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Paper Citation Record · LEDGER

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition

As of 10 August 2026, this Paper Citation Record lists 100 of 127 outbound references and 0 inbound Pith citation observations for arXiv:2607.14769.

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

pith.paper-citation-record.v1
2607.14769 v1

Coverage vector

measured 100 of 127 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:09:12.999680Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 127 outbound references displayed

  • verified exact15
  • verified fuzzy0
  • unresolved84
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96843ea3-fd81-4256-ac88-9bae89fca36f · outbound

This paper cites Emotion in the Workplace: A Reappraisal , volume =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Emotion in the Workplace: A Reappraisal , volume =

Reference 1

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source=arxiv_source observed=2026-08-02T01:09:00.064359Z digest=sha256:be0993ed827760a47465eec7b4c3477b08ee6a08d2ffd8e7599a4ce3f465d63d

Observation 06e80b57-5e8d-4031-9012-b80e5fbf0b53 · outbound

This paper cites LLM aided semi-supervision for efficient Extractive Dialog Summarization.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition LLM aided semi-supervision for efficient Extractive Dialog Summarization

Reference 2

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doi, observed 2026-08-02T01:14:13.980475Z

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source=arxiv_source observed=2026-08-02T01:09:00.154511Z digest=sha256:666c981ed439cbd11421ea700614cd6ef5f4aa6c49cf511b9f7e001e94a84723

Observation ff15e936-9c52-4597-a3cb-de85287c16e6 · outbound

This paper cites SAMS um Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition SAMS um Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization

Reference 3

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source=arxiv_source observed=2026-08-02T01:09:00.232713Z digest=sha256:84294b0faffea75b17ed4a4035365adbc442e21ccef701f5b491bb2451d8f490

Observation f4d656f4-a54d-4268-b3de-69c97f64316c · outbound

This paper cites Zero-Shot Strategies for Length-Controllable Summarization.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Zero-Shot Strategies for Length-Controllable Summarization

Reference 4

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source=arxiv_source observed=2026-08-02T01:09:00.357621Z digest=sha256:21eee0de72b0b683fadb74d9ad1d9afaf6cb82f693af1f39d64c3f5a18560143

Observation b4a67c13-9607-4e47-8393-b9ebd1257a8d · outbound

This paper cites U ni S umm and S umm Z oo: Unified Model and Diverse Benchmark for Few-Shot Summarization.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition U ni S umm and S umm Z oo: Unified Model and Diverse Benchmark for Few-Shot Summarization

Reference 5

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source=arxiv_source observed=2026-08-02T01:09:00.491890Z digest=sha256:a42618291bdfa3771278bb0cae94591693517252ca39923c739e88c1a75dd926

Observation fd540787-6afc-4540-bd5a-a3c46593c9fc · outbound

This paper cites Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias

Reference 6

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source=arxiv_source observed=2026-08-02T01:09:00.571044Z digest=sha256:b330ae35dbde94cf74edfd8a9b880bd73a68dc9430f8dc23ff53f5cf9a5f2869

Observation 14638d6a-283d-47ae-b1d2-15fa41c4bf66 · outbound

This paper cites AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models , year=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models , year=

Reference 7

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source=arxiv_source observed=2026-08-02T01:09:00.712280Z digest=sha256:39c391d6c4bac7872e95119839e45c0f58b7ffa6478a1f365599bb531a564aeb

Observation 823a7576-c7dd-4695-9624-0ec36a3258d6 · outbound

This paper cites Dialogue: The complex whole , volume =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Dialogue: The complex whole , volume =

Reference 8

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source=arxiv_source observed=2026-08-02T01:09:00.851578Z digest=sha256:2520a33aabcf30bd2a4d880fd2c463a632e251d099355100a97d4c0d785e8a0b

Observation 2f8ef2d5-97a8-45a8-9e2b-38c21a87a0c1 · outbound

This paper cites Cognition and Emotion , volume =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Cognition and Emotion , volume =

Reference 9

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source=arxiv_source observed=2026-08-02T01:09:01.105171Z digest=sha256:d62ee83b656b78a3a754c85301c05c3f8f249f0c53b5016215c845c484931281

Observation a25f1cb6-3119-4afa-87a6-00d6fc8b76bb · outbound

This paper cites A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents

Reference 10

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source=arxiv_source observed=2026-08-02T01:09:01.300968Z digest=sha256:8c28e627c15486bb222876b5c25f8e4b9f678e76cd1a777bc7538402c0976470

Observation d713807f-8ce5-4005-b0a4-f7364dcc06d8 · outbound

This paper cites Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances

Reference 11

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source=arxiv_source observed=2026-08-02T01:09:01.437664Z digest=sha256:a337ca32b36d54894f6768f0b4d8417d81bcbd5a0f06bee434de0e7927b645d4

Observation 3f74d3df-b131-4dae-9ef3-eef9ebf2f5c7 · outbound

This paper cites The Ripple Effect: Emotional Contagion In Groups , volume =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition The Ripple Effect: Emotional Contagion In Groups , volume =

