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Paper Citation Record · LEDGER

Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2402.11435.

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

pith.paper-citation-record.v1
2402.11435 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:49:43.544990Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T08:45:34.780741Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 253ded45-7cf1-49f3-9645-b0508957ab5b · inbound

Number it: Temporal Grounding Videos like Flipping Manga cites this paper.

Number it: Temporal Grounding Videos like Flipping Manga Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 55

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no resolver link, observed 2026-08-12T19:49:43.544990Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:49:43.544990Z digest=sha256:88bf87d6698a77d16211c059a8ddb3c61f36ab1079a8e68c7511939ed94f5310

Observation 52ba0e91-0b05-483b-a6b9-dbba00470632 · inbound

On the Consistency of Video Large Language Models in Temporal Comprehension cites this paper.

On the Consistency of Video Large Language Models in Temporal Comprehension Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 29

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no resolver link, observed 2026-08-12T17:07:00.819490Z

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source=pdf_text observed=2026-08-12T17:07:00.819490Z digest=sha256:79545d0ce687f4014224f08ead8b0deb391670173a8692d18b547f86fea4016d

Observation eddfcd95-5d65-4dcf-9e95-5ab4e02797b3 · inbound

Seq2Time: Sequential Knowledge Transfer for Video LLM Temporal Grounding cites this paper.

Seq2Time: Sequential Knowledge Transfer for Video LLM Temporal Grounding Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 29

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no resolver link, observed 2026-08-12T12:47:21.268328Z

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source=pdf_text observed=2026-08-12T12:47:21.268328Z digest=sha256:d66d7861de3cdc8e89c39a415562d0dc7b45ad93fc57edb162059b336603f5fc

Observation 2c3a4e16-f19c-4fa5-a8e2-f4714a42b5a1 · inbound

TimeMarker: A Versatile Video-LLM for Long and Short Video Understanding with Superior Temporal Localization Ability cites this paper.

TimeMarker: A Versatile Video-LLM for Long and Short Video Understanding with Superior Temporal Localization Ability Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 43

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no resolver link, observed 2026-08-12T11:27:56.175576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:27:56.175576Z digest=sha256:2adad9ad8680f7bfaed9e39458ab0cf0c12ad66a3bb4a2aca6ad8ec08b10099b

Observation 01b87ade-8e47-4abb-a7de-c04542646600 · inbound

STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training cites this paper.

STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 39

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no resolver link, observed 2026-08-12T06:02:33.976196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T06:02:33.976196Z digest=sha256:3311528a4aa87cd72c9f66bb751addffe598cc7aa6b32b2bc0f3ebdb0a760e6d

Observation 50b0f709-a179-45b6-8206-a2f2a0ad7f44 · inbound

TemporalVLM: Video LLMs for Temporal Reasoning in Long Videos cites this paper.

TemporalVLM: Video LLMs for Temporal Reasoning in Long Videos Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 33

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verified exact
arxiv_id, observed 2026-05-23T08:12:43.883000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-23T08:08:01.889675Z digest=sha256:4c6189e0789c8dbd3f4d915293879d5f6373d0ec0eb07855fd363f97488db325

Observation 585ad64b-340a-4552-a47e-b77f263abde5 · inbound

Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness cites this paper.

Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 51

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no resolver link, observed 2026-08-11T19:54:52.025847Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:54:52.025847Z digest=sha256:076c9884924cfd895850a056ee71ae30ef9aab421be695e206a7f20332ac64ce

Observation f76efc7b-8cc1-4d3b-85c2-035cd7590ecc · inbound

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

TimeRefine: Temporal Grounding with Time Refining Video LLM Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 14

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no resolver link, observed 2026-08-11T16:57:35.801324Z

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source=pdf_text observed=2026-08-11T16:57:35.801324Z digest=sha256:b6d0fbd849a04f0ed212df3b53ab688c480b12361a6af2214d549808365dfd24

Observation be01e423-1c7c-4337-b591-eb687d52509c · inbound

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding cites this paper.

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 110

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arxiv_id, observed 2026-05-11T01:19:59.790972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-11T01:19:59.603343Z digest=sha256:e6972ba6299452736ec0be0d32bad66d3b6b6f6cf9d50d491e5f1a7b89fe8d8a

Observation 0f4567e2-5e6e-4036-9683-4241c6b3734d · inbound

DisTime: Distribution-based Time Representation for Video Large Language Models cites this paper.

