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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:43:32.285517Z

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 3a1cf231-edd2-4651-920c-d6206e7bccfe · inbound

Vision Transformers for Weakly-Supervised Microorganism Enumeration cites this paper.

Vision Transformers for Weakly-Supervised Microorganism Enumeration Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T23:43:32.285517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:43:32.285517Z digest=sha256:a8345bcd270bff081027981c57b99d2a4141ad6d09fa504978500f922db02627

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.

source=pdf_text observed=2026-08-07T15:21:50.159649Z digest=sha256:834f142dd0f9d25d02211eb130c359c8d8167a3d65cbed1293702c9047bc9438

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.

source=pdf_text observed=2026-08-07T14:58:55.383441Z digest=sha256:6f220ce789f822dd5bb58a008d4647661e35648605168a6864beaa5e8a387f3a

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.

source=pdf_text observed=2026-08-07T13:49:34.683959Z digest=sha256:d8a3f47c67dca0811970984ed4d1a63e1beaf0badeec2986684c9e97333cebc5

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.

source=pdf_text observed=2026-08-06T19:53:25.268055Z digest=sha256:0f22726ddca7a81a4e8a018751946b9adf5b7c3da4a694d297124186be177656

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-14T20:52:42.897265Z digest=sha256:38b2dba80f4161b7bc2c330777216fa0afff01dff9d2b5bc960c0baa572fb251

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T01:30:34.557517Z digest=sha256:601f999dc3bd57cad7db6193261d6f6f4930cbb4c1dde16e5a71d8c6a8b5b746