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Paper Citation Record · LEDGER

Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.05963.

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

pith.paper-citation-record.v1
2410.05963 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:48:50.826026Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:49:50.516730Z

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 75b5572e-7504-4007-8d20-c4e7427762e8 · inbound

AutoOcc: Automatic Open-Ended Semantic Occupancy Annotation via Vision-Language Guided Gaussian Splatting cites this paper.

AutoOcc: Automatic Open-Ended Semantic Occupancy Annotation via Vision-Language Guided Gaussian Splatting Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-08T20:48:50.826026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:48:50.826026Z digest=sha256:24e24840984971478697e6a1e673d49e3c3f365782bae93f4c624a71d0b8e393

Observation 3cf8b8dc-d271-4fc8-850d-4bd41317c138 · inbound

Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation cites this paper.

Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:42:41.206735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:42:41.206735Z digest=sha256:95fc83cc46de338834969efa66c18c9508d1f4dcacb7c3df1ecf91eb8939c9eb

Observation 6e62c2d9-ad26-40df-88fc-cabaf3c2faed · inbound

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs cites this paper.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts

Reference 37

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T23:49:50.613998Z

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=2026-08-06T23:49:45.393560Z digest=sha256:68b4f375e96a850bfd35d91198987f684d4064dc3c28675a43f8c77dfd4a8217