DisTime: Distribution-based Time Representation for Video Large Language Models Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 35

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source=pdf_text observed=2026-08-07T12:32:53.366366Z digest=sha256:592afdc0d4c485899d8313e598cb3c1e86365db11b935c0d28cd124b5d4c0944

Observation a10982dd-14f0-48e5-a377-08aea53acc44 · inbound

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

Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 24

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source=pdf_text observed=2026-08-07T11:35:46.597000Z digest=sha256:2b3bc7e3274baa9229283676b1ab1119075aa42470e1c43bcddbba88ef1b7a32

Observation 8be569d4-d419-4088-9988-07dad5799294 · inbound

MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering cites this paper.

MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 55

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no resolver link, observed 2026-08-06T23:29:30.067653Z

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source=pdf_text observed=2026-08-06T23:29:30.067653Z digest=sha256:c47b470df10d217a24865e898d7f5d0b715f9024229aa27bab6042e3d73537e5

Observation 5ff4291b-5505-4f60-b17f-e45a306f10fb · inbound

Strefer: Empowering Video LLMs with Space-Time Referring and Reasoning via Synthetic Instruction Data cites this paper.

Strefer: Empowering Video LLMs with Space-Time Referring and Reasoning via Synthetic Instruction Data Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 39

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no resolver link, observed 2026-08-05T10:58:17.121792Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:58:17.121792Z digest=sha256:a5e5aee3b705c970c2801c21480c327142af37f720ac862cca2f3a5d716a88eb

Observation 7efcc816-3e85-4a3e-9cc1-8dabf50b7804 · inbound

DATE: Dynamic Absolute Time Enhancement for Long Video Understanding cites this paper.

DATE: Dynamic Absolute Time Enhancement for Long Video Understanding Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 24

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no resolver link, observed 2026-08-04T19:28:33.205521Z

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source=pdf_text observed=2026-08-04T19:28:33.205521Z digest=sha256:a5728636c7eda0d3086ef7288d3a089cb9fd852dd07c92ccd14f49329af9df00

Observation ec1b9b00-2414-4faa-9b74-996c447d22e6 · inbound

VC-Inspector: Advancing Reference-free Evaluation of Video Captions with Factual Analysis cites this paper.

VC-Inspector: Advancing Reference-free Evaluation of Video Captions with Factual Analysis Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 28

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verified exact
arxiv_id, observed 2026-05-18T15:31:33.296197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T15:30:29.933558Z digest=sha256:c68886f942a2861c6ea07f761136c9cfda75e236c9cbdf235fbab64e42e2382d

Observation 3a1bc3f7-50ca-4392-8f64-b594b993cd5a · inbound

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

EgoExo-Con: Exploring View-Invariant Video Temporal Understanding Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 35

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:23:05.997667Z digest=sha256:907adb86039d2ac76c8f10aa12593020283741665c29b62f6c234a913c901a0e

Observation 6a904aa3-5c33-48a0-a3d9-cf921f28d043 · inbound

Detector-Empowered Video Large Language Model for Efficient Spatio-Temporal Grounding cites this paper.

Detector-Empowered Video Large Language Model for Efficient Spatio-Temporal Grounding Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 51

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verified exact
arxiv_id, observed 2026-05-17T00:58:46.574958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-17T00:54:53.789523Z digest=sha256:59bab5f348f199a61c874a6f118e9459d63d260d452dc32a1abd6852de565073

Observation 86fdd4ab-757e-4380-b271-54c50c4f88e5 · inbound

A Paradigm Shift: Fully End-to-End Training for Temporal Sentence Grounding in Videos cites this paper.

A Paradigm Shift: Fully End-to-End Training for Temporal Sentence Grounding in Videos Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 48

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arxiv_id, observed 2026-05-13T19:48:11.539247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T19:43:57.298338Z digest=sha256:095c7e0cfc5efdee964698ff7e4c5d0b6c1824b40deaf8c53507104d1d302caf

Observation af071c90-9781-42ad-89f7-8a1f14c485c6 · inbound

UniversalVTG: A Universal and Lightweight Foundation Model for Video Temporal Grounding cites this paper.

UniversalVTG: A Universal and Lightweight Foundation Model for Video Temporal Grounding Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 38

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arxiv_id, observed 2026-05-11T05:51:02.364614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T17:55:56.385801Z digest=sha256:84d615803dab5f75b154ae94b4d5762e6f5fe319eabb3002f62d83e7bb6b2c72

Observation dd9d2065-75fc-4b65-8438-46bf554faede · inbound

How Should Video LLMs Output Time? An Analysis of Efficient Temporal Grounding Paradigms cites this paper.

