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Paper Citation Record · LEDGER

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs

As of 14 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2506.05787.

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

pith.paper-citation-record.v1
2506.05787 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:17:17.863917Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T21:44:47.636912Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T21:46:42.559417Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ebd6a408-77b5-4c92-b811-b690bf1bca56 · outbound

This paper cites Qwen2.5-VL Technical Report.

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs Qwen2.5-VL Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:16.931877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:16.931877Z digest=sha256:d48bb8ee264c83062920f45bdd852a27a50b569f07c3971f06a44abbb63410b5

Observation 77936fc4-c253-46c7-a151-bae9430c7e99 · outbound

This paper cites Grounded multi- hop videoqa in long-form egocentric videos.

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs Grounded multi- hop videoqa in long-form egocentric videos

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:18.895134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:17:16.991104Z digest=sha256:ced93f55ddd00af46a44e65f4fc1cb2e895817b2ece69b078e1efa734b3efb10

Observation bb6c4bb6-bd45-47f3-aa1d-4a2e269afdae · outbound

This paper cites Egoplan- bench: Benchmarking egocentric embodied planning with multimodal large language models.

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs Egoplan- bench: Benchmarking egocentric embodied planning with multimodal large language models

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:18.837625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:17:17.065212Z digest=sha256:b94f3a6816acdbc0525ba50772e75cc366153009ca9e4ca6c21950fc73095d4d

Observation 2b4fd427-484a-40b0-b351-97fc5b2e991e · outbound

This paper cites Egothink: Evalu- ating first-person perspective thinking capability of vision- language models.

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs Egothink: Evalu- ating first-person perspective thinking capability of vision- language models

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:18.669276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:17:17.109460Z digest=sha256:e84d3e0b78b0ef71c38a3dff44eb2947d537a47f25786d6300ea50860c0d2349

Observation 12e356a4-6fde-41f9-96d2-f2dda9ad7c58 · outbound

This paper cites Amego: Active memory from long egocentric videos.

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs Amego: Active memory from long egocentric videos

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:18.458621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:17:17.161749Z digest=sha256:070ae1f9ad933d0109323c5eac2f4f45714b9236c4b9fa00aaf225f5fad4af50

Observation b5a8d896-9e7b-4f8b-98ea-797f0f9a0ee8 · outbound

This paper cites The Llama 3 Herd of Models.

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs The Llama 3 Herd of Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:17.214584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:17.214584Z digest=sha256:e8a1727503cbc24d6b67960092e57d890516fd0ee01140be9b18c0395474179f

Observation 48d545e1-e90e-4626-85f8-b7b0ea73850a · outbound

This paper cites Lita: Language instructed temporal-localization assistant.

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs Lita: Language instructed temporal-localization assistant

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:18.297147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:17:17.276458Z digest=sha256:b5cc474eed408e3321772917cc56c14b952c52dffc090475284a4314792ad9c3

Observation 5f1e08e6-2724-4f8e-9511-050f66dfeda8 · outbound

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

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs LLaVA-OneVision: Easy Visual Task Transfer

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:17.306251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:17.306251Z digest=sha256:77caa96a9e6b959a8b9742a34954618338452e99f381603a4ec995f360bc92af

Observation 91176ecb-c72a-4fcb-99e3-a88da9192cc0 · outbound

This paper cites Egoschema: A diagnostic benchmark for very long- form video language understanding.

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs Egoschema: A diagnostic benchmark for very long- form video language understanding

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:18.176446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:17:17.362153Z digest=sha256:3beb2c77a4edc30cc5283a037be5be34e74c130b7249ceeb9e168b93955c98a0

Observation 774a6b2c-af99-406f-9b2f-ea360eb6f438 · outbound

This paper cites Advancing Egocentric Video Question Answering with Multimodal Large Language Models.

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs Advancing Egocentric Video Question Answering with Multimodal Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:17.405246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:17.405246Z digest=sha256:900dc61d328f916c0e28e72cd5cc56253460b7af2396c3a0db0091b9105dd61f

Observation 2b7c6d39-8b81-48b1-bfc0-ba90502dfb84 · outbound

This paper cites Omnia de EgoTempo: Benchmarking Temporal Understanding of Multi-Modal LLMs in Egocentric Videos.

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs Omnia de EgoTempo: Benchmarking Temporal Understanding of Multi-Modal LLMs in Egocentric Videos

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:17.470112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:17.470112Z digest=sha256:74aae0833513889065ff839fe60f925ac01fe68e54242c85abdd8a9f550448c8

Observation 9be2a220-c8fb-407e-b465-0f72d7430153 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs SAM 2: Segment Anything in Images and Videos

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:17.540048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:17.540048Z digest=sha256:b8b9d3f16b4964ccb642241dde23847a3f473fa64f02d9bdb432d7b78df08729

Observation db37397a-99a4-4b89-a1ef-8f05e1286840 · outbound

This paper cites TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding.

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:17.607966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:17.607966Z digest=sha256:15bd66c83726c1b1f3414069d283bbb5f0a95f8580d9b9c37064ee80e58d169f

Observation 5bbc6e66-1f33-4eec-a119-b43a4071736b · outbound

This paper cites Action scene graphs for long- form understanding of egocentric videos.

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs Action scene graphs for long- form understanding of egocentric videos

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:18.074491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:17:17.670365Z digest=sha256:3afdc62e20cdd9396cd9e3114ecf61f074ccf29fd5825cd6d846ef814ec5bfde

Observation ec86de80-259e-4e91-b678-e1b0a80acb35 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs Gemma 2: Improving Open Language Models at a Practical Size

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:17.765331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:17.765331Z digest=sha256:e33b4ae62e5bf6d81eee767edef1ce6fdbeda033326b9f95c9d5563ddbc13d20

Observation 124428a9-3528-4ac4-a7de-a1c62531e500 · outbound

This paper cites Qwen3 Technical Report.

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs Qwen3 Technical Report

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:17.819501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:17.819501Z digest=sha256:5d19b07e732fc7edc4d76c972e783162945ccd6752f0a961cfddb96f9ac58ca7

Observation c1befbaa-7f4e-4627-a078-a06e67a9416b · outbound

This paper cites Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos.

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:17.863917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:17.863917Z digest=sha256:0fb34802cde5c42d266671874bf89c4ef0101742f41b109742b0ff209ee98262

Pith citing papers

Observation 031158b4-8164-4661-a239-df46c1f64ed8 · inbound

EgoSound: Benchmarking Sound Understanding in Egocentric Videos cites this paper.

EgoSound: Benchmarking Sound Understanding in Egocentric Videos EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-15T21:46:42.563537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T21:44:47.636912Z digest=sha256:8598c2dcb64cac88a558c2ce13437d186c270395ad8d68ec2458ac70206cab79