Pith. sign in

Paper Citation Record · LEDGER

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding

As of 15 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2608.10949.

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

pith.paper-citation-record.v1
2608.10949 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:41:18.342896Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

30 of 30 outbound references displayed

  • verified exact2
  • verified fuzzy4
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 926d380d-e889-4441-94a6-6223bc70b7cf · outbound

This paper cites Qwen3-VL Technical Report.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding Qwen3-VL Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.260265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.260265Z digest=sha256:4043609edc91b74aaeb68e84354d21749b7abfb05cbbe0a7b7f656090e42a7d2

Observation a1cebe94-514f-4c8d-91c3-26190ffea55c · outbound

This paper cites Streamkv: Streaming video question-answering with segment-based kv cache retrieval and compression.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding Streamkv: Streaming video question-answering with segment-based kv cache retrieval and compression

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:41:19.067845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T13:41:18.269603Z digest=sha256:52c036cba2ff1a050242f3da3d173299fd0ab5b7431c0b7f20c38137515c5324

Observation 0a28ddb3-19d6-4c3b-b438-6432bc1232cc · outbound

This paper cites Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.272347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.272347Z digest=sha256:81c72faa551fe94fd6b9b4db4455a28bd6d9f17f2444b6c9f95a3b05a2a4f2d7

Observation ab342a4c-a017-47cc-8330-806b0a4e7fa8 · outbound

This paper cites Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-12T13:41:18.961944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T13:41:18.276127Z digest=sha256:322a19187bf998355453bfee03ff61f13743f99b64d9a0a3727b11ebfd03c60e

Observation 98dbb522-71ca-425e-8847-629ee301d9dc · outbound

This paper cites More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.281795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.281795Z digest=sha256:42d451cf8de7ebfcf92d030793bd9d4d973e2f06e8e275c4dcbf238e2fb67f02

Observation e7b46061-5870-43c3-9c72-f23524518fe7 · outbound

This paper cites Thinking in streaming video.arXiv preprint arXiv:2603.12938,.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding Thinking in streaming video.arXiv preprint arXiv:2603.12938,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.284699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.284699Z digest=sha256:5e035f6184c6e8fec78da95adef2df1d9d0365ca14e73e78b9a4fde90f7b6608

Observation 5d9fc892-9d7c-46f0-ad06-54a620542ae4 · outbound

This paper cites From narrow to panoramic vision: Attention-guided cold-start reshapes multimodal reasoning.arXiv preprint arXiv:2603.03825,.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding From narrow to panoramic vision: Attention-guided cold-start reshapes multimodal reasoning.arXiv preprint arXiv:2603.03825,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.287201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.287201Z digest=sha256:b4e86aa77e29f56b61c92a62b9f74c79429c08b34dc2379ddcac3758cc367f9c

Observation d613dd20-b8ac-47c9-abcb-98a6b7bc44a4 · outbound

This paper cites Watch, Remember, Reason: Human-View Video Understanding with MLLMs.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding Watch, Remember, Reason: Human-View Video Understanding with MLLMs

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.289865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.289865Z digest=sha256:eb825a96f20e7e89c8ffc33e0dc87e7ac45cdb67db953de6598321bc10033fb9

Observation f39c948b-d36a-4df1-b9af-e742e4f5c2b1 · outbound

This paper cites LiveVLM: Efficient Online Video Understanding via Streaming-Oriented KV Cache and Retrieval.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding LiveVLM: Efficient Online Video Understanding via Streaming-Oriented KV Cache and Retrieval

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.292557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.292557Z digest=sha256:e9df3c4313996d66c1e1e3d258bb1302ecd9659abec76c732dbb50bbb22e17c5

Observation 467e1f73-893f-4c17-8c33-a2f2ca882ae0 · outbound

This paper cites Cognitive Memory in Large Language Models.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding Cognitive Memory in Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.295276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.295276Z digest=sha256:d21fbeb59103d3c82303457c469a71b57cc3373a85cd3b60c98879686c7bb4ba

