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Paper Citation Record · LEDGER

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning

As of 18 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 0 inbound Pith citation observations for arXiv:2507.21588.

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

pith.paper-citation-record.v1
2507.21588 v1

Coverage vector

measured 86 of 86 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:42:06.779654Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

86 of 86 outbound references displayed

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  • verified fuzzy63
  • unresolved19
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a4d08da4-1e2b-471e-a8f5-d335836b0f3e · outbound

This paper cites Memory aware synapses: Learning what (not) to forget.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Memory aware synapses: Learning what (not) to forget

Reference 1

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Observation 535c30e0-6bf9-4295-9d97-e9e7b4d222eb · outbound

This paper cites Exploring Visual Prompts for Adapting Large-Scale Models.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Exploring Visual Prompts for Adapting Large-Scale Models

Reference 2

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Observation fcc32fe5-e86f-418e-809f-da91ac9e788d · outbound

This paper cites Dark experience for gen- eral continual learning: a strong, simple baseline.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Dark experience for gen- eral continual learning: a strong, simple baseline

Reference 3

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Observation 1f70f270-1c2f-4277-a7f4-cbcd8b2d8db3 · outbound

This paper cites Co2l: Con- trastive continual learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Co2l: Con- trastive continual learning

Reference 4

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Unavailable: canonical work link unavailable.

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Observation 66478a49-eeba-42d5-8624-85109c793a8e · outbound

This paper cites On tiny episodic memories in continual learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning On tiny episodic memories in continual learning

Reference 5

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Source-reported events for the cited work

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Observation 9cebaa63-3f3f-4af3-9c27-5cb5b1c4c0a6 · outbound

This paper cites PromptFusion: Decoupling Stability and Plasticity for Continual Learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning PromptFusion: Decoupling Stability and Plasticity for Continual Learning

Reference 6

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Observation 1975708b-8665-48ab-ae1c-517ff772de9c · outbound

This paper cites Hts-at: A hierarchi- cal token-semantic audio transformer for sound classifica- tion and detection.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Hts-at: A hierarchi- cal token-semantic audio transformer for sound classifica- tion and detection

Reference 7

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Observation f0b95973-0906-4155-9e93-cf3edafac4a6 · outbound

This paper cites Stochas- tic context consistency reasoning for domain adaptive object detection.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Stochas- tic context consistency reasoning for domain adaptive object detection

Reference 8

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Observation 1aed3dd2-57bc-429e-9baf-83df17df6c0b · outbound

This paper cites Prompt Customization for Continual Learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Prompt Customization for Continual Learning

Reference 9

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Observation a74adf0b-7255-43db-b2f6-dbb937c10270 · outbound

This paper cites Multi-granularity class prototype topology distillation for class-incremental source- free unsupervised domain adaptation.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Multi-granularity class prototype topology distillation for class-incremental source- free unsupervised domain adaptation

Reference 10

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Observation 28d93eee-4a8f-4a81-adb0-40a38e0c8d02 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning An image is worth 16x16 words: Transformers for image recognition at scale

Reference 11

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Observation d641c131-e9a6-4851-ac80-6b99c138ef83 · outbound

This paper cites Dytox: Transformers for continual learning with dynamic token expansion.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Dytox: Transformers for continual learning with dynamic token expansion

Reference 12

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Observation bb22a655-897b-4b9d-8748-ceef0191d157 · outbound

This paper cites Cross-modal prompts: Adapting large pre- trained models for audio-visual downstream tasks.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Cross-modal prompts: Adapting large pre- trained models for audio-visual downstream tasks

Reference 13

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Observation 58c6ffe7-f036-435f-b963-584aee1bbad8 · outbound

This paper cites Adversarial continual learn- ing.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Adversarial continual learn- ing

Reference 14

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Observation 8543a641-3f28-4775-87c8-843c24924c72 · outbound

This paper cites Clap learning audio concepts from nat- ural language supervision.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Clap learning audio concepts from nat- ural language supervision

Reference 15

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Source-reported events for the cited work

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Observation 1cc94c53-1d46-424c-a53c-f946ecd0f63c · outbound

