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Paper Citation Record · LEDGER

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition

As of 24 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2501.00243.

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

pith.paper-citation-record.v1
2501.00243 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:58:30.392727Z

measured 32 of 32 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

32 of 32 outbound references displayed

  • verified exact1
  • verified fuzzy24
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2d24d45b-3a27-41dc-aac6-46bdf4cc686a · outbound

This paper cites Fine-Grained Image Analysis with Deep Learning: A Survey,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Fine-Grained Image Analysis with Deep Learning: A Survey,

Reference 1

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Source-reported events for the cited work

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

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Observation 294a2ddd-381e-43b3-813c-75247f56b505 · outbound

This paper cites Benchmark Platform for Ultra-Fine-Grained Visual Categorization Beyond Human Perfor- mance,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Benchmark Platform for Ultra-Fine-Grained Visual Categorization Beyond Human Perfor- mance,

Reference 2

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raw_fallback, observed 2026-08-10T22:58:31.919057Z

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.

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Observation 5882f9e3-b464-4db1-82a5-c9433ef38b00 · outbound

This paper cites The Image Data and Backbone in Weakly Supervised Fine-Grained Visual Categoriza- tion: A Revisit and Further Thinking,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition The Image Data and Backbone in Weakly Supervised Fine-Grained Visual Categoriza- tion: A Revisit and Further Thinking,

Reference 3

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

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Observation 373ccfd6-2c37-4037-8ac3-73eccf67c7b3 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 4

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unresolved
no resolver link, observed 2026-08-10T22:58:29.752129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:58:29.752129Z digest=sha256:b4c517db8971caed0a826f182ffe71b2765a1a16ee2b9fdee8e9d84f1c7142f8

Observation 4b341ac1-497b-4d61-b600-3f62a5496728 · outbound

This paper cites TransFG: A Transformer Architecture for Fine-Grained Recognition,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition TransFG: A Transformer Architecture for Fine-Grained Recognition,

Reference 5

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raw_fallback, observed 2026-08-10T22:58:31.836250Z

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.

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Observation 102a6b76-9d12-4497-90bf-ab06d79ae1ce · outbound

This paper cites Feature Fusion Vision Transformer for Fine-Grained Visual Categorization.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Feature Fusion Vision Transformer for Fine-Grained Visual Categorization

Reference 6

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local_arxiv, observed 2026-08-10T22:58:30.567875Z

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.

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Observation b6cda2e1-20ac-45f0-9b9e-8a3373daed1c · outbound

This paper cites Quantifying Attention Flow in Transformers.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Quantifying Attention Flow in Transformers

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:58:29.821088Z digest=sha256:651eff7307fc8564ab3926ee707d9b42fe0c1ab40896ca1854a26d8fdeee1cfb

Observation e3c73ed4-5e80-4a94-99e2-87537c881907 · outbound

This paper cites Efficient Fine- Grained Object Recognition in High-Resolution Remote Sensing Images From Knowledge Distillation to Filter Grafting,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Efficient Fine- Grained Object Recognition in High-Resolution Remote Sensing Images From Knowledge Distillation to Filter Grafting,

Reference 8

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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.

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Observation b0aa068e-a423-48ab-a05c-5081e4334a59 · outbound

This paper cites Fine- Grained Ship Detection in High-Resolution Satellite Images With Shape- Aware Feature Learning,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Fine- Grained Ship Detection in High-Resolution Satellite Images With Shape- Aware Feature Learning,

Reference 9

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

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Observation 13bf8432-5d1d-4140-ad45-a9f07fcb8930 · outbound

This paper cites DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification,

Reference 10

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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.

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Observation 6e3787d5-9542-431b-a4c7-077c11b09f77 · outbound

This paper cites Adaptive Token Sampling For Efficient Vision Transformers.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Adaptive Token Sampling For Efficient Vision Transformers

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:58:29.838599Z digest=sha256:5d757e6e2e2156200541fc51acd6971699ea31a0180602a45106ad230ca86f63

Observation e154e3af-75d3-4c8d-8666-840f1a9efd05 · outbound

This paper cites Learning to Merge Tokens in Vision Transformers.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Learning to Merge Tokens in Vision Transformers

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:58:29.860345Z digest=sha256:b86b5592bd9ee6f9accc045a15724a649912f0ab1c28c06120e4b9b6f42be928

Observation dc181bac-c3fb-485d-a2e5-f4cb624f70fd · outbound

This paper cites Token Merging: Your ViT But Faster.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Token Merging: Your ViT But Faster

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:58:29.900662Z digest=sha256:d91211cf64bf9361e886899a05021f42c014390dee675420bd7c7bbbe4df9177

Observation 5f71677b-713f-4fb1-8de2-5202de986aa3 · outbound

This paper cites Patch Slimming for Efficient Vision Transformers,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Patch Slimming for Efficient Vision Transformers,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:58:31.716716Z

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.

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Observation e93142a7-2d48-47ff-ab46-8c7f7ba1091d · outbound

This paper cites EViT: Expediting Vision Transformers via Token Reorganizations,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition EViT: Expediting Vision Transformers via Token Reorganizations,

Reference 15

Resolution
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raw_fallback, observed 2026-08-10T22:58:31.690957Z

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

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Observation 27c368ee-1798-48d0-ac9e-8456dfe66166 · outbound

This paper cites Self- slimmed Vision Transformer,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Self- slimmed Vision Transformer,

Reference 16

Resolution
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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.

