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Paper Citation Record · LEDGER

TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2410.19702.

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

pith.paper-citation-record.v1
2410.19702 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:46:21.300023Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:16:57.715387Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bc418ab9-203b-4948-a194-3c8b11d3d805 · inbound

TimeRefine: Temporal Grounding with Time Refining Video LLM cites this paper.

TimeRefine: Temporal Grounding with Time Refining Video LLM TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 23

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unresolved
no resolver link, observed 2026-08-11T16:57:35.850058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:57:35.850058Z digest=sha256:dd44fd2becddc3879eaacf8a3beb5ffe416052b3b116715e3d75656692317a31

Observation 97ab7361-9b0b-40e7-9f20-7f65a83d98de · inbound

VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling cites this paper.

VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 64

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verified exact
arxiv_id, observed 2026-05-18T04:02:43.587545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:02:43.261543Z digest=sha256:2f5c77ab310edada69aa954b84d957dfd8d3dcd526c94b0f36d349d3389dd36e

Observation 159f87b7-00c8-4b9a-ac7a-9274e28fa6f9 · inbound

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

VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 37

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arxiv_id, observed 2026-05-15T20:56:07.743281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T20:56:07.247122Z digest=sha256:6a9b5b84a53565614f402e2e35cb2edb15da6349656194fa563a397c436e896b

Observation d51c828e-d26d-4fee-aa85-ac33a77d699f · inbound

TimeSoccer: An End-to-End Multimodal Large Language Model for Soccer Commentary Generation cites this paper.

TimeSoccer: An End-to-End Multimodal Large Language Model for Soccer Commentary Generation TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 45

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no resolver link, observed 2026-08-16T10:46:21.300023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:46:21.300023Z digest=sha256:e71e21be2a53637a1f064b50f13384a72d65df0e7cafcdfb1f1aea25173a2166

Observation 0f173e3f-d7d3-4bb7-9dee-7e53bac642c1 · inbound

TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action cites this paper.

TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 51

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unresolved
no resolver link, observed 2026-08-16T04:17:40.292080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:17:40.292080Z digest=sha256:52709d2eb02b388abc4ad6e6122cd7f96c4d940a86213d7fd50275eedd55cff3

Observation e67742d6-2f81-4f32-8cbf-24c3b49d3656 · inbound

MLLM-based Discovery of Intrinsic Coordinates and Governing Equations from High-Dimensional Data cites this paper.

MLLM-based Discovery of Intrinsic Coordinates and Governing Equations from High-Dimensional Data TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 57

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unresolved
no resolver link, observed 2026-08-15T20:50:55.535699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:50:55.535699Z digest=sha256:84f25627cd444fafd63ba88fecc75aadbd48a0e4ad6917998b9317860e59a732

Observation 997cf40a-d098-4e74-9803-f8343e4597cb · inbound

Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency cites this paper.

Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 36

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unresolved
no resolver link, observed 2026-08-07T11:35:47.666720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:35:47.666720Z digest=sha256:c39f6c1901eaa071aaf6d68c91206af30b99d704df1625d26dfb0b169e78ac2e

Observation 4e725d3e-281a-4412-bc33-0675a6257fad · inbound

AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding cites this paper.

AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 104

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no resolver link, observed 2026-08-06T20:29:56.680339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:29:56.680339Z digest=sha256:97a31b65b9bfa4b8845a5c2b19897782b6da208464839217a4735aa1b3aecbf8

Observation e3ee6162-9ba8-4623-a6bd-2d0f5db2f5a9 · inbound

Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Temporal Grounding cites this paper.

Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Temporal Grounding TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 58

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no resolver link, observed 2026-08-05T22:54:33.231367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:54:33.231367Z digest=sha256:b53052ec69b5e4d95dd9704b6f4ffdc87daec2701c89a078a79c2441262f00d4

Observation a5502050-69e0-428c-8a3b-03e29de7de9a · inbound

EgoExo-Con: Exploring View-Invariant Video Temporal Understanding cites this paper.