Observation e664415a-eecb-4e23-9bc8-97e84d482d64 · outbound

This paper cites A simple baseline for streaming video understanding.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding A simple baseline for streaming video understanding

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.297989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.297989Z digest=sha256:8e96f6a42a121c7bab018f06a52be54b4cc47d4a8ff43e3b400f9ae228d27d93

Observation 6621e3a6-c0f0-4333-a277-a453b9263635 · outbound

This paper cites Towards a Dynamic and Fixed-budget Memory Bank for Efficient Streaming Video Understanding.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding Towards a Dynamic and Fixed-budget Memory Bank for Efficient Streaming Video Understanding

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-12T13:41:18.737565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T13:41:18.301746Z digest=sha256:33e9d8e584cda4bf9938a420fc1f45726c53a4cc64237b0ce810d9ae92afcfce

Observation 3c7e52cc-c906-400e-b98e-4059bff20dea · outbound

This paper cites MovieChat: From Dense Token to Sparse Memory for Long Video Understanding.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding MovieChat: From Dense Token to Sparse Memory for Long Video Understanding

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.304786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.304786Z digest=sha256:0c58d075a286c9ab261efda28460ca3713e446042e3bdb56a48351291228b873

Observation 402009d1-7de0-4d48-ae41-802b9f3878f9 · outbound

This paper cites Onevision-encoder: Codec-aligned sparsity as a foundational principle for multimodal intelligence.arXiv preprint arXiv:2602.08683,.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding Onevision-encoder: Codec-aligned sparsity as a foundational principle for multimodal intelligence.arXiv preprint arXiv:2602.08683,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.308685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.308685Z digest=sha256:7b0dcdfda2cde27f8434be98a1f60f5302ef2a702f9c15aaae4f3a9ef9a7d741

Observation 4f894802-cbb2-479a-a837-2516dd55ef9b · outbound

This paper cites Qwen3.5-Omni Technical Report.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding Qwen3.5-Omni Technical Report

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.310715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.310715Z digest=sha256:e5e336538932259674ced0fe4a54316b3c4817d768ac04bc53f6746733e70358

Observation 3dbb8b18-2297-4d87-977c-404964afb82b · outbound

This paper cites STAR: A Benchmark for Situated Reasoning in Real-World Videos.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding STAR: A Benchmark for Situated Reasoning in Real-World Videos

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.313401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.313401Z digest=sha256:b3cca8b0996f2220bff5f69e7a7a95ee4b25802cabcdfe1870f2cd7257fa0390

Observation 99926d73-898b-4527-aee8-a0b5e567742f · outbound

This paper cites Fluxmem: Adaptive hierarchical memory for streaming video understanding.arXiv preprint arXiv:2603.02096,.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding Fluxmem: Adaptive hierarchical memory for streaming video understanding.arXiv preprint arXiv:2603.02096,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.316272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.316272Z digest=sha256:a3f53caa81ab5fe1ffda6756c7ffa8ae646e9f8901e044e4d6d65e0788a13a93

Observation 5de72ed4-3b1e-43e5-81aa-8e337e78dddf · outbound

This paper cites StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.318833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.318833Z digest=sha256:977cf0f16454acf7db1dec0f34535cda85fd0b2fe4fb22377f314b05be229f0a

Observation 29b1fa53-0f43-4ecb-a1bf-f13b8aa445a4 · outbound

This paper cites CLEVRER: CoLlision Events for Video REpresentation and Reasoning.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding CLEVRER: CoLlision Events for Video REpresentation and Reasoning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.322273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.322273Z digest=sha256:2237c6d2580fa5f6c78b76ad700387e117fa7f612d018e2708aebf35e9480bee

Observation 9851ac21-f80c-4e78-9fc0-eed4630eb564 · outbound

This paper cites Memory in large language models: Mechanisms, evaluation and evolution.arXiv preprint arXiv:2509.18868,.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding Memory in large language models: Mechanisms, evaluation and evolution.arXiv preprint arXiv:2509.18868,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.327731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.327731Z digest=sha256:2684069fc924978d889438b3ca5de82af43e90bc3a5c7d1ef941b560fae023bb

