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Paper Citation Record · LEDGER

XCon: Learning with Experts for Fine-grained Category Discovery

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2208.01898.

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

pith.paper-citation-record.v1
2208.01898 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 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:25:53.232740Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T14:47:03.317774Z

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 3311539c-3061-423c-8bf4-ecf173bfa129 · inbound

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

Unsupervised Incremental Learning Using Confidence-Based Pseudo-Labels XCon: Learning with Experts for Fine-grained Category Discovery

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T14:25:53.232740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:25:53.232740Z digest=sha256:7d0e218acf2226dd6b8afc1855f940abaa5d5ac49d79a71c066bd2f0460d025d

Observation 34328a6a-25f3-4694-a557-aecd72551085 · inbound

The Devil Is in Gradient Entanglement: Energy-Aware Gradient Coordinator for Robust Generalized Category Discovery cites this paper.

The Devil Is in Gradient Entanglement: Energy-Aware Gradient Coordinator for Robust Generalized Category Discovery XCon: Learning with Experts for Fine-grained Category Discovery

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:33:23.463125Z

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.

source=pdf_text observed=2026-05-15T00:30:02.907230Z digest=sha256:249c3ae88f4c0057aa8f4db7b1227f3b3b20bbb3f0934f5009389e9dda844d67

Observation a5c6c415-ae13-485c-a5a3-b525f9926de5 · inbound

Unlocking Optical Prior: Spectrum-Guided Knowledge Transfer for SAR Generalized Category Discovery cites this paper.

Unlocking Optical Prior: Spectrum-Guided Knowledge Transfer for SAR Generalized Category Discovery XCon: Learning with Experts for Fine-grained Category Discovery

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:06:11.292192Z

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.

source=pdf_text observed=2026-05-08T12:36:11.886012Z digest=sha256:83ac6a5dc1ffc0c2d54d19ed522fd3481ca7864752066669ac6e39b3fbcd18e8

Observation 3e970096-b0ea-46c5-ad79-021f2eb6098c · inbound

Sparsity Hurts: Simple Linear Adapter Can Boost Generalized Category Discovery cites this paper.

Sparsity Hurts: Simple Linear Adapter Can Boost Generalized Category Discovery XCon: Learning with Experts for Fine-grained Category Discovery

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:21:24.888499Z

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.

source=pdf_text observed=2026-05-12T01:13:39.969280Z digest=sha256:f1a1a744c43b988d2a82a8c403047dbcece9d4f129396bf5d33234601bfd088a

Observation a91643b7-113e-4e08-97f3-ddef5cbbe254 · inbound

Identifying Latent Concepts and Structures for Generalized Category Discovery cites this paper.

Identifying Latent Concepts and Structures for Generalized Category Discovery XCon: Learning with Experts for Fine-grained Category Discovery

Reference 57

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T14:47:03.319475Z

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.

source=arxiv_source observed=2026-07-02T14:42:01.334822Z digest=sha256:3262a97f12ff97460462320b6f9823422720ef1a61ae3b81e1a53166c085e6cc

Observation 570fb540-c18b-4ee6-9258-8693d70198d6 · inbound

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

Explainable Novel Category Discovery in Semantic Concept Space XCon: Learning with Experts for Fine-grained Category Discovery

Reference 44

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:de766ca2100ce76b5502e08f1040f42f5a892c21c2a7d13ea9b3c8209c41b340