Paper Citation Record · LEDGER

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 15 inbound Pith citation observations for arXiv:2506.22624.

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

pith.paper-citation-record.v1
2506.22624 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:05:07.938967Z

measured 93 of 93 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:40:24.622372Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:09:55.141278Z

Reference resolution

78 of 78 outbound references displayed

verified exact2
verified fuzzy19
unresolved57
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7dc7beca-6e6d-4825-babf-beccf2672657 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:00.190511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25b4e56d-5bb3-444d-ab3f-8cff45ed19cf · outbound

This paper cites Qwen2.5-VL Technical Report.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Qwen2.5-VL Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:00.315457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03293463-6f2b-4777-a275-47bd62d18ecd · outbound

This paper cites Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:00.442051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 376c2248-2d23-4712-9212-1b6f5d56d96d · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:18.407551Z

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 80d85c8e-bfb7-480e-a611-264d3efe73ab · outbound

This paper cites Cheng, I.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Cheng, I

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:18.115855Z

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 89f6b5cd-a1d8-4709-ac63-e239b580dc92 · outbound

This paper cites Cheng, A.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Cheng, A

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:17.944950Z

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 b236546d-f0d3-4fca-9653-c338202a26f2 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:17.754130Z

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 44740271-a294-48cc-9ebf-c8dac74201b4 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:00.945471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06c92e87-8fc0-4f86-8c78-311fa1c86391 · outbound

This paper cites Fan, M.-M.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Fan, M.-M

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:17.541632Z

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 bed1fd0f-121f-4d79-b29b-e080aab63ce0 · outbound

This paper cites Enhanced-alignment Measure for Binary Foreground Map Evaluation.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Enhanced-alignment Measure for Binary Foreground Map Evaluation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:01.096230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ab4c526-4c19-4f4b-a279-36e45566b393 · outbound

This paper cites Fan, G.-P.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Fan, G.-P

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:17.422520Z

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 5b5a2a8b-34ab-4b29-9627-2b1c77dc12a2 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:01.282421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8f4875f-189e-4ff4-9fc5-97670d162bd9 · outbound

This paper cites Gemini 2.5 technical report.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Gemini 2.5 technical report

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:15.406544Z

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 ca555a10-b3cc-4c2f-950e-fa756798ce28 · outbound

This paper cites INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:01.481274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffc0aea7-c8f2-40fc-8241-960a9f7bab12 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:15.130210Z

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 93477e1d-e58f-442e-9b7f-7905c27c641d · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:01.737335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8f0a385-72e5-4b01-8780-05b4cbe14336 · outbound

This paper cites Huang, H.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Huang, H

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:14.928881Z

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 bbe0f0bd-4261-48fa-8bcb-9510bbbaab0a · outbound

This paper cites Kazemzadeh, V.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Kazemzadeh, V

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:14.674011Z

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 813ee955-bbd8-4cef-a268-555e9d26d956 · outbound

This paper cites Kembhavi, M.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Kembhavi, M

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:14.389215Z

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 5e71fdc0-4c76-4591-87b2-07caf5e6daf7 · outbound

This paper cites Kirillov, K.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Kirillov, K

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:14.228314Z

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 d69aabb9-d670-4429-a89a-ed838f84116c · outbound

This paper cites Kirillov, E.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Kirillov, E

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:14.162388Z

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 a5fa6c03-83ba-4dc7-a1d6-4f8adc587240 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:14.083484Z

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 eeb10d2c-24f3-4540-9e38-8f60648ec27c · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:13.977657Z

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 26551b81-b019-4df2-9089-3d5ef598e521 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:13.879159Z

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 08a73dea-31f8-4b50-9a5e-0b22ad18ea84 · outbound

This paper cites Li and Y.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Li and Y

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:13.775567Z

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 bc1d245d-35e5-46af-a574-77e7870aa15a · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:13.709924Z

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 b52a8d6d-1c93-461a-8105-af22f40a8d2c · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:13.584096Z

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 fb6451c5-b25e-4d00-91a0-582eaf0002cf · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Evaluating Object Hallucination in Large Vision-Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:03.760109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5110abff-78f2-4422-8c4c-bdf6d950b630 · outbound

This paper cites Liang, B.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Liang, B

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:13.494461Z

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 366f756d-e613-48ea-b10c-1f54f0ef0577 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:13.412935Z

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 115adc5a-fdac-44ed-bc19-86b36b5282bc · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:13.282809Z

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 0482ccea-967a-4af9-b385-b2ecf81ce0b5 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:13.164315Z

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 5a22f3c2-b504-4854-99e5-c28b068e3a94 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:13.087113Z

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 53a0d13b-7810-4167-986a-c36bbfa53bb5 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:12.946800Z

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 99cd89a7-178e-4e16-907c-4d2dc4543a2a · outbound

This paper cites Explicit Visual Prompting for Universal Foreground Segmentations.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Explicit Visual Prompting for Universal Foreground Segmentations