This paper cites Revisit weakly-supervised audio-visual video parsing from the lan- guage perspective.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Revisit weakly-supervised audio-visual video parsing from the lan- guage perspective

Reference 16

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Observation 7f059766-90b7-4ace-8b26-96cc18e6365c · outbound

This paper cites Avsegformer: Audio-visual segmentation with trans- former.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Avsegformer: Audio-visual segmentation with trans- former

Reference 17

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Observation 57bf21fb-9f0f-4183-8588-0b9a0d14fa57 · outbound

This paper cites Preface: Brain-inspired ai research.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Preface: Brain-inspired ai research

Reference 18

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Observation e9a7013e-0d9f-41ed-81d8-f4f3c468f57a · outbound

This paper cites Prompt learning with knowl- edge regularization for pre-trained vision-language models.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Prompt learning with knowl- edge regularization for pre-trained vision-language models

Reference 19

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Observation f4fef247-3d31-4c88-88ad-28a50f4ec01c · outbound

This paper cites Curiosity-driven class-incremental learning via adaptive sample selection.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Curiosity-driven class-incremental learning via adaptive sample selection

Reference 20

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Observation 07480e7d-8ea4-490c-aede-0d5208e0cd0b · outbound

This paper cites Unsupervised Prompt Learning for Vision-Language Models.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Unsupervised Prompt Learning for Vision-Language Models

Reference 21

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Observation 47e865f1-b89f-41f4-aec7-68d93bbaa3af · outbound

This paper cites Generating instance-level prompts for rehearsal-free continual learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Generating instance-level prompts for rehearsal-free continual learning

Reference 22

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Observation d55039c0-e600-44a0-ae2f-0435852c1cc6 · outbound

This paper cites Contin- ual learning of a mixed sequence of similar and dissimilar tasks.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Contin- ual learning of a mixed sequence of similar and dissimilar tasks

Reference 23

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Observation bc75e94d-42fa-41b4-9233-7d8c3481c143 · outbound

This paper cites Overcoming catastrophic forgetting in neu- ral networks.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Overcoming catastrophic forgetting in neu- ral networks

Reference 24

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Observation e9c3bca2-c091-414c-8f5b-6bb1f65e9068 · outbound

This paper cites Coca: Collaborative causal regulariza- tion for audio-visual question answering.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Coca: Collaborative causal regulariza- tion for audio-visual question answering

Reference 25

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Source-reported events for the cited work

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Observation c6d05eb9-8c9c-43d3-9c65-a00ac14525fb · outbound

This paper cites Learning to answer questions in dynamic audio-visual scenarios.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Learning to answer questions in dynamic audio-visual scenarios

Reference 26

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Observation df0ea3ee-1b38-4a39-aec9-94d366e8c53c · outbound

This paper cites Progressive spatio- temporal perception for audio-visual question answering.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Progressive spatio- temporal perception for audio-visual question answering

Reference 27

Resolution
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Observation c97e0478-b236-4f57-8f15-0f849c53c3fa · outbound

This paper cites Learn to grow: A continual structure learn- ing framework for overcoming catastrophic forgetting.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Learn to grow: A continual structure learn- ing framework for overcoming catastrophic forgetting

Reference 28

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Observation 6511b047-b234-4356-9dbe-f9129b383bed · outbound

This paper cites Learning without forgetting.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Learning without forgetting

Reference 29

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Observation 153e034d-a60b-4314-ba37-0c64fcac0af0 · outbound

This paper cites Flowgananomaly: Flow-based anomaly network intrusion detection with adver- sarial learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Flowgananomaly: Flow-based anomaly network intrusion detection with adver- sarial learning

Reference 30

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Observation 75c83b15-b14e-4b4d-93f9-09b1674bbe71 · outbound

This paper cites Dual- modality seq2seq network for audio-visual event localiza- tion.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Dual- modality seq2seq network for audio-visual event localiza- tion

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation b716e0c8-91d1-4ecb-a489-9104fd76e83d · outbound

This paper cites Exploring cross-video and cross- modality signals for weakly-supervised audio-visual video parsing.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Exploring cross-video and cross- modality signals for weakly-supervised audio-visual video parsing

