Paper Citation Record · LEDGER

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation

As of 22 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2505.00009.

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

pith.paper-citation-record.v1
2505.00009 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:51:05.989268Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

29 of 29 outbound references displayed

verified exact1
verified fuzzy26
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation decf8f51-2971-4a66-8840-ec3d51fe0d60 · outbound

This paper cites Language models are few-shot learners,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Language models are few-shot learners,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.772987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3946d06a-c012-4dc1-951c-73d75e01de26 · outbound

This paper cites Pre-trained language models and their applications,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Pre-trained language models and their applications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.753537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5173e030-7714-49bd-84d8-8bd6f8b10970 · outbound

This paper cites Enhancing autonomous driving through dual-process learning with behavior and reflection integration,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Enhancing autonomous driving through dual-process learning with behavior and reflection integration,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.732004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0ef93512-fec0-4a76-81a9-01cfab36e7d1 · outbound

This paper cites Autonomous driving system based on dual process theory and deliberate practice theory,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Autonomous driving system based on dual process theory and deliberate practice theory,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.712397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 65caf50e-bfd7-4141-8143-23b723d00eba · outbound

This paper cites CreDes: Causal Reasoning Enhancement and Dual-End Searching for Solving Long-Range Reasoning Problems using LLMs.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation CreDes: Causal Reasoning Enhancement and Dual-End Searching for Solving Long-Range Reasoning Problems using LLMs

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:51:06.128050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 623c68d7-d941-46c6-94d1-e56b517c7dc2 · outbound

This paper cites Introducing openai o1-preview: A new reasoning model,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Introducing openai o1-preview: A new reasoning model,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.688591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2ee44c3f-189c-4f5d-b2fb-33b431ba4825 · outbound

This paper cites Introducing canvas: A new way to write and code with chat- gpt,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Introducing canvas: A new way to write and code with chat- gpt,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.668297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 19bddefa-00a3-4bbe-b42f-54a2dde0333c · outbound

This paper cites The power of scale for parameter- efficient prompt tuning,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation The power of scale for parameter- efficient prompt tuning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.649801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7b9b48e5-9926-4883-9ce2-5e9326d16c26 · outbound

This paper cites Spot: Better frozen model adaptation through soft prompt transfer,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Spot: Better frozen model adaptation through soft prompt transfer,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.627669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 787381f1-9539-4046-9f7f-e92529579aea · outbound

This paper cites Multitask prompt tuning enables parameter-efficient transfer learning,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Multitask prompt tuning enables parameter-efficient transfer learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.606570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bc73d0b4-88c1-49b7-8264-40ec565e2b2e · outbound

This paper cites Efficient pareto manifold learning with low-rank structure,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Efficient pareto manifold learning with low-rank structure,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.584803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2e8201a9-a533-4780-ab72-e00964574435 · outbound

This paper cites Universality and limitations of prompt tuning,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Universality and limitations of prompt tuning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.561641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 741328ce-5ac6-4495-8a5e-e1eb2e348525 · outbound

This paper cites When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:51:05.832165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50cdeb34-2ab8-4003-a4f3-9d774ae8e617 · outbound

This paper cites Towards a unified view of parameter-efficient transfer learning,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Towards a unified view of parameter-efficient transfer learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.533835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d77b1597-989c-4530-9725-8f949f296e6c · outbound

This paper cites Llama- adapter: Efficient fine-tuning of large language models with zero- initialized attention,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Llama- adapter: Efficient fine-tuning of large language models with zero- initialized attention,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.507239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c378393-626b-4921-b327-6e56833cb9f4 · outbound

This paper cites Multitask pre-training of modular prompt for Chinese few-shot learning,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Multitask pre-training of modular prompt for Chinese few-shot learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.482788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a83e626a-501d-4f15-a7c3-8c2732f1830b · outbound

This paper cites Effective and efficient few-shot fine-tuning for vision transformers,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Effective and efficient few-shot fine-tuning for vision transformers,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.453176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6ef90f96-ff77-49c1-a6e0-f9dfe8fdec43 · outbound

This paper cites Bitfit: Simple parameter- efficient fine-tuning for transformer-based masked language-models,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Bitfit: Simple parameter- efficient fine-tuning for transformer-based masked language-models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.420188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0d0e4029-5376-40ea-b827-d81545e84127 · outbound

This paper cites Lst: ladder side-tuning for parameter and memory efficient transfer learning,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Lst: ladder side-tuning for parameter and memory efficient transfer learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.393310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a1a3971a-82af-4b17-82ff-f31d0d174d06 · outbound

This paper cites Parameter-efficient transfer learning for nlp,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Parameter-efficient transfer learning for nlp,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.369848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 598e5ebb-2278-47af-bde7-4bffe4397f1d · outbound

This paper cites Parameter- efficient multi-task fine-tuning for transformers via shared hypernet- works,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Parameter- efficient multi-task fine-tuning for transformers via shared hypernet- works,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.339559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9db34577-2eef-4964-ba1b-ed7319407ea4 · outbound

This paper cites Adapterfusion: Non-destructive task composition for transfer learning,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Adapterfusion: Non-destructive task composition for transfer learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.322602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation abf68d17-2a48-4889-a73b-c88540456cac · outbound

This paper cites P-tuning: Prompt tuning can be comparable to fine-tuning across scales and tasks,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation P-tuning: Prompt tuning can be comparable to fine-tuning across scales and tasks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.303400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ff3a0490-7d5a-40f9-8186-60634adb842e · outbound

This paper cites Bartender: A simple baseline model for task-level heterogeneous federated learning,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Bartender: A simple baseline model for task-level heterogeneous federated learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.270718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d0c0888c-59c3-4c9f-a67b-60432ff27944 · outbound

This paper cites Enhancing multimodal sentiment analysis via learning from large language model,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Enhancing multimodal sentiment analysis via learning from large language model,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.238774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1e0df599-3842-475e-9cf1-cee709bb6457 · outbound

This paper cites Attempt: Parameter- efficient multi-task tuning via attentional mixtures of soft prompts,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Attempt: Parameter- efficient multi-task tuning via attentional mixtures of soft prompts,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.208790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c5112786-c562-4508-891f-2c33e8068d08 · outbound

This paper cites Qwen2.5 Technical Report.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Qwen2.5 Technical Report

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T11:51:05.966889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 603aa94c-1bf1-4e49-acd8-93150b392a75 · outbound

This paper cites Omni-granularity embedding network for text-to-image person retrieval,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Omni-granularity embedding network for text-to-image person retrieval,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.174496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 416a229b-22ca-4a48-a73e-677ae2c3e737 · outbound

This paper cites Csce: Boosting llm reasoning by simultaneous enhancing of causal significance and consistency,.

Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation Csce: Boosting llm reasoning by simultaneous enhancing of causal significance and consistency,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:51:06.152735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.