Pith. sign in

Paper Citation Record · LEDGER

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering

As of 6 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2604.08209.

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

pith.paper-citation-record.v1
2604.08209 v1

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:45:51.528645Z

measured 85 of 85 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

85 of 85 outbound references displayed

  • verified exact16
  • verified fuzzy28
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch27

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3dd37ea-a227-4982-8fa9-e140665a362b · outbound

This paper cites Qwen2.5-VL Technical Report.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Qwen2.5-VL Technical Report

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-11T06:11:01.501532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:7b8cdbe1fd00eaaab56c8108570e7e839a26df7c4396b5a48aef14a85a99dcec

Observation 64f8f17c-f9ed-4c2f-998c-b9e37d9acac2 · outbound

This paper cites arXiv preprint arXiv:2602.05847 (2026).

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering arXiv preprint arXiv:2602.05847 (2026)

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:11:01.922098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:e68ebf497a8b9e42e5846594abf73829e6cf4bda77336e02663431c95d9f4808

Observation 686f06e9-bf74-45bf-ba0f-7d467bf8cbf2 · outbound

This paper cites Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning?.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning?

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:40:56.172131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:86d909d0a1206833663602265892276dbde96ab36938e9b1b8391a50eb128525

Observation c840ee73-ba35-4522-983b-e7731a4432ce · outbound

This paper cites What do MLLMs hear? Examining reasoning with text and sound components in Multimodal Large Language Models.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering What do MLLMs hear? Examining reasoning with text and sound components in Multimodal Large Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:11:01.487231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:9bdb58146c87bfe94a0e6ed505e08bd897941034bee440ccb1f7f04ce7166fb8

Observation 9a3e7eae-2dfd-4362-b510-292102ac4e4e · outbound

This paper cites an unresolved cited work.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-17T09:09:20.816882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:6cb896f9be0f91a292ebe1b26a3a6516bf1c91589369712382b18e27c71e3f66

Observation 6ddaa5f5-f377-4693-bc70-95ffb544d2c2 · outbound

This paper cites Video-R1: Reinforcing Video Reasoning in MLLMs.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Video-R1: Reinforcing Video Reasoning in MLLMs

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:43:00.472655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:8e1eaf6be1f68160e94e34e3df135520d6b0648e497c69ad019f381d35f6589a

Observation b89c97ce-94dd-44e5-a5ce-111fc31ad292 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.820435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:4b0574e9248be3a795745a24598728fc023b777833819753615206d16e291911

Observation 1300de80-6329-4c94-90d2-31e05ee3700f · outbound

This paper cites The Llama 3 Herd of Models.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering The Llama 3 Herd of Models

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T06:11:01.436189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:57f85f88891c8c4d3b5bc1e54551c62388caf9ae00892bcf08373fcf684ec365

Observation 19493417-f083-4e90-ac6b-3d3122752e56 · outbound

This paper cites MLLM-based Speech Recognition: When and How is Multimodality Beneficial?.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering MLLM-based Speech Recognition: When and How is Multimodality Beneficial?

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:11:01.755138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:93a4416c571bbf7655ed2b991f95f11a8669fe9a0a698d619d6adb38e5a3f6ef

Observation 0a7c88e1-bba6-4090-a17a-cff3ba697201 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T06:11:01.635636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:32ae00fb790f239122e12d61403159eea13ff2ca9e5c73e52e431208c1cf4228

Observation 5c2d2914-15e9-4c49-8906-002719547019 · outbound

This paper cites VIDEOP2R: Video Understanding from Perception to Reasoning.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering VIDEOP2R: Video Understanding from Perception to Reasoning

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T06:11:01.447072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:3877fed532c27b17e71d86a006f01fd46bd5990391808d7a92c5ffd14314f5eb

Observation cec79c31-5f47-4c19-bb98-975e919408f9 · outbound

This paper cites In: Proceedings of the 63rd Annual Meeting of the Asso- ciation for Computational Linguistics (Volume 1: Long Papers).

