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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 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 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:32:53.366366Z

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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  • verified fuzzy0
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  • malformed identifier0
  • metadata mismatch0

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 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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T08:08:01.889675Z digest=sha256:3a30417eeb857323abe69a0d3bbc7f5ccc5178a62d748c649c0174988e9aeb5c

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

Resolution
verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T01:19:59.603343Z digest=sha256:bfa9413efb19c6cf5713ca549022bcf97165a860359ed3afb442962c83147120

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:32:53.366366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:32:53.366366Z digest=sha256:ffeb978f148bcef58be146548a6a5e9504a24e28e7516d5dbc05ba3c6c2fd61a

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:35:46.597000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:35:46.597000Z digest=sha256:7bca584979146b7d3f7ef759b848a55d099b3344322060ed7091a59063911484

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:29:30.067653Z digest=sha256:58d8ddc23cd4da9ac31c4727809cd40b93c8fabaeb1fefa6ab86d0af16baba55

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:58:17.121792Z digest=sha256:4bd958ed1f002e582fb69378281bb83cc9690eeb20b782327eea4b7ce1374442

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:28:33.205521Z digest=sha256:43eb81f5d35729cf2c5ec687c64e953b42d5250adc1596a9436b2e2a3a864d8a

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T15:30:29.933558Z digest=sha256:3e70e3f6755e6b0c86e3e5efa98e7a16f624dbef8ef363b9865668979e533be4

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

Resolution
unresolved
no resolver link, observed 2026-08-04T07:23:05.997667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:23:05.997667Z digest=sha256:e35cad02d1964ba89e3b0076ba182621d67385461ca668a2dfa05d5a5ab59930

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T00:54:53.789523Z digest=sha256:c2c2c5b4965218d3f4aae97d1b623f89d3cdf9588eab9d05a0918fbde112e6f7

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

Resolution
verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T19:43:57.298338Z digest=sha256:112f5c3cef0d24a7eea505d5a69b31820007635678dce52336b09cdfecc1c6df

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

Resolution
metadata mismatch
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T17:55:56.385801Z digest=sha256:e335423ccaa4c5ad11a52c3e803e8161dab31df6678156b5c7e4a0dbd52f52c8

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

Resolution
verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:50:48.559703Z digest=sha256:ac040768498bc5d4afc629f8d519d3b586f31a550bd241bce372fa3884aee94a

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

Resolution
verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:36:33.264166Z digest=sha256:31342e7677f238cee3abb94d042db2fa42a2c8b3b006aca48cbb81264725e56c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:04:31.302192Z digest=sha256:1f532c252e51dac3f4c0050a7162b9b705ba8d50f18a1c7100910478045bc182

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

Resolution
verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T14:10:27.416341Z digest=sha256:bcb93e7cf796b5e3c92ff6c1d3b05ab221790c73d2984cd9c8c55b6a4d10c37e

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T08:41:31.700367Z digest=sha256:40dcbafa1bc75d60518cab069a35788f69f26c9a79be88a3c3aead24963dda6d

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T19:29:47.356665Z digest=sha256:a3ad7dbdf158313eddaaa70d1e438327c79e02100f86fa77839163cb1bcea533

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:48:27.255331Z digest=sha256:10f099c698cc124f3fde47de3a4e1026371f0de25c0f3c7768486d8b55af2470

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:04:15.140313Z digest=sha256:f425b5d74cd8cdca7935e072722dc0ed38c5d8b9dd9668848b43084e7490ea8b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:32:53.187826Z digest=sha256:c92325a5988d09d65222656a4664eb995de8fd5d17f692c57041e7f264ecc36a