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Paper Citation Record · LEDGER

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction

As of 11 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2501.02006.

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

pith.paper-citation-record.v1
2501.02006 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:40:56.894692Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

  • verified exact1
  • verified fuzzy33
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 40a6e035-b676-45f4-b3ba-79a6391f9fe1 · outbound

This paper cites Which tasks should be learned together in multi- task learning?.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Which tasks should be learned together in multi- task learning?

Reference 1

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raw_fallback, observed 2026-08-10T22:40:57.533520Z

Source-reported events for the cited work

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

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Observation b1eba40d-5780-4084-822f-9b4974cf79a6 · outbound

This paper cites Driving scene perception network: Real-time joint detection, depth estimation and semantic segmentation,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Driving scene perception network: Real-time joint detection, depth estimation and semantic segmentation,

Reference 2

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raw_fallback, observed 2026-08-10T22:40:57.516079Z

Source-reported events for the cited work

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

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Observation 0e21cd0b-9efe-41a0-8fd2-0d72403e9add · outbound

This paper cites Task-Oriented Communications for 6G: Vision, Principles, and Technologies.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Task-Oriented Communications for 6G: Vision, Principles, and Technologies

Reference 3

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local_arxiv, observed 2026-08-10T22:40:56.970344Z

Source-reported events for the cited work

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

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Observation 31bccd73-1bc7-4397-af0b-412c722ce74c · outbound

This paper cites Beyond transmitting bits: Context, semantics, and task-oriented communications,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Beyond transmitting bits: Context, semantics, and task-oriented communications,

Reference 4

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raw_fallback, observed 2026-08-10T22:40:57.501300Z

Source-reported events for the cited work

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

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Observation a50d4f22-9efa-4914-bdda-48b7998b3f97 · outbound

This paper cites Toward wisdom-evolutionary and primitive-concise 6G: A new paradigm of semantic communication networks,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Toward wisdom-evolutionary and primitive-concise 6G: A new paradigm of semantic communication networks,

Reference 5

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raw_fallback, observed 2026-08-10T22:40:57.486452Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.730806Z digest=sha256:a991b1ae97091f5c75d4e85dade94f1deb5b86a4f316ff2cef678a66e33dc66f

Observation d7cb7240-61dc-42f3-be25-83cc3df585bf · outbound

This paper cites Communication beyond transmitting bits: Semantics-guided source and channel coding,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Communication beyond transmitting bits: Semantics-guided source and channel coding,

Reference 6

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raw_fallback, observed 2026-08-10T22:40:57.470771Z

Source-reported events for the cited work

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

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Observation 448dd265-3b8b-437a-bc54-4be8c8b2ec29 · outbound

This paper cites Edge computing for metaverse: Incentive mech- anism versus semantic communication,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Edge computing for metaverse: Incentive mech- anism versus semantic communication,

Reference 7

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raw_fallback, observed 2026-08-10T22:40:57.455273Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.741097Z digest=sha256:1f49d03f7bd45ef6efd794b1d465f0f1857612c99d86734efffd1d8a54977bfa

Observation 87c92fee-1e87-4f25-b146-0777ab7f00a7 · outbound

This paper cites Deep joint source- channel coding for wireless image transmission,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Deep joint source- channel coding for wireless image transmission,

Reference 8

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no resolver link, observed 2026-08-10T22:40:56.746277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:40:56.746277Z digest=sha256:d6979d883cc77ff6f4c76cc20a8f625d4274ca8a54e077212dfd39b07db2d2a7

Observation 4936f0dd-95fa-47fe-b98d-de96a48b5ad1 · outbound

This paper cites Deep learning enabled semantic communication systems,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Deep learning enabled semantic communication systems,

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:40:56.750824Z digest=sha256:9afa5551b241b82b9aeecea4b1dcc3c3a123e627623452f76540710a2102414c

Observation d16d08a3-ba56-4f46-84c4-71bc9ff3fb60 · outbound

This paper cites A new communication paradigm: from bit accuracy to semantic fidelity.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction A new communication paradigm: from bit accuracy to semantic fidelity

