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Paper Citation Record · LEDGER

HD-EPIC: A Highly-Detailed Egocentric Video Dataset

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2502.04144.

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

pith.paper-citation-record.v1
2502.04144 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:51:40.469649Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:09:35.177453Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • 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 6b2dc4de-d3ef-48d2-b925-a88263011032 · inbound

Enhancing Wearable Tap Water Audio Detection through Subclass Annotation in the HD-Epic Dataset cites this paper.

Enhancing Wearable Tap Water Audio Detection through Subclass Annotation in the HD-Epic Dataset HD-EPIC: A Highly-Detailed Egocentric Video Dataset

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T13:51:40.469649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:51:40.469649Z digest=sha256:3218de20b351df460be3e9bfd2a3890d046e52979c08edfc2e85ee1e32af55d0

Observation 54f43393-f7a1-4e3a-bc4c-e77a68170581 · inbound

EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding cites this paper.

EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding HD-EPIC: A Highly-Detailed Egocentric Video Dataset

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T12:33:37.342897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:33:37.342897Z digest=sha256:9cb2d6cbed2035612dc908dd71eb2652d852cdebf2a605153bf354bde1e37219

Observation cb94633a-c344-46d0-a195-ee1cbbcc352c · inbound

MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks cites this paper.

MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks HD-EPIC: A Highly-Detailed Egocentric Video Dataset

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T05:49:53.375278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:49:53.375278Z digest=sha256:dbb7d8fc6117bebe89bbd1b065c3dd36609f8512cf33dd0c22353e512a1a1c9c

Observation f7ad62cc-2cef-4822-81b9-d232a190337d · inbound

Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research cites this paper.

Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research HD-EPIC: A Highly-Detailed Egocentric Video Dataset

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-07T00:55:17.068649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:55:17.068649Z digest=sha256:12c34952219b894a640627795b2c4494876ef42a425c8220615f666d46be0956

Observation 7c640ee3-a711-4b62-a391-8a8c515ba6f7 · inbound

Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning cites this paper.

Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning HD-EPIC: A Highly-Detailed Egocentric Video Dataset

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T00:34:33.661243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:34:33.661243Z digest=sha256:681542c5eac95227d3909c36b0042a853ccde626b2dc664ebcd7e54106a81be5

Observation 3819323b-47f2-4425-a1cd-214106eeb319 · inbound

EgoEverything: A Benchmark for Human Behavior Inspired Long Context Egocentric Video Understanding in AR Environment cites this paper.

EgoEverything: A Benchmark for Human Behavior Inspired Long Context Egocentric Video Understanding in AR Environment HD-EPIC: A Highly-Detailed Egocentric Video Dataset

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:36:00.368395Z

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=2026-05-10T17:35:34.760659Z digest=sha256:7fbfd1f0a46f54d63fc87978d2c736ab210f588bbfc60763fb0b3e4fe8a49cb6

Observation ff3e135d-9424-4c5b-8825-90d4de8cae97 · inbound

EgoEverything: A Benchmark for Human Behavior Inspired Long Context Egocentric Video Understanding in AR Environment cites this paper.

EgoEverything: A Benchmark for Human Behavior Inspired Long Context Egocentric Video Understanding in AR Environment HD-EPIC: A Highly-Detailed Egocentric Video Dataset

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T00:18:16.956499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:18:16.956499Z digest=sha256:5b73fded5192ddb5ed891ffd95b54ce2c2cdcdf3deef95e0b737349cd9f1f63e

Observation cba8f6aa-fe85-419c-8228-9993ffeb94a7 · inbound

World Action Models: The Next Frontier in Embodied AI cites this paper.

World Action Models: The Next Frontier in Embodied AI HD-EPIC: A Highly-Detailed Egocentric Video Dataset

Reference 202

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:07:17.880503Z

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=2026-05-13T05:01:16.802019Z digest=sha256:315e55a1fcf27743cda0f719fe0c124db3c552aa02045656dcd29a9d1450910d

Observation 36eee56d-e77c-4465-acc7-50a10a415e1a · inbound

EGOSTREAM: A Diagnostic Benchmark for Streaming Episodic Memory in Egocentric Vision cites this paper.

EGOSTREAM: A Diagnostic Benchmark for Streaming Episodic Memory in Egocentric Vision HD-EPIC: A Highly-Detailed Egocentric Video Dataset

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:42:46.381178Z

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=2026-06-28T22:40:13.720341Z digest=sha256:b4755a4af46a816edce0cb1e7a95b081d54f0f0095d505d634f241dbc7b2c519

Observation 0142080b-618f-4726-8890-db94be87cfd5 · inbound

World Action Models: A Survey cites this paper.

World Action Models: A Survey HD-EPIC: A Highly-Detailed Egocentric Video Dataset

Reference 134

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:09:35.179773Z

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=2026-06-26T17:11:12.686936Z digest=sha256:3f471e626fcce84d7d2bb8eca8a3abf2e255efb572b914340e609533c0d60820

Observation 6b8a99be-e822-4964-b95d-2d868d4a68a8 · inbound

Data Pyramid for Embodied Manipulation cites this paper.

Data Pyramid for Embodied Manipulation HD-EPIC: A Highly-Detailed Egocentric Video Dataset

Reference 299

Resolution
unresolved
no resolver link, observed 2026-07-31T06:18:55.963116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T06:18:55.963116Z digest=sha256:85384a618b9c82acec25d6e8c4c2c5700ec92a6b56391e8a2cf92037f287d2f4