Reference 12

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source=arxiv_source observed=2026-08-02T01:09:01.591362Z digest=sha256:dc2391949179c3f2f0f5dffe42863f8909612ee2bc6c8134a2509bffcbb55a29

Observation 79b92a20-3b52-4b94-a7fd-4ac141a92e48 · outbound

This paper cites British Journal of Psychology , volume =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition British Journal of Psychology , volume =

Reference 13

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source=arxiv_source observed=2026-08-02T01:09:01.717970Z digest=sha256:f1d8d77e5d5c6dcf25345b28998d72da3d0f5550c0c567180014495da131709a

Observation 0fd47232-5ce9-4a99-8d2a-0ef95c00514a · outbound

This paper cites , year =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition , year =

Reference 14

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source=arxiv_source observed=2026-08-02T01:09:01.843423Z digest=sha256:90ecf6e14d22d480bcf9b204bc7b3d9330807a07e365bc27ca471768b6b1c646

Observation cd41f12e-5ffb-4ec3-b9aa-933bf18a1681 · outbound

This paper cites 1971 , address =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 1971 , address =

Reference 15

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source=arxiv_source observed=2026-08-02T01:09:01.975309Z digest=sha256:36f1be793dd7bf5e8876456dad6ee030cfc8561e81ae4f964a836d9a9534f24e

Observation 6a7f7d03-5a13-4402-8531-1718e74effb9 · outbound

This paper cites and Dorris, Alana D.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition and Dorris, Alana D

Reference 16

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source=arxiv_source observed=2026-08-02T01:09:02.134470Z digest=sha256:df175d3bfd6ec4d0c107259f525e7202424cad61c053f35deea25c4be3bbe0f3

Observation cbc2205d-3f84-4d63-a248-928ba32334e0 · outbound

This paper cites Emotions in meeting talk , isbn =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Emotions in meeting talk , isbn =

Reference 17

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source=arxiv_source observed=2026-08-02T01:09:02.258238Z digest=sha256:6a6f07e5e66684279590c7e4adf6a861fe312bdadd5d86af8fa078448d87cb42

Observation d13789eb-dcce-402f-88c2-11c05f5069ef · outbound

This paper cites , title =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition , title =

Reference 18

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source=arxiv_source observed=2026-08-02T01:09:02.387315Z digest=sha256:d3934df474501441b90395867f9b8a8766038313022a69739a9fd633fd1b7f7a

Observation fd857154-2ee5-4a2d-a24f-4558aa9a1db9 · outbound

This paper cites Perspectives on Psychological Science , year=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Perspectives on Psychological Science , year=

Reference 19

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source=arxiv_source observed=2026-08-02T01:09:02.529779Z digest=sha256:02babd55e73293564a1522f8b0964093becef92d0808e3f479f613c04e97ed75

Observation 2ff5e110-5d77-4009-9ccf-d696573138e2 · outbound

This paper cites Emotional Dynamics and Strategizing Processes: A Study of Strategic Conversations in Top Team Meetings , volume =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Emotional Dynamics and Strategizing Processes: A Study of Strategic Conversations in Top Team Meetings , volume =

Reference 20

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source=arxiv_source observed=2026-08-02T01:09:02.693746Z digest=sha256:4f3595067c10231bef13b55d09d954f1a4899f4cbd11c5335659d0eb6827b8ac

Observation e9e4083f-fe65-4914-a5e3-8d72d20040fb · outbound

This paper cites Current Psychology , year =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Current Psychology , year =

Reference 21

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source=arxiv_source observed=2026-08-02T01:09:02.828258Z digest=sha256:988d0e0a0f3fb7f01f7bd8205d192268376ae1986dff57abcd20727dcbc41dcc

Observation 779e8f91-b35b-4b48-8763-45fb0a1ca9ea · outbound

This paper cites A survey of dialogic emotion analysis: Developments, approaches and perspectives , journal =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition A survey of dialogic emotion analysis: Developments, approaches and perspectives , journal =

Reference 22

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source=arxiv_source observed=2026-08-02T01:09:02.971196Z digest=sha256:cbe2a2aedb5ba616d766a0c64634313b144ec39c71d0e5fc540ac0bf5f87d816

Observation c13e4da7-e329-4dc7-8b7a-2d12893a9db2 · outbound

This paper cites Trends in cognitive sciences , volume=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Trends in cognitive sciences , volume=

Reference 23

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source=arxiv_source observed=2026-08-02T01:09:03.143786Z digest=sha256:340ddb055425de31ea59273eb1e596e564822085eb4ed9cf289b035575488f4a

Observation ee374127-9bf7-4866-9c2a-57774d2a7920 · outbound

This paper cites 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII) , year=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII) , year=

Reference 24

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source=arxiv_source observed=2026-08-02T01:09:03.291780Z digest=sha256:3e37ecde7f80a0484fbf28e35c254879fdf55283b0048459216246493e784806

