Paper Citation Record · LEDGER

Planning and Rendering: Towards Product Poster Generation with Diffusion Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2312.08822.

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

pith.paper-citation-record.v1
2312.08822 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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:21:04.399795Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:56:20.008776Z

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 97536d1d-fd09-4765-b9de-ed33dd2e1f4a · inbound

CTR-Driven Advertising Image Generation with Multimodal Large Language Models cites this paper.

CTR-Driven Advertising Image Generation with Multimodal Large Language Models Planning and Rendering: Towards Product Poster Generation with Diffusion Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T10:21:04.399795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5d1179f-08a7-45b5-ae8e-60425f4a7865 · inbound

Rethinking Layered Graphic Design Generation with a Top-Down Approach cites this paper.

Rethinking Layered Graphic Design Generation with a Top-Down Approach Planning and Rendering: Towards Product Poster Generation with Diffusion Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T19:26:18.113588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56330e0a-39bb-4243-a496-017f1a5f18b4 · inbound

Text-Conditioned Background Generation for Editable Multi-Layer Documents cites this paper.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Planning and Rendering: Towards Product Poster Generation with Diffusion Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T15:24:46.040629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 141ff654-b733-4b9b-a16b-5c5c4374196d · inbound

simpleposter: a simple baseline for product poster generation cites this paper.

simpleposter: a simple baseline for product poster generation Planning and Rendering: Towards Product Poster Generation with Diffusion Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:46:15.037703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 234548bc-a170-4fd4-899c-8b6ac70478db · inbound

Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models cites this paper.

Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models Planning and Rendering: Towards Product Poster Generation with Diffusion Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:37:29.574447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4ecbe6dc-0906-4120-9147-b56b7fde59f3 · inbound

Any2Poster: Any-Source Poster Generation Across Modalities and Domains cites this paper.

Any2Poster: Any-Source Poster Generation Across Modalities and Domains Planning and Rendering: Towards Product Poster Generation with Diffusion Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:56:20.010637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.