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Paper Citation Record · LEDGER

CountLoop: Training-Free High-Instance Image Generation via Iterative Agent Guidance

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2508.16644.

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

pith.paper-citation-record.v1
2508.16644 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T08:52:23.547337Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T10:29:44.482897Z

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 6ae5d81f-7de9-42b6-9de9-7c9511722349 · inbound

PRISM: A Benchmark for Programmatic Spatial-Temporal Reasoning cites this paper.

PRISM: A Benchmark for Programmatic Spatial-Temporal Reasoning CountLoop: Training-Free High-Instance Image Generation via Iterative Agent Guidance

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-05-20T05:53:04.353109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T05:52:46.575173Z digest=sha256:185ada50fe142359ca1514b7a343c0884d8ba1bf3e57e01e4453f247b0219bc3

Observation 6d1f462a-1d9a-4d1c-abe7-c074160c6209 · inbound

ABACUS: Adapting Unified Foundation Model for Bridging Image Count Understanding and Generation cites this paper.

ABACUS: Adapting Unified Foundation Model for Bridging Image Count Understanding and Generation CountLoop: Training-Free High-Instance Image Generation via Iterative Agent Guidance

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-07-04T10:29:44.484301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-26T08:52:23.547337Z digest=sha256:fc1d3ff16f7dae836162d3e6fc6d201e1677e9cf581ad4ebde143966bfcc4984