0e925e3febcb13","observation_id":"152e0a16-71ca-4a13-bcc2-ec4077630995","resolution":{"observed_at":"2026-05-08T20:49:10.766345Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.11911","last_updated":"2024-08-29T05:14:36Z","snapshot_observed_at":"2026-08-09T05:40:16.745549Z","submitted_at":"2023-09-21T09:22:07Z","title":"InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models","version":6},"cited_work":{"arxiv_id":"2309.11911","doi":"10.48550/arxiv.2309.11911","metadata_source":"arxiv_reference","pith_arxiv_id":"2309.11911","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InConference on Empirical Methods in Natural Language Processing","venue":"arXiv (Cornell University)","work_id":"f96413dd-3191-431a-808a-c62427bd3814","year":2023},"citing_paper":{"arxiv_id":"2605.18884","last_updated":"2026-05-16T10:04:48Z","snapshot_observed_at":"2026-08-01T06:16:30.439623Z","submitted_at":"2026-05-16T10:04:48Z","title":"Navigating the Emotion Tree: Hierarchical Hyperbolic RAG for Multimodal Emotion Recognition","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-20T15:55:57.330888Z"},"links":{"cited_paper":"/paper/2309.11911","citing_paper":"/paper/2605.18884"},"observation_digest":"sha256:3f7c6b7fb64c9f144b408b878d8a1cafefebd20cf6c184488387efa7b2792746","observation_id":"262872f5-8ad9-4cbe-a102-d5b9c806a3fe","resolution":{"observed_at":"2026-05-20T15:58:32.644261Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.11911","last_updated":"2024-08-29T05:14:36Z","snapshot_observed_at":"2026-08-09T05:40:16.745549Z","submitted_at":"2023-09-21T09:22:07Z","title":"InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.11911","snapshot_observed_at":"2026-07-30T22:55:27.687973Z","title":"2309.11911 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.687973Z"},"links":{"cited_paper":"/paper/2309.11911","citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:cb2fb59547e214993aff973a3a53c2b970e2269ab09f03a4f65fcd4a17caa9e2","observation_id":"435682b6-f3cd-4119-8cb6-f05f1bf49b3f","resolution":{"observed_at":"2026-07-30T22:55:27.687973Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2309.11911/citation-record","integrity":"/paper/2309.11911/integrity","json":"/paper/2309.11911/citation-record.json","paper":"/paper/2309.11911"},"outbound":[],"paper":{"arxiv_id":"2309.11911","last_updated":"2024-08-29T05:14:36Z","latest_version":6,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T05:40:16.745549Z","submitted_at":"2023-09-21T09:22:07Z","title":"InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2309.11911."}