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Paper Citation Record · LEDGER

Improved Precision and Recall Metric for Assessing Generative Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:1904.06991.

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

pith.paper-citation-record.v1
1904.06991 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:50:14.704900Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:08:22.365373Z

Reference resolution

0 of 0 outbound references displayed

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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 93b5a3db-e76b-4f94-a473-f6987c78a8e6 · inbound

Diffusion Models Beat GANs on Image Synthesis cites this paper.

Diffusion Models Beat GANs on Image Synthesis Improved Precision and Recall Metric for Assessing Generative Models

Reference 32

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verified exact
arxiv_id, observed 2026-05-13T11:16:28.572981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T11:16:28.445702Z digest=sha256:5c9de4226570e1ef049e9a3b6dd9bcc967b7a073194de44e1d7c633a3e8612f8

Observation 893a84a4-832b-4fa6-a1be-aaf384c76a53 · inbound

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models cites this paper.

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Improved Precision and Recall Metric for Assessing Generative Models

Reference 14

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verified exact
arxiv_id, observed 2026-05-11T05:56:11.375994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T05:56:10.970591Z digest=sha256:608bf5096c87132ef21c4d0d63dafdbb5caf145497a35174b1eac487fe9dae92

Observation 3d4f3eae-737f-4b18-b1f0-36a6bb22f935 · inbound

High-Resolution Image Synthesis with Latent Diffusion Models cites this paper.

High-Resolution Image Synthesis with Latent Diffusion Models Improved Precision and Recall Metric for Assessing Generative Models

Reference 50

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verified exact
arxiv_id, observed 2026-05-11T22:02:10.291604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T22:02:09.899347Z digest=sha256:676aa2c00916972af1719b33a1e8f60ea79a8a0d27020be0cc460d83d7fe17e2

Observation c4c4921f-a0c1-45ed-be5e-db6e6fb75890 · inbound

Optimizing Knowledge Distillation in Transformers: Enabling Multi-Head Attention without Alignment Barriers cites this paper.

Optimizing Knowledge Distillation in Transformers: Enabling Multi-Head Attention without Alignment Barriers Improved Precision and Recall Metric for Assessing Generative Models

Reference 11

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unresolved
no resolver link, observed 2026-08-08T12:50:14.704900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:50:14.704900Z digest=sha256:301cf3a9e5dc9a5b1ddea4a78ec82e1967472c3b02d014f4303f8242e111be2a

Observation ced88c9d-d710-407a-9d14-7a5e2cd25528 · inbound

Paired and Unpaired Image to Image Translation using Generative Adversarial Networks cites this paper.

Paired and Unpaired Image to Image Translation using Generative Adversarial Networks Improved Precision and Recall Metric for Assessing Generative Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:21.772366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:06:21.772366Z digest=sha256:e034ba9f4b2a78cc61f4c954a2fc9dea89d7dfea3c7ada41a8526110061f9af7

Observation 069b87c9-3227-4510-8ebf-94d0feef6b0c · inbound

DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models cites this paper.

DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models Improved Precision and Recall Metric for Assessing Generative Models

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T10:30:28.136765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:30:28.136765Z digest=sha256:626033f70baefa743d3831de8995c913a60533abdd4e01f566f08c668a305db5

Observation 632e5ff8-76bb-4f4e-89de-f5cc318033e6 · 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 Improved Precision and Recall Metric for Assessing Generative Models

Reference 39

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unresolved
no resolver link, observed 2026-08-06T21:48:53.852853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:48:53.852853Z digest=sha256:22a5b11200f7fdba1240e7b416c572de79c54066fbc903f8769207e0b26a2540

Observation be57c8c7-4ca6-4325-9e91-3167a6a93d44 · inbound

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation cites this paper.

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Improved Precision and Recall Metric for Assessing Generative Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-05T18:47:45.274012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:47:45.274012Z digest=sha256:f77efa03420cb9d336a44bc6c8f213a3a9348af804e38cbdb9dd0d05524ef239

Observation 8e60e3bf-a640-4cb7-a568-21b6bfe649ba · inbound

GRASP: Guided Residual Adapters with Sample-wise Partitioning cites this paper.

GRASP: Guided Residual Adapters with Sample-wise Partitioning Improved Precision and Recall Metric for Assessing Generative Models

Reference 18

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verified exact
arxiv_id, observed 2026-05-17T02:58:55.084600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T02:55:28.489534Z digest=sha256:97e785f1214cfd772fd794db59a8db3bde6fefa2189f6bdfa8f6e2e3edda2a97

Observation ec58f379-0fcb-4414-9d13-95aaf048ed80 · inbound

Score-Control for Hallucination Reduction in Diffusion Models cites this paper.

Score-Control for Hallucination Reduction in Diffusion Models Improved Precision and Recall Metric for Assessing Generative Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:25:59.978918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T22:43:58.497298Z digest=sha256:950b047157b015f25a99c43e2493f3cb555fbe80954c4f99ace8a09f03fd7307

Observation 1eab0458-211a-4198-96b4-33a72c865654 · inbound

IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder cites this paper.

IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder Improved Precision and Recall Metric for Assessing Generative Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:37:40.270431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T13:10:14.308216Z digest=sha256:63bb6b44d2ba4d908b924f492f267ec5eda05f68540d28ab0505f3becbbc3b16

Observation d98be1b9-7bbd-43e2-9570-90a35222a496 · inbound

VideoMDM: Towards 3D Human Motion Generation From 2D Supervision cites this paper.

VideoMDM: Towards 3D Human Motion Generation From 2D Supervision Improved Precision and Recall Metric for Assessing Generative Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:08:22.366924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T07:10:42.987128Z digest=sha256:a990837944d5c038e4267e32fa3bb71393daba4006fda0f4a5d39b1d073e7af4

Observation 3a4cdbeb-7c10-4145-90d2-44df0be602ed · inbound

GenSyn10: A Multi-Generative AI Dataset For Benchmarking Image Classification cites this paper.

GenSyn10: A Multi-Generative AI Dataset For Benchmarking Image Classification Improved Precision and Recall Metric for Assessing Generative Models

Reference 25

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no resolver link, observed 2026-08-02T07:41:38.164636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:41:38.164636Z digest=sha256:8863758ffcfdb6d6bd9f0e5114965f3886ddbfd90c94600eacba991fc6bd5c82

Observation 0303ff15-ad53-4c99-bd2b-355abf9d880a · inbound

HistoFID- Calibrating Frechet-distance evaluation across pathology foundation models cites this paper.

HistoFID- Calibrating Frechet-distance evaluation across pathology foundation models Improved Precision and Recall Metric for Assessing Generative Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T10:56:35.817343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:56:35.817343Z digest=sha256:c9f6c489210a04525b3c408f1f941f0b3f75bb5b609f20f3084ae58a06b4380b

Observation f137c6ab-d5fd-4879-a830-938d875510f1 · inbound

Phantom Evidence: How and Why Generative AI Manufactures False Positives in Science cites this paper.

Phantom Evidence: How and Why Generative AI Manufactures False Positives in Science Improved Precision and Recall Metric for Assessing Generative Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T01:02:22.064168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:02:22.064168Z digest=sha256:4b817ed57501abd2f14589703da886ef400d4f7fa3295f489d40f8a8674fab6b

Observation e1de81b3-66c6-41d3-8cc1-6a4ffde5352c · inbound

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents cites this paper.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Improved Precision and Recall Metric for Assessing Generative Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-03T16:50:37.179996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T16:50:37.179996Z digest=sha256:2d021529d7511ea042303403fa1b975e21be0e9e4f26b2449a11bfa952db924a