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Paper Citation Record · LEDGER

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2507.22872.

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

pith.paper-citation-record.v1
2507.22872 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:16:49.110148Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

39 of 39 outbound references displayed

  • verified exact1
  • verified fuzzy30
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c98a138f-7173-4f25-b4e4-8e86b1715706 · outbound

This paper cites Token merging: Your vit but faster, 2023.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Token merging: Your vit but faster, 2023

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 40880d02-e17e-470a-8278-2133d83d9383 · outbound

This paper cites Language models are few-shot learners.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Language models are few-shot learners

Reference 2

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b63ec42d-984b-4f3e-a5df-391eb277415a · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recognition.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Adaptformer: Adapting vision transformers for scalable visual recognition

Reference 3

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1ac69d1b-3b26-473b-a41c-1d5ca7dc3e31 · outbound

This paper cites Novel datasets for fine-grained image categoriza- tion.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Novel datasets for fine-grained image categoriza- tion

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:16:45.703890Z digest=sha256:02138bd2e6611a0a2edcfcd2d228459b8dededf5ac1e711c1e5512eb71cd00c1

Observation 82b53144-599c-4f42-8153-b4f5d11a623a · outbound

This paper cites Bert: Pre-training of deep bidirectional transform- ers for language understanding.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Bert: Pre-training of deep bidirectional transform- ers for language understanding

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2d48ee57-1afb-4576-8c38-8e3b581674f1 · outbound

This paper cites An image is worth 16x16 words: Transform- ers for image recognition at scale.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning An image is worth 16x16 words: Transform- ers for image recognition at scale

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cf75ba91-654d-4df9-9bc5-12b1f7383e9d · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning An image is worth 16x16 words: Transformers for image recognition at scale

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:16:45.960191Z digest=sha256:55ef1da12acc529053f01048ac19741d67e60644feb1dd4adbc16f447a69c2bf

Observation 44ded61b-82e8-4085-b999-4c594eb41ac2 · outbound

This paper cites Multi-source fully test-time adaptation.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Multi-source fully test-time adaptation

Reference 8

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f2ee4572-be89-43de-bd0a-e6ef14527998 · outbound

This paper cites Adaptive token sampling for efficient vision transformers.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Adaptive token sampling for efficient vision transformers

Reference 9

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1ea5eb90-2d0a-4496-9df9-885aab2b410a · outbound

This paper cites Fine-grained car detection for visual census estimation.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Fine-grained car detection for visual census estimation

Reference 10

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 19b74a4b-0217-4a4b-93b8-c0a4dfc48c24 · outbound

This paper cites Parameter-efficient transfer learning for nlp.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Parameter-efficient transfer learning for nlp

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation eebee554-47d3-445f-a620-7a6468a89b20 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Lora: Low-rank adaptation of large language models

Reference 12

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2ec1eaa4-0fab-4906-9d2b-c48ce62595d2 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Lora: Low-rank adaptation of large language models

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a94a4c7a-5b35-4253-b4a0-23d492db36cf · outbound

This paper cites Visual prompt tuning.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Visual prompt tuning

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e4a32bfb-923c-4f01-8c37-34d517e8bca8 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Adam: A Method for Stochastic Optimization

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c03728c0-94a8-469c-b97f-26047a4efed1 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Overcoming catastrophic forgetting in neural networks

Reference 16

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raw_fallback, observed 2026-08-06T11:16:52.491353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:16:46.797794Z digest=sha256:12550c298c20e0f34bc488f10eefb057a1292f4fc320e48129b97abfbfb4accc

Observation 6ec52827-938e-414c-8188-fe3a4627c8cc · outbound

This paper cites Scaling & shifting your features: A new baseline for efficient model tuning.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Scaling & shifting your features: A new baseline for efficient model tuning

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:16:46.892056Z digest=sha256:09e398dcf43dde4edd211e41c0b9a098177f0369d54ecc2f096ed7faf9338df0

Observation 1598cd15-9132-4a94-85fc-fa9d84f611fd · outbound

This paper cites Sparse-tuning: Adapting vision transformers with efficient fine-tuning and in- ference.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Sparse-tuning: Adapting vision transformers with efficient fine-tuning and in- ference

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6239c66e-004b-415f-8699-a8deb8c5eba7 · outbound

This paper cites M2ist: Multi-modal interactive side-tuning for efficient refer- ring expression comprehension.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning M2ist: Multi-modal interactive side-tuning for efficient refer- ring expression comprehension

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2ccff644-fb7d-48e8-aec7-3356a2636bdd · outbound

This paper cites Enhancing test time adaptation with few-shot guidance.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Enhancing test time adaptation with few-shot guidance

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:16:47.154725Z digest=sha256:d4454a8ae36c44042fa6da13b5324d5344e49b5ffc5a1a2ac3b73fbd7f6c8fd9

Observation 8abae3b0-22e6-4413-94b7-e5d8d791e834 · outbound

This paper cites Automated flower classification over a large number of classes.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Automated flower classification over a large number of classes

Reference 21

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1966662c-d4e3-4a5f-93cb-827b34ef937d · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 22

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Observation 56651efd-6ea1-4bf7-a4fe-9c464d628c22 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Pytorch: An imperative style, high-performance deep learning library

