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Paper Citation Record · LEDGER

InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2309.11911.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2309.11911 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:40:10.618367Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

30
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 40723e38-41f0-41e3-b5b5-4176f1059dcc · inbound

SpikEmo: Enhancing Emotion Recognition With Spiking Temporal Dynamics in Conversations cites this paper.

SpikEmo: Enhancing Emotion Recognition With Spiking Temporal Dynamics in Conversations InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T15:48:47.849733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:48:47.849733Z digest=sha256:71744f5cb6a66be8cd169aee2e3f3a37d63effb32b12ec2105153d4b6cfb06a9

Observation b29b10d3-971a-4895-9046-42d59669d315 · inbound

SentiXRL: An advanced large language Model Framework for Multilingual Fine-Grained Emotion Classification in Complex Text Environment cites this paper.

SentiXRL: An advanced large language Model Framework for Multilingual Fine-Grained Emotion Classification in Complex Text Environment InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T11:31:54.574757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:31:54.574757Z digest=sha256:fe63aaffecfd96ee287d6e224f28f4effddbd1b39f68cdc83b6bd5ddd046407e

Observation 84d3364f-fb6b-4ade-b9be-fc82fdf8daf4 · inbound

EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion Understanding cites this paper.

EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion Understanding InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T18:21:40.008378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:21:40.008378Z digest=sha256:b1f4053d4904a60025e668c2ae940e467468e3ae526e01e35ca3af85777045ac

Observation 73e3cb67-49dc-4fd9-8440-7b50e96a670d · inbound

Multi-Dimensional Insights: Benchmarking Real-World Personalization in Large Multimodal Models cites this paper.

Multi-Dimensional Insights: Benchmarking Real-World Personalization in Large Multimodal Models InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T13:58:43.343235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:58:43.343235Z digest=sha256:b97d7b0c6f2aae0899af80b05cd62eb4ad8fd7608e1204e53b346c2857762913

Observation 6ed3c74e-c515-4243-adb1-0919e23f4274 · inbound

Progressive Multimodal Reasoning via Active Retrieval cites this paper.

Progressive Multimodal Reasoning via Active Retrieval InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T11:55:10.299308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:55:10.299308Z digest=sha256:3fe645c45a3ea63281009179c20b940617f43905943fe4051af03ad70fdeff31

Observation f9360898-5fea-44f2-b994-6b66b895481c · inbound

Omni-Emotion: Extending Video MLLM with Detailed Face and Audio Modeling for Multimodal Emotion Analysis cites this paper.

Omni-Emotion: Extending Video MLLM with Detailed Face and Audio Modeling for Multimodal Emotion Analysis InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T20:03:12.825830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:03:12.825830Z digest=sha256:0a19460d7d61f593ca87d28304dad9895054f10c3fa046f41b803a47a3bdc135

Observation de7d24b8-3521-42bc-9847-a4e490c75f82 · inbound

AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations cites this paper.

AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T18:37:19.320601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:37:19.320601Z digest=sha256:4132aaeff43d164a4608a615957b84c7e39d4b443b6818f70e7cbbb22a15c709

Observation 9a9eff98-cd8c-4ac7-9f4c-845af19b7c7c · inbound

SocialLM: Social Signal Processing of Patient-Provider Communication using LLMs and Contextual Aggregation cites this paper.

SocialLM: Social Signal Processing of Patient-Provider Communication using LLMs and Contextual Aggregation InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:05:00.382630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-22T17:04:00.508789Z digest=sha256:4fdfd97441a6f17e38fb31b655eafcd4c03be13f0bbc4264aff2a4145eec8254

Observation 200f13a6-785c-47f8-b91a-5eff891f837a · inbound

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning cites this paper.

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:04.761722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:06:04.761722Z digest=sha256:96261e0b01a5688ec9da25dc64d47339b881edc81b8be16e19e2f47f12bf18ad

Observation a45747df-38da-428c-8a7d-aeab1a315a57 · inbound

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects cites this paper.

Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T13:56:48.042095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:56:48.042095Z digest=sha256:45936ba6de9230a23cbacd883d6433306f88b79cd577e94f4df12b38db128fc0

Observation 2c4fef15-a255-40bb-9720-b2a4fad94c04 · inbound

Hidden in Plain Sight: Evaluation of the Deception Detection Capabilities of LLMs in Multimodal Settings cites this paper.