Observation e259a36b-124e-447f-9d05-3d31b92110fb · outbound

This paper cites Language and Speech , year =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Language and Speech , year =

Reference 25

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source=arxiv_source observed=2026-08-02T01:09:03.419330Z digest=sha256:c42706f82fe1850db0da60a611c5a6770a94972f3d0134d1b10e8984041ff340

Observation 9e02f9a1-f590-4a4d-9a01-b170c106c000 · outbound

This paper cites 2022 , eprint=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 2022 , eprint=

Reference 26

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source=arxiv_source observed=2026-08-02T01:09:03.539960Z digest=sha256:83ab6d2ac508ccccbdb364c80c4f24151762db88fe674c9f23e5e6d8dedd46dd

Observation 40acd185-4cbc-403a-a65b-be7fbfbaf2e1 · outbound

This paper cites Proceedings of INTERSPEECH , year =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Proceedings of INTERSPEECH , year =

Reference 27

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source=arxiv_source observed=2026-08-02T01:09:03.665951Z digest=sha256:8ed9e3dee76f0a2ccc6e906fb0a4789513ce639651ebf115ef170bf738b6c82a

Observation 3d9c240f-2be0-446f-b735-8cd4cfec5871 · outbound

This paper cites Dialogue Summarization with Mixture of Experts based on Large Language Models.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Dialogue Summarization with Mixture of Experts based on Large Language Models

Reference 28

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source=arxiv_source observed=2026-08-02T01:09:03.783624Z digest=sha256:027ffabc313dfb3c62f06068483ea8582a7314bd05ad429f38c538a38d14391d

Observation 5c83b553-dd5a-459c-9b29-aefa6dae5fc1 · outbound

This paper cites DialogueMLLM: Transforming Multimodal Emotion Recognition in Conversation Through Instruction-Tuned MLLM , volume =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition DialogueMLLM: Transforming Multimodal Emotion Recognition in Conversation Through Instruction-Tuned MLLM , volume =

Reference 29

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source=arxiv_source observed=2026-08-02T01:09:03.968010Z digest=sha256:0b8492037dd9e677f7928ee423a4b3c9cb94c46b988f499992cc2fb19b86ecb1

Observation 30da3275-baba-415d-a6c3-9fde5438a5df · outbound

This paper cites Proceedings of the National Academy of Sciences of the United States of America , volume =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Proceedings of the National Academy of Sciences of the United States of America , volume =

Reference 30

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source=arxiv_source observed=2026-08-02T01:09:04.112057Z digest=sha256:e84a614ff77f4731caab542ce7ef00ca2fa1da6f903dd621889c012aa6d081a2

Observation 67cd8d33-c165-43fb-874b-e73a8db5118b · outbound

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Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Unresolved cited work

Reference 31

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source=arxiv_source observed=2026-08-02T01:09:04.230517Z digest=sha256:e338822166268b6a60195604aa101443b2de8e5142e73fa9c7ab0ce063e8f4c3

Observation 69d2cdbe-b9d6-45b4-8c2a-26d5dadb86d6 · outbound

This paper cites Oxford Research Encyclopedia of Psychology , year =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Oxford Research Encyclopedia of Psychology , year =

Reference 32

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source=arxiv_source observed=2026-08-02T01:09:04.346796Z digest=sha256:6255f53d2f6f2c4573c924d72a0836d9f176d3813864de9571a2f4711a7ef48e

Observation 1c9950c2-718e-4bc3-86b8-13d49fd2be1c · outbound

This paper cites Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization

Reference 33

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source=arxiv_source observed=2026-08-02T01:09:04.474194Z digest=sha256:49f2fa644bf141d80882387460b1fb825c9cd6070b580c12e525ea93b0e35925

Observation 8b97449a-c1ad-4931-a6f9-7be48a03f012 · outbound

This paper cites , author=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition , author=

Reference 34

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source=arxiv_source observed=2026-08-02T01:09:04.587090Z digest=sha256:d3b974e0e17813b32b0bb23a377ae3f0bf2445a423befcf320e5831f58951ca6

Observation 05855def-b805-4869-a18e-e1c772be6717 · outbound

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Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition , journal=

Reference 35

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source=arxiv_source observed=2026-08-02T01:09:04.710578Z digest=sha256:ad966d44c37f08e89d3748fafb00c12ebe37e9ad19b604ef8790d168bc112629

Observation 58098ca1-b83f-4851-8b09-d480dff913aa · outbound

This paper cites McCowan and J.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition McCowan and J

Reference 36

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source=arxiv_source observed=2026-08-02T01:09:04.844857Z digest=sha256:57211a7696a498bda94e01dc8891f5f3c05da0673266d862edfa6e484e99bcd0

Observation 8d79e316-f63b-4d22-aa5e-9a92854dfe7e · outbound

This paper cites Mroz and Joseph A.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Mroz and Joseph A

