Paper Citation Record · LEDGER

Multi-Task Learning with Deep Neural Networks: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2009.09796.

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

pith.paper-citation-record.v1
2009.09796 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:18:18.863959Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:39:50.395694Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d0e6b186-3548-4cac-b01d-664d268a03d3 · inbound

Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks cites this paper.

Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks Multi-Task Learning with Deep Neural Networks: A Survey

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T19:45:13.161312Z

Source-reported events for the cited work

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Observation 6e130ee3-1fe9-43a7-b899-e913a18c30d9 · inbound

CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation cites this paper.

CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation Multi-Task Learning with Deep Neural Networks: A Survey

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:14:57.682699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6874d0ed-ce92-40fc-8e66-319006b5b35f · inbound

One Rank at a Time: Cascading Error Dynamics in Sequential Learning cites this paper.

One Rank at a Time: Cascading Error Dynamics in Sequential Learning Multi-Task Learning with Deep Neural Networks: A Survey

Reference 18

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Observation d01dcd6b-c0b9-48f1-93d0-e47ee9258925 · inbound

Multi-task Learning with Active Learning for Arabic Offensive Speech Detection cites this paper.

Multi-task Learning with Active Learning for Arabic Offensive Speech Detection Multi-Task Learning with Deep Neural Networks: A Survey

Reference 38

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Observation 3183ae25-fe80-4c5f-9c8e-e9f530e8015a · inbound

Learning to Collaborate Over Graphs: A Selective Federated Multi-Task Learning Approach cites this paper.

Learning to Collaborate Over Graphs: A Selective Federated Multi-Task Learning Approach Multi-Task Learning with Deep Neural Networks: A Survey

Reference 17

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Observation 80058b8f-1dba-4fa1-a457-33252f403a32 · inbound

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning cites this paper.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Multi-Task Learning with Deep Neural Networks: A Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:31.272266Z

Source-reported events for the cited work

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Observation e355a9e7-10a0-4c33-b7ad-c4c04e16a4c9 · inbound

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks cites this paper.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Multi-Task Learning with Deep Neural Networks: A Survey

Reference 21

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Source-reported events for the cited work

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Observation 650d8a24-84da-4efd-9d1e-081968e39be0 · inbound

SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation cites this paper.

SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation Multi-Task Learning with Deep Neural Networks: A Survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:35:18.562684Z

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Observation c5a18620-9c84-4893-8dc8-db6d1adb2641 · inbound

OmniVec2 -- A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning cites this paper.

OmniVec2 -- A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning Multi-Task Learning with Deep Neural Networks: A Survey

Reference 10

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Observation 9e6af1a3-47d1-40c4-bdc2-00dc66c439ef · inbound

A High Magnifications Histopathology Image Dataset for Oral Squamous Cell Carcinoma Diagnosis and Prognosis cites this paper.

A High Magnifications Histopathology Image Dataset for Oral Squamous Cell Carcinoma Diagnosis and Prognosis Multi-Task Learning with Deep Neural Networks: A Survey

Reference 13

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Observation 689f34fc-d8fa-45aa-a146-9388ef3c2ab2 · inbound

Separating Shared and Domain-Specific LoRAs for Multi-Domain Learning cites this paper.

Separating Shared and Domain-Specific LoRAs for Multi-Domain Learning Multi-Task Learning with Deep Neural Networks: A Survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T04:51:49.277546Z

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Observation ad7de39c-ef70-43ce-85c2-34c2e3cdf340 · inbound

Beyond Hard Sharing: Efficient Multi-Task Speech-to-Text Modeling with Supervised Mixture of Experts cites this paper.

Beyond Hard Sharing: Efficient Multi-Task Speech-to-Text Modeling with Supervised Mixture of Experts Multi-Task Learning with Deep Neural Networks: A Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T01:05:44.392830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a1062b5-8f53-4214-a615-59d52ac4e09a · inbound

Relativistic Quantum Thermal Machine: Harnessing Relativistic Effects to Surpass Carnot Efficiency cites this paper.