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:40:56.755470Z digest=sha256:1e47c3cf61d823457e3592a7f1647aedb51d8d5536fc694168415fda029050fd

Observation 59059294-491f-4952-be77-7a59a9d4c90f · outbound

This paper cites Task-oriented multi-user semantic communications for VQA,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Task-oriented multi-user semantic communications for VQA,

Reference 11

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raw_fallback, observed 2026-08-10T22:40:57.419809Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.760468Z digest=sha256:5e68cd399fc00ea9f38b99d2ed964b8c21f826c01e4d28aa93b70c0f193e0de2

Observation c5458b55-1a28-432d-8e85-3ce230bb2251 · outbound

This paper cites Learning task-oriented communication for edge inference: An information bottleneck approach,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Learning task-oriented communication for edge inference: An information bottleneck approach,

Reference 12

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raw_fallback, observed 2026-08-10T22:40:57.404368Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.765293Z digest=sha256:3293883800183f3552c5270170bc0eed08d650eb8e150182df31d6f0d7cd1cd5

Observation f386c5c1-7c32-4667-bcf6-27a628f249ec · outbound

This paper cites Semantic transfer between different tasks in the semantic communication system,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Semantic transfer between different tasks in the semantic communication system,

Reference 13

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.769934Z digest=sha256:0684b9cad1c8566df880c241cac7ac1cfd45b4ae677c9b6bfdf56d30af11c6b2

Observation 87ac05af-1f94-4517-85ee-0b676e18fd85 · outbound

This paper cites A unified multi-task semantic communication system for multimodal data,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction A unified multi-task semantic communication system for multimodal data,

Reference 14

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raw_fallback, observed 2026-08-10T22:40:57.373137Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.774563Z digest=sha256:f0d384df6173b7770e2c8869a8bcc0acb341b787cfffec683dc3cd211be95cc4

Observation cfbdf08a-019d-482b-91b7-b3d8fefea098 · outbound

This paper cites A unified multi-task semantic communication system with domain adaptation,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction A unified multi-task semantic communication system with domain adaptation,

Reference 15

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raw_fallback, observed 2026-08-10T22:40:57.355516Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.779185Z digest=sha256:42a6f6b393e2553ae5e1e830ca9ee96f8215e59f3650f059278cad137cf565eb

Observation e2a71bb8-14fe-4368-ae5e-ef57c1bb9b0b · outbound

This paper cites Image semantic communications: An extended rate-distortion theory based scheme,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Image semantic communications: An extended rate-distortion theory based scheme,

Reference 16

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raw_fallback, observed 2026-08-10T22:40:57.339782Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.783726Z digest=sha256:d0949511eb4232569a890889ffe1be39745779e83f937e25fbeb3f78d5efa495

Observation 566426d9-fbc7-496d-8429-bc733fd378c2 · outbound

This paper cites Semantic communication approach for multi-task image transmission,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Semantic communication approach for multi-task image transmission,

Reference 17

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raw_fallback, observed 2026-08-10T22:40:57.323744Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.788144Z digest=sha256:221e72b8fa795b73395ef1e0b87ca4f0f3061cea60a8dab2f65188b316ec7065

Observation 5a18cab7-c3d7-4acf-afc7-e1bcafd459e2 · outbound

This paper cites A multi-task semantic communication system for natural language processing,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction A multi-task semantic communication system for natural language processing,

Reference 18

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raw_fallback, observed 2026-08-10T22:40:57.308801Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.793158Z digest=sha256:8715f5b854a0a32327dd1a47a621042948e2f64095573c4ecb8bce382a63f50d

Observation d031ce2d-a61c-4230-8849-020f7044c948 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 19

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.797550Z digest=sha256:da6a85557bb1f4ecf90dc4fcac71e58faa9651e66a2a637716ec48edb05e0642

Observation 99a05378-f95d-4f2b-b2df-fb9969965355 · outbound

This paper cites A mathematical theory of communication,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction A mathematical theory of communication,

