Paper Citation Record · LEDGER

Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2205.10203.

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

pith.paper-citation-record.v1
2205.10203 v2

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 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:21:50.159649Z

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

12
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 87c29022-3431-422d-9ede-ec3805910242 · inbound

Expanding Zero-Shot Object Counting with Rich Prompts cites this paper.

Expanding Zero-Shot Object Counting with Rich Prompts Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:50.159649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24f260c0-e003-4b56-9e36-56ed45b130db · inbound

Single Domain Generalization for Few-Shot Counting via Universal Representation Matching cites this paper.

Single Domain Generalization for Few-Shot Counting via Universal Representation Matching Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:55.383441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9a7dd83-df8e-4728-89df-bf40d0e4e42b · inbound

ISAC: Training-Free Instance-to-Semantic Attention Control for Multi-Instance Generation cites this paper.

ISAC: Training-Free Instance-to-Semantic Attention Control for Multi-Instance Generation Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T13:49:34.683959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4a36621-0aee-4fa1-bd05-7e9709d0cd52 · inbound

SFOOD: A Multimodal Benchmark for Comprehensive Food Attribute Analysis Beyond RGB with Spectral Insights cites this paper.

SFOOD: A Multimodal Benchmark for Comprehensive Food Attribute Analysis Beyond RGB with Spectral Insights Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:25.268055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 802427aa-d3bb-42c2-b1d7-9d7666d13004 · inbound

Does it Really Count? Assessing Semantic Grounding in Text-Guided Class-Agnostic Counting cites this paper.

Does it Really Count? Assessing Semantic Grounding in Text-Guided Class-Agnostic Counting Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:52:56.728373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation efa6b7b5-9ec8-4433-9469-6e0a13450f43 · inbound

RT-Counter: Real-Time Text-Guided Open-Vocabulary Object Counting cites this paper.

RT-Counter: Real-Time Text-Guided Open-Vocabulary Object Counting Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:18:56.287273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.