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Paper Citation Record · LEDGER

Reward-Aware Trajectory Shaping for Few-step Visual Generation

As of 3 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2604.14910.

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

pith.paper-citation-record.v1
2604.14910 v3

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T11:43:55.499474Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-02T06:30:47.504484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:49:59.467826Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

55 of 55 outbound references displayed

  • verified exact31
  • verified fuzzy1
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dcb0a147-1f7a-4f74-a2b6-583f9bb7ff2e · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 1

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raw_fallback, observed 2026-05-19T13:23:06.730270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 23b32675-42b4-45e5-8ae2-b7e80a024205 · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Training Diffusion Models with Reinforcement Learning

Reference 2

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verified exact
arxiv_id, observed 2026-05-11T20:16:31.427972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 22a1e3f8-b6f5-4f6b-8c12-488ec6a44b93 · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 3

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raw_fallback, observed 2026-05-19T13:23:06.715065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 45999474-af19-4f5a-b293-38a0f5637c2b · outbound

This paper cites 8 Sana-sprint: One-step diffusion with continuous-time consis- tency distillation.

Reward-Aware Trajectory Shaping for Few-step Visual Generation 8 Sana-sprint: One-step diffusion with continuous-time consis- tency distillation

Reference 4

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verified exact
arxiv_id, observed 2026-05-10T11:45:21.230984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:71e72c4b842c8410b7085dd087a6ef18303d688d2d5be36a6fd5a4867ddaecb1

Observation 854fff78-462e-4e08-ab2e-ccf85d8d475a · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 5

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raw_fallback, observed 2026-05-19T13:23:06.719639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 6a0a049e-f57f-4fd3-9a97-44cf198b7530 · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 6

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raw_fallback, observed 2026-05-19T13:23:06.725403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:0207f7603543716f48308ae632bb7b4d6b377063cf398d28e4891e811e89182c

Observation 2b167e75-df42-43d3-8494-d732307e1a6d · outbound

This paper cites Senseflow: Scaling distribution matching for flow-based text-to-image distillation.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Senseflow: Scaling distribution matching for flow-based text-to-image distillation

Reference 7

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arxiv_id, observed 2026-05-10T11:45:21.220424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:deaf7b69fbb7e66ef29c8387ad8f6d8c410b6a1a9080e59fbb7f867a15f2a61a

Observation 60d55f2f-55e2-4532-b683-0ad65a5b8d21 · outbound

This paper cites TempFlow-GRPO: When Timing Matters for GRPO in Flow Models.

Reward-Aware Trajectory Shaping for Few-step Visual Generation TempFlow-GRPO: When Timing Matters for GRPO in Flow Models

Reference 8

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arxiv_id, observed 2026-05-21T21:52:31.656662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation cc82a782-f8cf-474c-906a-441d42b1984f · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 9

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raw_fallback, observed 2026-05-19T13:23:06.735229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:e4a2621325349d2dc494af5c114f6ba1b50f9b1bdf1e752df55b24df642613a9

Observation f00af9d1-f6b7-4bc6-a1cc-346d2bbf57f5 · outbound

This paper cites Goodhart's Law in Reinforcement Learning.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Goodhart's Law in Reinforcement Learning

Reference 10

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arxiv_id, observed 2026-05-10T11:45:21.284591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:69197d11a190811c2ff0c95cf3d7aa41e1680ef7bcc20378bf1c0fa8675f29db

Observation db47cca1-acdb-47c7-b52f-055dacddb7f4 · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 11

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raw_fallback, observed 2026-05-19T13:23:06.739922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:5495e18b68629036ddee3007e26cb347dd30d61a21d89ef59215068bd125ef5b

Observation dd68a5a1-5fb7-4cb8-833f-d3a8ff5da694 · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 12

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raw_fallback, observed 2026-05-19T13:23:06.745102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 5a3e1836-72e6-4354-bd6a-6be92e322107 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

Reward-Aware Trajectory Shaping for Few-step Visual Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 13

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local_arxiv, observed 2026-05-10T11:45:21.244993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:42393a8e6c6e708819ecbcf5fc9518d08e12f5f3e8a14d86f127c3e080fdde62

Observation 0fc3c63b-7e9b-48eb-8855-cd7d729171a7 · outbound

This paper cites Toward cognitive supersensing in multimodal large language model.arXiv preprint arXiv:2602.01541.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Toward cognitive supersensing in multimodal large language model.arXiv preprint arXiv:2602.01541

Reference 14

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arxiv_id, observed 2026-05-10T11:45:21.332196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:5b374b8cf36a7395d385cd2bb917ed403599e9e0ecac22893b9f8a86370b8817

Observation b77e20c1-86dd-4a3d-9708-aaa4beea0bd4 · outbound

This paper cites MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE.