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:40:56.802056Z digest=sha256:be25acf44be34311a702d110460854bf9090d8a1bd1e8308ca2658bacd1d3dfd

Observation d944e604-2cde-48d3-badb-bd458cbea7c2 · outbound

This paper cites Scalable multi-task semantic communication system with feature importance ranking,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Scalable multi-task semantic communication system with feature importance ranking,

Reference 21

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raw_fallback, observed 2026-08-10T22:40:57.266719Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.806924Z digest=sha256:c0fa7b97bc1a5292479c43ea49920b86224386f1bb0c3501619f77bd408ac327

Observation ba9d5856-a5a2-463c-b14f-e59b88d56754 · outbound

This paper cites Cross-stitch networks for multi-task learning,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Cross-stitch networks for multi-task learning,

Reference 22

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raw_fallback, observed 2026-08-10T22:40:57.251048Z

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

source=pdf_text observed=2026-08-10T22:40:56.812435Z digest=sha256:f9ae724cf060f078538002fd7b3c2d846509d53d219ae4da21f5f588c50044b9

Observation d5059839-d000-47c6-a5dd-82f532cccf94 · outbound

This paper cites Latent multi-task architecture learning,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Latent multi-task architecture learning,

Reference 23

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raw_fallback, observed 2026-08-10T22:40:57.234008Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.816908Z digest=sha256:5f6da815b64972fe0b2a55fc78478a9c46c1334847b6325ad18e8643c2756f19

Observation cd8b87a8-3989-4597-ac2f-79996b18e92e · outbound

This paper cites End-to-end multi-task learning with attention,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction End-to-end multi-task learning with attention,

Reference 24

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raw_fallback, observed 2026-08-10T22:40:57.218219Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.821566Z digest=sha256:c7ce902cb8e9ada4fb1eab160a1e07483c50c9a1697b2ca25114c1f0a5efbc3d

Observation 728a5a5d-b6b4-4f58-a7b9-956416756238 · outbound

This paper cites Nddr-cnn: Layerwise feature fusing in multi-task cnns by neural discriminative dimensionality reduction,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Nddr-cnn: Layerwise feature fusing in multi-task cnns by neural discriminative dimensionality reduction,

Reference 25

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raw_fallback, observed 2026-08-10T22:40:57.201296Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.825896Z digest=sha256:7b3eec5e186b30c1617e7a885ec5e99b57e57d9a65c7954128b914f2c70c54e0

Observation 742bceb5-4966-4e50-96a7-33efe39e1363 · outbound

This paper cites Deep elastic networks with model selection for multi-task learning,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Deep elastic networks with model selection for multi-task learning,

Reference 26

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raw_fallback, observed 2026-08-10T22:40:57.185677Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.830381Z digest=sha256:67e7a43b29df01d4db59c04686bff0b0048f564180df2a423fad2381a11afae6

Observation c83005a6-4120-4729-98dc-667ca06103d7 · outbound

This paper cites Adashare: Learning what to share for efficient deep multi-task learning,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Adashare: Learning what to share for efficient deep multi-task learning,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-10T22:40:57.170033Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.834903Z digest=sha256:72297cfd97bf2562d43576b94b46e48d4438980add6a4b8d64c21aab8996c66e

Observation 0c2b7d4d-9934-4d39-bbc8-17b30e8c7734 · outbound

This paper cites Dynashare: Task and instance conditioned parameter sharing for multi-task learning,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Dynashare: Task and instance conditioned parameter sharing for multi-task learning,

Reference 28

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raw_fallback, observed 2026-08-10T22:40:57.154579Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.839307Z digest=sha256:a7c5f43ac3f565554251825d0e303c5b3617a60ca08b0f7475c1d332cd13c655

Observation fbcd8d24-523a-431a-9b1a-98f044a24a14 · outbound

This paper cites DeepJSCC-f: Deep joint source-channel coding of images with feedback,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction DeepJSCC-f: Deep joint source-channel coding of images with feedback,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-10T22:40:57.138434Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.843866Z digest=sha256:81055fa16327d95d57c954d85d14aaf73fc3a8dc29eae2a300690a7f1895e42d

