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Paper Citation Record · LEDGER

Frustratingly Simple Few-Shot Object Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2003.06957.

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

pith.paper-citation-record.v1
2003.06957 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:58:54.095640Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:19:48.019209Z

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 86f89577-7cb6-453c-810b-285054f4d9b3 · inbound

Visual Textualization for Image Prompted Object Detection cites this paper.

Visual Textualization for Image Prompted Object Detection Frustratingly Simple Few-Shot Object Detection

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T21:37:07.148413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:37:07.148413Z digest=sha256:8b14401ba573a208aa5895dc61455a4d46b126e0c3441945237b55bf95b1d58d

Observation c5d882df-635a-4d06-9a08-decfc33e9b11 · inbound

Few-Shot Learning in Video and 3D Object Detection: A Survey cites this paper.

Few-Shot Learning in Video and 3D Object Detection: A Survey Frustratingly Simple Few-Shot Object Detection

Reference 117

Resolution
unresolved
no resolver link, observed 2026-08-06T15:00:44.807734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:00:44.807734Z digest=sha256:702e8070d8aad4c0034511ed0e64235bba4c574d4a633218881c7fe6e9f3f266

Observation 4673a1b5-1f80-4eac-9be2-d84786bf6f0a · inbound

UniSpector: Towards Universal Open-set Defect Recognition via Spectral-Contrastive Visual Prompting cites this paper.

UniSpector: Towards Universal Open-set Defect Recognition via Spectral-Contrastive Visual Prompting Frustratingly Simple Few-Shot Object Detection

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:23:13.614684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T20:20:35.694280Z digest=sha256:60d4092e003e646a4856e2eae5c03649ecc446ed0a9f792fcaee5640d5cd68fb

Observation 938bfa53-ce63-4f0b-8631-f64f20607f14 · inbound

The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results cites this paper.

The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results Frustratingly Simple Few-Shot Object Detection

Reference 113

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:21:00.746339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:05:16.070144Z digest=sha256:c5c5b68668c753b8b338005aad659dae294f01b972d943c7ec9694149ac6cbb3

Observation a88a8daa-5765-4923-aa00-1ebb9b8af5f2 · inbound

GiPL: Generative augmented iterative Pseudo-Labeling for Cross-Domain Few-Shot Object Detection cites this paper.

GiPL: Generative augmented iterative Pseudo-Labeling for Cross-Domain Few-Shot Object Detection Frustratingly Simple Few-Shot Object Detection

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:43:14.915181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T08:41:07.462942Z digest=sha256:19d233e8358802ead1cc370f63fb6e1e3c88cb0eeda60edf4527bd42365da9b9

Observation 2595c272-8e83-41dc-932b-08613314e5d8 · inbound

Proposal Refinement for Few-Shot Object Detection cites this paper.

Proposal Refinement for Few-Shot Object Detection Frustratingly Simple Few-Shot Object Detection

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:07:28.554149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T17:26:11.998614Z digest=sha256:98f9cb853de3b2433fe4b441ae884627fd938e03c940d26fb39acbf992c918d6

Observation a502ed04-541d-4fcb-b252-7787745729bc · inbound

Training-Free Metrics for Synthetic Object Detection Data: A Proxy for Detector Performance cites this paper.

Training-Free Metrics for Synthetic Object Detection Data: A Proxy for Detector Performance Frustratingly Simple Few-Shot Object Detection

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:09:28.953573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T18:32:03.114828Z digest=sha256:427037900bd1e7d28c58ba46bb14facf6262890bad8fdcf99c7518016f5e201e

Observation fa661755-c5e9-4b89-85d2-0cc9e708feb9 · inbound

Training-Free Metrics for Synthetic Object Detection Data: A Proxy for Detector Performance cites this paper.

Training-Free Metrics for Synthetic Object Detection Data: A Proxy for Detector Performance Frustratingly Simple Few-Shot Object Detection

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-02T10:53:08.550867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:53:08.550867Z digest=sha256:452b70b3ec6874c9c029e71f9647e9c4c0ec1ea4b76cc8cc4c5e5b4d4b78c23d

Observation d1084174-abce-4d1b-84d8-a6bef6503d40 · inbound

Rethinking Prototype-based Similarity Learning for Few-Shot Object Detection cites this paper.

Rethinking Prototype-based Similarity Learning for Few-Shot Object Detection Frustratingly Simple Few-Shot Object Detection

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:19:48.020460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T08:54:05.116874Z digest=sha256:bf1454669bfcb7883a59d43c6eabc8b8947443f319800e1c6605c5232907cea5

Observation 979f011e-a17b-4209-a24c-3625609ef312 · inbound

Rethinking Prototype-based Similarity Learning for Few-Shot Object Detection cites this paper.

Rethinking Prototype-based Similarity Learning for Few-Shot Object Detection Frustratingly Simple Few-Shot Object Detection

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T10:44:36.597773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T10:38:38.373058Z digest=sha256:772486edad74cd9916ee042df1621ad5c7a2b8396f99869346cf558f1292a47d

Observation 2d5154b0-a4ce-4637-8971-e3c51a462ef9 · inbound

Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection cites this paper.

Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Frustratingly Simple Few-Shot Object Detection

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-06T00:20:38.052003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:20:38.052003Z digest=sha256:05ee1e53e8a0c32b8b907b9a44f334f02e8ad947fd54bb06190644f078245532

Observation 3fdeecaa-15f8-4d35-a9dd-3d56cb75ef98 · inbound

Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection cites this paper.

Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Frustratingly Simple Few-Shot Object Detection

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:54.095640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:54.095640Z digest=sha256:d9616ec3fa8560a9a628bd042fe4bd6029b6f6e329111955f5ab45515c214a76