Reference 37

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-02T01:09:04.978746Z digest=sha256:00dec7c79d97db73c35e250a51eb27153a03dc42135307388bef23bc054bf1ca

Observation 45b01766-e579-4b8c-a87c-9286ebf19668 · outbound

This paper cites The Journal of Business Communication (1973) , volume =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition The Journal of Business Communication (1973) , volume =

Reference 38

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source=arxiv_source observed=2026-08-02T01:09:05.106425Z digest=sha256:a2d5808d4e0959785fe7b0602c0d398b81d66ff913b56029af29696bf5a180ed

Observation 70261987-883a-4dfa-92eb-fb021f08f8b5 · outbound

This paper cites Emotion Review , volume =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Emotion Review , volume =

Reference 39

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-02T01:09:05.238411Z digest=sha256:95dfbbe0a4ec84d41261b57c34817d437811732f8a3878e65f1a986d1e8ad92d

Observation 16e02cd8-3e2a-4b4e-a6a2-7aac3d5139d8 · outbound

This paper cites Predicting Meeting Success With Nuanced Emotions , year=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Predicting Meeting Success With Nuanced Emotions , year=

Reference 40

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source=arxiv_source observed=2026-08-02T01:09:05.409090Z digest=sha256:af065560a4b9670eb5f5c98dd823b3a51320e5753d35f4c6a31481fa45572093

Observation 12a79de7-11b5-4b8b-b8ea-4278dd2ad2e7 · outbound

This paper cites Pollmann and Carla A.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Pollmann and Carla A

Reference 41

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source=arxiv_source observed=2026-08-02T01:09:05.540651Z digest=sha256:3ae2c87d391309ccec5bad98aab69550312d9cfed53e960aff71293bc30a6fb8

Observation b3ebc63a-625c-4911-9414-babf61da8934 · outbound

This paper cites Wiebe and Rebecca F.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Wiebe and Rebecca F

Reference 42

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source=arxiv_source observed=2026-08-02T01:09:05.644187Z digest=sha256:6df84c84f62918489352791780f1442117ed83b9365b85039d1bdcbb82db353c

Observation 05d10c7d-d6da-4e6e-bad5-36ff2ea7e2ea · outbound

This paper cites Paul , title=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Paul , title=

Reference 43

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source=arxiv_source observed=2026-08-02T01:09:05.687227Z digest=sha256:bb34d2d941b42661ebc9cb667f580ad95af4908bd36570c5ef3d5ca30b83b73f

Observation 08923c76-cbd2-43cb-a0b9-bc56e42779ed · outbound

This paper cites an unresolved cited work.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Unresolved cited work

Reference 44

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source=arxiv_source observed=2026-08-02T01:09:05.733627Z digest=sha256:191ac4866ddfffdfdd930d0f27c77bc1ed9bb953e9930a6711dd13ac8d69f467

Observation 832c2905-8930-44c6-ab7b-549b4e1e3436 · outbound

This paper cites , title=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition , title=

Reference 45

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source=arxiv_source observed=2026-08-02T01:09:05.800771Z digest=sha256:2d290b7411e7c86f77301c5be87bac4badf0fbe2e0bfddc28001126d76646717

Observation b311b4f0-8d83-4a3a-85c2-8fc0326cc4af · outbound

This paper cites Discourse & Society , volume=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Discourse & Society , volume=

Reference 46

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source=arxiv_source observed=2026-08-02T01:09:05.849901Z digest=sha256:676f3370c06f5f48168b137fb7e186186167dd39213ec8e687d1e470efca4dab

Observation 38678cce-7bac-49b8-83c2-a8e95905681c · outbound

This paper cites Social IQ a: Commonsense Reasoning about Social Interactions.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Social IQ a: Commonsense Reasoning about Social Interactions

Reference 47

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:05.901518Z digest=sha256:205a0a436b6cf80f9ed4412f4f4010e88afef76095de9461d74f9ae0f5bd3956

Observation 3974378d-c587-476e-b0a3-997434eb4867 · outbound

This paper cites , title=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition , title=

Reference 48

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:05.950903Z digest=sha256:d3e6a1e84684c62028412e986adee166f406559586c04bb7c592ff32eebf536c

Observation 621febb4-2cfb-4c62-948b-66b196e46973 · outbound

This paper cites Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization

Reference 49

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source=arxiv_source observed=2026-08-02T01:09:06.007299Z digest=sha256:5d1ff5800d37408482adad68aaf82616d2f5f09dcbb5579bbcd11d1e78c8128c

Observation d1d7c693-be2f-4110-a04c-093b6d3a2c97 · outbound

This paper cites and Zakariah, Mohammed and Almazyad, Abdulaziz , journal=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition and Zakariah, Mohammed and Almazyad, Abdulaziz , journal=

Reference 50

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T01:09:06.055787Z digest=sha256:c24fe662cf0136b6b896035e7bb54d374dc011384689e862c257abd762faebed

