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Paper Citation Record · LEDGER

How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering?

As of 7 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2506.16450.

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

pith.paper-citation-record.v1
2506.16450 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:42:06.034751Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T19:05:26.015345Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T19:06:30.573744Z

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6205e0c4-e0c7-4c49-bbed-32e6cdeb5802 · outbound

This paper cites In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering? In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:04.642963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:04.642963Z digest=sha256:6cb72533081bbd79d519e675deaa83d8ba5d290aed1da5a40d083bf43b223654

Observation 66e37649-9b95-4238-ac0f-2a53b3d1b8c1 · outbound

This paper cites In: CVPR (2024).

How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering? In: CVPR (2024)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:42:08.394271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:42:04.817798Z digest=sha256:f1e25f317b6100bb11674cd95739bbb36f20c886c1db6afc463001a4037cb3b8

Observation 332f8ec2-52c3-4a17-829d-c8407ccc136e · outbound

This paper cites Streaming Video Question-Answering with In-context Video KV-Cache Retrieval.

How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering? Streaming Video Question-Answering with In-context Video KV-Cache Retrieval

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:04.915126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:04.915126Z digest=sha256:56a3433bef17fa6cc8a83a371b6a475ef8cbb6872333cadec171fa6f07814980

Observation ff9fe540-7453-4998-ad20-ed4b7f01a12c · outbound

This paper cites Ego4D: Around the World in 3,000 Hours of Egocentric Video.

How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering? Ego4D: Around the World in 3,000 Hours of Egocentric Video

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:05.007036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:05.007036Z digest=sha256:38e0254b158b7320b1ed43aca53116d064029cccd104b2cc61b42b758a989b4c

Observation 02b69ca2-102c-4252-afca-d18c13e564fa · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering? LLaVA-OneVision: Easy Visual Task Transfer

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:05.115153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:05.115153Z digest=sha256:0536d0073168ca8e9eb976dc1b879ae3cb794318ddeb20b6768fc563be8d8800

Observation 180a0352-b7fc-4242-a611-0101eb465c70 · outbound

This paper cites an unresolved cited work.

How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering? Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:42:08.105399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:42:05.264823Z digest=sha256:691d6b997513549fa4bc7d497ac22c836070079305ad7c00e312b5a6d79c1d5f

Observation a6d2109a-789d-4567-8e50-0c1ac1c10770 · outbound

This paper cites an unresolved cited work.

How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering? Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:42:07.913445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:42:05.354757Z digest=sha256:501230db753eb275fb8d7d2bf169bda33f37cc2729b53a3fcb2425c0ee19fc62

Observation aa21bac2-c9d8-4880-a8c6-06e7f268ed7b · outbound

This paper cites In: Ranzato, M., Beygelz- imer, A., Dauphin, Y., Liang, P., Vaughan, J.W.

How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering? In: Ranzato, M., Beygelz- imer, A., Dauphin, Y., Liang, P., Vaughan, J.W

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:42:07.607242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:42:05.526632Z digest=sha256:7ff396ca007eeb21ac1531ecccc98b4e8eb5dbe3a3e5a61cac8daa543b13b43d

Observation ddf64084-04f4-4260-8389-fbef50ca85f4 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering? Gemini: A Family of Highly Capable Multimodal Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:05.672849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:05.672849Z digest=sha256:8bec3506bc2dcd71ae897e97ad298a6efe54740b81504a0b4b3d241672a0dcb6

Observation cee4710b-13fa-45cc-ab82-6ad0f304e978 · outbound

This paper cites Organization of memory1(381- 403), 1 (1972).

How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering? Organization of memory1(381- 403), 1 (1972)

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:42:07.352929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:42:05.801135Z digest=sha256:9669c25574c4dfb1c6aa57ddbc3378976c28e7616727d5991f6ef1a922a0a823

Observation 26244bf5-0094-4a2f-a175-3efb65d83ac2 · outbound

This paper cites InternVideo2: Scaling Foundation Models for Multimodal Video Understanding.

How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering? InternVideo2: Scaling Foundation Models for Multimodal Video Understanding

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:05.964749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:05.964749Z digest=sha256:a65556fbbecb0ab62234072fbb9496e3041890b5566eeccae140d67067a639cb

Observation 585a0189-6a6c-4ccb-9797-a06ce8452a52 · outbound

This paper cites an unresolved cited work.

How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering? Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:05.998084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:05.998084Z digest=sha256:00091b341efef88b6105a0679f3a7d47be7f6450b180caf7ce895879fca14cc7

Observation e4b3c3df-9f57-4003-a1f1-73aab35ad4f2 · outbound

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

How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering? VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:06.011626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:06.011626Z digest=sha256:35d079f97386b13a86302590be4333b4364d0078f4d4826d9b80bf80e26f9964

Observation 61660969-f4d6-4453-a293-c4402d6c8a38 · outbound

This paper cites In: Forty-first International Conference on Machine Learning (2024),https://openreview.net/forum?id=FPlaQyAGHu.

How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering? In: Forty-first International Conference on Machine Learning (2024),https://openreview.net/forum?id=FPlaQyAGHu

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:42:07.116018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:42:06.034751Z digest=sha256:db51691647c3a9a6af1f4479b4987b492f1c99d9cb7dec678b66d165cd0f6e35

Pith citing papers

Observation 63c24f57-0046-4c73-84e3-e6dc721fa729 · inbound

Exploring Multimodal LMMs for Online Episodic Memory Question Answering on the Edge cites this paper.

Exploring Multimodal LMMs for Online Episodic Memory Question Answering on the Edge How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering?

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:06:30.576722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T19:05:26.015345Z digest=sha256:33abad63cb0492f7cce4e6950fa831e4df333ea24e49396f7b4936fbb1b73203