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Paper Citation Record · LEDGER

RVTBench: A Benchmark for Visual Reasoning Tasks

As of 20 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 2 inbound Pith citation observations for arXiv:2505.11838.

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

pith.paper-citation-record.v1
2505.11838 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:51:23.446353Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:16.976460Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:06:23.031057Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8e680066-1f75-4a95-a243-71fa7857e919 · outbound

This paper cites ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation.

RVTBench: A Benchmark for Visual Reasoning Tasks ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation

Reference 1

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source=pdf_text observed=2026-08-15T20:51:23.254343Z digest=sha256:607cd7665c7a5608f488a640b4f943d79c008f785ad126d96b00e026c3196926

Observation 34882888-5cec-4b6f-919e-4ef0d2094c8a · outbound

This paper cites One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos.

RVTBench: A Benchmark for Visual Reasoning Tasks One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos

Reference 2

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source=pdf_text observed=2026-08-15T20:51:23.260639Z digest=sha256:9aa57d93920c11469b3d924ca4d4e41301a97df9ccee0145482b336dbb4a3d50

Observation 12c5b776-0ac1-4bc1-af6a-dca2f5e25f46 · outbound

This paper cites Xmem++: Production- level video segmentation from few annotated frames, 2023.

RVTBench: A Benchmark for Visual Reasoning Tasks Xmem++: Production- level video segmentation from few annotated frames, 2023

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:51:23.266040Z digest=sha256:5fb6bb4141db0c77c70543cbefdd529ec09bd03de2c6133d87e0717a6fb60d20

Observation 7897e6b0-a00e-4187-b006-4e2760cabde0 · outbound

This paper cites Janus-pro: Unified multimodal understanding and generation with data and model scaling, 2025.

RVTBench: A Benchmark for Visual Reasoning Tasks Janus-pro: Unified multimodal understanding and generation with data and model scaling, 2025

Reference 4

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source=pdf_text observed=2026-08-15T20:51:23.271687Z digest=sha256:4f73652b47e519b271ea975d6ee74ae89bc08b90e9997fdae78ed3ed9e5cb435

Observation 805914a6-098d-40d1-b5bf-a4fb9b3b2701 · outbound

This paper cites Sam4mllm: Enhance multi-modal large language model for referring expression segmentation, 2024.

RVTBench: A Benchmark for Visual Reasoning Tasks Sam4mllm: Enhance multi-modal large language model for referring expression segmentation, 2024

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:51:23.276986Z digest=sha256:5a49bd4281a85ea88429860a500b23ceb2d72b99e6f1c1a9c690196d5f788c2e

Observation 422a5c2e-4f7b-4fa1-b54e-d0b46be65419 · outbound

This paper cites Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level.

RVTBench: A Benchmark for Visual Reasoning Tasks Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level

Reference 6

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source=pdf_text observed=2026-08-15T20:51:23.282593Z digest=sha256:88dba5faff808732962088ee0954a37cfb846a5e2b7bd8e946b2c453d11e52b9

Observation cbc2b7bd-64f1-40b5-a847-4636b91678cc · outbound

This paper cites Everingham, L.

RVTBench: A Benchmark for Visual Reasoning Tasks Everingham, L

Reference 7

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source=pdf_text observed=2026-08-15T20:51:23.289701Z digest=sha256:70545ecb83717dccf3e276bd591f517a2161edae7b9b47f98be78be4bca3add0

Observation d172bf3b-e681-4412-84d1-908fcb2b2f95 · outbound

This paper cites Digital twin: Enabling technologies, challenges and open research.IEEE access, 8:108952–108971, 2020.

RVTBench: A Benchmark for Visual Reasoning Tasks Digital twin: Enabling technologies, challenges and open research.IEEE access, 8:108952–108971, 2020

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:51:23.295590Z digest=sha256:3a77d8300cbca12528e225073af9cde5eb951b26379776396bdad2ec24be9ca9

Observation 63ce6d0f-a584-4b73-8131-2c060e0922cd · outbound

This paper cites Referitgame: Referring to objects in photographs of natural scenes.