Reference 32

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Source-reported events for the cited work

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Observation 643ede20-e72d-4961-b82a-6e3348a3faa8 · outbound

This paper cites Annotation-free audio-visual segmentation.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Annotation-free audio-visual segmentation

Reference 33

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verified fuzzy
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Source-reported events for the cited work

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Observation 1391e840-678a-4de3-928d-9227d474796d · outbound

This paper cites Entity-enhanced adaptive reconstruction network for weakly supervised re- ferring expression grounding.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Entity-enhanced adaptive reconstruction network for weakly supervised re- ferring expression grounding

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:03.848727Z digest=sha256:7ec1d0dceef5a341a58ebb30c1523372eb82002c47e14dc9fd1224913e1fdbb7

Observation 9cff6ab2-ec01-4563-b7cc-2933d08e9d64 · outbound

This paper cites A com- parison of statistical learning of naturalistic textures between dcnns and the human visual hierarchy.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning A com- parison of statistical learning of naturalistic textures between dcnns and the human visual hierarchy

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:10.334459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:03.967116Z digest=sha256:20f44cd46569de44abc610af727db8edaf6949df0d517ea4006795c2694e4a59

Observation b7fdb4e1-816e-4a78-a4f4-ea1a6b2d75ff · outbound

This paper cites Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T12:42:04.001838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:42:04.001838Z digest=sha256:f2d635d48ed735a9e15e90729d01e337580624985a957608dda69bbb83f6a9bb

Observation 36e1bb3d-a739-44b3-8b14-bb1dd9db9e77 · outbound

This paper cites Packnet: Adding mul- tiple tasks to a single network by iterative pruning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Packnet: Adding mul- tiple tasks to a single network by iterative pruning

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:10.307319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:04.059986Z digest=sha256:a3189cbc214757cec16f8241dcf5d708b55fd9c1981f3ff7f96b50488971ade2

Observation 790f94b0-2f28-45d0-9949-4d70357394cb · outbound

This paper cites Catastrophic inter- ference in connectionist networks: The sequential learning problem.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Catastrophic inter- ference in connectionist networks: The sequential learning problem

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T12:42:04.122486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:42:04.122486Z digest=sha256:17aa91d665da8fc0ebffb6a851b304ff09302c3e244619042371306d51ecd021

Observation 8057b3dd-7088-4a9f-8f36-3b5bf1fafee9 · outbound

This paper cites Multi-modal grouping network for weakly-supervised audio-visual video parsing.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Multi-modal grouping network for weakly-supervised audio-visual video parsing

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:10.251003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:04.145786Z digest=sha256:6ef30ef74e3760480cc0c025e1bcaf693683153e37bd1fc898712d78b113f699

Observation 119c806f-86a3-4710-ab22-2df2986b4d50 · outbound

This paper cites How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T12:42:04.213029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:42:04.213029Z digest=sha256:6b2c9d90dc5d3fb8efdda772c756a08f2e38a6a4e27b9d6c1341eea3b23e9b0f

Observation 11e33535-08b0-4a8e-84d0-a04fc09d620c · outbound

This paper cites Fast cross-platform binary code similarity detection frame- work based on cfgs taking advantage of nlp and inductive gnn.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Fast cross-platform binary code similarity detection frame- work based on cfgs taking advantage of nlp and inductive gnn

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:10.226015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:04.260268Z digest=sha256:825a3f489f80ac99ef336c318f57874343efc646214cdeb122eccd8cf5170d2e

Observation 256b8508-bbdb-452a-b57c-d64409e8aa08 · outbound

This paper cites Dualnet: Con- tinual learning, fast and slow.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Dualnet: Con- tinual learning, fast and slow

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:10.206049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:04.305114Z digest=sha256:923b2768140131fb03dc5446cdfd34c8468e7af907050023e33f4312320d26e4

Observation 89eb94ac-3343-4ca1-96c9-6583bb4d83b7 · outbound

This paper cites Gdumb: A simple approach that questions our progress in continual learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Gdumb: A simple approach that questions our progress in continual learning