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering In: Proceedings of the 63rd Annual Meeting of the Asso- ciation for Computational Linguistics (Volume 1: Long Papers)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.835796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:c6849b9e0d70fb3bf0a045db4575ffc3dc48b0f25f3bb661594496e23cb80ba8

Observation 2c85a7f3-9755-430e-a390-5a9abadc296b · outbound

This paper cites MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:11:01.470349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:55486803e8bc288bc1d97ee065e8db24cda15042db4dcbe76318f4bec0cb5f2f

Observation 773a995f-83d7-4e2b-9db4-24dc6ae322ad · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T06:11:01.401302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:177db939791022420b13cdb674c46d648872f186e866f46a3f075c077b342c81

Observation 42f7834d-f53a-4976-88ea-deb71feeef0a · outbound

This paper cites Omnivideobench: Towards audio-visual understanding evaluation for omni mllms.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Omnivideobench: Towards audio-visual understanding evaluation for omni mllms

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:11:01.716372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:e9e9161d1a572208b9f23ab605ecf061c96a33e94d7b2efa6f370175dfb7c03a

Observation c9098f84-ab77-4cf7-9a18-93b7b1ab0635 · outbound

This paper cites VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T20:56:07.931779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:9859f873ddada6a284329508dcc387c95880b5d6708752d68dc4f5120db4094f

Observation a6400fc9-149e-404e-aada-607223328885 · outbound

This paper cites A Comprehensive Survey on World Models for Embodied AI.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering A Comprehensive Survey on World Models for Embodied AI

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T01:14:24.976532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:214b8431e092d0f411496540599b353f6becea9f756a4016869cf382cb6a828d

Observation 6d1c70cb-d8a9-40b9-b5b8-ec7df293a230 · outbound

This paper cites Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:11:01.552354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:49a20265f1bd5e4e4f8fff1120c019bfd9c9a9ac6eca9e96ef8ea09f6fb5831e

Observation 527c92fe-5519-477b-95d3-5e761f46d507 · outbound

This paper cites an unresolved cited work.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-05-17T09:09:20.806917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:91aed4aeb2db505fe6dd5761c42b6e368510493b060f2d58eeafa6e6de2d3e85

Observation e4257cec-2666-438b-94a2-c930a4246794 · outbound

This paper cites In: Proceedings of the IEEE/CVF Interna- tional Conference on Computer Vision.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering In: Proceedings of the IEEE/CVF Interna- tional Conference on Computer Vision

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.794420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:1f19b3bcf4d5f6e7e18ad7b9c0d3806b1692623016d7a3c9aac47152dc9a7ebf

Observation 5c781189-f558-491a-a1d5-8b5e42eafa9b · outbound

This paper cites MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:11:01.948269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:5e8a2d4e973a82b208da467910fc905c17fefb931b34ea5058298191d7470716

Observation 85f3cddc-0090-401e-90c7-c7d52a50f9d2 · outbound

This paper cites In: European conference on computer vision.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering In: European conference on computer vision

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.791037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:56e88edfa60d767d2f5a6422f711f70d388621b9d400f33e37fd2ab305ae7e6f

Observation e86c5615-a0e8-42ed-8f87-bceb2a05f794 · outbound

This paper cites In: European conference on computer vision.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering In: European conference on computer vision

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.797512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:fb5b6dc58ca33dc7357e4064f694812769162180818c6382d4fdbbfd0448038e

Observation c0bb839e-7e3c-40e9-87d4-256071a937b4 · outbound

This paper cites Advances in neural information processing sys- tems35, 27730–27744 (2022).

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Advances in neural information processing sys- tems35, 27730–27744 (2022)

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.810407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:aec9f3a033b45d34ac0ec5857f72db23b020be55ffbd451d2cfbd28925e2dcc4

Observation 42bf9a0a-e6fe-4666-9229-1116fdd48231 · outbound

This paper cites Advances in neural information processing systems36, 53728–53741 (2023).

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Advances in neural information processing systems36, 53728–53741 (2023)

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.803636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:22eb4b8cbd0ef05c5140a99a853bb875deb71c4c8fe4849ac9e1a5b33df516c2

Observation 304d3e06-83d1-4f0a-a122-15c6836cb64a · outbound

This paper cites Videoworld 2: Learning transferable knowledge from real-world videos.arXiv preprint arXiv:2602.10102.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Videoworld 2: Learning transferable knowledge from real-world videos.arXiv preprint arXiv:2602.10102

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:11:01.622832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:45e51b44735680300935f1587f65a9406da344659a22dfd47eb263eb7ef59393

Observation ac808a82-ecbd-479b-ac0d-4caf02a88d0c · outbound

This paper cites Code Llama: Open Foundation Models for Code.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Code Llama: Open Foundation Models for Code

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T06:11:01.525761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:9dbac367aec85443f4d97b2da7f5c21c4886b0a3eb841e689eaf8ae142853791

Observation 5122570d-0fce-4e86-8fbd-937c83722bac · outbound

This paper cites MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T14:04:55.589197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:25eff804fb8abecd74a3e4675b7709053e1676bb3e7bece956eff4ed04cad02d

Observation a4cd287c-e86a-4b23-858a-24ccfd42c99a · outbound

This paper cites Advances in neural information processing systems32(2019).

