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Paper Citation Record · LEDGER

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis?

As of 22 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2607.17262.

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

pith.paper-citation-record.v1
2607.17262 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:37:22.187737Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 595e0818-bab1-4cdc-9446-2d9e46301f82 · outbound

This paper cites Proceedings of the 62nd annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Proceedings of the 62nd annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=

Reference 1

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no resolver link, observed 2026-08-01T18:37:19.608042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:19.608042Z digest=sha256:7fe5b12044021fdfa85d4124727d99be534e03f338200a5a5969d8dc14d1cb7f

Observation ce4d5e74-e031-4b93-bcd1-115fe27421ef · outbound

This paper cites arXiv preprint arXiv:2603.09874 , year=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? arXiv preprint arXiv:2603.09874 , year=

Reference 2

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unresolved
no resolver link, observed 2026-08-01T18:37:19.669733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:19.669733Z digest=sha256:6cdebd112bae7dfef07309b42b4f6ae5b287568f21a75cc916733fd0baa8a5d9

Observation a6337bb7-9c2c-4c22-945e-e1b2310f219e · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Advances in Neural Information Processing Systems , volume=

Reference 3

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unresolved
no resolver link, observed 2026-08-01T18:37:19.717736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:19.717736Z digest=sha256:9a0ee8c68cacf051797597d216abd8d8676b9acd466ce4d1a981f826f5dfe773

Observation 759249f0-eeda-49c7-85cf-ee4c5fddb63c · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 4

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unresolved
no resolver link, observed 2026-08-01T18:37:19.769074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:19.769074Z digest=sha256:dcf80f683b9fde64fea387b672ff6e2bfdec2f0ca705b6aef9ba4872b3dd500e

Observation 1a6b7e71-6297-46e2-adc0-4888d183a21d · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 5

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unresolved
no resolver link, observed 2026-08-01T18:37:19.804076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:19.804076Z digest=sha256:776e0dbd3264907da2f97fa2aa2f3162c6636d5ca0455496a8580581dd527d22

Observation b1ee5bec-29c1-4d7f-a66d-fd558d0606a0 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 6

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unresolved
no resolver link, observed 2026-08-01T18:37:19.877711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:19.877711Z digest=sha256:afe378ee99325dfc5370ec79204aebb0af41ba25957776a35fd608350092795d

Observation 78dcfb8f-20bb-4993-ab51-8e2fc91d9322 · outbound

This paper cites Proceedings of the 32nd ACM International Conference on Multimedia , pages=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Proceedings of the 32nd ACM International Conference on Multimedia , pages=

Reference 7

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unresolved
no resolver link, observed 2026-08-01T18:37:19.964747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:19.964747Z digest=sha256:572fe568af64b20ee9a684f2512131228a74b56f5371dce435617872d76e7a95

Observation f0344e6f-0174-425d-93c1-36d0b0775626 · outbound

This paper cites an unresolved cited work.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Unresolved cited work

Reference 8

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no resolver link, observed 2026-08-01T18:37:20.025178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:20.025178Z digest=sha256:4b8849a4b19779acd1f7a2925d592c82f207aeacdcb860f0b3f5c065b2ae5b84

Observation 7e60da69-bee4-4723-886b-9de291f32210 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 9

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no resolver link, observed 2026-08-01T18:37:20.100806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:20.100806Z digest=sha256:e6ed954ca6d3234373d910c11203c454def17fb640f27c877f9107216cd7d57b

Observation 35e4e0a8-f821-4229-92bb-8e49d3785a66 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Advances in Neural Information Processing Systems , volume =

Reference 10

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no resolver link, observed 2026-08-01T18:37:20.158030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:20.158030Z digest=sha256:b8b3ca3f81bc2fb5a2315d3945ff813a22e5af8083d16a713802f8210546cc7a

Observation d5ca78be-739e-46f1-8b79-eaec9d6cf1a8 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 11

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no resolver link, observed 2026-08-01T18:37:20.209467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:20.209467Z digest=sha256:eae5a3b1cf9bb2ee11b8e7c8fa73e99807c5f52952147f71461f7365ba8b3d85

