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Paper Citation Record · LEDGER

Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2401.02677.

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

pith.paper-citation-record.v1
2401.02677 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:36:12.680068Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T22:19:00.463915Z

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 6445c0f7-b9ce-4a0e-92b6-bf071587d1e5 · inbound

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation cites this paper.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T23:36:12.680068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:36:12.680068Z digest=sha256:63209a2c0c8ae1ac756db2a287f3fe9ef758e18a5134859e73775bbc51042090

Observation 60260d64-ba68-4ea2-9c66-6e806be16a34 · inbound

Memory-Efficient Personalization of Text-to-Image Diffusion Models via Selective Optimization Strategies cites this paper.

Memory-Efficient Personalization of Text-to-Image Diffusion Models via Selective Optimization Strategies Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T17:44:30.142435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:44:30.142435Z digest=sha256:14ba296238c0d72b99c3f2a4a66b9a366bb6aed057b1e12808bf1aa5504b489a

Observation 9e52893b-8308-42cc-8316-5b90490d939a · inbound

EC-Diff: Fast and High-Quality Edge-Cloud Collaborative Inference for Diffusion Models cites this paper.

EC-Diff: Fast and High-Quality Edge-Cloud Collaborative Inference for Diffusion Models Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T17:05:44.750300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:05:44.750300Z digest=sha256:8993fdf0ac60f43e0e8a00ed8b40c8507b75bdd0120975534c3bf96ebac86eb1

Observation af7f09ac-e750-4c72-b5ce-553adb65a3f7 · inbound

Temporally Consistent Unsupervised Segmentation for Mobile Robot Perception cites this paper.

Temporally Consistent Unsupervised Segmentation for Mobile Robot Perception Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T12:02:57.566234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:02:57.566234Z digest=sha256:53cd4ecb37ca3f0205df9b937d279d5964a0633bc12b22c74ede7ca2c58cb1a9

Observation 812cb968-b47a-4e4b-9494-eb1ce7a8e4f4 · inbound

Boosting Visual Instruction Tuning with Self-Supervised Guidance cites this paper.

Boosting Visual Instruction Tuning with Self-Supervised Guidance Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:50:58.665472Z

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=2026-05-10T16:27:52.208827Z digest=sha256:416d11035c42819c157713322f64a1d30809ff983c11d6c527043cd4db85a4f4

Observation 6867b4d8-00b7-4455-9f46-94851cf2fd8b · inbound

OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction cites this paper.

OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-12T19:12:16.091691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T19:12:16.091691Z digest=sha256:b9e8276648a09c22be4254217177af44e6269f3fa0ac8c6022bed432e52b0321

Observation 7a4f8535-3014-45f2-bfd6-1be5aa0002ec · inbound

Adaptive Forensic Feature Refinement via Intrinsic Importance Perception cites this paper.

Adaptive Forensic Feature Refinement via Intrinsic Importance Perception Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:18:32.323390Z

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=2026-05-10T07:57:28.950520Z digest=sha256:d78243fc9a1096a1529691c75de0fd0aacfe8e112c513fdc4270430f351a913a

Observation e16ca380-6128-4361-94f5-35b054cce2d6 · inbound

IncreFA: Breaking the Static Wall of Generative Model Attribution cites this paper.

IncreFA: Breaking the Static Wall of Generative Model Attribution Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:36:01.490952Z

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=2026-05-10T05:35:46.381465Z digest=sha256:1e8791ee8005d352e5ff77a14c11887dba836909ecb72652be4b720f84cc56ef

Observation 40d3c56a-de1f-42ec-8ca2-571d492ec8f4 · inbound

LIFT and PLACE: A Simple, Stable, and Effective Knowledge Distillation Framework for Lightweight Diffusion Models cites this paper.

LIFT and PLACE: A Simple, Stable, and Effective Knowledge Distillation Framework for Lightweight Diffusion Models Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:38:05.159401Z

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=2026-05-20T05:37:18.888106Z digest=sha256:27f95720fa82a897579d1d2c162db1787a912ee1f235e58a45a4343eb41fef8e

Observation 04abb37b-3615-433d-8a6f-e1a332f24755 · inbound

LIFT and PLACE: A Simple, Stable, and Effective Knowledge Distillation Framework for Lightweight Diffusion Models cites this paper.

LIFT and PLACE: A Simple, Stable, and Effective Knowledge Distillation Framework for Lightweight Diffusion Models Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:34:02.803267Z

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=2026-05-21T07:30:40.797093Z digest=sha256:b01cce196c2bb779236d4ab0a15dacdb7e4bd886637ec6fe9b8141d7f86c6579

Observation 3c2895cc-5cb9-49e8-933c-409b23ad5920 · inbound

LIFT and PLACE: A Simple, Stable, and Effective Knowledge Distillation Framework for Lightweight Diffusion Models cites this paper.

LIFT and PLACE: A Simple, Stable, and Effective Knowledge Distillation Framework for Lightweight Diffusion Models Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:05:47.314751Z

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=2026-06-30T18:21:08.966824Z digest=sha256:b823caf209d9e463fc1538d93637b4ad15195f1dbc27f9805ad64b9e9bdc61fe

Observation b946743e-0d2e-459e-9219-0274c6bb4649 · inbound

RISE: Relay Inference and Online Scheduling for Efficient Edge-Device Collaborative Diffusion Model Services cites this paper.

RISE: Relay Inference and Online Scheduling for Efficient Edge-Device Collaborative Diffusion Model Services Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-03T22:19:00.465417Z

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=2026-06-26T23:38:08.990338Z digest=sha256:82ca6ed3c07cefa0226285d395e9afc3e4e788588fd7c0731adc431520e57418

Observation 8aa36f09-1586-4772-a61d-606b6982f597 · inbound

DynEval: Holistic Evaluations of T2I Generative Models in the Wild cites this paper.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-14T06:20:23.251121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:20:23.251121Z digest=sha256:b1febc88bbef84f081eb903b7bd36303a9463dbef2868608849849dcd7c5c6ed