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:04.571713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84c20159-0c7a-48ce-8a47-abe3078e0d65 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:12.833752Z

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 2951a004-e108-4673-829e-ead5c545cf32 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:12.720399Z

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 86bf326a-10d8-4610-b57b-b1c1deefe17e · outbound

This paper cites Receptive Field Broadening and Boosting for Salient Object Detection.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Receptive Field Broadening and Boosting for Salient Object Detection

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:05:08.331611Z

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 f9a3ae7b-a4ec-466c-93c9-39d5d2c6bdab · outbound

This paper cites Mei, G.-P.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Mei, G.-P

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:12.617898Z

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 d4410dbf-64db-43a1-92eb-aff789d5857c · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:04.953524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b165d70-eecb-4472-a556-8a07c0c34f4a · outbound

This paper cites Gpt-4 technical report, 2023.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Gpt-4 technical report, 2023

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:05.017771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daaff96d-a2cd-4064-997c-9e8d431f174c · outbound

This paper cites Ouyang, J.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Ouyang, J

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:12.416379Z

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 fd50a310-66ca-4654-8744-4d4efcdf15f3 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:12.209479Z

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 cbdfed3e-2b1b-4ebc-9fea-4faba3014afa · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:12.019336Z

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 f20d9082-b47d-4020-958c-1dbd127e98a0 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:11.849203Z

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 7fe82e73-d740-4191-b0e9-d96ca5910031 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:05.414038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97d5a88b-e647-43a8-a159-383be9b11090 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:11.681487Z

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 a140b7dd-1963-4afd-8a63-e6abae0865d3 · outbound

This paper cites Rafailov, A.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Rafailov, A

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:11.534871Z

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 cb0f6f8f-08a8-4561-a2b4-2c7177dc7968 · outbound

This paper cites Rasheed, M.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Rasheed, M

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:11.380478Z

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 ba523420-a15e-4226-8ec2-c17a795003a3 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning SAM 2: Segment Anything in Images and Videos

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:05.729515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 757f367f-aea5-4bca-b087-08ab4b22b085 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:05.811967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5e515d4-b762-45d9-beca-ca53fbe46fa0 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:11.206635Z

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 75d5f02e-472e-482e-94e9-c49dc058c9bb · outbound

This paper cites Proximal Policy Optimization Algorithms.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:05.928652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9987584d-c8cc-4fc4-9a92-31abc180564b · outbound

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

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:05.995795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71cfac1f-1c5d-4198-8642-2dffaff6a5f3 · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:06.057656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e33c840-69b4-4a27-a03f-360eef4624a2 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:11.033454Z

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 a89573ef-52e4-46ce-9045-43942730105b · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:10.865873Z

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 d891fdbb-e9c4-4340-b99b-eb9b570e4a40 · outbound

This paper cites SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RL.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RL

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:06.287557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 911e1a4c-c050-450c-8372-f63fab161b66 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:10.700537Z

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 69d4dc70-1e4f-4c08-8247-8d2abb5dea18 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:06.442646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation affeea84-a165-4dfd-b83b-17ee1274a3ce · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:10.517019Z

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 7dadbe38-ea8c-431b-917a-0465bdd0b7eb · outbound

This paper cites mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:06.610830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a76b0b9-3ae7-4e61-af67-0e609236fce1 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:10.344784Z

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 e2a7cf4f-597b-4b70-bd57-effefa4178b3 · outbound

This paper cites Pix2Cap-COCO: Advancing Visual Comprehension via Pixel-Level Captioning.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Pix2Cap-COCO: Advancing Visual Comprehension via Pixel-Level Captioning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:06.775331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d19b9fa-8d57-451f-8152-3513d5016cc2 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:10.140694Z

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 2648d18b-9793-44e9-b855-1be7c3e09fbb · outbound

This paper cites Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:06.966364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6987020d-e079-4c73-a11d-a101e48bd1b1 · outbound

This paper cites Unified Unsupervised Salient Object Detection via Knowledge Transfer.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unified Unsupervised Salient Object Detection via Knowledge Transfer

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:05:08.151336Z

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 7b0e3e24-1022-4056-9714-2e758a7fc14e · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:09.946655Z

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 6692ba8c-894e-4d38-ae51-2a7b4eb52432 · outbound

This paper cites Zhang, P.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Zhang, P

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:09.785897Z

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 e37a2ab1-3435-43c6-976e-abf8becad9f3 · outbound

This paper cites Zhang, X.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Zhang, X

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:09.545506Z

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 773c2860-b542-4f6e-a3d2-2c71c3acce28 · outbound

This paper cites Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:07.431761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65793925-1609-41ce-8330-d2438413bb99 · outbound

This paper cites Bilateral Reference for High-Resolution Dichotomous Image Segmentation.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Bilateral Reference for High-Resolution Dichotomous Image Segmentation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:07.517794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46e694a4-02f0-4df3-a4ce-c26c43bdedca · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:09.345769Z

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 74e12274-9a3a-4387-81d5-b27135e47230 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:09.172584Z

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 35cd1f84-a5cd-45bc-b911-4ac214088c78 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:09.031541Z

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 e8d7591d-dd03-49b0-a8da-c10ebb336b30 · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:08.871347Z

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 f705fb45-5f53-4ed8-b062-c5dcb7e89b6f · outbound

This paper cites Zou, Z.-Y.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Zou, Z.-Y

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:08.712818Z

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 be68da25-f8c3-49ea-87f1-83e9d37d662f · outbound

This paper cites an unresolved cited work.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:05:08.528436Z

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.