Relativistic Quantum Thermal Machine: Harnessing Relativistic Effects to Surpass Carnot Efficiency Multi-Task Learning with Deep Neural Networks: A Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T18:45:32.205162Z

Source-reported events for the cited work

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Observation 67aa653d-7c9b-4196-a02f-731d15f9b442 · inbound

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality cites this paper.

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality Multi-Task Learning with Deep Neural Networks: A Survey

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:05.548979Z

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Unavailable: canonical work link unavailable.

Observation 4afb2cc1-4006-46b2-8422-91af3cf05d39 · inbound

Parameter-Efficient Multi-Task Learning via Progressive Task-Specific Adaptation cites this paper.

Parameter-Efficient Multi-Task Learning via Progressive Task-Specific Adaptation Multi-Task Learning with Deep Neural Networks: A Survey

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:41:25.364504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e17acce-93f3-4bc8-914e-5860ae3bbe5f · inbound

MacroNav: Multi-Task Context Representation Learning Enables Efficient Navigation in Unknown Environments cites this paper.

MacroNav: Multi-Task Context Representation Learning Enables Efficient Navigation in Unknown Environments Multi-Task Learning with Deep Neural Networks: A Survey

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:10:33.894478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 69fc1721-a08d-4692-b27e-ff63ebe2d602 · inbound

Operator-Based Generalization Bound for Deep Learning: Insights on Multi-Task Learning cites this paper.

Operator-Based Generalization Bound for Deep Learning: Insights on Multi-Task Learning Multi-Task Learning with Deep Neural Networks: A Survey

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:45:29.042923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f0bef0cd-509a-46e0-aa4d-f5deb6aed822 · inbound

MultiPUFFIN: A Multimodal Domain-Constrained Foundation Model for Molecular Property Prediction of Small Molecules cites this paper.

MultiPUFFIN: A Multimodal Domain-Constrained Foundation Model for Molecular Property Prediction of Small Molecules Multi-Task Learning with Deep Neural Networks: A Survey

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-02T19:54:26.409611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2918482-5cc1-494a-a5e7-50d6ce2c3cbb · inbound

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects cites this paper.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Multi-Task Learning with Deep Neural Networks: A Survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-15T14:50:37.075540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 750ee6ac-e9c9-4d41-93f9-743eab23847f · inbound

Task-Centric Personalized Federated Fine-Tuning of Language Models cites this paper.

Task-Centric Personalized Federated Fine-Tuning of Language Models Multi-Task Learning with Deep Neural Networks: A Survey

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:27:59.645059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8bf11034-a4ed-40d0-8251-95b21908cf83 · inbound

Unified Ultrasound Intelligence Toward an End-to-End Agentic System cites this paper.

Unified Ultrasound Intelligence Toward an End-to-End Agentic System Multi-Task Learning with Deep Neural Networks: A Survey

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T07:26:59.389974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 571cca8c-2ac0-4998-8ed4-dd8d5e2b4392 · inbound

Octopus: History-Free Gradient Orthogonalization for Continual Learning in Multimodal Large Language Models cites this paper.

Octopus: History-Free Gradient Orthogonalization for Continual Learning in Multimodal Large Language Models Multi-Task Learning with Deep Neural Networks: A Survey

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:35:46.662605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 288b6782-8406-43db-8a3b-8272fd40e603 · inbound

4DLidarOpen: An Open 4D FMCW Lidar Dataset for Motion-Aware Autonomous Driving cites this paper.

4DLidarOpen: An Open 4D FMCW Lidar Dataset for Motion-Aware Autonomous Driving Multi-Task Learning with Deep Neural Networks: A Survey

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T10:08:12.300535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 177f9571-3d9d-4d90-90fb-373a2d07682a · inbound

Everywhere Learning: Artificial Intelligence with Pointwise Constraints cites this paper.

Everywhere Learning: Artificial Intelligence with Pointwise Constraints Multi-Task Learning with Deep Neural Networks: A Survey

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:16:16.378995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2c2bbf7c-b8fa-4494-a873-72b577331527 · inbound

SPLIT-PINN: Separable Probability Learning Technique via Physics-Informed Neural Networks for High-Dimensional Probabilistic Modeling cites this paper.