RVTBench: A Benchmark for Visual Reasoning Tasks Referitgame: Referring to objects in photographs of natural scenes

Reference 9

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source=pdf_text observed=2026-08-15T20:51:23.301281Z digest=sha256:4f64e65e4b7a8013fb487cd5b7b2c86d7eef1539d82c47e4ca99c56c1fe64d96

Observation 42903a0d-c5dc-434f-9e9a-abdd7a535443 · outbound

This paper cites Segment Anything.

RVTBench: A Benchmark for Visual Reasoning Tasks Segment Anything

Reference 10

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source=pdf_text observed=2026-08-15T20:51:23.306481Z digest=sha256:5d12dd64508607811663269619b6701178a035c550313fb000a1b32be3bf65b5

Observation d704716a-fa1d-42b6-b31f-e0eef824911a · outbound

This paper cites Lisa: Reasoning segmentation via large lan- guage model.

RVTBench: A Benchmark for Visual Reasoning Tasks Lisa: Reasoning segmentation via large lan- guage model

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:51:23.311791Z digest=sha256:86c9283d294713e6aed3fd5e020faebf7ca6c19d206774bf9a6460faaea63076

Observation e4374edf-791c-4c0e-998a-00a51428e29c · outbound

This paper cites ROUGE: A package for automatic evaluation of summaries.

RVTBench: A Benchmark for Visual Reasoning Tasks ROUGE: A package for automatic evaluation of summaries

Reference 12

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source=pdf_text observed=2026-08-15T20:51:23.317126Z digest=sha256:ccca46a8188c619b9d7a6cc26ac71a25f862280a12bc4456ccf97da2329ac4e3

Observation 583d79b6-4ff8-4f86-a8ce-a89d419e66a1 · outbound

This paper cites Gres: Generalized referring expression segmen- tation.

RVTBench: A Benchmark for Visual Reasoning Tasks Gres: Generalized referring expression segmen- tation

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:51:23.322314Z digest=sha256:0e39fb8ae21eb7e732abb8e8dfed458a754b02061773a5c5445bd52ca31aa423

Observation 28c4ee78-8c3b-4378-972b-61ccd2fd1486 · outbound

This paper cites Improved baselines with visual instruction tuning.

RVTBench: A Benchmark for Visual Reasoning Tasks Improved baselines with visual instruction tuning

Reference 14

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source=pdf_text observed=2026-08-15T20:51:23.327859Z digest=sha256:8c253a02de2372729d4d5b32c4adf3a90e8e9ff74f072d3e787bbd159463fa4c

Observation ae2af742-7edd-4654-8d7f-e19283d5282e · outbound

This paper cites Martin, C.C.

RVTBench: A Benchmark for Visual Reasoning Tasks Martin, C.C

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:51:23.334078Z digest=sha256:29f71e6bcae58618cf41f4e02c4bc592489aa23fca10ab21ecbed4b23441ee30

Observation 2abda5ed-62e6-4589-9cf1-9152da8e5c90 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

RVTBench: A Benchmark for Visual Reasoning Tasks DINOv2: Learning Robust Visual Features without Supervision

Reference 16

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source=pdf_text observed=2026-08-15T20:51:23.339077Z digest=sha256:a06d6d8f725c091b7281d32a7694b5a2b2675bd6a00bd718f4d20e3273e0045b

Observation 7e3676ed-5d4f-4af4-a22a-bf0e101c5f3e · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

RVTBench: A Benchmark for Visual Reasoning Tasks Bleu: a method for automatic evaluation of machine translation

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:51:23.344661Z digest=sha256:1be35b6dc8ad0265d4ca286b075de8ac7afd4803f5f9aa898a584217336243db

Observation 6e35947e-a3ff-4c48-bf91-bbde11a1bb14 · outbound

This paper cites A benchmark dataset and evaluation methodology for video object segmentation.

RVTBench: A Benchmark for Visual Reasoning Tasks A benchmark dataset and evaluation methodology for video object segmentation

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:51:23.349898Z digest=sha256:c9930d0b6201eaf45c9e097da30888feb7523f6b0407438468459f77249c72cf

Observation a0e26df5-3a01-4e44-a9cd-d13b90858a42 · outbound

This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.

