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Paper Citation Record · LEDGER

A Simple Semi-Supervised Learning Framework for Object Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2005.04757.

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

pith.paper-citation-record.v1
2005.04757 v2

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 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:38:40.292361Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

326
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d235309a-5aeb-443a-aa8f-3b4c37e1478e · inbound

SemiHMER: Semi-supervised Handwritten Mathematical Expression Recognition using pseudo-labels cites this paper.

SemiHMER: Semi-supervised Handwritten Mathematical Expression Recognition using pseudo-labels A Simple Semi-Supervised Learning Framework for Object Detection

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T13:38:40.292361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:38:40.292361Z digest=sha256:915352ec5b5eb2e7d5ea1a80b8f61e2d702880d88d45dfb0b2bb0315d3661dae

Observation e785d13d-5c98-409b-bde4-2e4ae2e061bd · inbound

SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning cites this paper.

SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning A Simple Semi-Supervised Learning Framework for Object Detection

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:18.775076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:18.775076Z digest=sha256:2929a7053337044556322be87ab141cd82b44f46d6593fc5af1a5dc15d3449b7

Observation c85ab115-05df-4b96-bfa6-8bd9a8dfca81 · inbound

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection cites this paper.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection A Simple Semi-Supervised Learning Framework for Object Detection

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:54.789838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.789838Z digest=sha256:2d011af8d02de1e14478f8d00c7d76a2449baea8820aa9ac20a48b6568441a77

Observation 05729f24-23a4-4402-8790-33a2d0daa749 · inbound

Dual Guidance Semi-Supervised Action Detection cites this paper.

Dual Guidance Semi-Supervised Action Detection A Simple Semi-Supervised Learning Framework for Object Detection

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T13:01:54.873595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:01:54.873595Z digest=sha256:6f2f1c09dbe7e8ba3c143e53945c75b64429f8e65595c4e5030c739466cdc799

Observation 3c81d4eb-c450-41bd-897a-98138a335c00 · inbound

SCOUT: Semi-supervised Camouflaged Object Detection by Utilizing Text and Adaptive Data Selection cites this paper.

SCOUT: Semi-supervised Camouflaged Object Detection by Utilizing Text and Adaptive Data Selection A Simple Semi-Supervised Learning Framework for Object Detection

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T16:47:18.600840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:47:18.600840Z digest=sha256:4b2d73ccc5e78e34109f7efaa1769ede22a71416c1a8fff0b1e48d012f9fc016

Observation c5e74b00-96d2-40d2-9ab8-9c1137a5888d · inbound

Robust and Label-Efficient Deep Waste Detection cites this paper.

Robust and Label-Efficient Deep Waste Detection A Simple Semi-Supervised Learning Framework for Object Detection

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T16:15:07.123968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:15:07.123968Z digest=sha256:768bda75a9974a4f1cf3aaee28143c3f503258b609ff4f28da50a349f5744223

Observation d3aced8e-5dba-472d-9d73-39d0c80c846e · inbound

Learning Adaptive Pseudo-Label Selection for Semi-Supervised 3D Object Detection cites this paper.

Learning Adaptive Pseudo-Label Selection for Semi-Supervised 3D Object Detection A Simple Semi-Supervised Learning Framework for Object Detection

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:52:35.634033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T11:51:46.861088Z digest=sha256:f178ab313fa192494bb542209901cb423c7222d112a00ddfa8ac57cd8919775d

Observation 14fbd2bb-9a2e-4450-9f52-3925eeec2d41 · inbound

Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning cites this paper.

Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning A Simple Semi-Supervised Learning Framework for Object Detection

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:03:20.323481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T13:58:32.913673Z digest=sha256:5a8e864d0fee5f6018dec36b961527d2165108560427979395d6782b749b4962

Observation 248e6e27-c84a-4d90-9cbd-be391793e761 · inbound

Bounding Box Label Propagation for Re-Annotation of Document Layout Analysis Datasets cites this paper.

Bounding Box Label Propagation for Re-Annotation of Document Layout Analysis Datasets A Simple Semi-Supervised Learning Framework for Object Detection

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T19:18:54.878149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T01:55:25.580791Z digest=sha256:b008aee481e049fb5a6d4ae5cf279c61176138a27db0d239911eb1c1ca2fe9c6