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Paper Citation Record · LEDGER

Understanding and Improving Information Transfer in Multi-Task Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2005.00944.

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

pith.paper-citation-record.v1
2005.00944 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:43:34.814168Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:39:57.431040Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • 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 7d94b49e-babd-4f89-a1fe-bc5b1dddfcd9 · inbound

USTCCTSU at SemEval-2024 Task 1: Reducing Anisotropy for Cross-lingual Semantic Textual Relatedness Task cites this paper.

USTCCTSU at SemEval-2024 Task 1: Reducing Anisotropy for Cross-lingual Semantic Textual Relatedness Task Understanding and Improving Information Transfer in Multi-Task Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T10:43:34.814168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:43:34.814168Z digest=sha256:f0e332aba412f50785d155922bf92436aed9150afd70a528c4dc28be8a678aaf

Observation bdf1e1df-1c14-4e5f-a005-f9341c44da17 · inbound

Adaptive Multi-task Learning for Multi-sector Portfolio Optimization cites this paper.

Adaptive Multi-task Learning for Multi-sector Portfolio Optimization Understanding and Improving Information Transfer in Multi-Task Learning

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:42:01.463410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-19T03:37:09.370270Z digest=sha256:81371fe9dac5da63b6d41ec48ad4287ca116dda36828c9d6805a85c60df0a6ca

Observation 81c62c41-6fe4-4d81-9ad9-b61db22e030a · inbound

Multi-Task GRPO: Reliable LLM Reasoning Across Tasks cites this paper.

Multi-Task GRPO: Reliable LLM Reasoning Across Tasks Understanding and Improving Information Transfer in Multi-Task Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T04:17:27.107209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:17:27.107209Z digest=sha256:7fb050ddfe39fafbec354fb2a80ca3d27c39cee7e77b50789dbbe6a5c0048669

Observation 49d48001-e5c6-480b-beab-069a98477ba5 · inbound

Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety cites this paper.

Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety Understanding and Improving Information Transfer in Multi-Task Learning

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:38:21.494532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-20T14:37:24.057523Z digest=sha256:f99cf2979956cef1847813649ef40b7034180a773a7d7b29e94713a21e4f007f

Observation 417801a3-5ef9-4146-a7ad-24307cf747ae · inbound

iGSP:Implicit Gradient Subspace Projection for Efficient Continual Learning of Vision-Language Models cites this paper.

iGSP:Implicit Gradient Subspace Projection for Efficient Continual Learning of Vision-Language Models Understanding and Improving Information Transfer in Multi-Task Learning

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T07:18:06.816505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T07:17:49.088846Z digest=sha256:22ae80b45a08ddf03926e3eee3b1b3e04921681b8533466df64eb08c89de9926

Observation fc1c65ea-cf63-40da-8dc8-f267828a3f0b · inbound

SURGELLM: Rethinking Multi-Task Evaluation through Task-Aware Feature Gating with Class-Balanced Normalization cites this paper.

SURGELLM: Rethinking Multi-Task Evaluation through Task-Aware Feature Gating with Class-Balanced Normalization Understanding and Improving Information Transfer in Multi-Task Learning

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:39:57.432524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T00:25:33.313911Z digest=sha256:0209d145e3589610e13ec6b533c077c351b9d1cd02988679846642c3d752e3d8

Observation 90caaac6-530f-4972-9b5e-3add4f9a8891 · inbound

Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage cites this paper.

Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage Understanding and Improving Information Transfer in Multi-Task Learning

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:44:56.457382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-30T04:41:41.370083Z digest=sha256:a16a514f24d443c9adda29b19eecc2e7c635700099856451d42531dcc3db3c42