RVTBench: A Benchmark for Visual Reasoning Tasks The 2017 DAVIS Challenge on Video Object Segmentation

Reference 19

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source=pdf_text observed=2026-08-15T20:51:23.355634Z digest=sha256:1c8c0a28aa35b854e0a4356777c61111e750362c38a1987773225a2f7503b7b0

Observation 749cc0db-76fc-482e-86c7-82b27f89d329 · outbound

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

RVTBench: A Benchmark for Visual Reasoning Tasks SAM 2: Segment Anything in Images and Videos

Reference 20

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source=pdf_text observed=2026-08-15T20:51:23.361726Z digest=sha256:8f12505b5b87d22c55a5286ec79f12180363d33e4257738287542ae0176d4239

Observation 06228c88-94ec-4723-b1ee-26566f01bdfd · outbound

This paper cites Position: Foundation Models Need Digital Twin Representations.

RVTBench: A Benchmark for Visual Reasoning Tasks Position: Foundation Models Need Digital Twin Representations

Reference 21

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source=pdf_text observed=2026-08-15T20:51:23.368139Z digest=sha256:28a71fe59a19036c49630c636da9cd84fa19d29560fb0f1c21ccb21638360e04

Observation 62b0afb7-0921-484b-badd-43cd1bcd0375 · outbound

This paper cites Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins.

RVTBench: A Benchmark for Visual Reasoning Tasks Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins

Reference 22

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source=pdf_text observed=2026-08-15T20:51:23.374228Z digest=sha256:f6c97be61a6e761f752da786b3200ccb2679092ad0cabbd03cc21679faac12fb

Observation 7e55708a-603f-41ed-aa0a-36ed465d4690 · outbound

This paper cites Online Reasoning Video Segmentation with Just-in-Time Digital Twins.

RVTBench: A Benchmark for Visual Reasoning Tasks Online Reasoning Video Segmentation with Just-in-Time Digital Twins

Reference 23

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source=pdf_text observed=2026-08-15T20:51:23.380256Z digest=sha256:83f9f49506869c5fc95c1cac52962001d8b00e672d1604612b0994090e4baa56

Observation 42c786ed-fef0-4fae-ab8f-39b389c18581 · outbound

This paper cites Lawrence Zitnick, and Devi Parikh.

RVTBench: A Benchmark for Visual Reasoning Tasks Lawrence Zitnick, and Devi Parikh

Reference 24

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:51:23.386245Z digest=sha256:891a7e52964f51d474e6ebd192a9af220bd9046cf376dac63b30290199e9ea0d

Observation 7cf4adea-803f-4cda-8f0f-eccdb8d42e9c · outbound

This paper cites Llm-seg: Bridging image segmentation and large language model reasoning.

RVTBench: A Benchmark for Visual Reasoning Tasks Llm-seg: Bridging image segmentation and large language model reasoning

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:51:23.392298Z digest=sha256:cc0597a3cab7002a5dfb57e1fef6bf2c4372a9f6dd126ce150e1bf26b79e22f7

Observation 14a70f1a-4931-403f-8dd6-fad8a0633870 · outbound

This paper cites Segllm: Multi-round reasoning segmentation, 2024.

RVTBench: A Benchmark for Visual Reasoning Tasks Segllm: Multi-round reasoning segmentation, 2024

Reference 26

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:51:23.398548Z digest=sha256:e3c3309cbc775e25ad34f4018e71cf5676ebcef0afa8c667df6ce669507c360f

Observation 56a76897-c4e1-4fd7-b743-4b9ea84bbda0 · outbound

This paper cites Lasagna: Language-based segmentation assistant for complex queries, 2024.

RVTBench: A Benchmark for Visual Reasoning Tasks Lasagna: Language-based segmentation assistant for complex queries, 2024

Reference 27

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:51:23.404590Z digest=sha256:ad4cdea13ad8a38018311e66c92db62433e684fcd439de7612af5679ac79d2b9

Observation d02c3672-f246-43ac-8afc-3e7fd41b5990 · outbound

This paper cites Qwen2.5-Omni Technical Report.