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Observation 17f86b3a-76d2-4037-b76c-db77ada7f836 · outbound

This paper cites DeiT III: Revenge of the ViT.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition DeiT III: Revenge of the ViT

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 34fe6597-cd90-409d-9498-34b8e2f6e703 · outbound

This paper cites Learning Contrastive Self- Distillation for Ultra-Fine-Grained Visual Categorization Targeting Lim- ited Samples,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Learning Contrastive Self- Distillation for Ultra-Fine-Grained Visual Categorization Targeting Lim- ited Samples,

Reference 18

Resolution
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raw_fallback, observed 2026-08-10T22:58:31.480991Z

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=2026-08-10T22:58:30.116000Z digest=sha256:95f58476cfed12e485b4092be06398cab949db996dbd09b2111103789f428595

Observation 0967f74e-855c-4f54-82ec-9a6db93633e5 · outbound

This paper cites Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer,

Reference 19

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raw_fallback, observed 2026-08-10T22:58:31.466794Z

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.

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Observation 1d3e80a2-8ee5-497e-83da-2c81ac9749ce · outbound

This paper cites Vision Transformers Need Registers,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Vision Transformers Need Registers,

Reference 20

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Source-reported events for the cited work

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

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Observation 4c94fc79-9e2e-4946-818b-58ed0d6af82e · outbound

This paper cites SIM-Trans: Structure Information Model- ing Transformer for Fine-grained Visual Categorization,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition SIM-Trans: Structure Information Model- ing Transformer for Fine-grained Visual Categorization,

Reference 21

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

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Observation 25c132fe-7418-4c7b-9411-f8c22be2c43c · outbound

This paper cites Fair Compar- ison: Quantifying Variance in Results for Fine-Grained Visual Catego- rization,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Fair Compar- ison: Quantifying Variance in Results for Fine-Grained Visual Catego- rization,

Reference 22

Resolution
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raw_fallback, observed 2026-08-10T22:58:31.121505Z

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.

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Observation 1746af05-c3ca-4bba-957a-89c48a4bd120 · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Training data-efficient image transformers & distillation through attention

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f0a4be45-84cb-48bd-ac4b-05f5080bd0cd · outbound

This paper cites ImageNet-21K Pretraining for the Masses,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition ImageNet-21K Pretraining for the Masses,

Reference 24

Resolution
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raw_fallback, observed 2026-08-10T22:58:31.108925Z

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.

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Observation 5efae1b1-9be7-4e1b-9f0c-bf8fd61c80d3 · outbound

This paper cites An Empirical Study of Training Self- Supervised Vision Transformers,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition An Empirical Study of Training Self- Supervised Vision Transformers,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:58:31.096305Z

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.

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Observation 955ce318-1329-4ef7-930b-1ec577e2f1b7 · outbound

This paper cites Emerging Properties in Self-Supervised Vision Transform- ers,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Emerging Properties in Self-Supervised Vision Transform- ers,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-10T22:58:31.079186Z

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.

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Observation 4d6cb5c3-4c14-480b-8f8d-e788c17c6357 · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Masked Autoencoders Are Scalable Vision Learners,

Reference 27

Resolution
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raw_fallback, observed 2026-08-10T22:58:31.011954Z

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=2026-08-10T22:58:30.154310Z digest=sha256:447c890e22e8aa108831666ff177cc65f5507ebfaab1761493c9d3ce1437bd9e

Observation 5cc8218c-4f72-4993-93a2-843465c9b49b · outbound

This paper cites LAION-5B: An open large-scale dataset for training next generation image-text models,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition LAION-5B: An open large-scale dataset for training next generation image-text models,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-10T22:58:30.866092Z

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=2026-08-10T22:58:30.164120Z digest=sha256:c9e9d0ec35ad11d7e1837e709e0e5ee8f3caea5b50a8001982fa5566a19ecf6a

Observation 7673bce8-5fb8-44e7-901c-8e9b469cde4b · outbound

This paper cites Visualizing the Loss Landscape of Neural Nets,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Visualizing the Loss Landscape of Neural Nets,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-10T22:58:30.839889Z

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=2026-08-10T22:58:30.211819Z digest=sha256:acaca96f9cbade05f2f19f5be597e08358517090778412a546bf04c1a7215be7

Observation 8a4fb0f7-b5a9-4430-bb49-2625c911b7f6 · outbound

This paper cites Towards Understanding the Importance of Shortcut Connections in Residual Networks,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Towards Understanding the Importance of Shortcut Connections in Residual Networks,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-10T22:58:30.826136Z

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=2026-08-10T22:58:30.279925Z digest=sha256:e075e85e006c8c87ddf1b3dca0557390595aa084037f4d20ff47b72fb49b270a

Observation a1fb2017-b582-456b-8f39-acf4dacc8527 · outbound

This paper cites Densely Connected Convolutional Networks,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Densely Connected Convolutional Networks,

Reference 31

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raw_fallback, observed 2026-08-10T22:58:30.800511Z

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=2026-08-10T22:58:30.335783Z digest=sha256:23d8dec8d86687844cadced9694b2e03434129099b52606258a949cb1639ab21

Observation 0229c007-1735-4292-b192-1e4406e18854 · outbound

This paper cites Residual networks behave like ensembles of relatively shallow networks,.

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition Residual networks behave like ensembles of relatively shallow networks,

Reference 32

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raw_fallback, observed 2026-08-10T22:58:30.726293Z

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=2026-08-10T22:58:30.392727Z digest=sha256:8d6778b1f8868f32e71b50a4081dbca2205bf6733b1177c6eeacce143c783b50

Pith citing papers

No inbound Pith citation observations are available.