SPLIT-PINN: Separable Probability Learning Technique via Physics-Informed Neural Networks for High-Dimensional Probabilistic Modeling Multi-Task Learning with Deep Neural Networks: A Survey

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:14:41.067297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40677e97-efe4-4339-a5d9-f21e0dbafb40 · inbound

Probabilistic Contrastive Pretraining for Multi-task ADME Property Prediction cites this paper.

Probabilistic Contrastive Pretraining for Multi-task ADME Property Prediction Multi-Task Learning with Deep Neural Networks: A Survey

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:47:38.671290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 26377689-fa50-4058-90c0-be730b75ff7c · inbound

LLM Parameters for Math Across Languages: Shared or Separate? cites this paper.

LLM Parameters for Math Across Languages: Shared or Separate? Multi-Task Learning with Deep Neural Networks: A Survey

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:28:59.039780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ffe34cab-7579-4768-a56f-b72ff9d640f8 · inbound

Unified Multi-Task Relevance Modeling for E-Commerce: Comparing Task Routing Architectures Across LLMs and Cross-Encoders cites this paper.

Unified Multi-Task Relevance Modeling for E-Commerce: Comparing Task Routing Architectures Across LLMs and Cross-Encoders Multi-Task Learning with Deep Neural Networks: A Survey

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:49:51.916235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a6da896c-fded-46b5-a647-b9936e42b77e · inbound

Temporally Consistent Label Interpolation for Robust Surgical Multi-Task Learning under Challenging Conditions cites this paper.

Temporally Consistent Label Interpolation for Robust Surgical Multi-Task Learning under Challenging Conditions Multi-Task Learning with Deep Neural Networks: A Survey

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:39:50.397255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 02e596e9-286f-4d02-8bb1-4a7b6015f762 · inbound

MUSE: Unlocking Timestep as Native Task Steering for One-Step Dense Prediction cites this paper.

MUSE: Unlocking Timestep as Native Task Steering for One-Step Dense Prediction Multi-Task Learning with Deep Neural Networks: A Survey

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:24:19.428137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 74813478-91f6-4fd3-9b24-52bbdea1f43b · inbound

Co-Adaptive Multi-Task LoRA: Transfer-Aware, Label-Free Control of Domain Participation cites this paper.

Co-Adaptive Multi-Task LoRA: Transfer-Aware, Label-Free Control of Domain Participation Multi-Task Learning with Deep Neural Networks: A Survey

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-12T01:54:44.256835Z

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Observation 7eafcd02-8e93-49d1-8ef0-648dddd928a5 · inbound

Modular Foundation Models for Time-Series Perception in Digital Twins cites this paper.

Modular Foundation Models for Time-Series Perception in Digital Twins Multi-Task Learning with Deep Neural Networks: A Survey

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-12T01:22:51.284207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 807d8135-0636-4b4d-8a58-125b707fdb7d · inbound

VAIOM: Continuous-Input, Discrete-Output Decoder-Only Financial Sequence Modeling cites this paper.

VAIOM: Continuous-Input, Discrete-Output Decoder-Only Financial Sequence Modeling Multi-Task Learning with Deep Neural Networks: A Survey

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T03:20:41.065508Z

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Unavailable: canonical work link unavailable.

Observation 8ad71c4d-3494-48f7-9964-fd5dc26f7945 · inbound

LoMeVQA: A Comprehensive Benchmark for Longitudinal Medical VQA cites this paper.

LoMeVQA: A Comprehensive Benchmark for Longitudinal Medical VQA Multi-Task Learning with Deep Neural Networks: A Survey

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-31T01:35:49.325486Z

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Unavailable: canonical work link unavailable.

Observation 8dea5fef-b81c-4d23-8603-86b67b5f7f4b · inbound

A Unified Model for Cross-Domain Clone Detection via Model Merging cites this paper.

A Unified Model for Cross-Domain Clone Detection via Model Merging Multi-Task Learning with Deep Neural Networks: A Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T00:18:18.863959Z

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Unavailable: canonical work link unavailable.