Observation a940258e-a11b-450a-a611-bbcf2f0b23c2 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Advances in Neural Information Processing Systems , volume=

Reference 12

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unresolved
no resolver link, observed 2026-08-01T18:37:20.261529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:20.261529Z digest=sha256:2d080f1e9683837ae3dd51735eb911803ef6dcdec08d914798cfde6d1be442d9

Observation 22c3f178-9b32-40e3-a0c4-02679be940b9 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Advances in Neural Information Processing Systems , volume=

Reference 13

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no resolver link, observed 2026-08-01T18:37:20.313854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:20.313854Z digest=sha256:e512efd40c65a3706e349bcb82dcf44f4bc1849dabb14745da98156fdaf3dfa9

Observation 25854bdf-01cd-467e-91bc-5b46721ebdfc · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 14

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no resolver link, observed 2026-08-01T18:37:20.383998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:20.383998Z digest=sha256:325db4f50360c94f8dcf294c8c70cf11cf38c3ff1a862897afc668642953e8c3

Observation d3a7ad6c-03d4-43d6-ae39-b16ebb69734b · outbound

This paper cites IEEE Transactions on pattern analysis and machine intelligence , volume=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? IEEE Transactions on pattern analysis and machine intelligence , volume=

Reference 15

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unresolved
no resolver link, observed 2026-08-01T18:37:20.445235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:20.445235Z digest=sha256:02dc1f262b2fcafd1c7ac853b2af8d5d8cb44d794d99a6554812470dce441159

Observation a72eaa13-1e97-4af6-952b-243731e023ea · outbound

This paper cites MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos

Reference 16

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unresolved
no resolver link, observed 2026-08-01T18:37:20.533894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:20.533894Z digest=sha256:68652e4237b284a4a45e3de8162447166b807684b28c1ba616ceceebda710cb4

Observation bfb7cd65-1141-4f9a-8929-10d179872436 · outbound

This paper cites Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 17

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unresolved
no resolver link, observed 2026-08-01T18:37:20.619356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:20.619356Z digest=sha256:be413d01e203d3cea6719f3caa13510205ce0f49427582a34f56bb27c20b428d

Observation 34f81e7d-f7c3-410b-b149-58dcc2622997 · outbound

This paper cites Proceedings of the 57th annual meeting of the association for computational linguistics , pages=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Proceedings of the 57th annual meeting of the association for computational linguistics , pages=

Reference 18

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no resolver link, observed 2026-08-01T18:37:20.701836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:20.701836Z digest=sha256:4d121a70a627cfe202006e7e63424c2481f0d3eaf6106892e74d0fcfc08295cd

Observation ec9009fe-5ce8-462b-9d14-43a98d0a8e78 · outbound

This paper cites Proceedings of the 28th ACM international conference on multimedia , pages=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Proceedings of the 28th ACM international conference on multimedia , pages=

Reference 19

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no resolver link, observed 2026-08-01T18:37:20.787457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:20.787457Z digest=sha256:1161564bf32d5483565d62ef3c628840c9d281aad4a793c4914d755074f9efde

Observation 32312171-0798-42a5-b278-aeb78628394e · outbound

This paper cites arXiv preprint arXiv:2602.00811 , year=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? arXiv preprint arXiv:2602.00811 , year=

Reference 20

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no resolver link, observed 2026-08-01T18:37:20.846724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:20.846724Z digest=sha256:eea84521e0f4b8e8bd4135af2b24803d3439905cf4084223f01e19b7a9ecd424

Observation ad8f1a51-917c-4725-aa79-59c9a1e737bf · outbound

This paper cites Proceedings of the 2017 conference on empirical methods in natural language processing , pages=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Proceedings of the 2017 conference on empirical methods in natural language processing , pages=

Reference 21

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no resolver link, observed 2026-08-01T18:37:20.894043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:20.894043Z digest=sha256:10de5af404c0e9fa379540bbbb38dfea1f76bc478b77cb07c5c9a001b333ecd7

