Pith. sign in

Paper Citation Record · LEDGER

Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

As of 9 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 2026-08-09T06:31:02.800959+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:d5e3d4055e63908ee2aacc4e5d2c35232768b48ac15fef65a170fda22d61637d

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:cc264554af1b0b4a271a828cbb96f0389856294c8bd682531ae53aef6ebefd00

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=sha256:24d23fb0317b40a0ec31e66b1fcfbbc0611b5e77ee544916355656f9e72df1dd

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=sha256:325d4991cd5284d7e18607875973e90bfdc6e3f24d41d0cb1282afdf9e4c7048

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:27:52.208827Z digest=sha256:15cd2a0b6a1cf1da4f53647682a28cf81f1f509f9ce46e34e806543c496cd752

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:d82a12bb6c71ac9187ad2901a83b96515393c96357226787ed55989496bfa963

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T07:57:28.950520Z digest=sha256:a57b805f7ed8f5e7fb3984558c08a4ae08cffe94fe776cf0964c1865e9f5339b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T05:35:46.381465Z digest=sha256:b64206f305e58c879a0d27d5c1b7238e96e30d81972a0df40995538e6543252f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T05:37:18.888106Z digest=sha256:141cd227f1b38daace221dec7500cb5a529692c3e843a5e6171a7fddb92ca9c6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T07:30:40.797093Z digest=sha256:7886b118b835e045c2e7e604ecff333e0a83fc6c0a83d494b197428ad77bfadd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T18:21:08.966824Z digest=sha256:5fbf476a60f159a32ddf38de9cd6cd788c79cb86f4e49613bc90721a5a58adde

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T23:38:08.990338Z digest=sha256:35bff20cd344744e241e35a231bad2b20e329cfa418fb529de2a39fceee282c2

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:edc6d7a5690e46a4bd14c8456f455480878606d5b2b2e6245238617ae29b93f4