Paper Citation Record · LEDGER

Benchmarking Detection Transfer Learning with Vision Transformers

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2111.11429.

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

pith.paper-citation-record.v1
2111.11429 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:41:11.779207Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:28:32.127255Z

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 035853c0-aa10-45dc-8345-d22ba0cda705 · inbound

Adding Conditional Control to Text-to-Image Diffusion Models cites this paper.

Adding Conditional Control to Text-to-Image Diffusion Models Benchmarking Detection Transfer Learning with Vision Transformers

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:43:10.971064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0408340d-2dd4-42e7-9e2b-3a84518b0e99 · inbound

Robust Adaptation of Foundation Models with Black-Box Visual Prompting cites this paper.

Robust Adaptation of Foundation Models with Black-Box Visual Prompting Benchmarking Detection Transfer Learning with Vision Transformers

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:23:36.307944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ffe2ee62-2558-4fe2-9a91-6e2b07c7cf38 · inbound

Self-Supervised Learning for Real-World Object Detection: a Survey cites this paper.

Self-Supervised Learning for Real-World Object Detection: a Survey Benchmarking Detection Transfer Learning with Vision Transformers

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:03:21.313635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f5da79d6-9ca5-4b34-b89b-d243c4f3392a · inbound

Towards more transferable adversarial attack in black-box manner cites this paper.

Towards more transferable adversarial attack in black-box manner Benchmarking Detection Transfer Learning with Vision Transformers

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:41:11.779207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23514c34-1a8e-4d4a-9c7e-d94883a6abcd · inbound

ViT-Split: Unleashing the Power of Vision Foundation Models via Efficient Splitting Heads cites this paper.

ViT-Split: Unleashing the Power of Vision Foundation Models via Efficient Splitting Heads Benchmarking Detection Transfer Learning with Vision Transformers

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:29.983561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec110b89-46f8-47f9-8eb3-24092659f2d9 · inbound

MPT: Motion Prompt Tuning for Micro-Expression Recognition cites this paper.

MPT: Motion Prompt Tuning for Micro-Expression Recognition Benchmarking Detection Transfer Learning with Vision Transformers

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T21:05:12.990008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8db358b3-08e6-4917-8f57-f906807425a8 · inbound

High-Speed Full-Color HDR Imaging via Unwrapping Modulo-Encoded Spike Streams cites this paper.

High-Speed Full-Color HDR Imaging via Unwrapping Modulo-Encoded Spike Streams Benchmarking Detection Transfer Learning with Vision Transformers

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:30:23.828688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation edc35e0a-9445-4d58-bf6f-9bc4420c5c4b · inbound

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers cites this paper.

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers Benchmarking Detection Transfer Learning with Vision Transformers

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:28:32.128646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ab45c2d1-414b-41c5-9bfd-4eb025eb2c1e · inbound

Twins: Learn to Predict Unified Representations with Focal Loss cites this paper.

Twins: Learn to Predict Unified Representations with Focal Loss Benchmarking Detection Transfer Learning with Vision Transformers

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:45.886889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.