Observation 41381c09-ebe1-42bd-a515-b018bf081605 · outbound

This paper cites HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.330361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.330361Z digest=sha256:39f2f7c67a0855e5e36f59f8ea94979c125c509b9f7871508d1c7f45d19d0963

Observation 2a5d28e1-bbf3-4168-b075-bbc0ab1929df · outbound

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

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.333627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.333627Z digest=sha256:0c98d779cffcbb8155af33c3a6439684189c197faf4944c5cd03e7277c6c3c1f

Observation d485687b-edc1-49ea-a8f4-b2df9a0002af · outbound

This paper cites An empirical study on parameter-efficient fine-tuning for multimodal large language models.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding An empirical study on parameter-efficient fine-tuning for multimodal large language models

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:41:19.051828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T13:41:18.336266Z digest=sha256:98a539cfccd9c9f9e99c96c44498f36b54076d8d2e67b393f01dbe39c3ffccb9

Observation 5f7ffbed-55c0-485d-86de-2473a4e3220b · outbound

This paper cites From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.339565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.339565Z digest=sha256:7472150a841c373462a0871dead88fd37435e4ca24bec23d866a18cc8a00c504

Observation 4498e27e-bc6f-4f69-9315-ba2ee8c90af6 · outbound

This paper cites Temporal distance, content similarity, and merge frequency determine event consolidation, while a spatiotemporal window stores recent observations.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding Temporal distance, content similarity, and merge frequency determine event consolidation, while a spatiotemporal window stores recent observations

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:41:19.043778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T13:41:18.342896Z digest=sha256:cd121d2528d7b5d858698f502408a250e92d2b3f13f58bcd10a4751124ef7337

Observation f28a5f30-cd14-4ed1-acbc-94f3bf4b851b · outbound

This paper cites Vismem: Latent vision memory unlocks potential of vision-language models.arXiv preprint arXiv:2511.11007,.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding Vismem: Latent vision memory unlocks potential of vision-language models.arXiv preprint arXiv:2511.11007,

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.325326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.325326Z digest=sha256:9710c1bdf2eebe7d07d7b675a95fec6bd0656b0908318d0f9cbc3ee792275b54

Observation a83ce916-a411-424a-91c3-c6d956fcd28e · outbound

This paper cites Cradle: Empowering Foundation Agents Towards General Computer Control.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding Cradle: Empowering Foundation Agents Towards General Computer Control

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.306813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.306813Z digest=sha256:b002cc4a5af9f8b56887c6cdbc13c8801602fcc6173181ff5acc29717468eb7f

Observation c8c77833-2295-4d9e-8f25-ec13a0c16f64 · outbound

This paper cites Scaling the long video understanding of multimodal large language models via visual memory mechanism.arXiv preprint arXiv:2603.29252, 2026a.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding Scaling the long video understanding of multimodal large language models via visual memory mechanism.arXiv preprint arXiv:2603.29252, 2026a

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.265663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.265663Z digest=sha256:e071449fc5fbe2d4a09c6994fa48bb370f9f3044e1bad1ba3be581f1c4ad7dec

Observation 31876af5-e8af-43d7-b583-0fa72d3fcca7 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:18.263135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:18.263135Z digest=sha256:9bc603b3085f2d6f68eb49511bd1978c1b912e41f7fe7082a6a665382823509b

Observation 5ec7a7b3-3b96-4d15-bdf7-0acf7f6473da · outbound

This paper cites Streamingbench: Assessing the gap for mllms to achieve streaming video understanding.

StreamFlow: Dynamic Memory Flows for Streaming Video Understanding Streamingbench: Assessing the gap for mllms to achieve streaming video understanding

Reference 2026

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:41:19.059737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T13:41:18.279236Z digest=sha256:a3f199bac304e3fa251daf7ba6068d4e537b3ebb115f85fcb9fc992ef8d70993

Pith citing papers

No inbound Pith citation observations are available.