Observation 13e1bf81-59a2-4fee-88a2-72d7c49a53ab · outbound

This paper cites Current Directions in Psychological Science , volume =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Current Directions in Psychological Science , volume =

Reference 51

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-02T01:09:06.143990Z digest=sha256:821967ff29ebd3ff2ad5d010d2cfdfc14648db54c18d993a8cccdd8b54074476

Observation c6838fae-d5c4-4b14-8220-f82149e47354 · outbound

This paper cites Emotionally-Aware Agents for Dispute Resolution.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Emotionally-Aware Agents for Dispute Resolution

Reference 52

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:06.210722Z digest=sha256:c5b9967f5add3921491236582f1c40bd55fe66ebfb9bc1e5646fa0cd980366cd

Observation 28293a06-48ac-4bce-b8bf-f11c27ea3056 · outbound

This paper cites How did we get here? Summarizing conversation dynamics.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition How did we get here? Summarizing conversation dynamics

Reference 53

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-02T01:09:06.265189Z digest=sha256:e953bf1f4882b691a38d46a53a0d39d8c6ac47ccdf5a4e08781a2e8c42011e15

Observation e79879dc-48f5-4fc9-a49b-272659febeed · outbound

This paper cites Dialogue acts enhanced extract–abstract framework for meeting summarization , journal =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Dialogue acts enhanced extract–abstract framework for meeting summarization , journal =

Reference 54

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T01:09:06.315445Z digest=sha256:dc3c9e1f91150f73c956f655c85045f4b8a46a670339b99aa0d86abe3b842b14

Observation 002d7a85-dde7-4cfc-8ebc-b110626b3563 · outbound

This paper cites 2024 , eprint=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 2024 , eprint=

Reference 55

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source=arxiv_source observed=2026-08-02T01:09:06.442352Z digest=sha256:271405a6a14187b4554cbae11ad8ddbb4d48d64228908a06d8cf1c86f82a172f

Observation dd7b2e71-4442-438d-8be3-52807758a287 · outbound

This paper cites Extractive summarization of multi-party meetings through discourse segmentation , volume =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Extractive summarization of multi-party meetings through discourse segmentation , volume =

Reference 56

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source=arxiv_source observed=2026-08-02T01:09:06.593962Z digest=sha256:a5eb93b7fa1d007e115d6c67be72546b456ae7f664f6b9943923b132b7271a68

Observation 25b4bb9b-928c-4053-a235-9402994842a5 · outbound

This paper cites A topic modeling based approach to novel document automatic summarization , journal =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition A topic modeling based approach to novel document automatic summarization , journal =

Reference 57

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-02T01:09:06.685286Z digest=sha256:a6b6ac9643d6f018e30bc3e0d368113c8de5c22c9b81c6fdb7dfc16940030bc8

Observation 9a5b1aae-2020-4e73-a3c9-d1da98f19919 · outbound

This paper cites and Baron, D.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition and Baron, D

Reference 58

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source=arxiv_source observed=2026-08-02T01:09:06.743841Z digest=sha256:ae60d295e77f03231a19e523a1f6d4c6592728bd7b23acd2fb8190bd0afdf765

Observation afa26516-bf77-44f6-ac03-1a0b6dc56d8d · outbound

This paper cites ClusterRank: A Graph Based Method for Meeting Summarization , journal =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition ClusterRank: A Graph Based Method for Meeting Summarization , journal =

Reference 59

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source=arxiv_source observed=2026-08-02T01:09:06.789506Z digest=sha256:b1280edbe6b726a605a3e682a36a070432575ff5e992a8b2a86e40793f6105ac

Observation ad937eca-e799-46ab-9dc5-b2b7ec4ead80 · outbound

This paper cites Hierarchical Attention Adapter for Abstractive Dialogue Summarization.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Hierarchical Attention Adapter for Abstractive Dialogue Summarization

Reference 60

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source=arxiv_source observed=2026-08-02T01:09:06.985121Z digest=sha256:91130cf5c18febefc743afb3c18fabd6fbe602cf73dedb804cd77acea1d6d9fa

Observation eb9e5818-6fa7-4fc3-b727-157959d83853 · outbound

This paper cites ACL , year=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition ACL , year=

Reference 61

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source=arxiv_source observed=2026-08-02T01:09:07.174791Z digest=sha256:ad0a604b1cda670ed51009724854fb2129b823acdde461bd35783961b851a5f5

Observation ebba6da5-1bac-4f18-bde7-b7e4c9d9ae6d · outbound

This paper cites D ialog S um: A Real-Life Scenario Dialogue Summarization Dataset.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition D ialog S um: A Real-Life Scenario Dialogue Summarization Dataset

Reference 62

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source=arxiv_source observed=2026-08-02T01:09:07.306122Z digest=sha256:fddcaf2e42e67f1dc64b200d96241a4de4e4e9da128a6a6ae3d4ae53853d76c8

Observation 75d17a29-880f-484d-87dc-2931a1972145 · outbound

This paper cites NAACL , year=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition NAACL , year=