EgoExo-Con: Exploring View-Invariant Video Temporal Understanding TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 58

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no resolver link, observed 2026-08-04T07:23:08.354942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:23:08.354942Z digest=sha256:eb464d83f25b2b77ab8e830b3a55ae27a6c2e0b0061229e906ec0e1578774f60

Observation 5c3f8b57-a5f9-4bc9-898f-fcaf12ce948a · inbound

VKnowU: Evaluating Visual Knowledge Understanding in Multimodal LLMs cites this paper.

VKnowU: Evaluating Visual Knowledge Understanding in Multimodal LLMs TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 113

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unresolved
no resolver link, observed 2026-08-03T20:23:09.387510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:23:09.387510Z digest=sha256:5a40d0fe1bfcfa4baa4fa1d4d936b98ffa5990b5a9af72b70bf445bec7183e2d

Observation baa7b7fe-03bb-40a5-a8a2-0fb24e0bece8 · inbound

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

OneThinker: All-in-one Reasoning Model for Image and Video TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-17T02:11:26.627257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-17T02:09:39.820651Z digest=sha256:80fd5a3e0ce555c4124d25548fde097d147d08615ca72c91f53f58bbe2fd8d96

Observation e0fb155f-e300-4ee5-a867-e80b8a875f35 · inbound

TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning cites this paper.

TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 67

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verified exact
arxiv_id, observed 2026-05-17T02:18:52.310729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-17T02:18:21.718091Z digest=sha256:76573e8e1be2e674a812cd974da23deedbcc5fc68b8a7a14dc55984c9e78fcc0

Observation 6ddec4d3-95ee-48a5-a744-89f4e1e3e8da · inbound

Video-OPD: Efficient Post-Training of Multimodal Large Language Models for Temporal Video Grounding via On-Policy Distillation cites this paper.

Video-OPD: Efficient Post-Training of Multimodal Large Language Models for Temporal Video Grounding via On-Policy Distillation TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 19

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verified exact
arxiv_id, observed 2026-05-16T08:40:46.392368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-16T08:38:49.075457Z digest=sha256:32902835dc17b868f74da8a129e0a6b66754ad895837577ed7c8cd8d5af2f693

Observation efbf7782-1266-499a-bde6-1ef39343e1c2 · inbound

Video-OPD: Efficient Post-Training of Multimodal Large Language Models for Temporal Video Grounding via On-Policy Distillation cites this paper.

Video-OPD: Efficient Post-Training of Multimodal Large Language Models for Temporal Video Grounding via On-Policy Distillation TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T05:14:24.676023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:14:24.676023Z digest=sha256:434ed240ace01fefe04fd9e761c7a73c314654de9f32d63e1965b81388bb00de

Observation 616db61f-0708-4d9d-b4f9-5467b24966ae · inbound

Bridging Time and Space: Decoupled Spatio-Temporal Alignment for Video Grounding cites this paper.

Bridging Time and Space: Decoupled Spatio-Temporal Alignment for Video Grounding TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 71

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verified exact
arxiv_id, observed 2026-05-11T00:15:52.911593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T18:38:16.204012Z digest=sha256:6df983e32d2e157620f7242f99516b21c1d2ac3e3e475121e27c1a949160ed2e

Observation dc5bf10c-afc4-4660-8df9-438a6e168374 · inbound

SiMing-Bench: Evaluating Procedural Correctness from Continuous Interactions in Clinical Skill Videos cites this paper.

SiMing-Bench: Evaluating Procedural Correctness from Continuous Interactions in Clinical Skill Videos TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 39

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arxiv_id, observed 2026-05-11T06:30:58.457792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-10T17:37:40.373211Z digest=sha256:232828b16fb54a30f148f4a3f67c909a3245e6218ca0c08d36d897ffbcfca31b

Observation 80dfd7e6-4987-4bb0-92f2-c69d73083948 · inbound

MarkIt: Training-Free Visual Markers for Precise Video Temporal Grounding cites this paper.

