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Paper Citation Record · LEDGER

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

As of 11 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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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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raw_fallback, observed 2026-08-10T22:58:31.909365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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=sha256:4c2dd938a44691921af7ec70287724f3ec9988df826f8544f9504a76798d9710

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:58:29.811454Z digest=sha256:28ce60ab59d2983e02da931da35aef57eb30d5180b8e3e836095fc023eccbf94

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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verified exact
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:58:29.816111Z digest=sha256:f181b9fc475d711068f1cc0b2f5a19d9e76440ef6edc7ea6eb41acbd04ad07a3

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:f7bb6f6e8ffa62a7e0946231fbca1fb567f0750de8a448a4d231ab78785e00a1

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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raw_fallback, observed 2026-08-10T22:58:31.752834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:58:29.825035Z digest=sha256:fe3be940f299bdcfa425748463b77e44f9e07e255fb50aff51051024682828e6

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:58:29.834382Z digest=sha256:2380858f5921d2e36e0c638760a79d8beb010763dbf4a949ebd8342a243e1f1a

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=sha256:3a150208f3a9d4dc6f393d30fa7ac941fac9a97eeddd3dc691caf7880b34a157

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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no resolver link, observed 2026-08-10T22:58:29.860345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:58:29.860345Z digest=sha256:dda4f26520a23de624018bbb85c32ad07c88ebfdb1c1add5dc3836543022668a

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=sha256:94590bbfd7b4e4b9b8bd19c248192332311e5042dc80665b2d8c5ad55c0df260

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 2026-08-11T06:34:44.6726+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
verified fuzzy
raw_fallback, observed 2026-08-10T22:58:31.690957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:58:30.013072Z digest=sha256:d77c622c11185cfe9b396319a4fea7b4a4f5c21d8af0ef8ac72b2310b5ef4d6e

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

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raw_fallback, observed 2026-08-10T22:58:31.527345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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
verified fuzzy
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:58:30.116000Z digest=sha256:7beba65e0c6a0a27c246a9214e814926feba10ad6df9303fa92b88ba741a73c1

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 2026-08-11T06:34:44.6726+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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raw_fallback, observed 2026-08-10T22:58:31.292593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:58:30.124007Z digest=sha256:781160c55fc09327657523c4c5e5b31938d7c73236d91d04cfad1788cab1baf5

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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

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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 2026-08-11T06:34:44.6726+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.

source=pdf_text observed=2026-08-10T22:58:30.137033Z digest=sha256:4b918e6dc8222097c93e1c6f39d25f3f9606910672c5a1547aae356353a54bde

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:58:30.141659Z digest=sha256:effeaaecbf511311af595b3ff83367d2d979d8ecb2734d54ff9d528a96fa9ee2

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:58:30.146102Z digest=sha256:00b22e3e6fe1b4fb66474d228601a332fdea0f6ed97da837002e54c8f43da46c

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

Resolution
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:58:30.150171Z digest=sha256:fa4fa15fcb2163ea8517a8fbf7796d79cc5641f321925afd32223a6d6b162b9b

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
verified fuzzy
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:58:30.154310Z digest=sha256:22e4175e2eb6699b0f81108d6a561b55f67c7d738e02fb5d4dc905e9ee7c2398

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

Resolution
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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:58:30.164120Z digest=sha256:82c8e6c928cc2fb76d7154325756783d6f6393a045f039d1a88764420b9e6417

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

Resolution
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:58:30.211819Z digest=sha256:f64fd27e173cc1b9ba1a52663de96ce9631528dd7c2db0d12d78a8935afa1b3a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:58:30.279925Z digest=sha256:8f4521eab922e8a4018848eb2342eba95dae0d4c171ae928537b6c3dac8423da

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:58:30.335783Z digest=sha256:f1e73c2692261dab9a78a78c8021908e85501fa336545d04da5d0fc7679fb3db

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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verified fuzzy
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:58:30.392727Z digest=sha256:2a2105a902205c7454002d5de0227bb8217a459f87002fd6634ae9e6d17835e0

Pith citing papers

No inbound Pith citation observations are available.