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Paper Citation Record · LEDGER

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

As of 24 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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.710334Z digest=sha256:81a5f4c2f2ff87f25f9b5ac7d7360660daec3c565653ac8f37bf43c55802ebfd

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.720546Z digest=sha256:cc43c20265f6612f3c953d5e3ac2936f735551c89f976d27fa445d616b71823a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.729556Z digest=sha256:474b87eda7f2c097c2550cc5d8fd2c756a7574fa690d834448101b6f25c8b9e1

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.749376Z digest=sha256:184cca211ef67f25b2330dc67737682ea03475d330513a5785c9ee8322f53dd6

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.757892Z digest=sha256:39861b2ea5e4bf166a3b0a78d84b59be4bc3b306f510c41ae305925a656b83b7

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.766975Z digest=sha256:dcda53fb059c85e831907ea306ff0690a2cd5656c61c059c2af96cf361b8ba15

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.777344Z digest=sha256:a9ba85d7d57d4cf48ce78165d1ea90c5188c0b3a9c680cbcff063e6dab84a2f6

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.784762Z digest=sha256:8a68f2c3f333615237f45f96c8962892ed3f74b19d0399697b31716071f14e5f

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.793977Z digest=sha256:aa90dbe306ff004c8652cbe7190b4aa94d9ed3850384553368f303833f713d23

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.801294Z digest=sha256:f7d32cc60fb8ba5db2be17d2da85cb3b25d167524285499481f30c2f710c6113

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.807902Z digest=sha256:a27b1d62b85de4d9da6864266bdc58b4aa28adf52ef27d3fe8f329514f636b7b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.823479Z digest=sha256:94e8e7d34f1cf513e2ae7b154541f976dcf17cdf796c290fa837b06d196ec28c

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.

source=pdf_text observed=2026-08-16T11:51:05.832165Z digest=sha256:e383cc8bad292485e64c3a0aaeda5d82605fbba24b6bf67beabd47828121b095

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.842871Z digest=sha256:9cb028d36941782e3f73115ff0c3c413cf7f560565897bbc0aba2958fe80f99a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.850505Z digest=sha256:5fbb9908b3fb23c9e75d922edc24b80e5893125403336c5e73ad04be5f43ff9e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.860711Z digest=sha256:b6212c06a51d96abbcfedec2d13ff2247378f50f89e11dd2fa628acf7623993f

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.868773Z digest=sha256:06e3765dff4944c7b44c63459aeee16f1a492eb3d870246778b68f6b87297f0c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.876137Z digest=sha256:597ecdbf0cbc44158044ce58103e0781662f60b3632525b0e81be1b85d9cc8c3

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.896993Z digest=sha256:5d13f8a4abf75fffc15903c99fe16dec055ef8068baad88b01534774590ee2d7

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.906132Z digest=sha256:dc98df67e25170e02616141e00add042d78dda2e0b324fd501aec83a284ae35c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.918337Z digest=sha256:5bf7f9e9c0063b5cd257052217e0235f2a34774686082bdc89d2a9ec7fca436b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.926960Z digest=sha256:746aec0f2bc1dc5132b6d471f6f640988f368733cbd8e3f825f140aaa42959a5

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.934481Z digest=sha256:292dd5f1108a46fa122efcb7e92b435e28b5032f3cf9774dc0770d0cc7273ddc

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.943158Z digest=sha256:4f5e742b12051bfb007f6105839bfb4c3452ebde75ee29b97ce9620a362fed2f

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.949728Z digest=sha256:b94e582e173be5ffe6f1195775b5682b80a9eb5bb4332e452d2e707492562c09

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.958541Z digest=sha256:1a330209fc84ceb9cf76a38ec7f16414ea66b4d0a9aee903c987ae7ee6bb1a70

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.

source=pdf_text observed=2026-08-16T11:51:05.966889Z digest=sha256:28f5c082cec0511bb345beb9afcbd595766d352a46ed34c4f8f7d1cb26322039

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.975404Z digest=sha256:2c58758558880cf41db253419c0e2a54245e401b8be48ba930864cca010c41b8

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T11:51:05.989268Z digest=sha256:3e989568ce65c740ecc90a6852d337bf82e249ab22b3c4ffde952644d38c682e

Pith citing papers

No inbound Pith citation observations are available.