RVTBench: A Benchmark for Visual Reasoning Tasks Qwen2.5-Omni Technical Report

Reference 28

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source=pdf_text observed=2026-08-15T20:51:23.410640Z digest=sha256:c88a0e852b9aff55b78252924d4e79c72a1ccc98b13106a1f69a859cdd3f72b5

Observation 03755c2a-6af6-4934-a85d-088efd0306c3 · outbound

This paper cites VISA: Reasoning Video Object Segmentation via Large Language Models.

RVTBench: A Benchmark for Visual Reasoning Tasks VISA: Reasoning Video Object Segmentation via Large Language Models

Reference 29

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source=pdf_text observed=2026-08-15T20:51:23.416348Z digest=sha256:4a8d9ce2dc7cd91be921be1e4eaa41e8706f79e13ea1126b52b0aa8399e482e2

Observation 991fbe76-f7df-4c96-96ff-6e76c5251d9d · outbound

This paper cites Depth Anything V2.

RVTBench: A Benchmark for Visual Reasoning Tasks Depth Anything V2

Reference 30

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source=pdf_text observed=2026-08-15T20:51:23.422083Z digest=sha256:4ae6adda88082655ee054bc65dfd82b7673b72e0a21e2e1a45363bd08638a740

Observation bd2367ed-de77-4e77-874c-ef2343081878 · outbound

This paper cites An improved baseline for reasoning segmentation with large language model.CoRR, 2023.

RVTBench: A Benchmark for Visual Reasoning Tasks An improved baseline for reasoning segmentation with large language model.CoRR, 2023

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:51:23.427809Z digest=sha256:5152d6af3de18640dbba3b275a4790605406d07dcc3797b2b0a48870059f269f

Observation e009d8a3-2fb4-4e60-ba33-5ddb3b359de0 · outbound

This paper cites Weinberger, and Yoav Artzi.

RVTBench: A Benchmark for Visual Reasoning Tasks Weinberger, and Yoav Artzi

Reference 32

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source=pdf_text observed=2026-08-15T20:51:23.435325Z digest=sha256:865baef57b14755976e6c2bbf25bad8a1b34ff3fb985d9b0cb69ae388e534b32

Observation 7d86e2f1-943f-4fa1-9aea-55f1a324d422 · outbound

This paper cites ViLLa: Video Reasoning Segmentation with Large Language Model.

RVTBench: A Benchmark for Visual Reasoning Tasks ViLLa: Video Reasoning Segmentation with Large Language Model

Reference 33

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source=pdf_text observed=2026-08-15T20:51:23.440766Z digest=sha256:2fb16b74e0e21e6d9c4f5f2ad6512a9534d4a746ced59aaf32d2870e09c7153f

Observation 1d6895ee-478d-40f7-a485-464f523808ce · outbound

This paper cites Scanreason: Empowering 3d visual grounding with reasoning capabilities.

RVTBench: A Benchmark for Visual Reasoning Tasks Scanreason: Empowering 3d visual grounding with reasoning capabilities

Reference 34

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raw_fallback, observed 2026-08-15T20:51:23.812351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:51:23.446353Z digest=sha256:6f5b34f19f97490fa4d6a2c06410b6f8169e7454d86f58bcc8b9edd7429493a5

Pith citing papers

Observation ab7aff1f-a7d5-44b9-82d4-6c5c1e4bc53a · inbound

Reasoning Segmentation for Images and Videos: A Survey cites this paper.

Reasoning Segmentation for Images and Videos: A Survey RVTBench: A Benchmark for Visual Reasoning Tasks

Reference 72

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source=pdf_text observed=2026-08-07T14:27:16.976460Z digest=sha256:578cbc80da5f6bbfc2f4e4ebc57abbad524b57ae3999570784c4c11e454f707b

Observation 9c38a73e-c019-4a1e-a51a-9686a1255dcc · inbound

Temporally-Constrained Video Reasoning Segmentation and Automated Benchmark Construction cites this paper.

Temporally-Constrained Video Reasoning Segmentation and Automated Benchmark Construction RVTBench: A Benchmark for Visual Reasoning Tasks

Reference 9

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local_arxiv, observed 2026-08-06T15:06:23.035823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:06:22.961694Z digest=sha256:06c540af971a58b2277736c7ef5e3f9fbfee6111a14c1bfefc24abd4aaa0a6ae