Observation 665dcbfb-a6c3-44be-8355-9aa0a685ffa5 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 22

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unresolved
no resolver link, observed 2026-08-01T18:37:20.960956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:20.960956Z digest=sha256:be9b1f3a76928a793ac0a209ad63617024c675e5b7cdb18a9bb17404bbc8a388

Observation f540e8a3-7a9f-45ef-b9c8-0be21265aee8 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 23

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no resolver link, observed 2026-08-01T18:37:21.060020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:21.060020Z digest=sha256:d9a475edcf17afaadb24ecdce6e396f41931f7fa372feedd7fe14cb31c2c2a7a

Observation 88eba17d-7268-479f-8e04-24da2239a8c2 · outbound

This paper cites International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems , volume=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems , volume=

Reference 24

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no resolver link, observed 2026-08-01T18:37:21.109441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:21.109441Z digest=sha256:821d3d8653734063a2558a1c1bb24f3033aadac80c910155d7c767fb0a5c5866

Observation 0f2ddb91-3124-4da1-88d5-749ad8b8d41b · outbound

This paper cites 2016 , publisher=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? 2016 , publisher=

Reference 25

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unresolved
no resolver link, observed 2026-08-01T18:37:21.148688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:21.148688Z digest=sha256:df12178a4aeb8f196c17d93a66b30df1eebb6c8f582e182390b21116a5563db2

Observation 55294671-9381-4574-9275-bb0360082dda · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? IEEE transactions on pattern analysis and machine intelligence , volume=

Reference 26

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unresolved
no resolver link, observed 2026-08-01T18:37:21.216106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:21.216106Z digest=sha256:fe15b238c8b7522c262fe24cbded2e962dfec4754a717a6d07e34bcdf7440022

Observation d8839fb2-c3db-46cc-afc7-47e46a07113c · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 27

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unresolved
no resolver link, observed 2026-08-01T18:37:21.267077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:21.267077Z digest=sha256:c3501140bb035059cfc257275a82fbd9603f3a2f1c0e129d572ba13db283e680

Observation 7dad427c-faf1-49df-b691-e28401beac8d · outbound

This paper cites Advances in neural information processing systems , volume=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Advances in neural information processing systems , volume=

Reference 28

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unresolved
no resolver link, observed 2026-08-01T18:37:21.352218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:21.352218Z digest=sha256:5ef55ab5ac321193ab74b9e045da997abc2b91cd39d6f7d4d23b8bc55bad2ebf

Observation ab5e168d-de4c-42ee-899c-54234866ef75 · outbound

This paper cites Advances in neural information processing systems , volume=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Advances in neural information processing systems , volume=

Reference 29

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unresolved
no resolver link, observed 2026-08-01T18:37:21.439944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:21.439944Z digest=sha256:400e66f74bd75a10ab636b11976c76ed5677f69a702a7927c2b1ad422dbbded7

Observation ea6321dc-305e-4d88-9b2a-65747f8a2ae9 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 30

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unresolved
no resolver link, observed 2026-08-01T18:37:21.521318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:21.521318Z digest=sha256:e3381fdba3d4a70eb3956840305c48fd46ff8660a1d946334befdfe9d4b86003

Observation 4ddfc9a9-1c1f-44e7-8809-c7f3b69bf186 · outbound

This paper cites Language resources and evaluation , volume=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Language resources and evaluation , volume=

Reference 31

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no resolver link, observed 2026-08-01T18:37:21.603210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:21.603210Z digest=sha256:a651a81311088d507e01c5630d9b16f1911c5ac37af0a6dbdff2f19c4025d0b8

Observation ed2773ba-3f38-4c0d-b5cb-8c10c72e21f0 · outbound

This paper cites International joint conference on artificial intelligence , volume=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? International joint conference on artificial intelligence , volume=

Reference 32

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no resolver link, observed 2026-08-01T18:37:21.671548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:21.671548Z digest=sha256:dcef815a2e5abf9bdf856ab83c9441d6a266d5bebe1d8ecafd8b4757992c22c6