Observation d9c8f1f3-3241-4859-a5a1-247c59b25e11 · outbound

This paper cites Wireless image transmission using deep source channel coding with attention modules,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Wireless image transmission using deep source channel coding with attention modules,

Reference 30

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unresolved
no resolver link, observed 2026-08-10T22:40:56.848416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:40:56.848416Z digest=sha256:37a8185c94accdb67b77bd821d818da095ddad41c726ec86af72c6e1d979f43d

Observation d3660e32-2b4e-4e15-b959-6f4ea8d7bfef · outbound

This paper cites A comprehensive survey on graph neural networks,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction A comprehensive survey on graph neural networks,

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-10T22:40:57.112122Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.852811Z digest=sha256:8a2e8110769d86d7e0c87ab3d0b79873b4313ff7faa3be301f533357b591259d

Observation 4fef22e9-44b9-4987-a36c-fd244cc63223 · outbound

This paper cites Attention is all you need,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Attention is all you need,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-10T22:40:57.097158Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.857321Z digest=sha256:9e91cd78148932c0ca9f66b81ad6edbcdd5d41352a9ba9a6c55df9bdba8971bf

Observation f12c3662-6c7d-4b1a-b245-0b4b4500e9de · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Imagenet classification with deep convolutional neural networks,

Reference 33

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raw_fallback, observed 2026-08-10T22:40:57.081644Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.861714Z digest=sha256:2e0ad316712e95092394f9278b64fe6ec2f1e6eb04a9814500b4a1b0ae526dff

Observation c10d83ef-6c73-4fed-8798-56cdff0d2594 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction The cityscapes dataset for semantic urban scene understanding,

Reference 34

Resolution
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raw_fallback, observed 2026-08-10T22:40:57.066363Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.866414Z digest=sha256:eb890399c0e4e27c46a8a2a0a57541a968ded9d56fea2bfbbfff287c24fc1ece

Observation ffa6d8a6-c615-4717-b781-b09e5d8203b9 · outbound

This paper cites Indoor segmentation and support inference from rgbd images,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Indoor segmentation and support inference from rgbd images,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:40:57.049629Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.870866Z digest=sha256:e7e8187b57117966649535e26e669a915aa5c327d5686285de928f61e01350a5

Observation f6e0dfb1-6594-48a1-a3dd-afd55c767655 · outbound

This paper cites Taskonomy: Disentangling task transfer learning,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Taskonomy: Disentangling task transfer learning,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:40:57.033365Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.876174Z digest=sha256:6ea68d68b1ba254600350a6957d33b5bdbddb299da84a4499a3e5a5e9696e8ab

Observation 2da00431-e252-4478-baad-d64757c2b274 · outbound

This paper cites Cats and dogs,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Cats and dogs,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:40:57.018134Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.880973Z digest=sha256:56141ae033878d6ab40ae15a266bf705a402991726b28e5109fa62ac9e606ef9

Observation 74a7fdc5-65d2-4003-8a28-5007b9566501 · outbound

This paper cites Sentiment analysis on multi-view social data,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Sentiment analysis on multi-view social data,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:40:57.002512Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.885454Z digest=sha256:175ce9e9adc49fd0fc2dc2f1d9d821c31a29deefb2887e2291db0afee6037ad7

Observation ba3ed515-3197-4ed6-ad93-4aad54999fd4 · outbound

This paper cites On First-Order Meta-Learning Algorithms.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction On First-Order Meta-Learning Algorithms

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T22:40:56.889875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:40:56.889875Z digest=sha256:14fa8c01c0e56b07bc4a531deb189033bfc20ab24a8c955e3820d7ff40fbbfe2

Observation 52401d04-c4bc-4a10-b8ca-5810aef76bbd · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:40:56.986530Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:40:56.894692Z digest=sha256:cc625ed8fa5a3939a6be583a67269d7cec473fb449d397bf68bfac23325468a0

Pith citing papers

No inbound Pith citation observations are available.