Pith. sign in

Paper Citation Record · LEDGER

A Comparative Survey of Deep Active Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2203.13450.

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

pith.paper-citation-record.v1
2203.13450 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:52:49.853983Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:49:02.681916Z

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 ec65dc95-e49e-4e92-8c58-73412ad08dc0 · inbound

Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs cites this paper.

Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs A Comparative Survey of Deep Active Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:52:49.853983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:52:49.853983Z digest=sha256:2a55177c3790e1df484665c48c9443a63f9f9587363bc40bd5067ed607733eb9

Observation dcd31108-fb5a-4f79-b8dc-3e8885b2068d · inbound

TAPS : Frustratingly Simple Test Time Active Learning for VLMs cites this paper.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs A Comparative Survey of Deep Active Learning

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T13:58:14.983531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:58:14.983531Z digest=sha256:9321baa957ffd374246687647fd9307d0e1de51ee27e182f4ef48000f355bf95

Observation 6cdec86e-5a53-45fa-a0c4-845d88f4a814 · inbound

ALScope: A Unified Toolkit for Deep Active Learning cites this paper.

ALScope: A Unified Toolkit for Deep Active Learning A Comparative Survey of Deep Active Learning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T23:45:07.507430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:45:07.507430Z digest=sha256:3122ca7cf098f945848d57cd3bf1a8e0dfc69bd0bb602c93339896c2fd4659f2

Observation 1b8815ab-332c-4f60-9dc4-71b7be4a66c0 · inbound

Combining Discrepancy-Confusion Uncertainty and Calibration Diversity for Active Fine-Grained Image Classification cites this paper.

Combining Discrepancy-Confusion Uncertainty and Calibration Diversity for Active Fine-Grained Image Classification A Comparative Survey of Deep Active Learning

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-04T14:42:48.064775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:48.064775Z digest=sha256:098f5485f2693d3d6e9ba90bf0c0598e8fc36e5f71f684810859fe0bb082284c

Observation 56852673-b22f-4492-8b0c-a3b7ad42ae77 · inbound

Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems cites this paper.

Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems A Comparative Survey of Deep Active Learning

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:56:02.438365Z

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=2026-05-10T17:22:25.943097Z digest=sha256:c45764c5130cd0d6f2319b035dd09fdaa781e7c9c0f5b4454ad2bbb0a1c5fa8c

Observation 2d546960-9994-4849-b557-c1f6c302bdaa · inbound

POCA: Pareto-Optimal Curriculum Alignment for Visual Text Generation cites this paper.

POCA: Pareto-Optimal Curriculum Alignment for Visual Text Generation A Comparative Survey of Deep Active Learning

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:41:15.362124Z

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=2026-05-08T04:37:41.629935Z digest=sha256:4d53be40905d7281140e7c33fe486780ad0e0acd6478865aa736593579988678

Observation 9b4936d0-4b3b-4530-a8f6-16b03b9f71f0 · inbound

From Model Uncertainty to Human Attention: Localization-Aware Visual Cues for Scalable Annotation Review cites this paper.

From Model Uncertainty to Human Attention: Localization-Aware Visual Cues for Scalable Annotation Review A Comparative Survey of Deep Active Learning

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:02:13.415826Z

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=arxiv_source observed=2026-05-13T03:58:44.738935Z digest=sha256:d2264e324b883c7182bac75086b9fbb72b80f56fbd6b071b498fb7aecb576876

Observation 9588bd0e-48e4-40a4-8aac-63b2ea6431c4 · inbound

CRAFT: Cost-aware Refinement And Front-aware Tuning of Prompts cites this paper.

CRAFT: Cost-aware Refinement And Front-aware Tuning of Prompts A Comparative Survey of Deep Active Learning

Reference 183

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:46:46.374170Z

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=arxiv_source observed=2026-06-28T06:39:17.268337Z digest=sha256:ac5a4c435b5512098420edf6fad5880d63a2fee590d1afa6e0c1715b8e84f239

Observation 9b6bd446-3d06-4de5-88bc-a1015a69201a · inbound

From Bounding Boxes to Visual Reasoning: An On-Policy Data Annotation Tool for Vision-Language Models cites this paper.

From Bounding Boxes to Visual Reasoning: An On-Policy Data Annotation Tool for Vision-Language Models A Comparative Survey of Deep Active Learning

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T23:49:02.683571Z

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=2026-06-26T21:44:21.358928Z digest=sha256:5a9c0782b71e8e03e00d6e49829d5b3c255b8dc9d24224f3adc04753c6294991

Observation 19cb78b2-280b-43dc-baa0-fe635ace0142 · inbound

How Many Labels Are Enough? ALDA: Active Learning Deployment Advisor for Medical Image Classification cites this paper.

How Many Labels Are Enough? ALDA: Active Learning Deployment Advisor for Medical Image Classification A Comparative Survey of Deep Active Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T17:44:51.725028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:44:51.725028Z digest=sha256:2ac455c52454eb9658e8548bea2b08c44b1e599d00985efa645d2a4c1cefc0b7