Reward-Aware Trajectory Shaping for Few-step Visual Generation MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE

Reference 15

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arxiv_id, observed 2026-05-13T13:27:50.191417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation f76d1e3d-89a2-4454-a6cb-2885ad2a1a61 · outbound

This paper cites T2v-turbo: Breaking the quality bottleneck of video consistency model with mixed reward feedback.

Reward-Aware Trajectory Shaping for Few-step Visual Generation T2v-turbo: Breaking the quality bottleneck of video consistency model with mixed reward feedback

Reference 16

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arxiv_id, observed 2026-05-10T11:45:21.323492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:0c760e1cea28adff4cb11b408c57477ccc9128cbced0e0e3e56e0bbb069b79e6

Observation 21f6e445-b979-4c11-bcb6-54d9d7a7a70d · outbound

This paper cites SDXL-Lightning: Progressive Adversarial Diffusion Distillation.

Reward-Aware Trajectory Shaping for Few-step Visual Generation SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Reference 17

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arxiv_id, observed 2026-05-17T05:08:49.084339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 91f791a1-c687-4356-ab0a-be85516d16ac · outbound

This paper cites Flow-GRPO: Training Flow Matching Models via Online RL.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Flow-GRPO: Training Flow Matching Models via Online RL

Reference 18

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arxiv_id, observed 2026-05-11T18:45:17.156367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 595540b0-e454-4da8-b8a3-304a69867930 · outbound

This paper cites Improving Video Generation with Human Feedback.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Improving Video Generation with Human Feedback

Reference 19

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arxiv_id, observed 2026-05-13T15:30:03.116566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:8a7bbba9465319b947585efcc34a683f95317446e8465c4af7239e805cb050cd

Observation 1208b0dc-915b-416a-9f5c-9fd137732f9e · outbound

This paper cites Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models

Reference 20

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arxiv_id, observed 2026-05-13T10:26:23.772771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:1f71a702c8f393a35acd512f22ef232c651e7bf98ac752938dfe82e867d85283

Observation d170acc0-8d97-4e6b-bf83-406400ed4999 · outbound

This paper cites Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed

Reference 21

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arxiv_id, observed 2026-05-17T03:56:20.038756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:ecc833da12a1076f4ab700eb4bc076510a644cd569175fd5e6e2a58c70c94d49

Observation ad748a75-a236-407e-8d82-2217ec16503f · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 22

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arxiv_id, observed 2026-05-13T04:15:55.027720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:4204451dec415f927567f838ae82128ee3db76461456ae336797272d5cbf9faf

Observation 134cc777-1d54-4468-8a79-5f8c106c5a53 · outbound

This paper cites Enhance-A-Video: Better Generated Video for Free.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Enhance-A-Video: Better Generated Video for Free

Reference 23

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verified exact
arxiv_id, observed 2026-05-10T11:45:21.327503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:0b23450310ed284b92982c75279e11bd67f290381493758a9ee76a3f432a1c0d

Observation 380ce964-9627-4c90-98f4-ab2e0d054578 · outbound

This paper cites Video Diffusion Alignment via Reward Gradients.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Video Diffusion Alignment via Reward Gradients

Reference 24

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arxiv_id, observed 2026-05-10T11:45:21.314347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:a66dc1a2c08ade395d06966d2cb58ee1e33a08a264b448ca76c80a1e7e899674

Observation cc2c1e17-4845-4443-8190-2dbe4ac7074d · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 25

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raw_fallback, observed 2026-05-19T13:23:06.749185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:af15dc5126ef62b3dfa754f832939839fc0eef2e14f90b3a002bb6c6540c79d9

Observation ce2f432b-6e14-485f-9314-6654d601e7e3 · outbound

This paper cites Sequence Level Training with Recurrent Neural Networks.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Sequence Level Training with Recurrent Neural Networks

Reference 26

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arxiv_id, observed 2026-05-10T11:45:21.337291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:adcd0e48f380c30fd3dd7a0de2e759ea43ee69db7b8c6ca1b040fdf2ed5c8d3f

Observation d763d51d-84a9-480f-8034-c21d3e5f2db8 · outbound

This paper cites Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 27

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arxiv_id, observed 2026-05-10T11:45:21.309548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:a30a14ff55647be03a3025b4f1d18034e6fe75accc69c1519a6d2be5d4a22ffe