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Advances in neural information processing systems32(2019)

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.832369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:0a7c5585341c32bfd9202f243f12e9968f313fbf28bcf666ec959b032b15a8da

Observation ea090e7d-c272-4b98-a5f2-7b9e3511f1ae · outbound

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

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T06:11:01.888577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:2f910955ebf68e0dacef92ecdf40c99d3f06e98df92864cdfe7d3e73b0428edc

Observation f3306480-1589-4f59-8496-c42d838b7897 · outbound

This paper cites In: Proceedings of the Twentieth European Conference on Computer Systems.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering In: Proceedings of the Twentieth European Conference on Computer Systems

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.888479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:1833b5fba275fc11c29ef95d816c9a94df7124f35b278b1511e176009a1ee3d7

Observation ee425bc9-8361-456e-ab52-44cb3794df44 · outbound

This paper cites In: International conference on information processing in medical imaging.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering In: International conference on information processing in medical imaging

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.910324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:538bf82f5804bf84a4e9044af61b3de9a5310d9bf2950cadde592c1dfb1a6582

Observation 7f8c1f8e-20ec-4c95-8ea6-5d50f7b9f9dc · outbound

This paper cites FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:11:01.987099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:9484e783ab0070408347d79785c00341669f6d8c5ae9d1cdd7c441cbc12a3be1

Observation d9523a86-f8ef-4a87-909c-6245370677d4 · outbound

This paper cites Zephyr: Direct Distillation of LM Alignment.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Zephyr: Direct Distillation of LM Alignment

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T10:13:57.632488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:ae10c2fe48b01a93b423cfe94cce9ef795b8379260e0c5f553b7628e7a8f1a3f

Observation 69dcb3b8-c775-4317-907e-a307734df64c · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.862298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:5532edb4135e6ebb8b3a874b65088661f002c82451bfdb17ca6a40cc17b3ca68

Observation e05cc118-f15e-4480-b5b0-048f11484f05 · outbound

This paper cites MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T17:21:50.902611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:cb3999012f772a9ec0bc3dbbbc40c03694f43e66c4bec18802d187619be1d481

Observation d46f95b8-3160-4838-8d79-94ee418448fd · outbound

This paper cites arXiv preprint arXiv:2511.17945 (2025).

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering arXiv preprint arXiv:2511.17945 (2025)

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:11:01.930866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:8f34045fd2601fbe80f929fd5d75eefb08d70adfda3173316952ca0c6bc3ce49

Observation a6afcdd0-8530-4bb8-864b-d8f053310c6c · outbound

This paper cites CoTasks: Chain-of-Thought based Video Instruction Tuning Tasks.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering CoTasks: Chain-of-Thought based Video Instruction Tuning Tasks

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:11:01.761451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:3ee36bba8b1d4b41fdc439e4e62e3052fd0df14b52b40d866170ef14cc635617

Observation 35d66e6c-ec7c-4bb5-8dac-5e3c9cdfb688 · outbound

This paper cites Reinforcement Learning for Reasoning in Large Language Models with One Training Example.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T19:51:05.238288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:0fe57f1db449bb21ca3c79ab5b7d001b3d4ed9be65dbdbab8ce32744a84382b9

Observation c96985cf-0bbb-451c-8d91-8089d17ae7b6 · outbound

This paper cites Visual jigsaw post-training improves mllms.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Visual jigsaw post-training improves mllms

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:11:01.832744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:c949415663cf78d0757b75dfb3331cc5a7e613d81700c3921393ab558d555027

Observation 474f5ec9-4a16-4db3-a011-eafee6b44254 · outbound

This paper cites Qwen2.5-Omni Technical Report.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Qwen2.5-Omni Technical Report

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-11T06:11:01.908568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:b8059a69c3625b5a7cd11f798c53874bba47c98e49c61110611fd0be81cab960

Observation c5408489-00c7-4cc4-ba11-5d1611a82e3e · outbound

This paper cites Qwen3-Omni Technical Report.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Qwen3-Omni Technical Report

Reference 42

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T06:11:01.745359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:6922b0124e0c2bc2ee1e96a2e647885a6320d2784006d040d1515bcb9a28fc4f

Observation 459916ef-375b-450f-968e-f2fa3573863d · outbound

This paper cites Seeing the Ar- row of Time in Large Multimodal Models.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Seeing the Ar- row of Time in Large Multimodal Models

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:11:01.882815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:2f25c6b389c8a69be8c1650f9edf7960c114fb94df7a5e86a30f0581402ca288

Observation fa0b371a-a256-428c-a217-26e41b245205 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:15:55.036587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:9684f97c6ef6c996bc1b18d4600c6f906f14f402f38abb6c539a00f531461525

Observation 98af9d15-73f8-481c-996c-b78977de4182 · outbound

This paper cites arXiv preprint arXiv:2601.07850 (2026).