Reference 23

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d93debd2-cb42-4fd0-ab34-ffb375b7d3ed · outbound

This paper cites Lumina-Image 2.0: A Unified and Efficient Image Generative Framework.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 24

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Observation e5ee2587-5871-4b78-adac-1ccb8349b103 · outbound

This paper cites Dynamicvit: Efficient vision trans- formers with dynamic token sparsification.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Dynamicvit: Efficient vision trans- formers with dynamic token sparsification

Reference 25

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:16:47.593921Z digest=sha256:5395e45ba1ae9cf3a434d759e4f70e9603043f39a2d103f9677038a58de12c6a

Observation 9ff8359e-4724-4d7c-9485-2e6cc0937141 · outbound

This paper cites Imagenet-21k pretraining for the masses.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Imagenet-21k pretraining for the masses

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0c082028-fa24-4b2d-b16b-dc3686f69dcc · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning LLaMA: Open and Efficient Foundation Language Models

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7556b6c8-9108-401f-b825-45c66e8c8485 · outbound

This paper cites Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation db971cc4-780a-4541-8bc9-6a05f02e7edd · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning The caltech-ucsd birds-200-2011 dataset

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b3afed79-a7b9-4cfd-98a2-e7b1970d64b2 · outbound

This paper cites Zero- tprune: Zero-shot token pruning through leveraging of the at- tention graph in pre-trained transformers.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Zero- tprune: Zero-shot token pruning through leveraging of the at- tention graph in pre-trained transformers

Reference 30

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raw_fallback, observed 2026-08-06T11:16:50.896099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:16:48.095080Z digest=sha256:846543520c4c9e7a68088b6c388c2c8930610352036a1a796b5b159985052af4

Observation d14da0e4-fdac-48e8-8f46-e256c01bbc18 · outbound

This paper cites Vmt-adapter: Parameter-efficient transfer learning for multi- task dense scene understanding.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Vmt-adapter: Parameter-efficient transfer learning for multi- task dense scene understanding

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:16:48.234749Z digest=sha256:92b4cdf802956af8b0fb15dd54148e67fbd849f1633698aab237766d9e9fb116

Observation d6723c60-d866-430a-a989-d05139a760b1 · outbound

This paper cites Mmap : Multi-modal alignment prompt for cross- domain multi-task learning.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Mmap : Multi-modal alignment prompt for cross- domain multi-task learning

Reference 32

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raw_fallback, observed 2026-08-06T11:16:50.492664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:16:48.389952Z digest=sha256:a85186d074b9076011c1cf2b4ee1152158e7432e7c1eed5b8d21919a7576025b

Observation 34bbefcd-4a63-4969-8cf3-7db1018adc93 · outbound

This paper cites V-petl bench: A unified visual parameter- efficient transfer learning benchmark.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning V-petl bench: A unified visual parameter- efficient transfer learning benchmark

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:16:48.502917Z digest=sha256:efbe4a1fa6e2a142d581ad29ec31b88882677d3b520f44cec4eec755d6d5e390

Observation 9542f97e-2d8d-4fe4-83a6-0fe8b4fd5907 · outbound

This paper cites Parameter-efficient fine- tuning for pre-trained vision models: A survey.arXiv preprint arXiv:2402.02242, 2024.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Parameter-efficient fine- tuning for pre-trained vision models: A survey.arXiv preprint arXiv:2402.02242, 2024

Reference 34

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no resolver link, observed 2026-08-06T11:16:48.612979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:16:48.612979Z digest=sha256:ed1e18a9c27100aa20442831d4cd7718766c49940a4a4adf1fb213c8f4f78e49

Observation a1ebda91-8698-4afc-8d1a-e0a73ef19bff · outbound

This paper cites Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T11:16:48.721916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:16:48.721916Z digest=sha256:7f5729f75df77705744ce33aa5e90ca5e588d11703f32b876bc1e54304dcc5eb

Observation 37a33568-db4a-41f4-bc84-139b0628308f · outbound

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

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:50.097485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:16:48.824278Z digest=sha256:8482bcb8a5b2d7a024f19863537cde4ac41b4aa52339797310b8bfdf188aed64

Observation 5513c299-0d04-4efe-be09-6f1b5f36c924 · outbound

This paper cites A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T11:16:48.917817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:16:48.917817Z digest=sha256:a83652adc997991b6712814c110b463f91e8682bb7181e55c4a9cfea1aa1faac

Observation 77d6185e-ab11-41a9-b128-90824409d423 · outbound

This paper cites Neural prompt search.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Neural prompt search

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:49.907872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:16:49.000593Z digest=sha256:bb3b5449c042696030aa01dbd42eddc0b01cf73f335d1c397cd648c91b1c6ea9

Observation c058a893-0638-4667-b662-75667473003c · outbound

This paper cites Gradient-based parameter selection for efficient fine-tuning.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Gradient-based parameter selection for efficient fine-tuning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:49.714294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:16:49.110148Z digest=sha256:0e1e4bb291b5d62bfee9fbfd52f194d2413699508f370a7d085ea4caaf02389f

Pith citing papers

No inbound Pith citation observations are available.