Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:55:32.890575Z
Paper Citation Record · LEDGER
Graph Coloring for Multi-Task Learning
As of 17 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2509.16959.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
15 of 15 outbound references displayed
- verified exact0
- verified fuzzy6
- unresolved8
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e3eccb46-bc71-4861-ab24-8446894fa94c · outbound
This paper cites an unresolved cited work.
Graph Coloring for Multi-Task Learning Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:55:33.163807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 693c02af-a86d-4c0e-8e21-5f4d5f1f61d0 · outbound
This paper cites This maintains consistent training dynamics across tasks.
Graph Coloring for Multi-Task Learning This maintains consistent training dynamics across tasks
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:55:33.153131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3596105c-603d-4846-995b-99bb440cdfc0 · outbound
This paper cites The Natural Language Decathlon: Multitask Learning as Question Answering.
Graph Coloring for Multi-Task Learning The Natural Language Decathlon: Multitask Learning as Question Answering
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:55:32.844403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0cc8ba6-e08f-49c5-95c0-dec5ec3a4048 · outbound
This paper cites It uses an online, per-step rule (no pairwise gradient ops), adding negligible overhead while remaining robust to loss-scale differences.
Graph Coloring for Multi-Task Learning It uses an online, per-step rule (no pairwise gradient ops), adding negligible overhead while remaining robust to loss-scale differences
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:55:33.066412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 94df40a9-1632-4cda-ada0-e717d32bd07c · outbound
This paper cites The parameterα controls the trade-off between average performance and fairness.
Graph Coloring for Multi-Task Learning The parameterα controls the trade-off between average performance and fairness
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:55:33.053895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bfec0c02-fa40-4a16-909d-4bd483f0f8fe · outbound
This paper cites Weights are obtained by solving a small inner problem (e.g., via CCP) using the gradient Gram matrix.
Graph Coloring for Multi-Task Learning Weights are obtained by solving a small inner problem (e.g., via CCP) using the gradient Gram matrix
Reference 6
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-15T15:55:32.992085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3a3a2045-0283-406e-b97c-2f9f0632368f · outbound
This paper cites an unresolved cited work.
Graph Coloring for Multi-Task Learning Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:55:33.141674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 551b163a-1184-4a2e-908b-c2dac6101070 · outbound
This paper cites an unresolved cited work.
Graph Coloring for Multi-Task Learning Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:55:33.118390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9eab2c51-d3bc-48df-b1ca-b1ab3485d02a · outbound
This paper cites This proves more nuanced modifications to gradients than binary projection.
Graph Coloring for Multi-Task Learning This proves more nuanced modifications to gradients than binary projection
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:55:33.102730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e1138b99-6401-47eb-8167-1adb520b39a3 · outbound
This paper cites an unresolved cited work.
Graph Coloring for Multi-Task Learning Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:55:33.079459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fc0fe487-bb54-4fc2-97e6-e5fd61e6da4a · outbound
This paper cites An Overview of Multi-Task Learning in Deep Neural Networks.
Graph Coloring for Multi-Task Learning An Overview of Multi-Task Learning in Deep Neural Networks
Reference 2004
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:55:32.848324Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d26eb3cc-fff2-4a69-bba6-eccc97bab4c0 · outbound
This paper cites 36 K.2 State-of-the-art models.
Graph Coloring for Multi-Task Learning 36 K.2 State-of-the-art models
Reference 2014
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:55:33.130321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b6d1012c-49fd-413b-9537-f69e85095cf0 · outbound
This paper cites J.2 CIF AR-10 The CIFAR-10 (Krizhevsky et al., 2009) dataset contains 60,00032× 32color images across 10 generic classes.
Graph Coloring for Multi-Task Learning J.2 CIF AR-10 The CIFAR-10 (Krizhevsky et al., 2009) dataset contains 60,00032× 32color images across 10 generic classes
Reference 2015
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:55:33.173904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1c751349-b699-4d22-9be0-e4d8d755fed0 · outbound
This paper cites Deep Residual Learning for Image Recognition.
Graph Coloring for Multi-Task Learning Deep Residual Learning for Image Recognition
Reference 2016
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:55:32.840193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0ec671d-e25d-4f90-b41c-912806629ddc · outbound
This paper cites Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction.
Graph Coloring for Multi-Task Learning Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:55:32.835363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.