Pith. sign in

Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:54.989226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:45.379750Z digest=sha256:3c3b27ba845eedd3fed76704a06741e2039e59f90e1bc9cf81627609cab6e73a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:54.702803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:45.459160Z digest=sha256:ff73233fe14252be678d880fb8f296d2c37e0955b80eb03d127460b1b10260ee

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:54.398025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:45.584266Z digest=sha256:cb37f726bc7dcb98c73557ba4def5ed8217f0227ae334a894e2f2754f7b473da

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:54.251108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:45.703890Z digest=sha256:208953b81d2f46445b7e6345b197ec44b846baccb0d83f9972480a5eb035834e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:54.127288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:45.773081Z digest=sha256:1744d7f98995fdd4d92a6d18dacc6ebd5368fb55c6d4c5052de50626cbaf3ee9

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:53.953044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:45.832613Z digest=sha256:bc2ef1d4ebee0cfded29edcaf75f6cfc54aa1aef2ad2dd3b8e997b0cd51c8dd9

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:53.812960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:45.960191Z digest=sha256:b24417d4a41bb03e82c1e770f0980964249f81ba37dba85313ecca987a681144

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:53.665505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:46.059821Z digest=sha256:aa0bca70fe08eb9ce921d6947e6db3f3e9417d7435a0d723f092bb7b870e36d4

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:53.496691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:46.161861Z digest=sha256:9cb90a38728069e8271bbb83a0e5deff58bfa4ca62a6771bfa0c85aaf6a767d6

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:53.343221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:46.251011Z digest=sha256:ae9fa4f861924ed47fb725983379f9f687bcaaf6521df0f424ef3ffa6c5024ee

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:53.165912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:46.344334Z digest=sha256:274c9ab0e77bfb4452b80166f9edd90abfbb0f8db491fac89c6e325bc1992b85

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:52.994077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:46.446284Z digest=sha256:eaa9af8bdf275203c9fae84d38cfaebcce348ec1021a0b38af08e3efee9b152d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:52.845603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:46.570977Z digest=sha256:a9096affb6bcf720acb294f6ccd9791123f1b2c1bda3bd35fc5a386b1db0c6ea

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:52.692387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:46.641368Z digest=sha256:233d3b4e8bdc8aa1499e5c33cb521ea05caf6bddc555a791095921c9ef4dc17a

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

Resolution
unresolved
no resolver link, observed 2026-08-06T11:16:46.713025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:16:46.713025Z digest=sha256:7fad83d0d3f38c043a12346212e42fda2dcdf56f777d4039ac4297040de3d219

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:46.797794Z digest=sha256:ed964c8b04799d5aa1ece992e7eeb4fdaacf20102a79f4da2964a286767d9efd

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:52.342135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:46.892056Z digest=sha256:bc2f6c0e9471ee5902e3d8566ca1f2966bff459b897a55684b9351d62f3ed023

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

Resolution
unresolved
no resolver link, observed 2026-08-06T11:16:46.951431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:16:46.951431Z digest=sha256:636777ed035f46a35eaf149c42bac883470717cadcd41b3286c3092b265b0fc9

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:52.158520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:47.048629Z digest=sha256:fdf8acd5da0dc6ba91bf065ac7890ba9595f64079a42d80f10726d562c3cebd2

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

Resolution
verified exact
raw_fallback, observed 2026-08-06T11:16:49.524639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:47.154725Z digest=sha256:3f65f97628cd2e58ccd7c756176b3fd69c06155ebb93c90deacae5d2ddb7e4ba

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:51.977284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:47.230118Z digest=sha256:a75303bc46b5700d0a754978575a7c49e5c0a431b6f96dd7989de1bbb6ea9bdd

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

Resolution
unresolved
no resolver link, observed 2026-08-06T11:16:47.292845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:16:47.292845Z digest=sha256:3769e9ef579599c2f2b7b0b20a755fb8c0e07a9e8fbce4282ed45b7e8d37d4e2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:51.786830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:47.380268Z digest=sha256:8f71eeaf97c55530a2e3c8fc602be08ac4b8657a2866b972fb6fb18c10ea2077

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

Resolution
unresolved
no resolver link, observed 2026-08-06T11:16:47.490687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:16:47.490687Z digest=sha256:21d4960723833a50c926d51f0e90470f8788a0e69ad934242ba6457c4254c34a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:51.591637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:47.593921Z digest=sha256:993630cdaf1af8939e0b4ce2d7ef3979086783df9ad3ee8a89df88d72037faad

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:51.441344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:47.692213Z digest=sha256:6a438b19fedf67924ea3d9b1a2001136f7712660aa813c971ff9b1fd3af6b3d2

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

Resolution
unresolved
no resolver link, observed 2026-08-06T11:16:47.799461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:16:47.799461Z digest=sha256:275ab55f4be4e56367ed33d6d04ed64901925407de1e95a7152bb05dd1bcd2a0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:51.276977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:47.873483Z digest=sha256:4c74969e8da6fb74855b97bf55f6f75535489af6aabc9b1ee36d9a69bf293578

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:51.079964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:47.979170Z digest=sha256:a23b13e1b22615cc1744598bf27cec4755a072973ace15a997e5a6bc14c771bf

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:48.095080Z digest=sha256:d4ab432c633a03d9818db14952e16bbfae9e4183e6e0336b197f8fff4f4874f5

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:50.666702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:48.234749Z digest=sha256:559c6791d58c9ce2d0067512f93e58da946c2656bbe19c1a943c7e80b439579a

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:48.389952Z digest=sha256:58b6e855dd4b218fd99d7bebc0e4698d68afeb36ee228141f3e32e843683c999

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:16:50.329112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:48.502917Z digest=sha256:94639515efa0aa2c00b87d3d78b073fc74077240422942d775812e9f409e3818

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

Resolution
unresolved
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=sha256:7bc2489453525841ab928444e389b86aba217a580bec56383e9fe57c3cd2e3fd

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=sha256:0e2d9b31eddd454cd164065aa56477b280fe8174fb3212d50d75f6fb5f07c385

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:48.824278Z digest=sha256:f32a1cd70f6dbcb0b9eec54b25b8a21da5f0d25a2876b7066f4b4713903fe429

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=sha256:9809b4b86934218c5732a1fe01efe5d2aca49ffcaf677fbb8d277b65c188ad64

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:49.000593Z digest=sha256:70898c76767be78bd501370f2da4ee79511726e00aaca44a1a7ee1e9e8d9ccf9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:16:49.110148Z digest=sha256:f073f0528f30bdfac20e38ae22dac28fc6b16ee0460f96e5ba17dbb2b8bdc164

Pith citing papers

No inbound Pith citation observations are available.