Pith citing papers

Observation 6e4c2dfb-a5d4-4c37-9590-aaa7aa4c7f26 · inbound

OneThinker: All-in-one Reasoning Model for Image and Video cites this paper.

OneThinker: All-in-one Reasoning Model for Image and Video Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:11:26.509628Z

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 d009603d-e471-436a-a08f-6cf6bfb19429 · inbound

Grounding Everything in Tokens for Multimodal Large Language Models cites this paper.

Grounding Everything in Tokens for Multimodal Large Language Models Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:31:21.858937Z

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 42a8e0c2-8d4e-4560-9ce0-109ab909b33f · inbound

CamReasoner: Reinforcing Camera Movement Understanding via Structured Spatial Reasoning cites this paper.

CamReasoner: Reinforcing Camera Movement Understanding via Structured Spatial Reasoning Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:02:42.546134Z

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 0425aa8a-758b-4fd4-82b6-a490fbb76b0d · inbound

PhySe-RPO: Physics and Semantics Guided Relative Policy Optimization for Diffusion-Based Surgical Smoke Removal cites this paper.

PhySe-RPO: Physics and Semantics Guided Relative Policy Optimization for Diffusion-Based Surgical Smoke Removal Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:23:26.851591Z

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 e5c5ffc0-e27b-4d6c-a5ce-f95954fec128 · inbound

From Web to Pixels: Bringing Agentic Search into Visual Perception cites this paper.

From Web to Pixels: Bringing Agentic Search into Visual Perception Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:52:22.835766Z

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 34480fa5-a0d1-4ad1-9c44-7ab8a5547b53 · inbound

EARL: Towards a Unified Analysis-Guided Reinforcement Learning Framework for Egocentric Interaction Reasoning and Pixel Grounding cites this paper.

EARL: Towards a Unified Analysis-Guided Reinforcement Learning Framework for Egocentric Interaction Reasoning and Pixel Grounding Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:35:04.649311Z

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 b122e021-87b4-4e8d-8b21-cf855026b162 · inbound

From Failure to Feedback: Group Revision Unlocks Hard Cases in Object-Level Grounding cites this paper.

From Failure to Feedback: Group Revision Unlocks Hard Cases in Object-Level Grounding Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:43:38.872907Z

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 0beefd03-c983-4d47-8f8b-3d16e5353938 · inbound

ConceptSeg-R1: Segment Any Concept via Meta-Reinforcement Learning cites this paper.

ConceptSeg-R1: Segment Any Concept via Meta-Reinforcement Learning Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:19:46.744672Z

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 4e218475-fdce-4fb5-9bd6-fd84fcd0ef27 · inbound

Reason Twice: Segmentation via Candidate Discovery and Comparative Reasoning cites this paper.

Reason Twice: Segmentation via Candidate Discovery and Comparative Reasoning Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

Reference 86

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:47:30.593795Z

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 4b0469fe-4e32-4809-86dc-37bac88be12e · inbound

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models cites this paper.

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

Reference 184

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:09:55.143041Z

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 aeb08340-f578-4a72-811d-37b6b5ead7fa · inbound

InstanceControl: Controllable Complex Image Generation without Instance Labeling cites this paper.

InstanceControl: Controllable Complex Image Generation without Instance Labeling Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:15:45.115913Z

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 fabb9667-b9ff-43d1-96a4-6c21ec988b9b · inbound

DGSeg: Dynamic Gating of Semantic-Spatial Guided Predictions for Reasoning Segmentation cites this paper.

DGSeg: Dynamic Gating of Semantic-Spatial Guided Predictions for Reasoning Segmentation Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-11T13:38:03.546834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b4f2d61-e713-411c-b1bc-8bc5382f92cf · inbound

Actor as Its Own Critic: Unifying Region Understanding and Localization via CycleGRPO cites this paper.

Actor as Its Own Critic: Unifying Region Understanding and Localization via CycleGRPO Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-14T04:38:05.237334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 639507ed-9b7e-4705-962b-49046b2b9c0b · inbound

Reasoning-Guided Part-Level Visual Grounding via Reinforcement Learning cites this paper.

Reasoning-Guided Part-Level Visual Grounding via Reinforcement Learning Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-01T23:38:51.142831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb6095bd-e7df-4d00-ba3c-c8db8b8a89fa · inbound

Credit the Right Box: Marginal Contribution Assignment for Structured Visual Perception cites this paper.

Credit the Right Box: Marginal Contribution Assignment for Structured Visual Perception Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T00:40:24.622372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.