Hidden in Plain Sight: Evaluation of the Deception Detection Capabilities of LLMs in Multimodal Settings InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T04:53:37.216210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:53:37.216210Z digest=sha256:9899dc39e226948e7915890c039906fabb6512a9168798b3b29daf8832307ae1

Observation 397a76ec-5d1b-4f1f-8f59-0907843c9be1 · inbound

Do LLMs Feel? Teaching Emotion Recognition with Prompts, Retrieval, and Curriculum Learning cites this paper.

Do LLMs Feel? Teaching Emotion Recognition with Prompts, Retrieval, and Curriculum Learning InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:50:31.710371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-17T23:46:53.470418Z digest=sha256:23ab8192757f1323c345c65996fb1249ed24868f90ad06182ad119d724561d44

Observation f4fc09d1-312d-4289-92a9-cdb385d7804b · inbound

AffectAgent: Collaborative Multi-Agent Reasoning for Retrieval-Augmented Multimodal Emotion Recognition cites this paper.

AffectAgent: Collaborative Multi-Agent Reasoning for Retrieval-Augmented Multimodal Emotion Recognition InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:41:05.908512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T15:21:42.285340Z digest=sha256:ae404dd6845fc1311fa07d5ae69c04278682d2ed520b4ea44aba4ef30dc565ad

Observation 264654e1-d5eb-4c81-b911-2c07ce2b39a8 · inbound

Mechanistic Decoding of Cognitive Constructs in Large Language Models cites this paper.

Mechanistic Decoding of Cognitive Constructs in Large Language Models InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:15:21.968948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T12:13:25.350059Z digest=sha256:0ab0cd5819ae97d4df8d0d7eeeeedf162daa772048c592f551a53c538b267693

Observation d5eb1ac7-447c-455b-b144-87ecb0d8c148 · inbound

Watching Movies Like a Human: Egocentric Emotion Understanding for Embodied Companions cites this paper.

Watching Movies Like a Human: Egocentric Emotion Understanding for Embodied Companions InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T08:53:04.288420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T08:49:33.107658Z digest=sha256:fa77eea0806f1994a82c0d45b78ca35ef5b6eb57e54d209e16b552ac95f224ee

Observation 152e0a16-71ca-4a13-bcc2-ec4077630995 · inbound

To Fuse or to Drop? Dual-Path Learning for Resolving Modality Conflicts in Multimodal Emotion Recognition cites this paper.

To Fuse or to Drop? Dual-Path Learning for Resolving Modality Conflicts in Multimodal Emotion Recognition InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 63

Resolution
metadata mismatch
arxiv_id, observed 2026-05-08T20:49:10.766345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T15:53:39.901521Z digest=sha256:e5799f53715343bbd2dcf0925dc08c64a39a3757ecc3c2929d423f0ab562c8f8

Observation 262872f5-8ad9-4cbe-a102-d5b9c806a3fe · inbound

Navigating the Emotion Tree: Hierarchical Hyperbolic RAG for Multimodal Emotion Recognition cites this paper.

Navigating the Emotion Tree: Hierarchical Hyperbolic RAG for Multimodal Emotion Recognition InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:58:32.644261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T15:55:57.330888Z digest=sha256:05de88dce1a8a93ab35ba84fdadd2e7b5980b5c860725e7f0853eef46ba661cc

Observation 435682b6-f3cd-4119-8cb6-f05f1bf49b3f · inbound

AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation cites this paper.

AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-30T22:55:27.687973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T22:55:27.687973Z digest=sha256:3a9f8f9662a7fa008067384fcf8f0d033a8aa26d1b03ecb538836ac6c84ed4f4

Observation faff2813-741b-49f4-a049-62d7282b0e4b · inbound

NTDH: Complex Reasoning for Comprehensive Affective Analysis cites this paper.

NTDH: Complex Reasoning for Comprehensive Affective Analysis InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T14:40:10.618367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:40:10.618367Z digest=sha256:d32e1dfb2405406a6bc3cd9e840a1c1bce4517305c8e6effcd1709041d53fff3