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Paper Citation Record · LEDGER

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing

As of 18 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2606.27089.

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

pith.paper-citation-record.v1
2606.27089 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T04:59:12.294502Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

  • verified exact13
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 479749cb-2026-4995-b1d3-9d5f165a8b5a · outbound

This paper cites Fuhan Cai, Yong Guo, Jie Li, Wenbo Li, Jian Chen, and Xiangzhong Fang.

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing Fuhan Cai, Yong Guo, Jie Li, Wenbo Li, Jian Chen, and Xiangzhong Fang

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-26T04:59:12.294502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T04:59:12.294502Z digest=sha256:82bdc06438cec76b46d6d80d7c9563848bc080636ed3e87f21ffc5c59547abb0

Observation 9a3f46c7-3a3e-4159-ac29-7e29ed6cee9e · outbound

This paper cites Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer.

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-04T13:39:51.269937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T04:59:12.294502Z digest=sha256:9a734fd0ceef53a18f3e9f8dec64cd474d2b5f483bbc79649dc141e39bd1674e

Observation 501dbc91-8cdd-49ce-a3a5-bbb44d6291bc · outbound

This paper cites HunyuanImage 3.0 Technical Report.

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing HunyuanImage 3.0 Technical Report

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-04T13:39:51.277053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T04:59:12.294502Z digest=sha256:3ffc66959ba2eeb680033a3a4d6a1b9b65610d84117dbdace508fb716262accb

Observation 37bfc01f-92ce-4066-bd89-395025e787b6 · outbound

This paper cites OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation.

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:39:51.252294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T04:59:12.294502Z digest=sha256:eced6d28c65ce10304596fc912ee666636823215abbd86fe13ccd1c98c9e7e15

Observation 6ca4c458-5fb5-49fc-979d-be7f4e7f7cf0 · outbound

This paper cites Structural Pruning for Diffusion Models.

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing Structural Pruning for Diffusion Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:39:51.263767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T04:59:12.294502Z digest=sha256:6c969c25344f8d12e6b0573e1aef37bb551f7c71b396d09a6cb5ba5b97519726

Observation b237aa81-0865-43e4-8dc0-c5ca73a998ba · outbound

This paper cites X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again.

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:39:51.242262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T04:59:12.294502Z digest=sha256:e3e311c1fa4b6541ebc13909535ac03039408d0b456b58818430be032c6ff6c5

Observation cdb81c52-b928-491a-904d-09c8495777fc · outbound

This paper cites Distilling the Knowledge in a Neural Network.

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing Distilling the Knowledge in a Neural Network

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-04T13:39:51.257908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T04:59:12.294502Z digest=sha256:7e0dc09c3ce5a0f30481635bd4972c8f579bd057b77a7f8f314dffe31e0958c2

Observation 949433cb-7d7e-424b-994f-dccf1506c5a7 · outbound

This paper cites Diff-es: Stage-wise structural diffusion pruning via evolutionary search.arXiv preprint arXiv:2603.05105,.

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing Diff-es: Stage-wise structural diffusion pruning via evolutionary search.arXiv preprint arXiv:2603.05105,

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:39:51.266497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T04:59:12.294502Z digest=sha256:33d6714d601c6fc263398fc57276029dad47f7273f4a2a0ad4f98a6c3297b0f9

Observation 625c790b-e5ad-40ce-8048-2da5c2d45d29 · outbound

This paper cites On-policy distillation.Thinking Machines Lab: Con- nectionism.

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing On-policy distillation.Thinking Machines Lab: Con- nectionism

Reference 9

Resolution
verified exact
doi, observed 2026-06-26T05:08:59.888038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T04:59:12.294502Z digest=sha256:c9297fc7813a2693bd22669d42bade485e61ac27dfc0fe7e3d17abfabb192098

Observation d95a0639-9d72-4984-8813-5420d5d7265d · outbound

This paper cites Elastic diffusion transformer.

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing Elastic diffusion transformer

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:39:51.248508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T04:59:12.294502Z digest=sha256:6c044661b53666e319cad35995f106002f6d8e613eeb6f203fbf73e61447bc80

Observation 50fb8e56-a9cd-4429-ab67-284ca42b40f8 · outbound

This paper cites Revisiting Locally Supervised Learning: an Alternative to End-to-end Training.

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing Revisiting Locally Supervised Learning: an Alternative to End-to-end Training

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:39:51.280219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T04:59:12.294502Z digest=sha256:600437947f1350c6793b04c0801fa54e1b4a26c9dc2763f605cedccd05e1d20e

Observation b1ddc7d0-45b3-486b-add9-d1c69bb95d68 · outbound

This paper cites Qwen-Image Technical Report.

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing Qwen-Image Technical Report

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-04T13:39:51.254956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T04:59:12.294502Z digest=sha256:2314f071f851369d218df427d2c8ceb029d650a48715a4eb8ec2d110dc78139f

Observation ea3a71d1-37a1-4c88-8eac-7f06a99038a3 · outbound

This paper cites SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer.

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:39:51.273880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T04:59:12.294502Z digest=sha256:c3d1436f9ba52a8a741665aa1b628f2e429955817a92aa9977d76cac7b8e8269

Observation 9ae6baa5-066d-465d-9262-bf28d294f79a · outbound

This paper cites Amber-image: Efficient compression of large-scale diffusion transformers.arXiv preprint arXiv:2602.17047, 2026a.

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing Amber-image: Efficient compression of large-scale diffusion transformers.arXiv preprint arXiv:2602.17047, 2026a

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:39:51.260585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T04:59:12.294502Z digest=sha256:849dde29b83db03185ab315ce20245722317828d8cf748c678831bbe61666818

Observation d57ad258-6e86-4ed1-8bed-34a937bd5cb9 · outbound

This paper cites 2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching.

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing 2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-07-04T13:39:51.244817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T04:59:12.294502Z digest=sha256:1b3f027f63d2f9bf100d78472013f40b1101bc31ad191e9461e3e8c4ffe0335e

Observation e30572f1-083c-40c0-b5f1-6fae1022df8e · outbound

This paper cites arXiv preprint arXiv:2510.06751 (2025).

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing arXiv preprint arXiv:2510.06751 (2025)

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:39:51.238977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T04:59:12.294502Z digest=sha256:251894484902e09fa229b4641da2f81d9a5e5b2511b9fd8d1a0318ae24fc6709

Pith citing papers

No inbound Pith citation observations are available.