Paper Citation Record · LEDGER

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training

As of 7 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2606.19004.

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

pith.paper-citation-record.v1
2606.19004 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T19:06:16.100762Z

measured 25 of 25 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 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

25 of 25 outbound references displayed

verified exact15
verified fuzzy0
unresolved4
parse uncertain0
malformed identifier1
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 04a4814a-d9a5-4a62-aff7-b479d3dd75cd · outbound

This paper cites AWS Price List Bulk API.https://docs.aws.amazon.com/awsaccountbilling/ latest/aboutv2/using-the-aws-price-list-bulk-api-fetching-price-list-files- manually.html, 2026a.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training AWS Price List Bulk API.https://docs.aws.amazon.com/awsaccountbilling/ latest/aboutv2/using-the-aws-price-list-bulk-api-fetching-price-list-files- manually.html, 2026a

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T19:06:16.100762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15e506a9-738a-4495-880a-c09e55965272 · outbound

This paper cites Emu3.5: Native Multimodal Models are World Learners.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training Emu3.5: Native Multimodal Models are World Learners

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T02:49:24.716057Z

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.

Observation 4f4eda4a-ac28-4f80-ad47-717f8f9c9ed1 · outbound

This paper cites Lobster: A gpu-accelerated framework for neurosymbolic programming,.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training Lobster: A gpu-accelerated framework for neurosymbolic programming,

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-26T19:09:47.714283Z

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.

Observation 2dbde3c1-555d-477d-a89b-deda0b49132d · outbound

This paper cites AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-04T02:49:24.703409Z

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.

Observation bdf6b2e3-acc8-42ae-bdf3-cb6e7183553d · outbound

This paper cites Rollpacker: Mitigating long-tail rollouts for fast, synchronous rl post-training.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training Rollpacker: Mitigating long-tail rollouts for fast, synchronous rl post-training

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:49:24.691483Z

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.

Observation 59b6018c-96a6-4d61-9d9e-cbd4b561faaa · outbound

This paper cites Generative AI Beyond LLMs: System Implications of Multi-Modal Generation.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training Generative AI Beyond LLMs: System Implications of Multi-Modal Generation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:49:24.710498Z

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.

Observation 6163d7f1-99b9-48b2-8885-20363cdcb19a · outbound

This paper cites 20 Jingkai He, Tianjian Li, Erhu Feng, Dong Du, Qian Liu, Tao Liu, Yubin Xia, and Haibo Chen.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training 20 Jingkai He, Tianjian Li, Erhu Feng, Dong Du, Qian Liu, Tao Liu, Yubin Xia, and Haibo Chen

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T19:06:16.100762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e7b2d6d-d0d9-4ed7-afe9-55bf8ded83f9 · outbound

This paper cites InProceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2(USA)(ASPLOS ’26).

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training InProceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2(USA)(ASPLOS ’26)

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-26T19:09:47.717073Z

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.

Observation a9a8ddfe-05ae-4a41-8464-b9b8ebf4e2de · outbound

This paper cites Taming the long-tail: Efficient reasoning rl training with adaptive drafter.arXiv preprint arXiv:2511.16665.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training Taming the long-tail: Efficient reasoning rl training with adaptive drafter.arXiv preprint arXiv:2511.16665

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:49:24.714177Z

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.

Observation 14540fbe-117e-41b0-8cdc-cb8a0ea5ce60 · outbound

This paper cites FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T02:49:24.700707Z

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.

Observation c941ec5d-4994-4fe4-b6f7-59b16d091f28 · outbound

This paper cites Branchgrpo: Stable and efficient grpo with structured branching in diffusion models.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training Branchgrpo: Stable and efficient grpo with structured branching in diffusion models

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T02:49:24.704479Z

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.

Observation 07fb69e1-a241-47d0-b29f-57e1524bf9bb · outbound

This paper cites ISBN 9798400723599.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training ISBN 9798400723599

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-26T19:09:47.719572Z

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.

Observation bd50ca64-2b42-46ce-a033-f29409effbdf · outbound

This paper cites SpotServe: Serving Generative Large Language Models on Preemptible Instances.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training SpotServe: Serving Generative Large Language Models on Preemptible Instances

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:49:24.719754Z

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.

Observation 1ded86ff-98f8-475a-bd21-f01842310228 · outbound

This paper cites Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gre- gory R.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gre- gory R

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T19:06:16.100762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08f0051b-709a-40ee-9edc-2d28e12e091d · outbound

This paper cites Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-04T02:49:24.688623Z

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.

Observation a2d0048a-f676-48be-be0c-099a6f55ba93 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-04T02:49:24.719746Z

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.

Observation 202dc239-36c7-4783-b300-4e066ca60253 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training HybridFlow: A Flexible and Efficient RLHF Framework

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-04T02:49:24.694883Z

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.

Observation 0e5b0c0e-a1cf-406f-a21f-d7981d74ed2b · outbound

This paper cites Laminar: A scalable asyn- chronous rl post-training framework.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training Laminar: A scalable asyn- chronous rl post-training framework

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:49:24.707410Z

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.

Observation 9bcb4746-94ca-4dfc-8ebf-c5cdb6f82076 · outbound

This paper cites Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:49:24.692270Z

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.

Observation 82d573a2-8693-43d9-86f4-a8629f5caf91 · outbound

This paper cites an unresolved cited work.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T19:06:16.100762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfa49392-0ead-4d56-951b-7b0e9df75a26 · outbound

This paper cites Rollmux: Phase-level multiplex- ing for disaggregated rl post-training.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training Rollmux: Phase-level multiplex- ing for disaggregated rl post-training

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:49:24.706500Z

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.

Observation ef51ce16-f3f6-4583-ac39-d59dff4f65c7 · outbound

This paper cites DanceGRPO: Unleashing GRPO on Visual Generation.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training DanceGRPO: Unleashing GRPO on Visual Generation

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-04T02:49:24.722576Z

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.

Observation 0153c7ee-f310-4135-b538-b9d04de194ed · outbound

This paper cites I am EdgeRunner AI.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training I am EdgeRunner AI

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T19:09:47.722214Z

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.

Observation 262627b2-7a15-4dd2-babc-b0441e9367f2 · outbound

This paper cites Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T02:49:24.717053Z

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.

Observation c3fe8fba-739a-4122-868e-55b62f35d39a · outbound

This paper cites 0 10 20 Iteration 16 18# of Steps =0 =0.5 =1.0 (b) Number of denoising steps.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training 0 10 20 Iteration 16 18# of Steps =0 =0.5 =1.0 (b) Number of denoising steps

Reference 25

Resolution: malformed identifier; no resolver link, observed 2026-06-26T19:06:16.100762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.