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering arXiv preprint arXiv:2601.07850 (2026)

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:11:01.847794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:5f6e2d5260f4d40b5eb434a1643aff43476ed11a7ae3a4dfdce27dfcd178a80e

Observation eb2b66fd-abaf-4746-8756-22670cd6d650 · outbound

This paper cites Omni-Emotion: Extending Video MLLM with Detailed Face and Audio Modeling for Multimodal Emotion Analysis.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Omni-Emotion: Extending Video MLLM with Detailed Face and Audio Modeling for Multimodal Emotion Analysis

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:11:01.841793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:fce3e2e842e9b961395a73fea225533abdf74057245fdd10c0e071b2b680963e

Observation 48f64fe9-9131-45e2-8b4d-3a57bd8dfc5c · outbound

This paper cites HumanOmniV2: From Understanding to Omni-Modal Reasoning with Context.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering HumanOmniV2: From Understanding to Omni-Modal Reasoning with Context

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:11:01.853846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:9421b6137cecb586c92efca75e040d9721f43b1e6c69a5423515c163acc373c5

Observation a1ce5741-6c83-49bc-99eb-44c7dbbd6bea · outbound

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

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Ipo: Iterative preference optimization for text-to-video generation

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:11:01.898348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:c479d2dd61a615fa797a9062203c96bb94ef5d234b78f6406f64221ddc9ef09f

Observation 18cdcb34-7e74-499e-9f54-2a5abf065a12 · outbound

This paper cites Advances in neural information processing systems32(2019).

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Advances in neural information processing systems32(2019)

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.893842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:98014968adfc861d3ec7d2b4f7702a37484a7b94087af491f80c86d39a7a7fd7

Observation 837b9277-0b89-4cc1-a459-307e54c7e213 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.853651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:d47cb9b70515d5140e80c700a997bb95f329f4b870a59198f4a0700ff22d385f

Observation 985df446-3c9d-468d-ac83-8269544b793f · outbound

This paper cites Simulating the visual world with artificial intelligence: A roadmap.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Simulating the visual world with artificial intelligence: A roadmap

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:11:01.914637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:c8979f672936681730b99bd3147c85aa7ce47668cff800cb5c741630736d4587

Observation 5cfcfffd-d8cd-4a2d-8199-2a989393bbb3 · outbound

This paper cites In: Proceedings of the 33rd ACM International Confer- ence on Multimedia.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering In: Proceedings of the 33rd ACM International Confer- ence on Multimedia

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.841485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:c0cb9d22e6abde5bdd10697db2dcdb50840b2a35479afaa2b9053d0c8451694e

Observation 77f8d446-db33-42e9-a622-f969d2ba615c · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.844562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:c24f7e28824001af8550f751d9226693e4939913325af361a5cabb9dc421a883

Observation 3f9bf08e-ccce-42fe-a963-d6277d7686bc · outbound

This paper cites LLaVA-Video: Video Instruction Tuning With Synthetic Data.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 54

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T06:11:01.804129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:048622af04403d48096ea014a6dc3971c181e3753ef7ec0afb9f5bbef0a21109

Observation 4c1518df-8cc7-4070-9a0e-6f8054a6670e · outbound

This paper cites Unified multimodal understanding and generation models: Advances, challenges, and opportunities.arXiv preprint arXiv:2505.02567.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Unified multimodal understanding and generation models: Advances, challenges, and opportunities.arXiv preprint arXiv:2505.02567

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:11:01.814361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:e076db347243c097634a3dcc1758d7795ea8b22b7cbb0febb3848d7e66356448

Observation a35bda6a-7128-40f8-b307-a518e00bcfc2 · outbound

This paper cites Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

Reference 56

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:11:01.973351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:03a8c691c132a7e162d098c20d272ed9f497edd89a1e697874e3ee7a00192d62

