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Paper Citation Record · LEDGER

Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.00986.

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

pith.paper-citation-record.v1
2503.00986 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:00:57.988600Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:16:51.314847Z

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 a16b1666-ec09-4126-8ef0-97f72df90039 · inbound

Bridging Perspectives: A Survey on Cross-view Collaborative Intelligence with Egocentric-Exocentric Vision cites this paper.

Bridging Perspectives: A Survey on Cross-view Collaborative Intelligence with Egocentric-Exocentric Vision Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T06:00:57.988600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:00:57.988600Z digest=sha256:bdb822469b6a7ad6bb5f3d2db9ec740b365e002785acca26c7886611b623c341

Observation 01d655ce-abe7-40cd-a530-3a090ae77efa · inbound

villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models cites this paper.

villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-15T21:52:03.136815Z

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=2026-05-15T21:52:02.893886Z digest=sha256:42c3cf12d67ae44e2d8d5f4eb95ac369ad6e9afa30114fa2cc411250d425e42d

Observation fcf0529e-1a02-44a9-b8a0-e2f218fddbda · inbound

Hand Trajectory Fusion for Egocentric Natural Language Query Grounding cites this paper.

Hand Trajectory Fusion for Egocentric Natural Language Query Grounding Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:16:23.365896Z

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=2026-06-28T14:35:59.044093Z digest=sha256:25dd4a4fa51a0dee353a789615261adaa506a5be234535f7de7562fb7b4a0ed4

Observation c8cc51bf-d5df-490b-9b94-ff6fd326c2a2 · inbound

Do Egocentric Video-Language Models Capture Both Hand- and Object-Centric Cues? cites this paper.

Do Egocentric Video-Language Models Capture Both Hand- and Object-Centric Cues? Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T06:16:51.316359Z

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=2026-07-10T06:09:11.411036Z digest=sha256:8ee523ee5e5ffb432ef618f7eb3b929631ca8c270288e5d7749665170ac07ed4