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:10.182936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:04.361029Z digest=sha256:6fcf3987b4c8847671cfb36733045b57702f055729c7f58d4b65271a6a62dac7

Observation e6c5a6d9-63f6-4647-9c11-c78e83349738 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Learning transferable visual models from natural language supervi- sion

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T12:42:04.448516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:42:04.448516Z digest=sha256:a525dac28410277b07cdba29f2760206e17a39fc5533813382583543133a6aa9

Observation 610e77e4-e471-4e1a-b3da-722bcdebb6c5 · outbound

This paper cites Random path selec- tion for continual learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Random path selec- tion for continual learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:10.136447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:04.538420Z digest=sha256:94482e7fb3dfe85172ba4f935f1043093a6881c4f7b36f3d7743f4fef0a29b96

Observation 881279f0-3741-468f-9ee9-c784d9985254 · outbound

This paper cites Progressive Neural Networks.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Progressive Neural Networks

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T12:42:04.610986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:42:04.610986Z digest=sha256:3e9912d266f16c7153a0ca5664dd0c0f0392ad360e31799eb4cf449e7f8010bb

Observation 7a039f4f-c637-48b7-8770-337c5f5517f0 · outbound

This paper cites Overcoming catastrophic forgetting with hard attention to the task.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Overcoming catastrophic forgetting with hard attention to the task

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:10.113015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:04.671844Z digest=sha256:b6da26fa5338509c8d9071e955291bf35d50de6a8f075f7fb4f534f8e4759bfc

Observation 7499a3b7-6121-4de5-8c1a-6e4d5dc932c6 · outbound

This paper cites Incrementer: Transformer for class-incremental semantic segmentation with knowl- edge distillation focusing on old class.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Incrementer: Transformer for class-incremental semantic segmentation with knowl- edge distillation focusing on old class

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:10.083884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:04.714682Z digest=sha256:a488040216a668031c6ca7494ac77c87fd348a96354ca1e59990d67abc629b6c

Observation 27bc42e9-9db0-47af-9f9f-67e7695f3b33 · outbound

This paper cites Privacy-preserving deep learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Privacy-preserving deep learning

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:10.063970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:04.799991Z digest=sha256:c09420144217d7c860a9d301a09ad7bda67ad418a868fc6416475757e27a4760

Observation bd6d805f-a3da-4864-a5d4-75b4bc7c4b73 · outbound

This paper cites Coda-prompt: Contin- ual decomposed attention-based prompting for rehearsal-free continual learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Coda-prompt: Contin- ual decomposed attention-based prompting for rehearsal-free continual learning

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:10.044564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:04.835291Z digest=sha256:4577f6046f119efa0c84832586d1a80cb26559a8c085316e4fda69e1fe1d64c1

Observation c9c54f5e-b36e-4e6c-bd94-8a7e91c4ded9 · outbound

This paper cites Audio-visual event localization in unconstrained videos.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Audio-visual event localization in unconstrained videos

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:10.019087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:04.892584Z digest=sha256:431870d1a1386144a0690d0c0e94c47cdd2acb826a8702b02c39b5e9836f2358

Observation 07fa152e-0874-430d-91ad-2dad88518e34 · outbound

This paper cites Audio-visual event localization in the wild.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Audio-visual event localization in the wild

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.994168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:04.950203Z digest=sha256:5eb1e9822993d1cd2a9d16116a08cae981a3f544c60c40c7a214659ef6c1c696

Observation 381727ee-4f51-41b3-9b79-3fdb01b03329 · outbound

This paper cites Unified mul- tisensory perception: Weakly-supervised audio-visual video parsing.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Unified mul- tisensory perception: Weakly-supervised audio-visual video parsing

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.971431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:04.979011Z digest=sha256:39ffd6a1b5f31be8fe59b3095aea9c74f26268dbfb8eef48c0e2a9489a0bb934

Observation 29434f11-80a0-4be3-a396-b0e9b3bb8654 · outbound

This paper cites Transformer-based under- sampled single-pixel imaging.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Transformer-based under- sampled single-pixel imaging

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.951137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:05.025482Z digest=sha256:26554533333a688c4ab8de8b4327aa1adb790624b53613908484ddd0d8dcfc0d

