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Paper Citation Record · LEDGER

Dice Loss for Data-imbalanced NLP Tasks

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:1911.02855.

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

pith.paper-citation-record.v1
1911.02855 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:47:49.166908Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:43:25.495786Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

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 10e1a493-1701-46e0-bbcc-746d7d146bb3 · inbound

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition cites this paper.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Dice Loss for Data-imbalanced NLP Tasks

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-22T00:22:10.391371Z

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=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:04b1c357ace2f10512ae612c1cb6be2ba6cd359155b3ac5aec8a31bf7b99ad2b

Observation 594e79e0-6fb2-4a6b-a019-268ec9712253 · inbound

SpikEmo: Enhancing Emotion Recognition With Spiking Temporal Dynamics in Conversations cites this paper.

SpikEmo: Enhancing Emotion Recognition With Spiking Temporal Dynamics in Conversations Dice Loss for Data-imbalanced NLP Tasks

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T15:48:47.598407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:48:47.598407Z digest=sha256:9087b673f08151f21cd031c4f1a2f068b7d838362ced5f160c6f107f31069116

Observation 71b6b376-5843-4946-bd56-3044fe9179de · inbound

STeInFormer: Spatial-Temporal Interaction Transformer Architecture for Remote Sensing Change Detection cites this paper.

STeInFormer: Spatial-Temporal Interaction Transformer Architecture for Remote Sensing Change Detection Dice Loss for Data-imbalanced NLP Tasks

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-11T05:45:22.718923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:45:22.718923Z digest=sha256:443794bde57cd61376365ad11565d9ab9989a269878b0ffcda8c85ee7a0dc31a

Observation 5e7639f8-9e7c-4978-9acc-a03342ada439 · inbound

Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings cites this paper.

Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings Dice Loss for Data-imbalanced NLP Tasks

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-09T16:38:50.840076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:38:50.840076Z digest=sha256:e0372ab0a3406cf769d281640f253319d13db8fe3e397663114b4116d641151c

Observation 5b8ed541-0a76-4004-b9b3-d5a752ddca8a · inbound

3D Deep-learning-based Segmentation of Human Skin Sweat Glands and Their 3D Morphological Response to Temperature Variations cites this paper.

3D Deep-learning-based Segmentation of Human Skin Sweat Glands and Their 3D Morphological Response to Temperature Variations Dice Loss for Data-imbalanced NLP Tasks

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T10:47:49.166908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:47:49.166908Z digest=sha256:4b48e9635e20f8ae288cb9c3fe313682b8f626efe070ab516ffa1b168f2b3236

Observation 20bb6c7c-862e-4b0c-8e11-db2e2281f7ba · inbound

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models cites this paper.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models Dice Loss for Data-imbalanced NLP Tasks

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:24:41.915763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:41.915763Z digest=sha256:bba0dd843223d8411b46e5f14fa3fc967a6a47b8242654ef188c455b1c712002

Observation 4bda86bf-c11d-4172-9739-69e6e3a052d8 · inbound

Implicit Counterfactual Learning for Audio-Visual Segmentation cites this paper.

Implicit Counterfactual Learning for Audio-Visual Segmentation Dice Loss for Data-imbalanced NLP Tasks

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T13:24:26.309876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:24:26.309876Z digest=sha256:8f7b9f665e5873dc235338d32cc81197958451d9a5f3f104ecce70154d317f3a

Observation 15bfc27c-3775-459b-9f8e-1bbe73516059 · inbound

IADGPT: Unified LVLM for Few-Shot Industrial Anomaly Detection, Localization, and Reasoning via In-Context Learning cites this paper.

IADGPT: Unified LVLM for Few-Shot Industrial Anomaly Detection, Localization, and Reasoning via In-Context Learning Dice Loss for Data-imbalanced NLP Tasks

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T20:20:12.530871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:20:12.530871Z digest=sha256:cdae78c8615b4565275e90f1a71c347d1adb07a1f424ad25a12515628f7a595b

Observation da649e16-38d3-4ac8-9dea-ba29c5f8d1a3 · inbound

Temporal-Conditional Referring Video Object Segmentation with Noise-Free Text-to-Video Diffusion Model cites this paper.

Temporal-Conditional Referring Video Object Segmentation with Noise-Free Text-to-Video Diffusion Model Dice Loss for Data-imbalanced NLP Tasks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T19:01:53.034601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:01:53.034601Z digest=sha256:09359f286db2d08a634b844243dc11d238a5d11f2c02b844c52b4f0fad8063be

Observation e0b1ab3b-ee41-4a7b-bd29-4505150c5d7b · inbound

Defect-aware Hybrid Prompt Optimization via Progressive Tuning for Zero-Shot Multi-type Anomaly Detection and Segmentation cites this paper.

Defect-aware Hybrid Prompt Optimization via Progressive Tuning for Zero-Shot Multi-type Anomaly Detection and Segmentation Dice Loss for Data-imbalanced NLP Tasks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T17:28:41.373771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:28:41.373771Z digest=sha256:ae0295637d0aecb2c9c130fd8d0dffcb91d8be1e6a26c69d5a477956542bb6a6

Observation 7d1c3818-6927-48cb-880d-0f32bb0c16d5 · inbound

Motion-aware Event Suppression for Event Cameras cites this paper.

Motion-aware Event Suppression for Event Cameras Dice Loss for Data-imbalanced NLP Tasks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T20:28:25.658936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:28:25.658936Z digest=sha256:a405ee9b9b9ecda178077285baf91aaa2de0c77714862aff5a6ca4c7a42ba651

Observation 344ecb0c-b952-43e1-be9a-ce03c0ae1b45 · inbound

InCTRLv2: Generalist Residual Models for Few-Shot Anomaly Detection and Segmentation cites this paper.

InCTRLv2: Generalist Residual Models for Few-Shot Anomaly Detection and Segmentation Dice Loss for Data-imbalanced NLP Tasks

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-22T00:22:10.391371Z

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=2026-05-10T20:26:21.587723Z digest=sha256:1c3d63efd58ef225c07dcba319c7cb0e85dfe77dbb96584c8107df7bd258d26c

Observation ef68d755-5668-44f6-9f32-24be22e81930 · inbound

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective cites this paper.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Dice Loss for Data-imbalanced NLP Tasks

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-12T12:37:04.098637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:1b3864178371495a99b16d1c3bf2509baf4f718204dab0fa6bfa114d30b8540c

Observation e35ed05b-238c-4e6b-84c8-628b93e02472 · inbound

VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection cites this paper.

VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Dice Loss for Data-imbalanced NLP Tasks

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-03T08:25:36.012333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:25:36.012333Z digest=sha256:6cac8b32178b11cc2cad50a09a6d7d1a30f498534fcff9b87dc7a57fc805a384