Observation 2d6efa52-791f-4e07-965a-754423e698c6 · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 28

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raw_fallback, observed 2026-05-19T13:23:06.809430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation e4539c33-1dc0-4fd8-91cb-90678460e5c4 · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 29

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raw_fallback, observed 2026-05-19T13:23:06.779032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:14fe5d2af3d271c6dc78ce5aab07571e6db747d8aa7d1c7c4a9356ec85b71f53

Observation 59b0ea4e-c367-4563-beb0-fba8cb673eef · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 30

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raw_fallback, observed 2026-05-19T13:23:06.813190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:911c3842f958c8cec53241ee267ac761e4b783fe17bc44656977f1b0b7d38b98

Observation c6abb18a-6298-4da6-be70-d05bb8fdb682 · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 31

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raw_fallback, observed 2026-05-19T13:23:06.753718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:f12f6d14f742a577576eb2e78807aca627ac45ba714c1830e0a4f12ff41eadde

Observation 8a875060-6be4-4107-ab1f-a627cd7ff0a0 · outbound

This paper cites RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories.

Reward-Aware Trajectory Shaping for Few-step Visual Generation RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories

Reference 32

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arxiv_id, observed 2026-05-10T11:45:21.342333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:3dc33e6584e9ec06e2b84757dce8ca6b9989b01396cade8318c7d19346eec2c7

Observation 755d8e89-3b22-4b59-b98d-eb782673332e · outbound

This paper cites Egoforge: Goal-directed egocen- tric world simulator.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Egoforge: Goal-directed egocen- tric world simulator

Reference 33

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arxiv_id, observed 2026-05-10T11:45:21.225506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:26e65acfc90abbeb16e95c6b88b025b05a849d0a4d10684c13be0af6bed44f44

Observation fc9a6bc3-649f-433d-9b65-1437048d2b54 · outbound

This paper cites Fine-grained preference optimiza- tion improves spatial reasoning in vlms.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Fine-grained preference optimiza- tion improves spatial reasoning in vlms

Reference 34

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arxiv_id, observed 2026-05-10T11:45:21.263446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:38f546d95e4621946d7b4045b3ec0238760f3cb163311131d39c644a31af6308

Observation f98a0a91-93f8-4b96-9e32-514543630dfe · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-05-19T13:23:06.800732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:6c679b4d48a550358502c23780da9e4532ab91ded3b71d6c0085dca4992868da

Observation 6252f762-79bc-4faa-ae01-dfde39c10ea7 · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-05-19T13:23:06.804507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:f2e7ba69a3d1ca263903ea894b4142d0fcfec5355e5bbc44bed53168d6a68d80

Observation b1db059a-06ee-4977-a266-a686fe2353ff · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-05-19T13:23:06.786923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:2c7268a9fc73bd8c908274f2c4d41b49f7b084e64dccef96bb3cd2f938614873

Observation a4fed2ef-e77f-4520-b127-82abb3ad4ed8 · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-05-19T13:23:06.791590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:133124fdddd297f3fa54e9754c25695bff7c15bebe5713da2f77f1ccc41ce2a0

Observation 202cfa58-6b24-4e67-8fc3-d4dc78642ea0 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-10T11:45:21.272243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:e74aeedeb39c268bd617208e4021883023f4d0bf7b180f5add7cf34ea250d1b5

Observation 3e265386-8d9b-44d5-ad1d-b65f99fdc5ce · outbound

This paper cites TAGRPO: Boosting GRPO on Image-to-Video Generation with Direct Trajectory Alignment.

Reward-Aware Trajectory Shaping for Few-step Visual Generation TAGRPO: Boosting GRPO on Image-to-Video Generation with Direct Trajectory Alignment

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-27T02:05:10.361398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:31fe61d261ee77f749d2c150ca3b830f74034856072ae74d616b7f81e52abb16

Observation e99c0526-03a8-45db-b2fa-ab03df5d7239 · outbound

This paper cites Pref-GRPO: Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Pref-GRPO: Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-10T11:45:21.209070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:1bbb6574e5a9ae6f3744d579aa16c620aad2bcb6cf1577ef45ec10fc6f719139

Observation 88740596-6f48-4921-ae35-c29f178f4c98 · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:30:48.951760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:af636e417cc49505a4cde5e73b5f34000213d986d73afc6217969c8419b0a194

