Pith. sign in

Paper Citation Record · LEDGER

Automatically Discovering and Learning New Visual Categories with Ranking Statistics

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2002.05714.

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

pith.paper-citation-record.v1
2002.05714 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:35:13.944998Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:26:00.091296Z

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 d74e1ea4-aa21-4169-ac4c-d64fcbae5729 · inbound

DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution cites this paper.

DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution Automatically Discovering and Learning New Visual Categories with Ranking Statistics

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T23:35:13.944998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:35:13.944998Z digest=sha256:8a31243773082a5006b018ec1db9b10320b565631ba10f470e96576dfe29b79a

Observation 352fe3b2-31b3-43da-a9d6-313b5b7ace31 · inbound

Generalized Category Discovery via Token Manifold Capacity Learning cites this paper.

Generalized Category Discovery via Token Manifold Capacity Learning Automatically Discovering and Learning New Visual Categories with Ranking Statistics

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:14.023471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:14.023471Z digest=sha256:d5ae420a2b1e4864803955febf06b65ac0af0dfe79aeffb6c893cb85e22adcca

Observation 8fe78958-7eb0-4378-898d-e88b76590dd2 · inbound

Adaptive Part Learning for Fine-Grained Generalized Category Discovery: A Plug-and-Play Enhancement cites this paper.

Adaptive Part Learning for Fine-Grained Generalized Category Discovery: A Plug-and-Play Enhancement Automatically Discovering and Learning New Visual Categories with Ranking Statistics

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T18:56:52.026651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:56:52.026651Z digest=sha256:b0d503f642d5c1da8ca7a5ac7e84f025611a65371ee98955487b1735261d98e9

Observation e1176f55-b0fb-4e47-a137-e2af01995ab6 · inbound

Unsupervised Incremental Learning Using Confidence-Based Pseudo-Labels cites this paper.

Unsupervised Incremental Learning Using Confidence-Based Pseudo-Labels Automatically Discovering and Learning New Visual Categories with Ranking Statistics

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:26:00.191318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T14:25:53.527765Z digest=sha256:81f1262061f15e072b7596b7d5cb9c6ec2dad7f016dc2c0d41bc7c75bb72d165

Observation 02f3f5b1-6bc6-4467-b2b5-7bcf896e5580 · inbound

SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Generalized Category Discovery cites this paper.

SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Generalized Category Discovery Automatically Discovering and Learning New Visual Categories with Ranking Statistics

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T22:18:35.396010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:18:35.396010Z digest=sha256:a40fad679fdff9f86415b42aaea0c569e95c727de44a5d3e39be6c35b4c6980c

Observation 809ca0bb-4d6a-4042-9b8f-e1318ad10dbb · inbound

Explainable Novel Category Discovery in Semantic Concept Space cites this paper.

Explainable Novel Category Discovery in Semantic Concept Space Automatically Discovering and Learning New Visual Categories with Ranking Statistics

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T17:32:24.547251Z digest=sha256:70ab0b90615b7a5363328f1e5030dc07fc153404f581203433b09bd0f614eb9c