Reference 63

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source=arxiv_source observed=2026-08-02T01:09:07.454815Z digest=sha256:cadb608f25d39afaf891f203c4e21146b4f9922e5c3e64a517f62a96ff958ba6

Observation 9c3e2d32-b869-4b54-8abc-395b7469a112 · outbound

This paper cites EMNLP , year=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition EMNLP , year=

Reference 64

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source=arxiv_source observed=2026-08-02T01:09:07.533169Z digest=sha256:f68138c54ecebc003b0b53f02de1da716bded176c879739a5db99abf12bbec8a

Observation f65ea63f-f6d8-43f2-b305-ac13c75c722e · outbound

This paper cites 2023 , eprint=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 2023 , eprint=

Reference 65

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:07.641945Z digest=sha256:a7095741f0b92eb7e035b7dee7b0c32418b3d00fe80647267c1a3d3b9659d54e

Observation b3073a27-2026-4065-810e-ba467b7735da · outbound

This paper cites 2023 , eprint=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 2023 , eprint=

Reference 66

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:07.693538Z digest=sha256:15f9b6f5bf91cc1c31756a4699b6cb59c462bd4f8e9b8b2b95de8580082a0962

Observation 48e63965-8292-494c-9ac0-cdae35f41efe · outbound

This paper cites Topic-Oriented Dialogue Summarization , year=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Topic-Oriented Dialogue Summarization , year=

Reference 67

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:07.786363Z digest=sha256:eb7abe84a8cdca82dbf52c9b2221fe135adcbf75f4047b2337feb3a68bf006c0

Observation f4812dac-ba4f-48ea-ad3d-fae89da142c2 · outbound

This paper cites Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization

Reference 68

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-02T01:09:07.890556Z digest=sha256:d8053df366c9ab90ae029533a96fd0900f919c6f2c753b70a9917888c04d4b8b

Observation 5a4ca719-517c-439b-810b-92dc1a6352ac · outbound

This paper cites Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality

Reference 69

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-02T01:09:07.953515Z digest=sha256:cb88c9e6799c2be1b17de577001bcd9b080f3222443662f801a56c1fb84a8b7d

Observation dd8df3eb-5b60-4080-b3fe-1b39029d46c3 · outbound

This paper cites 2022 , eprint=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 2022 , eprint=

Reference 70

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:08.066427Z digest=sha256:b8aef847f6ac38e549c6a7483cb8e447f4c67d59f6f0e3654002e70509335c09

Observation 97c3a160-1925-4427-9d08-bd1f87d6b289 · outbound

This paper cites M edia S um: A Large-scale Media Interview Dataset for Dialogue Summarization.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition M edia S um: A Large-scale Media Interview Dataset for Dialogue Summarization

Reference 71

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:08.220911Z digest=sha256:29c627fa2e3cd4ebf7a7654c61a5737dbbe02f10568359df975ea533bc95d0fb

Observation e6064b6e-2c08-4ed5-b786-b017c0e0c578 · outbound

This paper cites Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs

Reference 72

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:08.329395Z digest=sha256:6dd3287631434fd6b4cb3c860735d3155f62ace7b3b65eec40d2be3464f6217f

Observation 72c30212-739c-4390-8d36-a5a05c779676 · outbound

This paper cites 2024 , eprint=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 2024 , eprint=

Reference 73

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:08.552067Z digest=sha256:8f500fb53c93de06f52c1109a5f98aacb8bbe5a9f185501ebddb9151c27e9e46

Observation 0acf8bb2-6040-4c75-ade5-b350a8aa0a5c · outbound

This paper cites QMS um: A New Benchmark for Query-based Multi-domain Meeting Summarization.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition QMS um: A New Benchmark for Query-based Multi-domain Meeting Summarization

Reference 74

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:08.767467Z digest=sha256:b9925350fcd9e7c5f7d00b1b89b7c44054daa9858a78590f05ba902afd5ce607

Observation 6cdee4a8-a242-43f6-a94d-92f0b6443178 · outbound

This paper cites 2024 , eprint=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 2024 , eprint=

Reference 75

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:08.937115Z digest=sha256:a946ae9dbba0173697b4ede8cc2a6fae78916e3d36a0e1dcd94b5acc26435cfd

Observation 85cbbecf-322d-47ee-b2ec-ea8f79fca1db · outbound

This paper cites 2024 , issue_date =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 2024 , issue_date =

Reference 76

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:09.081901Z digest=sha256:57c9db6ef66ea963227df0383e0351761739435b14903cabd77e85953b450501

Observation 90204462-59dc-46b4-b442-3bb0579e075d · outbound

This paper cites Long story short – Global unsupervised models for keyphrase based meeting summarization , journal =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Long story short – Global unsupervised models for keyphrase based meeting summarization , journal =

Reference 77

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verified exact
doi, observed 2026-08-02T01:14:13.713901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-02T01:09:09.222431Z digest=sha256:d2675a4faa757f375232b580347dcd9d022c05ae93a3636ffaeb113ccf708875