Observation 0622fbe6-34a2-4df1-8e98-f4fb5d39feec · outbound

This paper cites Smart: Syntax-calibrated multi-aspect relation trans- former for change captioning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Smart: Syntax-calibrated multi-aspect relation trans- former for change captioning

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.926413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:05.096199Z digest=sha256:69dd0fa66b888356864c125a9760c7039c0a39ae7cb7f5ddf54942ae0eb60522

Observation 333a6149-342d-468a-a405-0d8824055c47 · outbound

This paper cites Brain-inspired artificial intelligence research: A review.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Brain-inspired artificial intelligence research: A review

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.894576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:05.134871Z digest=sha256:e8ef706ef4e96cf58ace76e40d8e73a9cc5d2c2e79384a26dc4571d28d9c3bba

Observation 21519571-d347-4ec0-904c-709c8fcd808f · outbound

This paper cites Semantic and relation modulation for audio- visual event localization.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Semantic and relation modulation for audio- visual event localization

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.866699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:05.223579Z digest=sha256:5ebe494a54ee9726555a6f8e505cc5d128c55473f254cd7b186640a396c1cbb8

Observation e71cfe4b-74cc-4493-adfb-266eae6af185 · outbound

This paper cites On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:42:07.226678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:05.261084Z digest=sha256:0e7b804a548fc1d6d406f07531ef0f98dd75e88820c92594c6ba706b92bd104a

Observation 3c0fa51c-10d6-452f-8427-fe36b3c8c6a8 · outbound

This paper cites S-prompts learning with pre-trained transformers: An occam’s razor for domain incremental learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning S-prompts learning with pre-trained transformers: An occam’s razor for domain incremental learning

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.837151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:05.349882Z digest=sha256:c556c03d6440b4e38667e9a976e0f63070c4e5110d3b9dbaca34eda328a397aa

Observation b88e5fb0-e11c-452d-bc80-d41eae8e70b7 · outbound

This paper cites Dualprompt: Complementary prompting for rehearsal-free continual learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Dualprompt: Complementary prompting for rehearsal-free continual learning

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.798179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:05.402777Z digest=sha256:da3ea4664d1cb663210a52c5a655b022fd3f5b521ccd9f9679af6f528ad9655a

Observation 83f75b77-9eb7-461d-ba84-5596c6362498 · outbound

This paper cites Learning to prompt for con- tinual learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Learning to prompt for con- tinual learning

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.773843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:05.441569Z digest=sha256:7b19835f0e23c85673ad182cad773a24e47afce180a629b1d8aa13002e2155b5

Observation 64f1c505-a5da-4e5f-99dc-3f93f2feadea · outbound

This paper cites Exploring heterogeneous clues for weakly-supervised audio-visual video parsing.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Exploring heterogeneous clues for weakly-supervised audio-visual video parsing

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.736455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:05.531070Z digest=sha256:b31cc8ce9332566a63bfd3af7d88fb957eb1cafbd675426ff4efe91eabf4da4b

Observation 3a7fb08c-1cce-472d-b1fc-e372838baf17 · outbound

This paper cites Large scale incre- mental learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Large scale incre- mental learning

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-06T12:42:05.566369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:42:05.566369Z digest=sha256:ff9d2d00c4ed89a06040c4161f64cef23942cffcc5a3ee0cc3ada3c572e21e5a

Observation 8e05a9ce-e74a-40a9-85aa-4fd9aeccc351 · outbound

This paper cites Dual attention matching for audio-visual event localization.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Dual attention matching for audio-visual event localization

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.677995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:05.619065Z digest=sha256:1506536a7ea64fba2574f25aa026f2d270c77fd7472317e6e7888b6dbec10283

Observation 687f9bd3-50da-46cb-8dbd-204707df8112 · outbound

This paper cites Deep multi-view enhancement hashing for image retrieval.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Deep multi-view enhancement hashing for image retrieval

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.654618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:05.664423Z digest=sha256:d0efe172bbcdd32e49ed2dc62af3b286e87b952615cb451116ef4f6f35630348