Observation 08b27536-e955-42c9-acfe-6c7d6342aed7 · outbound

This paper cites Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models

Reference 57

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:11:01.790128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:cc31926add0700e032ac94928dad7120a4b746b1c9a27ac9669394a0e357bc72

Observation e7ffc328-ee68-4980-a7a4-236aaa190c62 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.896764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:f14bea329cd207af3a4625fd4942b597ba7b32517802fcbf0237054436f3b018

Observation e5f12948-cc20-449f-ba17-976c6e764282 · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering In: Proceedings of the AAAI conference on artificial intelligence

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.902001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:a7bdea49b269d7ad289125046df4c6642506a185c32b749253c6e7157657f922

Observation b117b5c4-b950-46dc-b280-d951130527aa · outbound

This paper cites Mlvu: Benchmarking multi-task long video understanding.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Mlvu: Benchmarking multi-task long video understanding

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:11:01.782232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:e8d4596da513962b41adc17204f05e14d0dc1b1b626510501b83ab3336cdebd3

Observation c662ec94-1d85-4837-845e-5ba796c8ba77 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-16T01:06:07.964742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:201cc3b4a2fce743e59a55f8d3de5a6ffc84f4b7f888a3e6cd70638097b229ea

Observation 96ef21e4-299a-4cb0-91ea-75d036a41367 · outbound

This paper cites The individual moves around the space, gesturing expressively while singing.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering The individual moves around the space, gesturing expressively while singing

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.907579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:5749c93793e2b0b09bf050f327cb941dcbc4d24ebdb0c0d6f4581560bf6fac58

Observation ee16962b-a195-46e9-95a9-25862a253139 · outbound

This paper cites - Visual State Changes: There are no significant visual state changes; the setting and background remain constant.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering - Visual State Changes: There are no significant visual state changes; the setting and background remain constant

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.879205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:77c8c7ec848377577455235d3331e0908ab07db3e59ec4c3e77f378d5a672275

Observation 4a98e540-6c9f-4e18-9acd-6bd117b407e5 · outbound

This paper cites - Static/Low-Dynamic Content: While the background is static, the person's dynamic movements and expressions add dynamism to the scene.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering - Static/Low-Dynamic Content: While the background is static, the person's dynamic movements and expressions add dynamism to the scene

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.882145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:742a2e8ab4f2ca2ec340fd9c445ccb3ec9efff225d6dd4442ddbf09e8e5d425e

Observation 9c544eaf-fa80-4433-800c-c14ba6c0cbe1 · outbound

This paper cites For example, the man is first seen reading outdoors, then in a bathtub surrounded by books, and later in a room filled with books and artwork.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering For example, the man is first seen reading outdoors, then in a bathtub surrounded by books, and later in a room filled with books and artwork

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.885471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:7210383dbf0ef597304b689a5aa686ce430110f968035a0a2d363bfa72435d59

Observation 4418009e-770d-419f-8502-51040ca8b46e · outbound

This paper cites an unresolved cited work.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-05-17T09:09:20.876079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:f150c6d6b0158afbe35c2add105a5a76500d8d747dd2301cc39268c7ae01f969

Observation f71548db-03d5-441f-b928-0a80b0432c4a · outbound

This paper cites The transitions between scenes do not provide a clear sequence of events that build upon each other.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering The transitions between scenes do not provide a clear sequence of events that build upon each other

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.873512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:75eca261f389be963b588fb963edbc9bf261539179d66208370ff5903f4457af

Observation fbf00699-c52c-4daf-bb25-11b9b93ffb98 · outbound

This paper cites an unresolved cited work.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-05-17T09:09:20.891173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:3f61b378046aec001a27b051f4a14e4af1d6edbe346e0d0342733a8277908ee5

Observation ec8772fe-c217-4274-a2e9-54ade4a02bc8 · outbound

This paper cites an unresolved cited work.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-05-17T09:09:20.904573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:3bc959481d0c0c8d4c63244ea0a4a6648ebc770a5fa56e3e886446e7bd1a32b5

Observation 7d263b89-63b5-40de-ae89-d2771133ccb4 · outbound

This paper cites an unresolved cited work.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-05-17T09:09:20.867397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:403d833bb0ca12005dae169b35b1d24831434422dfcc40c9e63062e9c35b19a2

Observation 562a202c-94d4-4bb9-a74d-d3bd893c535d · outbound

This paper cites The lack of a clear narrative thread suggests that these clips could be rearranged without losing their individual meanings.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering The lack of a clear narrative thread suggests that these clips could be rearranged without losing their individual meanings

