Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:34:49.620099Z

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 fa70afa9-7a6c-4d04-81f7-b2c69bd1fbbb · inbound

Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation cites this paper.

Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation Make It Count: Text-to-Image Generation with an Accurate Number of Objects

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T11:23:38.197831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a849933-5def-4fc9-af78-cbfbc2848ac4 · inbound

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion cites this paper.

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion Make It Count: Text-to-Image Generation with an Accurate Number of Objects

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T23:34:49.620099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01f025d5-9ee2-4cf9-b875-8d030059614e · inbound

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers cites this paper.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Make It Count: Text-to-Image Generation with an Accurate Number of Objects

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T23:27:38.208964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe60c76d-ada5-428a-9de6-7341ad2c263f · inbound

InstanceGen: Image Generation with Instance-level Instructions cites this paper.

InstanceGen: Image Generation with Instance-level Instructions Make It Count: Text-to-Image Generation with an Accurate Number of Objects

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:32.079463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13f56677-9437-4626-9d64-409c9deda726 · inbound

Towards Self-Improvement of Diffusion Models via Group Preference Optimization cites this paper.

Towards Self-Improvement of Diffusion Models via Group Preference Optimization Make It Count: Text-to-Image Generation with an Accurate Number of Objects

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:29.329115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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.

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.

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.

Observation de0dc7a0-55e4-412f-802e-77f6fea83c8d · inbound

Cost-Aware Routing for Efficient Text-To-Image Generation cites this paper.

Cost-Aware Routing for Efficient Text-To-Image Generation Make It Count: Text-to-Image Generation with an Accurate Number of Objects

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T19:53:40.493097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.