Paper Citation Record · LEDGER

Deep ViT Features as Dense Visual Descriptors

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2112.05814.

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

pith.paper-citation-record.v1
2112.05814 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:18:31.361765Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-09T16:56:21.644793Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation eed0412e-546b-46d5-9640-b6a614a8de4a · inbound

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation cites this paper.

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation Deep ViT Features as Dense Visual Descriptors

Reference 119

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:25:18.019787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 41863813-330f-4116-8225-29db3a6c550b · inbound

From One-to-One to Many-to-Many: Dynamic Cross-Layer Injection for Deep Vision-Language Fusion cites this paper.

From One-to-One to Many-to-Many: Dynamic Cross-Layer Injection for Deep Vision-Language Fusion Deep ViT Features as Dense Visual Descriptors

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T10:18:31.361765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9fc5d41-16d8-4161-9084-f14b8de71451 · inbound

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders cites this paper.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Deep ViT Features as Dense Visual Descriptors

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:39.247257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 504b71b5-f443-4e31-8795-55a7245c90a3 · inbound

Uncertainty-Aware Hierarchical Re-Localization in OpenStreetMap via Semantic Alignment cites this paper.

Uncertainty-Aware Hierarchical Re-Localization in OpenStreetMap via Semantic Alignment Deep ViT Features as Dense Visual Descriptors

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T19:36:19.815385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e772a24d-ec4d-4ec9-ad39-298326d703c3 · inbound

Autonomous Search for Sparsely Distributed Visual Phenomena through Environmental Context Modeling cites this paper.

Autonomous Search for Sparsely Distributed Visual Phenomena through Environmental Context Modeling Deep ViT Features as Dense Visual Descriptors

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T23:50:28.153875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55c0e98a-11cd-4bf4-a8cb-76e93dbdadad · inbound

Human-like Object Grouping in Self-supervised Vision Transformers cites this paper.

Human-like Object Grouping in Self-supervised Vision Transformers Deep ViT Features as Dense Visual Descriptors

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T21:34:48.709465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47c61a5c-b9c4-4ad8-aa62-0627a4ec43a3 · inbound

Zero-Shot DINOv3-Based Image Matching via Many-to-Many Association cites this paper.

Zero-Shot DINOv3-Based Image Matching via Many-to-Many Association Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:11:18.694655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6f2a9136-6242-4406-bfe5-c6a25c9ca3aa · inbound

Zero-Shot DINOv3-Based Image Matching via Many-to-Many Association cites this paper.

Zero-Shot DINOv3-Based Image Matching via Many-to-Many Association Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T15:38:37.458871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cacdf124-b7f6-4fba-9c21-2eb8edd60cc4 · inbound

VISION-SLS: Safe Perception-Based Control from Learned Visual Representations via System Level Synthesis cites this paper.

VISION-SLS: Safe Perception-Based Control from Learned Visual Representations via System Level Synthesis Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:15.116378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ad55ea51-ba0c-4c6c-bd87-ec7b8156ce57 · inbound

Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization cites this paper.

Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:31:23.422461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b7de8118-5a6b-40b7-85bb-92db0592e9cb · inbound

Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization cites this paper.

Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:42:30.587769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d48c6675-3083-4b2d-b1f8-a3ccefc7e33e · inbound

Realiz3D: 3D Generation Made Photorealistic via Domain-Aware Learning cites this paper.

Realiz3D: 3D Generation Made Photorealistic via Domain-Aware Learning Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:39:50.413208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d17dd71a-628e-45d2-b230-6de38d4fbf5c · inbound

Registers Matter for Pixel-Space Diffusion Transformers cites this paper.

Registers Matter for Pixel-Space Diffusion Transformers Deep ViT Features as Dense Visual Descriptors

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:08:54.067427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bf6f00b2-ba86-4c10-9ad3-c6f2371e2a5a · inbound

PaintCopilot: Modeling Painting as Autonomous Artistic Continuation cites this paper.

PaintCopilot: Modeling Painting as Autonomous Artistic Continuation Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:29:39.311103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 096841c4-3df3-49ab-8bc2-a419b830d5d5 · inbound

Unsupervised Semantic Segmentation Facilitates Model Understanding cites this paper.

Unsupervised Semantic Segmentation Facilitates Model Understanding Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:43:15.483441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation add15937-84a7-4852-9cc9-527f88040d52 · inbound

Unsupervised Semantic Segmentation Facilitates Model Understanding cites this paper.

Unsupervised Semantic Segmentation Facilitates Model Understanding Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:39:16.375764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c113a4ef-3424-4e23-a27d-e7dcba2ae667 · inbound

Generate in Reconstruction Space, Match in Semantic Space: Transport Geometry for One-Step Generation cites this paper.

Generate in Reconstruction Space, Match in Semantic Space: Transport Geometry for One-Step Generation Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:02:34.265670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 118fa68b-0cd4-4127-9d9f-24d150490879 · inbound

TUDSR: Twice Upsampling-Diffusion for Higher Super-Resolution cites this paper.

TUDSR: Twice Upsampling-Diffusion for Higher Super-Resolution Deep ViT Features as Dense Visual Descriptors

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:07:29.960791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4ceaa6ae-6e87-4ac8-9c6c-1f5d751731d2 · inbound

Lightweight 3D Feature Pretraining by Bayesian Inversion of 2D Foundation Models cites this paper.

Lightweight 3D Feature Pretraining by Bayesian Inversion of 2D Foundation Models Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:09:37.349741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e1b14f28-cd12-4463-90f3-9075f0277409 · inbound

FROST: Training-Free Few-Shot Segmentation with Frozen Features and Nonparametric Statistics cites this paper.

FROST: Training-Free Few-Shot Segmentation with Frozen Features and Nonparametric Statistics Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:55:35.969649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9165e141-8c7a-492e-a41d-47bc12d63067 · inbound

Understanding Geometric Representations in Self-Supervised Vision Transformers via Subspace Intervention cites this paper.

Understanding Geometric Representations in Self-Supervised Vision Transformers via Subspace Intervention Deep ViT Features as Dense Visual Descriptors

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T15:38:33.115406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 723a8860-86c8-4b43-9c75-d173871c3f1c · inbound

Awakening Diffusion Transformers: Eliciting Stronger Generation and Understanding via Massive Activation Modulation cites this paper.

Awakening Diffusion Transformers: Eliciting Stronger Generation and Understanding via Massive Activation Modulation Deep ViT Features as Dense Visual Descriptors

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-12T05:46:45.293902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90ea3029-786c-4f02-8b36-6e451092037e · inbound

`Attention-Guided Cross-Temporal Clustering for Self-Supervised Video Object Segmentation cites this paper.

`Attention-Guided Cross-Temporal Clustering for Self-Supervised Video Object Segmentation Deep ViT Features as Dense Visual Descriptors

Reference 45

Resolution: malformed identifier; local_arxiv, observed 2026-07-09T16:56:21.645918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 97913c0c-7a46-4454-8f37-adad8f4aa698 · inbound

SeeSE3: Emergence of 3D Space in Vision Features cites this paper.

SeeSE3: Emergence of 3D Space in Vision Features Deep ViT Features as Dense Visual Descriptors

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:55.065331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08ffb6ba-dbcb-4766-86a0-56877d494a74 · inbound

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering cites this paper.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Deep ViT Features as Dense Visual Descriptors

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:36.322250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.