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Paper Citation Record · LEDGER

Make It Count: Text-to-Image Generation with an Accurate Number of Objects

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.10210.

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

pith.paper-citation-record.v1
2406.10210 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:21:35.617842Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:29:44.474408Z

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 eab8f185-3067-4344-978f-d534281a43ca · inbound

JEDI: The Force of Jensen-Shannon Divergence in Disentangling Diffusion Models cites this paper.

JEDI: The Force of Jensen-Shannon Divergence in Disentangling Diffusion Models Make It Count: Text-to-Image Generation with an Accurate Number of Objects

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T14:21:35.617842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:35.617842Z digest=sha256:a133e82280fd9f9b8f925ae2ee4896ee4f9400b177c11e8f82a755e4b1dd4698

Observation 6bf21faa-3598-4882-a330-84ce951debe6 · 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 Make It Count: Text-to-Image Generation with an Accurate Number of Objects

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T13:49:31.747748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:49:31.747748Z digest=sha256:a9632138dcd47ae107db9097a7910cca7f12c27eceab6a0337db71a48e7307f6

Observation e945a66a-b59f-4c78-ad64-79c399363611 · inbound

Be Decisive: Noise-Induced Layouts for Multi-Subject Generation cites this paper.

Be Decisive: Noise-Induced Layouts for Multi-Subject Generation Make It Count: Text-to-Image Generation with an Accurate Number of Objects

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T13:33:23.609326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:33:23.609326Z digest=sha256:bb78f8e152939a32fb3e4f18bffc7425e5eb8e985dffe2251b99172584122543

Observation 0ea45198-da49-4e43-8899-98e48f061e84 · inbound

FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation cites this paper.

FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation Make It Count: Text-to-Image Generation with an Accurate Number of Objects

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T11:54:17.996781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:54:17.996781Z digest=sha256:f499d212b06338c33434639e4866927f2da483391ffdeb3a0e603c39947075f0

Observation 4fd1b3e2-497d-4ced-ae61-9af9773af035 · inbound

Why Settle for Mid: A Probabilistic Viewpoint to Spatial Relationship Alignment in Text-to-image Models cites this paper.

Why Settle for Mid: A Probabilistic Viewpoint to Spatial Relationship Alignment in Text-to-image Models Make It Count: Text-to-Image Generation with an Accurate Number of Objects

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T21:48:51.348576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:48:51.348576Z digest=sha256:dd56c9e8859de98ed52a6458b2affd2682b583901193250684e2facc86b5cf95

Observation ffccaaf0-9307-464e-bea7-a9ab911bd3d4 · inbound

CARINOX: Inference-time Scaling with Category-Aware Reward-based Initial Noise Optimization and Exploration cites this paper.

CARINOX: Inference-time Scaling with Category-Aware Reward-based Initial Noise Optimization and Exploration Make It Count: Text-to-Image Generation with an Accurate Number of Objects

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-18T15:26:33.629698Z

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.

source=pdf_text observed=2026-05-18T15:25:39.116881Z digest=sha256:2819505e2c129d2ff163e32c611420310d1167efedc7fef908bc7ef9e71902b2

Observation 6fba4d7d-73f9-4c6e-8e1e-b1db4ad3c3cd · inbound

AI-T2I: Aggregating-and-Isolating Cross-Attention to Diffusion Models for Text-to-Image Synthesis cites this paper.

AI-T2I: Aggregating-and-Isolating Cross-Attention to Diffusion Models for Text-to-Image Synthesis Make It Count: Text-to-Image Generation with an Accurate Number of Objects

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:54:00.953230Z

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.

source=pdf_text observed=2026-06-29T22:51:21.854892Z digest=sha256:e0a6ba664ba8ac26a72ee47bcb51502111d6307df3200f753110c1d664a11994

Observation 188e9d84-4753-4694-b6b4-7168abcd87d6 · 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 Make It Count: Text-to-Image Generation with an Accurate Number of Objects

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:29:44.476019Z

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.

source=pdf_text observed=2026-06-26T08:52:23.547337Z digest=sha256:b787cb6997e7b655774a7cfc10af1370f3e8a988efe84c551a6a2734a574d344