Paper Citation Record · LEDGER

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge

As of 17 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2505.18217.

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

pith.paper-citation-record.v1
2505.18217 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:47:56.357929Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:47:52.915403Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:47:56.896522Z

Reference resolution

46 of 46 outbound references displayed

verified exact1
verified fuzzy35
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 202bd94d-7256-4022-a18a-9a7d7657718d · outbound

This paper cites Abhinaya.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Abhinaya

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:04.430163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5b10604f-ffc0-436d-b255-44acb57484bf · outbound

This paper cites ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:47:57.079269Z

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Observation c158acf4-7186-4410-b131-80f4ed968ae3 · outbound

This paper cites neutral”) almost26 times that of the minority class (“fear.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge neutral”) almost26 times that of the minority class (“fear

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:04.273704Z

Source-reported events for the cited work

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Observation d25460d5-04ff-47dd-86c2-2aa7eb95b237 · outbound

This paper cites happy”, “angry.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge happy”, “angry

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:04.101141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation eb1cc797-35d3-4c39-846c-73297c1de099 · outbound

This paper cites Our approach com- bines five models leveraging large language models (LLMs) and speech large language models (SLLMs)—two speech-based, two text-based, and one multimodal model.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Our approach com- bines five models leveraging large language models (LLMs) and speech large language models (SLLMs)—two speech-based, two text-based, and one multimodal model

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:03.889922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e1aeef01-b448-4b11-8ee9-fefbab23c85c · outbound

This paper cites Two decades of speaker recognition eval- uation at the national institute of standards and technology,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Two decades of speaker recognition eval- uation at the national institute of standards and technology,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:03.652141Z

Source-reported events for the cited work

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Observation b1662496-0f83-4929-bc3a-3b706023c531 · outbound

This paper cites The 2022 NIST Language Recognition Evaluation,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge The 2022 NIST Language Recognition Evaluation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:03.515068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 595ae575-818a-4fa8-b95e-4423b55fb782 · outbound

This paper cites The Third DIHARD Diarization Challenge,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge The Third DIHARD Diarization Challenge,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:03.321584Z

Source-reported events for the cited work

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Observation b3632f87-b2c0-47fc-8982-a0697ef15da0 · outbound

This paper cites Summary of the DISPLACE challenge 2023- DIarization of SPeaker and LAnguage in Conversational Environ- ments,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Summary of the DISPLACE challenge 2023- DIarization of SPeaker and LAnguage in Conversational Environ- ments,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:03.165280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation be527bf1-c0e4-4ee5-a79a-0497ba270367 · outbound

This paper cites DiCOV A Challenge: Dataset, Task, and Base- line System for COVID-19 Diagnosis Using Acoustics,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge DiCOV A Challenge: Dataset, Task, and Base- line System for COVID-19 Diagnosis Using Acoustics,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:02.928249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e6f9bd19-1b5a-4b2f-950f-8a6ebffe779d · outbound

This paper cites The second DICOV A challenge: Dataset and performance analysis for diagnosis of COVID-19 using acous- tics,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge The second DICOV A challenge: Dataset and performance analysis for diagnosis of COVID-19 using acous- tics,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:02.817253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bcf26fa0-6d03-448f-b33d-298f105774c9 · outbound

This paper cites The VOiCES from a Distance Challenge 2019,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge The VOiCES from a Distance Challenge 2019,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:02.581353Z

Source-reported events for the cited work

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Observation ed9194f7-afe6-4d92-a3de-f4ea31418d5f · outbound

This paper cites CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:02.429464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 656db21a-a27e-4347-81fa-67725498eabf · outbound

This paper cites The INTERSPEECH 2009 emotion challenge,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge The INTERSPEECH 2009 emotion challenge,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:02.242660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d4733203-cbf9-4cd9-b3f0-fbfcf517a319 · outbound

This paper cites Avec 2011–the first international audio/visual emotion challenge,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Avec 2011–the first international audio/visual emotion challenge,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:02.107165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 593aa24f-ace7-42f3-8ac1-00a670eb72af · outbound

This paper cites MUSE 2020 challenge and workshop: Multi- modal sentiment analysis, emotion-target engagement and trust- worthiness detection in real-life media: Emotional car reviews in- the-wild,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge MUSE 2020 challenge and workshop: Multi- modal sentiment analysis, emotion-target engagement and trust- worthiness detection in real-life media: Emotional car reviews in- the-wild,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:01.933786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 959c5df3-8205-47d4-afdd-6512e2ac03f8 · outbound

This paper cites IEMOCAP: Interactive emotional dyadic motion capture database,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge IEMOCAP: Interactive emotional dyadic motion capture database,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:01.792447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b25cb24c-ec1a-4b99-9c4a-adf14beef96a · outbound

This paper cites MSP-IMPROV: An acted corpus of dyadic interactions to study emotion perception,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge MSP-IMPROV: An acted corpus of dyadic interactions to study emotion perception,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:01.639466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 256ad222-8d14-4ccc-a262-c38aa2742699 · outbound

This paper cites Building naturalistic emotionally bal- anced speech corpus by retrieving emotional speech from existing podcast recordings,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Building naturalistic emotionally bal- anced speech corpus by retrieving emotional speech from existing podcast recordings,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:47:54.502838Z

Source-reported events for the cited work

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Observation 8eddbca9-6236-4be7-9ae8-5a8f2b95feff · outbound

This paper cites Odyssey 2024 - Speech Emotion Recog- nition Challenge: Dataset, Baseline Framework, and Results,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Odyssey 2024 - Speech Emotion Recog- nition Challenge: Dataset, Baseline Framework, and Results,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:01.517368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9702ed02-74fd-4294-8c75-065d297ea3e0 · outbound