Observation ce08860b-31a8-4bb5-8558-5a1c77aefc8b · outbound

This paper cites wav2vec: Unsupervised Pre-training for Speech Recognition.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? wav2vec: Unsupervised Pre-training for Speech Recognition

Reference 33

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unresolved
no resolver link, observed 2026-08-01T18:37:21.698795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:21.698795Z digest=sha256:69dd6cff87e2ba14e65e987ab0a5c80f99a4117a52e1fc15d6aa06a771f02a88

Observation d7f3b2fb-c527-4394-bd46-a2254e66f168 · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 34

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no resolver link, observed 2026-08-01T18:37:21.755493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:21.755493Z digest=sha256:2da5d8a365d0d812d8ee99b67d1a12634e8abb928bced98f87641e269a4b2f7a

Observation a66f0ed4-0eea-42f9-a4da-6c1962efbe61 · outbound

This paper cites IEEE Transactions on Image Processing , volume=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? IEEE Transactions on Image Processing , volume=

Reference 35

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no resolver link, observed 2026-08-01T18:37:21.832053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:21.832053Z digest=sha256:ae9364f49491281a045e64f2fb7ea9a772e211a978b9923acb29159f1a4581a2

Observation 34a50da2-a6a8-40e6-9b6d-11ee0d431e9c · outbound

This paper cites IEEE signal processing letters , volume=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? IEEE signal processing letters , volume=

Reference 36

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no resolver link, observed 2026-08-01T18:37:21.887581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:21.887581Z digest=sha256:6983ba19b6fe1cbf1b3938d23f6c78bb14e1653f7c754bfbf96276237a18ad21

Observation e0e13656-bf84-4b43-bb43-1cc01bf41927 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , year=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? IEEE Transactions on Pattern Analysis and Machine Intelligence , year=

Reference 37

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no resolver link, observed 2026-08-01T18:37:21.958688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:21.958688Z digest=sha256:b5ad5e2ccc7f85400651025e1d7b1130b4da247f922bb701eddab8b2762c1d2c

Observation 8ee158f6-3a37-434f-b77e-1b35a158b1d4 · outbound

This paper cites 9th International Conference on Learning Representations, ICLR 2021 , year=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? 9th International Conference on Learning Representations, ICLR 2021 , year=

Reference 38

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unresolved
no resolver link, observed 2026-08-01T18:37:21.989995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:21.989995Z digest=sha256:4a7d16eb70ad6117b96929ba21741c010de74636209f5979da70eecae3c0dcfa

Observation 1a5de1f6-7660-4a9f-bfb5-67f1427c623c · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Categorical Reparameterization with Gumbel-Softmax

Reference 39

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unresolved
no resolver link, observed 2026-08-01T18:37:22.061792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:22.061792Z digest=sha256:d89b3da59c044ed5f9c16c301d0c9183873de1e18ef883489261025d7e414d23

Observation f9820727-3892-41b1-9a80-bddbc660e37b · outbound

This paper cites EMNLP 2025-2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025 , pages=.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? EMNLP 2025-2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025 , pages=

Reference 40

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unresolved
no resolver link, observed 2026-08-01T18:37:22.076268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:22.076268Z digest=sha256:3f5aa6f311945a22834b43f57ff88c1519637f5f74d1625fc1e1728d7bc36873

Observation f8bf62cd-307e-41f5-a6f9-03dbb6f30977 · outbound

This paper cites Evaluation Before Generation: A Paradigm for Robust Multimodal Sentiment Analysis with Missing Modalities.

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis? Evaluation Before Generation: A Paradigm for Robust Multimodal Sentiment Analysis with Missing Modalities

Reference 41

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unresolved
no resolver link, observed 2026-08-01T18:37:22.187737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:37:22.187737Z digest=sha256:6fcc0f4deb5b8adba4341147ec2e41a0c21c8b18c33b0a35315f61114d12011d

Pith citing papers

No inbound Pith citation observations are available.