Observation ec174258-2b56-4f30-9e98-37392a993187 · outbound

This paper cites Kingma, Tingbo Hou, Ying Nian Wu, Kevin P.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Kingma, Tingbo Hou, Ying Nian Wu, Kevin P

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T13:23:06.757645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:e98d37f6d94efb4feb91cf452ab2156516ec44ab34da9102f5e1fb9dedf09b05

Observation 37b10c5d-f47f-44b6-8e6e-6fc649870aff · outbound

This paper cites Stare-vla: Progressive stage-aware reinforcement for fine- tuning vision-language-action models.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Stare-vla: Progressive stage-aware reinforcement for fine- tuning vision-language-action models

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:45:21.279509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:a2f7228119da793c0e897e77c37569502c85c77e43824cdfcb139a5b1acc3976

Observation 00a0bf24-5235-4fb7-90da-1244b8661efa · outbound

This paper cites VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation.

Reward-Aware Trajectory Shaping for Few-step Visual Generation VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:49:14.981353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:3e1ff332114c4b6ba8c6bbca93afdd95c4e56a294e9aab92553f58a2ac1e9f96

Observation b24736e9-145d-4408-bd3a-83c7c7b5df8c · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-05-19T13:23:06.783179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:11c46e0b4265c12127b84b7d284a5ae4de250949cfe3a633278eab357022420d

Observation 51a55814-a69e-4d78-84f0-eb2ee9fcf3ac · outbound

This paper cites DanceGRPO: Unleashing GRPO on Visual Generation.

Reward-Aware Trajectory Shaping for Few-step Visual Generation DanceGRPO: Unleashing GRPO on Visual Generation

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:28:29.121023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:bbc0934862be8f2cdcb2c9817043d4fd6fbc23bb3c63d847e01b6a278866285b

Observation 76011690-e326-442c-b832-8b64f00a5fc6 · outbound

This paper cites Ipo: Iterative preference optimization for text-to-video generation.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Ipo: Iterative preference optimization for text-to-video generation

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:45:21.204442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:ced34e976fcb17acc8b43f8f70e78ee6428e8f3663fe8b718541f1c9456b0dd7

Observation 2b3cf72e-9530-4d51-804e-bad9cbcf756e · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-05-19T13:23:06.767249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:0f7e688d6e68166d00d74fdf7bd6b95aaea810d9bd71b9a3b5972c46bdcb36e6

Observation 1e3b9a47-e29c-46b2-b1a4-0b774d1fe64a · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-05-19T13:23:06.771069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:584cd6df5c6b761a5b11391dcea27ce0527e0db1928296434d991045fab5aa17

Observation 259082af-e875-47e8-bbfa-3209e148f27d · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-05-19T13:23:06.775054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:188ccad64d4da12d8b768b93a2e275a98679d3fecbeca8b1d0ff2465fe802e2a

Observation 73952748-ca57-4a4b-af8e-d49880863fe3 · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-05-19T13:23:06.816647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:b298d0f8a5f3bd67b992a8dfd0b42b3883a0cb3f5e48165866eef3e8c3e945ca

Observation ef7a52bd-6acd-431e-9574-a4a34fd8c195 · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-05-19T13:23:06.797187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:3f4a219c3b8cb784e43c258f986c0d8796e980f500ee26f91f9b9b0caf7aaf81

Observation 81b7f838-1c2a-4a01-b445-19d00d22cc38 · outbound

This paper cites an unresolved cited work.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-05-19T13:23:06.761916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:45bffe1b7ad1aff277077912201793f2bf7ba2b7aeee981f7a1f89580ee7b6a8

Observation 3dc8ab51-8e38-4a81-9a20-817baa9ba334 · outbound

This paper cites R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning.

Reward-Aware Trajectory Shaping for Few-step Visual Generation R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:45:21.293870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-10T11:43:55.499474Z digest=sha256:0d1b7cf27402344225766a966f5afd27b94631281951331eb516f47671e5fdb0

Pith citing papers

Observation c4c88be3-1228-446c-8246-35293ab9853f · inbound

Physics-Grounded Fluid Video Generation with a Simulation Dataset and Dual-Stream Optical-Flow Supervision cites this paper.

Physics-Grounded Fluid Video Generation with a Simulation Dataset and Dual-Stream Optical-Flow Supervision Reward-Aware Trajectory Shaping for Few-step Visual Generation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T02:49:59.467826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:49:59.467826Z digest=sha256:38556495cb6ea8b645834a4db5502e619054d7c2b20a5bfa7bc2a8bb9c719436