Observation 0c2917b2-6977-4181-8ecc-0de54e1f6d6d · outbound

This paper cites A Skip-Chain Conditional Random Field for Ranking Meeting Utterances by Importance.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition A Skip-Chain Conditional Random Field for Ranking Meeting Utterances by Importance

Reference 78

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T01:09:09.429186Z digest=sha256:b6495992c722aacdb62577afc96df08a4fe35f2f286f92dbe3472a2b2dfba705

Observation 668ba791-3d8e-4580-b2e4-a3d95b508fd6 · outbound

This paper cites 2018 ,URL =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 2018 ,URL =

Reference 79

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T01:09:09.657603Z digest=sha256:e4c53eea7172d41d8d98d6fbd4a04599c65d23ba3ae12936432e12789a87f8d2

Observation f234973d-9871-499e-b922-4de1be6a6277 · outbound

This paper cites 2023 , eprint=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 2023 , eprint=

Reference 80

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no resolver link, observed 2026-08-02T01:09:09.840523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:09.840523Z digest=sha256:e56a32865df8d3d691b0487f56288eb075a525781b1aee783e7dc337e591f32b

Observation 64bbca53-03f1-4b2b-b7ca-914a8990ffe6 · outbound

This paper cites Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization , url=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization , url=

Reference 81

Resolution
verified exact
doi, observed 2026-08-02T01:14:13.690370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-02T01:09:10.015584Z digest=sha256:af66e004c2cc9dbdc543ae294e2600035088219709f5d8389b6419be2af02a14

Observation d2cfd872-5a8f-46bc-b64d-c231f2a47d3b · outbound

This paper cites ECLM : Entity Level Language Model for Spoken Language Understanding with Chain of Intent.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition ECLM : Entity Level Language Model for Spoken Language Understanding with Chain of Intent

Reference 82

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T01:09:10.152138Z digest=sha256:860986e430a41357e574a427c5f943f98c516f946a6cd23b45446ee2660eb86c

Observation 50248c00-3214-4562-849c-831036b16619 · outbound

This paper cites 2025 , eprint=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 2025 , eprint=

Reference 83

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no resolver link, observed 2026-08-02T01:09:10.318892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:10.318892Z digest=sha256:df32a1546ac608ab0e785777771593bcff78954a0b358ce10f4a88b67676a351

Observation a5416eb5-8b80-489f-ba9c-ee9b90217399 · outbound

This paper cites 2024 , eprint=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 2024 , eprint=

Reference 84

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no resolver link, observed 2026-08-02T01:09:10.457515Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T01:09:10.457515Z digest=sha256:d1c87b95bea9d20bc54f58a23d6b43fd747d3621ec26f06bc7c25fc3ab048ddf

Observation 814d9618-bbf2-46fc-a6b0-bf0950673c0f · outbound

This paper cites 2025 , eprint=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 2025 , eprint=

Reference 85

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no resolver link, observed 2026-08-02T01:09:10.625682Z

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source=arxiv_source observed=2026-08-02T01:09:10.625682Z digest=sha256:a63dfd321715f61fedf5830c57ec9c6e403300a9b52615c378ca0bd302588531

Observation c149921a-8b9f-4864-bc55-b6bd41fdad05 · outbound

This paper cites Towards an ISO Standard for Dialogue Act Annotation.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Towards an ISO Standard for Dialogue Act Annotation

Reference 86

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no resolver link, observed 2026-08-02T01:09:10.733299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:10.733299Z digest=sha256:ce514c72564647e687df362d36e52844df8f32ecc16ba4f1481b0d01e47ca225

Observation ab55f91c-aa54-401a-b7b2-2826294f8cf5 · outbound

This paper cites Schegloff and Gail Jefferson.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Schegloff and Gail Jefferson

Reference 87

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T01:09:10.949899Z digest=sha256:fd6d72b990acd9c05d3f24e7e2e2db100fa660d34f3a3c7466da9e96bed21a60

Observation b282a978-16ed-4fad-9146-4e0d1ad20eed · outbound

This paper cites D ialogue GCN : A Graph Convolutional Neural Network for Emotion Recognition in Conversation.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition D ialogue GCN : A Graph Convolutional Neural Network for Emotion Recognition in Conversation

Reference 88

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T01:09:11.117849Z digest=sha256:a10d069193412c7b78caf7190d85c20d644e1af99bc102e7de5c42f3c8e073fb

Observation 8dacdde7-9694-47bd-8392-168fa4e6a448 · outbound

This paper cites 2019 , eprint=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 2019 , eprint=

Reference 89

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no resolver link, observed 2026-08-02T01:09:11.307895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:11.307895Z digest=sha256:8b298a722b4b42fe326063a637249990fa3f4ab8235f093aaea38442fdff722e

Observation edd361dd-54d1-4de1-905f-dff58a140788 · outbound

This paper cites 2025 , eprint=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 2025 , eprint=