This paper cites The Interspeech 2025 Challenge on Speech Emotion Recognition in Naturalistic Conditions,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge The Interspeech 2025 Challenge on Speech Emotion Recognition in Naturalistic Conditions,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:01.363875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4748135b-9c08-48ae-86ea-f91b5afe8cfe · outbound

This paper cites Leveraging Content and Acoustic Representations for Speech Emotion Recognition.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Leveraging Content and Acoustic Representations for Speech Emotion Recognition

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:47:56.688439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fff1cc2d-a53a-4ace-a1bb-a840ff11d788 · outbound

This paper cites WavLM: Large-scale self-supervised pre-training for full stack speech processing,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge WavLM: Large-scale self-supervised pre-training for full stack speech processing,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:01.216938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0298807d-8a67-46e6-96ee-f6d7d53278a1 · outbound

This paper cites SALMONN: Towards Generic Hearing Abilities for Large Language Models,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge SALMONN: Towards Generic Hearing Abilities for Large Language Models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:01.060701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6a321bfa-c461-401f-8976-5365a6467b75 · outbound

This paper cites Robust speech recognition via large-scale weak supervision,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Robust speech recognition via large-scale weak supervision,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:00.889117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 832151a6-d841-4db7-af31-2790db2d08a7 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:00.711634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation aca438cf-26e6-4b09-a64e-da1fa05ec5c3 · outbound

This paper cites HuBERT: Self-supervised speech representa- tion learning by masked prediction of hidden units,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge HuBERT: Self-supervised speech representa- tion learning by masked prediction of hidden units,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:00.560129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 535f143c-626e-42fc-ad69-c8c89c3d3684 · outbound

This paper cites Emotion recognition from speech using wav2vec 2.0 embeddings,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Emotion recognition from speech using wav2vec 2.0 embeddings,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:00.393789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6907381d-d28d-458c-9d48-5a1a21106c9b · outbound

This paper cites HCAM -- Hierarchical Cross Attention Model for Multi-modal Emotion Recognition.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge HCAM -- Hierarchical Cross Attention Model for Multi-modal Emotion Recognition

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:47:55.349567Z

Source-reported events for the cited work

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Observation 87126b9d-064f-4fbd-b4b5-d5c50f15ebb6 · outbound

This paper cites Cross-corpus speech emotion recognition with hubert self-supervised representation,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Cross-corpus speech emotion recognition with hubert self-supervised representation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:00.178450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e1cd10b2-c257-497c-a881-6afafeb06059 · outbound

This paper cites Sentiment Analysis in the Era of Large Lan- guage Models: A Reality Check,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Sentiment Analysis in the Era of Large Lan- guage Models: A Reality Check,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:59.951344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2d189dd6-ead4-46ae-af79-a67e5ba7d5bf · outbound

This paper cites LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations

Reference 32

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Observation 4e7b893b-a818-4e4c-9bc6-d49b74f6d837 · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:47:55.596073Z

Source-reported events for the cited work

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Observation 7f3f11a1-fe3c-407a-b016-b5a2468ccc36 · outbound

This paper cites WavLLM: Towards robust and adaptive speech large language model,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge WavLLM: Towards robust and adaptive speech large language model,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:59.667007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e6cf3998-ded1-4030-8ecb-288596be47b9 · outbound

This paper cites Focal loss for dense object detection,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Focal loss for dense object detection,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:59.326740Z

Source-reported events for the cited work

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Observation 75d5ea49-c8d3-4edd-95fc-c6ef45ad4ce0 · outbound

This paper cites Label-imbalanced and group-sensitive classifi- cation under overparameterization,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Label-imbalanced and group-sensitive classifi- cation under overparameterization,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:58.910998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a6cec157-bad8-49f0-8cb0-00cbd47ff1d2 · outbound

This paper cites Attentive statistics pooling for deep speaker embedding,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Attentive statistics pooling for deep speaker embedding,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:58.630064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 974be5b6-f336-4c92-a46a-147825af4b76 · outbound

This paper cites BEATs: Audio Pre-Training with Acoustic To- kenizers,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge BEATs: Audio Pre-Training with Acoustic To- kenizers,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:58.381292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7d1e83ef-c120-4269-93ff-525a6d6dcfb4 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge LLaMA: Open and Efficient Foundation Language Models

Reference 39

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Observation 1bd6ce75-d18d-44f6-b791-91227ccbc9d6 · outbound

This paper cites BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:58.188868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3199b8f6-f279-4d76-b8c8-09c85cdd7a73 · outbound

This paper cites The Llama 3 Herd of Models.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge The Llama 3 Herd of Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:47:56.053549Z

Source-reported events for the cited work

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Observation 685f2c5e-a305-4a28-ae3e-acd55f3e4765 · outbound

This paper cites Decoupled weight de- cay regularization,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Decoupled weight de- cay regularization,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:57.857139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a151de44-5add-4815-ba84-85bfc5dae310 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models,.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge LoRA: Low-Rank Adaptation of Large Language Models,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:57.496061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6a2e35fe-8403-4465-87e7-30bb79b84f6d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T14:47:56.229114Z

Source-reported events for the cited work

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Observation 0bbc54c4-58e8-4a83-a047-f55cb8834389 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Gemini: A Family of Highly Capable Multimodal Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:47:56.292157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f0fce79-8693-46a8-a5ca-15bafd22857c · outbound

This paper cites GPT-4 Technical Report.

ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge GPT-4 Technical Report

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T14:47:56.357929Z

Source-reported events for the cited work

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Pith citing papers

Observation 5b10604f-ffc0-436d-b255-44acb57484bf · inbound