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.870598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:8ba215da74ae1f06502cd341b3cbe9353b19430f08f584701e355f4d89f58b1e

Observation 768537a5-8f83-4af5-8a44-08c6b4cf51bf · outbound

This paper cites knelt down beside her.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering knelt down beside her

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:11:01.775861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:1c644549382fb037aabc41cef2ccd3bab97df479109eca869def85916dae1786

Observation 91eff431-09c9-4402-941e-0ab0c0388ba5 · outbound

This paper cites an unresolved cited work.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-05-17T09:09:20.800269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:ccf456dfbf1fb58a2909a1259d3c15ac181afa111794213caec6c986e6580597

Observation 9e54a2e8-353b-49ce-802a-fd4b16adce25 · outbound

This paper cites an unresolved cited work.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-05-17T09:09:20.829290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:2d57f665a9fbd474c6a42e1311590dc106b62d402c65d4b53f093b6ecc82ad1c

Observation 71163b60-8505-4b69-aa63-4e21ee589c5a · outbound

This paper cites Video Jigsaw.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Video Jigsaw

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.856627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:3ba33ea665a68e52a2d78d93adcfb3f88e6105780cdf8502375a0c3544d29666

Observation f4036592-a98a-4ab8-a5c7-20a6b3725764 · outbound

This paper cites Temporal Jigsaw Puzzle.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Temporal Jigsaw Puzzle

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.859382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:e1da3db12b486f4dbd9dd7244ddd1478daacf0f47bc0cd440ce05ab230ba20ea

Observation 7b795fa9-0568-44d7-a7e4-c888b7341e90 · outbound

This paper cites an unresolved cited work.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-05-17T09:09:20.864728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:15506ff80336ddd53ecf5638934a6521100907962244a477c1969c47e52bb384

Observation f3684226-8e72-4b1d-90b9-f50c72adee10 · outbound

This paper cites *Penalty:Give low priority to “A” if the audio is constant background noise, a repetitive music loop without progression, or silence.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering *Penalty:Give low priority to “A” if the audio is constant background noise, a repetitive music loop without progression, or silence

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.913280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:2c0e04514c33d93daf8c81d611a857d15c113bb17fdaf9da722812c9a93f65e4

Observation 3228b44e-c3ed-445a-86ee-c77d94d96680 · outbound

This paper cites V”if the visual evolution provides a stricter, unambiguous timeline (e.g., a silent movie with clear plot actions). *Select “A.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering V”if the visual evolution provides a stricter, unambiguous timeline (e.g., a silent movie with clear plot actions). *Select “A

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.847764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:f6de394e1d2efe29d611037ce42875c3d59a04971f4c68d5dd1ce6efd9ede8a5

Observation 2c235487-cdee-44d2-9c0d-a94959acbd40 · outbound

This paper cites an unresolved cited work.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-05-17T09:09:20.850735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:73fb2ae23be90907eca65fd4d2c1d636b57c86557dd3e3d282bd60c144028774

Observation 10a1e2af-ac8a-41c2-88cf-db6ade797a7e · outbound

This paper cites an unresolved cited work.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-05-17T09:09:20.899340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:7e8eb49d5a9833c690dddcf703304bd154ae41562d058587f84e86e83db10bb6

Observation dbb6bf7a-c4fe-4586-b870-dd024ccdd201 · outbound

This paper cites an unresolved cited work.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-05-17T09:09:20.838699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:ff5eb07acf21ded347db40a37475cb85fc3e252ad33de91a7fd4510cde4a223b

Observation 7cc1dee8-7708-47fc-bf67-63a7ed20059c · outbound

This paper cites OmniJigsaw.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering OmniJigsaw

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T09:09:20.826496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:b2d2b4aaa002954a8389380563b504a4b57ba25e378de73e254a17f701a38dbe

Observation bad803bf-d666-47ce-9cb4-09ba7cbf040a · outbound

This paper cites an unresolved cited work.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-05-17T09:09:20.814007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:85b89494934322688bf522a33c7b2694ecdecc30e4d76a0734890b650fb06e7d

Observation d3900433-1086-4cbc-aeda-ce07c3e9a480 · outbound

This paper cites an unresolved cited work.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-05-17T09:09:20.823566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:45:51.528645Z digest=sha256:5bf9aab032da318e7a6069cbdbe15be2dc123391bbe079747087e02765e82671

Pith citing papers

No inbound Pith citation observations are available.