Observation f6fdddc8-fc66-407e-8616-fbe29d081013 · outbound

This paper cites Depth image denois- ing using nuclear norm and learning graph model.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Depth image denois- ing using nuclear norm and learning graph model

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.621017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:05.705243Z digest=sha256:bc57c1a99a83acc1a98de53d65223a06a3c7f549bd7e6cab7cb8546a6ad0f224

Observation 609801fb-341a-41fd-8bff-452be9e09a9d · outbound

This paper cites Task- adaptive attention for image captioning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Task- adaptive attention for image captioning

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.592777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:05.714806Z digest=sha256:1fa7db8fdc4794d3a2fbe799aa83223475c297fb6ebe61aca815bdec8a651432

Observation 908d1ff4-c67f-48f8-b570-492fdde6f293 · outbound

This paper cites Precise no-reference image quality evaluation based on distortion identification.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Precise no-reference image quality evaluation based on distortion identification

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.564756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:05.775681Z digest=sha256:fa0c4b48fbf9fcf62981aecdbd38b30342b584ecda661bff0a769d81ac1c0daa

Observation 67c39805-cccc-48b5-a252-c793b6e74c87 · outbound

This paper cites Age-invariant face recognition by multi-feature fu- sionand decomposition with self-attention.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Age-invariant face recognition by multi-feature fu- sionand decomposition with self-attention

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.535266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:05.836295Z digest=sha256:e74559011f440c81c698884180bd5d62e777d6024f4cc02d500220f339a21070

Observation 0a1f1d40-b42a-4be4-b737-bf3d6579f3e0 · outbound

This paper cites Review of omni- media content quality evaluation.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Review of omni- media content quality evaluation

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.500510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:05.886879Z digest=sha256:13e48ed93efce87095b608699d1f80c5e8ee430855ed962a4e90cce77a959ba0

Observation c0a12e71-4ba5-489a-b29b-f6fee5b18aa7 · outbound

This paper cites Der: Dy- namically expandable representation for class incremental learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Der: Dy- namically expandable representation for class incremental learning

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T12:42:05.936709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:42:05.936709Z digest=sha256:3eed4a7b096fbe99f2b227cdb3488a6365e661efa2aadbe6f1eb4e185db962dc

Observation 883e240e-1d60-497f-8a34-5095b4c4c833 · outbound

This paper cites Domain shared and specific prompt learning for incremental monocular depth estimation.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Domain shared and specific prompt learning for incremental monocular depth estimation

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.457941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:06.018554Z digest=sha256:f35dcf2ab65b5df8be6d32c578189aad9d8d6ead6bed2f8c36584b42ce916e01

Observation 53d758c9-043e-4f5f-ab14-465958f74980 · outbound

This paper cites Unsupervised cross-media hashing learning via knowledge graph.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Unsupervised cross-media hashing learning via knowledge graph

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.430257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:06.119341Z digest=sha256:bf8d6297b1f778c64639cdfa72b7046bad591013aee6d71fc75842a87b50b53b

Observation fb6a7a34-7817-42ea-b014-7f328388e1ad · outbound

This paper cites Lifelong Learning with Dynamically Expandable Networks.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Lifelong Learning with Dynamically Expandable Networks

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T12:42:06.148295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:42:06.148295Z digest=sha256:6d1de85c6ff193654ecd21c9ddb89c9717bb9b3b6f04edc82f9d065d26f705e9

Observation 51551ae4-0369-4e74-a156-515585622689 · outbound

This paper cites Contrastive corre- lation preserving replay for online continual learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Contrastive corre- lation preserving replay for online continual learning

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.390848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:06.191220Z digest=sha256:b88260f2a8fdd111525774d5a2c021ae685e515e04be7376f9455764dc755c5e

Observation 530aab1c-489e-49d9-b8b9-eab3a1f0c364 · outbound

This paper cites Contin- ual learning through synaptic intelligence.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Contin- ual learning through synaptic intelligence

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.359915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:06.233307Z digest=sha256:cffbb5030ba0cf860fde7d8bfdd9d7fa3cd8662c54ace6c3c0dff867b4b3ba61

