Paper Citation Record · LEDGER

Adapting Vision Foundation Models with Cascaded Semantics

As of 15 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2608.05393.

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

pith.paper-citation-record.v1
2608.05393 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:03:48.913339Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy13
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 007d7ace-e45c-4b6e-9618-0a166ce39465 · outbound

This paper cites primitive.

Adapting Vision Foundation Models with Cascaded Semantics primitive

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:03:49.342326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6886c918-f025-4bca-be45-9a8b6866294a · outbound

This paper cites an unresolved cited work.

Adapting Vision Foundation Models with Cascaded Semantics Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-08T14:03:49.333093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a764c40d-b392-4f25-a717-ccb78d0af3b0 · outbound

This paper cites primitive.

Adapting Vision Foundation Models with Cascaded Semantics primitive

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:03:49.324270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fba6afec-f057-4d1f-a089-a0f1e2f49260 · outbound

This paper cites Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations.

Adapting Vision Foundation Models with Cascaded Semantics Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T14:03:48.840262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11093d44-0022-4b97-b171-99cb1296bf25 · outbound

This paper cites CDMask: Change customized mask architecture for change detection.IEEE Transactions on Geoscience and Remote Sensing, 64:5619919, 2026.

Adapting Vision Foundation Models with Cascaded Semantics CDMask: Change customized mask architecture for change detection.IEEE Transactions on Geoscience and Remote Sensing, 64:5619919, 2026

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T14:03:48.848201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d09e578-76df-4764-ae29-2f035efb64e3 · outbound

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

Adapting Vision Foundation Models with Cascaded Semantics The caltech-ucsd birds-200-2011 dataset

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T14:03:48.861936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76517eef-6970-4d1a-ad27-f0ab7844e8e2 · outbound

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

Adapting Vision Foundation Models with Cascaded Semantics A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T14:03:48.865549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cb30ac1-91fe-49ba-88ff-70b4644f0f15 · outbound

This paper cites Color is one of the most expressive and invariant visual cues, robust to rotation and scaling (Swain & Ballard, 1991).

Adapting Vision Foundation Models with Cascaded Semantics Color is one of the most expressive and invariant visual cues, robust to rotation and scaling (Swain & Ballard, 1991)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:03:49.315792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 906e8e4e-50c5-4599-9ff3-85ca30dd78b2 · outbound

This paper cites Texture analysis is crucial for distinguishing materials and repetitive patterns.

Adapting Vision Foundation Models with Cascaded Semantics Texture analysis is crucial for distinguishing materials and repetitive patterns

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:03:49.307572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 02e4a158-934d-4833-a596-e1f4af590d62 · outbound

This paper cites texture bias.

Adapting Vision Foundation Models with Cascaded Semantics texture bias

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:03:49.299115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 64cb2192-2eff-4fd7-91db-715ac718e3c8 · outbound

This paper cites Removing any single component results in an information void that the randomized prompts alone may struggle to fill (as evidenced in Table 5 of the main text).

Adapting Vision Foundation Models with Cascaded Semantics Removing any single component results in an information void that the randomized prompts alone may struggle to fill (as evidenced in Table 5 of the main text)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:03:49.290973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b6fee4ce-012f-4d93-a62c-8887ecabe748 · outbound

This paper cites hard prompt.

Adapting Vision Foundation Models with Cascaded Semantics hard prompt

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:03:49.281863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ee8168ba-786b-4cfd-9ef0-e7a2113c30b7 · outbound

This paper cites an unresolved cited work.

Adapting Vision Foundation Models with Cascaded Semantics Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-08T14:03:49.264340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 46fa6309-44f8-469f-b353-462e7e67888a · outbound

This paper cites per-task grid.

Adapting Vision Foundation Models with Cascaded Semantics per-task grid

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:03:49.255245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 674cab15-a029-47d1-9f36-7a2be730eb38 · outbound

This paper cites The HSV color histogram and Gabor texture priors give extra cues that the random-prompt baseline cannot recover.

Adapting Vision Foundation Models with Cascaded Semantics The HSV color histogram and Gabor texture priors give extra cues that the random-prompt baseline cannot recover

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:03:49.244811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b3f34a86-1fd5-4a69-8db2-82c76b09ad80 · outbound

This paper cites Extra Params.

Adapting Vision Foundation Models with Cascaded Semantics Extra Params

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:03:49.234229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fa21ca36-84d3-4523-b1a4-c5b275fabd29 · outbound

This paper cites an unresolved cited work.

Adapting Vision Foundation Models with Cascaded Semantics Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-08T14:03:49.224314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ca7f5b6d-27f3-4298-810f-ff45e08f9d3c · outbound

This paper cites an unresolved cited work.

Adapting Vision Foundation Models with Cascaded Semantics Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-08T14:03:49.214612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7b2f8bff-73a5-4b5e-9514-1b3bcb4d976d · outbound

This paper cites Spending it on re-learning a Sobel filter is wasteful when the fixed Sobel filter already does the job at zero parameter cost.

Adapting Vision Foundation Models with Cascaded Semantics Spending it on re-learning a Sobel filter is wasteful when the fixed Sobel filter already does the job at zero parameter cost

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:03:49.204511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 18e1bb6d-bcc8-4740-8b0f-200e21517132 · outbound

This paper cites Indexing via color histograms.

Adapting Vision Foundation Models with Cascaded Semantics Indexing via color histograms

Reference 1991

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:03:49.351160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation da502af1-ccef-491e-8d8d-fbf5271bbdf8 · outbound

This paper cites Language Models as Knowledge Bases?.

Adapting Vision Foundation Models with Cascaded Semantics Language Models as Knowledge Bases?

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-08T14:03:48.851792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9f648b5-975d-4a81-94aa-f6b7cef06fc0 · outbound

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

Adapting Vision Foundation Models with Cascaded Semantics An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-08T14:03:48.833277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e26df252-12cd-4732-a043-8c423901b5b2 · outbound

This paper cites E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning.

Adapting Vision Foundation Models with Cascaded Semantics E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-08T14:03:48.836848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94e04169-a0ff-4f22-8254-4b1eb7559968 · outbound

This paper cites 11 Naftali Tishby and Noga Zaslavsky.

Adapting Vision Foundation Models with Cascaded Semantics 11 Naftali Tishby and Noga Zaslavsky

Reference 2018

Resolution: metadata mismatch; raw_fallback, observed 2026-08-08T14:03:49.077833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 66c9ef1f-a4e2-491c-86d4-92d7ff86c8c6 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

Adapting Vision Foundation Models with Cascaded Semantics Improved Baselines with Momentum Contrastive Learning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T14:03:48.828977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86ae137f-1b89-41a8-b2d2-19b9b8f58b08 · outbound

This paper cites Fundamental Image Priors.

Adapting Vision Foundation Models with Cascaded Semantics Fundamental Image Priors

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:03:49.273014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 203f00fd-6a73-42d4-9e18-a91c5e555b08 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Adapting Vision Foundation Models with Cascaded Semantics Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T14:03:48.844354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.