Reference 90

Resolution
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no resolver link, observed 2026-08-02T01:09:11.541033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:11.541033Z digest=sha256:ee0c7d80e2cd3d834cc9b5569cba91e7fdeeeb9259ae09f585c09b2a42cc3019

Observation 78006221-8c35-421c-a96b-01651ea59eea · outbound

This paper cites DialogueMLLM: Transforming Multimodal Emotion Recognition in Conversation Through Instruction-Tuned MLLM , year =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition DialogueMLLM: Transforming Multimodal Emotion Recognition in Conversation Through Instruction-Tuned MLLM , year =

Reference 91

Resolution
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no resolver link, observed 2026-08-02T01:09:11.698048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:11.698048Z digest=sha256:48857300ddbad76cf1dda9428835df74eb7e591ae3d244295520a9c8fb088186

Observation 1b8aab79-af2c-4385-92c7-d207ad80a748 · outbound

This paper cites Social signal processing: Survey of an emerging domain , journal =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Social signal processing: Survey of an emerging domain , journal =

Reference 92

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no resolver link, observed 2026-08-02T01:09:11.847530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:11.847530Z digest=sha256:4ce722f74b2e3d2a254e8493330856b9eb524532f9820d46c66193ab98b65d24

Observation f2d29567-59f7-401b-bf6a-fb1e64dbc59c · outbound

This paper cites 2000 , publisher=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 2000 , publisher=

Reference 93

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no resolver link, observed 2026-08-02T01:09:12.019992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:12.019992Z digest=sha256:52b60c3c218d63a12dd9c5f0e6164ba5bd5e2efcd2314fcfafa1be13ca5fb20f

Observation 66561331-cf0d-482d-8a4c-cd39d51d85ea · outbound

This paper cites COMPARATIVE ANALYSIS OF LARGE LANGUAGE MODELS FOR THE APPLICATION OF SCIENTIFIC ARTICLE SUMMARIZATION , journal =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition COMPARATIVE ANALYSIS OF LARGE LANGUAGE MODELS FOR THE APPLICATION OF SCIENTIFIC ARTICLE SUMMARIZATION , journal =

Reference 94

Resolution
verified exact
doi, observed 2026-08-02T01:14:13.657960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-02T01:09:12.243207Z digest=sha256:6d0a16f7bc5cb3228e45e1849950ae05c50f5bab21b7ebb09f621815d1edff2b

Observation f4abb05e-1070-4783-bf65-47b169af2399 · outbound

This paper cites Assessing the Impact of Prompt Strategies on Text Summarization with Large Language Models.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Assessing the Impact of Prompt Strategies on Text Summarization with Large Language Models

Reference 95

Resolution
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no resolver link, observed 2026-08-02T01:09:12.397461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:12.397461Z digest=sha256:081b638b4246316e908b7c699ee12d153d7658e51efcb723278fe68cc49d4899

Observation 96caab89-5850-4df5-bb08-5fd5474bcdbd · outbound

This paper cites 1986 , publisher=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 1986 , publisher=

Reference 96

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no resolver link, observed 2026-08-02T01:09:12.505829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:12.505829Z digest=sha256:744dc4a33c639020048f1e2de76e5ad95ebf2a3352a5e2ab036c7c1c3a070745

Observation ad15d5c0-b7aa-46f7-b715-8e35fcacd13e · outbound

This paper cites Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos

Reference 97

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no resolver link, observed 2026-08-02T01:09:12.667215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:12.667215Z digest=sha256:e66a5e1b8c984c4146a07a32c2d35d962bbe9184e4b06f1f3c3dd35c8d6a715b

Observation d0f4dd40-23d1-4449-aad6-298b3f8de1fd · outbound

This paper cites Zico and Morency, Louis-Philippe and Salakhutdinov, Ruslan.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition Zico and Morency, Louis-Philippe and Salakhutdinov, Ruslan

Reference 98

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no resolver link, observed 2026-08-02T01:09:12.780282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:12.780282Z digest=sha256:db7f30150897618887a04cccaacdf2a9ba249f90ecd63a3f9ec1a63887214ada

Observation 4428b300-34bd-4305-933c-7aafc8907482 · outbound

This paper cites arXiv e-prints , keywords =.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition arXiv e-prints , keywords =

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-08-02T01:14:13.625528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-02T01:09:12.893267Z digest=sha256:f0e7abb0a1baff015f72740b4f53fa84071922edc6697cf6b8f5861d9c2c42e3

Observation 2e24717d-4ebd-4ad2-98b2-e66df68f5599 · outbound

This paper cites 2024 , eprint=.

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition 2024 , eprint=

Reference 100

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no resolver link, observed 2026-08-02T01:09:12.999680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:09:12.999680Z digest=sha256:60f564341592c36e791edd95987d9e7217afa65e07063561346a634181920f7e

Pith citing papers

No inbound Pith citation observations are available.