Observation c1ddafe4-724b-40a9-bdc5-0a71079cd796 · outbound

This paper cites Inductive state- relabeling adversarial active learning with heuristic clique rescaling.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Inductive state- relabeling adversarial active learning with heuristic clique rescaling

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.336977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:06.267763Z digest=sha256:20f251cbef1ad80e50946d7cbbaac6f7a6d59e23cbedcd41da6e83a020bc5aa3

Observation 9543b149-7c82-47c7-b538-352639a55796 · outbound

This paper cites Deep guided attention network for joint denoising and demosaicing in real image.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Deep guided attention network for joint denoising and demosaicing in real image

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.314618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:06.324464Z digest=sha256:2f5dc6f2456aec903c1ee99a3807c5e1bce019aacab1b7f21c3468961189b323

Observation d7fd7a90-19d4-4c1c-890c-822517f426bc · outbound

This paper cites Deep guided attention network for joint denoising and demosaicing in real image.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Deep guided attention network for joint denoising and demosaicing in real image

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:09.159996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:06.360005Z digest=sha256:74354d82d58c36dab5cd5374deb6374c2e4467ded39194e3df7d1f9390b566cd

Observation c77fb7e2-de39-4d11-bc97-b61ef7a61500 · outbound

This paper cites A survey on concept factorization: From shallow to deep representation learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning A survey on concept factorization: From shallow to deep representation learning

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:08.948553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:06.415033Z digest=sha256:4a0f7c07fbc1dc9b284337f191f6d04542aab693e2f7c30187f596b7eec7421e

Observation 70991460-66fe-4c79-82a9-31f83f9f1280 · outbound

This paper cites From speaker to dubber: movie dubbing with prosody and duration consistency learning.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning From speaker to dubber: movie dubbing with prosody and duration consistency learning

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:08.699106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:06.481749Z digest=sha256:8e79db8d03f1724f8f8a93b2d7fbabfc39b37e4a3cc911c75b09b1982d9c0d9e

Observation 764455f1-d1cc-49f6-a2f0-ca41a9d7422f · outbound

This paper cites Prosody- enhanced acoustic pre-training and acoustic-disentangled prosody adapting for movie dubbing.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Prosody- enhanced acoustic pre-training and acoustic-disentangled prosody adapting for movie dubbing

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:08.523985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:06.514351Z digest=sha256:37a608a13135c7ed2c50387036a0beae76a27455f1eb9e2f3ec2174ab7a52b31

Observation acbc7a33-c699-4d84-a4c3-5b58e1e75867 · outbound

This paper cites Heterogeneous prompt-guided entity inferring and distilling for scene-text aware cross-modal retrieval.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Heterogeneous prompt-guided entity inferring and distilling for scene-text aware cross-modal retrieval

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:08.425827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:06.574411Z digest=sha256:aa1c525e5c1b9e2ff5322709ade8dd75c62dc76df8b0d8ef12187e6272c585b1

Observation d728e31f-7ed5-4449-b1ff-4ea0e0952df5 · outbound

This paper cites Gait recognition in the wild with dense 3d representations and a benchmark.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Gait recognition in the wild with dense 3d representations and a benchmark

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:08.286266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:06.612761Z digest=sha256:ce0cfbcefbb1a632b883a26533a7b69ae922d0c5eb99c985136ec04d26fc3848

Observation 6a623942-530a-4b8f-b4ae-1d6990f839e2 · outbound

This paper cites Audio–visual segmentation.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Audio–visual segmentation

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:42:08.018194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:06.670258Z digest=sha256:d7eed985f31a98f75f78be51c51f2ce9b9ad955f3a3deccd40aecfe3f5a78204

Observation 26f42133-bea7-4597-b97f-dc88d4c2cf9d · outbound

This paper cites 2, 1 Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Supplementary Material A.

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning 2, 1 Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning Supplementary Material A

Reference 403

Resolution
verified exact
raw_fallback, observed 2026-08-06T12:42:07.069273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:42:06.779654Z digest=sha256:e98cfc75b9e27b5cfe0440c054aba46a0bb5bcd6b0e12d0a530bb5245d481e33

Pith citing papers

No inbound Pith citation observations are available.