MarkIt: Training-Free Visual Markers for Precise Video Temporal Grounding TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 6

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verified exact
arxiv_id, observed 2026-05-12T00:46:13.722151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-07T14:10:27.416341Z digest=sha256:a9bae2bc4cd9187c4ef6c84e5cc5634533cf1d6a4d9ec8d7abf1cf9ee0c197ce

Observation f81d4d1d-90c9-4b7f-b36d-96c878701b03 · inbound

MarkIt: Training-Free Visual Markers for Precise Video Temporal Grounding cites this paper.

MarkIt: Training-Free Visual Markers for Precise Video Temporal Grounding TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 6

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verified exact
arxiv_id, observed 2026-07-01T08:45:34.796582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-01T08:41:31.700367Z digest=sha256:20294b583771c90554edcdd376ed9ffca5fd0f24da8a8f6b2b68676560a2e344

Observation dec28f3d-ec1d-4d27-ae77-e5c6a20a027b · inbound

EvoGround: Self-Evolving Video Agents for Video Temporal Grounding cites this paper.

EvoGround: Self-Evolving Video Agents for Video Temporal Grounding TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 31

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verified exact
arxiv_id, observed 2026-05-14T19:32:52.475211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-14T19:29:47.356665Z digest=sha256:03ee0f74f534b28f0797f03c7080023814a0834fb1e0dd37dd5f6891b1eb7c17

Observation 212aca7d-9bd8-4f19-b8f6-149238165a3d · inbound

Video-Zero: Self-Evolution Video Understanding cites this paper.

Video-Zero: Self-Evolution Video Understanding TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 51

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verified exact
arxiv_id, observed 2026-06-30T21:35:04.432794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T21:32:16.939563Z digest=sha256:8e1e8e07ddb908ea90f4cd3fc76a3c4ed224fa544f217671478113c070b44027

Observation baee4459-ff62-4346-ac17-0a7b67998065 · inbound

MLLMs Know When Before Speaking: Revealing and Recovering Temporal Grounding via Attention Cues cites this paper.

MLLMs Know When Before Speaking: Revealing and Recovering Temporal Grounding via Attention Cues TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 34

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verified exact
arxiv_id, observed 2026-05-22T07:14:42.429049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-22T07:13:43.716510Z digest=sha256:1c73e7148ab68b7559beee12047a452f4ff98e44a821332db040bd15e8a1f2eb

Observation b6449e2b-3713-43c5-8c3a-1ec12e3ba111 · inbound

Towards One-to-Many Temporal Grounding cites this paper.

Towards One-to-Many Temporal Grounding TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 19

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metadata mismatch
arxiv_id, observed 2026-07-02T12:16:57.717129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T02:11:48.455492Z digest=sha256:5534fd99530b1fde396cb5965ae537da00a1d6a059abbea0302dff6479ea0be8

Observation 09fdb61b-9e31-405b-a733-5435a63d754c · inbound

Continual Video-MLLM Adaptation over Evolving Domains cites this paper.

Continual Video-MLLM Adaptation over Evolving Domains TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 56

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no resolver link, observed 2026-08-01T14:37:48.193803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:37:48.193803Z digest=sha256:5293d2736e7d3e7d389fd678de1d28fb6cd0f094c65c536821894b55c46b54d6

Observation bd566c8d-0625-48e0-b6fd-950c062b82fc · inbound

AdaThinkV: Adaptive Thinking for Token-Efficient Video Reasoning cites this paper.

AdaThinkV: Adaptive Thinking for Token-Efficient Video Reasoning TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Reference 68

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no resolver link, observed 2026-08-04T17:24:16.112662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:24:16.112662Z digest=sha256:2b61233b55a97756dd2a7dcc1a8f9ba315a5256c607cf21eb46fb0e42d2f11cc