How Should Video LLMs Output Time? An Analysis of Efficient Temporal Grounding Paradigms Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 22

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arxiv_id, observed 2026-05-11T08:05:58.914862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:50:48.559703Z digest=sha256:f38bab23e4bb94413d9bab127e62e4c56044f3757757bdb6b642a31a03dd14aa

Observation 4021cbe0-5adb-4cb8-9565-36d55d08bf83 · inbound

Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey cites this paper.

Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 38

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arxiv_id, observed 2026-05-11T08:30:57.163123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:36:33.264166Z digest=sha256:b37102768920ea74b72badb7a1745333e42e0a55a4d3c63d89d0d6e4b3922a31

Observation b14dd2fa-b7d8-4e7a-afc2-dc5e2c459a8d · inbound

Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey cites this paper.

Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 64

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no resolver link, observed 2026-07-12T22:04:31.302192Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:04:31.302192Z digest=sha256:2a67e75c09c9409884066fa8234fd848e3fe6ce3f7f6b4d8fb8953c0d73080dd

Observation a0cdbebb-4abd-40b6-8881-85142a3cb4b5 · inbound

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

MarkIt: Training-Free Visual Markers for Precise Video Temporal Grounding Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 52

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arxiv_id, observed 2026-05-12T00:46:13.691919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T14:10:27.416341Z digest=sha256:58a50e996459d67c008c65b137ec5a681c763dcb0f2c374ff38438c550c08a08

Observation 39369fc2-1877-4b2d-8361-27fbb69b7a60 · inbound

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

MarkIt: Training-Free Visual Markers for Precise Video Temporal Grounding Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 52

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verified exact
arxiv_id, observed 2026-07-01T08:45:34.782509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-01T08:41:31.700367Z digest=sha256:bc548d244f58efc884d84162f216498776615cb83168bceba23cbc20ac202366

Observation dd8027fc-bece-45dc-9c25-dc3a93b49ead · inbound

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

EvoGround: Self-Evolving Video Agents for Video Temporal Grounding Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 47

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verified exact
arxiv_id, observed 2026-05-14T19:32:52.443094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T19:29:47.356665Z digest=sha256:90f055bee0e7a13bcb35eabc5f00d87518eb5d9718804eba51c4e2d09a2007b7

Observation 3281bb20-1329-43e1-aeb2-697bf9968d63 · inbound

Parallelized Autoregressive Decoding for Omni-Modal Dense Video Captioning cites this paper.

Parallelized Autoregressive Decoding for Omni-Modal Dense Video Captioning Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 43

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no resolver link, observed 2026-07-12T05:48:27.255331Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:48:27.255331Z digest=sha256:0f22db86b7f3ca71119b72b63f3cf1e4c60cef8d0e896c1981f7318f217b2abd

Observation 7897806b-4c5e-406a-9871-050898220aa1 · inbound

TimeLens2: Generalist Video Temporal Grounding with Multimodal LLMs cites this paper.

TimeLens2: Generalist Video Temporal Grounding with Multimodal LLMs Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 2024

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no resolver link, observed 2026-08-01T18:04:15.140313Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:04:15.140313Z digest=sha256:0d7a428e34530217480e638ce3eb65569e49ba63531e38527d80d0b4e3e4238f

Observation 47ea5388-d49a-40d0-b310-3eabdc9ff1eb · inbound

TimePLE: Rethinking Temporal Representation for Video Temporal Grounding cites this paper.

TimePLE: Rethinking Temporal Representation for Video Temporal Grounding Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 25

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no resolver link, observed 2026-07-31T23:32:53.187826Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:32:53.187826Z digest=sha256:c58cfc714e161c8263dea266561c8de80070f14d4f9b8392f4009b0d13a8ef54

Observation 1b6e6aad-a810-4233-808d-653eef6b5a3e · inbound

Your VLM Already Knows When: Training-Free Temporal Grounding by Asking Yes or No cites this paper.

Your VLM Already Knows When: Training-Free Temporal Grounding by Asking Yes or No Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 21

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no resolver link, observed 2026-08-12T00:13:21.312072Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:13:21.312072Z digest=sha256:264e7686b81bcbac8d464350f738a0b4a05a58976fb4cb4499d9a5487838a253